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Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo

Published online by Cambridge University Press:  25 March 2025

Lisa Zook*
Affiliation:
Informed International, Seattle, WA, USA
Ali Bitenga Alexandre
Affiliation:
Informed International, Bukavu, Democratic Republic of Congo
Michelle M. Hood
Affiliation:
Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
Sioban D. Harlow
Affiliation:
Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
*
Corresponding author: Lisa Zook; Email: [email protected]
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Abstract

This study assessed whether a music therapy program improved mental health and school attendance among girls in the Democratic Republic of Congo (DRC) following economic and conflict-related insecurity. It included 483 girls aged 10–14 who participated in the Healing in Harmony (HiH) program, implemented by World Vision and Make Music Matter in Kasai-Central province. Participants completed surveys before and after the program, and up to two follow-up interviews assessing depression, anxiety, self-esteem, and school attendance. Before the program, 36.0% (95% CI 31.7%–40.3%) and 60.5% (95% CI 56.1%–64.8%) screened positive for depression and anxiety, respectively. After participation, the risk of screening positive declined by 75% for depression (RR = 0.27, 95% CI 0.22–0.32) and by about half for anxiety (RR = 0.46, 95% CI 0.41–0.53), with improvements sustained up to 17 months. Self-esteem scores increased by 3.93 points (95% CI 3.22–4.64, p<0.001). School absenteeism decreased from 10% (95% CI 7.2%–12.6%) to 5.4% (RR = 0.54, 95% CI 0.40–0.73). Participation in HiH was associated with sustained improvements in mental health and school attendance. These findings support integrating psychosocial care into humanitarian responses to improve both mental health and educational outcomes for crisis-affected children.

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Research Article
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Copyright
© The Author(s), 2025. Published by Cambridge University Press

Impact statement

This study advances the global understanding of effective interventions to improve mental health among children in conflict settings. Exploring the impact of Healing in Harmony (HiH), a music therapy program, on mental health outcomes as well as school attendance provides critical insights into addressing the unique needs of trauma-affected children exposed to conflict in low- and middle-income country contexts. This article contributed to the evidence base for effective programming in these vulnerable populations. The study was carried out in the Kasai-Central province in the Democratic Republic of Congo among 10- to 14-year-old girls. We found that participating in the HiH program was associated with significant improvement in the children’s mental health. Moreover, these positive benefits were observed to last up to 17 months after girls complete the program

I start to walk alone

The desire for suicide crosses my mind

In the group with whom I now sing

I have been encouraged, and I am moving forward.

(Dinanga Enfants Solidaires, 2022, Ndi Muana Mubanda Mupongo)

Introduction

An estimated 142 million children live in conflict areas, 24 million of whom will require mental health support because of the trauma they experience (Cowley et al., Reference Cowley, Edwards and Salarkia2019). This is the reality for hundreds of thousands of children in Kasai-Central province of the Democratic Republic of Congo (DRC). Following the civil wars in 1996–1997 and 1998–2003, several provinces in the eastern DRC continued to experience economic and conflict-related instability (Warren, Reference Warren2011), with their populations suffering from conflict-associated trauma (Campbell et al., Reference Campbell, Dworkin and Cabral2009; Chen et al., Reference Chen, Murad, Paras, Colbenson, Sattler, Goranson, Elamin, Seime, Shinozaki, Prokop and Zirakzadeh2010; Dossa et al., Reference Dossa, Zunzunegui, Hatem and Fraser2014; Ba & Bhopal, Reference Ba and Bhopal2017). Additional conflicts in 2016 and 2017 within Kasai-Central province caused more than 3,300 deaths, 1.4 million internally displaced persons and the destruction of over 400 schools (UN Human Rights Council, 2018). Children within the area had their school disrupted for up to 2 years (UNICEF, 2017), the challenges of which were compounded by the coronavirus disease 2019 (COVID-19) pandemic. Providing evidence-based psychological services to children and adolescents to reduce the mental health consequences of trauma in the context of ongoing humanitarian crises is critical to healing trauma and improving resiliency (Ceccarelli et al., Reference Ceccarelli, Prina, Alkasaby, Cadorin, Gandhi, Cristofalo, Abujamei, Muneghina, Barbui, Jordans and Purgato2024; Bangpan et al., Reference Bangpan, Felix, Soliman, D’Souza, Jieman and Dickson2024; Purgato et al., Reference Purgato, Gastaldon, Papola, van Ommeren, Barbui and Tol2018; Murray et al., Reference Murray, Augustinavicius, Kaysen, Rao, Murray, Wachter, Annan, Falb, Bolton and Bass2018; Bass et al., Reference Bass, Annan, Murray, Kaysen, Griffiths, Cetinoglu, Wachter, Murray and Bolton2013).

While data on the effectiveness of mental health interventions in humanitarian crises is limited (Kamali et al., Reference Kamali, Munyuzangabo, Siddiqui, Gaffey, Meteke, Als, Jain, Radhakrishnan, Shah, Ataullahjan and Bhutta2020), emerging evidence supports their value in low- and middle-income countries (LMICs) (Ceccarelli et al., Reference Ceccarelli, Prina, Alkasaby, Cadorin, Gandhi, Cristofalo, Abujamei, Muneghina, Barbui, Jordans and Purgato2024; Alozkan-Sever et al., Reference Alozkan-Sever, Uppendahl, Cuijpers, de Vries, Rahman, Mittendorfer-Rutz, Akhtar, Zheng and Sijbrandij2023; Uppendahl et al., Reference Uppendahl, Alozkan-Sever, Cuijpers, de Vries and Sijbrandij2020; Bangpan et al., Reference Bangpan, Felix, Soliman, D’Souza, Jieman and Dickson2024; Purgato et al., Reference Purgato, Gastaldon, Papola, van Ommeren, Barbui and Tol2018; Morina et al., Reference Morina, Malek, Nickerson and Bryant2017). Two recent meta-analyses focused on adults. One found that psychotherapy reduced post-traumatic stress disorder (PTSD) and depression in survivors of mass violence (Morina et al., Reference Morina, Malek, Nickerson and Bryant2017), while the other showed that mental health services reduced PTSD and improved functioning in adults affected by humanitarian crises in LMICs (Bangpan et al., Reference Bangpan, Felix and Dickson2019).

Three recent meta-analyses have included studies that enrolled children and adolescents. One meta-analysis (seven studies, n = 130) found PTSD improved posttreatment, but the effect was not sustained at 4 months (Purgato et al., Reference Purgato, Gastaldon, Papola, van Ommeren, Barbui and Tol2018). In contrast, a larger meta-analysis (13 studies, n = 2,626) of psychological interventions in LMICs found cognitive behavioral therapy and group-based approaches effectively reduced PTSD, depression and anxiety (Uppendahl et al., Reference Uppendahl, Alozkan-Sever, Cuijpers, de Vries and Sijbrandij2020; Alozkan-Sever et al., Reference Alozkan-Sever, Uppendahl, Cuijpers, de Vries, Rahman, Mittendorfer-Rutz, Akhtar, Zheng and Sijbrandij2023). A third meta-analysis of 43 randomized clinical trials also reported that cognitive behavioral therapy improved depression symptoms in children and adolescents affected by humanitarian emergencies (Bangpan et al., Reference Bangpan, Felix, Soliman, D’Souza, Jieman and Dickson2024). Another review highlighted that most studies focused on program implementation rather than the impact on mental health outcomes (Ceccarelli et al., Reference Ceccarelli, Prina, Alkasaby, Cadorin, Gandhi, Cristofalo, Abujamei, Muneghina, Barbui, Jordans and Purgato2024).

The relationship between mental health and schooling in LMICs is increasingly recognized (Aston et al., Reference Aston, Raniti and Shinde2023). Schools, which play a crucial role in providing health education and services where healthcare systems are lacking (Sawyer et al., Reference Sawyer, Raniti and Aston2021), are exploring how school-based interventions can enhance mental health and well-being (Grande et al., Reference Grande, Hoffmann, Evans-Lacko, Ziebold, de Miranda, Mcdaid, Tomasi and Ribeiro2023; Partap et al., Reference Partap, Assefa, Berhane, Sie, Guwatudde, Killewo, Oduola, Sando, Vuai, Adanu, Bärnighausen and Fawzi2023). Despite limited research on the impact of mental health interventions on school attendance, two recent meta-analyses have highlighted the link between anxiety and absenteeism or truancy (Finning et al., Reference Finning, Ukoumunne, Ford, Danielson-Waters, Shaw, Romero De Jager, Stentiford and Moore2019; Dalforno et al., Reference Dalforno, Wengert, Kim and Jacobsen2022).

Emerging evidence suggests that music therapy that is coupled with lyrical music training can be effective in reducing anxiety, depression and PTSD (Erkkilä et al., Reference Erkkilä, Punkanen, Fachner, Ala-Ruona, Pöntiö, Tervaniemi, Vanhala and Gold2011; Carr et al., Reference Carr, d’Ardenne, Sloboda, Scott, Wang and Priebe2012; Carr et al., Reference Carr, Odell-Miller and Priebe2013; Aalbers et al., Reference Aalbers, Fusar-Poli, Freeman, Spreen, Ket, Vink, Maratos, Crawford, Chen and Gold2017; Landis-Shack et al., Reference Landis-Shack, Heinz and Bonn-Miller2017). As music has been shown to stimulate brain areas related to traumatic memory and sensory-emotional processing (Koelsch, Reference Koelsch2009), research suggested that music can facilitate the accessing and processing of severe past trauma (Johnson, Reference Johnson1987; Bensimon et al., Reference Bensimon2022; Carr et al., Reference Carr, d’Ardenne, Sloboda, Scott, Wang and Priebe2012), especially given the photographic versus linguistic nature of traumatic memories (Johnson, Reference Johnson1987; Bensimon et al., Reference Bensimon2022). Thus, the symbols and metaphors present in music and lyric writing can help survivors verbalize and process trauma. McFerran et al. proposed that musical therapy approaches can be organized into four categories – stabilizing, entrainment, expressive and performative (McFerran et al., Reference McFerran, Lai, Chang, Acquaro, Chin, Stokes and Crooke2020). Performative approaches recognize the societal context of trauma, enabling the survivor’s identities to be reconstructed and ‘brought to life’ through song and public musical performance.

Healing in Harmony (HiH) is an innovative music therapy program (Make Music Matter, 2020) centered around a locally built professional recording studio designed to provide therapy to trauma survivors. Working with a trained therapist and professional music producer, participants engage in therapy and develop their musical artistry, approaching the healing process by writing, recording and professionally producing songs about their emotions and experiences. As described elsewhere (Cikuru et al., Reference Cikuru, Bitenga, Balegamire, Salama, Hood, Mukherjee, Mukwege and Harlow2021), this therapeutic approach -- rooted in cognitive behavioral therapy (Rothbaum et al., Reference Rothbaum, Meadows, Resick, Foy, Foa, Kean and Friedman2000) -- uses group sessions and lyrical music to help participants articulate their trauma and begin the cognitive and evaluative stages of health, much like a producer composing an instrumental track to support an unfolding narrative. The goal is for participants to emerge as confident artists and advocates.

In a prior evaluation of the HiH program, the mental health of women living in an insecure rural area who had suffered conflict-related trauma and/or conflict-related sexual violence was also observed to improve following their participation in the HiH program (Cikuru et al., Reference Cikuru, Bitenga, Balegamire, Salama, Hood, Mukherjee, Mukwege and Harlow2021). The proportion screening positive for anxiety, depression and PTSD declined by 40%, 50% and 50%, respectively, with results sustained through 6 months of follow-up. In addition, self-perceived stigma, feelings of unworthiness and unhappiness declined, while reporting a sense of happiness and feeling proud of and liking oneself increased substantially.

World Vision engaged Make Music Matter (MMM) to implement HiH as a component of their programming in the DRC, including in the Equality for Girls Access to Learning (EGAL) project, an inclusive, gender-transformative initiative designed to enhance girls’ agency, resilience in fragile contexts and independent decision-making. The project sought to enhance girls’ agency, increase their resilience in fragile contexts, create education opportunities and improve their power for independent decision-making. Within that framework, the HiH program aimed to reduce barriers, specifically psychosocial stress, that prevent girls from accessing education.

This study aimed to assess whether participation in HiH was associated with a decrease in symptoms of depression or anxiety, or an increase in self-esteem in children who experienced trauma because of the prolonged violent conflict in the area. In addition, the study examined how school attendance changed over the life of the program and whether shifts in school attendance were correlated with depression, anxiety or self-esteem.

Methods

This study utilized a pre–post design with longitudinal follow-up (Shadish et al., Reference Shadish, Cook and Campbell2002) to assess an HiH program rolled out as part of a World Vision education project, which aimed to reduce barriers to education for girls, aligned to the objectives of Global Affair Canada’s G7 Charlevoix funding for girls’ education in fragile contexts. The project was implemented in two districts in the Kasai-Central province (hereafter referred to as District 1 and District 2), which are areas of ongoing conflict, violence and instability. The study included the catchment areas of 22 primary and 2 secondary schools participating in the World Vision project.

The HiH program

The HiH program was implemented by the MMM program team for community members located within World Vision programming sites. The program was overseen by a qualified psychologist and technical lead based in Bukavu. In each district, the MMM program team recruited a psychologist and a music producer to run the HiH sessions and facilitate the songwriting and production. World Vision assisted HiH program staff with logistics and acted as a bridge between the community and the program, often liaising with local schools. The therapeutic approach is more fully described elsewhere and summarized in Supplementary Table S1 (Cikuru et al., Reference Cikuru, Bitenga, Balegamire, Salama, Hood, Mukherjee, Mukwege and Harlow2021).

HiH program participants were identified after a large-scale community sensitization initiative that reached diverse members of the target community, including school authorities, parent committees, students and parents within the school communities. However, the EGAL program targeted girls and participation in the HiH program was designed to be inclusive of the broader community based on community input. Project staff identified 1,392 program participants from District 1 and 1,275 from District 2 through this process. Five cohorts of participants per district were enrolled in the HiH program between April 2021 and January 2023. Each cohort included 200–300 participants, a mix of both boy and girl children, as well as adult women. For facilitation, participants were organized into groups of 25–30, who participated in the therapy program together. The first cohort participated in HiH programming over 5 months, with one session held per week. Cohorts 2–5 took part in the usual program cycle of 12 weeks per cohort, with sessions held twice per week, followed by a period of performing and sharing their music with the community. Overall, the HiH program had a completion rate of 74.7%, with a higher completion rate in District 2 (83.9%) than in District 1 (70.9%). Completion rates differed by age category. Only 49.1% of those over 18 years completed the program, compared with completion rates of 86.4% for children under 9 years, 83.8% for children 10–14 years of age and 67.7% for 15- to 17-year-olds.

Data collection

Two research teams gathered data to use for this analysis. The first team consisted of two HiH program staff, and the local psychologists ran the intervention programming and collected pretest and posttest for all program participants. MMM carried out programmatic and data collection training for this first team over a period of 5 days. HiH program staff were trained to complete the pre- and post-assessments for all program participants, completing pre- and post-interviews for the first three cohorts and pre-interviews for the fourth cohort.

Subsequently, a second team, Informed International (hereafter referred to as Informed), was hired by World Vision to carry out an independent evaluation of the HiH component of World Vision’s EGAL project, which, as noted above, focused on enhancing girl’s agency. Thus, this component of the data collection focused on girls aged 10–14 years. Informed employed enumerators identified by the University of Kananga Kasai’s Dean of Social Sciences Psychology as strong fourth-year students and graduate assistants. Over 6 days, Informed trained 20 enumerators, 16 of whom were hired for data collection. Informed undertook data collection in October 2022 and January 2023. For a random sample of 10- to 14-year-old girls, Informed conducted the post-interview and a 4-month follow-up interview for Cohort 4 and the pre- and post-interviews for Cohort 5. During each data collection period, Informed also collected follow-up interviews with a random sample of 10- to 14-year-old girls in Cohort 13 at 4, 10 and 14 months and at 8, 14 and 18 months, respectively. Follow-up interviews included a caregiver survey of one caregiver for each study participant.

Study participants

This research focused on girls because this study was funded as part of the World Vision’s EGAL project. The EGAL project aimed to develop effective strategies to help girls in the DRC cope with trauma from gender-based violence, reduce anxiety, depression and PTSD, and improve school attendance. The evaluation was limited to the 10- to 14-year age group as funding was limited, and only this age group was well-represented across all five rounds of the HiH program implementation.

As described in Table 1, a total of 1,214 school-going girls aged 10–14 years old were enrolled in the HIH program. The pre–post evaluation reported here focused on a subsample of the 1,018 (83.8% of the 1,214) girls aged 10–14 years, who completed the HiH program. Study participants were identified by random sample and stratified by cohort and district. Of the 507 enrolled, the study team observed a 4.7% loss to follow-up between data collection periods and completed the study with 483 girls 10–14 years of age.

We utilized data collected by the HiH staff for the pre- and post-assessments for eligible study participants in Cohorts 1–3 and the pre-assessment for Cohort 4, and data collected by Informed’s study team for the post-assessment for Cohort 4 in October 2022 and the pre- and post-assessments for Cohort 5 in October 2022 and January 2023, respectively. The two follow-up interviews with sampled participants in Cohorts 1–3 were collected during the October and January data collection periods, and the one follow-up interview for Cohort 4 during the January data collection period is described in Figure 1.

Table 1. HiH cohort enrollment, completion, study sampling and attrition (10- to 14-year-old females only)

Figure 1. Illustration of the study design. The HiH program was implemented sequentially across five time periods (gray): April–August 2021, October–December 2021, April–June 2022, August–October 2022 and November 2022–January 2023, with data collection occurring at the start and end of each program (white stars), in addition to October 2022 and February 2023 (black stars).

The study was approved by the Ethics Committee Republique Democratique du Congo–Comité National d’Ethique de la Sante (CNES), CNES 001/DPSK/1922.2022. Consent was obtained from each child’s parent or guardian, and assent was obtained from each girl child for each interview. Child interviews were carried out at the schools, while caregiver interviews were conducted at the World Vision HiH program facilities in French and Tshiluba.

Measures

Each cohort was administered a mental health screening shortly before (pretest/Time 0) and immediately after completing (posttest/Time + 1) their HiH program. The interval between the pretest (Time 0) and the posttest (Time +1) is the same for all cohorts except for Cohort 1 due to the constraints of the COVID-19 pandemic. Follow-up interviews were conducted 3.5–17 months posttreatment (see Table 2). In addition to assessing mental health, interviews obtained information on demographic characteristics, risk factors and school participation.

Table 2. Data collection schedule

Mental health assessment

Measures included the Birleson Depression Self-Rating Scale for Children (Birleson et al., Reference Birleson, Hudson, Buchanan and Wolff1987), the Hopkins Symptom Checklist (HSCL) (Parloff et al., Reference Parloff, Kelman and Frank1954) to assess anxiety and the Rosenberg Self-Esteem Scale (Rosenberg, Reference Rosenberg1965). This depression scale has been applied across diverse cultural settings, including among children in Afghanistan and Nepal (Panter-Brick et al., Reference Panter-Brick, Eggerman, Gonzalez and Safdar2009; Kohrt et al., Reference Kohrt, Jordans and Tol2011). The HSCL has been used extensively in high-conflict, cross-cultural contexts to assess mental health symptoms (Tay et al., Reference Tay, Jayasuriya and Jayasuriya2017), including in a study among adolescents in conflict-affected regions of Eastern DRC (Mels et al., Reference Mels, Derluyn, Broekaert and Rosseel2010). Similarly, the Self-Esteem Scale is a well-established measure for assessing adolescents, most notably in a study among adolescent refugee girls in Ethiopia (Stark et al., Reference Stark, Asghar, Seff, Cislaghi, Yu, Tesfay Gessesse, Eoomkham, Assazenew Baysa and Falb2018). To ensure the cultural appropriateness of these measures, we undertook a translation and adaptation process, including forward and backward translation by bilingual experts, reconciliation of discrepancies and pilot interviews with a sample of participants to assess comprehension and cultural relevance.

The 18-item Birleson was asked of each child, with children responding for each item whether it was experienced most of the time (2), sometimes (1) or never (0) over the last week. The responses were summed, and students scoring at or above 18 were classified as screening positive for depression, as validated in a similar context among children in Burundi (Ventevogel et al., Reference Ventevogel, Komproe, Jordans, Feo and De Jong2014). For anxiety, children were asked to indicate the frequency they had experienced each of a 10-item inventory of anxiety symptoms in the HSCL, including not at all (0), a little (1), quite a bit (3) and extremely (4) in the last month. The responses were summed across all items, and a mean score was calculated. Children were classified as screening positive for anxiety if their mean score was ≥1.85 (Strand et al., Reference Strand, Dalgard, Tambs and Rognerud2003). The Self-Esteem Scale is a 10-item inventory, with each question using a 1- to 4-point Likert scale. Scores were summed such that higher values indicate higher levels of self-esteem, ranging from 10 to 40.

School participation

Information on a child’s enrollment status and attendance at school over the last 4 weeks was gathered from both the child respondent and caregiver, as well as from the school records. Absenteeism rates were determined by examining school attendance records for the 4 weeks preceding data collection. Schools were open between 20 and 26 days in the 4 weeks before data collection, depending on the school. Data from school records on enrolment and attendance were used in the primary analyses and supplemented by the child and caregiver survey data regarding reasons for school absence.

Demographic characteristics and risk factors

Demographic characteristics included age, although it should be noted that age is often not precisely known, such as grade in school, socioeconomic status (SES) and disability status. Both age and grade were gathered by child self-report, and grade level was considered more reliable than age data. To determine SES, children were asked whether their household owned any of the 12 possessions, such as a radio, mobile phone, electricity, bicycle, car or toilet (UNICEF, 2019). The number of possessions was summed, and then the summation was divided into three groups. Disability status was determined based on the Washington Group Short Set on Functioning (WG-SS), a set of six questions the girl’s caregiver asked regarding difficulties seeing, hearing, walking or climbing stairs, remembering or concentrating, self-care and communication (expressive and receptive). Each question has four response categories to assess the severity to which the difficulty is experienced: no difficulty, some difficulty, a lot of difficulty and it cannot be done at all (Altman, Reference Altman2016). Girls were identified as disabled if at least one domain is coded as a lot of difficulty or cannot do at all.

Statistical analysis

We calculated the mean and standard deviation of each continuous variable and the frequencies for each categorical variable at each time point for each cohort.

To assess change over time, a time variable was defined in relation to the start of the therapy (0 = start of therapy, +1 = end of therapy, +2 = first follow-up and +3 = second follow-up). We calculated descriptive statistics and constructed box plots for depression, anxiety and self-esteem scores at each time point, overall and by cohort. In addition, we calculated the percentage and 95% confidence intervals (CIs) for scoring positive for depression and anxiety at each time point.

We constructed generalized estimating equation (GEE) models with unstructured covariance and a normal distribution to estimate mean differences in continuous scores. To estimate relative risks (RRs), proportions were modeled using GEE with an unstructured covariance and Poisson distribution (Zou and Donner, Reference Zou and Donner2013). We summarized the HiH program effects by collapsing time into pretest (Time 0) and posttest (Time +1, +2 or +3) periods. We adjusted all models for the design variable cohort and district, grade and SES. Observations with missing data were excluded from the regression models. As a sensitivity analysis, we also ran models for each cohort separately. Statistical significance was defined at α <0.05. Analyses were performed using Stata/MP 15.1.

Results

The 483 girls ranged in age from 10 to 14 years, with a median age of 12 years. Table 3 provides information on the distribution of participant characteristics overall and by cohort. Two-thirds of participants were in District 2 (67.9%). Cohort 2 tended to be older, with 65.2% of participants being 13–14 years old. Almost all (99.8%) participants were enrolled in school with a median grade of 6. Few (4.8%) of the participants screened positive for a disability, according to the WG-SS. Over half (57.6%) of the participants were in the low SES category based on possessions. Cohorts 1 and 5 had the greatest proportion of participants in the low SES category.

Table 3. Demographic and education characteristics of girls enrolled in the study

a χ2 test.

b Fisher’s exact test.

Mental health measures

Boxplots of the scores for anxiety, depression and self-esteem by time are provided in Figure 2. Similar boxplots by Cohort are provided in Supplementary Figure S2. At the pretest (Time 0), median scores for depression were 17; (interquartile range [IQR] = 13–20) declining to 14 (IQR = 8–18) at the posttest assessment (Time +1), while scores for anxiety were 20 (IQR = 15–25) declining to 13 (IQR = 11–17) and for self-esteem were 27 (IQR = 24–29) increasing to 30 (IQR = 28–32) over the same period. After the HiH program, median scores for depression declined more substantially to 11 (IQR = 7–14) at the first and 9 (IQR = 7–11) at the second follow-up. Anxiety fluctuated, increasing to 18 (IQR = 12–23) at the first follow-up and decreasing again to 12 (IQR = 11–15) at the second follow-up.

Figure 2. Boxplots of depression, anxiety and self-esteem average scores by time.

The proportion of girls who screened positive for depression and anxiety, as well as average self-esteem score, is presented in Table 4 by time and cohort. At the pretest (Time 0), 36.0% screened positive for depression and 60.5% for anxiety; 20.1% screened positive for both conditions at the pretest time. At the posttest (Time +1), 18.0% screened positive for depression, 20.3% screened positive for anxiety and 2.9% screened positive for both conditions.

Table 4. Proportion (and 95% CIs) of girls who screened positive for depression and anxiety, average self-esteem score by time and cohort

a McNemar’s χ2 test.

As evidenced in Table 4, anxiety spiked at Time +2 for Cohorts 1–3, Time +1 for Cohort 4 and Time 0 for Cohort 5, which coincided with the food insecurity observed in October, as discussed in the methodology.

School attendance measures

According to school records, 99.8% of the girls in the research study were officially enrolled in school. Overall, for the 4 weeks before data collection, girls missed an average of 2.0 days at follow-up 1 and 1.4 days at follow-up 2, with absenteeism rates of 8.2% and 6.1%, respectively, after accounting for the number of days the school was open during that period (ranging from 20 to 26 days). Reasons for missing school were most often illness, followed by chores or lack of money. Figure 3 shows that although the median absenteeism rate is relatively low, the average absenteeism rate improvement came from outliers with very high absenteeism rates at pretest. At the pretest, 21 of the 176 (11.9%) study participants in Cohort 5 missed five or more days in the last 4 weeks of school. This number decreased to six (3.4%) participants by posttest.

Figure 3. Boxplot of days absent over the last 4 weeks for Cohort 5 by pretest and posttest.

Multivariable regression analyses for mental health measures

Table 5 presents the multivariable regression results for anxiety and depression adjusting for cohort, district, grade level and SES. Anxiety and depression scores decreased significantly from pretest to posttreatment by an average of four to five points. The probability of screening positive for anxiety declined by about half post-participation in HiH compared to the pretest (RR = 0.46, 95% CI = 0.41, 0.53). The probability of screening positive for depression declined by about 75% (RR = 0.27, 95% CI = 0.22, 0.32).

Table 5. Regression models for anxiety and depression, all cohorts (N = 438; observations = 1,462)

*** p < 0.001, ** p < 0.05, * p < 0.01.

Multivariable regression analyses for self-esteem and education measures among Cohort 5

Table 6 presents the multivariable regression results for self-esteem and school absenteeism among Cohort 5 program participants. Models were adjusted for district, grade level and SES. From the pretest to the posttest, program participants increased their self-esteem score by an average of about four points (β = 3.93, 95% CI = 3.22, 4.64). Program participants had an average absenteeism rate of 10% on the pretest, which significantly decreased to 5.4% on the posttest (RR = 0.54, 95% CI = 0.40, 0.73), representing a 46.6% reduction.

Table 6. Regression models for self-esteem and Poisson link model for school absenteeism, Cohort 5 only

***p < 0.001, **p < 0.05, *p < 0.01.

Discussion

We evaluated the impact of the HiH music therapy program (Cikuri et al., 2021) on adolescent mental health and school attendance within communities supported by World Vision development programming in Kasai-Central province, DRC. Before beginning the program, one-third of the adolescent girls who were participating screened positive for depression, while 60% screened positive for anxiety. Immediately following the HiH program, the probability of screening positive for depression declined to one-fifth and for anxiety to 40%. After completion of the HiH program, median scores for depression continued to decline, whereas anxiety fluctuated, increasing at the first follow-up and decreasing again at the second follow-up. Improvements in mental health occurred in the context of ongoing trauma and insecurity and were sustained for up to 17 months following the program. Self-esteem improved from pre- to post-participation in the HiH program, while frequent absenteeism declined.

These findings are consistent with prior research documenting that psychotherapy reduces depression and anxiety when provided in the context of humanitarian crises (Bangpan et al., Reference Bangpan, Felix and Dickson2019; Purgato et al., Reference Purgato, Gastaldon, Papola, van Ommeren, Barbui and Tol2018; Morina et al., Reference Morina, Malek, Nickerson and Bryant2017). Although the literature is limited, in a meta-analysis of 11 studies of mental health and psychosocial support (MHPSS) programs or interventions aimed at addressing common mental health disorders or challenges in humanitarian contexts among adults, the standardized mean differences (SMDs) in anxiety and depression were −0.69 and −0.71, respectively (Bangpan et al., Reference Bangpan, Felix and Dickson2019), comparable to results of our study, which were −0.65 and −0.91 for anxiety and depression, respectively. Two meta-analyses of 13 studies and 43 randomized controlled studies examining psychological and psychosocial interventions for children and adolescents in LMICs also found that interventions involving cognitive behavioral therapy and group-based approaches were effective in reducing PTSD anxiety and depression (Uppendahl et al., Reference Uppendahl, Alozkan-Sever, Cuijpers, de Vries and Sijbrandij2020) (pooled SMD = −0.15, 95% CI = −0.29, −0.01) (Bangpan et al., Reference Bangpan, Felix, Soliman, D’Souza, Jieman and Dickson2024). Notably, we documented that the levels of depression continued to improve following completion of the program up through 17 months. However, ~17% of the children continued to screen positive for at least one of the two conditions 17 months after completing the program. Further research is needed to identify risk factors and appropriate interventions for chronic mental health problems in conflict settings.

The HiH program was implemented in a school-based program. Over 85% of the participants completed the program, providing additional evidence of schools’ role in improving adolescents’ access to mental health interventions (Grande et al., Reference Grande, Hoffmann, Evans-Lacko, Ziebold, de Miranda, Mcdaid, Tomasi and Ribeiro2023; Partap et al., Reference Partap, Assefa, Berhane, Sie, Guwatudde, Killewo, Oduola, Sando, Vuai, Adanu, Bärnighausen and Fawzi2023). We found that frequent absenteeism declined among program participants, suggesting a potential added educational benefit of providing school-based mental health services.

Interpretation of results requires reflection on food insecurity during the data collection period. Leading into the period of Informed’s data collection, villages in the area experienced significant inflation and a surge in market price from 0.5 to 2 USD per kilo for corn flour (maize meal), the main food staple between June and October 2022 (FEWS NET, 2022). Qualitative interviews carried out in December 2022 suggested higher prices, up to 10 USD per kilo, and participants identified food insecurity as impacting their mental conditions and increasing tension within and between families. This highlights the importance of food security for mental health and suggests the importance of integrating programs and coordinating across agencies and nongovernmental organizations to more effectively address mental health in the context of ongoing humanitarian crises.

We observed heterogeneity across cohorts in the timing of improvement in depression scores, with Cohorts 1–3 showing improvement only in the follow-up interviews, while Cohorts 4 and 5 showed improvement from the pretest to the posttest. This heterogeneity could be due to differences in the security contexts at the time of the intervention, differences in the time it took individuals to integrate the skills learned in the intervention or to increasing familiarity and skill of the program psychologists in delivering the intervention across time. It is also possible that the administration of the depression scale differed across the two data collection teams. However, as discussed above, extensive efforts were made by the Informed team to ensure testing comparability.

This study had limitations. The program lacked clear inclusion criteria for program participation. This led to differences in age distribution by cohort, which cannot be fully accounted for by adjustment. The COVID-19 pandemic led to an alteration in programming for Cohort 1, which only received one HiH session per week, while Cohorts 2–5 had two sessions per week. This difference in dosage could not be fully accounted for in the analysis. Although the program design intended to include children not enrolled in school, the research team learned that partway through the program, implementation was narrowed to include only children enrolled in school. This limited the research’s ability to examine the impact of MHPSS on school enrollment rates. The shift in the data collection team (from HiH program staff to Informed evaluators) may have led to inconsistent measurement; however, Informed made every effort to replicate training processes from the original team. As efforts to conduct follow-up interviews to evaluate the longer-term impacts of participation in HiH were only undertaken once Informed began data collection, time since completion of the program varied across cohorts. Thus, we cannot assess whether the shorter- and longer-term impacts differed across cohorts. The research study only included participants who completed the HiH program; therefore, selection bias is possible. Finally, we were not able to include a pretreatment comparison group to approximate a step-wedged design.

The study also has several strengths, including a large sample and multiple assessments per child. Information on mental health status was obtained before and up to 17 months after the program’s completion, providing new information about the importance of longer-term follow-up in children to allow time for the integration of skills learned. Standardized instruments were used, and instruments were translated into Tshiluba. The study contributes to the scientific understanding of the value of psychosocial services in the context of ongoing insecurity.

In conclusion, this study found that the HiH music therapy program was associated with improvements in girl’s depression and anxiety, with the most notable changes observed several months after program completion. In addition, we observed increases in participants’ self-esteem and improved school attendance. These results align with previous research on the HiH, an integrated music and psychological care program, demonstrating its value in ongoing humanitarian crises. Further research should consider clinical comparative trials to evaluate the program’s effectiveness. Additionally, exploring the societal impact of participants’ songs and community engagement – such as potential reductions in stigma or increased social inclusion – would provide valuable insights (McFerran et al., Reference McFerran, Lai, Chang, Acquaro, Chin, Stokes and Crooke2020). These promising findings support scaling up the intervention, with the success of such expansion dependent on recruiting sufficient numbers of qualified psychologists to deliver the program.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2025.31.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/gmh.2025.31.

Data availability statement

The data supporting this study’s findings are available from World Vision Canada. Restrictions apply to the availability of these data, which were used under license for this study. Data are available directly from World Vision Canada or the authors with permission from World Vision Canada.

Acknowledgments

The authors would like to thank the Informed International’s Data Collection Coordinator, Rosalie Biaba Apasa, who worked to ensure the quality of data collection. The authors would also like to thank the Make Music Matter psychologists in Kasai province, Junior Tshiasuma Bamulenga and Nathanael Maganula Mubwirwa, who assisted with local logistics and provision of insights into program implementation. They also thank the Make Music Matter lead therapist and trainer, Justin Cikuru, who provided access to HIH participant pre/posttest data sets and details about the HiH program design, and the World Vision’s project managers in DRC and Canada, Julien Risasi and Diana Morrow, who provided coordination support through the research study and the communities participated in this study.

Author contribution

Lisa Zook and Sioban D. Harlow developed the study and carried out the study design. Ali Bitenga contributed to the study design, trained enumerators, oversaw data collection and contributed to data interpretation. Michelle M. Hood led the data analysis methodology while Lisa Zook carried out the data analysis. Sioban D. Harlow led the outline of the manuscript, while Lisa Zook led the manuscript writing. All authors discussed the results and contributed to the final manuscript, which included review, revision and edits.

Financial support

World Vision’s support of Healing in Harmony was funded by Global Affairs Canada.

Competing interest

The authors declare no competing interests.

Ethical standard

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

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Figure 0

Table 1. HiH cohort enrollment, completion, study sampling and attrition (10- to 14-year-old females only)

Figure 1

Figure 1. Illustration of the study design. The HiH program was implemented sequentially across five time periods (gray): April–August 2021, October–December 2021, April–June 2022, August–October 2022 and November 2022–January 2023, with data collection occurring at the start and end of each program (white stars), in addition to October 2022 and February 2023 (black stars).

Figure 2

Table 2. Data collection schedule

Figure 3

Table 3. Demographic and education characteristics of girls enrolled in the study

Figure 4

Figure 2. Boxplots of depression, anxiety and self-esteem average scores by time.

Figure 5

Table 4. Proportion (and 95% CIs) of girls who screened positive for depression and anxiety, average self-esteem score by time and cohort

Figure 6

Figure 3. Boxplot of days absent over the last 4 weeks for Cohort 5 by pretest and posttest.

Figure 7

Table 5. Regression models for anxiety and depression, all cohorts (N = 438; observations = 1,462)

Figure 8

Table 6. Regression models for self-esteem and Poisson link model for school absenteeism, Cohort 5 only

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Author comment: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R0/PR1

Comments

No accompanying comment.

Review: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

Dear Authors,

Thank you for the opportunity to review your manuscript. The study addresses a valuable topic and contributes to the understanding of how music therapy interventions may impact mental health and school attendance in the challenging context of DRC.

See below some general and line-specific comments.

General Comments:

1. Population: Clarify how the intervention, which involved boys, girls, and adult women, resulted in a sample limited to girls only. This needs to be explicitly detailed in the methods section.

2. Time Points: The issue of timepoints for follow-up assessments needs to be addressed. The effects of the intervention may vary depending on the time since its conclusion. This should be acknowledged in the discussion/limitations section and/or better explained in the methods section.

3. Intervention Intensity: Cohort 1 had one session only, while cohorts 2-5 had two sessions per week. How was this disparity handled methodologically? If it was not accounted for, please acknowledge this in the discussion/limitations section.

4. Conclusion: The phrasing “had a positive impact” implies causality, which does not seem to be supported by the study’s design. Consider rephrasing this statement to reflect an association with the positive changes observed, rather than implying a causal relationship.

Line-Specific Comments:

• Abstract: It would be helpful to report significance levels/confidence intervals for all the reported findings.

• Page 6, Line 88: Ceccarelli et al. is not a meta-analysis but a systematic review. Please correct.

• Page 9, Line 171: “of’6 days” — correct the spelling.

• Page 9, Line 176: Consider removing the mention of the additional qualitative study at this stage. This could be integrated into the discussion if tied to future research.

• Page 11, Line 202: The paragraph interpreting results in the context of the study might not be appropriate for the methods section. Consider moving this to the discussion and integrating it there.

• Page 12, Line 225: Substantiate the choice of the Hopkins Symptom Checklist and the Rosenberg Self-Esteem Scale by referring specifically to their relevance to the population of interest (e.g., cultural appropriateness, local validation, etc.). Additionally, provide details on the translation and adaptation process for these measures that were carried out in this study.

• Page 12, Line 243: Provide a source for the method used to assess SES or other justification.

• Page 13, Line 254: Were there missing data? If so, how were they handled?

• Page 21, Line 367: A new update of the cited review is available (10.1111/jcpp.13891). Please refer to this most recent work.

• Page 21, Line 380: The work by Cikuru (2021) is interesting but would fit better in the introduction to build the rationale for the study.

• Page 23, Line 417: The introduction of a concept relating to stigma reduction and social inclusion seems to come out of the blue. Provide context or remove.

• Page 23, Line 420: This is a strong statement, but it lacks citations and is not directly tied to the reported results. Consider rephrasing or omitting.

Review: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

This manuscript describes the result of a pre-post evaluation of the Healing in Harmony program, a music-based therapy program, on mental health and school attendance among young adolescent girls in a conflict setting in the Democratic Republic of Congo. This manuscript is well-written, and presents findings from an important investigation, which suggests music therapy as a potentially promising method of improving mental health and school attendance among young adolescent girls. There are a few points of clarification that I think are important to address – listed in order below.

1. Abstract: hard to know really what the median scores for depression and anxiety mean as we don’t know the scale or the score range at this point.

2. Abstract: it would be ideal to include always the 95% CI at a minimum (and P as well) when reporting risk ratios (when stating “RR = 0.27 for depression….”.

3. Abstract: the line in the conclusion “Although food and economic insecurity…” – feels like a lot to put in the abstract and might be better to just discuss in the main paper. (The rationale is that there is already a lot of information in the abstract, and this statement in the conclusion raises more questions than providing a summary because it is not central to the main results).

4. Introduction: Para 2 (starting line 69 as the authors have assigned lined numbers) is “an emerging evidence base suggests the value of mental health interventions” – is this specifically for humanitarian settings?

5. Introduction Paras 2 and 3: The authors state “two meta-analyses included only studies of adults” and “Three meta-analyses included studies with children and adults” are the meta-analyses the authors cite the result of a systematic search, or are these more “sentinel” papers or recent meta-analyses?

6. Introduction Para 3 line 79-80: what sorts of interventions did the meta-analyses addressed look at? (i.e. what was the actual form/content of interventions – broadly grouped?) This would be helpful to understand and contextualize e.g. to what extent music therapy or similar techniques have been done before.

7. In line with the above point – for the Intro/Discussion – how much previous evidence is there specifically about music-based therapy for mental health? I found this to be slightly missing.

8. Introduction and Discussion – the authors cite Partap et al. 2023 and Grande et al. 2023 as suggesting that supporting mental health can lead to increased school attendance. Looking at these references, Partap et al. 2023 looked at depression or school-going status (not attendance) as exposures and risky behaviors as outcomes – but did not explicitly cross-tabulate or look at the association between depression/mental health and how this affects school going status. Additionally, Grande et al was a systematic review that looked at school-based interventions to improve mental health, but I did not see that the authors stated or reported school attendance as outcomes. I would recommend that the authors double check these references, and update with more suitable ones.

9. Methods Line 141-142. I appreciate that some details about the HiH program have been previously published, and Cikuru et al, 2021 has been cited. However, Cikuru et al 2021 is a paper on the same program but in a different population as I understand. The approach in this paper is described in the supplementary in terms of general stages. I think it would b helpful to add as supplementary here and also add more details. Approximately how long did each stage last across the 12 weeks? Was there tailoring to different age groups? Was the same content delivered across all cohorts (and was it that only the frequency and overall length of intervention delivery was different for cohort 1?). These are good to understand since it appears from some of the results that depression and anxiety scores over time (pre- and post-treatment) appear to really vary by cohort, and one question is to what extent this might be a result of differences in how the intervention was delivered across cohorts.

10. Results Table 3: For Grade and Disability, first column (overall), the numbers do not add up to 483. If there are missing data, these should be reported in this table as a separate category for each of these variables.

11. Table 4: it is very interesting to see that there aren’t really any pronounced effects on depression between T0 and T1 in the first three cohorts. Is there anything that could explain this that the authors could touch upon in the Discussion?

12. Also – for Figure 1, it may be nice to see actually boxplots that, similar to table 4, split up the cohort-specific distributions by time point as well – just to see how these line up with the proportions in Table 4.

13. Results line 315, figure 2 and generally throughout – may be good to be consistent with the terms and use either pre-test/post-test OR pre-treatment post-treatment

14. Discussion line 359: for the cited meta-analysis, what sorts of interventions did this look at? It would be helpful to know how these compare to the very distinctive music therapy that is reported on in this paper

15. Discussion lines 388-392 – the paragraph is duplicated (appears also in lines 374-378).

16. Discussion and limitations:

a. maybe good to make very clear in the methods itself that ultimately, only school-going children were recruited for this.

b. Other limitations maybe important to include – I understand the depression tool has been previously validated in similar populations, but what about the anxiety tool and others?

17. It would be good if the authors could discuss any other notes about interventions that would be effective in this setting. As the authors themselves state, food insecurity appears to be an important contributor to depression and anxiety in this setting. To what extent then could the current intervention help reduce the burden of such disorders? Or, what do the authors think about integrating approaches to more effectively address mental health in these settings?

18. Any discussion on feasibility of implementation and scale-up?

19. I may have missed this in the methods, but why focus on evaluating just girls in this context – particularly if the participants included others too? (If the authors are planning to do separate analyses, perhaps this could be highlighted). Any thoughts or discussion on whether additional populations should be targeted in future assessments?

Recommendation: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R0/PR4

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Decision: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R0/PR5

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Author comment: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R1/PR6

Comments

Thank you very much for your interest in our manuscript. Below are our responses to the reviewer and editorial comments. All page numbers and line items reference the tracked changes document.

RESPONSE TO REVIEWERS AND EDITORIAL COMMENTS

EDITORS COMMENTS

- Please include the abstract in the main text document. Done, line 8

- Please include an Impact Statement below the abstract (max. 300 words). This must not be a repetition of the abstract but a plain worded summary of the wider impact of the article. Done, line 42

- Submission of graphical abstracts is encouraged for all articles to help promote their impact online. A Graphical Abstract is a single image that summarises the main findings of a paper, allowing readers to quickly gain an overview and understanding of your work. Ideally, the graphical abstract should be created independently of the figures already in the paper, but it could include a (simplified version of) an existing figure or a combination thereof. Graphical abstracts should not be too text-heavy, in order to be easily viewable at thumbnail size. If you do not wish to include a graphical abstract please let me know. A graphical abstract is now included as a separate file.

- Please ensure references are correctly formatted. In text citations should follow the author and year style. When an article cited has three or more authors the style ‘Smith et al. 2013’ should be used on all occasions. At the end of the article, references should first be listed alphabetically, with a full title of each article, and the first and last pages. Journal titles should be given in full. Done

- Statements of the following are required in the main text document at the end of all articles: ‘Author Contribution Statement’ Done, line 541, ‘Financial Support’ Done, line 549, ‘Conflict of Interest Statement’ Done, ‘Ethics statement’ (if appropriate) Done, ‘Data Availability Statement’ Done, line 552. Please see the author guidelines for further information.

- Please submit figures as separate files and please ensure all files are submitted in an editable electronic format. Have submitted as requested as separate files.

Reviewer: 1

Thank you for the opportunity to review your manuscript. The study addresses a valuable topic and contributes to the understanding of how music therapy interventions may impact mental health and school attendance in the challenging context of DRC. Thank you.

General Comments:

1. Population: Clarify how the intervention, which involved boys, girls, and adult women, resulted in a sample limited to girls only. This needs to be explicitly detailed in the methods section.

RESPONSE: We added the following paragraph in Study Participants sub-section of the methodology on page 10, line 218.

“This research focused on girls because this study was funded as part of the World Vision’s EGAL project. EGAL aimed to develop effective strategies to help girls in the DRC cope with trauma from gender-based violence and reduce anxiety, depression, and PTSD and to improve school attendance. Evaluation was limited to the 10-14 year age group as funding was limited and only this age group was well-represented across all five rounds of the HiH program implementation.”

2. Time Points: The issue of timepoints for follow-up assessments needs to be addressed. The effects of the intervention may vary depending on the time since its conclusion. This should be acknowledged in the discussion/limitations section and/or better explained in the methods section.

RESPONSE: We have added text in the second paragraph of the Methods, Data Collection section (Page 9, starting at line 208) to clarify the follow-up time points.

“Informed undertook data collection at in October 2022 and January 2023. For a random sample of 10-14-year-old girls, Informed conducted the post-interview and a 4-month follow-up interview for cohort 4 and the pre and post-interviews for cohort 5. During each data collection period, Informed also collected follow-up interviews with a random sample of 10-14 year-old girls in cohorts 1-3 at 4, 10, and 14-months and 8, 14 and 18-months, respectively.”

We have also added the following text to the limitations section in the discussion (Page 24, line 490)

“As efforts to conduct follow-up interviews to evaluate the longer-term impacts of participation in HiH were only undertaken once Informed began data-collection, time since completion of the program varied across cohorts. Thus we are not able to assess whether the shorter and longer-term impact differed across cohorts.”

3. Intervention Intensity: Cohort 1 had one session only, while cohorts 2-5 had two sessions per week. How was this disparity handled methodologically? If it was not accounted for, please acknowledge this in the discussion/limitations section.

RESPONSE: We have also added the following text to the limitations section in the discussion (Page 24, line 481)

“The global COVID-19 pandemic led to an alteration in programming for cohort 1, which only received one HiH session per week while cohorts 2-5 had two sessions per week. This difference in dosage could not be fully accounted for in the analysis.”

4. Conclusion: The phrasing “had a positive impact” implies causality, which does not seem to be supported by the study’s design. Consider rephrasing this statement to reflect an association with the positive changes observed, rather than implying a causal relationship.

RESPONSE: The conclusion now reads (Page 25, line 505)

“In conclusion, this study found that the HiH music therapy program was associated with improvements in girl’s depression and anxiety, with the most notable changes observed several months after program completion. In addition, we observed increases in participants self-esteem and improved school attendance.”

Line-Specific Comments:

• Abstract: It would be helpful to report significance levels/confidence intervals for all the reported findings. Added as requested

• Page 6, Line 88: Ceccarelli et al. is not a meta-analysis but a systematic review. Please correct. Corrected as requested (page 5, line 97)

• Page 9, Line 171: “of’6 days” — correct the spelling. Corrected, page 9 line 207

• Page 9, Line 176: Consider removing the mention of the additional qualitative study at this stage. This could be integrated into the discussion if tied to future research. Deleted as requested, see tracked changes page 10, line 215.

• Page 11, Line 202: The paragraph interpreting results in the context of the study might not be appropriate for the methods section. Consider moving this to the discussion and integrating it there. We moved this paragraph to the discussion (Page 23, line 458) as suggested.

• Page 12, Line 225: Substantiate the choice of the Hopkins Symptom Checklist and the Rosenberg Self-Esteem Scale by referring specifically to their relevance to the population of interest (e.g., cultural appropriateness, local validation, etc.). Additionally, provide details on the translation and adaptation process for these measures that were carried out in this study.

RESPONSE: We have revised the Mental Health Assessment section of the Methods to address these points (Page 12, line 269) as follows:

“Mental Health Assessment. Measures included the Birleson Depression Self-Rating Scale (DSRS) for Children (Birleson et al, 1987); the Hopkins Symptom Checklist (HSCL) (Parloff at al., 1954) to assess anxiety and the Rosenberg Self-Esteem Scale (RSES) (Rosenberg, 1965). The DSRSis depression scale has been applied across diverse cultural settings including among children in Afghanistan and Nepal (Panter-Brick et al., 2009; Kohrt et al., 2011). The HSCL has been used extensively used in high-conflict, cross-cultural contexts to assess mental health symptoms. (Tay, et al., 2017) Including inNotable studies include a nationwide survey across 8 conflict-affected districts in Sri Lanka (Tay, et al., 2017) and a study among adolescents in conflict-affected regions of Eastern DRC (Mels, et al., 2010). Similarly, the RSES Self-Esteem scale is a well-established measure of self-esteem for assessment in adolescents having been used most notably it was used in a study among adolescent refugee girls in Ethiopia (Stark, et al, 2018). To ensure the cultural appropriateness of these measures, we undertook a translation and adaptation process including forward and backward translation by bilingual experts, reconciliation of discrepancies, and pilot interviews with a sample of participants to assess comprehension and cultural relevance.”

• Page 12, Line 243: Provide a source for the method used to assess SES or other justification.

RESPONSE: We have now added the following reference to the UNICEF MICS survey, the source of the list of household possessions (mentioned on Page 14, line 311):

United Nations Children’s Fund (UNICEF). (2019). Multiple Indicator Cluster Surveys: Delivering Robust Data on Children and Women across the Globe. New York: UNICEF.

• Page 13, Line 254: Were there missing data? If so, how were they handled? RESPONSE: We have added the following sentence in the statistics section of the methods (Page 15, line 334)

“ Observations with missing data were excluded from the regression models.”

• Page 21, Line 367: A new update of the cited review is available (10.1111/jcpp.13891). Please refer to this most recent work. We now cite the updated work throughout the paper – see page 5, line 94; page 4, line 82.

• Page 21, Line 380: The work by Cikuru (2021) is interesting but would fit better in the introduction to build the rationale for the study. We have moved the paragraph to the introduction (Page 6, line 133) as requested.

• Page 23, Line 417: The introduction of a concept relating to stigma reduction and social inclusion seems to come out of the blue. Provide context or remove.

RESPONSE: We have revised this sentence as follows in the concluding paragraph (Page 25, line 512)

“Additionally, exploring the societal impact of participants’ songs and community engagement—such as potential reductions in stigma or increased social inclusion—would provide valuable insights (McFerran et al., 2020).”

• Page 23, Line 420: This is a strong statement, but it lacks citations and is not directly tied to the reported results. Consider rephrasing or omitting. RESPONSE: We have changed the final sentence to read (Page 25, line 514)

“These promising findings support scaling up the intervention, with the success of such expansion dependent on recruiting sufficient numbers of qualified psychologists to deliver the program.”

Reviewer: 2

This manuscript describes the result of a pre-post evaluation of the Healing in Harmony program, a music-based therapy program, on mental health and school attendance among young adolescent girls in a conflict setting in the Democratic Republic of Congo. This manuscript is well-written, and presents findings from an important investigation, which suggests music therapy as a potentially promising method of improving mental health and school attendance among young adolescent girls. Thank you.

There are a few points of clarification that I think are important to address – listed in order below.

1. Abstract: hard to know really what the median scores for depression and anxiety mean as we don’t know the scale or the score range at this point. We removed mean scores from abstract.

2. Abstract: it would be ideal to include always the 95% CI at a minimum (and P as well) when reporting risk ratios (when stating “RR = 0.27 for depression….”.

RESPONSE: We have added CI as requested. The text now reads (Page 2, line 21):

“The probability of screening positive for anxiety declined by about half post participation in HiH compared to the pre-test, (RR=0.46, 95% CI=0.41-0.53). The probability of screening positive for depression declined by about 75% (RR=0.27, 95% CI=0.22-0.32).”

3. Abstract: the line in the conclusion “Although food and economic insecurity…” – feels like a lot to put in the abstract and might be better to just discuss in the main paper. (The rationale is that there is already a lot of information in the abstract, and this statement in the conclusion raises more questions than providing a summary because it is not central to the main results). We have removed this sentence from the abstract, see tracked changes on page 3 line 35.

4. Introduction: Para 2 (starting line 69 as the authors have assigned lined numbers) is “an emerging evidence base suggests the value of mental health interventions” – is this specifically for humanitarian settings?

RESPONSE: We have clarified that the studies cited are relevant to LMICs but not necessarily humanitarian crises. This sentence now reads (Page 4, line 80):

“While data on the effectiveness of mental health interventions in humanitarian crises is limited (Kamali et al., 2020), emerging evidence supports their value in low- and middle-income countries (Ceccarelli et al., 2024; Alozkan-Sever et al., 2023; Uppendahl et al., 2019; Bangpan et al., 2024; Purgato et al., 2018; Morina et al., 2017).”

5. Introduction Paras 2 and 3: The authors state “two meta-analyses included only studies of adults” and “Three meta-analyses included studies with children and adults” are the meta-analyses the authors cite the result of a systematic search, or are these more “sentinel” papers or recent meta-analyses?

6. Introduction Para 3 line 79-80: what sorts of interventions did the meta-analyses addressed look at? (i.e. what was the actual form/content of interventions – broadly grouped?) This would be helpful to understand and contextualize e.g. to what extent music therapy or similar techniques have been done before.

RESPONSE TO #5 and #6. We included recent meta-analyses that conducted systematic searches for existing literature. We have revised these two paragraphs to be more informative as (Page 4, line 80)

“While data on the effectiveness of mental health interventions in humanitarian crises is limited (Kamali et al., 2020), emerging evidence supports their value in low- and middle-income countries (LMICs) (Ceccarelli et al., 2024; Alozkan-Sever et al., 2023; Uppendahl et al., 2019; Bangpan et al., 2024; Purgato et al., 2018; Morina et al., 2017). Two recent meta-analyses focused on adults. One found psychotherapy reduced PTSD and depression in survivors of mass violence (Morina et al., 2017), while the other showed mental health services reduced PTSD and improved functioning in adults affected by humanitarian crises in LMICs (Bangpan et al., 2019).

Three recent meta-analyses have Included studies that enrolled children and adolescents. One meta-analysis7 studies, n=130) found PTSD improved post-treatment, but the effect was not sustained at four months (Purgato et al., 2018). In contrast, a larger meta-analysis (13 studies, n=2626) of psychological interventions in LMICs found cognitive-behavioral therapy and group-based approaches effectively reduced PTSD, depression, and anxiety (Alozkan-Sever et al., 2023; Uppendahl et al., 2020). A third meta-analysis of 43 randomized clinical trials also reported that cognitive-behavioral therapy improved depression symptoms in children and adolescents affected by humanitarian emergencies (Bangpan et al., 2024). Another review highlighted that most studies focused on program implementation rather than impact on mental health outcomes (Ceccarelli et al., 2024).”

7. In line with the above point – for the Intro/Discussion – how much previous evidence is there specifically about music-based therapy for mental health? I found this to be slightly missing.

RESPONSE: Much of the literature on music therapy programs is theoretical with limited evaluation of intervention efficacy particularly in relation to LMICs and the context of humanitarian crises. We have now added more text about music therapy programs to better contextualize our research (Page 5, line 108). Also, as suggested by the reviewers we have moved the paragraph on the prior evaluation of an HiH program into the introduction.

“Emerging evidence suggests that music therapy that is coupled with lyrical music training can be effective in reducing anxiety, depression, and PTSD (Carr et al., 2012; Carr et al., 2013; Landis-Shack et al., 2017; Erkkilä et al., 2011; Aalbers et al., 2017). As music has been shown to stimulate brain areas related to traumatic memory and sensory-emotional processing (Koelsch, 2009), research suggested that music can facilitate the accessing and processing of severe past trauma (Johnson, 1987; Bensimon et al., 2012; Carr et al., 2012) especially given the photographic versus linguistic nature of traumatic memories (Johnson, 1987; Bensimon et al., 2012). Thus the symbols and metaphors present in music and lyric writing, can help survivors verbalize and process trauma. McFerran et al. proposed that musical therapy approaches can be organized into four categories -- stabilizing, entrainment, expressive, and performative (McFerran- et al., 2020). Performative approaches recognize the societal context of trauma enabling survivor’s identities to be reconstructed and ‘brought to life’ through song and public musical performance.”

8. Introduction and Discussion – the authors cite Partap et al. 2023 and Grande et al. 2023 as suggesting that supporting mental health can lead to increased school attendance. Looking at these references, Partap et al. 2023 looked at depression or school-going status (not attendance) as exposures and risky behaviors as outcomes – but did not explicitly cross-tabulate or look at the association between depression/mental health and how this affects school going status. Additionally, Grande et al was a systematic review that looked at school-based interventions to improve mental health, but I did not see that the authors stated or reported school attendance as outcomes. I would recommend that the authors double check these references, and update with more suitable ones.

RESPONSE: Thank you for this comment. We have now clarified that these articles looked at school-based MH interventions, rather than looking at the impact of that programming on absenteeism. We have revised the paragraph on schooling in the introduction to more accurately reflect the literature as follows (PAGE 5, line 100):

“The relationship between mental health and schooling in low- and middle-income countries (LMICs) is increasingly recognized (Aston et al., 2023). Schools, which play a crucial role in providing health education and services where healthcare systems are lacking (Sawyer, 2021), are exploring how school-based interventions can enhance mental health and well-being (Partap et al., 2023; Grande et al., 2023). Despite limited research on the impact of mental health interventions on school attendance, two recent meta-analyses have highlighted the link between anxiety and absenteeism or truancy (Dalforno et al., 2022; Finning et al., 2019).”

We have also revised the text in the discussion as follows (Page 22, line 443):

“The HiH program was implemented in a school-based program. Over 85% of the participants completed the program, providing additional evidence of the role that schools can playschools' role in improving adolescents’ access to mental health interventions (Partap et al., 2023; Grande et al., 2023). Consistent with prior studies, w We found that frequent absenteeism declined among program participants, suggesting a potential added educational benefit for of providing school-based mental health services. “

9. Methods Line 141-142. I appreciate that some details about the HiH program have been previously published, and Cikuru et al, 2021 has been cited. However, Cikuru et al 2021 is a paper on the same program but in a different population as I understand. The approach in this paper is described in the supplementary in terms of general stages. I think it would b helpful to add as supplementary here and also add more details. Approximately how long did each stage last across the 12 weeks? Was there tailoring to different age groups? Was the same content delivered across all cohorts (and was it that only the frequency and overall length of intervention delivery was different for cohort 1?). These are good to understand since it appears from some of the results that depression and anxiety scores over time (pre- and post-treatment) appear to really vary by cohort, and one question is to what extent this might be a result of differences in how the intervention was delivered across cohorts.

RESPONSE: As requested we now include the supplement (Supplementary Table S1) that outlines the HiH approach and have requested permission from this journal to republish it. A copy of that request has been included in our materials. Yes the same content was provided across all cohorts with only the frequency and length having been altered for Cohort 1 due to the Covid pandemic, as we now note in the limitations paragraph in the discussion (Page 24, line 481). As the program was conducted in the context of an ongoing humanitarian crisis, it is not surprising that pre- and post- treatment results differ across cohorts. We have discussed this in the discussion (Page 23, line 458).

10. Results Table 3: For Grade and Disability, first column (overall), the numbers do not add up to 483. If there are missing data, these should be reported in this table as a separate category for each of these variables. We have added the number of missing observations to the table as requested, see below snapshot of the table:

11. Table 4: it is very interesting to see that there aren’t really any pronounced effects on depression between T0 and T1 in the first three cohorts. Is there anything that could explain this that the authors could touch upon in the Discussion? We have provided additional insights and analysis regarding this observation (Page 25, line 469) now reads:

“We observed heterogeneity across cohorts in the timing of improvement in depression scores, with cohorts 1-3 showing improvement only in the follow-up interviews while cohorts 4 and 5 showed improvement from the pre- to the post test. This heterogeneity could be due to differences in the security contexts at the time of the intervention, differences in the time it took individuals to integrate the skills learned in the intervention, or to increasing familiarity and skill of the program psychologists in delivering the intervention across time. It is also possible that administration of the depression scale differed across the two data collection teams, although as discussed above extensive efforts were made to ensure comparability of testing by the Informed team.”

12. Also – for Figure 1, it may be nice to see actually boxplots that, similar to table 4, split up the cohort-specific distributions by time point as well – just to see how these line up with the proportions in Table 4. We have provided these boxplots in Supplementary Figure S2.

13. Results line 315, figure 2 and generally throughout – may be good to be consistent with the terms and use either pre-test/post-test OR pre-treatment post-treatment. Thank you. We now use pre-test and post-test consistently throughout the manuscript.

14. Discussion line 359: for the cited meta-analysis, what sorts of interventions did this look at? It would be helpful to know how these compare to the very distinctive music therapy that is reported on in this paper Clarified that it these interventions were CBT and group-based approaches (Page 22, line 436).

15. Discussion lines 388-392 – the paragraph is duplicated (appears also in lines 374-378). We apologize. The duplicate paragraph has been deleted.

16. Discussion and limitations:

a. maybe good to make very clear in the methods itself that ultimately, only school-going children were recruited for this.

RESPONSE: We now clarify in the second paragraph of Methods, Data Collection (Page 9, line 202) as follows:

“Subsequently, a second team, Informed International (hereafter referred to as Informed), was hired by World Vision to carry out an independent evaluation of the HiH component of the World Vision’s EGALEGAL project, which, as noted above, focused on enhancing girl’s agency. Thus this component of the data collection focused on girls aged 10-14.”

See also our response to Reviewer 1, point number 1.

b. Other limitations maybe important to include – I understand the depression tool has been previously validated in similar populations, but what about the anxiety tool and others? We have added additional information in the mental health assessment section of the methods as follows (Page 12, line 269):

“Mental Health Assessment. Measures included the Birleson Depression Self-Rating Scale (DSRS) for Children (Birleson et al, 1987); the Hopkins Symptom Checklist (HSCL) (Parloff at al., 1954) to assess anxiety and the Rosenberg Self-Esteem Scale (Rosenberg, 1965). This depression scale has been applied across diverse cultural settings including among children in Afghanistan and Nepal (Panter-Brick et al., 2009; Kohrt et al., 2011). The HSCL has been used extensively in high-conflict, cross-cultural contexts to assess mental health symptoms(Tay, et al., 2017) Including in a study among adolescents in conflict-affected regions of Eastern DRC (Mels, et al., 2010). Similarly, the Self-Esteem scale is a well-established measure for assessment in adolescents having been used most notably i in a study among adolescent refugee girls in Ethiopia (Stark, et al, 2018). To ensure the cultural appropriateness of these measures, we undertook a translation and adaptation process including forward and backward translation by bilingual experts, reconciliation of discrepancies, and pilot interviews with a sample of participants to assess comprehension and cultural relevance.”

17. It would be good if the authors could discuss any other notes about interventions that would be effective in this setting. As the authors themselves state, food insecurity appears to be an important contributor to depression and anxiety in this setting. To what extent then could the current intervention help reduce the burden of such disorders? Or, what do the authors think about integrating approaches to more effectively address mental health in these settings?

Thank you for this suggestion. We have added the following text to the paragraph on food insecurity in the discussion (Page 23, line 462):

“Qualitative interviews carried out in December 2022 suggested higher prices, up to 10 USD per kilo, and participants identified food insecurity as impacting their mental conditions and increasing tension within and between families. This highlights the importance of food security for mental health and suggests the importance of integrating programs and coordinating across agencies and non-governmental organizations to more effectively address mental health in the context of on-going humanitarian crises.”

18. Any discussion on feasibility of implementation and scale-up? Response: We have added the following sentence to the end of the conclusion. (Page 25, line 514):

“These promising findings support scaling up the intervention, with the success of such expansion dependent on recruiting sufficient numbers of qualified psychologists to deliver the program.”

19. I may have missed this in the methods, but why focus on evaluating just girls in this context – particularly if the participants included others too? (If the authors are planning to do separate analyses, perhaps this could be highlighted). Any thoughts or discussion on whether additional populations should be targeted in future assessments?

RESPONSE: We added the following paragraph in Study Participants sub-section of the methodology (page 10, line 218):

“This research focused on girls because this study was funded as part of the World Vision’s EGAL project. EGAL aimed to develop effective strategies to help girls in the DRC cope with trauma from gender-based violence and reduce anxiety, depression, and PTSD and to improve school attendance. Evaluation was limited to the 10–14-year age group as funding was limited and only this age group was well-represented across all five rounds of the HiH program implementation.”

Review: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R1/PR7

Conflict of interest statement

NA

Comments

Dear Authors,

the changes you have made have strengthened the overall quality of the manuscript. I have no further comments at this time.

Recommendation: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R1/PR8

Comments

No accompanying comment.

Decision: Impact of a music therapy program on mental health and school attendance among female adolescents in Kasai-Central province, Democratic Republic of Congo — R1/PR9

Comments

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