Introduction
Community engagement is increasingly recognized as an integral element of ethical global health research [Reference Adhikari, Pell and Cheah1]. Engaging community members in health research occurs on a spectrum, and their involvement as early as possible to set priorities for research and co-design relevant research is critical [Reference Adhikari, Pell and Cheah1,Reference Vincent, Adhikari and Duddy2]. However, involvement of community members is often deferred until the start of the recruitment processes, in line with the instrumental utility of undertaking community engagement to commence the study and ensure patient participation [Reference Weston, Adhkari, Thriemer and Srinivas3,Reference Reynolds and Sariola4]. Continued community engagement after the completion of research studies, particularly dissemination of aggregated non-individualized study results to research participants, is an ethical obligation [Reference Weston, Adhkari, Thriemer and Srinivas3,5] and regulatory requirement [Reference Petrini6,Reference Register7]. Some research funding bodies now recognize the importance of these activities and require integration of result dissemination activities into research proposals [Reference McElfish, Purvis, Stewart, James, Yeary and Long8].
Disseminating trial findings can improve health literacy and decision-making among participants, improve general understanding of research, and encourage participation in future research [Reference Mayo-Gamble, Cunningham-Erves, Kas-Osoka, Johnson, Frazier and Joosten9,Reference McElfish, Purvis, Scott, Haggard-Duff, Riklon and Long10]. Furthermore, increased transparency and trust in medical research can lead to better satisfaction among participants [Reference Cunningham-Erves, Stewart and Duke11–Reference Partridge, Wolff and Marcom13]. While most researchers acknowledge the need to share aggregated study results with the patients and their communities, this is not practiced consistently [Reference Long, Purvis and Flood-Grady14,Reference McElfish, Long and James15].
A survey among malaria researchers showed that although more than 80% appreciated the importance of sharing results with the trial participants, only 25% accomplished this in their most recent trials [Reference Weston, Adhkari, Thriemer and Srinivas3]. Key barriers to result dissemination in those settings include difficulty locating and reaching research participants after the end of the trial [Reference Mfutso-Bengo, Ndebele and Masiye16–Reference Williams, Ferrigno, Maraini, Rosmini and Sperduto18], low literacy levels among study participants [Reference Weston, Adhkari, Thriemer and Srinivas3,Reference Ochieng, Kwagala, Barugahare, Mwaka, Ekusai-Sebatta, Ali and Sewankambo19], limited advanced planning [Reference Weston, Adhkari, Thriemer and Srinivas3,Reference Long, Purvis and Flood-Grady14,Reference McElfish, Long and James15], logistical issues such as limited access to and availability of internet and phone, a lack of electricity and poor road conditions in resource-constrained settings, financial constraints [Reference Long, Purvis and Flood-Grady14,Reference McElfish, Long and James15], a lack of institutional guidance on how to conduct dissemination activities [Reference Weston, Adhkari, Thriemer and Srinivas3,Reference Ochieng, Kwagala, Barugahare, Mwaka, Ekusai-Sebatta, Ali and Sewankambo19,Reference Schroter, Price, Malicki, Richards and Clarke20] and ethical concerns, including concerns around confidentiality within small communities [Reference Turcotte-Tremblay and Mc Sween-Cadieux21], and fear of misinterpretations and inflicting harm [Reference Long, Purvis and Flood-Grady14,Reference McElfish, Long and James15].
There is a paucity of data to guide best practice for the dissemination of research findings in different study populations and settings. More commonly reported types of results sharing include written communication in letters or lay summaries [Reference Purvis, Abraham, Long, Stewart, Warmack and McElfish22,Reference Aldinger, Ligibel, Shin, Denninger and Bierer23], emails [Reference Aldinger, Ligibel, Shin, Denninger and Bierer23], and information placed on websites [Reference Meulenkamp, Gevers, Bovenberg, Koppelman, van Hylckama Vlieg and Smets24] or group presentations in the form of community meetings or workshops [Reference Mayo-Gamble, Cunningham-Erves, Kas-Osoka, Johnson, Frazier and Joosten9,Reference Degaga, Weston and Tego25,Reference Ondenge, McLellan-Lemal, Awuonda, Angira, Mills and Thomas26]. The limited literature from low- and middle-income countries comes primarily from the African continent and focuses on experiences with community meetings as the main method for result-sharing [Reference Mfutso-Bengo, Ndebele and Masiye16,Reference Degaga, Weston and Tego25]. Most of the literature guiding the selection of methods as well as patient preferences is from high-income countries, and these methods are less likely to be relevant to participants from communities with structural barriers such as low health literacy, vulnerability, poverty, competing priorities, and access and interest to engage in learning about study findings.
Our multi-centered antimalarial trial in Cambodia, Ethiopia, Pakistan, and Indonesia was designed to compare the effectiveness, safety, cost-effectiveness, and feasibility of novel treatment options for patients with Plasmodium vivax malaria. As part of the trial, we conducted a nested study to assess trial participants’ preference for result dissemination after study completion to inform result-sharing strategies.
Methods
Study Overview
The study was conducted in two stages. In the first stage (the “survey”), data were collected on patients’ preferences for dissemination. Following the analysis of these data, the second stage involved reviewing the findings of the survey and developing suitable dissemination strategies through an iterative process among the study team.
Study Context and Sites
Data for the survey were collected in the context of a multi-center clinical trial to assess the safety and effectiveness of novel approaches to the treatment P. vivax with tafenoquine and primaquine (NCT04411836). In brief, adult patients presenting with uncomplicated P. vivax malaria meeting the eligibility criteria were randomized into one of three treatment arms. After a standardized informed consent process, each patient was treated with a blood-stage treatment plus either low-dose primaquine (total dose 3.5mg/kg) unsupervised over 14 days, high-dose primaquine (total dose 7 mg/kg) unsupervised over 7 days, or a single dose of tafenoquine (300 mg). Patients were then followed weekly until day 42 and then monthly for 6 months. Patients’ recruitment occurred at seven study sites in four countries: Cambodia, Ethiopia, Pakistan, and Indonesia (Fig. 1). Training on data collection and study conduct was standardized across study sites. Background details on the study countries, malaria burden, their socio-economic structure, and literacy are summarized in Table 1.

Figure 1. Map showing research sites in Cambodia, Ethiopia, Pakistan, and Indonesia. Generates using QGIS 3.32.3-Lima software and finalized in Canva Pro. Country Shapefiles were obtained from the Humanitarian Data Exchange (https://data.humdata.org/dataset/cod-ab-pak?, https://data.humdata.org/dataset/cod-ab-khm, https://data.humdata.org/dataset/cod-ab-eth, https://data.humdata.org/dataset/cod-ab-idn) and are licensed under a Creative Commons Attribution 4.0 (CC-BY 4.0) International licence. The world map shape file was obtained from Opendatasoft (https://public.opendatasoft.com/explore/dataset/world-administrative-boundaries/export/), and license under an Open Government Llicense v3.0.
Cambodia
In Cambodia, patients were recruited at three sites: Phnom Kravanh Referral Hospital and Siem Pang and Chambak health centers. Phnom Kravanh referral hospital has a catchment population of more than 50,000 and is located in Pursat province, in western Cambodia, with the population concentrated around the Pursat River, and the western parts of the Cardamom mountains. Most communities in this area live in the forest fringe or nearby forested mountains. Although communities have access to health centers and larger health facilities, the distances between communities and these health centers can be far. Siem Pang Health Center has a catchment population of 25,000 and is located within Stung Treng province in north-eastern Cambodia, along the Tonle Kong River, surrounded by forest reserves, and national parks with abundant forest fringes. A high proportion of ethnic minorities live in Siem Pang, with difficult access to health centers, hampered by road conditions, terrain, and long distances. Chambak Health Center has a catchment population of 4,000 and is located within Phnom Sruoch, a district located within Kampong Speu province in central Cambodia. The district covers the largest part of the Kirirom National Park located in the eastern part of the Cardamom mountains. Most settlements are thus close to the forest or forest fringe. Although Chambak health center is relatively accessible, access to larger health facilities, especially among populations living in far flung communities near the forest is limited. The majority of the study team at the Cambodia sites was from within the communities where patients were recruited. In addition, international staff was present at the study sites.
Ethiopia
The study site in Ethiopia was located at the research facility at the Arba Minch General Hospital, Arba Minch town, in the Gamo Zone of the South Ethiopia Region. Arba Minch district is located 505 km south of Ethiopia’s capital, Addis Ababa, with a population of 320,000. The urban center has a general hospital, a primary hospital, and two health centers. In addition, there are a range of private facilities, at which approximately 20% of malaria patients seek care [27]. The study hospital receives patients from two health facilities located in Arba Minch town, Woze Health Center, and Dil Fana Primary Hospital. For urban patients, all health facilities are within walking distance or accessible by taxi or private car. The entire study team at the Ethiopian site was from within the communities where patients are recruited from.
Pakistan
In Pakistan, the study recruited patients at two sites: an urban site in Karachi and a more rural setting in Thatta. The Karachi site is at Khidmat-e-Alam Medical center, Nazimabad, which is located in the densely populated central district of Karachi with an estimated population of nearly 3 million. This small health care facility serves a densely populated urban area, where residents face challenges accessing health services due to overburdened facilities. The site in Thatta was at the Thatta Civil Hospital, in Sindh province with an estimated catchment population of 979,817. This rural area is characterized by scattered housing and agricultural lands, with limited access to and longer travel distances for medical care. Some members of the study team at the Pakistan site were from within the communities where patients are recruited from, other team members commuted daily to the study site from Karachi.
Indonesia
The Indonesian study site was located at the primary health care center in Batubara in Batubara Regency in North Sumatera province. Batubara Regency is located at the eastern shoreline of North Sumatera, with Limapuluh as its administrative seat. It covers an area of 887 km [Reference Vincent, Adhikari and Duddy2] with a population of 430,533. The health center serves a catchment population of nearly 34,000 people and is the primary public health facility. Approximately 45% of the population seek treatment at private facilities (personal communication head of district health office Batubara). The study team was external to the communities where patients were recruited from and worked there for the duration of the study.
Data Collection
At the scheduled follow-up visit three months after treatment, a short survey questionnaire was used to assess patients’ preferences for study result dissemination. The questionnaire was designed based on earlier work exploring current practice of result dissemination among malaria researchers [Reference Weston, Adhkari, Thriemer and Srinivas3] and discussion among the site investigators. Patients were asked four close-ended questions by the study nurses on the following topics: i) interest in knowing the results of the trial in which they were participating (primary outcome), and if so ii) their motivation for this, iii) their preference for methods used for sharing results and iv) suitable content for the dissemination (multiple options could be selected). Following translation and pre-testing of the questionnaire among the investigators and their teams, minor adjustments were made, mostly to reduce ambiguity (Text S1). Demographic characteristics from study participants were collected as part of the data collection for the trial at enrollment into the study.
Data Analysis
Basic descriptive statistics were used for each question, and analysis was conducted overall and per country. A multiple linear regression analysis was used to identify predictors for the primary outcome. All statistical analyses were performed using Stata version v17.0 (StataCorp, US).
Development of Dissemination Strategies
Strategies for result dissemination were developed for each study location separately based on the results on patient preferences through an iterative process between the respective site team and the trial coordinating team. This iterative process included a virtual presentation of the country-specific findings to the site study team, followed by a discussion on how results could be translated into a strategy considering the feasibility of the preferences. Based on suggestions and agreements in the virtual meeting, a written summary strategy was drafted and shared with study teams for feedback and further discussion via email. Where necessary additional virtual meetings were conducted until agreement was reached among all team members.
Ethics
The study was approved by the Human Research Ethics Committee of Northern Territory Health and Menzies School of Health Research (#20-3694) and country-specific institutional, national, and regulatory authorities (Table S1). All patients provided informed consent.
Results
Study Population
A total of 960 adult patients were enrolled in the clinical trial, 220 in Cambodia, 350 in Ethiopia, 240 in Pakistan, and 150 in Indonesia. Data on dissemination preferences was obtained from 806 (84.0%) of the trial participants, of whom 174 (79.1%) were recruited in Cambodia, 334 (95.4%) in Ethiopia, 214 (89.2%) in Pakistan, and 84 (56.0%) in Indonesia. Non-participation in the survey only occurred when the scheduled follow-up visit at month three post treatment was missed. The demographic characteristics of patients who participated in the survey were similar to those for whom no data was collected (Table 2, Table S2).
Table 2. Demographic characteristics of study participants by study country

* The study site in Indonesia allowed recruitment of patients≥16years, while the other study sites only recruited patients≥18years.
Interest in Learning About Study Results
Overall, 74.6% (601/806) of participants indicated they were interested in learning about the study result. This was different by study country with 33.3% (58/174) of participants in Cambodia being interested in receiving aggregated study results, compared to 100% (334/334) in Ethiopia, 97.7% (209/214) in Pakistan, and 0% (0/85) in Indonesia (p < 0.005). A total of 82.3% (210/255) female patients compared to 71.1% (391/551) male patients indicated interest in learning about study results (p = 0.001). Interest across age groups was distributed as follows: 100% (15/15) among the 16–18-year-olds, 79.8% (400/501) among those 18 to 30 years, 68.6% (192/280) among patients 30 to 60 years and 90% (9/10) among those over 60 years old (p < 0.001).
In the multivariable analysis, the differences between sites remained significant (p < 0.001) after controlling for age and sex.
Motivation for Hearing About Study Results
In total 45.6% (274) of the 601 patients who expressed an interest in hearing about the study results indicated that the main reason was to understand the benefit of the study to the community. A further 16.3% (98) patients indicated they were interested to understand the study in an accessible and easy way, and 38.1 % (229) patients indicated that it represented an acknowledgment of their contribution to the study. Motivation for wanting to hear results differed by country, with 76.6% (160/209) of patients in Pakistan indicating acknowledgment of their contribution as the most important reason, while understanding the benefit of the study to the community was selected by 71.9% (240/334) patients in Ethiopia (Table 3).
Table 3. Reason for dissemination by study country

Preference for Dissemination Methods
Participant preference for methods by which study results are communicated varied by country. A large majority of patients in Pakistan (99.0%; 207/209) felt that it was important to have summaries in their own language, while this was only reported by 38.3% (128/334) in Ethiopia. Cambodian patients preferred receiving a letter (27.6%; 16/58) or a phone call from someone explaining the study results (37.9%; 22/58), while Ethiopian patients overwhelmingly preferred a community meeting at the clinic or health center (79.0%; 264/334). In Pakistan, a high preference was indicated for having the results published on a website (60.8%; 127/209), a personal phone call to explain results (76.1%: 159/209), or a community meeting (92.3%; 139/209) (Table 4).
Table 4. Preference for dissemination methods by study country

In Cambodia and Ethiopia, most patients selected three or less options for methods of dissemination (57/58, 98.3% and 329/334, 98.5%), whereas in Pakistan 66.0% (138/209) selected more than 3 options (Fig. S1–3).
Preference for Dissemination Content
Almost all patients in Pakistan (94.3%, 197/209) and Ethiopia (93.7%; 313/334) felt that it was important to include information about the purpose of the study in the dissemination summary. Whereas patients in Pakistan felt that it was important to include information about medical treatment (84.7%; 117/209) and scientific advances (75.6%; 158/209) based on the study’s results. Patients in Ethiopia were interested to hear about how the study was conducted (39.5%, 132/334) and the potential implications of the results to change treatment policy (30.2%; 101/334). Cambodian patients had limited interest to hear about general scientific advances (1.7%; 1/58), potential policy change (0%; 0/58), or new research based on the results (0%; 0/58). Overall patients felt it was more important to include positive findings (72.1%; 333/601) compared to negative (11.0%; 66/601) or neutral results (7.3%; 44/601) (Table 5).
Table 5. Preference for content of dissemination by study country

Dissemination Strategies
Separate dissemination strategies for Cambodia, Ethiopia, and Pakistan were developed based on the survey results to inform the target audience, the method of delivery, and the content. No strategy was developed for the Indonesian site, given the lack of local interest. Although 23.2% (126/601) of participants indicated that they wanted to hear about individual results, this was not within the scope of our dissemination efforts. Draft strategies are summarized in Table 6.
Table 6. Draft dissemination strategies

Discussion
Our study highlights marked heterogeneity between study countries in the interest of hearing about the results of the clinical trial that they had been enrolled in, preferred methods of dissemination, and the content to be included in dissemination activities. None of the Indonesian patients expressed an interest in hearing about the study results, while all of the Ethiopian patients indicated interest. In Ethiopia, the preferred method for dissemination was a community meeting, whereas in Cambodia patients preferred more individualized communication. In Pakistan, patients had strong preference for community meetings, individual communication as well as web-specific distribution. While most patients wanted to hear about study results in their own language and wanted to be reminded about the purpose of the study, there were large differences in the degree of interest in the impact on medical or scientific advances and the implications for policy.
Our study underscores the importance of contextualizing dissemination strategies according to social, cultural, and research literacy-related characteristics of the population rather than adopting a one-size-fits-all approach. The results also indicate the potential added benefit to conduct formative research alongside clinical trials so that community preferences can be explored, and community engagement strategies tailored to local populations [Reference Strachan, Kana and Martin28,Reference Adhikari, Pell and Phommasone29]. Previous studies have demonstrated that formative research is deemed to be critical for optimal design and implementation of interventions and programs [Reference Gittelsohn, Steckler and Johnson30–Reference Vastine, Gittelsohn, Ethelbah, Anliker and Caballero33]. However, in practice, these processes are constrained by the available resources and how they can be used, which in turn affects the degree of involvement of research participants [Reference Vincent, Adhikari and Duddy2]. Community engagement usually occurs on a wide spectrum of activities from simply asking about preferences to incorporating community opinions at study inception through co-design [Reference Arnstein34–Reference Ean, Tripura and Sothea36]. While our survey focused primarily on exploring participants’ preferences for post-trial engagement, these engagement activities (exploring participants’ preferences) even if they are subtle, can demonstrate respect, and forge providence for future research, sustaining trust and relationships [Reference Ean, Tripura and Sothea36–Reference Chen, Diaz, Lucas and Rosenthal38].
The ethical obligation to disseminate research findings to participants can conflict with respecting the agency and autonomy of patients, particularly if they prefer not to be informed about the trial results [Reference Dickert39]. None of the Indonesian study participants indicated interest in hearing about the trial results and therefore no dissemination strategy was developed for this study population. While further qualitative research is required to fully understand motivations and drivers, a potential explanation for this finding based on internal team discussions might be the fact that the study team was external to their community which may have fostered a sense of difference: “us” versus “them” thus deterring community members from further engagement on results dissemination. Other generic barriers potentially include socio-economic constraints that restrict participants’ time, and opportunity costs incurred whilst engaging in results-dissemination efforts. These factors may also have contributed to the relatively large number of participants who were lost to follow up at the Indonesian site. However, it remains unclear how much of a role this played compared to other sites where patients are coming from similarly low socio-economic backgrounds.
Preferences of engagement activities can vary widely based on cultural, educational, and infrastructural factors [Reference Mayo-Gamble, Cunningham-Erves, Kas-Osoka, Johnson, Frazier and Joosten9,Reference Ochieng, Kwagala, Barugahare, Mwaka, Ekusai-Sebatta, Ali and Sewankambo19,Reference Adhikari, Pell and Phommasone29,Reference Adhikari, James and Newby40]. For example, the strong preference for community meetings in Ethiopia and Pakistan is consistent with studies indicating that face-to-face communication is often more effective in low-resource settings where digital literacy and internet access may be limited [Reference Jamil41,Reference Channel42]. The results are in line with previous practice at the study site in Ethiopia [25], potentially indicating that participants selected choices they are more familiar with. While there was a clear preference for community meetings in Ethiopia, in Pakistan a preference for individual communication was also stated, which aligned more with Cambodian patients. The preference for personalized communication in Cambodia likely reflects participants’ desire not to be engaged frequently, owing to their involvement in agricultural work coupled with barriers to reaching the health center [43,44]. Sometimes, community members may feel participation in research and engagement itself as a burden [Reference Adhikari, Pell and Cheah1]. Cambodian participants have been reported to exhibit social tendencies of conformism, quietness, and hierarchical etiquette with researchers and a reluctance to “losing face” [Reference Explorer45]. In response to these social and cultural characteristics and to bridge the differences between researchers and community members, in Siem Pang, a youth advisory group on health and research engagement was recently established [Reference Ean, Tripura and Sothea36,Reference Milnor, Santana, Martos, Pilotto and Souza37].
Patients at the Pakistani study sites were the only ones indicating a high preference for digital communication, including a webpage or digital messaging services. This preference was evident in both urban and rural settings. Given that the large majority of patients were recruited in the rural site, no meaningful comparison between sites was possible (data not shown). Given the relatively low literacy rate in Pakistan coupled with digital inequality [Reference Jamil41] these results are surprising, requiring further exploration. Digital communication allows reviewing information at convenient times for the individual and reducing additional opportunity costs for travel and in-person meetings, which might be relevant in this patient cohort.
Our findings also revealed heterogeneity in preferences about the content of the dissemination. While there was a high interest to learn more about implications for the community in Ethiopia in line with the preference for community-based delivery methods, there was a lack of interest in policy implication in Cambodia, which might be explained as a function of a research-saturated setting.
The initial design of our dissemination strategies was based on patient preferences; however, adaptations were needed to accommodate the realities of what investigator teams considered logistically and financially feasible. For example, individual phone calls to each participant were considered impractical by the study team in Pakistan. This highlights that patient preferences do not necessarily align with what investigators perceive as being feasible.
A substantial number of patients indicated they were interested in learning about individual test results arising from the trial. Although some participants may conflate the difference between sharing of aggregated and individual results, the impact for participants is likely to be similar [46]. There are however a number of considerations that are distinctly different between sharing aggregated study results versus individual test results including concerns around confidentiality, interpretation of results, and implications for further care [47]. Most of the research on returning individual test results to study participants comes from genomic research where interpretation of results remains challenging [48]. However, studies indicate that some participants prefer to receive individual results even if they have no clinical significance [49]. Our preliminary qualitative research conducted in Cambodia (unpublished data) suggests that communication on individual results during the follow up is important to patients and could affect perceptions on dissemination of overall study results and engagement in future trials.
Our study has several limitations. Firstly, the questionnaire was developed based on previous work assessing current practice of result dissemination among malaria researchers [3], but was not co-designed through formative qualitative work with patients. Therefore, the selection of choices both for methods as well as content of dissemination may not have included the entire breadth of possibilities relevant to participants. However, none of the participants used the “other” option that was designed to capture additional concepts. Second, no data on socio-economic, ethnic, or educational background was collected. This would have allowed for a more granular analysis of our findings for different populations. Third, in line with the limitations of quantitative surveys, the data does not provide explanations as to the reasons behind the preferences and more qualitative research would be needed to explore this in depth. Fourth, although training was standardized across study sites, we cannot exclude that answers to questions were not influenced by social desirability bias, or by the way study teams asked questions differently depending on their preconceived ideas. This includes potential differences in the extent of information that was provided as part of the consenting process. Fifth, patients recruited into the trial and surveyed do not necessarily reflect the overall population, and thus their preferences may not be generalizable for the larger population, this includes potential differences by gender. The majority of participants in the trial were male and this bias towards male patients was particularly strong in the Cambodian site. This reflects the epidemiology across the Greater Mekong subregion where malaria is predominantly a disease of young males with increased occupational risks (e.g. forest goers) to get infected [50]. Lastly, at the time of writing the results of the trial were not yet available, therefore, the developed dissemination strategies include only high-level guidance on content. In addition, no evaluation of the impact and feasibility of the different strategies has been conducted.
In conclusion, our study highlights the critical need for tailored dissemination strategies in global health research. The varying preferences observed across different countries underscore that a one-size-fits-all approach is inadequate. Researchers must consider patient preferences and context when planning dissemination activities.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/cts.2025.56.
Acknowledgments
We would like to thank all patients and their communities.
Author contributions
KT and HU conceptualized the study, KT and RNP acquired funding, SAB, FJ, NH, TTT, WA, Y, HM, and BA collected data, SAB, FJ, BA, and KT conducted data analysis, TSD, NG, MAB, RT, APP, HM, GL, LS, LvS, HU, BA, and KT supervised the study conduct, SAB, FJ, and KT developed the first draft, MBV, NH, HU, BA, and RNP contributed to the writing, all authors reviewed and approved the final manuscript.
Funding statement
This study was supported by a grant from the National Health and Medical Research Council (KT, grant number 1182950) and from the Bill and Melinda Gates Foundation (RNP, INV-024389). KT is a CSL Centenary Fellow, and RNP is supported by an NHMRC Investigator Grant (2008501). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests
The authors declare none.