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Risk of admission to hospital for self-harm after admission to hospital for COVID-19: French nationwide longitudinal study

Published online by Cambridge University Press:  05 December 2024

Philippe Pirard*
Affiliation:
Non Communicable Diseases and Trauma Division, Santé publique France, Paris, France
Valentina Decio
Affiliation:
Non Communicable Diseases and Trauma Division, Santé publique France, Paris, France
Baptiste Pignon
Affiliation:
Département Médico Universitaire (DMU) – Innovation en santé Mentale, Psychiatrie et AddiCTologie, Hôpitaux Universitaires « H. Mondor », Assistance Publique hôpitaux de Paris (AP-HP), Université Paris-Est-Créteil (UPEC), Mondor Biomedical Research Institute (IMRB - Inserm), Translational Neuropsychiatry, Fondation FondaMental, Créteil, France
Olivier Bouaziz
Affiliation:
Université Paris Cité, CNRS, MAP5, Paris, France
Vittorio Perduca
Affiliation:
Université Paris Cité, CNRS, MAP5, Paris, France
Viviane Kovess-Masfety
Affiliation:
Non Communicable Diseases and Trauma Division, Santé publique France, Paris, France; and Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, Paris, France
Emmanuelle Corruble
Affiliation:
CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Université Paris-Saclay, Paris, France; and Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, AP–HP, Hôpital de Bicêtre, Paris, France
Francis Chin
Affiliation:
Data Science Division, Santé publique France, Paris, France
Pierre A. Geoffroy
Affiliation:
Département de Psychiatrie et d'Addictologie, AP-HP, Centre ChronoS, Groupe Hospitalier Universitaire (GHU) Paris Nord, DMU Neurosciences, Hospital Bichat - Claude Bernard, Paris, France; (GHU) Paris - Psychiatry & Neurosciences, Paris, France; and Université de Paris, NeuroDiderot, INSERM, FHU I2-D2, Paris, France
Yann Le Strat
Affiliation:
Data Science Division, Santé publique France, Paris, France
Jonathan Messika
Affiliation:
Service de Pneumologie B et Transplantation Pulmonaire, Hôpital Bichat-Claude Bernard, AP-HP, Nord-Université Paris Cité, Paris, France; and Physiopathology and Epidemiology of Respiratory Diseases, UMR1152 INSERM and Université de Paris, Paris, France
Nolwenn Regnault
Affiliation:
Non Communicable Diseases and Trauma Division, Santé publique France, Paris, France
Sarah Tebeka
Affiliation:
Non Communicable Diseases and Trauma Division, Santé publique France, Paris, France; Department of Psychiatry, AP-HP, Louis Mourier Hospital, Paris, France; and INSERM Team 1 – UMR1266, Institute of Psychiatry and Neurosciences, Université de Paris, Paris, France
*
Correspondence: Philippe Pirard. Email: [email protected]
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Abstract

Background

Assessing the risk of subsequent self-harm after hospitalisation for COVID-19 is critical for mental health care planning during and after the pandemic.

Aims

This study aims to compare the risk of admission to hospital for self-harm within 12 months following a COVID-19 hospitalisation during the first half of 2020, with the risk following hospitalisations for other reasons.

Method

Using the French administrative healthcare database, logistic regression models were employed to analyse data from patients admitted to hospitals in metropolitan France between January and June 2020. The analysis included adjustments for sociodemographic factors, psychiatric history and the level of care received during the initial hospital stay.

Results

Of the 96 313 patients hospitalised for COVID-19, 336 (0.35%) were subsequently admitted for self-harm within 12 months, compared to 20 135 (0.72%) of 2 797 775 patients admitted for other reasons. This difference remained significant after adjusting for sociodemographic factors (adjusted odds ratio (aOR) = 0.66, 95% CI: 0.59–0.73), psychiatric disorder history (aOR = 0.65, 95% CI: 0.58–0.73) and the level of care received during the initial hospital stay (aOR = 0.70, 95% CI: 0.63–0.78). History of psychiatric disorders and intensive care were strongly correlated with increased risk, while older age was inversely associated with self-harm admissions.

Conclusions

Hospitalisation for COVID-19 during the early pandemic was linked to a lower risk of subsequent self-harm than hospitalisation for other reasons. Clinicians should consider psychiatric history and intensive care factors in evaluating the risk of future suicide.

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Royal College of Psychiatrists

A need for knowledge about the links between COVID-19 and suicide risk

The burden of the numerous admissions to hospital for COVID-19 on suicide risk is a public health issue that still deserves investigations.Reference Hawton, Casey, Bale, Brand, Ness and Waters1 Studies conducted during the COVID-19 pandemic report the negative impact of the crisis on the mental health of general populations,Reference Xiong, Lipsitz, Nasri, Lui, Gill and Phan2 suggesting that this risk of suicide or of self-harm was substantial. This impact would appear to be stronger in persons infected by COVID-19.Reference Vindegaard and Benros3 In addition, admissions to an intensive care unit (ICU) for severe COVID-19 infection have a particularly strong impact on mental health and psychiatric disorders.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4,Reference Rogers, Chesney, Oliver, Pollak, McGuire and Fusar-Poli5 People with psychiatric disorders classically present a higher risk of suicide and self-harm.Reference Hawton and van Heeringen6 Moreover, the unprecedented COVID-19 pandemic and its associated political and impacts may have affected suicidality in many ways. Examples include social distancing and lockdowns, which contributed to a feeling of isolation and loneliness,Reference Efstathiou, Stefanou, Siafakas, Makris, Tsivgoulis and Zoumpourlis7,Reference Mannix, Lee and Fleegler8 and the crisis that led to unemployment and loss of income in many sectors.Reference Mannix, Lee and Fleegler8,Reference Moutier9 This might particularly concern people affected by COVID-19, which can contribute to suicidal ideation by increasing hopelessness and social isolation, or through the psychiatric effects of the illness.Reference DeVylder, Zhou and Oh10 Some authors have raised concerns over a possible suicide epidemic and a potential ‘suicide and COVID-19 double pandemic’.Reference Mannix, Lee and Fleegler8 As far as we know, no study conducted to date on medical consultations or admissions to hospital for self-harm in relation to the COVID-19 crisis has clearly confirmed this double epidemic.Reference Steeg, Bojanić, Tilston, Williams, Jenkins and Carr11 Studies of primary care records, emergency department visits and admissions to hospital for self-harm or attempted suicide showed lower rates of self-harm or suicide attempts after each country's first lockdown periodReference Jollant, Roussot, Corruble, Chauvet-Gelinier, Falissard and Mikaeloff12,Reference Pignon, Gourevitch, Tebeka, Dubertret, Cardot and Dauriac-Le Masson13 or did not find any significant differences.Reference Rømer, Christensen, Blomberg, Folke, Christensen and Benros14 French data even show lower death rates in 2020 than in previous years, including deaths by suicide, particularly during lockdowns.Reference Fouillet, Martin, Pontais, Caserio-Schönemann and Rey15

Does COVID-19 particularly affect the risk of suicide attempts after hospitalisation?

Most of the published data on suicidality concern the entire population affected by the pandemic. Specific data on people who were admitted to hospital for COVID-19 infection are much rarer. It has been established that the probability of self-harm increases after admission to hospital irrespective of the reason.Reference Fernando, Qureshi, Sood, Pugliese, Talarico and Myran16 It has also been suggested that persons with a history of COVID-19 are more likely to present suicide ideation than others.Reference Woodward, Bari, Vike, Lalvani, Stetsiv and Kim17 In a retrospective web survey of a large sample of US students conducted between September and December 2020, DeVylder et alReference DeVylder, Zhou and Oh10 showed a higher prevalence of self-harm in the past year among those who had been admitted to hospital for COVID-19, compared with those who were not infected by COVID-19. Thus, in this unique context of a major health crisis, the available data are insufficient to have a better understanding of the impact of admission to hospital for COVID 19 on the risk of subsequent self-harm. Given these elements, the question arises whether admission to hospital owing to COVID-19 specifically affects the subsequent risk of admission to hospital for self-harm, compared to admission to hospital for other reasons.

A recent study found that among the 2 894 088 adults admitted to hospital during the first half of 2020, in France, the proportion of patients subsequently admitted to hospital for a psychiatric disorder within 12 months of discharge was significantly higher for those initially admitted to hospital for COVID-19 (11.09% v. 9.24% for other reasons, odds ratio = 1.20, 95% CI: 1.18–1.23, P < 0.001).Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4 Using the same data-set, this study aimed to compare the frequency of admission to hospital for self-harm within 12 months following discharge after admission to hospital owing to COVID-19 versus admission to hospital for other reasons in the French adult population during the first half of 2020.

Method

Data sources

We employed data from the French administrative healthcare database – Système National des Données de Santé (SNDS [National Health Data System]) – encompassing nearly the entire French population. The SNDS comprises pseudonymised databases that include mandatory health insurance data, that is, reimbursement data, specifically those derived from the processing of healthcare reimbursement requests and data from healthcare institutions (Programme de Médicalisation des Systèmes d'Information (PMSI [French National Hospital Discharge Database])).

In our study, we specifically used the PMSI, which furnishes details regarding admissions and discharges for stays in hospital across both public and private structures. Each hospital stay was coded using the International Statistical Classification of the Diseases (ICD-1018) for medical diagnoses. A distinct patient identification number was assigned for various admissions involving the same patient.Reference Scailteux, Droitcourt, Balusson, Nowak, Kerbrat and Dupuy19 Additional details concerning the PMSI can be found elsewhere.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4,Reference Pignon, Decio, Pirard, Bouaziz, Corruble and Geoffroy20,Reference Geoffroy, Decio, Pirard, Bouaziz, Corruble and Kovess-Masfety21

To identify psychiatric history in the 5 years before the study period, we relied from the medical algorithms based on the SNDS data ‘Diseases and Expense Mapping’ (for details, see section ‘History of psychiatric disorder’ in this article).

Study design and participants

This retrospective longitudinal study aimed to assess the risk of admission to hospital for self-harm during the 12 months following hospital discharge for COVID-19 or for another reason from a medical, surgical or obstetrics ward. The study focused on adults aged 18 years or older, and the timeframe for data collection was from 1 January 2020 to 30 June 2020 in metropolitan France.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4,Reference Pignon, Decio, Pirard, Bouaziz, Corruble and Geoffroy20,Reference Geoffroy, Decio, Pirard, Bouaziz, Corruble and Kovess-Masfety21

A reference hospital stay was selected for each individual. In cases of multiple admissions to hospital during the study period, the stay involving COVID-19 was considered the reference if at least one occurred. For patients with multiple admissions to hospital (for both COVID-19 or not), the highest level of clinical care provided determined the reference stay.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4 The identification of the COVID-19-related admissions to hospital was carried out following coding guidelines from the Technical Agency for Information on Hospitalisation, which provides expertise on the collection and analysis of data on hospital activity. Patients were considered to have been admitted to hospital for COVID-19 if they had a (primary, related or associated) diagnosis with ICD-10 diagnosis codes U07.1, U07.10, U07.11, U07.12, U07.14 and U07.15.

Outcome

The outcome was admission to hospital for self-harm in the 12 months following discharge for the initial (i.e. COVID-19 or another reason) hospital stay. We looked for inpatient and outpatient admissions that presented the ICD-10 codes for Intentional Self-Harm (X60–X84) registered as associated diagnoses in discharge reports. As these PMSI data could not provide information on the intention to die,Reference De Leo, Goodfellow, Silverman, Berman, Mann and Arensman22 we used this indicator, which includes self-harm, as an indicator of the latter.

Variables of interest

Sociodemographic characteristics

Demographic variables available in the PMSI were age, gender and region of residence. Age was divided into four groups: 18–39 years, 40–59 years, 60–74 years and 75+ years. Socioeconomic status was measured using the French Deprivation Index (Fdep) in 2016, developed by the Centre d'Épidémiologie sur les Causes Médicales de Décès (CépiDc [Epidemiology Center on Medical Causes of Death]), which takes into account median household income, the percentage of high school graduates, the percentage of manual workers and the unemployment rate in the individual's city of residence.

History of psychiatric disorder

Using the CépiDc database, history of psychiatric disorder in the 5 years before the study period was defined by one of the following conditionsReference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4 for a given year, if one of the following was found in the SNDS for that year:

  1. (a) declaration by a healthcare professional that the patient had a psychiatric disorder officially recognised as a long-term disease (in France, healthcare cover for such diseases is fully reimbursed);

  2. (b) admission(s) for a psychiatric disorder in a psychiatric and/or non-psychiatric hospital during the previous 2 years (n to n − 1);

  3. (c) admission(s) for a psychiatric disorder in a psychiatric and/or non-psychiatric hospital during the previous 5 years (n to n − 4), and prescription of specific psychotropic drugs on at least three different occasions during the current year n.

Characteristics of initial hospital stay

To characterise the level of intensity of care received during the initial hospital stay (i.e. for COVID-19 or for another reason), we considered its duration (median days) and three levels of clinical care received. These three levels were defined according to care provided in general for different degrees of COVID-19 severity (see details in Decio et alReference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4).

Statistical analyses

We first described our study population according to the reason (i.e. COVID-19 versus other reason) for their initial hospital stay. We then used logistic regression models to estimate and compare the risks of admission to hospital for self-harm in individuals initially admitted for COVID-19 and in those initially admitted for another reason.

Four nested models were subsequently performed for each outcome:

  1. (a) Model 1: univariate model describing the unadjusted association between the main outcome (i.e. admission to hospital for self-harm, yes/no) and the reason for initial admission to hospital;

  2. (b) Model 2: Model 1 adjusted for sociodemographic covariates;

  3. (c) Model 3: Model 2 adjusted for psychiatric disorder history;

  4. (d) Model 4: Model 3 adjusted for the characteristics of the initial hospital stay (median duration and level of clinical care received).

We conducted stratified analyses as follows:

  1. (a) Model 5: Model 4 with no adjustment for gender but stratified according to this variable;

  2. (b) Model 6: Model 4 with no adjustment for age but stratified according to the four different age categories;

  3. (c) Model 7: Model 4 with no adjustment for intensity of clinical care but stratified according to the three different levels of this variable.

We have also proposed different sensitivity analyses to validate our results:

  1. (a) we considered a shorter period for the initial admission to hospital (COVID-19 or other reasons) centred on the ‘COVID-19’ period, that is, from 16 March to 30 June 2020;

  2. (b) in the control group (admission to hospital for a reason other than COVID-19), we excluded initial admissions to hospital for psychiatric reasons (i.e. 2.62% of the sample, see Decio et alReference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4).

Statistical analyses were performed using SAS software, version 7.1 (Cary, NC, USA).

Ethical considerations

The SNDS comprises a set of strictly pseudonymised and protected databases without any possibility to identify people. By law, Santé publique [Public Health] France has permanent regulatory access to SNDS data for the performance of its missions (article L.1461-3 and R1461-13) and following of the French public health code. Access to individual data in these systems for research purposes is only possible in the SNDS hub and the data cannot be extracted and shared. This access is not subject to the prior opinion of an ethics committee, nor to the authorisation of the Commission Nationale de l'Informatique et des Libertés (CNIL [National Commission on Information Technology and Civil Liberties]). Ethics approval and written informed consent were not relevant for this research on already existing data and were not required.

Results

Cohort description

Between 1 January 2020 and 30 June 2020, 2 894 088 individuals were admitted at least once to medical (including ICU), surgical and obstetrics wards in metropolitan France. Of these, 96 313 (3.32%) were admitted to hospital for COVID-19 and 2 797 775 (96.68%) for other reasons. The cohort's characteristics are presented by Decio et al (Table 1).Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4

Table 1 Comparison (in bold when statistically significant) of patients admitted to hospital for COVID-19 and those admitted to hospital for another reason among the whole sample and the sample of patients that self-harmed

ICU, intensive care unit.

a. Level 1 (L1): patients with the mildest level of respiratory difficulty admitted to a general hospital ward (medical, surgery, obstetrics) who required no or low-flow oxygen (up to 15 L/min).

b. Level 2 (L2): patients admitted to an ICU irrespective of the intensity (i.e. type and flowrate) of oxygen supply therapy, and patients who received high-flow nasal oxygen or non-invasive ventilation.

c. Level 3 (L3): patients who were admitted to an ICU and required at least invasive ventilatory support.

Over the 12-month period following discharge from their initial hospital stay, 20 471 (0.71%) individuals were admitted to hospital for self-harm. Of these, 0.35% (n = 336) had previously been admitted to hospital for COVID-19, and 0.72% (n = 20 135) for another reason.

The gender ratio was not significantly different in the two groups (i.e. COVID-19 versus other reason) (P = 0.5807) (Table 1). Those initially admitted to hospital for COVID-19 were more likely to belong to the two older age groups (i.e. 70–74, 75+) (P < 0.0001). Patients initially admitted to hospital for reasons other than COVID-19 had a slightly higher (i.e. poorer) deprivation index score (P < 0.0001). The two groups did not differ in terms of psychiatric history (P = 0.4058). A significant difference was observed for the duration of initial stay in hospital: 6 days for COVID-19 patients v. 1 day for patients admitted to hospital for other reasons (P < 0.0001). Finally, a greater proportion of COVID-19 patients were admitted to ICU (i.e. levels 2 and 3 of care) (P = 0.0252).

Risk of admission to hospital for self-harm according to variables of interest

Associations between admission for self-harm during the 12 months following discharge from hospital for COVID-19 or for another reason and sociodemographic factors, psychiatric disorder history and characteristics of the initial admission are shown in Table 2.

Table 2 Odds ratio, adjusted odds ratio (aOR) and 95% CI (in bold when statistically significant) for the risk of admission to hospital for self-harm in the 12 months following hospital discharge for patients admitted for COVID-19 versus those admitted for another reason (in all adult patients admitted in metropolitan France in the first half of 2020)

ICU, intensive care unit.

a. No adjustment.

b. Odds ratio adjusted for sociodemographic characteristics: gender, age, region of residence and social deprivation index.

c. Odds ratio adjusted for sociodemographic characteristics and history of psychiatric disorder.

d. Odds ratio adjusted for sociodemographic characteristics, history of psychiatric disorder and characteristics of initial admission (i.e. duration of hospital stay (days) and level of clinical care received).

e.Level 1: patients with the mildest level of respiratory difficulty admitted to a general hospital ward (medical, surgery, obstetrics) who required no or low-flow oxygen (up to 15 L/min).

f.Level 2: patients admitted to an ICU irrespective of the intensity (i.e. type and flowrate) of oxygen supply therapy, and patients who received high-flow nasal oxygen or non-invasive ventilation.

g.Level 3: patients who were admitted to an ICU and required at least invasive ventilatory support.

A negative association was found between initial admission to hospital for COVID-19 and subsequent admission to hospital for self-harm (Model 1: odds ratio = 0.52, 95% CI: 0.46–0.59, P < 0.0001). This association remained significant but was attenuated after adjusting for sociodemographic factors (Model 2: (aOR) = 0.66, 95% CI: 0.59–0.73, P < 0.0001), for psychiatric disorder history (Model 3: aOR = 0.65, 95% CI: 0.58–0.73, P < 0.0001) and for the characteristics of the initial admission to hospital (Model 4: aOR = 0.70, 95% CI: 0.63–0.78, P < 0.0001).

In the final model (Model 4), psychiatric disorder history was by far the variable most associated with admission to hospital for self-harm (aOR = 11.91, 95% CI: 11.57–12.26, P < 0.0001). Patient age and the level of clinical care received during initial admission to hospital were also associated with it. Specifically, those aged 75+ years were much less likely to be admitted to hospital than the 18–39 age group (aOR = 0.15, 95% CI: 0.14–0.15, P = 0.0006). When the social deprivation index score was high (4 and 5), the association with the outcome was stronger (e.g. level 5/1, aOR = 1.10, 95% CI: 1.04–1.15, P < 0.00051). Those who received level 2 (aOR = 1.76, 95% CI: 1.68–1.80, P < 0.0001) and/or level 3 (aOR = 4.19, 95% CI: 3.91–4.50, P < 0.0001) care were at higher risk of admission to hospital than those who received only level 1 care (see above).

Stratified analyses

After stratification by gender, multivariable analyses showed a strengthened similar negative association for the risk of subsequent admission to hospital for suicide attempts in both male and female patients (Model 5: aOR = 0.75, 95% CI: 0.64–0.87 and aOR = 0.63, 95% CI: 0.53–0.74, respectively) (Supplementary Table 1 available at https://doi.org/10.1192/bjo.2024.786). In the same way, multivariable analyses stratified by age showed the same pattern, except for the 75+ category, as well as for those stratified by level of intensity of clinical care (Table 3).

Table 3 Adjusted odds ratio (aOR) and 95% CI (in bold when statistically significant) for the risk of subsequent admission to hospital for suicide attempts over the 12-month period after initial hospital discharge, for patients admitted for COVID-19 versus those admitted for another reason, in all adult patients admitted in metropolitan France the first half of 2020: Model 5, stratified by age categories (18–39, 40–59, 60–74 and 75+) using model adjusted for all variables (Model 4)

ICU, intensive care unit

Model 4: odds ratio adjusted for sociodemographic characteristics, history of psychiatric disorder and characteristics of initial admission (i.e. duration of hospital stay (days) and level of clinical care received).

a. Level 1: patients with the mildest level of respiratory difficulty admitted to a general hospital ward (medical, surgery, obstetrics) who required no or low-flow oxygen (up to 15 L/min).

b. Level 2: patients admitted to an intensive care unit (ICU) irrespective of the intensity (i.e. type and flowrate) of oxygen supply therapy, and patients who received high-flow nasal oxygen or non-invasive ventilation.

c. Level 3: patients who were admitted to an ICU and required at least invasive ventilatory support.

Sensitivity analyses

Our two sensitivity analyses, one based on a more restricted initial admission to hospital period (16 March–30 June 2020) and the other excluding initial admission to hospital for psychiatric reasons, showed similar results (Supplementary Tables 2 and 3).

Discussion

Associations

Our aim was to compare the risk of admission to hospital for self-harm in the 12 months following staying in hospital during the first half of 2020 for COVID-19 with the risk following admission to hospital for other reasons. We have highlighted that patients who had previously been admitted to hospital for COVID-19 had a lower risk of being admitted to hospital for self-harm in the 12 months following discharge than those previously admitted to hospital for other reasons, including after successive adjustment, and in stratified analyses. This result contrasts with findings in another study on the same population, where we found a higher risk of admission to hospital for other psychiatric disorders (respectively a psychiatric disorder of any type, psychotic and anxiety disorders) in the 12 months following discharge from hospital for COVID-19 than following discharge for another reason.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4 In our former study, this risk remained significantly higher even after adjustment for sociodemographic data and psychiatric disorder history.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4

The contrast between our previous and present work echoes contrasts observed elsewhere between the ‘admission to hospital for self-harm’ indicator and other indicators of mental health status in the French context. For example, although a previous national survey showed high levels of depression, anxiety, insomnia and suicidal ideation in the general population in the COVID-19 period,23 studies of hospital admissions for self-harm showed a global downward trend during the same period.Reference Jollant, Hawton, Vaiva, Chan-Chee, du Roscoat and Leon24 Studies elsewhere have also provided contrasting results. Santomauro et alReference Santomauro, Herrera, Shadid, Zheng, Ashbaugh and Pigott25 suggested that the COVID-19 health crisis is associated with a significant impact on mental health worldwide, while other studies indicated lower admission to hospital rates for self-harm in 2020–2021 than in the preceding years.Reference Steeg, Bojanić, Tilston, Williams, Jenkins and Carr11,Reference Gracia, Pamias, Mortier, Alonso, Pérez and Palao26 This contrast might be partly because most of the studies published to date on the status of mental health in general populations during the COVID-19 pandemic used self-reported internet-based questionnaires and self-reporting is likely to be biased toward those mostly emotionally affected. Another possible reason is the failure to seek treatment after a self-harm attempt; according to a previous French study, as much as 40% of those who self-harm do not subsequently go to a hospital.Reference Jollant, Hawton, Vaiva, Chan-Chee, du Roscoat and Leon24 During the first months of the COVID-19 crisis, the rate of admission to hospital for self-harm (and for psychiatric disorders in general) substantially decreased in France in a context of reorganisation of hospital services with restrictions on new admissions and closure of daily care.Reference Pignon, Gourevitch, Tebeka, Dubertret, Cardot and Dauriac-Le Masson13

In our study, the lower rate of hospital admissions for self-harm in patients who had previously been admitted for COVID-19 than in patients previously admitted for other reasons could be partly explained by the fact that the former may have felt part of what has been termed a ‘pulling together’ phenomenon.Reference Gordon, Bresin, Dombeck, Routledge and Wonderlich27 Accordingly, COVID-19 survivors were less likely to feel excluded and more likely to receive both stronger support from their family and better follow-up from healthcare teams following discharge. Such a situation would have most probably lowered the risk of self-harm. A second explanation would be the existence of a ‘post-COVID honeymoon’ during which, as in the early periods of a natural disaster,Reference Madianos and Evi28 the survivor would display a positive affect and feel general relief, which in turn may have reduced suicidality.Reference Travis-Lumer, Kodesh, Goldberg, Frangou and Levine29 A third explanation for the observed discrepancy is that those who were admitted to hospital for reasons other than COVID-19 during the study period may have had diseases that were more severe or chronic in nature, which may have led to a higher risk of self-harm.Reference Fernando, Qureshi, Sood, Pugliese, Talarico and Myran16 Reduced access to care at the start of the pandemic may have led to a selection of more severe cases in our control group ‘admitted to hospital for other reasons than COVID-19’; lower admission rates for all other illnesses were found during this period.Reference Mariet, Giroud, Benzenine, Cottenet, Roussot and Aho-Glélé30 Future research should investigate this further by detailing the ‘other’ group.

A fourth possible reason that we cannot exclude is the possibility that more people admitted to hospital for COVID-19 died during the follow-up period than those admitted to hospital for other reasons (however, death certificates are still unavailable for the period of follow-up of our study). In support of this hypothesis, a study carried out in England on health data recorded by the National Health Service seems to show an excess of all-cause mortality in the months following admission to hospital for COVID-19 compared with admission to hospital for influenza.Reference Bhaskaran, Rentsch, Hickman, Hulme, Schultze and Curtis31

In our study, admission to hospital for self-harm decreased progressively with increasing age. This result is consistent with previous data highlighting that admission rates were highest in adolescent girls followed by middle-aged persons, with a clear decrease being observed in elderly patients.Reference Chan-Chee32 Moreover, a previous study conducted in France found that the rate of admission to hospital for self-harm from the summer of 2020 onwards was higher for adolescents and young adults than in previous years, while the rate for middle-aged people decreased and the rate for people aged 70 and over remained unchanged.Reference Jollant, Roussot, Corruble, Chauvet-Gelinier, Falissard and Mikaeloff33 Furthermore, Fernando et al.Reference Fernando, Qureshi, Sood, Pugliese, Talarico and Myran16 showed among those admitted to an ICU a protective effect regarding a risk of consecutive self-harm of (a) being older and (b) receiving long-term care in a medical facility after discharge. In our study, patients in the COVID-19 group were significantly older than those in the ‘other reasons’ group. They were therefore more likely to have been referred to a long-term care facility or to a nursing home upon discharge. In addition, the health crisis may have led to a reorganisation of care in favour of COVID-infected patients, who received priority care after admission to hospital, which may have reduced the risk of self-harm.

We also found a significant association between the risk of admission to hospital for self-harm and the level of social deprivation; this finding is consistent with the literature.Reference Carroll, Knipe, Moran and Gunnell34 Finally, our models highlighted a lower risk of self-harm in admitted women. This contrasts with findings in the literature on the general population.Reference Barrigon and Cegla-Schvartzman35

A history of psychiatric disorder was strongly associated with the risk of admission to hospital for self-harm in our sample, also reflecting the literature.Reference Fernando, Qureshi, Sood, Pugliese, Talarico and Myran16

We found a strong association between the level of care received in initial admission to hospital and the subsequent risk of admission to hospital for self-harm, reflecting recent findings elsewhere;Reference Fernando, Qureshi, Sood, Pugliese, Talarico and Myran16 this is an important result in a context where intensive care and mental health suffering are now common because of the COVID-19 crisis.

Strengths and limitations

Our study has several strengths. First, the SNDS health database provides complete data on almost the entire French population.Reference Decio, Pirard, Pignon, Bouaziz, Perduca and Chin4 This ensured sufficient statistical power to analyse the risk of admission to hospital for self-harm after previous admission to hospital for COVID-19 versus admission to hospital for another reason. Moreover, using SNDS data made it possible to avoid recall, declaration and selection biases, elements that are particularly relevant when one considers that the issue of self-harm is still very much taboo.

Second, the choice to study admissions to hospital for COVID-19 with admissions to hospital for other reasons during the first wave in France allowed us to take into account this unique period in the pandemic, which was characterised by a stringent lockdown, strict isolation and generalised concern about infection. However, this exceptional period is not representative of the entire health crisis linked to COVID-19, as it gave rise to major changes in the organisation of care and reduced access to care.

Third, comparing patients admitted to hospital for COVID-19 to other admitted patients enabled us to take into account the vulnerability related to admittance to hospital itself, and to analyse the specific effect of COVID-19.

The study also has limitations. First, although the national sample made it possible to study self-harm after admission to hospital for COVID-19 or for another reason, the actual number of admissions for self-harm was relatively small. For this reason, our results require careful replication and interpretation. Second, our study is based only on self-harm that led to admission to hospital. Persons who self-harmed but received no or only outpatient psychiatric care were not considered; this limits the generalisability of our data. Indeed, only a portion of persons who self-harm in France receive inpatient care.Reference Gracia, Pamias, Mortier, Alonso, Pérez and Palao26 This was particularly true during the height of the COVID-19 health crisis when there was a lack of inpatient beds.Reference Pignon, Gourevitch, Tebeka, Dubertret, Cardot and Dauriac-Le Masson13 Furthermore, admission to hospital for ‘self-harm’ does not inform us about suicidal intent as such; further studies should address this point using other databases with a more detailed clinical description, distinguishing suicide attempt and non-suicidal self-harm.

Third, a temporary change in coding practices during the COVID-19 crisis cannot be ruled out, as admission to hospital for self-harm was coded as an associated diagnosis. However, there is no obvious reason that might explain how this hypothetical change would have a differential effect on the number of registered admissions to hospital for self-harm in the COVID-19 group versus the ‘other reasons’ group.

Fourth, we considered the 12 months following discharge after admission to hospital for COVID-19 or for another reason. Although this is a longer period than the majority of studies looking at the psychiatric consequences of COVID-19,Reference Schou, Joca, Wegener and Bay-Richter36 it may still be too short: data on long COVID or post-COVID conditions show that the long-term consequences of COVID-19 might appear even later, particularly in cases of psychiatric history.Reference Tebeka, Carcaillon-Bentata, Decio, Alleaume, Beltzer and Gallay37 In terms of suicide, a 12-year follow-up of a cohort of individuals infected by the 2003 SARS epidemic previously showed increased rates of suicide several years after infection.Reference Tzeng, Chung, Chang, Chang, Kao and Chang38 Accordingly, a longer-term impact of COVID-19 infection on self-harm cannot be ruled out, either because of persistent biological phenomena or because of psychosocial and economic factors following the related crisis.Reference Costanza, Amerio, Aguglia, Serafini, Amore and Hasler39 Clinicians and researchers need to follow patients over the long term to better understand the disease's impact on suicide risk with a view to preventing attempts.

Finally, other studies should focus on patients under 18 years of age, as they are particularly prone to self-harm.Reference Cousien, Acquaviva, Kernéis, Yazdanpanah and Delorme40

To our knowledge, this is the first study to investigate the risk of admission to hospital for self-harm in the 12 months following discharge after admission to hospital for COVID-19 or for another reason using data from the French administrative healthcare database. Our findings indicate that initial admission to hospital for COVID-19 (versus another reason) was significantly associated with a lower risk of admission to hospital for self-harm. Our study highlights the importance of taking into account psychiatric disorder history and intensive care management (especially as they are frequent in the ongoing COVID-19 crisis) when evaluating the risk of subsequent self-harm. Finally, not enough time has elapsed since the beginning of the pandemic to have a complete picture of all the long-term possible consequences of COVID-19. Longer-term follow-up of patients and further studies are therefore needed to fully understand and guide future health policy.

Supplementary material

Supplementary material is available online at https://doi.org/10.1192/bjo.2024.786

Data availability

The national French administrative healthcare database, Système National des Données de Santé (SNDS [National Administrative Healthcare Database]), comprises a set of strictly pseudonymised and protected databases. Access to individual data in these systems for research purposes is only possible in the SNDS hub and data cannot be extracted or shared.

Acknowledgements

We thank Guillaume Airagnes, Emmanuelle Bauchet, Christine Chan Chee, Mounia El Yamani, Anne Gallay, Catherine Ha, Mathilde Horn, Cédric Lemogne, Maria Melchior and Claudie Menguy, who provided insight and expertise which enhanced the quality of this study. We are also very grateful to Jude Sweeney for copyediting comments which greatly improved the manuscript.

Author contributions

Conceptualisation: V.D., P.P., S.T., N.R., O.B., V.P., F.C., Y.L.S., J.M., V.K.-M., E.C. and B.P.; data curation: V.D., F.C., P.P., O.B., V.P., J.M. and S.T.; formal analysis: V.D., P.P., O.B., V.P., F.C., Y.L.S., J.M. and S.T.; methodology and validation: all authors; writing – original draft: P.P., S.T., V.D. and B.P.; supervision: P.P., B.P., O.B., V.P., Y.L.S., J.M., V.K.-M., E.C., N.R. and S.T.; writing – review and editing: P.P., S.T., V.D., V.P., V.K.-M., E.C., O.B., P.A.G., J.M. and N.R.

Funding

This research was conducted as part of the surveillance activities of the French agency for public health (Santé publique France (SpF)). This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Declaration of interest

None.

Ethics statement

The national French administrative healthcare database, Système National des Données de Santé (SNDS [National Administrative Healthcare Database]), comprises a set of strictly pseudonymised and protected databases without any possibility to identify people. By law, Santé publique [Public Health] France has permanent regulatory access to SNDS data for the performance of its missions (article L.1461-3 and R1461-13) and following of the French public health code. Access to individual data in these systems for research purposes is only possible in the SNDS hub and cannot be extracted and shared. This access is not subject to the prior opinion of an ethics committee, nor to the authorisation of the Commission Nationale de l'Informatique et des Libertés (CNIL [National Commission on Information Technology and Civil Liberties]). Ethics approval and written informed consent were not relevant for this research on already existing data and were not required.

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Figure 0

Table 1 Comparison (in bold when statistically significant) of patients admitted to hospital for COVID-19 and those admitted to hospital for another reason among the whole sample and the sample of patients that self-harmed

Figure 1

Table 2 Odds ratio, adjusted odds ratio (aOR) and 95% CI (in bold when statistically significant) for the risk of admission to hospital for self-harm in the 12 months following hospital discharge for patients admitted for COVID-19 versus those admitted for another reason (in all adult patients admitted in metropolitan France in the first half of 2020)

Figure 2

Table 3 Adjusted odds ratio (aOR) and 95% CI (in bold when statistically significant) for the risk of subsequent admission to hospital for suicide attempts over the 12-month period after initial hospital discharge, for patients admitted for COVID-19 versus those admitted for another reason, in all adult patients admitted in metropolitan France the first half of 2020: Model 5, stratified by age categories (18–39, 40–59, 60–74 and 75+) using model adjusted for all variables (Model 4)

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