Skip to main content
BMJ Global Health logoLink to BMJ Global Health
. 2024 May 23;9(5):e015098. doi: 10.1136/bmjgh-2024-015098

The state of mental health among Ebola virus disease survivors through a cross-sectional study in Sierra Leone

Brayden G Schindell 1, Bev Fredborg 2, Kaarina Kowalec 1,3, Souradet Shaw 4, Jia B Kangbai 5,, Jason Kindrachuk 1,
PMCID: PMC11116873  PMID: 38782464

Abstract

Background

The West African Ebola virus disease (EVD) epidemic resulted in >28 000 disease cases and >11 000 fatalities. The unprecedented number of survivors from this epidemic has raised questions about the long-term mental health impacts of EVD survivorship and the capacity to meet these needs.

Objectives

Assess the frequency and factors associated with mental health consequences of EVD survivorship in Sierra Leone.

Methods

A cross-sectional study of 595 EVD survivors and 403 close contacts (n=998) from Sierra Leone assessed via in-person survey between November 2021 and March 2022. The assessment included validated mental health screening tools (Patient Health Questionnaire-9, PTSD Checklist-5, Alcohol Use Disorders Identification Test, Drug Abuse Screening Test-20) to indicate the presence/absence of disorder. The frequency of each disorder and factors associated with each disorder were assessed.

Findings

EVD-associated post-traumatic stress disorder (PTSD) was reported by 45.7% (n=257) of EVD survivors. Moreover, 3.9% (n=22) and 12.0% (n=67) of EVD survivors reported major depression (MD) and substance use, respectively; all mental health outcomes were higher than baseline rates in the region (PTSD: 6%–16%, MD: 1.1%, substance use: 2.2%). PTSD among EVD survivors was associated with acute EVD duration of ≥21 days (adjusted OR, AOR 2.24, 95% CI 1.16 to 4.43), 35–44 years of age (AOR 3.31, 95% CI 1.33 to 8.24; AOR 2.99, 95% CI 1.09 to 8.24) and residential mobility (AOR 4.16, 95% CI 2.35 to 7.35).

Conclusions

Concerningly, the levels of mental health disorders among EVD survivors in Sierra Leone remained elevated 6–8 years after recovery.

Clinical implications

Results can be used to inform policy efforts and target resources to address mental health in EVD survivors.

Keywords: Global Health, Epidemiology, Mental Health & Psychiatry, Public Health, Viral haemorrhagic fevers


WHAT IS ALREADY KNOWN ON THIS TOPIC

  • Research has shown that in the immediate aftermath of the West African Ebola virus disease (EVD) epidemic, a quarter of EVD survivors met the diagnostic criteria for post-traumatic stress disorder (PTSD) while 5% met criteria for major depressive disorder. However, community supports, including those for mental health provided by aid agencies and charitable organisations, have all but disappeared for the survivor community in Sierra Leone.

WHAT THIS STUDY ADDS

  • This is the first long-term follow-up on the mental health of EVD survivors, with surveys conducted in 2021 and 2022. Our findings suggest that levels of major depression remained unchanged compared with the immediate aftermath of the epidemic while the incidence of PTSD has doubled in that time frame. Likewise, we demonstrated that rates of mental health disorders in our sample were three times higher when compared with the general population of Sierra Leone.

HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY

  • This study identified a community affected by a lack of effective mental healthcare access, trained professionals (eg, psychiatrists, general practitioners, nurses) and culturally sensitive mental health and psychosocial support programmes in partnership with community and spiritual leaders among EVD-affected communities.

Background

The 2013–2016 West African Ebola virus disease (EVD) epidemic remains the largest recorded Ebola virus outbreak, with 28 652 cases and 11 325 deaths reported.1 An estimated 17 000 individuals recovered from EVD during this epidemic, highlighting the importance of not only responding to the acute impact of EVD outbreaks but also its long-term consequences.2 In Sierra Leone, there were 14 124 cases,1 the most of all affected countries in West Africa during this outbreak. While Sierra Leone has 3466 registered survivors, it has been estimated the total number could exceed 5000.2

The unprecedented number of survivors has raised questions about the long-term health complications of EVD survivorship and the capacity of local health systems to meet these needs.3 Past studies have shown that physical symptoms (eg, joint pain, reduced hearing and blurry vision) are associated with significant mental health problems among survivors.4 5 Unfortunately, many countries affected by EVD often lack mental health and psychosocial support (MHPSS) programmes and trained professionals (eg, psychiatrists, general practitioners, nurses) or do not have the resources to put them in place.6 From 1991 to 2002, the civil war in Sierra Leone resulted in tens of thousands of civilian fatalities and displaced >2000 000 people, leaving the health system decimated over the course of the civil war.7 Today, health services remain underdeveloped and fraught with barriers to accessing care.8 9 While charitable organisations and aid agencies provided supports during these crises, shortages of mental health professionals from chronic underfunding of mental health services left people without continuing support in the aftermath of these crises.9

Few studies have assessed the mental health of EVD survivors.3 10–12 With little is known about demographic associations to the mental health experiences of EVD survivors including whether sex plays a role in those experiencing mental health issues. A recent Amnesty International report found that EVD survivors were still struggling with a range of physical and mental health symptoms and that the COVID-19 pandemic had brought back distressing memories, with some survivors speaking of a ‘persistent fear of death’.9 In Sierra Leone, one of the few studies that assessed the nationwide impact of the EVD epidemic found that one of every five participants reported symptoms that met the diagnostic criteria for post-traumatic stress disorder (PTSD) using the Impact of Event Scale-6.11 13 Varying levels of reported mental health symptoms by EVD survivors suggest that further investigations are required to better understand the specific mental health impact of the epidemic.11 No studies have followed up on the mental health outcomes beyond 3 years after the epidemic was declared over leaving a gap in knowledge on the current state of mental health disorders among the survivor population in Sierra Leone as well as what the long-term mental health outcomes of EVD survival are. The aim of this study was to provide the first long-term follow-up on EVD survivor mental health 8 years postrecovery of EVD survivors, providing insight into what the prevalence of mental health is following interventions implemented in the country of Sierra Leone and what factors continue to influence mental health outcomes and substance use among the EVD survivor population in comparison to close contacts.

Objectives

Using cross-sectional data, this study provides an assessment of the long-term consequences of EVD on the mental health of EVD survivors when compared with close contacts in Sierra Leone in 2022. The main objective was to describe the prevalence of major depression (MD), PTSD, substance use and alcohol use among EVD survivors at the time of assessment 6–8 years after recovery. The second objective was to identify demographic and clinical health factors associated with MD and PTSD in EVD survivors.

Methods

Study design

Our population of EVD survivors has previously been described in Schindell et al.14 Data were from a national cross-sectional study in Sierra Leone conducted from November 2021 to March 2022. We computed a minimum sample size estimate of 1000 across all districts, based on estimates of the national EVD survivor population in Sierra Leone (n=3000–5000) and accounting for non-responses.14 Study recruitment and surveying occurred in parallel across all EVD-affected districts (Bo, Bombali, Falaba, Kailahun, Kambia, Karene, Kenema, Koinadugu, Kono, Moyamba, Port Loko, Pujehun, Tonkolili, Western Area Rural and Western Area Urban).14

A multistage sampling approach was used, whereby known survivors provided by the Sierra Leone Association of Ebola Survivors were stratified by district and gender followed by random sampling within each district. This multistage sampling method started in the south of the country and moved to the north and finished in the west of Sierra Leone, ending in the Western region. Due to a lack of reliable internet access in many areas, our recruitment team surveyed participants where they translated measures to Krio for those who did not speak English (the most common language after English spoken in Sierra Leone) and assisted those who were unable to read. As shown in our previously published flow chart,14 we recruited 1247 respondents, with 5 who did not consent, 197 duplicate/no responses, 10 did not meet the age inclusion criteria and 37 did not provide an EVD survivor status for a total of 998 participants included in the study and 824 presented in our analysis here (354 close contacts and 470 survivors).

Participants

Eligibility criteria for EVD survivor participants included providing an EVD discharge card, or certificate from an Ebola treatment centre (ETC) in Sierra Leone between March 2014 and March 2016, as proof of EVD recovery. Eligibility criteria for close contacts included providing proof of being a family member of either an EVD survivor, or of a deceased EVD patient, by providing an EVD discharge card, certificate or a death certificate for their deceased family member. Finally, only those between 18 and 50 years of age were eligible to participate. All participants provided informed consent.

Patient and public involvement

Questionnaires were informed by prior studies of EVD survivors as described previously.14 EVD survivors were informed about the scope, expected outcomes of the study and their ability to end participation at any time without any repercussions via a consent disclosure statement, with continuation only occurring for those participants who consented to participate. All research staff who were involved in the collection and analysis of study data had training on ethical conduct for research involving humans and applicable personal and health privacy legislation.

Author reflexivity statement

This study directly addressed ongoing health complications found among individuals living in Sierra Leone who had previously recovered from EVD during the 2014–2016 West African EVD epidemic. Local community members provided advisement for the study, including the participant recruiters and the Sierra Leone Ebola Survivors Association. JBK is a local researcher based in Sierra Leone and provided ongoing advisory support for all recruiters during the study and community engagement. Information from these studies will be communicated to study participants through ongoing partnerships with Ebola survivor association community organisations and through ongoing collaboration with the National Public Health Agency in Sierra Leone. All study data were fully anonymised and are openly available at request from the corresponding authors.

Instruments

Demographics

Sociodemographic and behavioural characteristics included age, sex assigned at birth (female/male), any formal education (yes/no), employment status, survivor status, Ebola survival stigma, marital/relationship status prior to and since EVD, religious affiliation (Christian/Muslim/traditional/other/none), district/province of residence prior to and since EVD, place of residence (city/town/village) and change of residence at the time of the survey. Stigma was assessed as previously described, but briefly, it measured eight different dimensions of stigma.14 Clinical health factors assessed in the context of mental health included acute EVD length, acute EVD symptoms, acute treatment at an ETC and current sequelae including eye pain, blurred vision, reduced hearing, hypertension, chest pain, abdominal pain, joint pain, headache, memory loss, sleeping issues, fatigue and night sweats.

Patient Health Questionnaire

The Patient Health Questionnaire (PHQ-9) is a nine-item self-administered questionnaire to evaluate depressive symptoms during the preceding 2 weeks.15 These nine items are directly based on the nine diagnostic criteria for major depressive disorder (MDD) in the Diagnostic and Statistical Manual-Fifth Edition (DSM-5). This instrument serves a dual purpose in that it screens for both the presence of a depressive disorder and assesses symptom severity. Each item of the index is scored on a 4-point Likert scale from 0 (not at all) to 3 (nearly every day), with scores ranging from 0 (no depressive symptoms) to 27 (severe depressive symptoms). A tentative diagnosis of MDD is given if PHQ-9 total score ≥10 (If five or more of the depressive symptom items have been scored at least 2 (ie, more than half the days during the last 2 weeks) and one symptom is anhedonia (depressed mood/lack of interest)).16 This index had a Cronbach’s α of 0.76 demonstrating good internal reliability for this study. This instrument has been previously used and validated for use in sub-Saharan Africa.15

PTSD Checklist

The PTSD Checklist (PCL-5) is a 20-item self-report measure that assesses the presence and severity of PTSD symptoms during the previous month. The 20 items directly correspond with the DSM-5 PTSD criteria, assessing intrusion symptoms (eg, nightmares and unwanted memories), avoidance, alterations in negative cognitions and mood, and hyperarousal symptoms (eg, hypervigilance and sleep disturbance) related to having an EVD infection (ie, the index trauma). As such, the measure was used to make a provisional diagnosis of PTSD. Each item of the index is scored on a 5-point Likert scale from 0 (not at all) to 4 (extremely) with total symptom severity scores ranging from 0 to 80. A cut-off score of 33 was used to provide participants with a provisional diagnosis of PTSD.17 The PCL-5 has a Cronbach’s α of 0.97 demonstrating excellent internal reliability for use in our study and has been used in Sierra Leone and other West African populations.18 19

Alcohol Use Disorders Identification Test

The Alcohol Use Disorders Identification Test (AUDIT) is a 10-item self-report measure of alcohol use during the past year. Each item is scored on a 5-point Likert scale from 0 (never) to 4 (daily or almost daily) with total frequency scores ranging from 0 to 40. A cut-off score of 8 was used to assess the presence of harmful alcohol use, resulting in a tentative diagnosis of alcohol use disorder.20 This index had a Chronbach’s α of 0.89 demonstrating good internal reliability for use in our EVD population.

Drug Abuse Screening Test

The Drug Abuse Screening Test (DAST-20) is a 20-item self-report measure of drug use (excluding alcohol) during the preceding year.21 Each item of the index is scored on a binary (yes/no) scale producing a total drug use score between 0 (no drug use) and 20 (severe drug use). A cut-off score of 6 was used to screen for participants with tentative drug use as this level meets DSM-5 criteria for a diagnosis of a substance use disorder.21 22 This index had a Chronbach’s α of 0.95 demonstrating high internal reliability for use in our study.

Statistical analysis

Descriptive statistics were used for reporting continuous (mean/SD or median/IQRs) and categorical variables (frequency/percentages). χ2 or Fisher’s exact tests were used to test associations between independent variables (eg, sociodemographic variables, such as age) and dependent variables (MD, PTSD, substance use disorder and alcohol use disorder). We report the prevalence of PTSD, depression, substance use and alcohol use disorder in the EVD survivors and close contacts. We then used logistic regression to test the statistically significant psychosocial and health variables for associations with mental health and sex through sex-based stratification. For univariable, bivariate and multivariable analyses, depression, PTSD, substance use disorder and alcohol use disorder were converted into binary outcomes based on their respective cut-off scores (PHQ-9≥10, PCL-5≥33, AUDIT≥8, DAST-20≥6) and presented in comparison to close contacts. Independent variables (ie, demographic and health related variables) with p≤0.1 in bivariate analysis (χ2 or Fisher’s exact test) were used in the univariable logistic regression models computing a crude OR. Variables with p≤0.05 in the univariable models were included in the multivariable logistic regression model determining which factors independently associated with the outcomes. Statistical significance was defined as two-tailed p≤0.05; crude and adjusted ORs (AORs), and 95% CIs are presented here for statistically significant variables.

Stata V.17.0 (StataCorp) was used to perform all analyses. Missing data were minimal, however, when needed for variable analysis in the multivariate logistic regression models pairwise deletion was used to ensure the dataset for assessed variables was complete. Authors had access to the fully anonymised version of the dataset.

Results

Participant characteristics

Here, we included 824 participants in the study, with 470 (57.0%) EVD survivors and 354 (43.0%) close contacts, with the total participant demographics included in table 1. The median age of EVD survivors was 30 years at survey administration (IQR=25–40) and the median duration of EVD was 21 days (IQR=9–24) (online supplemental table A). The majority of EVD survivors were treated in an ETC (68.7%, n=323), and 27.4% (n=129) were treated in the hospital with a further 3.9% (n=18) treated at other locations. Approximately, half of EVD survivors reported experiencing stigma at the time of the survey (54.7%, n=257).

Table 1.

Demographics of participants by EVD survival status

Close contacts (n=354) EVD survivors (n=470) Total P value
Biological sex <0.001
 Male 223 63.0% 232 49.4% 455 55.2%
 Female 131 37.0% 238 50.6% 369 44.8%
Age group 0.090
 <20 20 5.6% 42 8.9% 62 7.5%
 20–24 36 10.2% 61 13.0% 97 11.8%
 25–29 63 17.8% 88 18.7% 151 18.3%
 30–34 88 24.9% 100 21.3% 188 22.8%
 35–39 71 20.1% 66 14.0% 137 16.6%
 40–44 37 10.5% 61 13.0% 98 11.9%
 45+ 39 11.0% 52 11.1% 91 11.1%
Education 0.572
 No 207 58.2% 284 60.4% 491 59.6%
 Yes 147 41.8% 186 39.6% 333 40.4%
Employment <0.001
 No 146 41.4% 402 85.5% 548 66.5%
 Yes 208 58.6% 68 14.5% 275 33.5%
Provinces <0.001
 Northern 11 3.1% 46 9.8% 57 6.9%
 Eastern 130 36.9% 182 38.7% 312 37.9%
 Southern 69 19.6% 99 21.1% 168 20.4%
 Western 92 26.1% 84 17.9% 176 21.4%
 North West 52 14.2% 59 12.6% 111 13.4%

EVD, Ebola virus disease.

Supplementary data

bmjgh-2024-015098supp001.pdf (185.2KB, pdf)

Main outcomes

Mental health symptoms among the EVD survivor population and close contacts were assessed and are summarised in table 2. PTSD was reported by 47.0% (n=221) of EVD survivors when EVD was assessed as the index trauma and was the most common mental health issue assessed. 3.8% (n=18) of EVD survivors reported symptoms congruent with MD, compared with 1.1% (n=4) of close contacts (p=0.017). Harmful levels of substance use (excluding alcohol) were reported by 9.8% (n=46) of EVD survivors, compared with 2.2% (n=8) in close contacts (p≤0.001). 3.8% (n=18) reported harmful levels of alcohol use, with 2.8% (n=10) of close contacts (p=0.431) reporting harmful levels of alcohol use. Several demographic variables demonstrated differences in comparison to close contacts. Online supplemental table B explores associations with EVD survival in comparison to close contacts when adjusted for sex, age, province of residence and employment status, demonstrating a significant association with drug use (AOR 4.43, 95% CI 1.85 to 10.61, p≤0.001), but not with MDD or harmful drinking levels.

Table 2.

Mental health of respondents by EVD survivor status

Close contact (n=354) EVD survivor (n=470) Total P value
PTSD
 No PTSD N/A N/A 249 53.0% 249 53.0%
 PTSD N/A N/A 221 47.0% 221 47.0%
Depression 0.017
 No depressive symptoms 350 98.9% 452 96.2% 802 97.3%
 Depressive symptoms 4 1.1% 18 3.8% 22 2.7%
Drug use <0.001
 No drug use 346 97.8% 424 90.2% 770 93.4%
 Drug use 8 2.2% 46 9.8% 54 6.6%
Alcohol use 0.431
 Acceptable drinking 344 97.2% 452 96.2% 796 96.6%
 Harmful drinking 10 2.8% 18 3.8% 28 3.4%

EVD, Ebola virus disease; N/A, not applicable.

Table 1 shows demographics when EVD survivors are compared with close contacts. Notably in comparison to close contacts significantly fewer survivors were employed/had an income source (14.5%, n=68, p≤0.001) compared with their close contacts (58.6%, n=207). Online supplemental table C shows that the AOR of survivors to be unemployed is 13.9 (95% CI 9.13 to 21.27, p≤0.001) when compared with close contacts and adjusted for sex, age, province of residence, education and religion. There were also significant differences in the geographical distribution of survivors when compared with close contacts with significantly more close contacts living in the urban capital region (26.1%, n=92) compared with EVD survivors (17.9%, n=84). This difference in province of residence was highlighted in online supplemental table C where EVD survivors were significantly more likely to be living in the Northern (AOR 5.21, 95% CI 2.16 to 12.61, p≤0.001), Eastern (AOR 2.74, 95% CI 1.66 to 4.53, p≤0.001), Southern (AOR 2.57, 95% CI 1.46 to 4.52, p≤0.01) and Northwestern (AOR 2.13, 95% CI 1.13 to 4.02, p≤0.05) regions of the Sierra Leone.

In the fully adjusted model, EVD survivors who were middle-aged (35–39 AOR 3.31, 95% CI 1.33 to 8.24, p≤0.05; 40–44 AOR 2.99, 95% CI 1.09 to 8.24, p≤0.05), were from the Northwestern province (AOR 14.2, 95% CI 3.58 to 56.46, p≤0.001) or had changed their district of residence (AOR 4.16, 95% CI 2.35 to 7.35, p≤0.001) had a higher association with PTSD (table 3).

Table 3.

Demographic associations with PTSD for survivors—crude and adjusted ORs and 95% CI, logistic regression models

Crude ORs Adjusted ORs
Sex
 Male 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Female 0.94 (0.67 to 1.31) 1.08 (0.65 to 1.80)
Age group
 <20 1.83 (0.87 to 3.87) 1.23 (0.47 to 3.21)
 20–24 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 25–29 1.49 (0.80 to 2.78) 1.77 (0.77 to 4.07)
 30–34 2.53** (1.38 to 4.65) 1.83 (0.76 to 4.40)
 35–39 2.89** (1.51 to 5.53) 3.31* (1.33 to 8.24)
 40–44 2.11* (1.08 to 4.12) 2.99* (1.09 to 8.24)
 45+ 1.27 (0.63 to 2.55) 1.85 (0.69 to 4.99)
Province
 Northern 0.039*** (0.01 to 0.12) 0.33 (0.06 to 1.66)
 Eastern 0.24*** (0.14 to 0.41) 0.37 (0.12 to 1.13)
 Southern 0.55* (0.31 to 0.97) 1.33 (0.41 to 4.35)
 Western 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 North West 1.05 (0.52 to 2.10) 14.2*** (3.58 to 56.46)
Change in residence
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 2.12*** (1.50 to 2.99) 4.16*** (2.35 to 7.35)
Education
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 0.68* (0.48 to 0.97) 0.84 (0.46 to 1.53)
Employment
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 0.61* (0.38 to 0.99) 1.08 (0.41 to 2.80)
Religion
 Christian 1.81*** (1.27 to 2.58) 1.54 (0.92 to 2.57)
 Muslim 1 (1.00 to 1.00) 1 (1.00 to 1.00)
Employment since Ebola
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 0.32*** (0.18 to 0.57) 0.17** (0.06 to 0.49)
Observations 472

Exponentiated coefficients; 95% CI in brackets.

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

PTSD, post-traumatic stress disorder.

EVD survivors who had acute EVD of 15 to over 21 days had a greater association with PTSD. Of participants who did not meet the criteria for PTSD, the largest proportion of participants reported acute EVD lasting <7 days (41.0%, n=102) while most participants that met the criteria for PTSD had acute EVD lasting over 21 days (51.6%, n=114). Treatment in an ETC was more common among survivors that met criteria for PTSD (90.5%, n=200, p≤0.001) compared with in hospital (5.9%, n=13, p≤0.001). For survivors who did not meet the criteria for a PTSD diagnosis, 49.4% (n=123) reported treatment in an ETC and 46.6% (n=116) reported treatment in the hospital.

Associations to other mental health-related symptoms were also assessed and are presented in table 4 (adjusted for; sex, age group, stigma, depression, headache, memory loss, sleeping issues, fatigue and night sweats). PTSD is associated with reported stigma (AOR 5.20, 95% CI 2.77 to 9.75, p≤0.001) and headaches (AOR 2.27, 95% CI 1.22 to 4.22, p≤0.01). Depressive symptoms were less common than PTSD symptoms, however, significantly more EVD survivors reported these symptoms that met PTSD symptoms criteria (5.9%, n=15) when compared with those who did not (2.3%, n=7, p=0.047).

Table 4.

Clinical and mental health associations with PTSD for survivors—crude and adjusted ORs and 95% CI, logistic regression models

Crude ORs Adjusted ORs
Sex
 Male 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Female 0.94 (0.67 to 1.31) 0.56* (0.32 to 0.98)
Age group
 <20 1.83 (0.87 to 3.87) 1.53 (0.49 to 4.85)
 20–24 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 25–29 1.49 (0.80 to 2.78) 0.55 (0.91 to 5.87)
 30–34 2.53** (1.38 to 4.65) 2.31 (0.80 to 32.64)
 35–39 2.89** (1.51 to 5.53) 1.74 (0.61 to 4.94)
 40–44 2.11* (1.08 to 4.12) 0.57 (0.20 to 1.66)
 45+ 1.27 (0.63 to 2.55) 0.69 (0.22 to 2.23)
Stigma
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 6.21*** (4.27 to 9.03) 5.20*** (2.77 to 9.75)
Depression
 No depressive symptoms 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Depressive symptoms 2.64* (1.06 to 6.58) 1.27 (0.36 to 4.48)
Headache
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 4.33*** (2.92 to 6.43) 2.27** (1.22 to 4.22)
Memory loss
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 0.27* (0.09 to 0.81) 0.41 (0.09 to 1.86)
Sleeping issues
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 47.3*** (28.04 to 79.76) 43.3*** (23.63 to 79.23)
Fatigue
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 2.97*** (1.94 to 4.56) 1.09 (0.53 to 2.23)
Night sweats
 No 1 (1.00 to 1.00) 1 (1.00 to 1.00)
 Yes 1.80* (1.06 to 3.07) 0.95 (0.42 to 2.15)
Observations 551

Exponentiated coefficients; 95% CIs in brackets.

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

PTSD, post-traumatic stress disorder.

Sex-based associations of mental health and EVD

Among EVD survivors who reported PTSD, female EVD survivors were more associated with stigma (AOR 6.20, 95% CI 2.76 to 13.93, p≤0.001) (online supplemental table D) and living outside the Western Province compared with male EVD survivors (Northern province AOR 13.8, 95% CI 1.08 to 177.75, p≤0.05; Eastern province AOR 13.0, 95% CI 4.23 to 40.07, p≤0.001; Southern province AOR 24.5, 95% CI 7.82 to 76.81, p≤0.001; Northwestern province AOR 22.9, 95% CI 5.22 to 100.49, p≤0.001) compared with their male counterparts (online supplemental table E). There was no significant association observed among EVD survivors who reported PTSD between female survivors and MD (AOR 2.20, 95% CI 0.61 to 7.94, p≥0.05). Likewise, no significant association was observed between biological sex and PTSD (AOR 1.16, 95% CI 0.73 to 1.82, p≥0.05) when adjusted for demographics. Differences in the prevalence of mental health problems were found between sexes and among EVD survivors and their close contacts (online supplemental tables F–H). Alcohol use was more prevalent among female EVD survivors (4.8%, n=14) compared with close contacts (0.8%, n=1, p=0.045) however, the same difference was not found between male EVD survivors (4.6%, 12) compared with close contacts (4.1%, n=9, p=0.826). While both male EVD survivors (9.7%, n=25) compared with close contacts (2.7%, n=6, p=0.002) and female EVD survivors (13.6%, n=40) compared with close contacts (1.5%, n=2, p≤0.001) reported increased prevalence of drug use.

Discussion

This paper assesses the prevalence of, and factors associated with, mental health symptoms among EVD survivors in Sierra Leone. Regarding PTSD in EVD survivors, we found that the prevalence of PTSD in our sample (47.0%) was higher than reported in previous studies of EVD survivors in Sierra Leone. In a 2018 study, 27% of EVD survivors met levels of clinical concern for PTSD while 16% met levels of probable PTSD diagnosis; notably, PTSD was assessed using the IES-6 scale, which is a shorter but less robust measure of DSM-V defined PTSD and reduced sensitivity may have affected probable diagnoses.11 23 A more recent 2020 study of northern Sierra Leone conducted 2 years after the West African epidemic found a PTSD prevalence of 21.8%.24 While we found that the prevalence of MD (3.8%) was congruent with previously reported levels of MD in EVD survivor populations, though these studies tended to examine the recent aftermath of the epidemic and not at an extended time scale as reported here and only one used the PHQ-9 while the others used the Centre for Epidemiologic Studies-Depression Scale or used self-reported depression.3 25 26 For example, a study of mental health symptoms experienced by individuals who survived EVD across Sierra Leone, Liberia and Guinea also using the PHQ-9 found that 7.1%, 6.8% and 3.6% of the studied population met criteria for MDD in 2018, respectively.3 Moreover, a 2018 study using hospital outpatient records of EVD survivors in Liberia found that 13% of survivors had depressive symptoms.25 Finally, results from the PostEboGui cohort of survivors in Guinea found that 11% met the criteria for depression after a clinical consultation with a psychiatrist.26 There was one outlier study that found depression in Northern Sierra Leone had a prevalence of 47.2%, however, it should be noted this study used a brief assessment of anxiety and depression (Hospital Anxiety and Depression Scale) which cannot assess MDD as described here with PHQ-9.24 27 Nonetheless, it is notable that rates of depression have not decreased in the 8 years since the epidemic started. These results suggest a gap in care for EVD survivors, and that future epidemics may also lead to similar mental health symptoms.

Factors associated with the mental health effects of EVD survival have been reported to be wide ranging, including physical health effects seen and experienced by EVD survivors during their acute infection.28 Previous studies have shown that these physical symptoms are associated with major mental health problems among survivors.4 5 The physical symptoms associated with EVD (eg, fever, severe headache, muscle pain, weakness, fatigue, diarrhoea, vomiting, abdominal and stomach pain, unexplained haemorrhage) are significant stressors and can contribute mental health of affected individuals.4 29 Here, we reported associations with both headaches and sleeping issues. Furthermore, EVD survivors with a unit increase in the time spent in the ETC were likely to report a decrease in mental health.30 Our results agreed with these findings demonstrating that a prolonged duration of acute EVD increased the likelihood of experiencing PTSD. Other risk factors for anxiety depression and PTSD include experience of perceptions of others, mortality, socioeconomic insecurities, stigma and discrimination, all may have been experienced in Sierra Leone by EVD survivors.11 EVD survivors who experienced a unit increase in Enacted Stigma were more likely to report a decreased level of mental health.30 We demonstrated in our results that stigma is significantly associated with experiencing PTSD, with a more detailed analysis on this topic available in Schindell et al.14 EVD survivors continue to suffer from psychological distress due to grief resulting from losing loved ones, social exclusion and community stigmatisation.31 32 Limitations have led to survivors being unemployed, leading to dependence on others and a loss of self-worth particularly among those with advanced age.10 31 33 We found that although unemployment among EVD survivors is not significantly associated with PTSD it is highly associated with EVD survival and likely a contributor to feelings of self-worth and internalised stigma and other rumination activities negatively affecting mental health.

It is important to look at other viral outbreaks and epidemics to see what can be learnt about the mental health effects that follow the resolution of the outbreaks and epidemics. It has been found that in contrast to our findings here, COVID-19 survivors had no significant association between mental health and length of stay at the COVID-19 treatment centre.34 A population-based survey in Taiwan revealed 12% prevalence of psychiatric morbidity following SARS.35 In Singapore, a community-based sample reported a quarter of all respondents had clinical levels of PTSD.36 Similar to SARS, the 2009 H1N1 pandemic was associated with psychological distress among patients37 with H1N1. Davtyan et al explored similarities between EVD-related and HIV-related stigma and found that many of the same features of HIV-related stigma were shared with EVD-related stigma,38 similar findings have been separately reported among HIV/AIDS patients, in which internalised stigma was related to lower emotional well-being.39 We can see that the experience of acute illness and the stigma that comes along with the illness experienced by the individuals dealing with the infections are predictive of mental health outcomes for survivor and recovered populations.

Clinical implications

Providing access to suitable mental health services to both EVD survivors and the general population in West Africa is a challenge for numerous reasons including, but not limited to mental health expenditure remaining low, with an estimated US$0.02 spent annually per person in Liberia (data is not available for Sierra Leone), and insufficient health staffing, with an estimated 0.02–0.04 psychiatrists and 0.33–6.4 mental health nurses per 100 000 people across the three countries.40 In, Sierra Leone, as of 2021, there were 3 psychiatrists and approximately 20 mental health nurses in the public workforce for a population of 7 million people,9 with the majority of EVD survivors unaware of any psychological services, either through government health facilities or non-governmental organisations.9 Infrastructure to provide specialised services such as psychiatric in-patient care remains insufficient while community stigma surrounding mental health conditions remains a barrier to both accessing and providing care.41 42 However, efforts are being made to address these, as all three countries have official mental health policies which call for expanded resources for and access to mental health services and psychiatric medications.40

The WHO Mental Health Gap Action Programme emphasises improvement of mental health services is a joint responsibility that requires collaboration from governments, health professionals, donors, civil society, communities and families.43 Countries affected by EVD often lack MHPSS programmes and trained professionals (eg, psychiatrists, general practitioners and nurses) or do not have the resources to put them in place.6 Resulting in most MHPSS programmes in affected countries externally funded by international organisations.44 However, the King’s Sierra Leone Partnership which was supported by the WHO and was developed and lead by the Government of Sierra Leone, established a nurse-led MHPSS service with inpatient services and an outpatient clinic.6 Mental health nurses and volunteers from the King’s Sierra Leone Partnership trained 14 general nurses in EVD-focused psychological first aid, case identification and referral pathways.6 The nurses offered a series of half-day well-being workshops on coping with stigma, discrimination, stress and self-care to the healthcare staff of the Connaught Hospital.6

Learning from past attempts, future interventions need to include comprehensive strategies that are community lead to ensure buy-in and success. Strategies that should be included in these initiatives include psychoeducation, cognitive techniques, peer support, legislative and policy change at the local and national level all need to be explored to improve EVD survivor mental health and quality of life.30 Cognitive–behavioural therapy and interpersonal therapy should also be explored as part of mental healthcare interventions for subsequent outbreaks and for those who survived previous outbreaks.24 Anti-stigma interventions can further these efforts in the form of mental health literacy campaigns (implemented by government or non-governmental organisations), peer support and interventions that encourage contact between EVD survivors and the public can help to overcome existing interpersonal divide and foster positive connection and interaction resulting in community reintegration and inclusion.45

Limitations

The data used were cross-sectional in nature, and therefore, could not establish a cause-and-effect relationship or analyse changes over time. Although data were collected in standardised validated question sets (PHQ-9≥10, PCL-5≥33, AUDIT≥8, DAST-20≥6), the data were self-reported, and therefore, respondents may have focused on past experiences. This limitation was overcome through framing questions on these question sets in a specific recent time period (in the past 2 weeks or months). We did not directly assess the effects of civil war (1992–2002) on study participants and therefore cannot determine how past history of PTSD in Sierra Leone may have influenced levels of clinical concern detected here. Recruiting close contacts as a control population allowed for matched experiences during the civil war and EVD epidemic as much as possible between the two populations of study. Tentative diagnoses of depression and PTSD could not be validated through clinical consultations. To overcome this limitation, valid and reliable diagnostic tools were used for their sensitivity and specificity in the preliminary diagnosis of mental health and substance use.3

Future directions

Future studies should look to expand on the findings presented here to determine causality in the factors associated with EVD-related mental health. Additionally, the assessment of PTSD associated with the civil war should be determined by how it relates to EVD survivors as well as the general population of Sierra Leone. Qualitative assessment should be included in future assessments to add context to individual experiences of mental health to help highlight barriers experienced by survivors and where improvements can be made. Conducting these recommendations as a longitudinal study could help track changes over time.

Conclusions

Overall, the results presented here underscore the continued mental health issues experienced by EVD survivors in Sierra Leone. Six to eight years after recovery, PTSD was the most prevalent mental health issue EVD survivors were facing. Although there have been a few programmes implemented in Sierra Leone by national organisations (King’s Sierra Leone Partnership) and state institutions, more needs to be done to address the clinical mental health needs of EVD survivors in Sierra Leone. Implementation of intervention programmes using assessments such as the PCL-5 used here are easy to implement and can decrease the burden on the health infrastructure through partnerships with community and spiritual leaders to identify individuals who would benefit from the care resources available. Such assessments of mental health and risk factors for mental illness can also support policy efforts to improve resources to address mental health and inform how resources can be deployed most efficiently in the aftermath of the West African epidemic and possible future outbreaks.

Acknowledgments

We would like to thank our funding sources. We would also like to thank the EVD survivor and close contact participants and advisers from this study, the Sierra Leone Ebola Survivors Association, as well as the participant recruiters for their work and support.

Footnotes

Handling editor: Seema Biswas

X

@SouradetS, @KindrachukJason

Contributors: JK and JBK conceived the study while BGS, JBK, KK, SS and JK designed the study. JBK led the recruitment and in-country support in Sierra Leone. BGS, SS, KK and BF analysed the data. BGS prepared the manuscript. JK supervised the study, analysis and writing process. JK is the the guarantor for this study. All authors contributed to the intellectual content of the manuscript and read and approved the final version of the manuscript.

Funding: JK is funded by a Tier 2 Canada Research Chair in the Molecular Pathogenesis of Emerging and Re-Emerging Viruses provided by the Canadian Institutes of Health Research (grant no. 950-231498), the Manitoba Medical Service Foundation (grant no. 8-2018-08) and the Canadian Institutes of Health Research (grant no. PJT-175098).

Competing interests: None declared.

Patient and public involvement: Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data are available on reasonable request.

Ethics statements

Patient consent for publication

Consent obtained directly from patient(s).

Ethics approval

This study involves human participants and was approved by University of Manitoba REB H2020:538 (HS24515). Participants gave informed consent to participate in the study before taking part.

References

  • 1. Centers for Disease Control and Prevention . History of Ebola virus disease (EVD)outbreaks. 2022. Available: https://www.cdc.gov/vhf/ebola/history/chronology.html#print
  • 2. Alva S, Davis N, Stan L, et al. Conducting mixed-methods research with Ebola survivors in a complex setting in Sierra Leone. BMC Public Health 2020;20:1346. 10.1186/s12889-020-09469-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Secor A, Macauley R, Stan L, et al. Mental health among Ebola survivors in Liberia, Sierra Leone and guinea: results from a cross-sectional study. BMJ Open 2020;10:e035217. 10.1136/bmjopen-2019-035217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Etard J-F, Sow MS, Leroy S, et al. Multidisciplinary assessment of post-Ebola sequelae in guinea (Postebogui): an observational cohort study. Lancet Infect Dis 2017;17:545–52. 10.1016/S1473-3099(16)30516-3 [DOI] [PubMed] [Google Scholar]
  • 5. Keita MM, Doukouré M, Chantereau I, et al. Les Survivants de L’Épidémie Récente de la Maladie À virus Ebola au service de Psychiatrie de L’Hôpital national Donka en Guinée-Conakry: Étude Psychopathologique et Psychothérapeutique. L’Évolution Psychiatrique 2017;82:127–42. 10.1016/j.evopsy.2016.07.004 [DOI] [Google Scholar]
  • 6. Cénat JM, Mukunzi JN, Noorishad P-G, et al. A systematic review of mental health programs among populations affected by the Ebola virus disease. J Psychosom Res 2020;131:109966. 10.1016/j.jpsychores.2020.109966 [DOI] [PubMed] [Google Scholar]
  • 7. Human Rights Watch . Youth, poverty and blood: the legacy of West Africa’s regional warriors. New York: Human Rights Watch, 2005. [Google Scholar]
  • 8. World Health Organization . Mental health atlas: 2011. World Health Organization, 2011. [Google Scholar]
  • 9. Mahase E. Sierra Leone: Ebola and war survivors failed by lack of mental health services, amnesty finds. BMJ 2021;373:n1381. 10.1136/bmj.n1381 [DOI] [PubMed] [Google Scholar]
  • 10. Karafillakis E, Jalloh MF, Nuriddin A, et al. Once there is life, there is hope' Ebola survivors' experiences, behaviours and attitudes in Sierra Leone, 2015. BMJ Glob Health 2016;1:e000108. 10.1136/bmjgh-2016-000108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Jalloh MF, Li W, Bunnell RE, et al. Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone. BMJ Glob Health 2018;3:e000471. 10.1136/bmjgh-2017-000471 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Kamara S, Walder A, Duncan J, et al. Mental health care during the Ebola virus disease outbreak in Sierra Leone. Bull World Health Organ 2017;95:842–7. 10.2471/BLT.16.190470 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Horowitz M, Wilner N, Alvarez W. Impact of event scale: a measure of subjective stress. Psychosom Med 1979;41:209–18. 10.1097/00006842-197905000-00004 [DOI] [PubMed] [Google Scholar]
  • 14. Schindell BG, Kangbai JB, Shaw SY, et al. Stigmatization of Ebola virus disease survivors in 2022, a cross-sectional study of survivors in Sierra Leone. J Infect Public Health 2024;17:35–43. 10.1016/j.jiph.2023.10.025 [DOI] [PubMed] [Google Scholar]
  • 15. Woldetensay YK, Belachew T, Tesfaye M, et al. Validation of the patient health questionnaire (PHQ-9) as a screening tool for depression in pregnant women: Afaan Oromo version. PLoS One 2018;13:e0191782. 10.1371/journal.pone.0191782 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001;16:606–13. 10.1046/j.1525-1497.2001.016009606.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Weathers FW, Litz BT, Keane TM, et al. The PTSD checklist for DSM-5 (PCL-5). 2013.
  • 18. Waterman S, Hunter ECM, Cole CL, et al. Training peers to treat Ebola centre workers with anxiety and depression in Sierra Leone. Int J Soc Psychiatry 2018;64:156–65. 10.1177/0020764017752021 [DOI] [PubMed] [Google Scholar]
  • 19. Ng LC, Stevenson A, Kalapurakkel SS, et al. National and regional prevalence of posttraumatic stress disorder in sub-Saharan Africa: a systematic review and meta-analysis. PLoS Med 2020;17:e1003090. 10.1371/journal.pmed.1003090 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Conigrave KM, Hall WD, Saunders JB. The AUDIT questionnaire: choosing a cutoff score. Addiction 1995;90:1349–56. 10.1111/j.1360-0443.1995.tb03552.x [DOI] [PubMed] [Google Scholar]
  • 21. Skinner HA. The drug abuse screening test. Addict Behav 1982;7:363–71. 10.1016/0306-4603(82)90005-3 [DOI] [PubMed] [Google Scholar]
  • 22. Yudko E, Lozhkina O, Fouts A. A comprehensive review of the psychometric properties of the drug abuse screening test. J Subst Abuse Treat 2007;32:189–98. 10.1016/j.jsat.2006.08.002 [DOI] [PubMed] [Google Scholar]
  • 23. Umberger R. What is the best core measure after critical illness when the IES-R is no longer accessible for new researchers Crit Care 2019;23:313. 10.1186/s13054-019-2595-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Bah AJ, James PB, Bah N, et al. Prevalence of anxiety, depression and post-traumatic stress disorder among Ebola survivors in northern Sierra Leone: a cross-sectional study. BMC Public Health 2020;20:1391. 10.1186/s12889-020-09507-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. de St. Maurice A, Ervin E, Orone R, et al. Care of Ebola survivors and factors associated with clinical sequelae-Monrovia, Liberia. Open Forum Infect Dis 2018;5. 10.1093/ofid/ofy239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Keita MM, Taverne B, Sy Savané S, et al. Depressive symptoms among survivors of Ebola virus disease in Conakry (guinea): preliminary results of the Postebogui cohort. BMC Psychiatry 2017;17:127. 10.1186/s12888-017-1280-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983;67:361–70. 10.1111/j.1600-0447.1983.tb09716.x [DOI] [PubMed] [Google Scholar]
  • 28. de Jong K, Mulhern M, Ford N, et al. The trauma of war in Sierra Leone. Lancet 2000;355:2067–8. 10.1016/S0140-6736(00)02364-3 [DOI] [PubMed] [Google Scholar]
  • 29. Epstein L, Wong KK, Kallen AJ, et al. Port-Ebola signs and symptoms in U.S. survivors. N Engl J Med 2015;373:2484–6. 10.1056/NEJMc1506576 [DOI] [PubMed] [Google Scholar]
  • 30. James PB, Wardle J, Gyasi RM, et al. Health-related quality of life among Ebola survivors in Sierra Leone: the role of socio-demographic, health-related and psycho-social factors. Health Qual Life Outcomes 2022;20:10. 10.1186/s12955-022-01916-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. James PB, Wardle J, Steel A, et al. Post-Ebola psychosocial experiences and coping mechanisms among Ebola survivors: a systematic review. Trop Med Int Health 2019;24:671–91. 10.1111/tmi.13226 [DOI] [PubMed] [Google Scholar]
  • 32. Lötsch F, Schnyder J, Goorhuis A, et al. Neuropsychological long-term sequelae of Ebola virus disease survivors - a systematic review. Travel Med Infect Dis 2017;18:18–23. 10.1016/j.tmaid.2017.05.001 [DOI] [PubMed] [Google Scholar]
  • 33. Delamou A, Camara BS, Kolie JP, et al. Profile and reintegration experience of Ebola survivors in guinea: a cross-sectional study. Trop Med Int Health 2017;22:254–60. 10.1111/tmi.12825 [DOI] [PubMed] [Google Scholar]
  • 34. Chen KY, Li T, Gong FH, et al. Predictors of health-related quality of life and influencing factors for COVID-19 patients, a follow-up at one month. Front Psychiatry 2020;11:668. 10.3389/fpsyt.2020.00668 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Peng EY-C, Lee M-B, Tsai S-T, et al. Population-based post-crisis psychological distress: an example from the SARS outbreak in Taiwan. J Formos Med Assoc 2010;109:524–32. 10.1016/S0929-6646(10)60087-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Sim K, Huak Chan Y, Chong PN, et al. Psychosocial and coping responses within the community health care setting towards a national outbreak of an infectious disease. J Psychosom Res 2010;68:195–202. 10.1016/j.jpsychores.2009.04.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Elizarrarás-Rivas J, Vargas-Mendoza JE, Mayoral-García M, et al. Psychological response of family members of patients hospitalised for influenza A/H1N1 in Oaxaca, Mexico. BMC Psychiatry 2010;10:104. 10.1186/1471-244X-10-104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Davtyan M, Brown B, Folayan MO. Addressing Ebola-related stigma: lessons learned from HIV/AIDS. Glob Health Action 2014;7:26058. 10.3402/gha.v7.26058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Parcesepe A, Tymejczyk O, Remien R, et al. HIV-related stigma, social support, and psychological distress among individuals initiating ART in Ethiopia. AIDS Behav 2018;22:3815–25. 10.1007/s10461-018-2059-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. World Health Organization . Mental health atlas. Geneva: WHO, 2017. [Google Scholar]
  • 41. Gwaikolo WS, Kohrt BA, Cooper JL. Health system preparedness for integration of mental health services in rural Liberia. BMC Health Serv Res 2017;17:508. 10.1186/s12913-017-2447-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Yoder-van den Brink HNC. Reflections on “building back better” child and adolescent mental health care in a low-resource postemergency setting: the case of Sierra Leon. Front Psychiatry 2019;10:758. 10.3389/fpsyt.2019.00758 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. World Health Organization . mhGAP mental health gap action programme: scaling up care for mental, neurological, and substance use disorders. 2016. [PubMed]
  • 44. World Health Organization . Psychological first aid: guide for field workers. 2014.
  • 45. National Academies of Science . Ending discrimination against people with mental and substance use disorders: the evidence for stigma change. Washington: National Academies Press, 2016. [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

bmjgh-2024-015098supp001.pdf (185.2KB, pdf)

Data Availability Statement

Data are available on reasonable request.


Articles from BMJ Global Health are provided here courtesy of BMJ Publishing Group

RESOURCES