Literature DB >> 35110316

Cross-sectional study of mental health and sexual behaviours for Ebola Survivors in Beni, Butembo and Katwa health zones of the Democratic Republic of Congo.

Lynn Lieberman Lawry1, Nancy Stroupe Kannappan2, Covadonga Canteli3, William Clemmer4.   

Abstract

OBJECTIVES: To understand the prevalence of mental health disorders in Ebola-affected communities and their association with condom use.
DESIGN: Cross-sectional study.
SETTING: Beni, Butembo and Katwa health zones, Democratic Republic of Congo (DRC). PARTICIPANTS: 223 adult Ebola survivors, 102 sexual partners and 74 comparison respondents. PRIMARY AND SECONDARY OUTCOME MEASURES: Post-traumatic stress disorder (PTSD), depression, anxiety, substance use, suicidal ideation and attempts, stigma, condom use and sexual behaviour.
RESULTS: Most respondents reported to be married, Christian, from the Nande ethnic group, and farmers/herders. Survivors met symptom criteria for depression at higher rates than partners (23.5% (95% CI 18.0 to 29.1) vs 5.7 (1.2 to 10.1); p<0.001). PTSD symptom criteria for survivors (24.1%, 95% CI 18.5% to 29.7%) and partners (16.7%, 95% CI 9.4% to 23.9%) were four times greater than the comparison participants (6.0%, 95% CI 0.6% to 11.4%). Two times as many survivors as partners reported that sexual activity precautions were discussed at discharge (71.5% (95% CI 65.6 to 77.5) vs 36.2% (95% CI 26.9 to 45.5); p<0.001). The majority of survivors (95.0 (95% CI 85.1% to 98.5%) and partners 98.5% (95% CI 89.6% to 99.8%; p=0.26) participated in risky sexual behaviour after the survivor left the Ebola treatment centre. The ability to refuse sex or insist on condom use before Ebola had a threefold increase in the odds of condom use (adjusted OR 3.3, 95% CI 1.7 to 6.1, p<0.001). Up to 36% of the comparison group held discriminatory views of survivors.
CONCLUSIONS: The new outbreaks in both Guinea and DRC show Ebola remains in semen longer than previously known. Understanding and addressing condom non-use and updating condom use guidelines are necessary to protect against future Ebola outbreaks, especially among sexual partners who did not have similar access to health information regarding sexual transmission of Ebola. Mental health treatment and decreasing stigma in Ebola areas is a priority. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; infectious diseases; public health

Mesh:

Year:  2022        PMID: 35110316      PMCID: PMC8811576          DOI: 10.1136/bmjopen-2021-052306

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This randomly sampled study of adult Ebola survivors represents the entire adult survivor population in Beni, Butembo and Katwa health zones or 52% of all survivors in the 10th Ebola outbreak in the Democratic Republic of Congo. This cross-sectional study assesses how sexual partners, married and unmarried and the community are given information about the sexual transmission of Ebola. The study reveals that the new outbreaks of Ebola can be related to the lack of access to information regarding the sexual transmission of Ebola for partners of survivors, especially if they are unmarried partners. The weighted findings of this study cannot be generalised to the entire population of survivors in other health zones or child survivors. Some outcomes of interest, when stratified by specific categories, had very small sample sizes, potentially affecting the precision of estimates.

Introduction

The Ebola virus disease (EVD), first described in the Democratic Republic of Congo (DRC) in 1976 (then Zaire) occurs regularly throughout West and Central Africa.1 The second largest and longest lasting global outbreak, besides the West African outbreak, occurred in Eastern DRC starting 1 August 2018, and ending, 22 months later, in 25 June 2020.2 There were 2287 deaths reported among 3470 confirmed and probable cases, with an overall case fatality ratio of 66%.2 More than half (57%) of those infected were women due to cultural practices, the role of women as caregivers for sick family members, their roles as healthcare providers and the high rates of gender-based violence in the affected areas.2–4 The EVD epidemic was complicated by the fact that these areas are chronically insecure and largely rural and was also marked by the deaths of healthcare providers, largely due to misinformation, rumours and misunderstandings of EVD.4–7 Post-EVD, psychosocial distress, post-traumatic stress, depression, anxiety, stigma and discrimination among EVD survivors in the West Africa and DRC outbreaks are prevalent and widespread.8–11 After the West African Ebola epidemic, post-Ebola sequela and viral persistence in bodily fluids were documented with EVD re-emergence attributable to sexual transmission by EVD survivors.12 13 Thus, survivors from the Eastern DRC 10th outbreak are followed monthly (until 2022), to include semen or breast milk screening for viral persistence/clearance.2 Further outbreaks, since the 10th outbreak, show sexual transmission of EVD occurs much longer than the previously determined 500 days.14 There is some suggestion, among survivors in West Africa and survivors from the 9th DRC EVD outbreak in Equateur province, that stigma was exacerbated by discrimination of survivors due to the understanding that EVD is sexually transmitted.15 16 Stigma, however, was not associated with mental health among survivors or partners in eastern DRC (10th outbreak).8 Given low rates of condom use at baseline (3%) in DRC and the prolonged risk of re-emergence of EVD from sexual transmission, we performed a cross-sectional study of survivors, their sexual partners and a comparison population in health zones (HZs) of North Kivu province with the highest numbers of survivors relative to other HZs.17 18 A previous publication reviewed the predictors of mental health disorders in this population.8 The intersection of mental health symptoms, stigma and discrimination may impact condom use in EVD-affected populations. This is a concern given that EVD is a sexually transmitted disease, and condom use may limit further infection and recurrent infections. This study aimed to understand if a wider range of mental health disorders (post-traumatic stress disorder (PTSD), depression, anxiety, substance use, suicidal ideation and attempts) and specific symptoms within these disorders are associated with risky sexual behaviours, stigma and condom use among eastern DRC Ebola survivors, their sexual partners and the community. This study is the first to assess mental health symptoms and understand sexual behaviour among Ebola-affected communities (not just survivors).8 These data add to the understanding of the sexual behaviours of communities in EVD outbreak areas and help to make recommendations for prevention of future EVD outbreaks in eastern DRC.

Methods

Survey sites and sample selection

This cross-sectional survey was conducted in February, July and September 2020 in Beni, Butembo and Katwa HZs in North Kivu province of DRC. Sample size was determined by the known prevalence of depression of 0.4.4 The sample size required to estimate that prevalence via a simple random sample, within 0.05 with 95% CI, was 199 survivors. To account for refusals, the targeted sample was a total of 225 survivors to represent the entire population of survivors in target HZs. Male and female EVD survivors were eligible if aged ≥18 years and could present a certificate from the Ebola treatment centre (ETC). Ebola Survivor Association lists, with 427 eligible adult survivors, were used to systematically sample the entire list to reach the desired n=75 per HZ.19 Mabalako HZ was excluded due to insecurity (online supplemental methods). One current sexual partner, identified by the survivor, was surveyed. The target sample size for partners was 225. We were only able to interview 45% (102/225) due to partners being away from households for work, not wanting to participate in a lengthy interview, and/or not wanting to talk about their experiences due to stigma. We attempted to interview a representative number of female survivors (~57%) as they had higher infection rates than men during this outbreak.2 The target sample size for the comparison group was 75 of which 74/75 (99%) were interviewed. In Katwa and Butembo, unmatched comparison interviews were randomly selected within the same villages as the survivor using a random number skip pattern from the survivor household. In Beni HZ, one avenue in each health area and two households were chosen randomly (online supplemental methods). The comparison group was not a survivor and did not have any household members who contracted EVD during the 10th outbreak. This group was surveyed to compare knowledge and attitudes and practices among those with household-level Ebola experiences versus those without such experiences.

Instruments

We used domains, except for EVD-related questions, from instruments previously developed, implemented and validated for DRC to adapt and develop a survey for survivors, their sexual partners and a version for the comparison group.4 8 20 21 The major domains of this survey included demographics, experiences during discharge from the ETC, EVD knowledge, stigma, condom use and risky sexual behaviour.22 Participants self-reported their ethnic group to ensure equal participation and representation in this study. Symptom assessment of mental health was measured by the Hopkins Symptom Checklist (HSCL-25) used to assess symptoms of depression (15 items) and anxiety (10 items) and by the Harvard Trauma Questionnaire (HTQ) to assess PTSD symptoms (16 items).23 24 Both the HSCL-25 and the HTQ have been used internationally and in conflict-affected samples and were previously tested and validated in DRC.25–28 The translated versions of the instruments used for this study have been previously tested and validated in eastern DRC.28 Questions about substance abuse (using illicit drugs or alcohol more than two times per week or to excess each time), suicidal ideation and suicide attempts among respondents were reported as yes or no responses.29 The survey was written in English, translated to Kiswahili, back translated to account for culturally sensitive wording and reviewed for content validity. All questions on the survey were pilot tested to establish clarity of questions and cultural appropriateness.4 20 21

Interviewers

Four local EVD-vaccinated interviewers were trained over 3 days to conduct one-on-one interviews. Interviewers learnt to verbally administer the survey in Kiswahili and Kinande and checked for accuracy by members of the research team. Interviews were conducted anonymously in a setting that offered privacy and confidentiality, typically inside the housing unit or outside away from others to preserve confidentiality. Approved by the ethics review committees, oral rather than written consent was obtained because of the high illiteracy rate and the need for confidentiality. Participants did not receive any material compensation. They were informed that participation or lack thereof would not affect their access to or the quality of the care they receive and were explicitly given the right to refuse participation. Tablets were used to limit data loss and to allow for remote data quality monitoring. The interviewers were supervised throughout the survey period, and data were uploaded at the end of the day and reviewed nightly.

Statistical analysis

XLSTAT and Stata were used to perform the statistical analyses and involved the estimation of weighted population and subpopulation means and percentages. The sample was stratified by three different HZs (Beni, Butembo and Katwa) and equal numbers of survivors, partners and comparisons sampled per HZ. To allow for an approximate probability-proportional-to-size sampling strategy, existing information on HZ population data was provided by DRC, District Health Information Service V.2.0. Data were weighted to account for population differences of each HZ and the numbers of survivors per HZ. Weights were generated for each HZ sampled and by interview groups and applied to estimates (online supplemental tables 1 and 2) Pearson χ2 test or Fisher’s exact was used for categorical variables and two-tailed t tests for continuous variables. An F test was used to determine whether variance could be assumed to be equal. Variable selection for multivariate models was based on previous knowledge of confounding and model specification tests. Differences were considered statistically significant with a p value <0.05. An average HSCL-25 and HTQ score of ≥1.75 was considered predictive of depression (HSCL-25) or clinically significant anxiety (HSCL-25), based on data from other conflict-affected populations.25 27 28 30 31 The HTQ is the most widely used measure for assessing PTSD across postconflict societies of diverse cultural backgrounds.24 26 The PTSD symptoms assessed conform to the three-factor structure (re-experiencing, avoidance/numbing and arousal) of Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision (DSM-IV-TR).24 26 The HTQ has been adapted and translated into multiple languages, being applied to conflict-affected and refugee populations from diverse regions of the world, including DRC where it has been validated.24 26 An average HTQ score of ≥1.75 is considered predictive of PTSD based on data from other conflict-affected populations and among populations in the EVD outbreak areas of DRC.24 26 The reporting of this study conforms to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.

Patient and public involvement

The Ebola Survivor Associations of Beni, Butembo and Katwa were involved in identifying participants and in dissemination of the results.

Results

Characteristics of participants

Most respondents reported to be married, Christian, from the Nande ethnic group, farmers/herders and Kiswahili speakers (table 1). A total of 223 survivors, 102 partners and 74 comparison respondent completed the survey (online supplemental table 3), with overall response rates of 90%–94% (online supplemental table 4). Survivors were more likely to be a widow/widower due to Ebola (12.7%, 95% CI 8.3% to 17.1%; p<0.001) than comparison respondents. The comparison group had the highest rate of never married (30.6%, 95% CI 20.0% to 41.3%; p<0.001). One-fifth of survivors were unemployed/not working (20.2%, 95% CI 14.9% to 25.5%; p<0.001). Survivors and partners were less educated than the comparison group. Survivor households had a 60% decrease in weekly median household income (US$17.57 95% CI US$14.48 to US$20.66; median US$10.00 before EVD; US$8.69 95% CI US$6.80 to US$10.58; median US$4.00 after EVD; p=0.02) from August 2018 to July 2020.
Table 1

Demographic characteristics of the study participants

EVD survivors(n=223)Partners(n=102)Comparison group(n=74)p-value*p-value*
Weighted %(95% CI)Weighted %(95% CI)Weighted %(95% CI)Survivor vs partnerSurvivor vscomparison
Age (years)†35.5 (33.8 to 37.1)33.5 (31.6 to 35.3)38.4 (35.0 to 41.8)0.120.11‡
How long lived in the survey area (years)†20.9 (19.0 to 22.9)18.7 (16.3 to 21.1)19.4 (16.1 to 22.7)0.160.43
Sex, % female58.1 (51.6 to 64.6)43.8 (34.1 to 53.5)46.3 (35.0 to 57.6) 0.02§ 0.08§
Marital status <0.001 <0.001
 Married56.2 (49.7 to 62.7)74.6 (66.2 to 83.0)61.2 (50.0 to 72.5)
 Never married13.9 (9.4 to 18.5)1.8 (0 to 4.4)30.6 (20.0 to 41.3)
 Widowed by Ebola12.7 (8.3 to 17.1)0 (0 to 0)0 (0 to 0)
 Living with partner/unmarried10.3 (6.3 to 14.3)23.6 (15.4 to 31.8)1.3 (0 to 3.9)
 Widowed4.0 (1.4 to 6.5)0 (0 to 0)4.9 (0 to 9.8)
 Divorced/separated1.8 (0.1 to 3.6)0 (0 to 0)1.9 (0 to 5.1)
 Partner left1.1 (0 to 2.4)0 (0 to 0)0 (0 to 0)
Religion
 Christian100.0100.0100.0
Ethnic group0.54 0.03
 Nande91.7 (88.0 to 95.3)96.5 (92.9 to 100.0)85.5 (77.4 to 93.6)
 Other**4.7 (1.9 to 7.5)3.5 (0 to 7.1)4.2 (0 to 8.9)
Parent language0.620.11
 Kiswahili85.5 (80.9 to 90.2)81.3 (73.7 to 88.8)89.4 (82.3 to 96.5)
 Kinande10.0 (6.1 to 14.0)12.9 (6.4 to 19.4)5.4 (0.2 to 10.5)
 Lingala4.4 (1.7 to 7.1)5.8 (1.3 to 10.3)5.2 (0.1 to 10.3)
Occupation 0.03 <0.001
 Farmer/herder23.6 (18.0 to 29.2)22.8 (14.6 to 30.9)15.8 (7.4 to 24.2)
 Other††22.6 (17.1 to 28.1)20.7 (12.9 to 28.6)15.2 (7.0 to 23.5)
 Not working20.2 (14.9 to 25.5)14.3 (7.5 to 21.1)14.3 (6.2 to 22.3)
 Small business19.4 (14.2 to 24.6)15.9 (8.8 to 22.9)15.8 (7.4 to 24.2)
Weekly household income†
 Before Ebola (US$)17.57 (14.48 to 20.66)Median=10.0016.59 (12.25 to 20.92)Median=10.0027.78 (5.72 to 49.85)Median=5.000.720.37
 After Ebola (US$)8.69 (6.80 to 10.58) Median=4.0010.56 (7.89 to 13.24) Median=7.0024.45 (7.64 to 41.27)Median=5.000.270.07
 Change since Ebola (US$)−8.93 (−11.66 to 6.2)Median=−4.50−5.83 (−8.55 to 3.11) Median=0.00−3.09 (−14.4 to 8.23) Median=0.000.090.02 ‡‡
Highest education level attended0.70 0.00
 Primary29.9 (23.9 to 35.9)35.0 (25.8 to 44.3)35.5 (24.5 to 46.5)
 Secondary47.0 (40.5 to 53.6)45.9 (36.3 to 55.6)36.4 (25.3 to 47.4)
 None11.6 (7.4 to 15.8)11.0 (4.9 to 17.0)2.6 (0 to 6.3)
 University11.5 (7.3 to 15.7)8.1 (2.8 to 13.4)25.5 (15.5 to 35.5)
Able to read85.5 (80.9 to 90.2)92.3 (87.1 to 97.5)92.0 (85.6 to 98.2)0.09 0.04
How many living in the household currently†7.2 (6.8 to 7.6)6.9 (6.4 to 7.3)6.7 (6.0 to 7.3)0.270.16
Change in household members since EVD†−0.8 (−1.2 to 0.5)−0.4 (−0.8 to 0.1)−0.5 (−0.9 to 0.1)0.090.18
Number of household members with EVD† (range)1.4 (1.2 to 1.6)1.9 (1.6 to 2.2)0 (0 to 0) 0.00 <0.0001
Number of household members who died from EVD†1.0 (0.8,1.2)0.7 (0.5 to 0.9)0 (0 to 0)0.07 <0.0001

Bold p values indicate statistical significance.

*Categorical variables: Pearson x2 test; continuous variables: two tailed t-test, prior use of an F-test to determine whether variance can be assumed to be equal. Missing values n<1 unless specifically noted.

†Weighted means.

‡P-value is a two-tailed. Both a two-tailed and one-test applied to test for significance. Neither produced a significant result.

§Missing data excluded: survivor n=5, partner n=3.

¶Missing data: survivors n=9, partners n=10, comparisons n=7.

**Includes n<2; Baluba, Boa, Budu, Bunza, Hema, Hemba, Kongo, Lega, Lete, Luba, Lulu, Pere, Tetla, Zimba.

††Other includes n<20 includes construction, modern/traditional healthcare provider; n<10 teacher, tailor, non-governmental organisation (NGO) worker, food service, big business, secretary, sex worker, mechanic, soccer player, hair dresser, military, government worker, housewife, driver, student, security officer, clerical, professional.

‡‡One outlier excluded due to reported weekly household income of 800 US$. The change in income was −300 US$, which was 100 times larger than the group difference of (average) −3.09.

EVD, Ebola virus disease.

Demographic characteristics of the study participants Bold p values indicate statistical significance. *Categorical variables: Pearson x2 test; continuous variables: two tailed t-test, prior use of an F-test to determine whether variance can be assumed to be equal. Missing values n<1 unless specifically noted. †Weighted means. ‡P-value is a two-tailed. Both a two-tailed and one-test applied to test for significance. Neither produced a significant result. §Missing data excluded: survivor n=5, partner n=3. ¶Missing data: survivors n=9, partners n=10, comparisons n=7. **Includes n<2; Baluba, Boa, Budu, Bunza, Hema, Hemba, Kongo, Lega, Lete, Luba, Lulu, Pere, Tetla, Zimba. ††Other includes n<20 includes construction, modern/traditional healthcare provider; n<10 teacher, tailor, non-governmental organisation (NGO) worker, food service, big business, secretary, sex worker, mechanic, soccer player, hair dresser, military, government worker, housewife, driver, student, security officer, clerical, professional. ‡‡One outlier excluded due to reported weekly household income of 800 US$. The change in income was −300 US$, which was 100 times larger than the group difference of (average) −3.09. EVD, Ebola virus disease.

Characteristics of Ebola Treatment Centre discharge

Survivors, on average, were discharged from the ETC 15 months (95% CI 14.5% to 15.6%) prior to the survey (table 2). Although most survivors (98.7%, 95% CI 97.2% to 100.0%) reported that their partners were called to the ETC for discharge discussions, less than two-thirds (64.7%, 95% CI 55.4% to 73.9%) of partners stated they were present for discharge instructions with only a third of never married partners reported being called to the ETC. When asked to recall specific instructions, 78.3% of survivors (95% CI 72.9% to 83.7%) and 49.8% of partners (95% CI 40.1% to 59.5%) stated sexual activity precautions (survivors: 71.5%, 95% CI 65.6% to 77.5%) and partners; 36.2%, 95% CI 26.9% to 45.5%) followed by male condom use. Less than half of survivors (45.2%, 95% CI 38.5% to 51.9%) and partners (35.5%, 95% CI 26.1% to 44.9%) received written discharge instructions.
Table 2

Characteristics of ETC discharge among survivors and partners

EVD survivors (n=223)Partners (n=102)p-value
Weighted %(95% CI)Weighted %(95% CI)
How long since discharge from ETC (number of months)15.0 (14.5 to 15.6)NA
When you/your partner was discharged from the ETC, were you called to the ETC for discussions about his/her/your recovery before discharge?*98.7 (97.2 to 100.0)64.7 (55.4 to 73.9) <0.001
 Married†99.0 (97.5 to 100.0)64.1 (53.3 to 74.9)
 Unmarried, living with partner‡100.0 (100.0 to 100.0)68.9 (50.4 to 87.4)
 Never married§100.00 (100.00 to 100.00)32.53 (0 to 100.0)
Discharge instructions given in a language understood ¶97.9 (95.9 to 99.8)100.0 (100.0 to 100.0)0.26
Specific instructions given at discharge for care of survivor at home**99.2 (98.1 to 100.0)73.2 (64.6 to 81.8) <0.001
 Use of condoms (male)78.3 (72.9 to 83.7)49.8 (40.1 to 59.5) <0.001
 Sexual activity precautions71.5 (65.6 to 77.5)36.2 (26.9 to 45.5) <0.001
 Nutrition20.6 (15.3 to 25.9)13.3 (6.7 to 19.9)0.12
 Fever13.4 (8.9 to 17.8)12.8 (6.4 to 19.3)0.90
 Bleeding11.1 (7.0 to 15.2)7.0 (2.1 to 12.0)0.25
 Body fluid precautions4.3 (1.6 to 6.9)2.4 (0 to 5.3)0.40
 Nausea/diarrhoea2.1 (0.2 to 3.9)1.7 (0 to 4.2)0.81
Written discharge instructions given for home care45.2 (38.5 to 51.9)35.5 (26.1 to 44.9)0.10
Written instructions were in a language understood93.2 (88.2 to 98.3)n=9890.1 (80.3 to 100.0)n=360.55
Able to read the written instructions83.9 (76.3 to 91.5)n=9189.1 (78.2 to 99.9)n=330.48

Bold p values indicate statistical significance.

*Weighted per cent calculated out of total survivor and partner population: survivors n=223, partners n=102.

†Weighted per cent calculated out of married survivors and married partners: survivors n=122, partners n=75.

‡Weighted per cent calculated out of survivors and partners who live with their partner, unmarried: survivors n=24, partners n=25.

§Weighted per cent calculated out of survivors and partners who have not married: survivors n=33, partners n=2.

¶Weighted per cent calculated out of total population who received instructions: survivors n=196, partners n=60.

**Instructions for when to seek medical care.

ETC, Ebola Treatment Centre; EVD, Ebola virus disease; NA, not applicable.

Characteristics of ETC discharge among survivors and partners Bold p values indicate statistical significance. *Weighted per cent calculated out of total survivor and partner population: survivors n=223, partners n=102. †Weighted per cent calculated out of married survivors and married partners: survivors n=122, partners n=75. ‡Weighted per cent calculated out of survivors and partners who live with their partner, unmarried: survivors n=24, partners n=25. §Weighted per cent calculated out of survivors and partners who have not married: survivors n=33, partners n=2. ¶Weighted per cent calculated out of total population who received instructions: survivors n=196, partners n=60. **Instructions for when to seek medical care. ETC, Ebola Treatment Centre; EVD, Ebola virus disease; NA, not applicable.

Mental health

More males (47.2%, 95% CI 40.0% to 54.3%) than females (21.9%, 95% CI 16.3% to 27.6%) and partners (50.8%, 95% CI 41.1% to 60.5%) versus survivors (23.9%, 95% CI 18.3% to 29.5%) reported current substance abuse (table 3). More than four times as many survivors (23.5%, 95% CI 18.0% to 29.1%; p<0.001) met symptom criteria for depression than their partners (5.7 %, 95% CI 1.2% to 10.1%). Cronbach alpha in our sample, for depression, was 0.76. More than two times as many survivors (19.2%, 95% CI 14.0% to 24.3%) met symptom criteria for anxiety when compared with partners (7.6%, 95% CI 2.5% to 12.8%; p=0.01) and the comparison group (8.1%, 95% CI 1.9% to 14.3%; p=0.02). Cronbach alpha in our sample, for anxiety, was 0.90. Survivors had four times the symptom criteria for PTSD (24.1%, 95% CI 18.5% to 29.7%; p=0.001), then partners (16.7%, 95% CI 9.4% to 23.9%) and 2.5 times the symptom criteria of the comparison group (6.0%, 95% CI 0.6% to 11.4%). Cronbach alpha in our sample, for PTSD, was 0.91. Suicide attempts among survivors (7.9%, 95% CI 4.3% to 11.4%) were six times higher than the comparison group.
Table 3

Weighted mental health symptom prevalence of study participants

nSubstance abuseDepressionAnxietyPTSDSuicidal ideationSuicide attempt
Weighted %(95% CI)Weighted %(95% CI)Weighted %(95% CI)Weighted %(95% CI)Weighted %(95% CI)Weighted %(95% CI)
Males18647.2 (40.0 to 54.3)17.6 (12.1 to 23.0)10.1 (5.8 to 14.4)16.8 (11.5 to 22.2)11.6 (6.7 to 16.4)5.3 (2.1 to 8.5)
Females20521.9 (16.3 to 27.6)22.6 (16.9 to 28.4)17.7 (12.5 to 22.9)20.5 (14.9 to 26.0)9.2 (5.2 to 13.2)6.2 (2.9 to 9.6)
p-value <0.001 0.24 0.03 0.430.570.69
Survivors223*23.9 (18.3 to 29.5)23.5 (18.0 to 29.1)19.2 (14.0 to 24.3)24.1 (18.5 to 29.7)11.6 (7.4 to 15.8)7.9 (4.3 to 11.4)
 Males9029.6 (20.3 to 38.9)11.1 (4.7 to 17.5)11.6 (5.1 to 18.2)11.1 (4.7 to 17.5)12.7 (5.9 to 19.5)6.5 (1.4 to 11.6)
 Females12820.3 (13.3 to 27.3)31.6 (23.6 to 39.7)24.1 (16.7 to 31.5)24.5 (17.1 to 32.0)11.0 (5.6 to 16.4)9.0 (4.0 to 14.1)
Partners102†50.8 (41.1 to 60.5)5.7 (1.2 to 10.1)7.6 (2.5 to 12.8)16.7 (9.4 to 23.9)8.4 (3.0 to 13.8)4.7 (0.6 to 8.9)
 Males5678.6 (67.9 to 89.3)5.24 (0 to 11.0)11.8 (3.4 to 20.3)20.2 (9.7 to 30.7)12.1 (3.5 to 20.7)5.3 (0 to 11.3)
 Females4316.0 (5.1 to 26.8)6.4 (0 to 13.7)2.5 (0 to 7.2)12.9 (3.0 to 22.7)4.2 (0 to 10.1)2.8 (0 to 7.7)
p-value (survivor vs partner) <0.001 <0.001 0.01 0.100.400.31
Comparison group7440.1 (28.8 to 51.4)31.5 (21.0 to 42.1)8.1 (1.9 to 14.3)6.0 (0.6 to 11.4)7.4 (0.3 to 14.5)1.3 (0 to 3.9)
 Males4043.3 (27.9 to 58.7)50.2 (34.6 to 65.7)3.9 (0 to 9.8)5.0 (0 to 11.8)4.8 (0 to 14.2)2.4 (0 to 7.1)
 Females3436.2 (19.8 to 52.7)9.9 (0 to 19.9)13.1 (1.8 to 24.3)7.1 (0 to 15.8)9.0 (0 to 18.8)0 (0 to 0)
p-value (survivor vs comparison) 0.01 0.18 0.02 0.00 0.38 0.04

Bold p values indicate statistical significance.

*Sex missing for n=5.

†Sex missing for n=3.

PTSD, post-traumatic stress disorder.

Weighted mental health symptom prevalence of study participants Bold p values indicate statistical significance. *Sex missing for n=5. †Sex missing for n=3. PTSD, post-traumatic stress disorder.

EVD transmission awareness and sexual risk behaviour

All respondents were aware that the virus can persist for 10–16 months in semen. Although comparison respondents included bats/bushmeat as a common cause of EVD, 19% (95% CI 10.1 to 28.0) stated that EVD was brought to the area by the ‘government’ and 14% (95% CI 5.9 to 21.7) by ‘non-governmental organisations’ (online supplemental table 5). Sixteen per cent (16.0% (95% CI 11.2% to 20.8%)) of survivors believed they contacted EVD from the health centre. Across the respondent groups, more than 50% agreed that women have sexual negotiation power and more than 48% agreed that women can refuse to have sex and/or insist on condom use. Condom use at last sexual contact was rare (10%) among comparison respondents and higher (29%) among survivors and partners (table 4). Twenty-one per cent of partners and the comparison group had multiple sexual partners. Disclosure of EVD exposure or infection was not common among survivors and especially partners with multiple partners and those who used commercial sex; however, there was a higher rate of condom use among survivors reporting sex with multiple partners and sex workers. Just over a third of survivor’s partners used condoms when having sex with anyone other than their partner. The majority of survivors and partners participated in high-risk sexual behaviour after the survivor left the ETC (95.0 (95% CI 85.1% to 98.5%), survivors; 98.5% (95% CI 89.6% to 99.8%), partners).
Table 4

Sexual behaviour among study participants

EVD survivors (n=219)Partners(n=100)Comparison group (n=73)p value*p value*
Weighted % (95% CI)Weighted % (95% CI)Weighted % (95% CI)Survivor vs partnerSurvivor vs comparison
Stated sex has changed since EVD†51.0 (44.4 to 57.7)37.0 (27.5 to 46.5)2.7 (0 to 6.5)0.14< 0.001
Sexual negotiation
Agreement that women have sexual negotiation power (n=391)61.0 (54.5 to 67.5) (n=218)61.1 (51.6 to 70.7) (n=100)51.1 (39.6 to 62.7) (n=73)0.640.19
Agreement that women can refuse sex and/or insist on condom use (n=392)67.3 (61.1 to 73.5) (n=219)64.2 (54.8 to 73.6) (n=100)47.7 (36.2, 59.2) (n=73)0.140.01
Before EVD, I/my partner can refuse sex and/or insist on condom use (n=392)17.3 (12.3 to 22.3) (n=219)12.5 (6.0 to 19.0) (n=100)12.5 (4.9,20.1) (n=73)0.450.17
Since EVD, I/my partner can refuse sex and/or insist on condom use55.4 (48.9,62.0) (n=219)64.3 (54.9,73.7) (n=100)10.4 (3.3,17.4) (n=73)0.09< 0.001
Sexual behaviour and condom use
Condom use discussed prior to last sexual contact (n=392)38.3 (31.9 to 45.2) (n=219)46.3 (36.4 to 56.5) (n=100)11.5 (5.7, 21.8) (n=73)0.14<0.001
Have had sex since leaving ETC (n=319)NA<0.0001NA
Yes17.1 (12.1 to 22.5)36.6 (27.2 to 46.1)
No82.9. (78.0 to 87.9)63.4 (53.9 to 72.8)
Condom use at last sexual contact (n=392)29.2 (23.5 to 35.8) (n=217)29.9 (21.6 to 39.8) (n=100)10.1 (4.6 to 21.0) (n=73)0.660.001
Sex with multiple partners‡ (n=392)11.3 (7.1 to 15.5) (n=219)20.9 (12.9 to 28.9) (n=100)20.6 (11.3 to 29.9) (n=73)0.020.05
If yes, condom used75.9 (59.0 to 92.8) (n=23)50.6 (29.2 to 72.0) (n=22)36.5 (9.0 to 63.9) (n=16)0.080.02
EVD status disclosed (n=45)36.9 (17.9 to 55.9) (n=23)5.7 (0 to 15.7) (n=22)NA0.01NA
Sex with anyone other than your partner‡ (n=392)12.1 (8.5 to 17.4) n=21921.6 (15.0 to 31.4) n=10018.7 (11.5 to 30.0) (n=73)0.0060.008
If yes, condom used (n=66)76.1 (55.7 to 89.0) (n=26)37.2 (19.2 to 59.7) (n=24)25.9 (6.8 to 62.3) (n=16)0.0050.003
EVD status disclosed (n=50)35.6 (18.7 to 57.1) (n=26)5.4 (1.2 to 21.5) (n=24)NA0.01NA
Commercial sex (n=392)‡4.4 (2.3 to 8.2) (n=219)10.6 (5.8 to 18.6) (n=100)7.9 (3.5 to 16.9) (n=73)0.030.11
Condom used (n=28)62.5 (27.7 to 87.9) (n=10)55.9 (25.3 to 82.5) (n=11)34.7 (7.1 to 78.7) (n=7)0.470.09
EVD status disclosed (n=21)57.5 (24.4 to 85.0) (n=10)17.4 (3.5 to 55.1) (n=11)NA0.04NA
High risk sexual behaviour§ (n=78)95.0 (85.1 to 98.5) (n=37)98.5 (89.6 to 99.8) (n=41)NA0.26NA

Missing data: survivors n=70, partners n=43, comparison n=41.

*Wald test.

†'Before/since EVD’ refers to before epidemic started (before August 2018), since EVD refers to after August 2018.

‡For the comparison group, ‘since/after EVD’ refers to since/after EVD epidemic started (August 2018). For survivors, since discharge from the ETC and for comparisons, since the EVD epidemic started (August 2018).

§Components of risk: Applicable for survivors and partners only; Since leaving the ETC (i) had sex since leaving the ETC, but did not use a condom at last sexual contact, (ii) had sex with anyone other than your partner and not using a condom or (iii) no condom use with multiple partners; or (iv) no condom use during commercial sex.

ETC, Ebola Treatment Centre; EVD, Ebola virus disease; NA, not applicable.

Sexual behaviour among study participants Missing data: survivors n=70, partners n=43, comparison n=41. *Wald test. †'Before/since EVD’ refers to before epidemic started (before August 2018), since EVD refers to after August 2018. ‡For the comparison group, ‘since/after EVD’ refers to since/after EVD epidemic started (August 2018). For survivors, since discharge from the ETC and for comparisons, since the EVD epidemic started (August 2018). §Components of risk: Applicable for survivors and partners only; Since leaving the ETC (i) had sex since leaving the ETC, but did not use a condom at last sexual contact, (ii) had sex with anyone other than your partner and not using a condom or (iii) no condom use with multiple partners; or (iv) no condom use during commercial sex. ETC, Ebola Treatment Centre; EVD, Ebola virus disease; NA, not applicable. In bivariate analyses, there was no significant association between condom use and depression, PTSD, anxiety, suicidal ideation, suicide attempts, substance use, age, education level, fear of EVD or knowledge of EVD transmission. Nor were there any significant associations among specific symptoms on the HSCL-25 and the HTQ with condom use (online supplemental table 6). However, survivors and partners had a fourfold greater odds of condom use (table 5). After adjusting for sex, age, education level, fear of Ebola, Ebola knowledge and marriage status, those persons stating they or their partner were able to refuse sex or insist on condom use before Ebola had more than three times the odds of condom use than those stating they or their partner could not refuse sex or insist on a condom before Ebola (adjusted OR 3.3, 95% CI 1.7 to 6.1, p<0.001). Due to the small number of people who used condoms and reported they could not refuse sex or insist on condoms since Ebola (n=8), the ability to refuse sex or insist on condom use since Ebola was not included in the multivariate model.
Table 5

Significant associations of condom use with characteristics of the study sample

Characteristicn (%)Prevalence of condom use at last sexual contact* % (95% CI)Crude OR(95% CI)aOR†(95% CI)p value‡
Population group (n=399)
Survivor213 (55.9)29.2 (23.5 to 35.8)3.9 (1.7 to 9.0)4.0 (1.7 to 9.5)0.002
Partner100 (25.6)29.9 (21.6 to 39.8)4.4 (1.8 to 10.7)4.3 (1.7 to 10.9)0.002
Comparison73 (18.5)10.1 (4.6 to 21.0)1.0
I/my partner can refuse sex or insist on condom use before Ebola372 (16.7)25.7 (21.2 to 30.8)3.0 (1.7 to 5.4)3.3 (1.7 to 6.1)<0.001

*Unweighted.

†Adjusted for sex, age, education level, fear of Ebola, Ebola knowledge and marriage status.

‡Wald test.

Significant associations of condom use with characteristics of the study sample *Unweighted. †Adjusted for sex, age, education level, fear of Ebola, Ebola knowledge and marriage status. ‡Wald test.

Stigma, discrimination and survivor community reintegration

More than one-quarter of survivors stated that they were stigmatised by healthcare workers, while 20% of the comparison group stated that they would not want a healthcare provider who survived EVD to continue seeing patients (figure 1). And although only 16% of the comparisons stated EVD survivors are stigmatised by the community, when asked more contextualised questions about community activities such as church, weddings, meetings and shopping for food, 23%–36% stated survivors were not welcome in these activities. Among survivors, 20% stated that they were not accepted by their families, which was consistent among the comparison group who were not willing to care for a family member with EVD (16.5%, 95% CI 8.0% to 25.1%) and would prefer that EVD status of a family member remains a secret (24.0%, 95% CI 11.4% to 30.6%). Stigma was not associated with condom use (online supplemental table 6).
Figure 1

Stigmatisationof EVD survivors. EVD, EVD, Ebola virus disease.

Stigmatisationof EVD survivors. EVD, EVD, Ebola virus disease.

Discussion

Post-ETC discharge

More than a year after discharge, 20% of survivors were unemployed/not working, which may explain the 60% drop in weekly household income. Food and nutritional assistance for survivors ended 1 year postdischarge from the ETC leaving survivors putting their families at risk for food insecurity.32 33 The baseline food insecurity in the outbreak areas, lack of employment and decrease in household income, particularly of survivors, require an assessment to determine a more realistic length of food and nutrition assistance for survivors and their families. Furthermore, meeting basic needs is a necessary step for improving mental health as ‘psychological first aid’.34 Whereas unmarried partners living with survivors are considered common-law marriage, survivors may not have disclosed sexual partners not living with them due to perceived immorality of premarital sex in DRC.35 36 Sexual partners, excluded from discharge instructions, would not have benefited from discussions about condom use. This poses difficulty in EVD containment given that sexual transmission of EVD can be up to 5 years postrecovery.12–14 Given the poor mental health at baseline in these postconflict/insecure outbreak areas, targeted prevention messaging must take into account past human rights violations, subsequent trauma and the possible retraumatisation due to fear and death during an outbreak of EVD to effectively prevent subsequent outbreaks.4 8 11 37 38 Although, in eastern DRC, it is impossible to attribute Ebola as the cause of the higher rates of mental health disorders among survivors, retraumatisation from fear and death around survivors and their families could exacerbate baseline symptoms of PTSD, which become socially disabling and contributed to the higher suicide attempt rates among survivors.4 8 9 11 37 Without long-term culturally contextualised trauma-informed models of mental healthcare and psychosocial support programmes for survivors and partners, a much longer and sustained approach to address psychosocial consequences of EVD, including supplying basic needs, will be necessary.8 9 37 39 The high rates of substance abuse and depression among all respondents suggest that mental health access is necessary for the entire community. Our rates are consistent with other studies of mental health disorders among survivors, but we include a broader survey of disorders and assess these same disorders among sexual partners of survivors and a comparison sample among community members.4 8–11 16 20 21 It should also be noted that it is difficult to compare mental health symptoms in eastern DRC to those described in other DRC EVD outbreak areas due to the unique context of long-term conflict and insecurity seen in eastern DRC.8 16 Although survivors are offered psychological support at monthly follow-up appointments, lay counsellors, already trained in cognitive processing therapy, could be helpful to this population of survivors, sexual partners and the community in addressing mental health disorders.8 11 28 39–41

Risky sexual behaviour

Known factors for risky sexual behaviours include age, poverty, violence, substance abuse, poor access to healthcare, stigma, mental health disorders (especially PTSD) and recent conflict—all factors are documented in the EVD survey areas but are not associated with condom use or risky sexual behaviour in this survey population.4 37 38 42 43 These factors may create a greater likelihood of risky sexual behaviour that can prolong and perpetuate the epidemic.42 43 Previous data have shown that women’s ability to negotiate sex and condom use in the survey areas is limited.4 Among this study sample, the prevalence of survivors and partners who agreed that women have sexual negotiation power was likely driven by fear of contracting EVD and possibly by the increased case and fatality rates among women.44 Since the West Africa EVD outbreak, the sexual transmission of EVD changed condom use advice for survivors and partners.12 13 17 45 However, the use of condoms was limited among survivors and partners and especially the comparison sample.46 47 The high rates of risky sexual behaviour among survivors and partners and lack of disclosure of EVD exposure among those with multiple partners and those who frequented commercial sex create a significant risk for EVD resurgence and spread.12 14 The lack of messaging among the community regarding sexual transmission of EVD may help explain the risky sexual behaviours among the comparison group.40 46 47 Furthermore, a large proportion of unmarried partners was not included in discussions of EVD sexual transmission risk at the time of discharge. Female partners, not present at discharge, would be unlikely to know that condom use is life saving and negotiation for use, imperative.48 49

Stigma and community reintegration

Mental health symptoms, especially depression, both exacerbate stigma and are exacerbated by stigmatisation.9 38 Despite sensitisation efforts to decrease stigma among communities in outbreak areas, the prevalence of fear-based stigma, not unlike other studies, will likely impede the quality of care and access to necessary post-EVD mental healthcare and perpetuate the spread of EVD.8 16 37 38 40 50 51 Access to care will be an important factor for educating survivors and partners about data showing long-term sexual transmission of EVD.12 14 As in other studies of EVD survivors, pervasive self-reported stigma led to societal exclusion for themselves and family members and was likely exacerbated by the new sexually transmitted cases of EVD reported in Guinea.14 50 51 In outbreak areas, the use of innovative sustainable community led and financed approaches such as Champion Communities or Noyaux Communitaire already used in DRC, would help engage community members in decreasing stigma and subsequently their health and mental health.52 53

Limitations

The weighted findings of this study represent the adult survivor populations in Beni, Butembo and Katwa HZs and cannot be generalised to the entire population of survivors in other HZs or child survivors. The sample weights are based on population estimates and therefore may introduce bias given, there is no recent census data to rely on.54 Interviewers explained that there would be no material gain by participation in the study. Certain sexual behaviours (eg, use of sex workers) and mental health symptoms may be underreported due to social norms that prevent them from being discussed openly. Respondents may have underestimated or exaggerated responses if they thought it would be in their interest to do so. The mental health instruments used do not substitute for clinician diagnosis. The cross-sectional design of this study allows for the determination of population characteristics but not causality. Additionally, small sample sizes after stratification limited the analyses that could be performed for associations between some predictors and outcomes.

Conclusions and implications for practice

These findings have direct application for the care of EVD survivors and their families and EVD prevention efforts.8 55 56 An assessment of condom use guidelines and discharge instructions are necessary to protect against future EVD outbreaks, especially among sexual partners who did not have similar access to health information regarding the sexual transmission of EVD and new evidence that EVD remains in body fluids for longer than previously understood.12–14 57 This guidance needs to come from the WHO and at the country level. All sexual partners, married or unmarried, must be included in discussions at discharge from ETCs to ensure that partners are informed about the sexual transmission of EVD and help survivors and partners understand what constitutes risky sexual behaviour. Risk communication campaigns and condom use messaging during the epidemic targeted survivor men and did not empower partner women to insist on condom use and need a change to include messages to partners, building women’s empowerment and decreasing risk among community members.40 Behaviour change communication must also emphasise partner notification to limit sexual transmission of EVD. Furthermore, non-partners such as sex workers are at a higher risk for Ebola as few if any survivors informed them of their EVD infection.40 The ability to insist on condom use would prevent further infection transmission.48 49 Condom use, including barriers and facilitators to use, in EVD-affected populations in eastern DRC needs to be studied further using mixed methods. Given the fear and mistrust in outbreak areas (96% of the sample feared Ebola), community led groups will be essential in addressing continued stigma, mental health, dispelling myths, creating positive norms and attitudes and supplying basic needs for survivors.7 8 15 16 41 50–53 55–58 Finally, WHO and countries affected by EVD need contextualised messaging. Fear-based messaging was common during the 10th epidemic, which influenced the beliefs of where the virus originated, how people were infected and changed behaviour such as immunising children.7 8 58 Addressing myths and censoring those who perpetrate myths would go a long way to ensuring information is evidence-based.7 58 Creating positive societal norms such as improving women’s empowerment for asking for condom use and/or refusing sex would be important as a preventive measure to ensure that future outbreaks are limited given the strong association between positive norms and condom use in this population. Although risk-based campaigns have limited effectiveness, in specific instances, where acquiring an untreatable and ultimately fatal disease is likely, such campaigns may influence sexual behaviour and limit spread.9 37 38 59 60 However, it will be important to make sure that these campaigns do not further stigmatise survivors and their families.9 15 16 50 51 Finally, understanding and acknowledging the prevalence and cause of fear in outbreak areas, diminishing misinformation and harnessing that fear for action that has public health relevance will be an important step in limiting future outbreaks.9 37 38 58–60
  30 in total

1.  Prevalence of mental health problems in populations affected by the Ebola virus disease: A systematic review and meta-analysis.

Authors:  Jude Mary Cénat; Nereah Felix; Camille Blais-Rochette; Cécile Rousseau; Jacqueline Bukaka; Daniel Derivois; Pari-Gole Noorishad; Jean-Pierre Birangui
Journal:  Psychiatry Res       Date:  2020-04-29       Impact factor: 3.222

2.  Predictors of AIDS knowledge, condom use and high-risk sexual behaviour among women in Dar-es-Salaam, Tanzania.

Authors:  S H Kapiga; G K Lwihula; J F Shao; D J Hunter
Journal:  Int J STD AIDS       Date:  1995 May-Jun       Impact factor: 1.359

3.  Depressive disorders and unprotected casual anal sex among Australian homosexually active men in primary care.

Authors:  G Rogers; M Curry; J Oddy; N Pratt; J Beilby; D Wilkinson
Journal:  HIV Med       Date:  2003-07       Impact factor: 3.180

4.  Mental health of female survivors of human trafficking in Nepal.

Authors:  Atsuro Tsutsumi; Takashi Izutsu; Amod K Poudyal; Seika Kato; Eiji Marui
Journal:  Soc Sci Med       Date:  2008-02-14       Impact factor: 4.634

5.  The Hopkins Symptom Checklist-25 in screening DSM-III-R axis-I disorders.

Authors:  Juha Veijola; Jari Jokelainen; Kristian Läksy; Liisa Kantojärvi; Pirkko Kokkonen; Marjo-Riitta Järvelin; Matti Joukamaa
Journal:  Nord J Psychiatry       Date:  2003       Impact factor: 2.202

6.  Indochinese versions of the Hopkins Symptom Checklist-25: a screening instrument for the psychiatric care of refugees.

Authors:  R F Mollica; G Wyshak; D de Marneffe; F Khuon; J Lavelle
Journal:  Am J Psychiatry       Date:  1987-04       Impact factor: 18.112

7.  Trust, fear, stigma and disruptions: community perceptions and experiences during periods of low but ongoing transmission of Ebola virus disease in Sierra Leone, 2015.

Authors:  Azizeh Nuriddin; Mohamed F Jalloh; Erika Meyer; Rebecca Bunnell; Franklin A Bio; Mohammad B Jalloh; Paul Sengeh; Kathy M Hageman; Dianna D Carroll; Lansana Conteh; Oliver Morgan
Journal:  BMJ Glob Health       Date:  2018-04-01

8.  Fear and culture: contextualising mental health impact of the 2014-2016 Ebola epidemic in West Africa.

Authors:  Ann O'Leary; Mohamed F Jalloh; Yuval Neria
Journal:  BMJ Glob Health       Date:  2018-06-22

9.  PTSD, depression and anxiety in Ebola virus disease survivors in Beni town, Democratic Republic of the Congo.

Authors:  Célestin Kaputu-Kalala-Malu; Eric Mafuta Musalu; Tim Walker; Olga Ntumba-Tshitenge; Steve Ahuka-Mundeke
Journal:  BMC Psychiatry       Date:  2021-07-08       Impact factor: 3.630

10.  Associations between Mental Health and Ebola-Related Health Behaviors: A Regionally Representative Cross-sectional Survey in Post-conflict Sierra Leone.

Authors:  Theresa S Betancourt; Robert T Brennan; Patrick Vinck; Tyler J VanderWeele; Dayo Spencer-Walters; Joshua Jeong; Adeyinka M Akinsulure-Smith; Phuong Pham
Journal:  PLoS Med       Date:  2016-08-09       Impact factor: 11.069

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