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BMJ Global Health logoLink to BMJ Global Health
. 2021 Mar 31;6(3):e003644. doi: 10.1136/bmjgh-2020-003644

The impact of care environment on the mental health of orphaned, separated and street-connected children and adolescents in western Kenya: a prospective cohort analysis

Felicita Omari 1, Stavroula A Chrysanthopoulou 2, Lonnie E Embleton 3, Lukoye Atwoli 4, David O Ayuku 5, Edwin Sang 6, Paula Braitstein 3,
PMCID: PMC8016077  PMID: 33789867

Abstract

Introduction

The effect of care environment on orphaned and separated children and adolescents’ (OSCA) mental health is not well characterised in sub-Saharan Africa. We compared the risk of incident post-traumatic stress disorder (PTSD), depression, anxiety and suicidality among OSCA living in Charitable Children’s Institutions (CCIs), family-based care (FBC) and street-connected children and youth (SCY).

Methods

This prospective cohort followed up OSCA from 300 randomly selected households (FBC), 19 CCIs and 100 SCY in western Kenya from 2009 to 2019. Annual data were collected through standardised assessments. We fit survival regression models to investigate the association between care environment and mental health diagnoses.

Results

The analysis included 1931 participants: 1069 in FBC, 783 in CCIs and 79 SCY. At baseline, 1004 participants (52%) were male with a mean age (SD) of 13 years (2.37); 54% were double orphans. In adjusted analysis (adjusted HR, AHR), OSCA in CCIs were significantly less likely to be diagnosed with PTSD (AHR 0.69, 95% CI 0.49 to 0.97), depression (AHR 0.48 95% CI 0.24 to 0.97), anxiety (AHR 0.56, 95% CI 0.45 to 0.68) and suicidality (AHR 0.73, 95% CI 0.56 to 0.95) compared with those in FBC. SCY were significantly more likely to be diagnosed with PTSD (AHR 4.52, 95% CI 4.10 to 4.97), depression (AHR 4.72, 95% CI 3.12 to 7.15), anxiety (AHR 4.71, 95% CI 1.56 to 14.26) and suicidality (AHR 3.10, 95% CI 2.14 to 4.48) compared with those in FBC.

Conclusion

OSCA living in CCIs in this setting were significantly less likely to have incident mental illness, while SCY were significantly more, compared with OSCA in FBC.

Keywords: child health, epidemiology, health policy, mental health & psychiatry, public health


Key questions.

What is already known?

  • Evidence, largely from higher-income settings such as Eastern Europe, has consistently demonstrated deficits and delays in physical growth, psychological health, and cognitive and developmental outcomes in children living in institutional care, leading international researchers and organisations to advocate for a global policy of deinstitutionalisation.

  • In many resource-constrained settings, alternative care options are limited: the adoption and foster care systems remain underdeveloped, while repatriation to a child’s extended family may be unsafe or impossible because it is unknown.

  • There is a lack of rigorous evidence from low-income and middle-income countries, and in particular sub-Saharan Africa, about the mental health and well-being of orphaned and separated (those semi-permanently or permanently separated from their biological parents) children living in institutional care compared with those in family-based and other care environments such as on the street.

Key questions.

What are the new findings?

  • To our knowledge, this is the first prospective cohort to compare mental health outcomes over 10 years among a large sample of orphaned and separated children and adolescents (OSCA) living in three different care environments—institutional care (i.e., orphanages), family-based care (FBC) and self-care on the streets in sub-Saharan Africa.

  • It provides contextually relevant, rigorous evidence about the effect of care environment on OSCA’s mental health over time.

  • This study found that OSCA in Uasin Gishu County, Kenya, experience a substantial burden of potentially traumatic events in all care environments, and that OSCA living in institutional care were considerably less likely to experience a diagnosis of post-traumatic stress disorder (PTSD), depression, anxiety or suicidality during study follow-up compared with those in FBC, while children and adolescents in self-care on the streets were significantly more likely to be diagnosed with any of the mental health outcomes at any time during study follow-up than those in FBC.

  • Our findings indicate that even when examining factors such as social support, basic material possessions, importance of religion and time in nature, which potentially confound the relationship between care environment and mental health, OSCA in institutional care remain significantly less likely to be diagnosed with depression, anxiety and suicidality during study follow-up in comparison to OSCA in FBC.

What do the new findings imply?

  • There is a substantial burden of potentially traumatic events and mental health disorders among OSCA in all care environments examined and community mental health supports for OSCA are urgently needed.

  • In order for safe and effective deinstitutionalisation to be implemented at scale, child protection systems need urgently to be strengthened alongside greater investments in evidence-based family supports that improve child and adolescent mental health.

Introduction

Undergoing one or more potentially traumatic events (PTEs) in childhood, such as the loss of one or both parents, has been associated with mental health morbidities.1 2 Orphaned and separated (those semipermanently or permanently separated from their biological parents) children and adolescents (OSCA) in sub-Saharan Africa experience multiple PTEs2–4 and have substantial mental health issues.2 4–7 Africa is home to 52 million single or double orphans.8 Although the majority of OSCA are cared for by a surviving parent or extended family,8 the large number of children requiring care on the subcontinent led to the proliferation of institutional care (eg, orphanages, rescue centres). Recent research estimates that 650 000 to 1.38 million OSCA live in institutional care in sub-Saharan Africa,9 building on the previous estimate that 286 000 children in eastern and southern Africa were living outside of a family-based setting.10

The appropriateness of institutional care for OSCA has been challenged as evidence indicates clear unfavourable short-term and long-term physical and mental health outcomes among many children living in these environments.11 12 Studies have demonstrated deficits and delays in physical growth, psychological health, and cognitive and developmental outcomes in children living in institutional care. As a result of this evidence, international organisations, backed by influential donors and foundations, have advocated for a global policy of deinstitutionalisation.10 11 13 A large proportion of studies supporting this policy have originated in Eastern Europe, where institutions were particularly socially and emotionally deprived environments, with relatively few from sub-Saharan Africa and other low-income and middle-income countries (LMICs).11 12 Traditionally, and still today, extended families care for the overwhelming majority of OSCA in sub-Saharan Africa. Yet, this region has had the highest dependency ratios (the number of children ≤15 years and adults ≥65 per 100 persons of working age) globally for decades and they continue to rise among African households.14 15 Sub-Saharan Africa also now has the largest population of people living in extreme poverty, and the World Bank projects that 87% of the world’s poorest are expected to live in sub-Saharan Africa by 2030.16 As a result, there is a growing discourse about whether and how institutions might have a ‘safety net’ role in LMICs when other care options may be unsafe or unavailable.17 18 Contextually relevant, rigorous and longitudinal evidence is needed to inform safe and effective deinstitutionalisation policies and interventions, and ensure the best interests of OSCA are being upheld.

Relatively few studies comparatively explore the relationship between care environment and mental health among OSCA in sub-Saharan Africa.4 19–23 These have generally been cross-sectional, qualitative or with relatively small or selective samples, such as only by children orphaned from HIV/AIDS. In general, they provide some indication that children in institutional care may have better, or at least not poorer mental health, than their counterparts in other care environments. Based on this very limited evidence, it remains unclear whether over time OSCA living in institutional care experience more mental health morbidities than those in family-based care, and how OSCA in self-care on the streets, a highly marginalised and largely overlooked population, compare to their counterparts in family-based care (FBC). Further, minimal research to date has examined factors that might mediate or confound the effect between care environment and mental health outcomes for this population, which is critical to identifying targets for intervention development and testing.22

This prospective cohort sought to compare the incidence of probable diagnoses of post-traumatic stress disorder (PTSD), depression, anxiety and suicidality between OSCA living in institutional care, street-connected children and youth (SCY), and those in FBC in one county of western Kenya over almost 10 years, while controlling for known risk and protective factors. Our primary hypothesis was that children living in institutions would have worse mental health over time compared with children in family-based settings. Second, we sought to test whether the relationship between care environment and mental health outcomes remained after adjusting for social support, having basic material possessions, feeling religion is important in one’s life, participation in sports and time spent in nature.

Methods

Study design and participants

The Orphaned and Separated Children’s Assessments Related to their (OSCAR’s) Health and Well-Being Project is a two-phase longitudinal cohort investigating the effects of care environment on the physical and psychosocial well-being of OSCA in Uasin Gishu (UG) County, Kenya. Phase 1 ran from 2010 to 2015 and Phase 2 ran from 2016 to 2019. The study enrolled participants aged 18 years or less from May 2010 to April 2013. The OSCAR cohort comprises participants from communities within eight administrative locations in UG County and includes 300 randomly selected households caring for OSCA (FBC), 19 Charitable Children’s Institutions (CCIs) (institutional care) (of 21 in the county at the time of study start-up) and a convenience sample of 100 street-connected children and youth (SCY) in ‘self-care’ on the streets. Children were eligible to participate in the study if they were resident of the care environment at the time, irrespective of orphan status (non-orphaned children were included in order to reduce the risk of stigma against orphans and to provide a small, nested comparator group of non-orphaned children in these same environments), and irrespective of the cause of orphanhood (ie, HIV and all other causes). The present analysis included participants with at least one follow-up visit with a psychosocial assessment. In-depth details about the OSCAR cohort’s study design, setting and recruitment have been previously reported.24

Human subjects’ protections

This study conforms to the principles embodied in the Declaration of Helsinki. Written informed consent for participation was provided by the head of household, Director of the CCI, or in the case of SCY, by the District (now County) Children’s Officer. Individual written informed assent was provided by each child aged 7 years and above. Fingerprints were used for both children and guardians who were unable to sign or write their name.

Patient and public involvement in research

This study used community-based, participatory processes to inform the research questions, hypotheses and methods, detailed elsewhere.24 To summarise briefly, the Children’s Officers in the region and representatives from CCIs were initially consulted prior to the funding application. They were requested to provide input as to whether such a study would be important from their perspective, and what their priority questions and concerns were. In addition, traditional community assemblies were held in some of the target communities to identify community concerns and priorities with respect to the care of orphaned and vulnerable children. These assemblies were also held following the initiation of the study to maintain regular contact with the community and disseminate findings. We formed an Advisory Board early on, consisting of representatives from communities, CCIs and Children’s Officers, and this board met regularly throughout the life of the study. Our study disseminated findings through the monthly Uasin Gishu Children’s Services Forum, through additional traditional community assemblies and through the study website (https://www.oscarcohort.comhttps://www.oscarcohort.com).

Procedures

Data collection processes were conducted in situ at CCIs and at the OSCAR Project clinic for participants from households and SCY. Annually (semiannually for SCY), participants completed a standardised clinical encounter and those ≥10 years of age also completed a psychosocial encounter. The clinical encounter was an enhanced well-child ‘check-up’ that included a complete physical history and review of health symptoms. The psychosocial encounter measured education and employment, material well-being, behaviours and risks, peer and family relationships, and mental health. The psychosocial assessment was self-administered for those who could read and write, or psychologist-administered for those that could not adequately read or write. In OSCAR Phase 2, two versions of the psychosocial encounter were employed: one for adolescents aged 10–17 years and one for young adults (≥18 years of age) using age-appropriate validated scales and tools to assess PTEs and mental health outcomes. A clinical psychologist was always available during the assessments to assist in case of questions, lack of understanding or distress. Follow-up of cases requiring individual counselling or social work took place on a case-by-case basis as needed, by study staff.

Independent variables

The primary exposure of interest was care environment (institutional, family-based or street-based), determined by a participant’s living circumstances at enrolment.21 Separated children were defined as those whose biological mother or father was potentially alive, but functionally not part of the child’s life. Sociodemographic characteristics, ascertained through the clinical encounter, included age, sex, orphan/separated status (maternal, paternal, both or neither, in the case of non-orphaned children living in these environments), HIV status (positive, negative, unknown) and time living with caregiver at baseline (<6 months, 6–2 years, 2–5 years, >5 years, all the child’s life). PTEs (physical abuse, sexual abuse, emotional abuse and bullying) were ascertained through the psychosocial encounters. PTEs for those less than 18 years of age were ascertained using the Child Abuse Screening Tool for Children at Home (ICAST-CH) which measures violence against children.25 The OSCAR study used 11 questions from ICAST-CH based on extensive consultations with Kenyan psychiatrists, psychologists and paediatricians. There were four questions specific to the emotional domain, three to the physical abuse domain and four questions specific to sexual abuse domain. For all questions, responses took on four levels and included ‘Never’, ‘Sometimes’, ‘Many times’ and ‘Not in the past 6 months, but this has happened’. For participants age ≥18, a history of emotional, sexual and physical abuse was assessed using the Childhood Trauma Questionnaire (CTQ) through a five-item subscale: emotional, sexual, and physical abuse, emotional, and physical neglect, as well as three-item subscale to screen for false-negative trauma reports.26–28 For all participants, bullying was measured using the eight items from Strengths and Difficulties Questionnaire,29 30 one item from the Social and Health Assessment Peer Victimisation Scale,31 and one question regarding bullying due to orphan status developed by the research team. If participants answered yes to any of these items, a participant was categorised as having experienced bullying. For this analysis, we dichotomised (yes/no) the PTE variables to capture any history of physical abuse, sexual abuse, emotional abuse or bullying at baseline and at each follow-up.

Hypothesised factors that may mediate or confound the relationship between care environment and mental health outcomes included: social support (continuous score measured using the 12-item Multidimensional Scale of Perceived Social Support),32 33 importance of religion in a participant’s life, having basic material possessions (shoes, blanket and at least two pairs of non-school clothes),34 participation in sports and spending time in nature. These factors were measured only on the psychosocial encounter administered to participants 10–17 years of age in OSCAR Phase 2, with the exception of ‘importance of religion’ that was measured in Phase 1 and Phase 2. They assessed these issues currently and are not able to establish temporality with regard to which came first, care environment, outcome or the third factor. We tested whether there were major differences between these factors and outcomes of interest, and differences between these factors and care environment, and concluded that it would be most appropriate to treat them as potential confounding variables.

Mental health outcomes

Depression for participants aged 10–17 years was measured with the Child Depression Inventory Short-Form (CDI-SF) with questions specific to the past 2 weeks.35 36 In order to approximate a Diagnostic and Statistical Manual (DSM)-IV Test Revision (TR) diagnosis of depression, scores were summed and a cut-off point of 8 was used to determine probable presence of depression in childhood.37 Depression for participants ≥18 years of age was measured using the Patient Health Questionnaire (PHQ)-9 (Depression) on a four-point Likert scale. Presence of probable depression in those ≥18 years was diagnosed if a participant scored at least 2 (more than half the day) on two or more of the eight items, of which one had to be either item 1 or 2, consistent with the DSM-IV TR criteria.37–39 Adolescent post-traumatic stress was measured using Amaya-Jackson’s ‘Child PTSD Checklist’, a 28-item scale derived from the DSM-IV criteria, which uses a four-point Likert severity scale.40 41 Participants were asked to imagine their worst trauma, and a diagnosis of probable PTSD in adolescents occurred when participants reported currently meeting three diagnostic criteria as indicated by the DSM-IV TR: re-experiencing of the event (a score of 2 or more on any of items 1–5, 10, 11, 14), avoidance symptoms (a score of 2 or more on any three of items 7–9, 12, 13, 22, 25, 28) and arousal symptoms (a score of 2 or more on any two of items 15–21).37 Post-traumatic stress in young adults was measured using the Post-Traumatic Diagnostic Scale (PDS). A diagnosis of probable PTSD in young adults occurred when participants met the same three diagnostic criteria: re-experiencing of the event (a score of 1 or more on items 1–5), avoidance symptoms (a score of at least 3 or more on items 6–12) and arousal symptoms (a score of at least 2 of items 13–17).42 43 Suicidality was measured in adolescents using one question from the CDI-SF scale to ascertain whether they had any suicidal ideation or attempt within the previous 2 weeks. The variable was categorised as no suicidality, suicidal ideation, and suicidal intent, and dichotomised as suicidality (yes/no) in this analysis by combining ideation and intent. Adult suicidality was measured using the PHQ-9 (Suicidality).44–46 A diagnosis of suicidality for adults occurred when a participant scored 1 or above. Adolescent anxiety was measured using the 28-item Revised Children’s Manifest Anxiety Scale (R-CMAS).47 Participants were asked about current thoughts and feelings. A cut-off of 19 was used determine presence of probable anxiety based on the participants score on the R-CMAS.

Statistical analysis

We report mean values and SD or frequencies and percentages for continuous and categorical characteristics, respectively, overall and by care environment. We conducted survival analysis to assess the impact of care environment on four probable diagnostic events: (1) PTSD, (2) depression, (3) anxiety and (4) suicidality. We implemented approaches for recurrent events to account for the fact that individuals may have experienced the events of interest more than once during study follow-up. Time zero was either enrolment into the study or the first visit after the child turned 10 years. For each diagnostic outcome, we present overall survival by care environment using Kaplan-Meier estimates of the cumulative incidence. We use the Prentice-Williams-Peterson (PWP) conditional survival model for recurrent events to evaluate unadjusted and adjusted effects of care environment on each of the four diagnostic outcomes. Adjustment variables were for age, sex, orphan status, length of time in care environment, PTSD/depression/anxiety/suicidality at baseline, emotional/physical/sexual abuse at baseline and during follow-up, bullied at baseline and during follow-up, and clustering by household/institution. The PWP model is a Cox-extended survival model accounting for clustering due to within-subject correlation and stratifying on the order in which the recurrent events occurred. Robust SEs for the model estimates were calculated to also adjust for clustering by care environment. Results from models are presented as HRs with 95% CIs.48 49

We also conducted a subanalysis, restricted to participants aged 10–18 years in CCIs and FBC (data were not collected on SCY) using data from OSCAR Phase 2 to test whether the relationship between care environment and the outcomes were confounded by social support, basic material possessions, importance of religion and time in nature.

There was no imputation for missing data. All analyses were conducted using RStudio V.1.3.1056.

Role of the funding source

The funder of the study had no role in study design, data collection, data analysis, data interpretation or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

Sociodemographic characteristics of participants

The present analysis included 1931 participants: 1069 in FBC, 783 in CCIs and 79 street-based OSCA (table 1). Overall, 52.0% of participants were boys and 48.0% were girls, with a larger proportion of SCY being boys (77.2%). The mean age at baseline was 12.9 years (SD 2.4) and 17.6 years (SD 3.4) at follow-up. At baseline, 54 (2.8%) were HIV-positive, the majority of participants living in institutional care (82.5%) and SCY (72.2%) were double orphans. The mean follow-up time for participants in institutional care was 59.8 months (SD 31.5), 75.2 months (SD 25.5) in FBC and 73.9 months (SD 31.7) for SCY. A majority of participants (68.4%) had been living in that care environment for at least 5 years: 46.4% of participants in CCIs, 88.0% of those in FBC and 21.5% of SCY. Nearly 32% of SCY were on the street for 2–5 years.

Table 1.

Baseline characteristics

Institutional care (n=783) Family based (n=1069) Street based (n=79) Total (N=1931)
Age (mean±SD) 12.9±2.23 13±2.4 15±2.52 13±2.37
Sex
 Female 354 (45.2%) 555 (51.9%) 18 (22.8%) 927 (48.01%)
 Male 429 (54.8%) 514 (48.1%) 61 (77.2%) 1004 (51.99%)
 Missing 0 (0%) 0 (0%) 0 (0%) 0 (0%)
HIV status
 HIV negative 748 (95.5%) 1051 (98.3%) 78 (98.7%) 1877 (97.2%)
 HIV positive 35 (4.5%) 18 (1.7%) 1 (1.3%) 54 (2.8%)
 Missing 0 (0%) 0 (0%) 0 (0%) 0 (0%)
Orphan status
 Double orphan 646 (82.5%) 347 (32.5%) 57 (72.2%) 1050 (54.38%)
 Maternal orphan 45 (5.7%) 101 (9.4%) 3 (3.8%) 149 (7.72%)
 Paternal orphan 41 (5.2%) 460 (43%) 11 (13.9%) 512 (26.51%)
 Non-orphan 51 (6.5%) 161 (15.1%) 8 (10.1%) 220 (11.39%)
 Missing 0 (0%) 0 (0%) 0 (0%) 0 (0%)
Time in care at baseline
 <6 months 39 (5%) 9 (0.8%) 8 (10.1%) 56 (2.9%)
 6 months–2 years 101 (12.9%) 14 (1.3%) 18 (22.8%) 133 (6.89%)
 2–5 years 261 (33.3%) 99 (9.3%) 25 (31.6%) 385 (19.94%)
 >5 years 331 (42.3%) 148 (13.8%) 11 (13.9%) 490 (25.38%)
 All his/her life 32 (4.1%) 793 (74.2%) 6 (7.6%) 831 (43.03%)
 Missing 19 (2.4%) 6 (0.6%) 11 (13.9%) 36 (1.86%)

Data presented as mean±SD or frequencies (%) for continuous and categorical characteristics, respectively.

Mental health outcomes and PTEs

Mental health outcomes and PTEs differed between care environments at baseline and last follow-up visit (table 2). Participants living in institutional care were less frequently diagnosed with probable suicidality (12.8%), PTSD (11.1%), depression (5.7%) and anxiety (4.2%) than those in FBC (21.3%; 16.0%; 20.3%; 8.8%) at baseline. SCY were more frequently diagnosed with all mental health outcomes at baseline than participants in other care environments. At last follow-up visit, OSCA in CCIs were less frequently diagnosed with PTSD (13.8%) and depression (11.0%) than those in FBC (18.3% and 15.1%). Fewer participants in FBC reported suicidality (11.7%) compared with those in CCIs (14.2%). SCY were more frequently diagnosed with probable depression (15.2%) and anxiety (13.9%) and less frequently diagnosed with probable PTSD (7.6%) and suicidality (11.4%) at last follow-up than those in FBC and CCIs.

Table 2.

Mental health conditions morbidity, potentially traumatic events and potential confounding factors at baseline and last follow-up stratified by care environment

Baseline Last follow-up
Institutional care
(n=783)
Family based
(n=1069)
Street based
(n=79)
Total
(N=1931)
Institutional care
(n=783)
Family based
(n=1069)
Street based
(n=79)
Total
(N=1931)
PTSS (score for adolescents) 15.6±11.61 14.3±13.1 17.4±13.41 14.9±12.55 15.3±11.34 13.7±11.21 9.1±10.22 14.2±11.31
Post-traumatic stress symptoms (score for adults) NA NA NA NA 8.8±8.6 7.5±8.35 15±NA 7.9±8.42
PTSD diagnosis (index) 87 (11.1%) 171 (16%) 21 (26.6%) 279 (14.45%) 108 (13.8%) 196 (18.3%) 6 (7.6%) 310 (16.05%)
 Missing 6 (0.8%) 12 (1.1%) 3 (3.8%) 21 (1.09%) 0 (0%) 2 (0.2%) 0 (0%) 2 (0.1%)
Depression (score) 2.4±2.6 4.4±3.6 6±3.24 3.6±3.4 2.3±2.92 3.4±3.45 3.4±3.31 2.9±3.24
Depression (index) 45 (5.7%) 217 (20.3%) 20 (25.3%) 282 (14.6%) 86 (11%) 161 (15.1%) 12 (15.2%) 259 (13.41%)
 Missing 3 (0.4%) 17 (1.6%) 4 (5.1%) 24 (1.24%) 2 (0.3%) 2 (0.2%) 1 (1.3%) 5 (0.26%)
Anxiety (score) 7.4±5.66 9.3±6.54 15±7.09 8.8±6.4 6.8±6.01 7.1±6.33 9.7±6.51 7.2±6.22
Anxiety (index) 33 (4.2%) 94 (8.8%) 26 (32.9%) 153 (7.92%) 37 (4.7%) 32 (3%) 11 (13.9%) 80 (4.14%)
 Missing 4 (0.5%) 12 (1.1%) 4 (5.1%) 20 (1.04%) 155 (19.8%) 484 (45.3%) 1 (1.3%) 640 (33.14%)
Suicidality (ideation or intent) 100 (12.8%) 228 (21.3%) 19 (24.1%) 347 (17.97%) 111 (14.2%) 125 (11.7%) 9 (11.4%) 245 (12.69%)
 Missing 6 (0.8%) 25 (2.3%) 7 (8.9%) 38 (1.97%) 8 (1%) 6 (0.6%) 3 (3.8%) 17 (0.88%)
Potentially traumatic events
 Emotional abuse 237 (30.3%) 326 (30.5%) 48 (60.8%) 611 (31.64%) 361 (46.1%) 555 (51.9%) 73 (92.4%) 989 (51.22%)
  Missing 8 (1%) 16 (1.5%) 6 (7.6%) 30 (1.55%) 5 (0.6%) 4 (0.4%) 0 (0%) 9 (0.47%)
 Physical abuse 292 (37.3%) 399 (37.3%) 59 (74.7%) 750 (38.84%) 382 (48.8%) 613 (57.3%) 77 (97.5%) 1072 (55.52%)
  Missing 8 (1%) 16 (1.5%) 6 (7.6%) 30 (1.55%) 6 (0.8%) 4 (0.4%) 0 (0%) 10 (0.52%)
 Sexual abuse 103 (13.2%) 200 (18.7%) 33 (41.8%) 336 (17.4%) 164 (20.9%) 371 (34.7%) 48 (60.8%) 583 (30.19%)
  Missing 8 (1%) 20 (1.9%) 4 (5.1%) 32 (1.66%) 6 (0.8%) 3 (0.3%) 0 (0%) 9 (0.47%)
 Bullying 640 (81.7%) 777 (72.7%) 63 (79.7%) 1480 (76.64%) 679 (86.7%) 916 (85.7%) 76 (96.2%) 1671 (86.54%)
  Missing 6 (0.8%) 16 (1.5%) 3 (3.8%) 25 (1.29%) 5 (0.6%) 2 (0.2%) 0 (0%) 7 (0.36%)
Factors potentially related to both exposure and outcome (sub-Analysis, restricted to OSCAR phase 2 and participants 10–18 years of age)
n=295 n=533 NA N=828 n=295 n=533 NA N=828
Importance of religion
 Most/Very important 276 (93.6%) 487 (91.4%) NA 763 (92.2%) 276 (93.6%) 496 (93.1%) NA 772 (93.2%)
 Somewhat/Not important at all 8 (2.7%) 39 (7.3%) NA 47 (5.68%) 8 (2.7%) 30 (5.6%) NA 38 (4.59%)
 Missing 11 (3.7%) 7 (1.3%) NA 18 (2.17%) 11 (3.7%) 7 (1.3%) NA 18 (2.17%)
n=295 n=533 NA N=828 n=295 n=533 NA N=828
Basic material possessions
 Does not have all three basic material possessions 52 (17.6%) 223 (41.8%) NA 275 (33.2%) 46 (15.6%) 193 (36.2%) NA 239 (28.9%)
 Has all three basic material possessions 232 (78.6%) 303 (56.8%) NA 535 (64.6%) 238 (80.7%) 333 (62.5%) NA 571 (68.9%)
 Missing 11 (3.7%) 7 (1.3%) NA 18 (2.17%) 11 (3.7%) 7 (1.3%) NA 18 (2.17%)
 Spends time in nature 246 (83.4%) 463 (86.9%) NA 709 (85.6%) 248 (84.1%) 457 (85.7%) NA 705 (85.1%)
  Missing 11 (3.7%) 7 (1.3%) NA 18 (2.17%) 11 (3.7%) 7 (1.3%) NA 18 (2.17%)
 Participation in sports 268 (90.8%) 501 (94%) NA 769 (92.9%) 269 (91.2%) 505 (94.7%) NA 774 (93.5%)
  Missing 12 (4.1%) 8 (1.5%) NA 20 (2.42%) 12 (4.1%) 8 (1.5%) NA 20 (2.42%)
 Social support (score) 4.2±1.04 4.1±1.02 NA 4.1±1.03 4.3±0.99 4.1±1.03 NA 4.2±1.02
  Missing 4 (1.4%) 2 (0.4%) NA 6 (0.72%) 4 (1.4%) 2 (0.4%) NA 6 (0.72%)

PTEs were highly prevalent. Fewer participants in FBC (72.7%) reported bullying at baseline than those in CCIs (81.7%). OSCA in CCIs less frequently reported sexual abuse (13.2%) at baseline compared with those in FBC (18.7%). At last follow-up, fewer participants in CCIs reported any physical (48.8%), emotional (46.1%) or sexual abuse (20.9%) compared with those in FBC (57.3%; 51.9%; 34.7%). SCY had a higher prevalence of all PTEs at baseline and last follow-up visit compared with those in CCIs and FBC.

In a subanalysis for which data were available, participants living in CCIs more frequently reported that religion was most or very important in their everyday lives than those in FBC. A higher percentage of OSCA in CCIs had all three basic material possessions at baseline (78.6%) and follow-up (80.7%) compared with those in FBC, 56.8% and 62.5%, respectively. Social support scores were similar across care environments, with a mean score of 4.2 (SD 1.02) at last follow-up, indicative of moderate social support.

Survival analysis

There were 3382 mental health events reported in 133 083 person-months of follow-up: 46 809 in CCIs, 80 440 in FBC and 5835 in SCY. Participants in institutional care had a longer median time to probable PTSD diagnosis (98.6 months, 95% CI 97.8 to 103.9) than those in FBC (91.9 months, 95% CI 89.9 to 94.5) and SCY (36.70 months, 95% CI 34.5 to NA) (figure 1). Likewise, participants in CCIs had a longer median time to probable suicidality (98.4 months, 95% CI 97.8 to NA) in comparison to those in FBC (94.5 months, 95% CI 92.2 to 97.4) and SCY (34.5 months 95% CI 25.7 to NA) (figure 1). Participants in FBC (91.7 months (95% CI 87.6–94.3) had a longer median depression survival time than SCY (34.5 (95% CI 27.5 to NA). Fewer than 50% of participants in institutional and FBC experienced a diagnosis of anxiety, while SCY had a median time to diagnosis of probable anxiety of 30.5 months (95% CI 24.2 to NA) (figure 1).

Figure 1.

Figure 1

Kaplan-Meier survival curves of time to a new mental health diagnosis. CCI, Charitable Children’s Institution; FBC, family-based care; SCY, street-connected children and youth.

In adjusted models (unadjusted analyses in online supplemental table 1), OSCA in CCIs were significantly less likely to be diagnosed with probable PTSD (AHR 0.69, 95% CI 0.49 to 0.97), depression (AHR 0.48, 95% CI 0.24 to 0.97), anxiety (AHR 0.56, 95% CI 0.45 to 0.68) and suicidality (AHR 0.73, 95% CI 0.56 to 0.95) during study follow-up compared with those in FBC while adjusting for age, sex, orphan status, time living in care environment, PTEs at baseline and follow-up, mental health diagnoses at baseline and clustering by household/institution (table 3). SCY were significantly more likely to be diagnosed with PTSD (AHR 4.52, 95% CI 4.10 to 4.97), depression (AHR 4.72, 95% CI 3.12 to 7.15), anxiety (AHR 4.71, 95% CI 1.56 to 14.26), and suicidality (AHR 3.10, 95% CI 2.14 to 4.48) compared with those in FBC while adjusting for these same variables.

Table 3.

Adjusted HRs and 95% CIs of the effect of care environment on mental health diagnoses

Care environment PTSD Depression Anxiety Suicidality
Family based (ref) 1 1 1 1
Institutional care 0.69 (0.49, 0.97) 0.48 (0.24, 0.97) 0.56 (0.45, 0.68) 0.73 (0.56, 0.95)
Street based 4.52 (4.1, 4.97) 4.72 (3.12, 7.15) 4.71 (1.56, 14.26) 3.1 (2.14, 4.48)

HRs adjusted for age, sex, orphan status, length of time in care environment, PTSD/depression/anxiety/suicidality at baseline, emotional/physical/sexual abuse at baseline and during follow-up, bullied at baseline and during follow-up, clustering by household/institution.

PTSD, post-traumatic stress disorder; (ref), reference category.

Supplementary data

bmjgh-2020-003644supp001.pdf (78.6KB, pdf)

In adjusted subanalyses (unadjusted analyses in online supplemental table 2), OSCA in CCIs remained significantly less likely to be diagnosed with depression, anxiety and suicidality during follow-up, when examining the potentially confounding effects of social support, basic material possessions, importance of religion and time in nature (table 4). When adjusting for each of the five factors separately, that is, all three basic material possessions, considering religion most or very important in everyday life, and spending time in nature, the association of care environment on the diagnosis of probable PTSD became non-significant. Social support and importance of religion were consistently protective (in addition to care environment) against all outcomes, while having basic material possessions was positively associated with depression and suicidality, but neither PTSD nor anxiety.

Table 4.

Adjusted HRs and 95% CIs examining impact of additional potential confounders of the relationship between care environment and mental health diagnoses

Factors potentially associated with both exposure and outcome (potential confounders)
Overall Social support Basic material possessions Importance of religion Time in nature
PTSD
Care environment (FBC (ref)) 1 1 1 1 1
Institution 0.57 (0.48–0.68) 0.60 (0.51–0.71) 0.66 (0.36–1.21) 0.62 (0.37–1.05) 0.60 (0.36–1.02)
Social support 0.73 (0.72–0.73)
All 3 basic material possessions 0.72 (0.45–1.13)
Importance of religion (Most/Very) 0.72 (0.59–0.88)
Spends time in nature 0.86 (0.42–1.78)
Depression
Care environment (FBC (ref)) 1 1 1 1 1
Institution 0.29 (0.13–0.64) 0.30 (0.15–0.61) 0.33 (0.11–0.94) 0.28 (0.08–0.97) 0.25 (0.08–0.78)
Social support 0.67 (0.48–0.94)
All 3 basic material possessions 0.57 (0.49–0.66)
Importance of religion (Most/Very) 0.47 (0.47–0.48)
Spends time in nature 0.78 (0.26–2.30)
Anxiety
Care environment (FBC (ref)) 1 1 1 1 1
Institution 0.69 (0.68–0.70) 0.69 (0.66–0.71) 0.75 (0.68–0.82) 0.72 (0.70–0.75) 0.70 (0.67–0.73)
Social support 0.83 (0.57–1.23)
All 3 basic material possessions 0.70 (0.40–1.24)
Importance of religion (Most/Very) 0.43 (0.37–0.51)
Spends time in nature 0.89 (0.64–1.25)
Suicidality
Care environment (FBC (ref)) 1 1 1 1
Institution 0.52 (0.39–0.70) 0.57 (0.47–0.68) 0.61 (0.43–0.86) 0.50 (0.35–0.72) 0.49 (0.36–0.66)
Social support 0.73 (0.71–0.74)
All 3 basic material possessions 0.44 (0.36–0.55)
Importance of religion (Most/Very) 0.51 (0.44–0.58)
Spends time in nature 0.88 (0.57–1.36)

Adjusted for age, sex, orphan status, length of time in care environment, PTSD/depression/anxiety/suicidality at baseline, emotional/physical/sexual abuse at baseline and during follow-up, bullied at baseline and during follow-up, clustering by household/institution.

FBC, family-based care; PTSD, post-traumatic stress disorder.

Supplementary data

bmjgh-2020-003644supp002.pdf (78.6KB, pdf)

Discussion

This study comparing mental health outcomes of OSCA living in three different care environments in UG County Kenya has four principal findings. First, we found a significant burden of PTEs across all participants in all care environments and a high probability of being diagnosed with mental health illnesses over time. Second, OSCA living in institutional care were significantly less likely to be diagnosed with probable PTSD, depression, anxiety or suicidality than those in FBC over the course of the study after controlling for confounding and other relevant factors. Third, SCY’s risk of being diagnosed with a mental health illness during the study was significantly higher than OSCA in either of the other two care environments. Fourth, social support and importance of religion were found to be consistently associated with better outcomes, while having basic material possessions reduced the risk of depression and suicidality.

This study adds to the body of research from sub-Saharan Africa that has demonstrated that children who have lost one or both parents experience multiple PTEs2–4 and have substantial mental health issues.2 4–7 Bullying, physical, emotional and sexual abuse are highly prevalent in sub-Saharan Africa.50 51 The significant burden of PTEs across all participants at baseline and during study follow-up is noteworthy, given the well-established association between experiencing multiple adverse childhood experiences and the risk of developing mental illnesses.1 Evidence demonstrates that 10%–20% of children and adolescents living in LMICs experience mental health problems.52 The present study found the prevalence of mental health morbidities among OSCA living in institutional and FBC was within this range at baseline and follow-up. However, the prevalence of SCY’s mental health morbidities well exceeded it.

Contrary to findings from other settings such as Eastern Europe,11 12 53 our results do not support the hypothesis that OSCA living in institutional care have worse mental health outcomes over time than those in FBC, and add to the mounting evidence that children in institutional care in sub-Saharan Africa may have better mental health than their counterparts in other care environments.4 19 22 23 Furthermore, our findings confirm that OSCA living and working on the streets have poorer mental health outcomes than those living in the other care environments examined.4 19 SCY’s higher risk of mental health problems is likely a result of the very high prevalence of PTEs experienced once on the street,4 54 and the adversities at home that prompted them to migrate to the street.55

After adjusting for potentially confounding factors, OSCA living in institutional care remained significantly less likely to experience a diagnosis of probable depression, anxiety or suicidality during follow-up than those in FBC. Importantly, social support and considering religion most/very important were consistently protective against all outcomes, which supports the concept that the quality of care and other factors may have a stronger effect on OSCA’s psychosocial health than the care environment itself.56

The mental health of children in LMICs has been relatively neglected,57 and interventions to address child and adolescent mental health in LMICs are scarce.52 58 Given the prevalence of and differences in mental health outcomes by care environment this study has found, no ‘one size fits all’ approach will work to address these issues. For deinstitutionalisation to occur safely, effectively and at scale, a diverse range of evidence-based, targeted interventions are urgently needed, including a responsive child protection system, substantially more investments in family supports, and a health system that is resourced and able to respond to OSCA’s significant mental health needs irrespective of their care environment.

This study has several important strengths. First, it was able to longitudinally screen a relatively large number of OSCA orphaned from all causes for mental health problems and PTEs across different care environments, increasing generalisability. Second, we were able to include SCY in this study to represent self-care, and although the number of SCY in our sample was relatively small, these findings to our knowledge provide the first longitudinal estimates on SCY’s mental health in sub-Saharan Africa. Finally, this study provides rigorous and contextually relevant evidence to inform policy on optimal care environments and deinstitutionalisation for OSCA in sub-Saharan Africa and shows that OSCA living in family-based settings clearly need more support and attention before rapid, universal implementation of deinstitutionalisation can be successfully accomplished.

This study also has limitations. First, the study instruments measuring PTSD, depression, suicidality and anxiety across adolescents and young adults were not validated in this study population, and therefore may not accurately reflect the symptoms and diagnoses of these outcomes in OSCA in this context. Second, measures of mental health outcomes, PTEs and other potential confounding factors were self-reported and could be prone to reporting bias; however, this bias is likely non-differential, as irrespective of care environment, participants may have been afraid to disclose PTEs or mental health problems for fear of repercussions from their caregiver(s). Third, we use statistical methods for recurrent events, assuming that each identified event corresponds to a ‘new’ event. Finally, these findings may not be generalisable to other counties in Kenya due to differences across the country.

Conclusion

Overall, our findings demonstrate that OSCA in this region urgently require targeted mental health interventions to address multiple morbidities across all care environments. These morbidities may have life-long consequences on the overall health and well-being of these vulnerable populations if left unaddressed. Deinstitutionalisation may be most effective, sustainable and scalable if implemented when and if the appropriate family and government supports are in place at a national and subnational level.

Acknowledgments

We wish to gratefully acknowledge the Chiefs, Assistant Chiefs and Village Elders of the Locations of Pioneer, Kapsoya, Koisagat, Ol’Lenguse, Olare, Tarakwa, Kipsinende and Kapyemit for their support and leadership. We also wish to acknowledge all the residents of these locations and particularly the many households caring for vulnerable members of their community, notably orphaned and separated children, children with physical and mental disabilities, and the elderly. We particularly want to acknowledge the County and District Children’s Officers, particularly Mr Philip Nzenge, for their dedication to protecting the children of Uasin Gishu County, as well as the Uasin Gishu Children’s Services Forum. This study would not have been possible without the willing participation of the children and youth participants and their guardians and we would like to acknowledge and thank them. The enthusiasm and commitment of the staff and volunteers of the OSCAR project have not gone unnoticed and we the authors wish to thank them for their efforts and engagement with this project.

Footnotes

Handling editor: Soumitra S Bhuyan

Contributors: FO and LEE drafted the manuscript. SC conducted the analysis. DOA and LA guided study hypotheses, data collection, interpretation of results and reviewed manuscript drafts. ES assisted with data collection, construction of the analysis data and revised the draft manuscript. PB conceived the idea for this study, guided all aspects of study design, data collection, analysis and interpretation of the findings. All authors reviewed and approved the final manuscript for submission.

Funding: This project was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development (R01HD060478). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Eunice Kennedy Shriver National Institute of Child Health & Human Development or the National Institutes of Health.

Competing interests: None declared.

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 upon request. The deidentified analysis dataset is available to other researchers and others upon request by emailing the corresponding author.

Ethics statements

Patient consent for publication

Not required.

Ethics approval

The Moi University College of Health Sciences and MTRH Institutional Research and Ethics Committee, the Indiana University Institutional Review Board, and the University of Toronto Research Ethics Boards approved this study.

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Associated Data

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

Supplementary Materials

Supplementary data

bmjgh-2020-003644supp001.pdf (78.6KB, pdf)

Supplementary data

bmjgh-2020-003644supp002.pdf (78.6KB, pdf)

Data Availability Statement

Data are available upon request. The deidentified analysis dataset is available to other researchers and others upon request by emailing the corresponding author.


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