Social Vulnerability, COVID-19, Racial Violence, and Depressive Symptoms: a Cross-sectional Study in the Southern United States.

BACKGROUND: In March 2020, the novel 2019 coronavirus disease (COVID-19) was declared a pandemic. In May 2020, George Floyd was murdered, catalyzing a national racial reckoning. In the Southern United States, these events occurred in the context of a history of racism and high rates of poverty and discrimination, especially among racially and ethnically minoritized populations. OBJECTIVES: In this study, we examine social vulnerabilities, the perceived impacts of COVID-19 and the national racial reckoning, and how these are associated with depression symptoms in the South. METHODS: Data were collected from 961 adults between June and November 2020 as part of an online survey study on family well-being during COVID-19. The sample was majority female (87.2%) and consisted of 661 White participants, 143 Black participants, and 157 other racial and ethnic minoritized participants. Existing social vulnerability, perceived impact of COVID-19 and racial violence and protests on families, and depressive symptoms were assessed. Hierarchical regression analysis was used to predict variance in depressive symptoms. RESULTS: Half of the sample (52%) reported a negative impact of COVID-19, and 66% reported a negative impact of national racial violence/protests. Depressive symptoms were common with 49.8% meeting the cutoff for significant depressive symptoms; Black participants had lower levels of depressive symptoms. Results from the hierarchical regression analysis indicate social vulnerabilities and the perceived negative impact of COVID-19 and racial violence/protests each contribute to variance in depressive symptoms. Race-specific sensitivity analysis clarified distinct patterns in predictors of depressive symptoms. CONCLUSION: People in the South report being negatively impacted by the confluence of the COVID-19 pandemic and the emergence of racial violence/protests in 2020, though patterns differ by racial group. These events, on top of pre-existing social vulnerabilities, help explain depressive symptoms in the South during 2020.

Parenting in a conflict-affected setting: Discipline practices, parent-child interactions, and parenting stress in Liberia.

Children in conflict-affected settings are at increased risk for exposure to violence, placing particular importance on caregiving environments. This study first describes parenting in urban Liberia by evaluating parent-child interactions, the use and acceptance of harsh and nonharsh discipline, discipline preferences, and the co-occurrence of positive interactions and harsh discipline. The relationship between parenting stress and harsh discipline attitudes and behaviors is then tested. Participants included 813 parents with a child aged 3 or 4 years old. A quantitative survey battery assessed parent-child interactions; discipline practices, preferences, and attitudes; and parenting stress. Parents reported frequent use and high acceptance of nonharsh discipline, as well as frequent positive interactions with their child. Though parents reported less frequent use and low acceptance of harsh discipline, preference for harsh discipline-based on hypothetical situations rather than self-report-was common. There was co-occurrence of frequent positive interactions and frequent harsh discipline, with one third reporting high frequency of both. Regression analysis revealed greater parenting stress (ß = .15, t = 4.49, p < .001) and stronger acceptance of harsh discipline (ß = .47, t = 15.49, p < .001) were associated with more frequent harsh discipline. Acceptance of harsh discipline interacted with parenting stress to predict the use of harsh discipline (ß = -.09, t = -3.09, p < .01). Among parents with lowest average acceptance of harsh practices, stress predicted more frequent harsh discipline, but acceptance did not moderate the association for those who are most accepting of harsh practices. Building on existing parenting strengths and addressing parenting stress could promote nurturing caregiving in conflict-affected settings. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Comparing fears about paediatric HIV disclosure to the lived experiences of parents and guardians: a prospective cohort study.

OBJECTIVE: We aimed to: (1) follow parents and guardians through the process of paediatric HIV disclosure to understand how often pre-disclosure worries are realised; and (2) estimate the effects of disclosure on child, caregiver, and family well-being. DESIGN: We conducted a 12-month prospective cohort study in Zimbabwe with 123 primary caregivers of children ages 9 to 15 years who were HIV positive but did not know their serostatus at baseline. By the end of the study period 65 caregivers reported that their child learned his or her HIV-positive status. MAIN OUTCOME MEASURES: We used three waves of data to compare caregivers' pre-disclosure worries to post-disclosure reports and to characterise associations between disclosure and well-being of the child (Strengths and Difficulties Questionnaire), caregiver (Patient Health Questionnaire-9), and family (Family Relationship Quality) over time. RESULTS: Caregivers' pre-disclosure worries and fears about how their child would react to disclosure of their HIV status largely went unrealised. Furthermore, we did not find strong evidence of clinically-important increases in problems on average following disclosure. CONCLUSION: Findings support the call to identify supportive intervention strategies that address caregiver fears at the beginning of the disclosure process.

Predicting healthcare-seeking behavior based on stated readiness to act: development and validation of a prediction model.

A starting point of many digital health interventions informed by the Stages of Change Model of behavior change is assessing a person's readiness to change. In this paper, we use the concept of readiness to develop and validate a prediction model of health-seeking behavior in the context of family planning. We conducted a secondary analysis of routinely collected, anonymized health data submitted by 4,088 female users of a free health chatbot in Kenya. We developed a prediction model of (future) self-reported action by randomly splitting the data into training and test data sets (80/20, stratified by the outcome). We further split the training data into 10 folds for cross-validating the hyperparameter tuning step in model selection. We fit nine different classification models and selected the model that maximized the area under the receiver operator curve. We then fit the selected model to the full training dataset and evaluated the performance of this model on the holdout test data. The model predicted who will visit a family planning provider in the future with high precision (0.93) and moderate recall (0.75). Using the Stages of Change framework, we concluded that 29% of women were in the "Preparation" stage, 21% were in the "Contemplation" stage, and 50% were in the "Pre-Contemplation" stage. We demonstrated that it is possible to accurately predict future healthcare-seeking behavior based on information learned during the initial encounter. Models like this may help intervention developers to tailor strategies and content in real-time.

Is social-ecological risk associated with individual HIV risk beliefs and behaviours?: An analysis of Kenyan adolescents' local communities and activity spaces.

The places where adolescents live, learn, and play are thought to influence behaviours and health, but we have limited tools for measuring environmental risk on a hyperlocal (e.g. neighbourhood) level. Working with 218 adolescents and their parents/guardians in rural western Kenya, we combined participatory mapping activities with satellite imagery to identify adolescent activity spaces and create a novel measure of social-ecological risks. We then examined the associations between social-ecological risk and individual HIV risk beliefs and behaviours. We found support for the conjecture that social-ecological risks may be associated with individual beliefs and behaviours. As social-ecological risk increased for a sample of Kenyan adolescents, so did their reports of riskier sex beliefs and behaviours, as well as unsupervised outings at night. This study reinforces calls for disease prevention approaches that go beyond emphasising individual behaviour change.

Adaptation of the World Health Organization Electronic Mental Health Gap Action Programme Intervention Guide App for Mobile Devices in Nepal and Nigeria: Protocol for a Feasibility Cluster Randomized Controlled Trial.

BACKGROUND: There is a growing global need for scalable approaches to training and supervising primary care workers (PCWs) to deliver mental health services. Over the past decade, the World Health Organization Mental Health Gap Action Programme Intervention Guide (mhGAP-IG) and associated training and implementation guidance have been disseminated to more than 100 countries. On the basis of the opportunities provided by mobile technology, an updated electronic Mental Health Gap Action Programme Intervention Guide (e-mhGAP-IG) is now being developed along with a clinical dashboard and guidance for the use of mobile technology in supervision. OBJECTIVE: This study aims to assess the feasibility, acceptability, adoption, and other implementation parameters of the e-mhGAP-IG for diagnosis and management of depression in 2 lower-middle-income countries (Nepal and Nigeria) and to conduct a feasibility cluster randomized controlled trial (cRCT) to evaluate trial procedures for a subsequent fully powered trial comparing the clinical effectiveness and cost-effectiveness of the e-mhGAP-IG and remote supervision with standard mhGAP-IG implementation. METHODS: A feasibility cRCT will be conducted in Nepal and Nigeria to evaluate the feasibility of the e-mhGAP-IG for use in depression diagnosis and treatment. In each country, an estimated 20 primary health clinics (PHCs) in Nepal and 6 PHCs in Nigeria will be randomized to have their staff trained in e-mhGAP-IG or the paper version of mhGAP-IG v2.0. The PHC will be the unit of clustering. All PCWs within a facility will receive the same training (e-mhGAP-IG vs paper mhGAP-IG). Approximately 2-5 PCWs, depending on staffing, will be recruited per clinic (estimated 20 health workers per arm in Nepal and 15 per arm in Nigeria). The primary outcomes of interest will be the feasibility and acceptability of training, supervision, and care delivery using the e-mhGAP-IG. Secondary implementation outcomes include the adoption of the e-mhGAP-IG and feasibility of trial procedures. The secondary intervention outcome-and the primary outcome for a subsequent fully powered trial-will be the accurate identification of depression by PCWs. Detection rates before and after training will be compared in each arm. RESULTS: To date, qualitative formative work has been conducted at both sites to prepare for the pilot feasibility cRCT, and the e-mhGAP-IG and remote supervision guidelines have been developed. CONCLUSIONS: The incorporation of mobile digital technology has the potential to improve the scalability of mental health services in primary care and enhance the quality and accuracy of care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04522453; https://clinicaltrials.gov/ct2/show/NCT04522453. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/24115.

Development of the Family Togetherness Scale: A Mixed-Methods Validation Study in Kenya.

Family functioning is an important target of clinical intervention and research given its close ties with mental health outcomes of both children and adults. However, we lack family functioning measures validated for use in many low- and middle-income country (LMIC) settings. In this mixed-methods prospective diagnostic accuracy study, we first used formative qualitative data to develop an extensive battery of screening items to measure family functioning in Kenya. We then recruited 30 Kenyan families (N = 44 adults; 30 youth aged 8-17 years) to complete the questionnaires and participate in clinical interviews conducted by local interviewers. Quantitative and qualitative analyses were then conducted to select a subset of screening items that balanced conceptual understanding of family distress with diagnostic efficiency and accuracy to yield a brief but valid scale. The final index test consisting of 30 items correctly identified distressed families in 89% of cases according to adult-report and 76% of cases according to child-report. The optimal cutoffs are associated with estimates of sensitivity/specificity of 0.88/0.90 and 0.75/0.77 for adult-report and child-report measures, respectively. The final measure-the Family Togetherness Scale (FTS)-assesses global family functioning, including items related to family organization, emotional closeness, and communication/problem-solving. In addition to general items, the scale also includes items explicitly assessing family responses to stressors common in LMIC settings. Results establish a strong rationale for larger-scale validation studies.

Expanding Access to Perinatal Depression Treatment in Kenya Through Automated Psychological Support: Development and Usability Study.

BACKGROUND: Depression during pregnancy and in the postpartum period is associated with poor outcomes for women and their children. Although effective interventions exist for common mental disorders that occur during pregnancy and the postpartum period, most cases in low- and middle-income countries go untreated because of a lack of trained professionals. Task-sharing models such as the Thinking Healthy Program have shown potential in feasibility and efficacy trials as a strategy for expanding access to treatment in low-resource settings; however, there are significant barriers to scale-up. We address this gap by adapting Thinking Healthy for automated delivery via a mobile phone. This new intervention, Healthy Moms, uses an existing artificial intelligence system called Tess (Zuri in Kenya) to drive conversations with users. OBJECTIVE: This prepilot study aims to gather preliminary data on the Healthy Moms perinatal depression intervention to learn how to build and test a more robust service. METHODS: We conducted a single-case experimental design with pregnant women and new mothers recruited from public hospitals outside of Nairobi, Kenya. We invited these women to complete a brief, automated screening delivered via text messages to determine their eligibility. Enrolled participants were randomized to a 1- or 2-week baseline period and then invited to begin using Zuri. We prompted participants to rate their mood via SMS text messaging every 3 days during the baseline and intervention periods, and we used these preliminary repeated measures data to fit a linear mixed-effects model of response to treatment. We also reviewed system logs and conducted in-depth interviews with participants to study engagement with the intervention, feasibility, and acceptability. RESULTS: We invited 647 women to learn more about Zuri: 86 completed our automated SMS screening and 41 enrolled in the study. Most of the enrolled women submitted at least 3 mood ratings (31/41, 76%) and sent at least 1 message to Zuri (27/41, 66%). A third of the sample engaged beyond registration (14/41, 34%). On average, women who engaged post registration started 3.4 (SD 3.2) Healthy Moms sessions and completed 3.1 (SD 2.9) of the sessions they started. Most interviewees who tried Zuri reported having a positive attitude toward the service and expressed trust in Zuri. They also attributed positive life changes to the intervention. We estimated that using this alpha version of Zuri may have led to a 7% improvement in mood. CONCLUSIONS: Zuri is feasible to deliver via SMS and was acceptable to this sample of pregnant women and new mothers. The results of this prepilot study will serve as a baseline for future studies in terms of recruitment, data collection, and outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11800.

A multiple baseline study of a brief alcohol reduction and family engagement intervention for fathers in Kenya.

OBJECTIVE: To evaluate a lay provider-delivered, brief intervention to reduce problem drinking and related family consequences among men in Kenya. The 5-session intervention combines behavioral activation (BA) and motivational interviewing (MI). It integrates family-related material explicitly and addresses central cultural factors through gender transformative strategies. METHOD: A nonconcurrent multiple-baseline design was used. We initiated treatment with 9 men ages 30 to 48 who were fathers and screened positive for problem drinking; the median Alcohol Use Identification Test score was 17 (harmful range). Participants were randomized to staggered start dates. We measured the primary outcome of weekly alcohol consumption 4 weeks before treatment, during treatment, and 4 weeks posttreatment using the Timeline Followback measure. Secondary outcomes were assessed using a pre-post assessment (1-month) of men's depression symptoms, drinking- and family-related problem behavior, involvement with child, time with family, family functioning, relationship quality (child and partner), and harsh treatment of child and partner. Men, partners, and children (ages 8-17) reported on family outcomes. RESULTS: Eight men completed treatment. Mixed-effects hurdle model analysis showed that alcohol use, both number of days drinking and amount consumed, significantly decreased during and after treatment. Odds of not drinking were 5.1 times higher posttreatment (95% CI [3.3, 7.9]). When men did drink posttreatment, they drank 50% less (95% CI [0.39, 0.65]). Wilcoxon signed-ranks test demonstrated pre-post improvements in depression symptoms and family related outcomes. CONCLUSION: Results provide preliminary evidence that a BA-MI intervention developed for lay providers may reduce alcohol use and improve family outcomes among men in Kenya. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis.

OBJECTIVES: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. STUDY DESIGN AND SETTING: Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. RESULTS: A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). CONCLUSION: PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.

Family Functioning and Mental Health Changes Following a Family Therapy Intervention in Kenya: a Pilot Trial.

Family-based interventions offer a promising avenue for addressing chronic negative family interactions that contribute to lasting consequences, including family violence and the onset and maintenance of mental health disorders. The purpose of this study was to conduct a mixed-methods, single group pre-post pilot trial of a family therapy intervention (N = 10) delivered by lay counselors in Kenya. Results show that both caregivers and children reported reductions in family dysfunction and improved mental health after the intervention. Point estimates represent change of more than two standard deviations from baseline for the majority of primary outcomes. Treated families also reported a decrease in harsh discipline, intimate partner violence, and alcohol-related problems. These results were corroborated by findings from an observational measure of family functioning and in-depth qualitative interviews. This study presents preliminary evidence of pre-post improvements following a family therapy intervention consisting of streamlined, evidence-informed family therapy strategies to target family dysfunction and mental health.

"What is the best method of family planning for me?": a text mining analysis of messages between users and agents of a digital health service in Kenya.

Background: Text message-based interventions have been shown to have consistently positive effects on health improvement and behavior change. Some studies suggest that personalization, tailoring, and interactivity can increase efficacy. With the rise in artificial intelligence and its incorporation into interventions, there is an opportunity to rethink how these characteristics are designed for greater effect. A key step in this process is to better understand how users engage with interventions. In this paper, we apply a text mining approach to characterize the ways that Kenyan men and women communicated with the first iterations of askNivi, a free sexual and reproductive health information service.  Methods: We tokenized and processed more than 179,000 anonymized messages that users exchanged with live agents, enabling us to count word frequency overall, by sex, and by age/sex cohorts. We also conducted two manual coding exercises: (1) We manually classified the intent of 3,834 user messages in a training dataset; and (2) We manually coded all conversations between a random subset of 100 users who engaged in extended chats.  Results: Between September 2017 and January 2019, 28,021 users (mean age 22.5 years, 63% female) sent 87,180 messages to askNivi, and 18 agents sent 92,429 replies. Users wrote most often about family planning methods, contraception, side effects, pregnancy, menstruation, and sex, but we observed different patterns by sex and age. User intents largely reflected the marketing focus on reproductive health, but other topics emerged. Most users sought factual information, but requests for advice and symptom reports were common.  Conclusions: Young people in Kenya have a great desire for accurate and reliable information on health and wellbeing, which is easy to access and trustworthy. Text mining is one way to better understand how users engage with interventions like askNivi and maximize what artificial intelligence has to offer.

The prevalence and process of pediatric HIV disclosure: A population-based prospective cohort study in Zimbabwe.

INTRODUCTION: The objective of this study was to estimate the prevalence of pediatric HIV disclosure in rural Zimbabwe and track the process of disclosure over time. METHODS: We recruited a population-based sample of 372 caregivers of HIV-positive children ages 9 to 15 to participate in a survey about disclosure. Using data from this cross-sectional sample, we then identified a prospective cohort of 123 caregivers who said their HIV-positive child did not know his or her HIV status, and we followed this non-disclosed cohort of caregivers through two additional waves of data collection over the next 12 months. At each wave, we inquired about the timing and process of disclosure and psychosocial factors related to HIV disclosure. RESULTS: The overall prevalence of disclosure in the cross-sectional sample was 66.9% (95% CI 62.0 to 71.5%). Only 26.9% of children knew how they were infected and that they can transmit the virus to others (i.e. "full disclosure"). Older children were more likely to know their status. Among the non-disclosed caregivers at baseline, nearly 60% of these children learned their HIV status over the course of the 12-month study period, but only 17.1% learned how they were infected and that they can transmit the virus to others. Most caregivers were satisfied with their child's disclosure experience. Caregivers who had not disclosed their child's HIV status to the child worried that disclosure would lead to stigma in the community, provoke questions from their child they would not be able to answer, or cause the child to reject the caregiver in anger. CONCLUSIONS: This study suggests that rates of pediatric HIV disclosure may be larger than typically reported, but also reinforces the idea that most children do not know key details about their illness, such as how they were infected and that they can infect others.

A traumatic brain injury prognostic model to support in-hospital triage in a low-income country: a machine learning-based approach.

OBJECTIVE: Traumatic brain injury (TBI) is a leading cause of death and disability worldwide, with a disproportionate burden of this injury on low- and middle-income countries (LMICs). Limited access to diagnostic technologies and highly skilled providers combined with high patient volumes contributes to poor outcomes in LMICs. Prognostic modeling as a clinical decision support tool, in theory, could optimize the use of existing resources and support timely treatment decisions in LMICs. The objective of this study was to develop a machine learning-based prognostic model using data from Kilimanjaro Christian Medical Centre in Moshi, Tanzania. METHODS: This study is a secondary analysis of a TBI data registry including 3138 patients. The authors tested nine different machine learning techniques to identify the prognostic model with the greatest area under the receiver operating characteristic curve (AUC). Input data included demographics, vital signs, injury type, and treatment received. The outcome variable was the discharge score on the Glasgow Outcome Scale-Extended. RESULTS: The AUC for the prognostic models varied from 66.2% (k-nearest neighbors) to 86.5% (Bayesian generalized linear model). An increasing Glasgow Coma Scale score, increasing pulse oximetry values, and undergoing TBI surgery were predictive of a good recovery, while injuries suffered from a motor vehicle crash and increasing age were predictive of a poor recovery. CONCLUSIONS: The authors developed a TBI prognostic model with a substantial level of accuracy in a low-resource setting. Further research is needed to externally validate the model and test the algorithm as a clinical decision support tool.

Expanding Access to Depression Treatment in Kenya Through Automated Psychological Support: Protocol for a Single-Case Experimental Design Pilot Study.

BACKGROUND: Depression during pregnancy and in the postpartum period is associated with a number of poor outcomes for women and their children. Although effective interventions exist for common mental disorders that occur during pregnancy and the postpartum period, most cases in low- and middle-income countries go untreated because of a lack of trained professionals. Task-sharing models such as the Thinking Healthy Program have shown great potential in feasibility and efficacy trials as a strategy for expanding access to treatment in low-resource settings, but there are significant barriers to scale-up. We are addressing this gap by adapting Thinking Healthy for automated delivery via a mobile phone. This new intervention, Healthy Moms, uses an existing artificial intelligence system called Tess (Zuri in Kenya) to drive conversations with users. OBJECTIVE: The objective of this pilot study is to test the Healthy Moms perinatal depression intervention using a single-case experimental design with pregnant women and new mothers recruited from public hospitals outside of Nairobi, Kenya. METHODS: We will invite patients to complete a brief, automated screening delivered via text messages to determine their eligibility. Enrolled participants will be randomized to a 1- or 2-week baseline period and then invited to begin using Zuri. Participants will be prompted to rate their mood via short message service every 3 days during the baseline and intervention periods. We will review system logs and conduct in-depth interviews with participants to study engagement with the intervention, feasibility, and acceptability. We will use visual inspection, in-depth interviews, and Bayesian estimation to generate preliminary data about the potential response to treatment. RESULTS: Our team adapted the intervention content in April and May 2018 and completed an initial prepilot round of formative testing with 10 women from a private maternity hospital in May and June. In preparation for this pilot study, we used feedback from these users to revise the structure and content of the intervention. Recruitment for this protocol began in early 2019. Results are expected toward the end of 2019. CONCLUSIONS: The main limitation of this pilot study is that we will recruit women who live in urban and periurban centers in one part of Kenya. The results of this study may not generalize to the broader population of Kenyan women, but that is not an objective of this phase of work. Our primary objective is to gather preliminary data to know how to build and test a more robust service. We are working toward a larger study with a more diverse population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/11800.

The impact of school support on depression among adolescent orphans: a cluster-randomized trial in Kenya.

BACKGROUND: The objective of this study was to determine if a school support intervention for adolescent orphans in Kenya had effects on mental health, a secondary outcome. METHODS: In this paper, we analyzed data from a 4-year cluster-randomized trial of a school support intervention (school uniforms, school fees, and nurse visits) conducted with orphaned adolescents in Siaya County, western Kenya, who were about to transition to secondary school. 26 primary schools were randomized (1:1) to intervention (410 students) or control (425 students) arms. The study was longitudinal with annual repeated measures collected over 4 years from 2011 to 2014. We administered five items from the 20-item Center for Epidemiologic Studies Depression Scale Revised, a self-reported depression screening instrument. RESULTS: The intervention prevented depression severity scores from increasing over time among adolescents recruited from intervention schools. There was no evidence of treatment heterogeneity by gender or baseline depression status. The intervention effect on depression was partially mediated by higher levels of continuous school enrollment among the intervention group, but this mediated effect was small. CONCLUSIONS: School support for orphans may help to buffer against the onset or worsening of depression symptoms over time, promoting resilience among an important at-risk population.

Developing a Digital Marketplace for Family Planning: Pilot Randomized Encouragement Trial.

BACKGROUND: Family planning is an effective tool for preventing death among women who do not want to become pregnant and has been shown to improve newborn health outcomes, advance women's empowerment, and bring socioeconomic benefits through reductions in fertility and population growth. Yet among the populations that would benefit the most from family planning, uptake remains too low. The emergence of digital health tools has created new opportunities to strengthen health systems and promote behavior change. In this study, women with an unmet need for family planning in Western Kenya were randomized to receive an encouragement to try an automated investigational digital health intervention that promoted the uptake of family planning. OBJECTIVE: The objectives of the pilot study were to explore the feasibility of a full-scale trial-in particular, the recruitment, encouragement, and follow-up data collection procedures-and to examine the preliminary effect of the intervention on contraception uptake. METHODS: This pilot study tested the procedures for a randomized encouragement trial. We recruited 112 women with an unmet need for family planning from local markets in Western Kenya, conducted an eligibility screening, and randomized half of the women to receive an encouragement to try the investigational intervention. Four months after encouraging the treatment group, we conducted a follow-up survey with enrolled participants via short message service (SMS) text message. RESULTS: The encouragement sent via SMS text messages to the treatment group led to differential rates of intervention uptake between the treatment and control groups; however, uptake by the treatment group was lower than anticipated (19/56, 33.9% vs 1/56, 1.8%, in the control group). Study attrition was also substantial. We obtained follow-up data from 44.6% (50/112) of enrolled participants. Among those in the treatment group who tried the intervention, the instrumental variables estimate of the local average treatment effect was an increase in the probability of contraceptive uptake of 41.0 percentage points (95% uncertainty interval -0.03 to 0.85). CONCLUSIONS: This randomized encouragement design and study protocol is feasible but requires modifications to the recruitment, encouragement, and follow-up data collection procedures. TRIAL REGISTRATION: ClinicalTrials.gov NCT03224390; https://clinicaltrials.gov/ct2/show/NCT03224390 (Archived by WebCite at http://www.webcitation.org/70yitdJu8).

Developing and validating a perinatal depression screening tool in Kenya blending Western criteria with local idioms: A mixed methods study.

BACKGROUND: Routine screening for perinatal depression is not common in most primary health care settings. The U.S. Preventive Services Task Force only recently updated their recommendation on depression screening to specifically recommend screening during the pre- and postpartum periods. While practitioners in high-income countries can respond to this new recommendation by implementing one of several existing depression screening tools developed in Western contexts, such as the Edinburgh Postnatal Depression Scale (EPDS) or the Patient Health Questionnaire-9 (PHQ-9), these tools lack strong evidence of cross-cultural equivalence, validity for case finding, and precision in measuring response to treatment in developing countries. Thus, there is a critical need to develop and validate new screening tools for perinatal depression that can be used by lay health workers, primary health care personnel, and patients. METHODS: Working in rural Kenya, we used free listing, card sorting, and item analysis methods to develop a locally-relevant screening tool that blended Western psychiatric concepts with local idioms of distress. We conducted a validation study with a random sample of 193 pregnant women and new mothers to test the diagnostic accuracy of this scale along with the EPDS and PHQ-9. RESULTS: The sensitivity/specificity of the EPDS and PHQ-9 was estimated to be 0.70/0.72 and 0.70/0.73, respectively. This compared to sensitivity/specificity of 0.90/0.90 for a new 9-item locally-developed tool called the Perinatal Depression Screening (PDEPS). Across these three tools, internal consistency reliability ranged from 0.77 to 0.81 and test-retest reliability ranged from 0.57 to 0.67. The prevalence of depression ranges from 5.2% to 6.2% depending on the clinical reference standard. CONCLUSION: The EPDS and PHQ-9 are valid and reliable screening tools for perinatal depression in rural Western Kenya, the PDEPS may be a more useful alternative. At less than 10%, the prevalence of depression in this region appears to be lower than other published estimates for African and other low-income countries.

Associations Between Fathers' and Sons' Sexual Risk in Rural Kenya: The Potential for Intergenerational Transmission.

PURPOSE: Despite high rates of HIV in areas of Sub-Saharan Africa and men's role in driving the epidemic, little is known about whether or how sexual risk-both behaviors and beliefs-may be passed down through generations of males. This study examined associations between sexual risk behaviors and sex-related beliefs of adolescent males and those of their male caregivers in Kenya, as well as the potential moderating effects of parenting characteristics and father-son relationship quality. METHODS: Cross-sectional linear regression analysis was applied to baseline data from a trial of a family- and church-based intervention for families in rural Kenya that followed a stepped-wedge cluster randomized design. Our subsample consisted of 79 male caregiver and son (aged 10-16 years) dyads. RESULTS: Results demonstrated a direct relationship between fathers' and sons' sex-related beliefs that was not moderated by parenting or quality of father-son relationship. Parenting/relationship characteristics did moderate the relationship between fathers' and sons' sexual behavior; if fathers did not engage in high-risk sex and exhibited more positive parenting/higher relationship quality, their sons were less likely to be sexually active. Among fathers having high-risk sex, parenting was unrelated to sons' behavior except at very high levels of positive parenting/relationship quality; at these levels, sons were actually more likely to have had sex. CONCLUSIONS: Findings support recommendations to include male caregivers in youth HIV prevention efforts, potentially by targeting fathers' parenting strategies and their individual risk.

Participatory mapping in low-resource settings: Three novel methods used to engage Kenyan youth and other community members in community-based HIV prevention research.

Understanding the link between health and place can strengthen the design of health interventions, particularly in the context of HIV prevention. Individuals who might one day participate in such interventions - including youth - may further improve the design if engaged in a meaningful way in the formative research process. Increasingly, participatory mapping methods are being used to achieve both aims. We describe the development of three innovative mapping methods for engaging youth in formative community-based research: 'dot map' focus groups, geocaching games, and satellite imagery-assisted daily activity logs. We demonstrate that these methods are feasible and acceptable in a low-resource, rural African setting. The discussion outlines the merits of each method and considers possible limitations.