Relationships between trauma types and psychotic symptoms: A network analysis of patients with psychotic disorders in a large, multi-country study in East Africa.

BACKGROUND: The link between trauma exposure and psychotic disorders is well-established. Further, specific types of trauma may be associated with specific psychotic symptoms. Network analysis is an approach that can advance our understanding of the associations across trauma types and psychotic symptoms. METHODS: We conducted a network analysis with data from 16,628 adult participants (mean age [standard deviation] = 36.3 years [11.5]; 55.8% males) with psychotic disorders in East Africa recruited between 2018 and 2023. We used the Life Events Checklist and the Mini International Neuropsychiatric Interview to determine whether specific trauma types experienced over the life course and specific psychotic symptoms were connected. We used an Ising model to estimate the network connections and bridge centrality statistics to identify nodes that may influence trauma types and psychotic symptoms. RESULTS: The trauma type "exposure to a war zone" had the highest bridge strength, betweenness, and closeness. The psychotic symptom "odd or unusual beliefs" had the second highest bridge strength. Exposure to a war zone was directly connected to visual hallucinations, odd or unusual beliefs, passivity phenomena, and disorganized speech. Odd or unusual beliefs were directly connected to transportation accidents, physical assault, war, and witnessing sudden accidental death. CONCLUSION: Specific trauma types and psychotic symptoms may interact bidirectionally. Screening for psychotic symptoms in patients with war-related trauma and evaluating lifetime trauma in patients with odd or unusual beliefs in clinical care may be considered points of intervention to limit stimulating additional psychotic symptoms and trauma exposure. This work reaffirms the importance of trauma-informed care for patients with psychotic disorders.

Accuracy of PHQ-9 against psychiatric diagnosis for depression among people living with HIV: A multicounty cross-sectional study.

OBJECTIVE: The aim of this study was to assess the performance of the 9-item Patient Health questionnaire (PHQ-9) against psychiatrist diagnosis in PLWH. DESIGN: Cross-sectional analysis of data collected between January 2018 and July 2022 across five sites in Cameroon, Cote d'Ivoire, Kenya, Senegal, and the Republic of Congo. Participants were ≥18 years and receiving HIV care at the participating site. PHQ-9 was administered by study staff followed by a psychiatrist's evaluation within 3 days. RESULTS: Overall, 778 participants with complete data were included: 297 (38.2%) in Cameroon, 132 (17.0%) in Congo, 148 (19.0%) in Cote d'Ivoire, 98 (12.6%) in Kenya, and 103 (13.2%) in Senegal. The area under the curve for PHQ-9 score was generally high ranging from 0.935 (95% CI: 0.893, 0.977) in Cote d'Ivoire to 0.768 (95% CI: 0.589, 0.947) in Congo. However, for the common cut-off score ≥10, sensitivity was low: 50% or lower in Cameroon, Congo and Senegal, 66.7% in Kenya and 70.6% in Cote d'Ivoire. But negative predictive values (NPV) were high: 98.9% (95% CI: 96.9%, 99.8%) in Cameroon, 96.1 (95% CI: 91.1, 98.7) in Cote d'Ivoire, 96.3% (95% CI: 89.7%, 99.2%) in Kenya, 95.7% (95% CI: 90.2%, 98.6%) in Congo, and 89.0% (95% CI: 81.2%, 94.4%) in Senegal. INTERPRETATION: Across all countries, PHQ-9 score ≥10 performed very poorly (low sensitivity) as a tool to identify psychiatrist diagnosed depression. However, the observed high NPV suggests it can be used to rule out depression.

Psychiatric morbidity among patients on treatment for tuberculosis at a tertiary referral hospital in Western Kenya.

BACKGROUND: Mental disorders account for nine percent of the overall global burden of disease and are among the top ten leading causes of disability. Mental illness and tuberculosis share risk factors including poverty, overcrowding, stigma, poor nutrition, substance use and retro-viral disease co-infection. Presence of mental illness in tuberculosis delays health-seeking, affects drug adherence, increases cost of treatment, prolongs disease duration, lowers quality of life, and increases mortality. Early diagnosis, linkage, and treatment of psychiatric morbidity among patients with tuberculosis would improve outcomes for both. This study thus aimed to determine the prevalence and factors associated with psychiatric morbidity among patients on treatment for tuberculosis at a low- middle- income country. METHODS: A cross-sectional study carried out at the tuberculosis clinic at Moi Teaching and Referral Hospital (MTRH), Eldoret, Kenya. 367 participants on TB treatment were interviewed using Mini-International Neuropsychiatric Interview (MINI) tool. The key outcome was presence of psychiatric illness. Pearson's Chi-square and logistic regression were used to assess relationships at bivariate and multivariate level respectively. RESULTS: Majority of the respondents were male (61.3%) and overall median age was 33 years. About half of participants (48.5%) had at least one psychiatric illness. Common disorders were alcohol use disorder (30.3%), depression (23.4%), substance use disorder (12.8%) and suicidality (8.2%). Odds of 'any psychiatric illness' were increased by being male (aOR = 1.92; P = 0.04), being separated or divorced (aOR = 6.86; P = 0.002), using alcohol (aOR = 3.2; P<0.001), having been previously treated for tuberculosis (aOR = 2.76; P = 0.01), having other medical comorbidities (aOR = 4.2; P = 0.004) and family history of mental illness (aOR = 2.4; P = 0.049). CONCLUSION: Almost half of the patients on treatment for tuberculosis had at least one psychiatric illness. Introduction of protocols for screening for mental illness and integration of mental health services with tuberculosis care would aid prompt diagnosis, referral, and quality of care.

Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults.

The Kessler Psychological Distress Scale (K10) has been widely used to screen psychological distress across many countries. However, its performance has not been extensively studied in Africa. The present study sought to evaluate and compare measurement properties of the K10 across four African countries: Ethiopia, Kenya, Uganda, and South Africa. Our hypothesis is that the measure will show equivalence across all. Data are drawn from a neuropsychiatric genetic study among adult participants (N = 9179) from general medical settings in Ethiopia (n = 1928), Kenya (n = 2556), Uganda (n = 2104), and South Africa (n = 2591). A unidimensional model with correlated errors was tested for equivalence across study countries using confirmatory factor analyses and the alignment optimization method. Results displayed 30 % noninvariance (i.e., variation) for both intercepts and factor loadings across all countries. Monte Carlo simulations showed a correlation of 0.998, a good replication of population values, indicating minimal noninvariance, or variation. Items "so nervous," "lack of energy/effortful tasks," and "tired" were consistently equivalent for intercepts and factor loadings, respectively. However, items "depressed" and "so depressed" consistently differed across study countries (R2 = 0) for intercepts and factor loadings for both items. The K10 scale likely functions equivalently across the four countries for most items, except "depressed" and "so depressed." Differences in K10 items were more common in Kenya and Ethiopia, suggesting cultural context may influence the interpretation of some items and the potential need for cultural adaptations in these countries.

Adaptation of the Client Diagnostic Questionnaire for East Africa.

Research increasingly involves cross-cultural work with non-English-speaking populations, necessitating translation and cultural validation of research tools. This paper describes the process of translating and criterion validation of the Client Diagnostic Questionnaire (CDQ) for use in a multisite study in Kenya and Uganda. The English CDQ was translated into Swahili, Dholuo (Kenya) and Runyankole/Rukiga (Uganda) by expert translators. The translated documents underwent face validation by a bilingual committee, who resolved unclear statements, agreed on final translations and reviewed back translations to English. A diagnostic interview by a mental health specialist was used for criterion validation, and Kappa statistics assessed the strength of agreement between non-specialist scores and mental health professionals' diagnoses. Achieving semantic equivalence between translations was a challenge. Validation analysis was done with 30 participants at each site (median age 32.3 years (IQR = (26.5, 36.3)); 58 (64.4%) female). The sensitivity was 86.7%, specificity 64.4%, positive predictive value 70.9% and negative predictive value 82.9%. Diagnostic accuracy by the non-specialist was 75.6%. Agreement was substantial for major depressive episode and positive alcohol (past 6 months) and alcohol abuse (past 30 days). Agreement was moderate for other depressive disorders, panic disorder and psychosis screen; fair for generalized anxiety, drug abuse (past 6 months) and Post Traumatic Stress Disorder (PTSD); and poor for drug abuse (past 30 days). Variability of agreement between sites was seen for drug use (past 6 months) and PTSD. Our study successfully adapted the CDQ for use among people living with HIV in East Africa. We established that trained non-specialists can use the CDQ to screen for common mental health and substance use disorders with reasonable accuracy. Its use has the potential to increase case identification, improve linkage to mental healthcare, and improve outcomes. We recommend further studies to establish the psychometric properties of the translated tool.

Association between psychosis and substance use in Kenya. Findings from the NeuroGAP-Psychosis study.

Background: Substance use is prevalent among people with mental health issues, and patients with psychosis are more likely to use and misuse substances than the general population. Despite extensive research on substance abuse among the general public in Kenya, there is a scarcity of data comparing substance use among people with and without psychosis. This study investigates the association between psychosis and various substances in Kenya. Methods: This study utilized data from the Neuro-GAP Psychosis Case-Control Study between April 2018 and December 2022. The KEMRI-Wellcome Trust Research Programme recruited participants from various sites in Kenya, including Kilifi County, Malindi Sub-County, Port Reitz and Coast General Provincial Hospitals, and Moi Teaching and Referral Hospital, as well as affiliated sites in Webuye, Kapenguria, Kitale, Kapsabet, and Iten Kakamega. The collected data included sociodemographic information, substance use, and clinical diagnosis. We used the summary measures of frequency (percentages) and median (interquartile range) to describe the categorical and continuous data, respectively. We examined the association between categorical variables related to psychosis using the chi-square test. Logistic regression models were used to assess the factors associated with the odds of substance use, considering all relevant sociodemographic variables. Results: We assessed a total of 4,415 cases and 3,940 controls. Except for alcohol consumption (p-value=0.41), all forms of substance use showed statistically significant differences between the case and control groups. Cases had 16% higher odds of using any substance than controls (aOR: 1.16, 95%CI: 1.05-1.28, p=0.005). Moreover, males were 3.95 times more likely to use any substance than females (aOR:3.95; 95%CI: 3.43-4.56). All the categories of living arrangements were protective against substance use. Conclusion: The findings of this study suggest that psychotic illnesses are associated with an increased likelihood of using various substances. These findings are consistent with those of previous studies; however, it is crucial to investigate further the potential for reverse causality between psychosis and substance abuse using genetically informed methods.

Making cities mental health friendly for adolescents and young adults.

Urban life shapes the mental health of city dwellers, and although cities provide access to health, education and economic gain, urban environments are often detrimental to mental health1,2. Increasing urbanization over the next three decades will be accompanied by a growing population of children and adolescents living in cities3. Shaping the aspects of urban life that influence youth mental health could have an enormous impact on adolescent well-being and adult trajectories4. We invited a multidisciplinary, global group of researchers, practitioners, advocates and young people to complete sequential surveys to identify and prioritize the characteristics of a mental health-friendly city for young people. Here we show a set of ranked characteristic statements, grouped by personal, interpersonal, community, organizational, policy and environmental domains of intervention. Life skills for personal development, valuing and accepting young people's ideas and choices, providing safe public space for social connection, employment and job security, centring youth input in urban planning and design, and addressing adverse social determinants were priorities by domain. We report the adversities that COVID-19 generated and link relevant actions to these data. Our findings highlight the need for intersectoral, multilevel intervention and for inclusive, equitable, participatory design of cities that support youth mental health.

The Shortfalls of Mental Health Compartment Models: A Call to Improve Mental Health Investment Cases in Developing Countries.

OBJECTIVES: There are irregularities in investment cases generated by the Mental Health Compartment Model. We discuss these irregularities and highlight the costing techniques that may be introduced to improve mental health investment cases. METHODS: This analysis uses data from the World Bank, the World Health Organization Mental Health Compartment Model, the United Nations Development Program, the Kenya Ministry of Health, and Statistics from the Kenyan National Commission of Human Rights. RESULTS: We demonstrate that the Mental Health Compartment Model produces irrelevant outcomes that are not helpful for clinical settings. The model inflated the productivity gains generated from mental health investment. In some cases, the model underestimated the economic costs of mental health. Such limitation renders the investment cases poor in providing valuable intervention points from the perspectives of both the users and the providers. CONCLUSIONS: There is a need for further calibration and validation of the investment case outcomes. The current estimated results cannot be used to guide service provision, research, and mental health programming comprehensively.

Resilience and associated factors in orphaned and separated adolescents in Kenya: Understanding the relationship with care environment and HIV risks.

Orphans are at higher risk of HIV infection and several important HIV risk factors than non-orphans; however, this may be due to a combination of related social, psychological, and economic factors, as well as care environment, rather than orphan status alone. Understanding these complex relationships may aid policy makers in supporting evidence-based, cost-effective programming for this vulnerable population. This longitudinal study uses a causal effect model to examine, through decomposition, the relationship between care environment and HIV risk factors in orphaned and separated adolescents and youths (OSAY) in Uasin Gishu County, Kenya; considering resilience, social, peer, or family support, volunteering, or having one's material needs met as potential mediators. We analysed survey responses from 1105 OSAY age 10-26 living in Charitable Children's Institutions (CCI) (orphanages) and family-based care settings (FBS). Follow-up time was 7-36 months. Care in CCIs (vs. FBS) was associated with a decreased likelihood of engaging in forced, exchange, and consensual sex. Excess relative risks (ERR) attributable to the indirect pathway, mediation, or interaction were not significant in any model. Care environment was not statistically associated with differences in substance use. Our findings support the direct, unmediated, association between institutional care and HIV risk factors.

Prevalence of lifestyle cardiovascular risk factors and estimated framingham 10-year risk scores of adults with psychotic disorders compared to controls at a referral hospital in Eldoret, Kenya.

INTRODUCTION: Lifestyle factors such as smoking, alcohol use, suboptimal diet, and inadequate physical activity have been associated with increased risk of cardiovascular diseases. There are limited data on these risk factors among patients with psychosis in low- and middle-income countries. OBJECTIVES: This study aimed to establish the prevalence of lifestyle cardiovascular risk factors, and the 10-year cardiovascular risk scores and associated factors in patients with psychosis compared to controls at Moi Teaching and Referral Hospital in Eldoret, Kenya. METHODS: A sample of 297 patients with schizophrenia, schizoaffective disorder, or bipolar mood disorder; and 300 controls matched for age and sex were included in this analysis. A study specific researcher-administered questionnaire was used to collect data on demographics, antipsychotic medication use, smoking, alcohol intake, diet, and physical activity. Weight, height, abdominal circumference, and blood pressure were also collected to calculate the Framingham 10-year Cardiovascular Risk Score (FRS), while blood was drawn for measurement of glucose level and lipid profile. Pearson's chi-squared tests and t-tests were employed to assess differences in cardiovascular risk profiles between patients and controls, and a linear regression model was used to determine predictors of 10-year cardiovascular risk in patients. RESULTS: Compared to controls, patients with psychosis were more likely to have smoked in their lifetimes (9.9% vs. 3.3%, p = 0.006) or to be current smokers (13.8% vs. 7%, p = 0.001). Over 97% of patients with psychosis consumed fewer than five servings of fruits and vegetables per week; 78% engaged in fewer than three days of vigorous exercise per week; and 48% sat for more than three hours daily. The estimated 10-year risk of CVD was relatively low in this study: the FRS in patients was 3.16, compared to 2.93 in controls. The estimated 10-year cardiovascular risk in patients was significantly associated with female sex (p = 0.007), older patients (p < 0.001), current tobacco smoking (p < 0.001), and metabolic syndrome (p < 0.001). CONCLUSION: In the setting of Eldoret, there is suboptimal physical exercise and intake of healthy diet among patients with psychosis and controls. While the estimated risk score among patients is relatively low in our study, these data may be useful for informing future studies geared towards informing interventions to promote healthy lifestyles in this population.

12-month substance use disorders among first-year university students in Kenya.

OBJECTIVES: The period of entry into university represents one of vulnerability to substance use for university students. The goal of this study is to document the 12-month prevalence of substance use disorders among first year university students in Kenya, and to test whether there is an association between substance use disorders and mental disorders. METHODS: This was a cross-sectional online survey conducted in 2019 and 2020 as part of the World Health Organization's World Mental Health International College Student (WMH-ICS) survey initiative. A total of 334 university students completed the survey. Descriptive statistics were used to summarize the demographic characteristics of the participants. Multivariate logistic regression was used to assess the association between substance use disorder and mental disorders after adjusting for age and gender. RESULTS: The 12-month prevalence for alcohol use disorder was 3.3%, while the 12-month prevalence for other substance use disorder was 6.9%. Adjusting for age and gender, there was an association between any substance use disorder and major depression, generalized anxiety disorder, bipolar 1 disorder, intermittent explosive disorder, social anxiety disorder, suicidal ideation, suicide attempt, and non-suicidal self-injury. CONCLUSION: These findings highlight the need to institute policies and interventions in universities in Kenya that address substance use disorders and comorbid mental disorders among first-year students.

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

OBJECTIVE: This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. APPROACH: The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. EXPECTATION: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches. CONCLUSION: A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.

Role of hospital leadership in pandemic preparedness: experience at a tertiary hospital in Kenya during the COVID-19 pandemic.

INTRODUCTION: Pandemic preparedness refers to being ready for, responding to and recovering from public health crises, and is integral for health security. Hospital leadership is a critical building block of an effective healthcare system, providing policy, accountability and stewardship in a health crisis. OBJECTIVES AND METHODS: We aimed to describe the leadership and governance structures put in place at the Aga Khan University Hospital, Nairobi, a private not-for-profit tertiary healthcare facility, following the COVID-19 pandemic. We reviewed over 200 hospital documents archived in the COVID-19 repository including those received from the Kenya Ministry of Health, emails, memos, bulletins, meeting minutes, protocols, brochures and flyers. We evaluated and described pandemic preparedness at the hospital under four main themes: (a) leadership, governance and incident management structures; (b) coordination and partnerships; (c) communication strategies; and (d) framework to resolve ethical dilemmas. RESULTS: The hospital expeditiously established three emergency governance structures, namely a task force, an operations team and an implementation team, to direct and implement evidence-based preparedness strategies. Leveraging on partners, the hospital ensured that risk analyses and decisions made: (1) were based on evidence and in line with the national and global guidelines, (2) were supported by community leaders and (3) expedite financing for urgent hospital activities. Communication strategies were put in place to ensure harmonised COVID-19 messaging to the hospital staff, patients, visitors and the public to minimise misinformation or disinformation. An ethical framework was also established to build trust and transparency among the hospital leadership, staff and patients. CONCLUSION: The establishment of a hospital leadership structure is crucial for efficient and effective implementation of pandemic preparedness and response strategies which are evidence based, well resourced and ethical. The role of leadership discussed is applicable to healthcare facilities across low and middle-income countries to develop contextualised pandemic preparedness plans.

"Association between Traumatic Life Events and Psychosis: A case-control study in western Kenya".

Globally close to 70% of the general population has experienced at least one traumatic life event (TLE). Although child and adulthood exposure to TLEs is considered a risk factor for the subsequent development of psychosis, few studies have examined the association between trauma and psychosis in the African population. We sought to explore the association between TLEs and psychosis in patients with psychotic disorders (N = 254) and individuals without (N = 254). The participants were matched by age and sex. The study was conducted at a national referral hospital, the Life Events Checklist for DSM-5 (LEC-5) was used to obtain data on TLEs, and ethical approval was obtained from the ethics committee. The proportion of those who experienced TLEs was equal among the cases and controls at about 80%. However, more cases reported that the TLEs happened to them (cases 60.3, p = 0.004). After multivariate analysis, the following specific TLEs remained statistically significant.: Physical assault (aOR = 3.66, 95% CI 2.28-5.48), assaults with a weapon (aOR = 5.26, 95% CI 2.15-10.48), sexual assault (aOR = 4.55, 95% CI 1.08-10.48). The sudden death of a loved one (aOR = 2.33, 95% CI 1.15-4.70) and serious injury/harm to others (aOR = 10.53, 95% CI 1.47-89.37).