Priority mental, neurological and substance use disorders in rural Kenya: Traditional health practitioners’ and primary health care workers’ perspectives

Background: Over 75% of people with mental neurological and substance use disorders (MNSD) live in low and middle-income countries with limited access to specialized care. The World Health Organization’s Mental Health Gap Action Program (mhGAP) aims to address the human resource gap but it requires contextualization. Aim: We conducted a qualitative study in rural coastal Kenya to explore the local terms, perceived causes and management modalities of priority MNSD listed in the mhGAP, to inform implementation in this setting. Methods: We conducted 8 focus group discussions with primary health care providers and traditional health practitioners and used the framework method to conduct thematic analysis. We identified local terms, perceived causes and treatment options for MNSD. We also explored possibilities for collaboration between the traditional health practitioners and primary health care providers. Results: We found local terms for depression, psychoses, epilepsy, disorders due to substance use and self-harm/ suicide but none for dementia. Child and adolescent mental and behavioral problems were not regarded as MNSD but consequences of poor parenting. Self-harm/suicide was recognized in the context of other MNSD. Causes of MNSD were broadly either biological or supernatural. Treatment options were dependent on perceived cause of illness. Most traditional health practitioners were willing to collaborate with primary health care providers mainly through referring cases. Primary health care providers were unwilling to collaborate with traditional health practitioners because they perceived them to contribute to worsening of patients’ prognoses. Conclusions: Local terms and management modalities are available for some priority MNSD in this setting. Community level case detection and referral may be hindered by lack of collaboration between traditional health practitioners and primary health care providers. There is need for training on the recognition and management of all priority MNSD

Effectiveness of participatory video in lowering stigma against people with mental, neurological and substance use disorders in Kenya

Background Globally, stigma associated with mental, neurological and substance use (MNS) disorders is rampant and a barrier to good health and overall well-being of people with these conditions. Person-centred digital approaches such as participatory video may reduce stigma, but evidence on their effectiveness in Africa is absent. Aims To evaluate the effectiveness of participatory video in reducing mental health-related stigma in a resource-limited setting. Method We evaluated the effectiveness of using participatory video and face-to-face interaction between people with MNS disorders and a target audience in lowering stigma among 420 people living in Kilifi, Kenya. Changes in knowledge, attitudes and behaviour (KAB) were measured by comparing baseline scores with scores immediately after watching the participatory videos and 4 months after the intervention. Sociodemographic correlates of stigma scores were examined using multivariable linear regression models. Results Compared with baseline, KAB scores significantly improved at both time points, suggesting reduced stigma levels. At 4 months, the changes in scores were: knowledge (β = 0.20, 95% CI 0.16–0.25; P < 0.01), liberal attitude (β = 1.08, 95% CI 0.98–1.17; P < 0.01), sympathetic attitude (β = 0.52, 95% CI 0.42–0.62; P < 0.01), tolerant attitude (β = 0.72, 95% CI 0.61–0.83; P < 0.01) and behaviour (β = 0.37, 95% CI 0.31–0.43; P < 0.01). Sociodemographic variables were significantly correlated with KAB scores; the correlations were not consistent across the domains. Conclusions Participatory video is a feasible and effective strategy in improving knowledge, attitudes and intended behaviour in a resource-limited setting. Further studies are required to understand the mechanisms through which it lowers stigma and to examine long-term sustainability and the effectiveness of multicomponent interventions

Perspectives on reasons for suicidal behaviour and recommendations for suicide prevention in Kenya: qualitative study

Background: Little is known about the reasons for suicidal behaviour in Africa, and communities’ perception of suicide prevention. A contextualised understanding of these reasons is important in guiding the implementation of potential suicide prevention interventions in specific settings. Aims: To understand ideas, experiences and opinions on reasons contributing to suicidal behaviour in the Coast region of Kenya, and provide recommendations for suicide prevention. Method: We conducted a qualitative study with various groups of key informants residing in the Coast region of Kenya, using in-depth interviews. Audio-recorded interviews were transcribed and translated from the local language before thematic inductive content analysis. Results: From the 25 in-depth interviews, we identified four key themes as reasons given for suicidal behaviour: interpersonal and relationship problems, financial and economic difficulties, mental health conditions and religious and cultural influences. These reasons were observed to be interrelated with each other and well-aligned to the suggested recommendations for suicide prevention. We found six key recommendations from our thematic content analysis: (a) increasing access to counselling and social support, (b) improving mental health awareness and skills training, (c) restriction of suicide means, (d) decriminalisation of suicide, (e) economic and education empowerment and (f) encouraging religion and spirituality. Conclusions: The reasons for suicidal behaviour are comparable with high-income countries, but suggested prevention strategies are more contextualised to our setting. A multifaceted approach in preventing suicide in (coastal) Kenya is warranted based on the varied reasons suggested. Community-based interventions will likely improve and increase access to suicide prevention in this study area

Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study

Background: Identification of convulsive epilepsy in sub-Saharan Africa relies on access to resources that are often unavailable. Infrastructure and resource requirements can further complicate case verification. Using machine-learning techniques, we have developed and tested a region-specific questionnaire panel and predictive model to identify people who have had a convulsive seizure. These findings have been implemented into a free app for health-care workers in Kenya, Uganda, Ghana, Tanzania, and South Africa. Methods: In this retrospective case-control study, we used data from the Studies of the Epidemiology of Epilepsy in Demographic Sites in Kenya, Uganda, Ghana, Tanzania, and South Africa. We randomly split these individuals using a 7:3 ratio into a training dataset and a validation dataset. We used information gain and correlation-based feature selection to identify eight binary features to predict convulsive seizures. We then assessed several machine-learning algorithms to create a multivariate prediction model. We validated the best-performing model with the internal dataset and a prospectively collected external-validation dataset. We additionally evaluated a leave-one-site-out model (LOSO), in which the model was trained on data from all sites except one that, in turn, formed the validation dataset. We used these features to develop a questionnaire-based predictive panel that we implemented into a multilingual app (the Epilepsy Diagnostic Companion) for health-care workers in each geographical region. Findings: We analysed epilepsy-specific data from 4097 people, of whom 1985 (48·5%) had convulsive epilepsy, and 2112 were controls. From 170 clinical variables, we initially identified 20 candidate predictor features. Eight features were removed, six because of negligible information gain and two following review by a panel of qualified neurologists. Correlation-based feature selection identified eight variables that demonstrated predictive value; all were associated with an increased risk of an epileptic convulsion except one. The logistic regression, support vector, and naive Bayes models performed similarly, outperforming the decision-tree model. We chose the logistic regression model for its interpretability and implementability. The area under the receiver operator curve (AUC) was 0·92 (95% CI 0·91–0·94, sensitivity 85·0%, specificity 93·7%) in the internal-validation dataset and 0·95 (0·92–0·98, sensitivity 97·5%, specificity 82·4%) in the external-validation dataset. Similar results were observed for the LOSO model (AUC 0·94, 0·93–0·96, sensitivity 88·2%, specificity 95·3%). Interpretation: On the basis of these findings, we developed the Epilepsy Diagnostic Companion as a predictive model and app offering a validated culture-specific and region-specific solution to confirm the diagnosis of a convulsive epileptic seizure in people with suspected epilepsy. The questionnaire panel is simple and accessible for health-care workers without specialist knowledge to administer. This tool can be iteratively updated and could lead to earlier, more accurate diagnosis of seizures and improve care for people with epilepsy

Burden of neurodevelopmental disorders in low and middle-income countries: A systematic review and meta-analysis

Abstract: Childhood mortality from infectious diseases has declined steadily in many low and middle-income (LAMIC) countries, with increased recognition of non-communicable diseases such as neurodevelopmental disorders (NDD). There is lack of data on the burden of NDD in LAMIC. Current global burden of these disorders are largely extrapolated from high-income countries. The main objective of the study was therefore to estimate the burden of NDD in LAMIC using meta-analytic techniques. Methods: We systematically searched online databases including Medline/PubMed, PsychoInfo, and Embase for studies that reported prevalence or incidence of NDD. Pooled prevalence, heterogeneity and risk factors for prevalence were determined using meta-analytic techniques. Results: We identified 4,802 records, but only 51 studies met the eligibility criteria. Most studies were from Asia-Pacific (52.2%) and most were on neurological disorders (63.1%). The median pooled prevalence per 1,000 for any NDD was 7.6 (95%CI 7.5-7.7), being 11.3 (11.7-12.0) for neurological disorders and 3.2 (95%CI 3.1-3.3) for mental conditions such as attention-deficit hyperactivity disorder (ADHD). The type of NDD was significantly associated with the greatest prevalence ratio in the multivariable model (PR=2.6(95%CI 0.6-11.6) (P\u3e0.05). Incidence was only reported for epilepsy (mean of 447.7 (95%CI 415.3-481.9) per 100,000). Perinatal complications were the commonest risk factor for NDD. Conclusion: The burden of NDD in LAMIC is considerable. Epidemiological surveys on NDD should screen all types of NDD to provide reliable estimates

Validating measures of stigma against those with mental illness among a community sample in Kilifi Kenya

Background Stigma against persons with mental illness is a universal phenomenon, but culture influences the understanding of etiology of mental illness and utilization of health services. Methods We validated Kiswahili versions of three measures of stigma which were originally developed in the United Kingdom: Community Attitudes Toward the Mentally Ill Scale (CAMI), Reported and Intended Behaviors Scale (RIBS) and Mental Health Awareness Knowledge Schedule (MAKS) and evaluated their psychometric properties using a community sample (N = 616) in Kilifi, Kenya. Results Confirmatory factor analysis confirmed the one-factor solution for RIBS [root mean-squared error of approximation (RMSEA) < 0.01, comparative fit index (CFI) = 1.00, Tucker–Lewis index (TLI) = 1.01] and two-factor solution for MAKS (RMSEA = 0.04, CFI = 0.96, TLI = 0.95). A 23-item, three-factor model provided the best indices of goodness of fit for CAMI (RMSEA = 0.04, CFI = 0.90, TLI = 0.89). MAKS converged with both CAMI and RIBS. Internal consistency was good for the RIBS and acceptable for CAMI and MAKS. Test–retest reliabilities were excellent for RIBS and poor for CAMI and MAKS, but kappa scores for inter-rater agreement were relatively low for these scales. Results support validity of the original MAKS and RIBS scale and a modified CAMI scale and suggest that stigma is not an enduring trait in this population. The low kappa scores are consistent with first kappa paradox which is due to adjustment for agreements by chance in case of marginal prevalence values. Conclusions Kiswahili versions of the MAKS, RIBS and a modified version of the CAMI are valid for use in the study population. Stigma against people with mental illness may not be an enduring trait in this population

Adult Wilms’ tumour in pregnancy

Wilms’ tumor (nephroblastoma) is the most common primary renal malignancy in children, with a peak presentation in the ages 3-4 years. Wilms’ tumor is extremely rare in adults with around 300 cases described in literature. This presents both a diagnostic and treatment challenge in adults due to lack of standard protocols. Herein, we report a case of a 28-year-old primigravida who underwent nephrectomy postpartum for presumed renal cell carcinoma that was diagnosed as Wilms’ tumor at histology. This case is being reported on account of its peculiar presentation, and its presentation in pregnancy, to provoke further research and thus improve management in the adult patient