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Purpose: The objective of this study was to determine the extent of concordance between positive screens for mental disorders by various trained community-based health workers using the WHO mental health Gap Action Programme Intervention Guide (mhGAP-IG) and independently confirmed DSM-IV/ICD-10 diagnoses. Methods: This was a cross-sectional study conducted in Makueni County, Kenya. 40 nurses/clinical officers, 60 Community Health Workers (CHWs), 51 Faith Healers (FHs), and 59 Traditional Healers (THs) from 20 facilities were trained to screen and refer patients with eight priority mental health conditions using the mhGAP-IG. These referrals, as well as referrals from friends or family members, and self-referrals were assessed using the Mini International Neuropsychiatric Instrument (M.I.N.I.) Plus. Concordance between positive screens and M.I.N.I. Plus diagnoses was investigated. Results: 15,078 community members agreed to participate in screening. Of these 12,170 (81%) screened positive for a mental disorder and were referred to their local clinics/hospitals. 8333 (68.5%) of those who were referred went for independent diagnostic assessment at the nearest facility. Positive predictive values varied with different providers and for different conditions. There was over 80% concordance between the initial screen and the M.I.N.I. Plus diagnoses across the different health providers and across all diagnoses. Conclusion: Both formal and informal mental health providers can be trained to successfully and accurately screen for mental health disorders using the mhGAP-IG symptoms. This suggests that community-based non-specialist providers may play a key role in decreasing the mental health treatment gap. Further policy implications are discussed.

Migration and khat use were found to correlate with high rates of psychopathology. In this paper we aimed for assessing baseline multimorbidity and its interactions with a Brief Intervention.In the RCT, 330 male Somali khat users were assigned to treatment conditions (khat use is a predominantly male habit). The ASSIST-linked BI for khat users was administered. Using the TLFB Calendar, the PHQ-9, a Somali short version of the PDS and parts from the CIDI, khat use and comorbidity was assessed. With a regression analysis we tested for the influence of comorbidity and with mixed effect models group differences over time in sleep duration, khat use-time and everyday functioning.We found high rates of baseline multimorbidity: 51% (N = 168) for depression, 22% (N = 74) for PTSD and 23% (N = 73) for khat-psychotic symptoms. Depression and khat-psychotic symptoms, but not PTSD symptoms decreased without group differences. Khat use-time decreased and functional time increased with significant time × group interactions (p ≤ 0.046). Depression and PTSD did not influence therapy success but in participants without comorbid psychopathology, more khat use reduction after the intervention was found (p = 0.024).Somali khat users in Kenya are highly burdened by multimorbidity of depression, PTSD and khat-psychotic symptoms. The main effects for time and differences in healthy vs. mentally ill khat users indicate potential of unspecific support and the specific need for mental health care in combination with substance abuse treatment. The increase of everyday functioning promises more options for alternative activities, preventing excessive use and addiction.

The aim of this study was to estimate the prevalence and correlates of mental disorders among upper primary school children in grades five through seven in Kenya. The Youth Self Report (YSR) instrument was adapted for use in Kenyan schools and administered to 2267 school children in grades five through seven from 23 randomly selected schools. We estimated the prevalence of DSM-IV mental disorders, and used logistic regression analyses to examine the socio-demographic factors associated with each disorder. The prevalence of any mental disorder among Kenyan school children was 37.7 % (95 % CI = 35.7–39.7 %). Somatic complaints were the most prevalent (29.6 %, 95 % CI = 27.8–31.5 %), followed by affective disorders (14.1 %, 95 % CI = 12.7–15.6 %) and conduct disorder (12.5 %, 95 % CI = 11.2–13.9). The presence of one or more comorbid mental disorder was seen among 18.2 % (95 % CI = 16.6–19.8 %) of children. Male sex, living in a peri-urban vs. rural area, being held back in school, having divorced or separated parents, and having an employed mother were associated with an increased likelihood of having most of the mental disorders examined, whereas increasing age was associated with a reduced likelihood. We observed a high prevalence of mental disorders among school children in Kenya. If not detected early, these disorders may interfere with children’s psychological, social, and educational development. Our findings highlight the importance of implementing screening measures in schools that can detect single and multiple disorders in order to improve the mental health and well-being of the next generation.

Knowledge of types and co-morbidities of disorders seen in any facility is useful for clinical practice and planning for services. To study the pattern of co-morbidities of and correlations between psychiatric disorders in in-patients of Mathari Hospital, the premier psychiatric hospital in Kenya. Cross-sectional. All the patients who were admitted at Mathari Hospital in June 2004 and were well enough to participate in the study were approached for informed consent. Trained psychiatric charge nurses interviewed them using the Structured Clinical Interview for DSM-IV Axis I disorders Clinical Version (SCID-I). Information on their socio-demographic profiles and hospital diagnoses was extracted from their clinical notes using a structured format. Six hundred and ninety-one patients participated in the study. Sixty-three percent were male. More than three quarters (78%) of the patients were aged between 21 and 45 years. More than half (59.5%) of the males and slightly less than half (49.4%) of the females were single. All the patients were predominantly of the Christian faith. Over 85% were dependants of another family member and the remainder were heads of households who supported their own families. Schizophrenia, bipolar I disorder, psychosis, substance use disorder and schizo-affective disorder were the most common hospital and differential diagnoses. Of the anxiety disorders, only three patients were under treatment for post-traumatic stress disorder (PTSD). Nearly a quarter (24.6%) of the patients were currently admitted for a similar previous diagnosis. Schizophrenia was the most frequent DSM-IV (Diagnostic and Statistical Manual of Mental Disorders—fourth edition) diagnosis (51%), followed by bipolar I disorder (42.3%), substance use disorder (34.4%) and major depressive illness (24.6%). Suicidal features were common in the depressive group, with 14.7% of this group reporting a suicidal attempt. All DSM-IV anxiety disorders, including obsessive–compulsive disorders, were highly prevalent although, with the exception of three cases of PTSD, none of these anxiety disorders were diagnosed clinically. Traumatic events were reported in 33.3% of the patients. These were multiple and mainly violent events. Despite the multiplicity of these events, only 7.4% of the patients had a PTSD diagnosis in a previous admission while 4% were currently diagnosed with PTSD. The number of DSM-IV diagnoses was more than the total number of patients, suggesting co-morbidity, which was confirmed by significant 2-tailed correlation tests. DSM-IV substance use disorders, major psychiatric disorders and anxiety disorders were prevalent and co-morbid. However, anxiety disorders were hardly diagnosed and therefore not managed. Suicidal symptoms were common. These results call for more inclusive clinical diagnostic practice. Standardized clinical practice using a diagnostic tool on routine basis will go a long way in ensuring that no DSM-IV diagnosis is missed. This will improve clinical management of patients and documentation.