Substance use among children and young persons appearing in the Nairobi Juvenile Court, Kenya.

OBJECTIVE: To estimate the prevalence and pattern of substance use among children and young persons appearing in the Nairobi Juvenile Court, Kenya. DESIGN: A point prevalence survey. SETTING: The Nairobi Juvenile Court, Kenya. SUBJECTS: Ninety (sixty four males and twenty six females) children and young persons aged 8 to 18 years classified as criminal offenders, group I (60) and those for protection and discipline, group II (30), were selected. METHOD: Socio-demographic and substance use questionnaires were administered to the subject. International classification of diseases, 10th Edition (ICD-10) diagnostic criteria were used. RESULTS: Crude rate for substance use in this study was found to be 39 out of the total sample of 90(43.3%), children and young persons. Of these thirty nine, 33 (85.8%) were males and six(14.2%) were females. Twenty nine (32.2%) used nicotine, 19(21.1%) used volatile hydrocarbons, 8(8.9%) used cannabis six (6.7%) used alcohol, five (5.6%) used khat and three (3.3%) used sedatives. Multiple substance use was also evident. CONCLUSION: This study has shown a high presence of substance use in children and young persons appearing in the Nairobi Juvenile Court.

Psychiatric morbidity among children and young persons appearing in the Nairobi Juvenile Court, Kenya.

OBJECTIVES: To estimate the prevalence and pattern of psychiatric disorders among children and young persons appearing in the Nairobi juvenile court, Kenya. DESIGN: A point prevalence survey. SETTING: The Nairobi Juvenile Court, Kenya. SUBJECTS: Ninety (sixty-four males and twenty-six females) children and young persons aged 8 to 18 years classified as criminal offenders, group I (60), and those for protection and discipline, group II (30), were selected. METHOD: A socio-demographic questionnaire, reporting questionnaire for children (RQC), follow-up interview for children (FIC), present state examination (PSE) and clinical interview were administered to the subjects. International Classification of Diseases, 10th Edition (ICD-10) diagnostic criteria were used. RESULTS: The crude psychiatric morbidity (CPM) rate was 44.4%. ICD-10 documented psychiatric disorders detected in those with CPM were conduct disorders 45%, mixed disorders of conduct and emotion 20%, emotional disorders with onset specific to childhood 20%, mood disorders 12.5% and hyperkinetic disorders 2.5%. CONCLUSION: This study has shown a high presence of psychiatric morbidity in children and young persons appearing in the Nairobi Juvenile Court. These juveniles need and would benefit from mental treatment as recommended in section 18 of Cap 141 of the laws of Kenya; The Children's and Young Persons Act.

Perceived economic and behavioural effects of the mentally ill on their relatives in Kenya: a case study of the Mathari Hospital.

OBJECTIVE: There is no documented evidence in Kenya on relatives' perceptions of economic and behavioural effects of the mentally ill patients and their coping mechanisms. To document what relatives of mentally ill patients perceive to be the economic effects of the patients on the family and how they are affected by and cope with the disturbed behaviours of the patients. METHOD: This was a cross-sectional descriptive study conducted at the Mathari Psychiatric Hospital. Informed consent was obtained from both the relatives and the patients admitted at the hospital. Data on socio-demographic and economic profiles were obtained from the patients and their relatives. The relatives were interviewed using a structured questionnaire to determine what they perceived to be the economic effects of the mental illness, how the various disturbed behaviours of the mentally ill affected them, and how they coped. The data were analysed using SPSS version 11.5 and results are presented in narratives and tables. RESULTS: One hundred and seventy-five relatives and 107 patients were recruited and interviewed. The patients were younger and better educated but economically less well off than their relatives. The relatives perceived that the mentally ill patients caused financial constraints and that various disturbed behaviours, particularly, verbal and physical aggression and refusal of the patient to take medicine or go to hospital, affected the family in different ways. Different coping mechanisms were used, depending on whether or not the behaviours were intrusive. CONCLUSION: Mentally ill patients adversely affect their families in diverse ways. There is need for appropriate policy to address the needs of families with mentally ill patients at the family and community levels. However, these must be evidence-based and this calls for further research.