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1.
J Affect Disord ; 225: 413-421, 2018 01 01.
Article in English | MEDLINE | ID: mdl-28850856

ABSTRACT

BACKGROUND: Low-and-Middle-Income-Countries (LMICs) account for 75% of global suicides. While primary care populations in high-income countries (HIC) typically have higher prevalence of suicidal behavior relative to general populations, few studies have explored suicidal behavior among general medical outpatients in LMICs. This study addresses the research gap by characterizing potential risk factors for suicidal ideation in a large general medical outpatient setting in rural Kenya. METHODS: A cross-sectional study of adult general medical outpatients attending a rural sub-county hospital in Kaloleni, Kenya. Primary outcomes included major depressive disorder (MDD), posttraumatic stress disorder (PTSD) and suicidal behavior measured by the Mini International Neuropsychiatric Interview (MINI 5.0). We use binary logistic regression to model suicidality, mental disorders, intimate partner violence, and lifetime abuse. RESULTS: 394 outpatients completed the assessment. The prevalence of SI over the past month was 20%. 18% of those with suicidal ideation over the past month also attempted suicide in the past month. Participants who met criteria for MDD (suicidality item removed) were 19 times [CI: 4.56, 79.05] more likely to report suicidal ideation compared to those without MDD (adjusted odds ratio 12.15 [CI: 2.66, 55.49]). LIMITATIONS: This was a cross sectional study design with convenience sampling and hence vulnerable to selection and recall bias. CONCLUSION: The prevalence of SI and its strong association with actual suicide attempt in this population, make an urgent public health case for intervention. These data identify MDD as a highly significant correlate of SI.


Subject(s)
Outpatients/statistics & numerical data , Rural Population/statistics & numerical data , Suicidal Ideation , Suicide/statistics & numerical data , Adolescent , Adult , Cross-Sectional Studies , Depressive Disorder, Major/epidemiology , Depressive Disorder, Major/psychology , Female , Humans , Kenya/epidemiology , Male , Middle Aged , Odds Ratio , Outpatients/psychology , Prevalence , Risk Factors , Suicide/psychology , Suicide, Attempted/psychology , Suicide, Attempted/statistics & numerical data , Young Adult
2.
S Afr Med J ; 106(10): 1021-1036, 2016 Sep 08.
Article in English | MEDLINE | ID: mdl-27725024

ABSTRACT

BACKGROUND: Information on adverse events (AEs) in hospitalised patients in developing countries is scanty. OBJECTIVE: To compare the magnitude and characteristics of inpatient AEs in a tertiary, not-for-profit healthcare facility in Kenya, using medical records review and incident reporting. METHODS: Estimation of prevalence was done using incidents reported in 2010 from a random sample of medical records for hospital admissions. Nurse reviewers used 18 screening criteria, followed by physician reviewers to confirm occurrence. An AE was defined as an unexpected clinical event (UE) associated with death, disability or prolonged hospitalisation not explained by the disease condition. The kappa statistic was used to estimate inter-rater agreement, and analysis was done using logistic regression. RESULTS: The study identified 53 UEs from 2 000 randomly selected medical records and 33 reported UEs from 23 026 admissions in the index year. The prevalences of AEs from medical records review and incident reports were 1.4% (95% confidence interval (CI) 0.9 - 2.0) and 0.03% (95% CI 0.012 - 0.063), respectively. Compared with incident reporting, review of medical records identified more disability (13.2% v. 0%; p=0.03) and prolonged hospital stays (43.4% v. 18.2%; p=0.02). CONCLUSIONS: Review of medical records is preferable to incident reporting in determining the prevalence of AEs in health facilities with limited inpatient quality improvement experience. Further research is needed to determine whether staff education and a positive culture change through promotion of non-punitive UE reporting or a combination of approaches would improve the comprehensiveness of AE reporting.

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