19 research outputs found

    Prevalence and risk factors for gender based violence during pregnancy in Kisumu county Kenya

    Get PDF
    Background: Gender Based Violence (GBV) is a pervasive and systemic public health problem affecting pregnant women but there is paucity of data on the magnitude of GBV during pregnancy and the factors associated with it in Kenya, particularly in areas where the prevalence of GBV in the general population is unacceptably high.Objectives: To determine the prevalence and factors associated with GBV during pregnancy in Kisumu County.Design: A cross sectional survey conducted between May and October 2016. Multivariate Logistic Regression was performed and the Odds Ratio (OR) at 95% Confidence Interval (CI) calculated to identify the factors associated with GBV.Setting: Two public primary health care facilities in each of the six sub counties in Kisumu County.Subjects: 691 eligible pregnant women attending antenatal care in the selected facilities responded to a questionnaire and were screened for GBV.Results: The mean and median age was 24.5 and 24 years respectively, and the age at sexual debut was 16.7 2.2 years. Thirty nine (39.2%) had experienced physical violence during the current pregnancy, perpetrated by an intimate partner (97%).Increased risk of violence was associated with having secondary level of education or more in the women OR=2.088,95% CI[1.147-3.802],occasional alcohol consumption by the intimate partner(IP) OR=2.843, 95%CI[1.519-4.059], witnessing violence as a child OR=3.380, 95%CI[2.427-6.046] and prior experience of physical OR=13.116,95%CI[7.976-21.569] or sexual violence OR=4.208,95% CI[2.603-6.803]. Male partner dominance in decision making, OR=5.930, 95%CI [3.998-8.797] and infidelity by the woman OR=3.442, 95% CI [1.696-9.686] or her IP, OR=9.906, 95% CI [6.088-16.119] were associated with increased violence. The belief in the social superiority of a man OR=3.949, 95%CI [2.044-7.631], man’s right to assert over a woman OR=3.163, 95%CI [1.930-5.185] and the belief that women should tolerate violence to save a relationship/marriage OR=9.493, 95% CI [5.746-5.681] were predictors of increased violence.Conclusion: A substantial proportion of pregnant women experience GBV in Kisumu County. The findings indicate the need for routine screening for GBV at ANC and the potential for initiation of interventions to mitigate the negative effects of violence for the affected women. Approaches targeting beliefs and strengthening of legal structures may be viable primary prevention options.

    Family model of HIV care and treatment: a retrospective study in Kenya

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Nyanza Province, Kenya, had the highest HIV prevalence in the country at 14.9% in 2007, more than twice the national HIV prevalence of 7.1%. Only 16% of HIV-infected adults in the country accurately knew their HIV status. Targeted strategies to reach and test individuals are urgently needed to curb the HIV epidemic. The family unit is one important portal.</p> <p>Methods</p> <p>A family model of care was designed to build on the strengths of Kenyan families. Providers use a family information table (FIT) to guide index patients through the steps of identifying family members at HIV risk, address disclosure, facilitate family testing, and work to enrol HIV-positive members and to prevent new infections. Comprehensive family-centred clinical services are built around these steps. To assess the approach, a retrospective study of patients receiving HIV care between September 2007 and September 2009 at Lumumba Health Centre in Kisumu was conducted. A random sample of FITs was examined to assess family reach.</p> <p>Results</p> <p>Through the family model of care, for each index patient, approximately 2.5 family members at risk were identified and 1.6 family members were tested. The approach was instrumental in reaching children; 61% of family members identified and tested were children. The approach also led to identifying and enrolling a high proportion of HIV- positive partners among those tested: 71% and 89%, respectively.</p> <p>Conclusions</p> <p>The family model of care is a feasible approach to broaden HIV case detection and service reach. The approach can be adapted for the local context and should continue to utilize index patient linkages, FIT adaption, and innovative methods to package services for families in a manner that builds on family support and enhances patient care and prevention efforts. Further efforts are needed to increase family member engagement.</p

    Disseminated Mycobacterium-Avium Infection Among Hiv-Infected Patients in Kenya

    No full text
    Previous studies from Africa have been unable to identify disseminated Mycobacterium avium complex (MAC) infection in patients with advanced human immunodeficiency virus (HIV) infection. We performed mycobacterial blood cultures and CD4 counts on 48 symptomatic adults with advanced HIV infection admitted to the hospital in Nairobi, Kenya over 4 weeks in 1992. Fourteen patients had mycobacteremia; these patients had significantly lower CD4 counts than the patients with negative cultures (14/mm vs. 85/mm; p < 0.01). Three patients (6%) were bacteremic with M. avium (mean CD4 count, 10/mm) and 11 (23%) were bacteremic with Mycobacterium tuberculosis complex (MTB) (mean CD4 count, 15/mm). Thus, M. avium bacteremia was detected significantly less frequently in the study population than MTB bacteremia (p = 0.04). The minimum rate for HIV-associated disseminated M. avium infection in patients admitted to the hospital in Nairobi was estimated to be approximately 1%. Patients with mycobacteremia died or were discharged home sick before the diagnosis was made. Disseminated M. avium does occur in adults with advanced HIV infection in sub-Saharan Africa, but is less common than disseminated MTB
    corecore