Publications
Department of Medicine faculty members published more than 3,600 peer-reviewed articles in 2024.
2012
2012
2012
BACKGROUND
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.
View on PubMed2012
BACKGROUND
Statins are among the most commonly prescribed medications worldwide. Although their benefits for cardiovascular disease are well established, the effects of statins on depressive symptoms are unknown.
METHOD
We examined the association between baseline statin use (2000-2002) and subsequent depressive symptoms in a prospective cohort study of 965 outpatients with coronary disease from 12 outpatient clinics in the San Francisco Bay Area. Depressive symptoms were assessed annually for 6 years using the Patient Health Questionnaire (PHQ) (primary outcome measure). We evaluated the cross-sectional association between statin use and risk of depressive symptoms at baseline and the longitudinal association between baseline statin use and risk of depressive symptoms during follow-up.
RESULTS
Of the 965 participants, 629 (65%) used statins. At baseline, statin users had lower mean ± SE PHQ depression scores than nonusers (4.8 ± 0.2 vs 5.9 ± 0.3, P < .01). Statin users were less likely than nonusers to have depression (PHQ score ≥ 10) at baseline (17% vs 24%; P = .02) and during follow-up (28% vs 40%; P < .01). Among the 776 patients without depressive symptoms at baseline (PHQ < 10), statin use was associated with a 48% decreased odds of developing depression during follow-up (odds ratio [OR], 0.52; 95% CI, 0.38-0.73; P < .01). After we adjusted for potentially confounding variables, statin use remained associated with a 38% decreased odds of subsequent depression (adjusted OR, 0.62; 95% CI, 0.41-0.95; P = .02).
CONCLUSIONS
We found that statin use was associated with a decreased risk of subsequent depressive symptoms in patients with coronary heart disease. Whether use of statins prevents depressive symptoms deserves further study.
View on PubMed2012
2012