Browsing by Author "Schwartz, Sheree"

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Intimate partner violence polyvictimisation and HIV among coupled women in Zambia: Analysis of a population-based survey.
(2020-Apr) Beres, Laura K.; Merrill, Katherine G.; McGready, John; Denison, Julie A.; Schwartz, Sheree; Sikazwe, Izukanji; Decker, Michele R.
Women in sub-Saharan Africa are disproportionately at risk for the dual epidemics of intimate partner violence (IPV) and HIV. Little is known about how specific violence profiles affect women's HIV risk, limiting effective intervention. We analysed couples' data from the Zambia Demographic and Health Survey 2013-2014 to evaluate relationships among IPV, male partner HIV status and women's HIV status. We considered the individual and combined effects of physical, sexual, emotional, and high controlling behaviour violence and accumulated violence exposure, respectively. Among partnered women, 48.9% (
Patterns and Predictors of Incident Return to HIV Care Among Traced, Disengaged Patients in Zambia: Analysis of a Prospective Cohort.
(2021-Mar-01) Beres, Laura K.; Schwartz, Sheree; Simbeza, Sandra; McGready, John; Eshun-Wilson, Ingrid; Mwamba, Chanda; Sikombe, Kombatende; Topp, Stephanie M.; Somwe, Paul; Mody, Aaloke; Mukamba, Njekwa; Ehrenkranz, Peter D.; Padian, Nancy; Pry, Jake; Moore, Charles B.; Holmes, Charles B.; Sikazwe, Izukanji; Denison, Julie A.; Geng, Elvin
BACKGROUND: Dynamic movement of patients in and out of HIV care is prevalent, but there is limited information on patterns of patient re-engagement or predictors of return to guide HIV programs to better support patient engagement. METHODS: From a probability-based sample of lost to follow-up, adult patients traced by peer educators from 31 Zambian health facilities, we prospectively followed disengaged HIV patients for return clinic visits. We estimated the cumulative incidence of return and the time to return using Kaplan-Meier methods. We used univariate and multivariable Cox proportional hazards regression to conduct a risk factor analysis identifying predictors of incident return across a social ecological framework. RESULTS: Of the 556 disengaged patients, 73.0% [95% confidence interval (CI): 61.0 to 83.8] returned to HIV care. The median follow-up time from disengagement was 32.3 months (interquartile range: 23.6-38.9). The rate of return decreased with time postdisengagement. Independent predictors of incident return included a previous gap in care [adjusted Hazard Ratio (aHR): 1.95, 95% CI: 1.23 to 3.09] and confronting a stigmatizer once in the past year (aHR: 2.14, 95% CI: 1.25 to 3.65). Compared with a rural facility, patients were less likely to return if they sought care from an urban facility (aHR: 0.68, 95% CI: 0.48 to 0.96) or hospital (aHR: 0.52, 95% CI: 0.33 to 0.82). CONCLUSIONS: Interventions are needed to hasten re-engagement in HIV care. Early and differential interventions by time since disengagement may improve intervention effectiveness. Patients in urban and tertiary care settings may need additional support. Improving patient resilience, outreach after a care gap, and community stigma reduction may facilitate return. Future re-engagement research should include causal evaluation of identified factors.
Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis.
(2021-Jan-01) Mody, Aaloke; Sikombe, Kombatende; Beres, Laura K.; Simbeza, Sandra; Mukamba, Njekwa; Eshun-Wilson, Ingrid; Schwartz, Sheree; Pry, Jake; Padian, Nancy; Holmes, Charles B.; Bolton-Moore C; Sikazwe, Izukanji; Geng, Elvin H.
BACKGROUND: Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles. METHODS: We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinics in Zambia. Among those found alive, we ascertained patient-reported reasons for care disruptions. We performed latent class analysis to identify patient subgroups with similar patterns of reasons reported and assessed the association between class membership and care status (ie, disengaged versus silently transferred to a new site). RESULTS: Among 547 patients, we identified 5 profiles of care disruptions: (1) "Livelihood and Mobility" (30.6% of the population) reported work/school obligations and mobility/travel as reasons for care disruptions; (2) "Clinic Accessibility" (28.9%) reported challenges with attending clinic; (3) "Mobility and Family" (21.9%) reported family obligations, mobility/travel, and transport-related reasons; (4) "Doubting Need for HIV care" (10.2%) reported uncertainty around HIV status or need for clinical care, and (5) "Multidimensional Barriers to Care" (8.3%) reported numerous (mean 5.6) reasons across multiple domains. Patient profiles were significantly associated with care status. The "Doubting Need for HIV Care" class were mostly disengaged (97.9%), followed by the "Multidimensional Barriers to Care" (62.8%), "Clinic Accessibility" (62.4%), "Livelihood and Mobility" (43.6%), and "Mobility and Family" (23.5%) classes. CONCLUSION: There are distinct HIV care disruption profiles that are strongly associated with patients' current engagement status. Interventions targeting these unique profiles may enable more effective and tailored strategies for improving HIV treatment outcomes.