Application of a Multistate Model to Evaluate Visit Burden and Patient Stability to Improve Sustainability of Human Immunodeficiency Virus Treatment in Zambia.
dc.contributor.affiliation | Division of Epidemiology, University of California Berkeley. | |
dc.contributor.affiliation | Division of HIV/AIDS, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco General Hospital. | |
dc.contributor.affiliation | Centre for Infectious Diseases Research in Zambia, Lusaka. | |
dc.contributor.affiliation | Department of Epidemiology and Biostatistics, University of California, San Francisco. | |
dc.contributor.affiliation | University of Alabama, Birmingham. | |
dc.contributor.affiliation | Johns Hopkins University School of Medicine, Baltimore, Maryland. | |
dc.contributor.affiliation | CIDRZ | |
dc.contributor.affiliation | Centre for Infectious Disease Research in Zambia (CIDRZ) | |
dc.contributor.author | Roy M | |
dc.contributor.author | Holmes C | |
dc.contributor.author | Sikazwe I | |
dc.contributor.author | Savory T | |
dc.contributor.author | Mwanza MW | |
dc.contributor.author | Bolton Moore C | |
dc.contributor.author | Mulenga K | |
dc.contributor.author | Czaicki N | |
dc.contributor.author | Glidden DV | |
dc.contributor.author | Padian N | |
dc.contributor.author | Geng E | |
dc.date.accessioned | 2025-05-23T11:41:34Z | |
dc.date.issued | 2018-Sep-28 | |
dc.description.abstract | BACKGROUND: Differentiated service delivery (DSD) for human immunodeficiency virus (HIV)-infected persons who are clinically stable on antiretroviral therapy (ART) has been embraced as a solution to decrease access barriers and improve quality of care. However, successful DSD implementation is dependent on understanding the prevalence, incidence, and durability of clinical stability. METHODS: We evaluated visit data in a cohort of HIV-infected adults who made at least 1 visit between 1 March 2013 and 28 February 2015 at 56 clinics in Zambia. We described visit frequency and appointment intervals using conventional stability criteria and used a mixed-effects linear regression model to identify predictors of appointment interval. We developed a multistate model to characterize patient stability over time and calculated incidence rates for transition between states. RESULTS: Overall, 167819 patients made 3418018 post-ART initiation visits between 2004 and 2015. Fifty-four percent of visits were pharmacy refill-only visits, and 24% occurred among patients on ART for >6 months and whose current CD4 was >500 cells/mm3. Median appointment interval at clinician visits was 59 days, and time on ART and current CD4 were not strong predictors of appointment interval. Cumulative incidence of clinical stability was 66.2% at 2 years after enrollment, but transition to instability (31 events per 100 person-years) and lapses in care (41 events per100 person-years) were common. CONCLUSIONS: Current facility-based care was characterized by high visit burden due to pharmacy refills and among treatment-experienced patients. Differentiated service delivery models targeted toward stable patients need to be adaptive given that clinical stability was highly transient and lapses in care were common. | |
dc.identifier.doi | 10.1093/cid/ciy285 | |
dc.identifier.uri | https://pubs.cidrz.org/handle/123456789/10508 | |
dc.source | Clinical infectious diseases : an official publication of the Infectious Diseases Society of America | |
dc.title | Application of a Multistate Model to Evaluate Visit Burden and Patient Stability to Improve Sustainability of Human Immunodeficiency Virus Treatment in Zambia. |