Patient and health worker experiences of differentiated models of care for stable HIV patients in Malawi: A qualitative study

Abstract

Introduction: Several models of differentiated care for stable HIV patients on antiretroviral therapy (ART) in Malawi have been introduced to ensure that care is efficient and patient-centered. Three models have been prioritized by the government for a deeper and broader understanding: adjusted appointment spacing through multi-month scripting (MMS); fast-track drug refills (FTRs) on alternating visits; and community ART groups (CAGs) where rotating group members collect medications at the facility for all members. This qualitative study aimed to understand the challenges and successes of implementing these models of care and of the process of patient differentiation.

Methods: A qualitative study was conducted as a part of a broader process evaluation in 30 purposefully selected ART facilities between February and May 2016. Semi-structured, in-depth interviews with 32 health workers that managed and coordinated ART clinics and 30 focus groups were held with 216 ART patients. Interviews and focus groups were audio recorded, transcribed, and coded thematically.

Results: Participants reported that the models of differentiated care have yielded key benefits, including: reduced patients' travel and visit time, decongestion of facilities, and enhanced social support. Participants suggested that these benefits could lead to improved HIV treatment outcomes for patients. At the same time, some challenges were reported, such as inconsistent stocks of drugs, which can inhibit implementation of MMS. For CAGs, the group-based nature of the model presented some unique problems, such as conflicts within groups or concerns about privacy. Health workers also described some of the reasons why eligible patients may not receive the models or conversely why ineligible patients sometimes get the models.

Conclusions: Documenting patient and health worker perspectives on models of differentiated care is critical to understanding and improving these models. While these models can offer important benefits, the models may not be appropriate for all sites or patients, and patient status and needs may change over time. Key challenges should be recognized and addressed for optimal utilization of the models.