Cost Analysis of Short Messaging Service and Peer Navigator Interventions for Linking and Retaining Adults Recently Diagnosed With HIV in Care in South Africa

J Acquir Immune Defic Syndr. 2024 Apr 15;95(5):417-423. doi: 10.1097/QAI.0000000000003371.

Abstract

Introduction: Large proportions of people living with HIV (PLHIV) in sub-Saharan Africa are not linked to or retained in HIV care. There is a critical need for cost-effective interventions to improve engagement and retention in care and inform optimal allocation of resources.

Methods: We estimated costs associated with a short message service (SMS) plus peer navigation (SMS+PN) intervention; an SMS-only intervention; and standard of care (SOC), within the I-Care cluster-randomized trial to improve HIV care engagement for recently diagnosed PLHIV. We employed a uniform cost data-collection protocol to quantify resources used and associated costs for each intervention.

Results: Compared with SOC, the SMS+PN intervention cost $1284 ($828-$2859) more per additional patient linked to care within 30 days and $1904 ($1158-$5343) more per additional patient retained in care at 12 months, while improving linkage by 24% (95% CI: 11 to 36) and retention by 16% (95% CI: 6 to 26). By contrast, the SMS-only intervention cost $198 ($93-dominated) more per additional patient linked to care and $697 ($171-dominated) more per additional patient retained in care but was not significantly associated with improvements in linkage (12%; 95% CI: -1 to 25) or retention (3%; 95% CI: -7 to 14) compared with SOC. The efficiency of the SMS+PN intervention could be improved by 46%, to $690 more per additional patient linked and $1023 more per additional patient retained in care, if implemented within the Department of Health using more efficient distribution of staff resources.

Discussion: Findings suggest that scale-up of the SMS+PN intervention could benefit patients, improving care and health outcomes while being cost-effective.

MeSH terms

  • Adult
  • Costs and Cost Analysis
  • Data Collection
  • HIV Infections* / diagnosis
  • Humans
  • South Africa
  • Text Messaging*