Improving early infant HIV diagnosis in Kenya: study protocol of a cluster-randomized efficacy trial of the HITSystem

Sarah Finocchario-Kessler1, Kathy Goggin2, Samoel Khamadi3,4

  • 1Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS, USA. Skessler2@kumc.edu.

Insights

The HIV Infant Tracking System (HITSystem) improves early infant diagnosis retention and timely service delivery for HIV-exposed infants. This eHealth intervention enhances accountability and communication in prevention of mother-to-child transmission programs.

Area of Science:

  • Public Health
  • Health Informatics
  • Pediatric Infectious Diseases

Background:

  • Early infant diagnosis (EID) is crucial for preventing mother-to-child HIV transmission.
  • Barriers to EID include poor uptake, retention, delayed results, and weak treatment linkage.
  • The HIV Infant Tracking System (HITSystem) is an eHealth intervention designed to streamline EID stakeholder communication and accountability.

Purpose of the Study:

  • To evaluate the impact of the HITSystem on EID outcomes in HIV-exposed infants.
  • To assess the HITSystem's effect on retention, timely service provision, and linkage to care.
  • To determine the cost-effectiveness and feasibility of scaling up the HITSystem.

Main Methods:

  • A phased cluster-randomized controlled trial design was employed.
  • Six government hospitals in Kenya were matched and assigned to intervention or standard care groups.
  • The study evaluated eight primary benchmarks over an 18-month cascade of care, comparing HITSystem deployment to standard care.

Main Results:

  • The HITSystem is hypothesized to significantly improve retention at 9 and 18 months postnatal.
  • The intervention is expected to increase the timely provision of essential services.
  • Potential healthcare system savings are anticipated due to improved efficiency.

Conclusions:

  • The HITSystem shows promise for improving critical EID outcomes in low-resource settings.
  • The study will provide valuable data on the public health impact of eHealth interventions in HIV prevention.
  • Cost-effectiveness analysis will guide future implementation and scale-up strategies.
Abstract

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