Implementation planning for community-based point-of-care HIV testing for infants: Recommendations from community leaders in Kenya.

BACKGROUND: Early infant diagnosis (EID) establishes the presence of HIV infection in HIV-exposed infants and children younger than 18 months of age. EID services are hospital-based, and thus fail to capture HIV-exposed infants who are not brought to the hospital for care. Point-of-care (POC) diagnostic systems deployed in the community could increase the proportion tested and linked to treatment, but little feasibility and acceptability data is available. METHODS: Semi-structured interviews (n = 74) were conducted by a Kenyan team with community members (Community Health Workers/Volunteers [CHW/CHV], Traditional Birth Attendants [TBAs], community leaders) and parents of HIV-exposed infants at four study sites in Kenya to elicit feedback on the acceptability and feasibility of community-based POC HIV testing. RESULTS: Participants described existing community health resources that could be leveraged to support integration of community-based POC HIV testing; however, the added demand placed on CHW/CHV could pose a challenge. Participants indicated that other potential barriers (concerns about confidentiality, disclosure, and HIV stigma) could be overcome with strong engagement from trusted community leaders and health providers, community sensitization, and strategic location and timing of testing. These steps were seen to improve acceptability and maximize the recognized benefits (rapid results, improved reach) of community-based testing. CONCLUSION: Community members felt that with strategic planning and engagement, community-based POC HIV testing could be a feasible and acceptable strategy to overcome the existing barriers of hospital-based EID.

Implementing eHealth Technology to Address Gaps in Early Infant Diagnosis Services: Qualitative Assessment of Kenyan Provider Experiences.

BACKGROUND: Literature suggests that electronic health (eHealth) interventions can improve the efficiency and accuracy of health service delivery and improve health outcomes and are generally well received by patients; however, there are limited data on provider experiences using eHealth interventions in resource-limited settings. The HIV Infant Tracking System (HITSystem) is an eHealth intervention designed to improve early infant diagnosis (EID) outcomes among HIV-exposed infants. OBJECTIVE: We aimed to compare provider experiences with standard EID and HITSystem implementation at 6 Kenyan hospitals and 3 laboratories. The objective of this study was to better understand provider experiences implementing and using the HITSystem in order to assess facilitators and barriers that may impact adoption and sustainability of this eHealth intervention. METHODS: As part of a randomized controlled trial to evaluate the HITSystem, we conducted semistructured interviews with 17 EID providers at participating intervention and control hospitals and laboratories. RESULTS: Providers emphasized the perceived usefulness of the HITSystem, including improved efficiency in sample tracking and patient follow-up, strengthened communication networks among key stakeholders, and improved capacity to meet patient needs compared to standard EID. These advantages were realized from an intervention that providers saw as easy to use and largely compatible with workflow. However, supply stock outs and patient psychosocial factors (including fear of HIV status disclosure and poverty) provided ongoing challenges to EID service provision. Furthermore, slow or sporadic internet access and heavy workload prevented real-time HITSystem data entry for some clinicians. CONCLUSIONS: Provider experiences with the HITSystem indicate that the usefulness of the HITSystem, along with the ease with which it is able to be incorporated into hospital workflows, contributes to its sustained adoption and use in Kenyan hospitals. To maximize implementation success, care should be taken in intervention design and implementation to ensure that end users see clear advantages to using the technology and to account for variations in workflows, patient populations, and resource levels by allowing flexibility to suit user needs. TRIAL REGISTRATION: ClinicalTrials.gov NCT02072603; https://clinicaltrials.gov/ct2/show/NCT02072603 (Archived by WebCite at http://www.webcitation.org/71NgMCrAm).