In:
JAIDS Journal of Acquired Immune Deficiency Syndromes, Ovid Technologies (Wolters Kluwer Health), Vol. 72, No. 3 ( 2016-07-1), p. e68-e76
Abstract:
Efficacious interventions to prevent mother-to-child HIV transmission (PMTCT) have not translated well into effective programs. Previous studies of systems engineering applications to PMTCT lacked comparison groups or randomization. Methods: Thirty-six health facilities in Côte d'Ivoire, Kenya, and Mozambique were randomized to usual care or a systems engineering intervention, stratified by country and volume. The intervention guided facility staff to iteratively identify and then rectify barriers to PMTCT implementation. Registry data quantified coverage of HIV testing during first antenatal care visit, antiretrovirals (ARVs) for HIV-positive pregnant women, and screening HIV-exposed infants (HEI) for HIV by 6–8 weeks. We compared the change between baseline (January 2013–January 2014) and postintervention (January 2015–March 2015) periods using t -tests. All analyses were intent-to-treat. Results: ARV coverage increased 3-fold [+13.3% points (95% CI: 0.5 to 26.0) in intervention vs. +4.1 (−12.6 to 20.7) in control facilities] and HEI screening increased 17-fold [+11.6 (−2.6 to 25.7) in intervention vs. +0.7 (−12.9 to 14.4) in control facilities] . In prespecified subgroup analyses, ARV coverage increased significantly in Kenya [+20.9 (−3.1 to 44.9) in intervention vs. −21.2 (−52.7 to 10.4) in controls; P = 0.02]. HEI screening increased significantly in Mozambique [+23.1 (10.3 to 35.8) in intervention vs. +3.7 (−13.1 to 20.6) in controls; P = 0.04]. HIV testing did not differ significantly between arms. Conclusions: In this first randomized trial of systems engineering to improve PMTCT, we saw substantially larger improvements in ARV coverage and HEI screening in intervention facilities compared with controls, which were significant in prespecified subgroups. Systems engineering could strengthen PMTCT service delivery and protect infants from HIV.
Type of Medium:
Online Resource
ISSN:
1525-4135
DOI:
10.1097/QAI.0000000000001023
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2016
detail.hit.zdb_id:
2038673-4
