Systems Analysis and Improvement Approach for Prevention of MTC HIV Transmission
NCT03425136 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 36
Last updated 2022-05-17
Summary
Optimizing the prevention of mother-to-child HIV transmission cascade minimizes drop offs from one step to the next to maximize the benefits of antiretroviral therapy on maternal health and pediatric survival, growth, and development. This proposal scales-up a health systems intervention (the systems analysis and improvement approach - SAIA) that packages systems engineering methods (including cascade analysis, flow mapping, and continuous quality improvement) and was previously shown to be effective in improving the prevention of mother-to-child HIV transmission cascade. By spreading the SAIA through routine district management structures, and studying the implementation process, this study will build evidence on how to achieve rapid, sustainable and scalable improvements in services that can dramatically improve population health in resource limited countries.
Conditions
Interventions
- OTHER
-
Systems Analysis and Improvement Approach (SAIA)
Five-step systems analysis and iterative improvement cycles applied by district maternal and child health supervisors to subordinate health facilities providing prevention of mother-to-child HIV transmission services at the facility level.
Sponsors & Collaborators
-
Ministry of Health, Mozambique
collaborator OTHER_GOV -
Health Alliance International
collaborator OTHER -
Fred Hutchinson Cancer Center
collaborator OTHER -
National Institute of Mental Health (NIMH)
collaborator NIH - lead OTHER
Principal Investigators
-
Kenneth Sherr, PhD · University of Washington
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- SEQUENTIAL
Eligibility
- Min Age
- 15 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-02-01
- Primary Completion
- 2021-09-30
- Completion
- 2022-03-31
Countries
- Mozambique
Study Locations
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