The prevention of mother-To-child transmission of HIV cascade analysis tool: Supporting health managers to improve facility-level service delivery

被引:28
作者
Gimbel S. [1 ,2 ,3 ]
Voss J. [2 ,4 ]
Mercer M.A. [2 ]
Zierler B. [4 ]
Gloyd S. [2 ,3 ]
Coutinho M.D.J. [5 ]
Floriano F. [5 ]
Cuembelo M.D.F. [6 ]
Einberg J. [7 ]
Sherr K. [2 ,3 ]
机构
[1] Department of Family Child Nursing, University of Washington, Box 357262, Seattle
[2] Department of Global Health, University of Washington, Seattle
[3] Health Alliance International, Seattle, WA
[4] Department of Biobehavioral Nursing and Health Systems, University of Washington, Seattle
[5] Health Alliance International, Beira
[6] University of Eduardo Mondlane, Maputo
[7] Consultant, Seattle
基金
美国国家卫生研究院;
关键词
Cascade analysis; HIV; Implementation science; Mozambique; PMTCT; Systems analysis and improvement;
D O I
10.1186/1756-0500-7-743
中图分类号
学科分类号
摘要
Background: The objective of the prevention of Mother-To-Child Transmission (pMTCT) cascade analysis tool is to provide frontline health managers at the facility level with the means to rapidly, independently and quantitatively track patient flows through the pMTCT cascade, and readily identify priority areas for clinic-level improvement interventions. Over a period of six months, five experienced maternal-child health managers and researchers iteratively adapted and tested this systems analysis tool for pMTCT services. They prioritized components of the pMTCT cascade for inclusion, disseminated multiple versions to 27 health managers and piloted it in five facilities. Process mapping techniques were used to chart PMTCT cascade steps in these five facilities, to document antenatal care attendance, HIV testing and counseling, provision of prophylactic anti-retrovirals, safe delivery, safe infant feeding, infant follow-up including HIV testing, and family planning, in order to obtain site-specific knowledge of service delivery. Results: Seven pMTCT cascade steps were included in the Excel-based final tool. Prevalence calculations were incorporated as sub-headings under relevant steps. Cells not requiring data inputs were locked, wording was simplified and stepwise drop-offs and maximization functions were included at along the cascade. While the drop off function allows health workers to rapidly assess how many patients were lost at each step, the maximization function details the additional people served if only one step improves to 100% capacity while others stay constant. Conclusions: Our experience suggests that adaptation of a cascade analysis tool for facility-level pMTCT services is feasible and appropriate as a starting point for discussions of where to implement improvement strategies. The resulting tool facilitates the engagement of frontline health workers and managers who fill out, interpret, apply the tool, and then follow up with quality improvement activities. Research on adoption, interpretation, and sustainability of this pMTCT cascade analysis tool by frontline health managers is needed. © 2014 Gimbel et al.
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