Title |
Systems analysis and improvement to optimize pMTCT (SAIA): a cluster randomized trial
|
---|---|
Published in |
Implementation Science, May 2014
|
DOI | 10.1186/1748-5908-9-55 |
Pubmed ID | |
Authors |
Kenneth Sherr, Sarah Gimbel, Alison Rustagi, Ruth Nduati, Fatima Cuembelo, Carey Farquhar, Judith Wasserheit, Stephen Gloyd, With input from the SAIA Study Team |
Abstract |
Despite significant increases in global health investment and the availability of low-cost, efficacious interventions to prevent mother-to-child HIV transmission (pMTCT) in low- and middle-income countries with high HIV burden, the translation of scientific advances into effective delivery strategies has been slow, uneven and incomplete. As a result, pediatric HIV infection remains largely uncontrolled. A five-step, facility-level systems analysis and improvement intervention (SAIA) was designed to maximize effectiveness of pMTCT service provision by improving understanding of inefficiencies (step one: cascade analysis), guiding identification and prioritization of low-cost workflow modifications (step two: value stream mapping), and iteratively testing and redesigning these modifications (steps three through five). This protocol describes the SAIA intervention and methods to evaluate the intervention's impact on reducing drop-offs along the pMTCT cascade. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Ethiopia | 1 | <1% |
South Africa | 1 | <1% |
Canada | 1 | <1% |
Nigeria | 1 | <1% |
United States | 1 | <1% |
Unknown | 251 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 49 | 19% |
Researcher | 41 | 16% |
Student > Ph. D. Student | 34 | 13% |
Student > Postgraduate | 16 | 6% |
Student > Doctoral Student | 11 | 4% |
Other | 48 | 19% |
Unknown | 59 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 77 | 30% |
Nursing and Health Professions | 27 | 10% |
Social Sciences | 25 | 10% |
Economics, Econometrics and Finance | 9 | 3% |
Agricultural and Biological Sciences | 8 | 3% |
Other | 46 | 18% |
Unknown | 66 | 26% |