Title |
Expanded Quality Management Using Information Power (EQUIP): protocol for a quasi-experimental study to improve maternal and newborn health in Tanzania and Uganda
|
---|---|
Published in |
Implementation Science, April 2014
|
DOI | 10.1186/1748-5908-9-41 |
Pubmed ID | |
Authors |
Claudia Hanson, Peter Waiswa, Tanya Marchant, Michael Marx, Fatuma Manzi, Godfrey Mbaruku, Alex Rowe, Göran Tomson, Joanna Schellenberg, Stefan Peterson, and the EQUIP Study Team |
Abstract |
Maternal and newborn mortality remain unacceptably high in sub-Saharan Africa. Tanzania and Uganda are committed to reduce maternal and newborn mortality, but progress has been limited and many essential interventions are unavailable in primary and referral facilities. Quality management has the potential to overcome low implementation levels by assisting teams of health workers and others finding local solutions to problems in delivering quality care and the underutilization of health services by the community. Existing evidence of the effect of quality management on health worker performance in these contexts has important limitations, and the feasibility of expanding quality management to the community level is unknown. We aim to assess quality management at the district, facility, and community levels, supported by information from high-quality, continuous surveys, and report effects of the quality management intervention on the utilization and quality of services in Tanzania and Uganda. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Tanzania, United Republic of | 1 | <1% |
Kenya | 1 | <1% |
United Kingdom | 1 | <1% |
Sierra Leone | 1 | <1% |
Nigeria | 1 | <1% |
United States | 1 | <1% |
Unknown | 173 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 43 | 24% |
Researcher | 38 | 21% |
Student > Ph. D. Student | 15 | 8% |
Student > Doctoral Student | 11 | 6% |
Other | 8 | 4% |
Other | 31 | 17% |
Unknown | 33 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 53 | 30% |
Social Sciences | 33 | 18% |
Nursing and Health Professions | 14 | 8% |
Agricultural and Biological Sciences | 7 | 4% |
Engineering | 5 | 3% |
Other | 26 | 15% |
Unknown | 41 | 23% |