Title |
Crossing the quality chasm in resource-limited settings
|
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Published in |
Globalization and Health, November 2012
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DOI | 10.1186/1744-8603-8-41 |
Pubmed ID | |
Authors |
Duncan Smith-Rohrberg Maru, Jason Andrews, Dan Schwarz, Ryan Schwarz, Bibhav Acharya, Astha Ramaiya, Gregory Karelas, Ruma Rajbhandari, Kedar Mate, Sona Shilpakar |
Abstract |
Over the last decade, extensive scientific and policy innovations have begun to reduce the "quality chasm"--the gulf between best practices and actual implementation that exists in resource-rich medical settings. While limited data exist, this chasm is likely to be equally acute and deadly in resource-limited areas. While health systems have begun to be scaled up in impoverished areas, scale-up is just the foundation necessary to deliver effective healthcare to the poor. This perspective piece describes a vision for a global quality improvement movement in resource-limited areas. The following action items are a first step toward achieving this vision: 1) revise global health investment mechanisms to value quality; 2) enhance human resources for improving health systems quality; 3) scale up data capacity; 4) deepen community accountability and engagement initiatives; 5) implement evidence-based quality improvement programs; 6) develop an implementation science research agenda. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
Spain | 1 | 13% |
France | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Mexico | 1 | <1% |
Canada | 1 | <1% |
Spain | 1 | <1% |
Qatar | 1 | <1% |
Unknown | 98 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 28% |
Other | 17 | 16% |
Student > Master | 16 | 15% |
Student > Ph. D. Student | 13 | 12% |
Student > Doctoral Student | 7 | 7% |
Other | 14 | 13% |
Unknown | 9 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 49 | 47% |
Social Sciences | 15 | 14% |
Nursing and Health Professions | 8 | 8% |
Environmental Science | 3 | 3% |
Computer Science | 3 | 3% |
Other | 12 | 11% |
Unknown | 15 | 14% |