Title |
Improving data quality and supervision of antiretroviral therapy sites in Malawi: an application of Lot Quality Assurance Sampling
|
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Published in |
BMC Health Services Research, July 2012
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DOI | 10.1186/1472-6963-12-196 |
Pubmed ID | |
Authors |
Bethany L Hedt-Gauthier, Lyson Tenthani, Shira Mitchell, Frank M Chimbwandira, Simon Makombe, Zengani Chirwa, Erik J Schouten, Marcello Pagano, Andreas Jahn |
Abstract |
High quality program data is critical for managing, monitoring, and evaluating national HIV treatment programs. By 2009, the Malawi Ministry of Health had initiated more than 270,000 patients on HIV treatment at 377 sites. Quarterly supervision of these antiretroviral therapy (ART) sites ensures high quality care, but the time currently dedicated to exhaustive record review and data cleaning detracts from other critical components. The exhaustive record review is unlikely to be sustainable long term because of the resources required and increasing number of patients on ART. This study quantifies the current levels of data quality and evaluates Lot Quality Assurance Sampling (LQAS) as a tool to prioritize sites with low data quality, thus lowering costs while maintaining sufficient quality for program monitoring and patient care. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
India | 1 | 20% |
Nigeria | 1 | 20% |
United Kingdom | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 2 | 2% |
Portugal | 1 | 1% |
Malaysia | 1 | 1% |
Brazil | 1 | 1% |
United Kingdom | 1 | 1% |
Rwanda | 1 | 1% |
Unknown | 92 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 22% |
Researcher | 14 | 14% |
Student > Ph. D. Student | 12 | 12% |
Other | 8 | 8% |
Student > Doctoral Student | 6 | 6% |
Other | 24 | 24% |
Unknown | 13 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 35 | 35% |
Social Sciences | 10 | 10% |
Nursing and Health Professions | 9 | 9% |
Computer Science | 7 | 7% |
Psychology | 4 | 4% |
Other | 16 | 16% |
Unknown | 18 | 18% |