Evaluation of computer-generated reminders to improve CD4 laboratory monitoring in sub-Saharan Africa: a prospective comparative study
Autor: | William M. Tierney, Xiaochun Li, Sylvester Kimaiyo, Joseph J. Mamlin, Burke W. Mamlin, Changyu Shen, Martin C. Were, Paul G. Biondich |
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Rok vydání: | 2011 |
Předmět: |
Adult
Male medicine.medical_specialty Pediatrics Sub saharan Reminder Systems Laboratory monitoring education MEDLINE Developing country HIV Infections Health Informatics Research and Applications law.invention Randomized controlled trial law Intervention (counseling) Electronic Health Records Humans Medicine Prospective Studies Single institution Prospective cohort study business.industry Decision Support Systems Clinical Kenya CD4 Lymphocyte Count Family medicine Linear Models Female Guideline Adherence business |
Zdroj: | Journal of the American Medical Informatics Association. 18:150-155 |
ISSN: | 1527-974X 1067-5027 |
DOI: | 10.1136/jamia.2010.005520 |
Popis: | Objective Little evidence exists on effective interventions to integrate HIV-care guidelines into practices within developing countries. This study tested the hypothesis that clinical summaries with computer-generated reminders could improve clinicians' compliance with CD4 testing guidelines in the resource-limited setting of sub-Saharan Africa. Design A prospective comparative study of two randomly selected outpatient adult HIV clinics in western Kenya. Printed summaries with reminders for overdue CD4 tests were made available to clinicians in the intervention clinic but not in the control clinic. Measurements Changes in order rates for overdue CD4 tests were compared between and within the two clinics. Results The computerized reminder system identified 717 encounters (21%) with overdue CD4 tests. Analysis by study assignment (regardless of summaries being printed or not) revealed that with computer-generated reminders, CD4 order rates were significantly higher in the intervention clinic compared to the control clinic (53% vs 38%, OR=1.80, CI 1.34 to 2.42, p |
Databáze: | OpenAIRE |
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