ArticleQuality & safety in health care2005
Pursuing integration of performance measures into electronic medical records: beta-adrenergic receptor antagonist medications.
Article in Quality & safety in health care, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Completeness, accuracy, and computability of National Quality Forum-specified eMeasures.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Performance improvement indicators of the Medical Records Department and Information Technology (IT) in hospitals.Pakistan journal of medical sciences · 2015Review
- Using computer-extracted data from electronic health records to measure the quality of adolescent well-care.Health services research · 2014Observational
- Improving quality and safety of care using "technovigilance": an ethnographic case study of secondary use of data from an electronic prescribing and decision support system.The Milbank quarterly · 2013Article
- Collaborative search in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2011Article
- How to limit the burden of data collection for Quality Indicators based on medical records? The COMPAQH experience.BMC health services research · 2008Article
- Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveElectronic medical records seldom integrate performance indicators into daily operations. Assessing quality indicators traditionally requires resource intensive chart reviews of small samples. We sought to use an electronic medical record to assess use of beta-adrenergic antagonist medications (beta-blockers) following myocardial infarction, to compare a standardized manual assessment with assessment using electronic medical records, and to discuss potential for future integration of performance indicators into electronic records.
designCross-sectional data analysis.
settingAn urban academic medical center.
participantsUS Medicare beneficiaries 65 years of age or older, admitted to hospital with myocardial infarction between 1995 and 1999. MEASUREMENTS AND MAIN
resultsManual chart review was compared with a computer driven assessment of electronic records. Administration of beta-blockers and cases excluded from use of beta-blockers were measured, based on Medicare criteria. Among 4490 older adults, 391 (4%) of 9018 hospital admissions contained codes for myocardial infarction. In 323 (83%) of the 391 hospital admissions, criteria for excluding beta-blockers were met; 235 (60%) were excluded due to heart failure. Of 68 hospital admissions for myocardial infarction that did not meet exclusion criteria, physicians prescribed beta-blockers in 49 (72%) on admission and 42 (62%) at discharge. Compared with manual chart review, electronic review had a sensitivity of 83-100% and led to fewer false negative findings.
conclusionsAn electronic medical records system can be used instead of chart review to measure use of beta-blockers after myocardial infarction. This should lead to integration of real time automated performance measurement into electronic medical records.
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