ArticleBMJ quality & safety2013
Method for developing national quality indicators based on manual data extraction from medical records.
Article in BMJ quality & safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quality of patient safety indicators in intensive care units: Protocol for a systematic review.PloS one · 2026Article
- Assessing the impact of a quality improvement program on the quality and timeliness of discharge documents: A before and after study.Medicine · 2020Article
- Using standardised patients to assess the quality of medical records: an application and evidence from rural China.BMJ quality & safety · 2020Article
- Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage.BMC health services research · 2016Article
- Keys to successful implementation of a French national quality indicator in health care organizations: a qualitative study.BMC health services research · 2016Article
- Article
- Main barriers to effective implementation of stroke care pathways in France: a qualitative study.BMC health services research · 2014Article
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Authors and funding
7 authors.
Funding
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Abstract
Developing quality indicators (QI) for national purposes (eg, public disclosure, paying-for-performance) highlights the need to find accessible and reliable data sources for collecting standardised data. The most accurate and reliable data source for collecting clinical and organisational information still remains the medical record. Data collection from electronic medical records (EMR) would be far less burdensome than from paper medical records (PMR). However, the development of EMRs is costly and has suffered from low rates of adoption and barriers of usability even in developed countries. Currently, methods for producing national QIs based on the medical record rely on manual extraction from PMRs. We propose and illustrate such a method. These QIs display feasibility, reliability and discriminative power, and can be used to compare hospitals. They have been implemented nationwide in France since 2006. The method used to develop these QIs could be adapted for use in large-scale programmes of hospital regulation in other, including developing, countries.
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