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Measuring Harm in Health Care

Optimizing Adverse Event Review

Bibliographic Data

ID9099704
AuthorsKathleen E Walsh (0000-0002-3516-5265, James M. Anderson Center, corresponding author), Polina Harik (National Board of Medical Examiners, Philadelphia, PA), Kathleen M Mazor (0000-0002-9491-9872, Meyers Primary Care Institute, Worcester, MA), Deborah Perfetto (0000-0002-8007-7563, Agency for Healthcare Quality and Research, Rockville, MD), Milena Anatchkova (0000-0003-2035-4511, University of Massachusetts Chan Medical School), Colleen Biggins (Meyers Primary Care Institute, Worcester, MA), Joann Wagner (Meyers Primary Care Institute, Worcester, MA), Joann L Wagner (0009-0009-3906-2798), Pamela J Schoettker (James M. Anderson Center, corresponding author), Cassandra Firneno (Meyers Primary Care Institute, Worcester, MA), Robert Klugman (Kindred Healthcare, Wellesley, MA), Jennifer Tjia (0000-0003-4541-0460, University of Massachusetts Chan Medical School)
Year2017
Volume55
Issue4
Pages436-441
Publication date2017-04-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000679
PMID27906769
OpenAlexW2558323601
LanguageEN
References cited20

OBJECTIVE: The objective of this study was to identify modifiable factors that improve the reliability of ratings of severity of health care-associated harm in clinical practice improvement and research. METHODS: A diverse group of clinicians rated 8 types of adverse events: blood product, device or medical/surgical supply, fall, health care-associated infection, medication, perinatal, pressure ulcer, surgery. We used a generalizability theory framework to estimate the impact of number of raters, rater experience, and rater provider type on reliability. RESULTS: Pharmacists were slightly more precise and consistent in their ratings than either physicians or nurses. For example, to achieve high reliability of 0.83, 3 physicians could be replaced by 2 pharmacists without loss in precision of measurement. If only 1 rater was available for rating, ∼5% of the reviews for severe harm would have been incorrectly categorized. Reliability was greatly improved with 2 reviewers. CONCLUSIONS: We identified factors that influence the reliability of clinician reviews of health care-associated harm. Our novel use of generalizability analyses improved our understanding of how differences affect reliability. This approach was useful in optimizing resource utilization when selecting raters to assess harm and may have similar applications in other settings in health care

Family medicine · Generalizability theory · Harm · Health care · MEDLINE · Reliability (semiconductor) · Ethics in medical practice · Healthcare cost, quality, practices · Medicine · Nursing · Patient Safety and Medication Errors · Psychology

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    Open Access•Paul A Harris, Robert Taylor et al.•Journal of Biomedical Informatics•2009

Highly citedNo

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