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Using Clinical Vignettes to Assess Quality of Care for Acute Respiratory Infections

Authors :
Courtney A. Gidengil MD, MPH
Jeffrey A. Linder MD, MPH
Scott Beach PhD
Claude M. Setodji PhD
Gerald Hunter MS
Ateev Mehrotra MD, MPH
Source :
Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 53 (2016)
Publication Year :
2016
Publisher :
SAGE Publishing, 2016.

Abstract

Overprescribing of antibiotics for acute respiratory infections (ARIs) is common. Our objective was to develop and validate a vignette-based method to estimate clinician ARI antibiotic prescribing. We surveyed physicians (n = 78) and retail clinic clinicians (n = 109) between January and September 2013. We surveyed clinicians using a set of ARI vignettes and linked the responses to electronic health record data for all ARI visits managed by these clinicians during 2012. We then created a new measure of antibiotic prescribing, the comprehensive ARI management rate. This was defined as not prescribing antibiotics for antibiotic-inappropriate diagnoses and prescribing guideline-concordant antibiotics for antibiotic-appropriate diagnoses (and also included appropriate use of streptococcal testing for the pharyngitis vignettes). We compared the vignette-based and chart-based comprehensive ARI management at the clinician level. We then identified the combination of vignettes that best predicted comprehensive ARI management rates, using a partitioning algorithm. Responses to 3 vignettes partitioned clinicians into 4 groups with chart-based comprehensive ARI management rates of 61% (n = 121), 50% (n = 47), 31% (n = 12), and 22% (n = 7). Responses to 3 clinical vignettes can identify clinicians with relatively poor quality ARI antibiotic prescribing. Vignettes may be a mechanism to target clinicians for quality improvement efforts.

Details

Language :
English
ISSN :
00469580 and 19457243
Volume :
53
Database :
Directory of Open Access Journals
Journal :
Inquiry: The Journal of Health Care Organization, Provision, and Financing
Publication Type :
Academic Journal
Accession number :
edsdoj.7acae413c623484cbe38a680138be542
Document Type :
article
Full Text :
https://doi.org/10.1177/0046958016636531