Cited by 45Primary Care and Health OutcomesElectronic Health Records SystemsMedical Coding and Health Information

Using Electronic Health Records to Measure Physician Performance for Acute Conditions in Primary Care: Empirical Evaluation of the Community-Acquired Pneumonia Clinical Quality Measure Set

Linder, Jeffrey A., Kaleba, Erin O., Kmetik, Karen S.·2009·Medical Care

Abstract

Background Electronic health records (EHRs) have the potential to facilitate performance measurement for acute conditions. Objective To evaluate the reliability and feasibility-of-use of a performance measure set for community-acquired pneumonia in an ambulatory EHR. Design Retrospective, cross-sectional electronic chart review. Setting Primary Care Clinics. Patients Adults with an administrative claims diagnosis of pneumonia during a 14-month period. Measurements Two reviewers independently examined data in the EHR to determine if (1) the encounter was a visit for acute pneumonia; (2) there was documentation for each of 12 performance measures; and (3) such information was in coded form. Results Of 688 encounters with a claim diagnosis of pneumonia, 210 (31%) were identified by either reviewer as a primary care acute pneumonia visit. The 2 reviewers agreed that 198 encounters to 71 different clinicians were visits for acute pneumonia [kappa, 0.96; 95% confidence interval (CI), 0.93-0.98]. Measure performance ranged from 10% for providing location of care rationale to 91% for documenting blood pressure, averaging 52% across all 12 measures. Inter-rater reliability ranged from 0.66 (95% CI, 0.47-0.84) for providing a location of care rationale to 0.97 (95% CI, 0.91-1.0) for vital sign assessment. The proportion of data that was in coded form ranged from 0% for mental status, hydration status, chest x-ray performance, and location of care to 100% for medications and immunizatio…

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Crossref · 10.1097/mlr.0b013e318189375f

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  • Other methods for assessing completeness included agreement between elements from the same source, agreement between the EHR and paper records, agreement between the EHR and another electronic source, and comparing distributions of occurrences between practices or with nationally recorded rates.

    “Other methods for assessing completeness included looking at agreement between elements from the same source,49–55 56 agreement between the EHR and paper records,79 87 88 agreement between the EHR and another electronic source of data,79 89 and comparing distributions of occurrences of certain elements between practices97 or with nationally recorded rates.98–100”

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Authors
Linder, J. A., Kaleba, E. O., & Kmetik, K. S.
Affiliations
  • Brigham and Women's Hospital (US)
  • American Medical Association (US)
Corresponding author
Linder, Jeffrey A.
Venue
Medical Care
Published
2009-02
Volume
47
Issue
2
Pages
208-216
ISSN
0025-7079 (ISSN-L)
OpenAlex
W2038049252
Cited by
45
References
1
Citations by year
2025: 1 · 2024: 2 · 2022: 4 · 2021: 2 · 2019: 2 · 2018: 2 · 2016: 7 · 2014: 4 · 2013: 3 · 2012: 8
FWCI
10.84
Type
journal article
Language
en
Open access
closed
Locations
  • Medical Care (publishedVersion)
  • PubMed (publishedVersion)
Funders
Agency for Healthcare Research and Quality (K08HS014563)
Topics
  • Health Sciences › Health Professions › General Health Professions › Primary Care and Health Outcomes
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Keywords
electronic health records, physician performance measurement, community-acquired pneumonia, acute conditions, primary care, inter-rater reliability, outpatient care, clinical documentation, coded data, vital signs, quality of care
MeSH terms
Acute Disease, Adult, Aged, Boston, Cross-Sectional Studies, Delivery of Health Care, Female, Humans, Male, Middle Aged, Primary Health Care, Quality Assurance, Health Care, Medical Records Systems, Computerized, Community-Acquired Infections, Pneumonia, Bacterial, Evidence-Based Medicine, Guideline Adherence

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