Literature DB >> 15609762

The utility of the Health Plan Employer Data and Information Set (HEDIS) asthma measure to predict asthma-related outcomes.

William E Berger1, Antonio P Legorreta, Michael S Blaiss, Eric C Schneider, Allan T Luskin, David A Stempel, Samy Suissa, David C Goodman, Stuart W Stoloff, Jean A Chapman, Sean D Sullivan, Bill Vollmer, Kevin B Weiss.   

Abstract

BACKGROUND: The Health Plan Employer Data and Information Set (HEDIS) measures are used extensively to measure quality of care.
OBJECTIVE: To evaluate selected aspects of the HEDIS measure of appropriate use of asthma medications.
METHODS: Claims data were analyzed for commercial health plan members who met HEDIS criteria for persistent asthma in 1999. The use of asthma medications was evaluated in the subsequent year with stratification by controller medication and a measure of adherence (days' supply). Multivariate logistic regressions were used to evaluate the association among long-term controller therapy for persistent asthma, adherence to therapy, and asthma-related hospitalizations or emergency department (ED) visits, controlling for demographic, preindex utilization, and other confounding characteristics.
RESULTS: Of the 49,637 persistent asthma patients, approximately 35.7% were using 1 class of long-term controller medications, 18.4% were using more than 1 class, and 45.9% were not using such medication. More than 25% of the persistent asthma patients did not use any asthma medication in the subsequent year. Patients with low adherence to controller medication had a significantly higher risk (odds ratio [OR], 1.72; 95% confidence interval [CI], 1.42-2.08) of ED visit or hospitalization relative to patients not using any controllers compared with persons with moderate (OR, 0.84; 95% CI, 0.57-1.23) or high (OR, 0.70; 95% CI, 0.34-1.44) adherence. Patients receiving a high days' supply of inhaled corticosteroids had the lowest risk of ED visit or hospitalization (OR, 0.37; 95% CI, 0.05-2.69).
CONCLUSIONS: Our findings suggest that refinements to the HEDIS measure method for identifying patients with persistent asthma may be needed.

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Year:  2004        PMID: 15609762     DOI: 10.1016/S1081-1206(10)61260-4

Source DB:  PubMed          Journal:  Ann Allergy Asthma Immunol        ISSN: 1081-1206            Impact factor:   6.347


  7 in total

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2.  Monitoring asthma control using claims data and patient-reported outcomes measures.

Authors:  Tom James; Michael Fine
Journal:  P T       Date:  2008-08

3.  Uncovering Longitudinal Health Care Behaviors for Millions of Medicaid Enrollees: A Multistate Comparison of Pediatric Asthma Utilization.

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4.  Using medication utilization information to develop an asthma severity classification model.

Authors:  Tsung-Hsien Yu; Pin-Kuei Fu; Yu-Chi Tung
Journal:  BMC Med Inform Decis Mak       Date:  2017-12-20       Impact factor: 2.796

Review 5.  Pragmatic research and outcomes in asthma and COPD.

Authors:  Gene L Colice
Journal:  Pragmat Obs Res       Date:  2012-04-17

Review 6.  Assessing asthma severity based on claims data: a systematic review.

Authors:  Christian Jacob; Jennifer S Haas; Benno Bechtel; Peter Kardos; Sebastian Braun
Journal:  Eur J Health Econ       Date:  2016-03-01

7.  Identifying Asthma Exacerbation-Related Emergency Department Visit Using Electronic Medical Record and Claims Data.

Authors:  Agnes S Sundaresan; Gargi Schneider; Joy Reynolds; H Lester Kirchner
Journal:  Appl Clin Inform       Date:  2018-07-18       Impact factor: 2.342

  7 in total

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