Literature DB >> 22711724

Feasibility of evaluating the CHIPRA care quality measures in electronic health record data.

Rachel Gold1, Heather Angier, Rita Mangione-Smith, Charles Gallia, Patti J McIntire, Stuart Cowburn, Carrie Tillotson, Jennifer E DeVoe.   

Abstract

The Children's Health Insurance Program Reauthorization Act of 2009 (CHIPRA) includes provisions for identifying standardized pediatric care quality measures. These 24 "CHIPRA measures" were designed to be evaluated by using claims data from health insurance plan populations. Such data have limited ability to evaluate population health, especially among uninsured people. The rapid expansion of data from electronic health records (EHRs) may help address this limitation by augmenting claims data in care quality assessments. We outline how to operationalize many of the CHIPRA measures for application in EHR data through a case study of a network of >40 outpatient community health centers in 2009-2010 with a single EHR. We assess the differences seen when applying the original claims-based versus adapted EHR-based specifications, using 2 CHIPRA measures (Chlamydia screening among sexually active female patients; BMI percentile documentation) as examples. Sixteen of the original CHIPRA measures could feasibly be evaluated in this dataset. Three main adaptations were necessary (specifying a visit-based population denominator, calculating some pregnancy-related factors by using EHR data, substituting for medication dispense data). Although it is feasible to adapt many of the CHIPRA measures for use in outpatient EHR data, information is gained and lost depending on how numerators and denominators are specified. We suggest first steps toward application of the CHIPRA measures in uninsured populations, and in EHR data. The results highlight the importance of considering the limitations of the original CHIPRA measures in care quality evaluations.

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Year:  2012        PMID: 22711724      PMCID: PMC3382922          DOI: 10.1542/peds.2011-3705

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  20 in total

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4.  Children in the United States with discontinuous health insurance coverage.

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Journal:  N Engl J Med       Date:  2005-07-28       Impact factor: 91.245

5.  Measuring the quality of care for group A streptococcal pharyngitis in 5 US health plans.

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Review 6.  Assessing quality using administrative data.

Authors:  L I Iezzoni
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Authors:  R Mangione-Smith; E A McGlynn; L Hiatt
Journal:  Arch Pediatr Adolesc Med       Date:  2000-11

Review 8.  Using administrative data to study persons with disabilities.

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  13 in total

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3.  Using computer-extracted data from electronic health records to measure the quality of adolescent well-care.

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4.  Variation in outcomes of quality measurement by data source.

Authors:  Heather Angier; Rachel Gold; Charles Gallia; Allison Casciato; Carrie J Tillotson; Miguel Marino; Rita Mangione-Smith; Jennifer E DeVoe
Journal:  Pediatrics       Date:  2014-06       Impact factor: 7.124

5.  Measuring Preventive Care Delivery: Comparing Rates Across Three Data Sources.

Authors:  Steffani R Bailey; John D Heintzman; Miguel Marino; Megan J Hoopes; Brigit A Hatch; Rachel Gold; Stuart C Cowburn; Christine A Nelson; Heather E Angier; Jennifer E DeVoe
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6.  Measuring prevention more broadly: an empirical assessment of CHIPRA core measures.

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8.  A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

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9.  Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial.

Authors:  Jennifer E DeVoe; Nathalie Huguet; Sonja Likumahuwa-Ackman; Heather Angier; Christine Nelson; Miguel Marino; Deborah Cohen; Aleksandra Sumic; Megan Hoopes; Rose L Harding; Marla Dearing; Rachel Gold
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Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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