Feasibility of Evaluating the CHIPRA Care Quality Measures in Electronic Health Record Data

被引:20
作者
Gold, Rachel [1 ]
Angier, Heather [2 ]
Mangione-Smith, Rita [3 ]
Gallia, Charles [4 ]
McIntire, Patti J. [5 ]
Cowburn, Stuart [5 ]
Tillotson, Carrie [2 ]
DeVoe, Jennifer E. [2 ]
机构
[1] Kaiser Permanente NW Ctr Hlth Res, Portland, OR 97227 USA
[2] Oregon Hlth & Sci Univ, Portland, OR 97201 USA
[3] Univ Washington, Seattle, WA 98195 USA
[4] Oregon Div Med Assistance Programs, Portland, OR USA
[5] OCHIN Inc, Portland, OR USA
基金
美国国家卫生研究院; 美国医疗保健研究与质量局;
关键词
health care quality assessment; health care quality indicators; pediatric care quality assessment; CHIPRA measures; electronic health record data collection; ADMINISTRATIVE DATA; INSURANCE COVERAGE; UNITED-STATES; CHILDREN; MEDICAID; OUTCOMES;
D O I
10.1542/peds.2011-3705
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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. Pediatrics 2012;130:139-149
引用
收藏
页码:139 / 149
页数:11
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