Literature DB >> 18066353

Coding for quality measurement: the relationship between hospital structural characteristics and coding accuracy from the perspective of quality measurement.

Pavani Rangachari1.   

Abstract

This study examines the relationship between hospital structural characteristics and coding accuracy from the perspective of quality measurement. To measure coding accuracy for quality measurement, the study utilizes the "present on admission" indicator, a data element in the New York state hospital administrative database. This data element is used by hospitals across New York state to indicate if a particular secondary diagnosis is "present on admission," "not present on admission," or "uncertain." Since the accurate distinction between comorbidities (present at admission) and complications (not present at admission,) is critical for risk adjustment in comparative hospital quality reports, this study uses the occurrence of the value "uncertain" in the "present on admission" indicator as the primary measure of coding accuracy. A lower occurrence of the value "uncertain" is considered to be reflective of better coding accuracy. Moreover, since coding accuracy of the "present on admission" indicator links back to the accuracy of physician documentation, a focus on the occurrence of the value "uncertain," also helps gain insight into physician documentation efficacy within the facility. By utilizing this approach, therefore, the study serves the twin purpose of 1) addressing the gap in the literature with respect to large-scale studies of "coding for quality," and 2) providing insight into the structural characteristics of institutions that are likely facing organizational challenges of physician documentation from the perspective of quality measurement.

Keywords:  comorbidities and complications; comparative report cards; health information management; hospital administrative data; hospital coding accuracy; hospital quality measurement; physician documentation; physician-coder coordination; present on admission indicator; public reporting; risk adjustment

Mesh:

Year:  2007        PMID: 18066353      PMCID: PMC2047295     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  34 in total

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  14 in total

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6.  Do coder characteristics influence validity of ICD-10 hospital discharge data?

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7.  P.Re.Val.E.: outcome research program for the evaluation of health care quality in Lazio, Italy.

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8.  Variation in the recording of common health conditions in routine hospital data: study using linked survey and administrative data in New South Wales, Australia.

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9.  Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage.

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10.  Determinants of the length of stay in stroke patients.

Authors:  Sang Mi Kim; Sung Wan Hwang; Eun-Hwan Oh; Jung-Kyu Kang
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