Literature DB >> 24606582

Building blocks for measuring care coordination with claims data.

Jodi B Segal1, Eva H DuGoff.   

Abstract

Tools to measure care coordination are needed to evaluate federal, state, and private sector efforts encouraging coordination to improve health outcomes and contain costs. Administrative data are a rich source of data for studying the use of medical services, thus allowing for measurement of patient level, provider level, and system measures of care coordination. Based on a review the literature and input from an expert panel, this article describes 4 key components-building blocks-of care coordination and corresponding measures. These building blocks should have utility across clinical conditions. They may be used to test hypotheses about the impact of coordinated care on medication utilization, adherence to medications, and clinical outcomes.

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Year:  2014        PMID: 24606582      PMCID: PMC4532896          DOI: 10.1089/pop.2013.0082

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  13 in total

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Review 4.  Indices for continuity of care: a systematic review of the literature.

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Journal:  Med Care Res Rev       Date:  2006-04       Impact factor: 3.929

5.  Assigning ambulatory patients and their physicians to hospitals: a method for obtaining population-based provider performance measurements.

Authors:  Julie P W Bynum; Enrique Bernal-Delgado; Daniel Gottlieb; Elliott Fisher
Journal:  Health Serv Res       Date:  2007-02       Impact factor: 3.402

6.  Mapping physician networks with self-reported and administrative data.

Authors:  Michael L Barnett; Bruce E Landon; A James O'Malley; Nancy L Keating; Nicholas A Christakis
Journal:  Health Serv Res       Date:  2011-04-26       Impact factor: 3.402

7.  Continuity of outpatient and inpatient care by primary care physicians for hospitalized older adults.

Authors:  Gulshan Sharma; Kathlyn E Fletcher; Dong Zhang; Yong-Fang Kuo; Jean L Freeman; James S Goodwin
Journal:  JAMA       Date:  2009-04-22       Impact factor: 56.272

8.  Care patterns in Medicare and their implications for pay for performance.

Authors:  Hoangmai H Pham; Deborah Schrag; Ann S O'Malley; Beny Wu; Peter B Bach
Journal:  N Engl J Med       Date:  2007-03-15       Impact factor: 91.245

9.  Administrative data algorithms can describe ambulatory physician utilization.

Authors:  Baiju R Shah; Janet E Hux; Andreas Laupacis; Bernard Zinman; Karen Cauch-Dudek; Gillian L Booth
Journal:  Health Serv Res       Date:  2007-08       Impact factor: 3.402

10.  Medicare physician group practice demonstration design: quality and efficiency pay-for-performance.

Authors:  John Kautter; Gregory C Pope; Michael Trisolini; Sherry Grund
Journal:  Health Care Financ Rev       Date:  2007
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  2 in total

1.  Can Claims Data Algorithms Identify the Physician of Record?

Authors:  Eva H DuGoff; Emily Walden; Katie Ronk; Mari Palta; Maureen Smith
Journal:  Med Care       Date:  2018-03       Impact factor: 2.983

Review 2.  Informatics Systems and Tools to Facilitate Patient-centered Care Coordination.

Authors:  G Demiris; L Kneale
Journal:  Yearb Med Inform       Date:  2015-08-13
  2 in total

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