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First published January 9, 2007 as JAMIA PrePrint; doi:10.1197/jamia.M2255
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J Am Med Inform Assoc. 2007;14:156-163. DOI 10.1197/jamia.M2255.
© 2007 American Medical Informatics Association


Review paper

Informatics Systems to Promote Improved Care for Chronic Illness: A Literature Review

David Dorr, MD, MSa,*, Laura M. Bonner, PhDb, Amy N. Cohen, PhDc, Rebecca S. Shoai, MPH, MSWc, Ruth Perrin, MAd, Edmund Chaney, PhDb and Alexander S. Young, MD, MSHSc,e

a Oregon Health & Science University, Department of Medical Informatics & Clinical Epidemiology, Portland, OR
b Northwest HSR&D Center of Excellence, VA Puget Sound Healthcare System, Seattle, WA
c VA Desert Pacific Mental Illness Research, Education and Clinical Centers (MIRECC), Los Angeles, CA
d VA Information Resource Center (VIReC), Hines, IL
e University of California Department of Psychiatry, Los Angeles, CA.

* Correspondence and reprints: David A. Dorr, 3181 SW Sam Jackson Park Rd, Mailcode:BICC, Portland, OR 97239. (Email: dorrd{at}ohsu.edu).

Received for publication: 08/24/06; accepted for publication: 12/12/06.

Objective: To understand information systems components important in supporting team-based care of chronic illness through a literature search.

Design: Systematic search of literature from 1996-2005 for evaluations of information systems used in the care of chronic illness.

Measurements: The relationship of design, quality, information systems components, setting, and other factors with process, quality outcomes, and health care costs was evaluated.

Results: In all, 109 articles were reviewed involving 112 information system descriptions. Chronic diseases targeted included diabetes (42.9% of reviewed articles), heart disease (36.6%), and mental illness (23.2%), among others. System users were primarily physicians, nurses, and patients. Sixty-seven percent of reviewed experiments had positive outcomes; 94% of uncontrolled, observational studies claimed positive results. Components closely correlated with positive experimental results were connection to an electronic medical record, computerized prompts, population management (including reports and feedback), specialized decision support, electronic scheduling, and personal health records. Barriers identified included costs, data privacy and security concerns, and failure to consider workflow.

Conclusion: The majority of published studies revealed a positive impact of specific health information technology components on chronic illness care. Implications for future research and system designs are discussed.




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