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.
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.
Authors: Bradford L Felker; Edmund Chaney; Lisa V Rubenstein; Laura M Bonner; Elizabeth M Yano; Louise E Parker; Linda L M Worley; Scott E Sherman; Scott Ober Journal: Prim Care Companion J Clin Psychiatry Date: 2006
Authors: James B Meigs; Enrico Cagliero; Anil Dubey; Patricia Murphy-Sheehy; Catharyn Gildesgame; Henry Chueh; Michael J Barry; Daniel E Singer; David M Nathan Journal: Diabetes Care Date: 2003-03 Impact factor: 19.112
Authors: Michael D Murray; Lisa E Harris; J Marc Overhage; Xiao-Hua Zhou; George J Eckert; Faye E Smith; Nancy Nienaber Buchanan; Fredric D Wolinsky; Clement J McDonald; William M Tierney Journal: Pharmacotherapy Date: 2004-03 Impact factor: 4.705
Authors: Dan Kent; Linda Haas; David Randal; Elizabeth Lin; Carolyn T Thorpe; Suzanne A Boren; Jan Fisher; Joan Heins; Patrick Lustman; Joe Nelson; Laurie Ruggiero; Tim Wysocki; Karen Fitzner; Dawn Sherr; Annette Lenzi Martin Journal: Popul Health Manag Date: 2010-10 Impact factor: 2.459