BACKGROUND: Care coordination is essential to effective chronic care, but knowledge of processes by which health care professionals coordinate their activities when caring for chronically ill patients is limited. Electronic health records (EHRs) are expected to facilitate coordination of care, but whether they do so completely-and under what conditions-is not well understood. OBJECTIVES: To identify processes by which providers worked together to provide care using an EHR and to examine factors supporting coordination of care. DESIGN: Qualitative multiple case study in 4 sites with diverse care delivery models, using semi-structured in-person interviews with 46 physicians and staff and telephone interviews with 65 adult patients with diabetes. SETTING: Four Kaiser Permanente medical centers. RESULTS: Across all care models, physicians and staff acted sequentially as loosely coupled links in a chain, relying on EHR-enabled informational continuity to coordinate care. Of providers, 94% were highly satisfied with the availability of patient information, and 89% of patients were satisfied or very satisfied with the coordination of their care. However, 6 of 65 patients described experiences of uncoordinated care, and 5 of 12 primary care providers identified coordination issues. These pertained to unreconciled differences of opinion, conflicting role expectations, and discipline-specific views of patient needs. CONCLUSIONS: Diabetes care can be coordinated across providers, but some coordination issues persist despite the informational continuity provided by an EHR. Multidisciplinary care teams should be alert to potential coordination challenges, and possible solutions should be explored, including longitudinal care planning with structured communications at key points in care.
BACKGROUND: Care coordination is essential to effective chronic care, but knowledge of processes by which health care professionals coordinate their activities when caring for chronically ill patients is limited. Electronic health records (EHRs) are expected to facilitate coordination of care, but whether they do so completely-and under what conditions-is not well understood. OBJECTIVES: To identify processes by which providers worked together to provide care using an EHR and to examine factors supporting coordination of care. DESIGN: Qualitative multiple case study in 4 sites with diverse care delivery models, using semi-structured in-person interviews with 46 physicians and staff and telephone interviews with 65 adult patients with diabetes. SETTING: Four Kaiser Permanente medical centers. RESULTS: Across all care models, physicians and staff acted sequentially as loosely coupled links in a chain, relying on EHR-enabled informational continuity to coordinate care. Of providers, 94% were highly satisfied with the availability of patient information, and 89% of patients were satisfied or very satisfied with the coordination of their care. However, 6 of 65 patients described experiences of uncoordinated care, and 5 of 12 primary care providers identified coordination issues. These pertained to unreconciled differences of opinion, conflicting role expectations, and discipline-specific views of patient needs. CONCLUSIONS:Diabetes care can be coordinated across providers, but some coordination issues persist despite the informational continuity provided by an EHR. Multidisciplinary care teams should be alert to potential coordination challenges, and possible solutions should be explored, including longitudinal care planning with structured communications at key points in care.
Authors: Caitlin M Cusack; George Hripcsak; Meryl Bloomrosen; S Trent Rosenbloom; Charlotte A Weaver; Adam Wright; David K Vawdrey; Jim Walker; Lena Mamykina Journal: J Am Med Inform Assoc Date: 2012-09-08 Impact factor: 4.497
Authors: Anne Frølich; Jim Bellows; Bo Friis Nielsen; Per Bruun Brockhoff; Martin Hefford Journal: BMC Health Serv Res Date: 2010-09-21 Impact factor: 2.655
Authors: Douglas L Weeks; Jennifer M Polello; Daniel T Hansen; Benjamin J Keeney; Douglas A Conrad Journal: J Gen Intern Med Date: 2013-07-30 Impact factor: 5.128
Authors: Ingrid Vargas; Amparo Susana Mogollón-Pérez; Pierre De Paepe; Maria Rejane Ferreira da Silva; Jean Pierre Unger; María Luisa Vázquez Journal: BMC Health Serv Res Date: 2015-05-29 Impact factor: 2.655
Authors: Ingrid Vargas; Amparo Susana Mogollón-Pérez; Pierre De Paepe; Maria Rejane Ferreira da Silva; Jean-Pierre Unger; María-Luisa Vázquez Journal: Health Policy Plan Date: 2016-02-13 Impact factor: 3.344
Authors: Jenny Newbould; Jenni Burt; Peter Bower; Tom Blakeman; Anne Kennedy; Anne Rogers; Martin Roland Journal: BMC Fam Pract Date: 2012-07-25 Impact factor: 2.497