Timothy P Daaleman1, Christopher M Shea2, Jacqueline Halladay3, David Reed4. 1. Department of Family Medicine, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, USA. Electronic address: tim_daaleman@med.unc.edu. 2. Department of Health Policy and Management University of North Carolina at Chapel Hill, Chapel Hill, USA. 3. Department of Family Medicine, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, USA; Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, USA. 4. Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Abstract
OBJECTIVE: The implementation of patient-centered care (PCC) innovations continues to be poorly understood. We used the implementation effectiveness framework to pilot a method for measuring the impact of a PCC innovation in primary care practices. METHODS: We analyzed data from a prior study that assessed the implementation of an electronic geriatric quality-of-life (QOL) module in 3 primary care practices in central North Carolina in 2011-2012. Patients responded to the items and the subsequent patient-provider encounter was coded using the Roter Interaction Analysis System (RIAS) system. We developed an implementation effectiveness measure specific to the QOL module (i.e., frequency of usage during the encounter) using RIAS and then tested if there were differences with RIAS codes using analysis of variance. RESULTS: A total of 60 patient-provider encounters examined differences in the uptake of the QOL module (i.e., implementation-effectiveness measure) with the frequency of RIAS codes during the encounter (i.e., patient-centeredness measure). There was a significant association between the effectiveness measure and patient-centered RIAS codes. CONCLUSION: The concept of implementation effectiveness provided a useful framework determine the impact of a PCC innovation. PRACTICE IMPLICATIONS: A method that captures real-time interactions between patients and care staff over time can meaningfully evaluate PCC innovations.
OBJECTIVE: The implementation of patient-centered care (PCC) innovations continues to be poorly understood. We used the implementation effectiveness framework to pilot a method for measuring the impact of a PCC innovation in primary care practices. METHODS: We analyzed data from a prior study that assessed the implementation of an electronic geriatric quality-of-life (QOL) module in 3 primary care practices in central North Carolina in 2011-2012. Patients responded to the items and the subsequent patient-provider encounter was coded using the Roter Interaction Analysis System (RIAS) system. We developed an implementation effectiveness measure specific to the QOL module (i.e., frequency of usage during the encounter) using RIAS and then tested if there were differences with RIAS codes using analysis of variance. RESULTS: A total of 60 patient-provider encounters examined differences in the uptake of the QOL module (i.e., implementation-effectiveness measure) with the frequency of RIAS codes during the encounter (i.e., patient-centeredness measure). There was a significant association between the effectiveness measure and patient-centered RIAS codes. CONCLUSION: The concept of implementation effectiveness provided a useful framework determine the impact of a PCC innovation. PRACTICE IMPLICATIONS: A method that captures real-time interactions between patients and care staff over time can meaningfully evaluate PCC innovations.
Authors: Carlos Roberto Jaén; Benjamin F Crabtree; Raymond F Palmer; Robert L Ferrer; Paul A Nutting; William L Miller; Elizabeth E Stewart; Robert Wood; Marivel Davila; Kurt C Stange Journal: Ann Fam Med Date: 2010 Impact factor: 5.166
Authors: Carlos Roberto Jaén; Robert L Ferrer; William L Miller; Raymond F Palmer; Robert Wood; Marivel Davila; Elizabeth E Stewart; Benjamin F Crabtree; Paul A Nutting; Kurt C Stange Journal: Ann Fam Med Date: 2010 Impact factor: 5.166
Authors: Christian D Helfrich; Laura J Damschroder; Hildi J Hagedorn; Ginger S Daggett; Anju Sahay; Mona Ritchie; Teresa Damush; Marylou Guihan; Philip M Ullrich; Cheryl B Stetler Journal: Implement Sci Date: 2010-10-25 Impact factor: 7.327
Authors: Hayden B Bosworth; Daniel Almirall; Bryan J Weiner; Mathew Maciejewski; Miriam A Kaufman; Benjamin J Powers; Eugene Z Oddone; Shoou-Yih D Lee; Teresa M Damush; Valerie Smith; Maren K Olsen; Daren Anderson; Christianne L Roumie; Susan Rakley; Pamela S Del Monte; Michael E Bowen; Jeffrey D Kravetz; George L Jackson Journal: Implement Sci Date: 2010-07-16 Impact factor: 7.327
Authors: Betsy Sleath; Robyn Sayner; Michelle Vitko; Delesha M Carpenter; Susan J Blalock; Kelly W Muir; Annette L Giangiacomo; Mary Elizabeth Hartnett; Alan L Robin Journal: Patient Educ Couns Date: 2016-11-22
Authors: Mary Rocheleau; Rajani Shankar Sadasivam; Kate Baquis; Hannah Stahl; Rebecca L Kinney; Sherry L Pagoto; Thomas K Houston Journal: J Med Internet Res Date: 2015-01-14 Impact factor: 5.428