Rebecca M Sacks1, Jessica Greene2, Judith Hibbard3, Valerie Overton4, Carmen D Parrotta4. 1. School of Nursing, George Washington University, 1919 Pennsylvania Avenue, NW Suite 500, Washington, District Of Columbia 20006, United States. Electronic address: Rebecca.sacks@gmail.com. 2. Marxe School of Public and International Affairs, New York, NY, United States. 3. Department of Planning, Public Policy, and Management, University of Oregon, Eugene, OR, United States. 4. Fairview Health Services, Minneapolis, MN 55407, United States.
Abstract
OBJECTIVE: To examine whether patient activation is predictive of the course of diabetes over a three year period among patients with and without diabetes. METHODS: Longitudinal analyses utilized electronic health record data from 2011 to 2014. We examined how the patient activation measure (PAM) was predictive of 2014 diabetes-related outcomes among patients with diabetes (n=10,071); pre-diabetes (n=1804); and neither diabetes nor pre-diabetes (n=46,402). Outcomes were clinical indicators (blood pressure, cholesterol, and trigylcerides), costly utilization, and progression from no diabetes to pre-diabetes or diabetes. RESULTS: Higher PAM level predicted better clinical indicator control in patients with diabetes. In patients with pre-diabetes, PAM level predicted better clinical indicator control, and those in the highest level of PAM in 2011 had lower odds of having a hospitalization compared to those in the lowest level. In patients without diabetes or pre-diabetes in 2011, higher PAM level was associated with lower odds of developing pre-diabetes. CONCLUSIONS: More activated patients with diabetes and pre-diabetes had better outcomes than less activated patients. More activated patients without diabetes or pre-diabetes were less likely to develop pre-diabetes over a three year period. PRACTICE IMPLICATIONS: Strategies to improve patient activation may be useful to help curb the diabetes epidemic.
OBJECTIVE: To examine whether patient activation is predictive of the course of diabetes over a three year period among patients with and without diabetes. METHODS: Longitudinal analyses utilized electronic health record data from 2011 to 2014. We examined how the patient activation measure (PAM) was predictive of 2014 diabetes-related outcomes among patients with diabetes (n=10,071); pre-diabetes (n=1804); and neither diabetes nor pre-diabetes (n=46,402). Outcomes were clinical indicators (blood pressure, cholesterol, and trigylcerides), costly utilization, and progression from no diabetes to pre-diabetes or diabetes. RESULTS: Higher PAM level predicted better clinical indicator control in patients with diabetes. In patients with pre-diabetes, PAM level predicted better clinical indicator control, and those in the highest level of PAM in 2011 had lower odds of having a hospitalization compared to those in the lowest level. In patients without diabetes or pre-diabetes in 2011, higher PAM level was associated with lower odds of developing pre-diabetes. CONCLUSIONS: More activated patients with diabetes and pre-diabetes had better outcomes than less activated patients. More activated patients without diabetes or pre-diabetes were less likely to develop pre-diabetes over a three year period. PRACTICE IMPLICATIONS: Strategies to improve patient activation may be useful to help curb the diabetes epidemic.
Authors: Robert M Cronin; Tim Lucas Dorner; Amol Utrankar; Whitney Allen; Mark Rodeghier; Adetola A Kassim; Gretchen Purcell Jackson; Michael R DeBaun Journal: Pain Med Date: 2019-08-01 Impact factor: 3.750
Authors: Alexander James Hamilton; Fergus J Caskey; Anna Casula; Carol D Inward; Yoav Ben-Shlomo Journal: Clin J Am Soc Nephrol Date: 2018-10-16 Impact factor: 8.237
Authors: Vincent K Cubaka; Michael Schriver; Janvier B Kayitare; Phil Cotton; Helle T Maindal; Laetitia Nyirazinyoye; Per Kallestrup Journal: Afr J Prim Health Care Fam Med Date: 2018-04-16
Authors: V Shane Pankratz; E Eunice Choi; Fares Qeadan; Donica Ghahate; Jeanette Bobelu; Robert G Nelson; Thomas Faber; Vallabh O Shah Journal: J Diabetes Complications Date: 2020-10-09 Impact factor: 2.852
Authors: William Martinez; Kenneth A Wallston; David G Schlundt; Gerald B Hickson; Kemberlee R Bonnet; Ricardo J Trochez; Tom A Elasy Journal: BMJ Open Diabetes Res Care Date: 2018-05-21