Citation / Type of Study/Methods / Primary Outcomes / Secondary Outcomes/Other Notes of Importance/Implications / Usefulness
O'Leary A. Self-efficacy and Health. Behav. Res. Ther. 1985.23 (4): 437 -451. / Summary article of health related research simulated by self-efficacy theory /
  • Review of a number of studies linking sense of self-efficacy with sustained behavioral change
  • Review of studies linking low self-efficacy and relapse in behavioral change
  • Summarizes studies showing relationship btw self-efficacy and pain
  • "" "" self-efficacy and eating disorders
  • "" "" cardiac rehab
  • "" "" and medical adherence
/ moderate
Kaplan S, Greenfield S, Ware J. Assessing the Effects of Physician-Patient Interactions on Outcomes of Chronic Disease. Medical Care. 1989. 27(3): S110 - S127. / Summarizes 3 RCTs and one non-equivalent controlled trial in which patient-physician communication shown to influence health outcomes /
  • 3 RCTs involving pts with ulcer disease, DM, and hypertension and one non-equivalent controlled trial in pts with breast cancer in which physicians trained in giving pts access to their health information, information about their condition, and coaching in behavioral change.
  • Shows decreased blood pressure and blood sugar, increased functional status, and increased subjective measure of overall health status related to aspects of patient-physician communication
/ moderately low
Wagner EH, Austin B, and Von Korff M. Organizing Care for Patients with Chronic IllnessTheMilibank Quarterly. 1996. 74 (4): 511-544. / Summarizes need for integrated, patient-centered care in chronic illness and highlights areas of successful chronic illness care / moderately low
Hibbard J, Greenlick M, Jimison H, Capizzi J, and Kunkel L. The Impact of Community-wise Self-care Information Project on Self-Care and Medical Care Utilization. Evaluation & The Health Professionals. 2001. 24(4): 400-423. / Quasiexperimental study with non-randomized experimental and control communities to assess the effects of Healthwise Communities Project in which a Healthwise Handbook on triaging self-care vs. seeking care on common issues was mailed to community homes, a Healthwisewebsite was established, a nurse advice line was set up, on use of self care resources, self care behavior, health care utilization, health care costs, and satisfaction with care in the target population /
  • Assessed via consumer surveys in the control and experimental communities at baseline, 24, and 36 months. Utilization data was assessed via 2 major hospitals and 2 major insurance plans in each of the communities.
  • "Findings indicate that the community intervention increased the use of self-care resources. Users believe that these products help them make better decisions regarding when to seek care and how to self-treat problems. Most believe that using the self-care resources saved them from unnecessary care. The findings from the utilization data provide some evidence tosupport this conclusion.
/
  • Interesting because this is an application of self-management support on a community level
/ low
Bodenheimer T, Wagner EH, Grumbach K. Improving Primary Care for Patients with Chronic Illness. JAMA. 2002; 288: 1775-1779. / Summary article reviewing state of chronic illness care and need for SMS /
  • Highlights diabetes collaborative at ClinicaCampesina as example of demonstrated A1c decrease with the right type of care delivery. Also Kaiser of North Colorado
/ low
Bodenheimer T, Lorig K, Holman H, and Grumbach K. Patient Self-management of Chronic Disease in Primary Care. JAMA. 2002; 288 (19): 2469 - 2475.
Hibbard J, Stockard J, Mahoney E, and Tusler M. Development of the Patient Activation Measur (PAM): Conceptualizing and Measuring Activation in Patients and Comsumers. Health Sciences Research. 2004; 39(4): 1005 - 1026. / Findings from national expert consensus panel and patient focus groups combined to define patient activation. Concept then pilot-tested and analyzed using Rasch methodology and subsequently refined/extended. Lastly, measure's overall performance and that in subpopulations was assessed/validated. /
  • PAM was developed and validated both in pts with and without chronic illness.
/
  • Great review list of foundational articles establishing link between patient engagement/activation and improved health outcomes and lower cost
/ high
Glasgow RE, Wagner EH, Schaefer J,
Mahoney LD, Reid RJ, Greene SM.
Development and validation of the
Patient Assessment of Chronic
Illness Care (PACIC). Med Care.
2005;43(5):436–44. / Validates the PACIC, a patient self-report on whether they received chronic illness care.
Deen D, et al. Asking Questions: The effect of a brief intervention in community health centers on patient activation. Patient Education and Counseling. 2011. 84: 257-260. / PAM scores and Patient preference for control (PPC) were analyzed before and after the use of a patient activation intervention focused on building question formulation skills (Right Question Project) to patients in community health centers prior to their next physician visit. /
  • statistically significant increase in PAM scores with intervention – 1/3 of pts moved from stage 1 or 2 to stage 3 or 4
  • pts preferring a more passive role had lower initial PAM scores and greater increases in their post-intervention PAM scores than those who preferred a more active role.
/
  • Good example of a patient activation intervention to increase PAM in minority and lower initial PAM population
/ moderate
Hibbard J, Greene J, and Overton V. Patients with Lower Activation Associated with Higher Costs; Delivery Systems Should Know Their Patients' 'Scores.' Health Affairs. 2013. 32 (2): 216-222. / Cross sectional analysis of 33,163 patients in large health care system (18% of total population) evaluating relationship between PAM score and outpatient cost data during the baseline year and in the subsequent six months in the year after PAM completed. /
  • Pts with the lowest activation levels had predicted average costs that were 8 percent (p<0.01) higher in the baseline year and 21 percent (p<0.05) higher in the first half the next year than the costs of patients with the highest activation levels.
/
  • Pt activation remained a significant predictor of cost even after adjustment for a commonly used :risk score" specifically desinged to predict future costs.
/ moderately high
Hibbard J and Greene J. What the Evidence Shows about Patient Activation: Better Health Outcomes and Care Experiences; Fewer Data on Costs. Health Affairs. 2013. 32 (2): 207-214. / Summary of current evidence /
  • 15 - 20 papers cited to support better health outcomes
  • Cites 7 studies that link activation to better patient experiences with healthcare
  • Cites 4 studies linking low activation scores and utilization
  • Reviews several programs in which interventions showed improvements in PAMs
/ high
Carman K, Dardess P, Maurer M, Sofaer S, Adams K, Bechtel C, Sweeney J. Patient and Family Engagement: A Framework for Understanding the Elements and Developing Interventions and Policies. Health Affairs 32(2): 223 - 231.