The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Is Patient Activation Associated With Future Health Outcomes and Healthcare Utilization Among Patients With Diabetes?
Abstract
We examined the relationship between the patient activation measure (PAM) and future diabetes-related health outcomes through retrospective analysis of secondary data using multivariate logistic regression. PAM scores from a 2004 survey on 1180 randomly sampled adults with diabetes and health information from a 2006 diabetes registry were the data sources used. The PAM was predictive for hemoglobin A1c (HgA1c) testing (P < .008), low-density lipoprotein cholesterol (LDL-C) testing (P < .005), HgA1c control (P < .01), and all-cause discharges (P < .03), but not for lipid-lowering drug use, LDL-C control, or acute myocardial infarction discharges. These results suggest that PAM scores can be used to identify patients at risk for poorer health outcomes.
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In the citing paper
“Poor medication adherence, lack of patient engagement, and therapeutic inertia are major contributors to patients not reaching their therapeutic targets [8-12].”
In the citing paper
“Participants also completed the 10-question Patient Activation Measure (PAM), a validated measure of patient activation that includes person’s beliefs, motivation, and actions for self-care at these visits [9,23,24].”
In the citing paper
“a 1-point increase in PAM score is associated with a 1.8% increased likelihood of decreasing HbA1c to less than 8% [9].”
Citations
Cites
Crossing the Quality Chasm: A New Health System for the 21st Century
Baker, A. (2001) · BMJ · doi:10.1136/bmj.323.7322.1192 · Cited by 10,779
Patient Self-management of Chronic Disease in Primary Care
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.19.2469 · Cited by 3,598 · cited 5×
“Chronic illnesses are not well managed (Bodenheimer et al., 2002b), and diabetes specifically has been found to be poorly controlled in the Author Affiliations: Kaiser Permanente Utility for Care Data Analysis, Oakland, California (Dr Remmers); Department of Planning, Public Policy and Management,…”
BackgroundInfluentialImproving Primary Care for Patients With Chronic Illness
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.14.1775 · Cited by 2,961
Hibbard, J. H., Stockard, J., Mahoney, E. R., & Tusler, M. (2004) · Health Services Research · doi:10.1111/j.1475-6773.2004.00269.x · Cited by 2,748 · cited 6×
“It was scaled and tested using the Rasch methodology, which yielded a 22-item instrument measured on a theoretical 0–100 scale where 100 represents the highest activation level (Hibbard et al., 2004).”
BackgroundMethodInfluentialSelf-citationImproving Primary Care for Patients With Chronic Illness: The Chronic Care Model, Part 2
Bodenheimer, T., Wagner, E. H., & Grumbach, K. (2002) · JAMA · doi:10.1001/jama.288.15.1909 · Cited by 2,413
Lorig, K. R., Sobel, D. S., Stewart, A. L., Brown, B. W., Bandura, A., Ritter, P., Gonzalez, V. M., Laurent, D. D., & Holman, H. R. (1999) · Medical Care · doi:10.1097/00005650-199901000-00003 · Cited by 2,261
Development and Testing of a Short Form of the Patient Activation Measure
Hibbard, J. H., Mahoney, E. R., Stockard, J., & Tusler, M. (2005) · Health Services Research · doi:10.1111/j.1475-6773.2005.00438.x · Cited by 1,944
Self-citationIncidence of Parkinson's Disease: Variation by Age, Gender, and Race/Ethnicity
Eeden, S. K. V. D. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg068 · Cited by 1,805
Collaborative Management of Chronic Illness
Von Korff, M., Gruman, J., Schaefer, J., Curry, S. J., & Wagner, E. H. (1997) · Annals of Internal Medicine · doi:10.7326/0003-4819-127-12-199712150-00008 · Cited by 1,269 · cited 1×
“Assessing level of activation is important because many researchers (Lorig et al., 1999; Mosen et al., 2007; Von Korff et al., 1997) have found that engaged, informed, confident, and skilled patients are more likely to perform activities that will promote their own health.”
BackgroundDo increases in patient activation result in improved self-management behaviors?
Hibbard, J. H., Mahoney, E. R., Stock, R., & Tusler, M. (2007) · Health Services Research · doi:10.1111/j.1475-6773.2006.00669.x · Cited by 906
Self-citation
Cited by
Sorted by citations
Hibbard, J. H., & Greene, J. (2013) · Health Affairs · doi:10.1377/hlthaff.2012.1061 · Cited by 1,787
Self-citationGreene, J., & Hibbard, J. H. (2011) · Journal of General Internal Medicine · doi:10.1007/s11606-011-1931-2 · Cited by 1,028
Self-citationWhen Patient Activation Levels Change, Health Outcomes And Costs Change, Too
Greene, J., Hibbard, J. H., Sacks, R. M., Overton, V., & Parrotta, C. (2015) · Health Affairs · doi:10.1377/hlthaff.2014.0452 · Cited by 577
Self-citationSecondary Prevention After Coronary Artery Bypass Graft Surgery
Kulik, A., Ruel, M., Jneid, H. M., Ferguson, T. B., Hiratzka, L. F., Ikonomidis, J. S., López-Jiménez, F. A., McNallan, S. M., Patel, M. J., Roger, V. L., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000182 · Cited by 457
Hibbard, J. H., Greene, J., & Overton, V. (2013) · Health Affairs · doi:10.1377/hlthaff.2012.1064 · Cited by 398
Self-citation
Metadata
- Authors
- Remmers, C., Hibbard, J., Mosen, D. M., Wagenfield, M., Hoye, R. E., & Jones, C.
- Affiliations
- Kaiser Permanente (US)
- Venue
- Journal of Ambulatory Care Management
- Published
- 2009-10
- Volume
- 32
- Issue
- 4
- Pages
- 320-327
- ISSN
- 0148-9917 (ISSN-L)
- OpenAlex
- W2313471168
- Cited by
- 242
- References
- 18
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 14 · 2023: 15 · 2022: 15 · 2021: 15 · 2020: 16 · 2019: 14 · 2018: 26 · 2017: 23 · 2016: 21 · 2015: 17 · 2014: 20 · 2013: 14 · 2012: 4
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Ambulatory Care Management (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- patient activation, Patient Activation Measure, diabetes mellitus, health outcomes, health care utilization, LDL cholesterol testing, hospital discharge, risk identification, patient engagement
- MeSH terms
- Diabetes Mellitus, Female, Humans, Male, Middle Aged, Patient Education as Topic, Patient Participation, Retrospective Studies, Self Care, Self Efficacy
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