The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
When Patient Activation Levels Change, Health Outcomes And Costs Change, Too
Abstract
Patient engagement has become a major focus of health reform. However, there is limited evidence showing that increases in patient engagement are associated with improved health outcomes or lower costs. We examined the extent to which a single assessment of engagement, the Patient Activation Measure, was associated with health outcomes and costs over time, and whether changes in assessed activation were related to expected changes in outcomes and costs. We used data on adult primary care patients from a single large health care system where the Patient Activation Measure is routinely used. We found that results indicating higher activation in 2010 were associated with nine out of thirteen better health outcomes-including better clinical indicators, more healthy behaviors, and greater use of women's preventive screening tests-as well as with lower costs two years later. Changes in activation level were associated with changes in over half of the health outcomes examined, as well as costs, in the expected directions. These findings suggest that efforts to increase patient activation may help achieve key goals of health reform and that further research is warranted to examine whether the observed associations are causal.
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Cites
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
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
Self-citationDevelopment 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 1,935
Self-citationHibbard, J. H., & Greene, J. (2013) · Health Affairs · doi:10.1377/hlthaff.2012.1061 · Cited by 1,787
Deyo, R. A. (2010) · JAMA · doi:10.1001/jama.2010.338 · Cited by 1,520
Greene, J., & Hibbard, J. H. (2012) · Journal of General Internal Medicine · doi:10.1007/s11606-011-1931-2 · Cited by 1,028
Self-citationDo 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-citationMETHODS FOR ANALYZING HEALTH CARE UTILIZATION AND COSTS
Diehr, P., Yanez, D., Ash, A., Hornbrook, M., & Lin, D. Y. (1999) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.20.1.125 · Cited by 663
Executive Summary: Standards of Medical Care in Diabetes—2011
(2011) · Diabetes Care · doi:10.2337/dc11-s004 · Cited by 512
Cited by
Bell, S. K., Mejilla, R., Anselmo, M., Darer, J. D., Elmore, J. G., Leveille, S., Ngo, L., Ralston, J. D., Delbanco, T., & Walker, J. (2017) · BMJ Quality & Safety · doi:10.1136/bmjqs-2015-004697 · Cited by 213
Many Mobile Health Apps Target High-Need, High-Cost Populations, But Gaps Remain
Singh, K., Drouin, K., Newmark, L. P., Lee, J., Faxvaag, A., Rozenblum, R., Pabo, E. A., Landman, A., Klinger, E., & Bates, D. W. (2016) · Health Affairs · doi:10.1377/hlthaff.2016.0578 · Cited by 201
Wang, L.-L., Ma, J.-J., Meng, H.-H., & Zhou, J. (2021) · World Journal of Clinical Cases · doi:10.12998/wjcc.v9.i24.7062 · Cited by 56
van der Hout, A., van Uden-Kraan, C. F., Holtmaat, K., Jansen, F., Lissenberg-Witte, B. I., Nieuwenhuijzen, G. A. P., Hardillo, J. A., Baatenburg de Jong, R. J., Tiren-Verbeet, N. L., Sommeijer, D. W., et al. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100429 · Cited by 29
“Cancer survivors are nowadays expected to manage effects of cancer treatment, adopt a healthy lifestyle in order to reduce or prevent late effects, and cope with psychological consequences (Greene et al., 2015; Howell et al., 2020; Jansen et al., 2015).”
BackgroundRODRIGUEZ, H. P., POON, B. Y., WANG, E., & SHORTELL, S. M. (2019) · The Milbank Quarterly · doi:10.1111/1468-0009.12400 · Cited by 21
Metadata
- Authors
- Greene, J., Hibbard, J. H., Sacks, R., Overton, V., & Parrotta, C. D.
- Venue
- Health Affairs
- Publisher
- Health Affairs Publishing, LLC
- Published
- 2015-03
- Volume
- 34
- Issue
- 3
- Pages
- 431-437
- ISSN
- 0278-2715 (ISSN-L)
- 1544-5208
- OpenAlex
- W2008065712
- Cited by
- 573
- References
- 27
- FWCI
- 86.47
- Type
- journal article
- Language
- en
- Open access
- closed
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