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How do People with Different Levels of Activation Self-Manage their Chronic Conditions?

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Abstract

Background: People with chronic conditions are better able to self-manage if they are more engaged, informed, and confident. Healthcare providers are increasingly offering support for self-management, and there is interest in improving the efficacy of these efforts by tailoring them to a person’s knowledge, skill, and confidence to self-manage — so-called ‘activation.’

Objective: To explore how people with chronic conditions at different levels of ‘activation’ (as measured by the Patient Activation Measure) understand successful self-management, what barriers to self-management they face, and what strategies they employ to manage their condition and to cope with stress.

Methods: Face-to-face semi-structured interviews were conducted with a stratified convenience sample of respondents with at least one chronic condition (n = 27) who were non-faculty staff at the University of Oregon (Eugene, OR, USA). Stratification was performed using the level of patient activation. Interviews took place in February and March 2006 in a private office on the university campus.

Results: Those people lower in activation tended to see successful self-management as compliance whereas those at higher activation levels saw it as being in control. People with lower activation levels indicated that lack of knowledge and lack of confidence were barriers for them. Both the high and low activated could be derailed by stress. People with lower activation levels talked about a more limited number of strategies for coping but both the high and low activated had learned strategies from professionals and by trial and error.

Conclusions: Some aspects of self-management support may need to be tailored for people at different levels of activation to ensure that differences in their understanding, knowledge, and confidence are addressed. However, there are also likely to be some types of self-management support such as stress-coping strategies and problem-solving skills that are beneficial for all patients with chronic conditions regardless of activation level.

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Notes

  1. The PAM is a theoretical 0–100 measure, with most people falling in the 39–90 range.

  2. Survey participants were recruited using a flyer distributed to all non-faculty staff. Participants were paid $US15 and the survey took approximately 20 minutes to complete.

  3. Some examples of these conditions were given (e.g. high cholesterol, high blood pressure, arthritis, asthma, allergies, and diabetes).

References

  1. Lorig K. Outcome measures for health education and other health care interventions. Thousand Oaks (CA): Sage Publications, 1996

    Google Scholar 

  2. Von Korff M, Gruman J, Schaefer J, et al. Collaborative management of chronic illness. Ann Intern Med 1997 Dec; 127(12): 1097–102

    Google Scholar 

  3. Von Korff M, Moore JE, Lorig K, et al. A randomized trial of a lay person-led self-management group intervention for back pain patients in primary care. Spine 1998 Dec 1; 23(23): 2608–15

    Article  Google Scholar 

  4. Lorig K, Seleznick M, Lubeck D, et al. The beneficial outcomes of the arthritis self-management course are not adequately explained by behavior change. Arthritis Rheum 1989 Jan; 32(1): 91–5

    Article  PubMed  CAS  Google Scholar 

  5. Lorig KR, Sobel DS, Stewart AL, et al. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care 1999 Jan; 37(1): 5–14

    Article  PubMed  CAS  Google Scholar 

  6. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract 1998 Aug/Sep; 1(1): 2–4

    PubMed  CAS  Google Scholar 

  7. Rijken M, Jones M, Heijmans M, et al. Supporting self-management. In: Nolte E, Mckee M, editors. Caring for people with chronic conditions: a health system perspective. Berkshire: Open University Press, 2008: 116–42

    Google Scholar 

  8. Coulter A, Ellins J. Quest for quality and improved performance: patient-focused interventions. A review of the evidence. London: The Health Foundation, Picker Institute Europe, 2006

    Google Scholar 

  9. Ryan P, Lauver DR. The efficacy of tailored interventions. J Nurs Scholarsh 2002; 34(4): 331–7

    Article  PubMed  Google Scholar 

  10. Hibbard JH, Stockard J, Mahoney ER, et al. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res 2004; 39 (4 Pt 1): 1005–26

    Article  PubMed  Google Scholar 

  11. Hibbard JH, Mahoney ER, Stockard J, et al. Development and testing of a short form of the patient activation measure. Health Serv Res 2005; 40 (6 Pt 1): 1918–30

    Article  PubMed  Google Scholar 

  12. Remmers C, Hibbard JH, Mosen DM, et al. Is patient activation associated with future health outcomes and healthcare utilization among patients with diabetes? J Ambulatory Care Management 2009. In press

  13. Hibbard JH, Mahoney ER, Stock R, et al. Do increases in patient activation result in improved self-management behaviors? Health Serv Res 2007 Aug; 42(4): 1443–63

    Article  PubMed  Google Scholar 

  14. Fowles J, Terry P, Xi M, et al. Measuring self-management of patients’ and employees’ health: further validation of the Patient Activation Measure (PAM) based on its relation to employee characteristics. Patient Educ Couns 2009 Oct; 77(1): 116–22

    Article  PubMed  Google Scholar 

  15. Hibbard JH, Greene J, Tusler M. Improving the outcomes of disease-management by tailoring care to the patient’s level of activation. Am J Manag Care 2009; 15(6): 353–60

    PubMed  Google Scholar 

  16. Qualis Health. Evaluation of Washington State Medicaid Chronic Care Management Projects [online]. Available from URL: http://maa.dshs.wa.gov/healthyoptions/newho/reports/CCM/WA%20DSHS%20Chronic%20Care%20Management%20Evaluation%20Report%2001-09pdf.pdf [Accessed 2009 Sep 17]

  17. Bandura A. Self efficacy: the exercise of control. New York: Freeman, 1997

    Google Scholar 

  18. Lazarus RS, Folkman S. Stress, appraisal and coping. New York: Springer, 1984

    Google Scholar 

Download references

Acknowledgments

Judith Hibbard and Martin Tusler have ownership interests in, and are consultants to, Insignia Health LLC, which holds licensing rights to the PAM. No sources of funding were used to assist in the preparation of this study. Support was provided by the Commonwealth Fund. The views presented here are those of the authors and should not be attributed to the Commonwealth Fund or its directors, officers, or staff.

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Correspondence to Anna Dixon.

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Dixon, A., Hibbard, J. & Tusler, M. How do People with Different Levels of Activation Self-Manage their Chronic Conditions?. Patient-Patient-Centered-Outcome-Res 2, 257–268 (2009). https://doi.org/10.2165/11313790-000000000-00000

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