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Published in: Journal of General Internal Medicine 8/2009

01-08-2009 | Original Article

Statewide Evaluation of Measuring Physician Delivery of Self-Management Support in Chronic Disease Care

Authors: Thomas D. Sequist, MD, MPH, Ted von Glahn, MS, Angela Li, MPH, William H. Rogers, PhD, Dana Gelb Safran, ScD

Published in: Journal of General Internal Medicine | Issue 8/2009

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ABSTRACT

BACKGROUND

Self-management support is an important component of improving chronic care delivery.

OBJECTIVE

To validate a new measure of self-management support and to characterize performance, including comparisons across chronic conditions.

DESIGN, SETTING, PARTICIPANTS

We incorporated a new question module for self-management support within an existing annual statewide patient survey process in 2007.

MEASUREMENTS

The survey identified 80,597 patients with a chronic illness on whom the new measure could be evaluated and compared with patients’ experiences on four existing measures (quality of clinical interactions, coordination of care, organizational access, and office staff). We calculated Spearman correlation coefficients for self-management support scores for individual chronic conditions within each medical group. We fit multivariable logistic regression models to identify predictors of more favorable performance on self-management support.

RESULTS

Composite scores of patient care experiences, including quality of clinical interactions (89.2), coordination of care (77.6), organizational access (76.3), and office staff (85.8) were higher than for the self-management support composite score (69.9). Self-management support scores were highest for patients with cancer (73.0) and lowest for patients with hypertension (67.5). The minimum sample size required for medical groups to provide a reliable estimate of self-management support was 199. There was no consistent correlation between self-management support scores for individual chronic conditions within medical groups. Increased involvement of additional members of the healthcare team was associated with higher self-management support scores across all chronic conditions.

CONCLUSION

Measurement of self-management support is feasible and can identify gaps in care not currently included in standard measures of patient care experiences.
Literature
1.
go back to reference Vogeli C, Shields AE, Lee TA, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007;22(Suppl 3):391–5.PubMedCrossRef Vogeli C, Shields AE, Lee TA, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007;22(Suppl 3):391–5.PubMedCrossRef
2.
go back to reference Hardy GE Jr. The burden of chronic disease: the future is prevention. Introduction to Dr. James Marks’ presentation, “The Burden of Chronic Disease and the Future of Public Health". Prev Chronic Dis. 2004;1:A04.PubMed Hardy GE Jr. The burden of chronic disease: the future is prevention. Introduction to Dr. James Marks’ presentation, “The Burden of Chronic Disease and the Future of Public Health". Prev Chronic Dis. 2004;1:A04.PubMed
3.
4.
go back to reference Harvey PW, Petkov JN, Misan G, et al. Self-management support and training for patients with chronic and complex conditions improves health-related behaviour and health outcomes. Aust Health Rev. 2008;32:330–8.PubMedCrossRef Harvey PW, Petkov JN, Misan G, et al. Self-management support and training for patients with chronic and complex conditions improves health-related behaviour and health outcomes. Aust Health Rev. 2008;32:330–8.PubMedCrossRef
5.
go back to reference Bayliss EA, Bosworth HB, Noel PH, Wolff JL, Damush TM, McIver L. Supporting self-management for patients with complex medical needs: recommendations of a working group. Chronic Illn. 2007;3:167–175.PubMedCrossRef Bayliss EA, Bosworth HB, Noel PH, Wolff JL, Damush TM, McIver L. Supporting self-management for patients with complex medical needs: recommendations of a working group. Chronic Illn. 2007;3:167–175.PubMedCrossRef
6.
go back to reference Fisher EB, Brownson CA, O’Toole ML, Shetty G, Anwuri VV, Glasgow RE. Ecological approaches to self-management: the case of diabetes. Am J Public Health. 2005;95:1523–535.PubMedCrossRef Fisher EB, Brownson CA, O’Toole ML, Shetty G, Anwuri VV, Glasgow RE. Ecological approaches to self-management: the case of diabetes. Am J Public Health. 2005;95:1523–535.PubMedCrossRef
7.
go back to reference Gibson PG, Powell H, Coughlan J, et al. Self-management education and regular practitioner review for adults with asthma. Cochrane Database Syst Rev. 2003: CD001117. Gibson PG, Powell H, Coughlan J, et al. Self-management education and regular practitioner review for adults with asthma. Cochrane Database Syst Rev. 2003: CD001117.
8.
go back to reference Coleman MT, Newton KS. Supporting self-management in patients with chronic illness. Am Fam Physician. 2005;72:1503–510.PubMed Coleman MT, Newton KS. Supporting self-management in patients with chronic illness. Am Fam Physician. 2005;72:1503–510.PubMed
9.
go back to reference Audet AM, Davis K, Schoenbaum SC. Adoption of patient-centered care practices by physicians: results from a national survey. Arch Intern Med. 2006;166:754–9.PubMedCrossRef Audet AM, Davis K, Schoenbaum SC. Adoption of patient-centered care practices by physicians: results from a national survey. Arch Intern Med. 2006;166:754–9.PubMedCrossRef
10.
go back to reference Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, Part 2. JAMA. 2002;288:1909–1914.PubMedCrossRef Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, Part 2. JAMA. 2002;288:1909–1914.PubMedCrossRef
11.
go back to reference Casalino L, Gillies RR, Shortell SM, et al. External incentives, information technology, and organized processes to improve health care quality for patients with chronic diseases. JAMA. 2003;289:434–441.PubMedCrossRef Casalino L, Gillies RR, Shortell SM, et al. External incentives, information technology, and organized processes to improve health care quality for patients with chronic diseases. JAMA. 2003;289:434–441.PubMedCrossRef
12.
go back to reference Siminerio LM, Piatt GA, Emerson S, et al. Deploying the chronic care model to implement and sustain diabetes self-management training programs. Diabetes Educ. 2006;32:253–260.PubMedCrossRef Siminerio LM, Piatt GA, Emerson S, et al. Deploying the chronic care model to implement and sustain diabetes self-management training programs. Diabetes Educ. 2006;32:253–260.PubMedCrossRef
13.
go back to reference Safran DG, Karp M, Coltin K, et al. Measuring patients’ experiences with individual primary care physicians. Results of a statewide demonstration project. J Gen Intern Med. 2006;21:13–21.PubMedCrossRef Safran DG, Karp M, Coltin K, et al. Measuring patients’ experiences with individual primary care physicians. Results of a statewide demonstration project. J Gen Intern Med. 2006;21:13–21.PubMedCrossRef
14.
go back to reference Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148:111–123.PubMed Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148:111–123.PubMed
15.
go back to reference Rosenthal MB, Landon BE, Normand SL, Frank RG, Epstein AM. Pay for performance in commercial HMOs. N Engl J Med. 2006;355:1895–1902.PubMedCrossRef Rosenthal MB, Landon BE, Normand SL, Frank RG, Epstein AM. Pay for performance in commercial HMOs. N Engl J Med. 2006;355:1895–1902.PubMedCrossRef
16.
go back to reference Glasgow RE, Peeples M, Skovlund SE. Where is the patient in diabetes performance measures? The case for including patient-centered and self-management measures. Diabetes Care. 2008;31:1046–1050.PubMedCrossRef Glasgow RE, Peeples M, Skovlund SE. Where is the patient in diabetes performance measures? The case for including patient-centered and self-management measures. Diabetes Care. 2008;31:1046–1050.PubMedCrossRef
17.
go back to reference Solomon LS, Hays RD, Zaslavsky AM, Ding L, Cleary PD. Psychometric properties of a group-level Consumer Assessment of Health Plans Study (CAHPS) instrument. Med Care. 2005;43:53–60.PubMed Solomon LS, Hays RD, Zaslavsky AM, Ding L, Cleary PD. Psychometric properties of a group-level Consumer Assessment of Health Plans Study (CAHPS) instrument. Med Care. 2005;43:53–60.PubMed
18.
go back to reference Burdine JN, Felix MR, Abel AL, Wiltraut CJ, Musselman YJ. The SF-12 as a population health measure: an exploratory examination of potential for application. Health Serv Res. 2000;35:885–904.PubMed Burdine JN, Felix MR, Abel AL, Wiltraut CJ, Musselman YJ. The SF-12 as a population health measure: an exploratory examination of potential for application. Health Serv Res. 2000;35:885–904.PubMed
19.
go back to reference Sequist TD, Schneider EC, Anastario M, et al. Quality monitoring of physicians: linking patients’ experiences of care to clinical quality and outcomes. J Gen Intern Med. 2008;23:1784–1790.PubMedCrossRef Sequist TD, Schneider EC, Anastario M, et al. Quality monitoring of physicians: linking patients’ experiences of care to clinical quality and outcomes. J Gen Intern Med. 2008;23:1784–1790.PubMedCrossRef
20.
go back to reference Nunnally JC, Bernstein IH. Psychometric Theory. New York: McGraw Hilll; 1994. Nunnally JC, Bernstein IH. Psychometric Theory. New York: McGraw Hilll; 1994.
21.
go back to reference Pham HH, O’Malley AS, Bach PB, Saiontz-Martinez C, Schrag D. Primary care physicians’ links to other physicians through Medicare patients: the scope of care coordination. Ann Intern Med. 2009;150:236–242.PubMed Pham HH, O’Malley AS, Bach PB, Saiontz-Martinez C, Schrag D. Primary care physicians’ links to other physicians through Medicare patients: the scope of care coordination. Ann Intern Med. 2009;150:236–242.PubMed
22.
go back to reference Pham HH, Schrag D, O’Malley AS, Wu B, Bach PB. Care patterns in Medicare and their implications for pay for performance. N Engl J Med. 2007;356:1130–9.PubMedCrossRef Pham HH, Schrag D, O’Malley AS, Wu B, Bach PB. Care patterns in Medicare and their implications for pay for performance. N Engl J Med. 2007;356:1130–9.PubMedCrossRef
23.
go back to reference Casalino LP. Disease management and the organization of physician practice. JAMA. 2005;293:485–8.PubMedCrossRef Casalino LP. Disease management and the organization of physician practice. JAMA. 2005;293:485–8.PubMedCrossRef
24.
go back to reference Davis K, Schoenbaum SC, Audet AM. A 2020 vision of patient-centered primary care. J Gen Intern Med. 2005;20:953–7.PubMedCrossRef Davis K, Schoenbaum SC, Audet AM. A 2020 vision of patient-centered primary care. J Gen Intern Med. 2005;20:953–7.PubMedCrossRef
25.
go back to reference Brownson CA, Miller D, Crespo R, et al. A quality improvement tool to assess self-management support in primary care. Jt Comm J Qual Patient Saf. 2007;33:408–416.PubMed Brownson CA, Miller D, Crespo R, et al. A quality improvement tool to assess self-management support in primary care. Jt Comm J Qual Patient Saf. 2007;33:408–416.PubMed
26.
go back to reference Bonomi AE, Wagner EH, Glasgow RE, VonKorff M. Assessment of chronic illness care (ACIC): a practical tool to measure quality improvement. Health Serv Res. 2002;37:791–820.PubMedCrossRef Bonomi AE, Wagner EH, Glasgow RE, VonKorff M. Assessment of chronic illness care (ACIC): a practical tool to measure quality improvement. Health Serv Res. 2002;37:791–820.PubMedCrossRef
27.
go back to reference Glasgow RE, Davis CL, Funnell MM, Beck A. Implementing practical interventions to support chronic illness self-management. Jt Comm J Qual Saf. 2003;29:563–574.PubMed Glasgow RE, Davis CL, Funnell MM, Beck A. Implementing practical interventions to support chronic illness self-management. Jt Comm J Qual Saf. 2003;29:563–574.PubMed
28.
go back to reference Glasgow RE, Funnell MM, Bonomi AE, Davis C, Beckham V, Wagner EH. Self-management aspects of the improving chronic illness care breakthrough series: implementation with diabetes and heart failure teams. Ann Behav Med. 2002;24:80–7.PubMedCrossRef Glasgow RE, Funnell MM, Bonomi AE, Davis C, Beckham V, Wagner EH. Self-management aspects of the improving chronic illness care breakthrough series: implementation with diabetes and heart failure teams. Ann Behav Med. 2002;24:80–7.PubMedCrossRef
29.
go back to reference Shetty G, Brownson CA. Characteristics of organizational resources and supports for self management in primary care. Diabetes Educ. 2007;33(Suppl 6):185S–192S.PubMedCrossRef Shetty G, Brownson CA. Characteristics of organizational resources and supports for self management in primary care. Diabetes Educ. 2007;33(Suppl 6):185S–192S.PubMedCrossRef
30.
go back to reference McCormack LA, Williams-Piehota PA, Bann CM, et al. Development and validation of an instrument to measure resources and support for chronic illness self-management: a model using diabetes. Diabetes Educ. 2008;34:707–718.PubMedCrossRef McCormack LA, Williams-Piehota PA, Bann CM, et al. Development and validation of an instrument to measure resources and support for chronic illness self-management: a model using diabetes. Diabetes Educ. 2008;34:707–718.PubMedCrossRef
31.
go back to reference Gillies RR, Shortell SM, Casalino L, Robinson JC, Rundall TG. How different is California? A comparison of U.S. physician organizations. Health Aff (Millwood). 2003: W3–492–502. Suppl Web Exclusives. Gillies RR, Shortell SM, Casalino L, Robinson JC, Rundall TG. How different is California? A comparison of U.S. physician organizations. Health Aff (Millwood). 2003: W3–492–502. Suppl Web Exclusives.
Metadata
Title
Statewide Evaluation of Measuring Physician Delivery of Self-Management Support in Chronic Disease Care
Authors
Thomas D. Sequist, MD, MPH
Ted von Glahn, MS
Angela Li, MPH
William H. Rogers, PhD
Dana Gelb Safran, ScD
Publication date
01-08-2009
Publisher
Springer-Verlag
Published in
Journal of General Internal Medicine / Issue 8/2009
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-009-1033-6

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