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Effect of Changes in Patient’s Self-management Strategies on Clinical Outcomes: Evidence from a Cohort Study of Patients with Diabetes, Hypertension, and Hyperlipidemia

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Abstract

Background

Self-management has become the dominant care model for chronic disease management. This study aimed to investigate the effect of changes in self-management strategies on the clinical outcomes of chronic diseases.

Methods

Two hundred ninety-seven patients with one or more chronic disease (diabetes, dyslipidemia, or hypertension) were registered and followed in this prospective cohort study. We compared differences in the changes in clinical outcomes from baseline to 6 months according to the improvement of self-management strategies by analysis of covariance.

Results

Diabetic patients with improved self-management strategies showed a significantly greater change in HbA1c levels compared to patients without improvement of self-management strategies (group difference in HbA1c = 0.51%). In hypertensive patients, systolic and diastolic blood pressure (BP) showed a significant decline in the patients with improved self-management strategies (group difference in systolic BP = 6.2 mmHg and in diastolic BP = 5.5 mmHg). Clinical outcomes improved significantly when self-management strategies improved in people with a poor self-management strategy at baseline.

Conclusions

This study suggests that improvements in self-management strategies are associated with an improvement in clinical outcomes among patients with chronic diseases, especially for those with an initially poor self-management strategy.

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Abbreviations

SAT-SF:

Smart Management Strategy for Health Assessment Tool Short Form

SAT-C:

Self-management strategies—core strategies

SAT-P:

Self-management strategies—preparation strategies

SAT-I:

Self-management strategies—implementation strategies

HbA1c:

Glycated hemoglobin

FBS:

Fasting blood glucose

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

TC:

Total cholesterol

LDL-C:

Low-density lipoprotein cholesterol

References

  1. WHO. Global status report on noncommunicable diseases 2010: Geneva: World Health Organization; 2011.

  2. Ferguson T. Consumer health informatics. Healthc Forum J. 1995;38(1):28–33.

    CAS  PubMed  Google Scholar 

  3. Booth JN 3rd, Levitan EB, Brown TM, Farkouh ME, Safford MM, Muntner P. Effect of sustaining lifestyle modifications (nonsmoking, weight reduction, physical activity, and mediterranean diet) after healing of myocardial infarction, percutaneous intervention, or coronary bypass (from the Reasons for Geographic and Racial Differences in Stroke Study). Am J Cardiol. 2014;113(12):1933–40. https://doi.org/10.1016/j.amjcard.2014.03.033.

    Article  PubMed  PubMed Central  Google Scholar 

  4. 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(2):80–7.

    Article  Google Scholar 

  5. Brown SA, García AA, Brown A, et al. Biobehavioral determinants of glycemic control in type 2 diabetes: A systematic review and meta-analysis. Patient Educ Couns. 2016;99(10):1558–67. https://doi.org/10.1016/j.pec.2016.03.020.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Peyrot M, Rubin RR. Behavioral and psychosocial interventions in diabetes: a conceptual review. Diabetes Care. 2007;30(10):2433–40. https://doi.org/10.2337/dc07-1222.

    Article  PubMed  Google Scholar 

  7. den Braver NR, de Vet E, Duijzer G, et al. Determinants of lifestyle behavior change to prevent type 2 diabetes in high-risk individuals. Int J Behav Nutr Phys Act. 2017;14(1):78. https://doi.org/10.1186/s12966-017-0532-9.

    Article  Google Scholar 

  8. Beck J, Greenwood DA, Blanton L, et al. 2017 National standards for diabetes self-management education and support. Diabetes Educ. 2018;44(1):35–50.

    Article  Google Scholar 

  9. Educators NCBFD. Renewal of Certification by Continuing Education Handbook 2019.

  10. Comprehensive Medical Evaluation and Assessment of Comorbidities. Standards of Medical Care in Diabetes—2019. Diabetes Care. 2019;42(Supplement 1):S34–45. https://doi.org/10.2337/dc19-S004.

    Article  Google Scholar 

  11. Yun YH, Jung JY, Sim JA, et al. Patient-reported assessment of self-management strategies of health in cancer patients: development and validation of the Smart Management Strategy for Health Assessment Tool (SAT). Psychooncology. 2015;24(12):1723–30. https://doi.org/10.1002/pon.3839.

    Article  PubMed  Google Scholar 

  12. Yun YH, Jung JY, Sim JA, et al. Development and validation of the smart management strategy for health assessment tool-short form (SAT-SF) in cancer survivors. Qual Life Res. 2018a;27(2):347–54. https://doi.org/10.1007/s11136-017-1723-1.

    Article  PubMed  Google Scholar 

  13. Yun YH, Jung JY, Sim JA, et al. Development and validation of the smart management strategy for health assessment tool-short form (SAT-SF) in cancer survivors. Qual Life Res. 2018;27(2):347–54.

    Article  Google Scholar 

  14. Dorresteijn JAN, Graaf Yvd, Spiering W, Grobbee DE, Bots ML, Visseren FLJ. Relation between blood pressure and vascular events and mortality in patients with manifest vascular disease. Hypertension. 2012;59(1):14-21. https://doi.org/10.1161/HYPERTENSIONAHA.111.179143

  15. Yi SW, Park S, Lee YH, Balkau B, Yi JJ. Fasting glucose and all-cause mortality by age in diabetes: a prospective cohort study. Diabetes Care. 2018;41(3):623–6. https://doi.org/10.2337/dc17-1872.

    Article  PubMed  Google Scholar 

  16. Fujioka K, Brazg RL, Raz I, et al. Efficacy, dose-response relationship and safety of once-daily extended-release metformin (Glucophage XR) in type 2 diabetic patients with inadequate glycaemic control despite prior treatment with diet and exercise: results from two double-blind, placebo-controlled studies. Diabetes Obes Metab. 2005;7(1):28–39. https://doi.org/10.1111/j.1463-1326.2004.00369.x.

    Article  CAS  PubMed  Google Scholar 

  17. Julius S, Kjeldsen SE, Weber M, et al. Outcomes in hypertensive patients at high cardiovascular risk treated with regimens based on valsartan or amlodipine: the VALUE randomised trial. The Lancet. 2004;363(9426):2022–31. https://doi.org/10.1016/S0140-6736(04)16451-9.

    Article  CAS  Google Scholar 

  18. Peterson KA, Hughes M. Readiness to change and clinical success in a diabetes educational program. J Am Board Fam Pract. 2002;15(4):266–71.

    PubMed  Google Scholar 

  19. Lorig K, Ritter PL, Turner RM, English K, Laurent DD, Greenberg J. A diabetes self-management program: 12-month outcome sustainability from a nonreinforced pragmatic trial. J Med Internet Res. 2016;18(12):e322. https://doi.org/10.2196/jmir.6484.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Dickinson HO, Mason JM, Nicolson DJ, et al. Lifestyle interventions to reduce raised blood pressure: a systematic review of randomized controlled trials. J Hypertens. 2006;24(2):215–33. https://doi.org/10.1097/01.hjh.0000199800.72563.26.

    Article  CAS  PubMed  Google Scholar 

  21. McManus RJ, Mant J, Haque MS, et al. Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA. 2014;312(8):799–808. https://doi.org/10.1001/jama.2014.10057.

    Article  CAS  PubMed  Google Scholar 

  22. Bosworth HB, Powers BJ, Olsen MK, et al. Home blood pressure management and improved blood pressure control: results from a randomized controlled trial. Arch Intern Med. 2011;171(13):1173–80. https://doi.org/10.1001/archinternmed.2011.276.

    Article  PubMed  Google Scholar 

  23. Martens A, Greenberg J, Allen J, Hayes J, Schimel J, Johns M. Self-esteem and autonomic physiology: Self-esteem levels predict cardiac vagal tone. J Res Pers. 2010;44:573–84. https://doi.org/10.1016/j.jrp.2010.07.001.

    Article  Google Scholar 

  24. Edmondson D, Arndt J, Alcantara C, Chaplin W, Schwartz JE. Self-esteem and the acute effect of anxiety on ambulatory blood pressure. Psychosomatic medicine. 2015;77(7):833–41. https://doi.org/10.1097/PSY.0000000000000219.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Meor Anuar Shuhaili MFR, Samsudin IN, Stanslas J, Hasan S, Thambiah SC. Effects of different types of statins on lipid profile: A perspective on Asians. Int J Endocrinol Metab. 2017;15(2):e43319. doi:https://doi.org/10.5812/ijem.43319

  26. Mensink RP, Zock PL, Kester AD, Katan MB. Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: a meta-analysis of 60 controlled trials. Am J Clin Nutr. 2003;77(5):1146–55. https://doi.org/10.1093/ajcn/77.5.1146.

    Article  CAS  PubMed  Google Scholar 

  27. Authors/Task Force M, Catapano AL, Graham I, et al. ESC/EAS Guidelines for the Management of Dyslipidaemias: The Task Force for the Management of Dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS) Developed with the special contribution of the European Assocciation for Cardiovascular Prevention & Rehabilitation (EACPR). Atherosclerosis. 2016;2016(253):281–344. https://doi.org/10.1016/j.atherosclerosis.2016.08.018.

    Article  CAS  Google Scholar 

  28. Chahal N, Rush J, Manlhiot C, Boydell KM, Jelen A, McCrindle BW. Dyslipidemia management in overweight or obese adolescents: A mixed-methods clinical trial of motivational interviewing. SAGE Open Med. 2017;5:2050312117707152. https://doi.org/10.1177/2050312117707152.

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This study was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, and funded by the Ministry of Health & Welfare, Republic of Korea (grant number HI16C0455). The funding organization did not have any role in the design of the study, analysis and interpretation of the data, or preparation, review, and approval of the manuscript.

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Correspondence to Young Ho Yun.

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The authors declare that they have no conflicts of interest.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The Institutional Review Board of Seoul National University Hospital approved this study (IRB No. H-1512-131-731).

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Kang, E., Kim, K.H., Cho, Y.M. et al. Effect of Changes in Patient’s Self-management Strategies on Clinical Outcomes: Evidence from a Cohort Study of Patients with Diabetes, Hypertension, and Hyperlipidemia. Int.J. Behav. Med. 28, 479–487 (2021). https://doi.org/10.1007/s12529-020-09937-x

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