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Effectiveness of a multidisciplinary risk assessment and management programme—diabetes mellitus (RAMP-DM) on patient-reported outcomes

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Abstract

Little is known about how the patient-reported outcomes is influenced by multidisciplinary-risk-assessment-and-management-programme for patients with diabetes mellitus (RAMP-DM). This paper aims to evaluate the effectiveness of RAMP-DM on patient-reported outcomes. This was a prospective longitudinal study on 1039 diabetes mellitus patients (714/325 RAMP-DM/non-RAMP-DM) managed in primary care setting. 536 and 402 RAMP-DM participants, and 237 and 187 non-RAMP-DM participants were followed up at 12 and 24 months with completed survey, respectively. Patient-reported outcomes included health-related quality of life, change in global health condition and patient enablement measured by Short Form-12 Health Survey version-2 (SF-12v2), Global Rating Scale, Patient Enablement Instrument respectively. The effects of RAMP-DM on patient-reported outcomes were evaluated by mixed effect models. Subgroup analysis was performed by stratifying haemoglobin A1c (HbA1c) (optimal HbA1c < 7 % and suboptimal HbA1c ≥ 7 %). RAMP-DM with suboptimal HbA1c was associated with greater improvement in SF-12v2 physical component summary score at 12-month (coefficient:3.80; P-value < 0.05) and 24-month (coefficient:3.82;P-value < 0.05), more likely to feel more enabled at 12-month (odds ratio: 2.57; P-value < 0.05), and have improved in GRS at 24-month (odds ratio:4.05; P-value < 0.05) compared to non-RAMP-DM participants. However, there was no significant difference in patient-reported outcomes between RAMP-DM and non-RAMP-DM participants with optimal HbA1c. Participation in RAMP-DM is effective in improving physical component of HRQOL, Global Rating Scale and patient enablement among diabetes mellitus patients with suboptimal HbA1c, but not in those with optimal HbA1c. Patients with sub-optimal diabetes mellitus control should be the priority target population for RAMP-DM. This observational study design may have potential bias in the characteristics between groups, and randomized clinical trial is needed to confirm the results.

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References

  1. W.H. Organization: Top 10 causes of death: fact sheet no. 310: WHO 2011. Ref Type: Report L U (2011)

  2. American Diabetes Association: Standards of Medical Care in Diabetes -2015. Diabetes Care 38 (2015)

  3. National Collaborating Centre for Chronic Conditions: Type 2 diabetes National clinical guideline for management in primary and secondary care (update). In. Royal College of physicians, (2008)

  4. Canadian Diabetes Association: Clinical Practice Guidelines for the Prevention and Management of Diabetes in Canada. (2008)

  5. C.S. Fung, W.Y. Chin, D.S. Dai, R.L. Kwok, E.L. Tsui, Y.F. Wan, W. Wong, C.K. Wong, D.Y. Fong, C.L. Lam, Evaluation of the quality of care of a multi-disciplinary risk factor assessment and management programme (RAMP) for diabetic patients. BMC Fam. Pract. 13, 116 (2012). doi:10.1186/1471-2296-13-116

    Article  PubMed  PubMed Central  Google Scholar 

  6. F.F. Jiao, C.S. Fung, C.K. Wong, Y.F. Wan, D. Dai, R. Kwok, C.L. Lam, Effects of the Multidisciplinary Risk Assessment and Management Program for Patients with Diabetes Mellitus (RAMP-DM) on biomedical outcomes, observed cardiovascular events and cardiovascular risks in primary care: a longitudinal comparative study. Cardiovasc. Diabetol. 13(1), 127 (2014)

    Article  PubMed  PubMed Central  Google Scholar 

  7. F.F. Jiao, C.S. Fung, Y.F. Wan, S.M. McGhee, C.K. Wong, D. Dai, R. Kwok, C.L. Lam, Long-term effects of the multidisciplinary risk assessment and management program for patients with diabetes mellitus (RAMP-DM): a population-based cohort study. Cardiovasc. Diabetol. 14(1), 105 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  8. R.M. Kaplan, J.W. Bush, Health-related quality of life measurement for evaluation research and policy analysis. Health Psychol. 1(1), 61 (1982)

    Article  Google Scholar 

  9. R.R. Rubin, M. Peyrot, Quality of life and diabetes. Diabetes. Metab. Res. Rev. 15(3), 205–218 (1999). doi:10.1002/(sici)1520-7560(199905/06)15:3<205::aid-dmrr29>3.0.co;2-o

    Article  CAS  PubMed  Google Scholar 

  10. R.E. Glasglow, D.J. Toobert, C.D. Gillette, Psychosocial barriers to diabetes self-management and quality of life. Diabetes Spectr. 14(1 L2), 33–41 (2001)

    Article  Google Scholar 

  11. M. Peyrot, R.R. Rubin, T. Lauritzen, F.J. Snoek, D.R. Matthews, S.E. Skovlund, Psychosocial problems and barriers to improved diabetes management: results of the Cross-National Diabetes Attitudes, Wishes and Needs (DAWN) Study. Diabetic Med. 22(10), 1379–1385 (2005). doi:10.1111/j.1464-5491.2005.01644.x

    Article  CAS  PubMed  Google Scholar 

  12. C.F. Snyder, N.K. Aaronson, A.K. Choucair, T.E. Elliott, J. Greenhalgh, M.Y. Halyard, R. Hess, D.M. Miller, B.B. Reeve, M. Santana, Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations. Qual. Life Res. 21(8), 1305–1314 (2012)

    Article  PubMed  Google Scholar 

  13. UK Department of Health: Equity and excellence: liberating the NHS. In. (2010)

  14. S.L. Maddigan, S.R. Majumdar, L.M. Guirguis, R.Z. Lewanczuk, T. Lee, E.L. Toth, J.A. Johnson, Improvements in patient-reported outcomes associated with an intervention to enhance quality of care for rural patients with type 2 diabetes results of a controlled trial. Diabetes Care 27(6), 1306–1312 (2004)

    Article  PubMed  Google Scholar 

  15. T.M. Rasekaba, M. Graco, C. Risteski, A. Jasper, D.J. Berlowitz, G. Hawthorne, A. Hutchinson, Impact of a diabetes disease management program on diabetes control and patient quality of life. Popul. Health Manag. 15(1), 12–19 (2012)

    Article  PubMed  Google Scholar 

  16. C.L.K. Lam, C.K.H. Wong, E.T.P. Lam, Y.Y. Lo, Population Norm of Chinese (HK) SF-12 Health Survey_Version 2 of Chinese Adults in Hong Kong. HK Pract 32, 77–86 (2010)

    Google Scholar 

  17. C.L.K. Lam, E.Y. Tse, B. Gandek, Is the standard SF-12 health survey valid and equivalent for a Chinese population? Qual. Life Res. 14(2), 539–547 (2005)

    Article  PubMed  Google Scholar 

  18. C.K. Wong, W.C. Wong, E.Y. Wan, W.H. Wong, F.W. Chan, C.L. Lam, Increased number of structured diabetes education attendance was not associated with the improvement in patient-reported health-related quality of life: results from Patient Empowerment Programme (PEP). Health Qual. Life Outcomes 13(1), 126 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  19. Carlos K. H. Wong, Cindy L. K. Lam, Eric Y. F. Wan, Anca K. C. Chan, C. H. Pak, Frank W. K. Chan, William C. W. Wong: Evaluation of patient-reported outcomes data in structured diabetes education intervention: 2-year follow-up data of patient empowerment programme. Endocrine (2016) (In press). doi:10.1007/s12020-016-1015-5

  20. G.S. Magwood, J. Zapka, C. Jenkins, A review of systematic reviews evaluating diabetes interventions focus on quality of life and disparities. Diabetes Educ. 34(2), 242–265 (2008)

    Article  PubMed  PubMed Central  Google Scholar 

  21. B. Leung: Traditional Chinese Medicine: The Human Dimension. Routledge, (2015)

  22. R. Jaeschke, J. Singer, G.H. Guyatt, Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin. Trials 10(4), 407–415 (1989)

    Article  CAS  PubMed  Google Scholar 

  23. R.M. Rosser, Recent studies using a global approach to measuring illness. Med. Care 14(Suppl), 138–147 (1976)

    CAS  PubMed  Google Scholar 

  24. M. McAllister, G. Dunn, K. Payne, L. Davies, C. Todd, Patient empowerment: the need to consider it as a measurable patient-reported outcome for chronic conditions. BMC. Health Serv. Res. 12(1), 157 (2012)

    Article  Google Scholar 

  25. J. Howie, D. Heaney, M. Maxwell, J. Walker, A comparison of a Patient Enablement Instrument (PEI) against two established satisfaction scales as an outcome measure of primary care consultations. Fam. Pract. 15(2), 165–171 (1998). doi:10.1093/fampra/15.2.165

    Article  CAS  PubMed  Google Scholar 

  26. C.L. Lam, N.Y. Yuen, S.W. Mercer, W. Wong, A pilot study on the validity and reliability of the Patient Enablement Instrument (PEI) in a Chinese population. Fam. Pract. 27(4), 395–403 (2010). doi:10.1093/fampra/cmq021

    Article  PubMed  Google Scholar 

  27. S.W. Mercer, B. Fitzpatrick, G. Gourlay, G. Vojt, A. McConnachie, G.C. Watt, More time for complex consultations in a high-deprivation practice is associated with increased patient enablement. Br. J. Gen. Pract. 57(545), 960–966 (2007)

    Article  PubMed  PubMed Central  Google Scholar 

  28. J. Haughney, P. Cotton, J.-P. Rosen, K. Morrison, D. Price, The use of a modification of the Patient Enablement Instrument in asthma. Prim. Care Respir. J. 16(2), 89–92 (2007)

    Article  PubMed  Google Scholar 

  29. L. Steed, D. Cooke, S. Newman, A systematic review of psychosocial outcomes following education, self-management and psychological interventions in diabetes mellitus. Patient Educ. Couns. 51(1), 5–15 (2003)

    Article  PubMed  Google Scholar 

  30. K.M. Knight, T. Dornan, C. Bundy, The diabetes educator: trying hard, but must concentrate more on behaviour. Diabetic Med. 23(5), 485–501 (2006). doi:10.1111/j.1464-5491.2005.01802.x

    Article  CAS  PubMed  Google Scholar 

  31. A. Casillas, K. Iglesias, A. Flatz, B. Burnand, I. Peytremann-Bridevaux, No consistent association between processes-of-care and health-related quality of life among patients with diabetes: a missing link? BMJ Open Diabetes Res. care 3(1), e000042 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  32. H.L. Wee, Y.B. Cheung, S.C. Li, K.Y. Fong, J. Thumboo, The impact of diabetes mellitus and other chronic medical conditions on health-related Quality of Life: Is the whole greater than the sum of its parts? Health Qual. Life Outcomes 3(1), 2 (2005)

    Article  PubMed  PubMed Central  Google Scholar 

  33. C.R. Chittleborough, K.L. Baldock, A.W. Taylor, P.J. Phillips, N.W.A.H.S. Team, Health status assessed by the SF-36 along the diabetes continuum in an Australian population. Qual. Life Res. 15(4), 687–694 (2006)

    Article  PubMed  Google Scholar 

  34. U. Sarkar, L. Fisher, D. Schillinger, Is self-efficacy associated with diabetes self-management across race/ethnicity and health literacy? Diabetes Care 29(4), 823–829 (2006)

    Article  PubMed  Google Scholar 

  35. S. Nam, C. Chesla, N.A. Stotts, L. Kroon, S.L. Janson, Barriers to diabetes management: patient and provider factors. Diabetes Res. Clin. Pract. 93(1), 1–9 (2011)

    Article  PubMed  Google Scholar 

  36. F.S. Mair, C.R. May, Thinking about the burden of treatment. BMJ 349, g6680 (2014)

    Article  PubMed  Google Scholar 

  37. D.L. Patrick, R.A. Deyo: Generic and disease-specific measures in assessing health status and quality of life. Med. Care. S217–S232 (1989).

  38. J.J. Linmans, W. Viechtbauer, T. Koppenaal, M. Spigt, J.A. Knottnerus, Using electronic medical records analysis to investigate the effectiveness of lifestyle programs in real-world primary care is challenging: a case study in diabetes mellitus. J. Clin. Epidemiol. 65(7), 785–792 (2012)

    Article  PubMed  Google Scholar 

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Acknowledgments

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to acknowledge the contributions of the multidisciplinary risk-stratification based diabetes mellitus management programme team at the Hospital Authority head office, chief of service in primary care and programme coordinator in each cluster and Statistics and Workforce Planning Department at the Hong Kong Hospital Authority.

Funding

This study was funded by the Hong Kong Hospital Authority (Ref. no: 8011014157) and Health Services Research Fund, Food and Health Bureau, HKSAR Commissioned Research on Enhanced Primary Care Study (Ref. no EPC-HKU-2).

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Correspondence to Eric Yuk Fai Wan.

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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.

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

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ClinicalTrials.gov (NCT02034695)

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Wan, E.Y.F., Fung, C.S.C., Wong, C.K.H. et al. Effectiveness of a multidisciplinary risk assessment and management programme—diabetes mellitus (RAMP-DM) on patient-reported outcomes. Endocrine 55, 416–426 (2017). https://doi.org/10.1007/s12020-016-1124-1

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