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Evaluation of the internal and external responsiveness of Short Form-12 Health Survey version 2 (SF-12v2) in patients with type 2 diabetes mellitus

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Abstract

Purpose

The evidence on the responsiveness of the Short Form-12 Health Survey version 2 (SF-12v2) in patients with type 2 diabetes mellitus (T2DM) is limited. The aim of this study was to examine both the internal and external responsiveness of the SF-12 measures in Chinese patients with T2DM.

Methods

A prospective longitudinal observational study was conducted on 1443 T2DM patients managed in public primary care clinics between 2012 and 2013. These patients were surveyed at baseline and at 12 months using SF-12v2. The internal responsiveness was evaluated by linear mixed effect models. Meanwhile, the external responsiveness was tested by multiple linear regression models and receiver operating characteristic (ROC) curve analysis.

Results

The internal responsiveness of the SF-12v2 to detect negative change was satisfactory among T2DM patients in worsened group, but only the general health domain of SF-12v2 could detect positive change among T2DM patients with improved group. For external responsiveness, the SF-12v2 detected a significant difference-in-difference between patients with worsened and stable/improved group, but not between patients with stable and improved group. The areas under the ROC curve for all domains and summary scales of the SF-12v2 were not statistically different from 0.7.

Conclusion

This study showed that the responsiveness of SF-12v2 might not achieve the standard. Despite the wide use of the SF-12v2, we would like to urge that both clinicians and researchers should use it with caution in longitudinal study.

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References

  1. International Diabetes Federation. (2015). IDF diabetes Atlas (7th ed.). Brussels: International Diabetes Federation.

    Google Scholar 

  2. Zimmet, P., Alberti, K., & Shaw, J. (2001). Global and societal implications of the diabetes epidemic. Nature, 414(6865), 782–787.

    Article  PubMed  CAS  Google Scholar 

  3. Rubin, R. R., & Peyrot, M. (1999). Quality of life and diabetes. Diabetes/Metabolism Research and Reviews, 15(3), 205–218.

    Article  PubMed  CAS  Google Scholar 

  4. Redekop, W. K., Koopmanschap, M. A., Stolk, R. P., Rutten, G. E., Wolffenbuttel, B. H., & Niessen, L. W. (2002). Health-related quality of life and treatment satisfaction in Dutch patients with type 2 diabetes. Diabetes Care, 25(3), 458–463.

    Article  PubMed  Google Scholar 

  5. Zhang, X., Norris, S. L., Chowdhury, F. M., Gregg, E. W., & Zhang, P. (2007). The effects of interventions on health-related quality of life among persons with diabetes: A systematic review. Medical Care, 45(9), 820–834.

    Article  PubMed  Google Scholar 

  6. Nair, R., & Kachan, P. (2017). Outcome tools for diabetes-specific quality of life. Canadian Family Physician, 63(6), e310–e315.

    PubMed  PubMed Central  Google Scholar 

  7. Lam, C. L., Eileen, Y., & Gandek, B. (2005). Is the standard SF-12 health survey valid and equivalent for a Chinese population? Quality of Life Research, 14(2), 539–547.

    Article  PubMed  Google Scholar 

  8. Amir, M., Lewin-Epstein, N., Becker, G., & Buskila, D. (2002). Psychometric properties of the SF-12 (Hebrew version) in a primary care population in Israel. Medical Care, 40(10), 918–928.

    Article  PubMed  Google Scholar 

  9. Gandhi, S. K., Salmon, J. W., Zhao, S. Z., Lambert, B. L., Gore, P. R., & Conrad, K. (2001). Psychometric evaluation of the 12-item short-form health survey (SF-12) in osteoarthritis and rheumatoid arthritis clinical trials. Clinical Therapeutics, 23(7), 1080–1098.

    Article  PubMed  CAS  Google Scholar 

  10. Choi, E. P., Lam, C. L., & Chin, W.-Y. (2014). The health-related quality of life of Chinese patients with lower urinary tract symptoms in primary care. Quality of Life Research, 23(10), 2723–2733.

    Article  PubMed  Google Scholar 

  11. Revicki, D. A., Osoba, D., Fairclough, D., Barofsky, I., Berzon, R., Leidy, N. K., & Rothman, M. (2000). Recommendations on health-related quality of life research to support labeling and promotional claims in the United States. Quality of Life Research, 9(8), 887–900.

    Article  PubMed  CAS  Google Scholar 

  12. Wan, E. Y. F., Fung, C. S. C., Wong, C. K. H., Choi, E. P. H., Jiao, F. F., Chan, A. K. C., Chan, K. H. Y., & Lam, C. L. K. (2017). Effectiveness of a multidisciplinary risk assessment and management programme—diabetes mellitus (RAMP-DM) on patient-reported outcomes. Endocrine, 55(2), 416–426.

    Article  PubMed  CAS  Google Scholar 

  13. Ell, K., Katon, W., Xie, B., Lee, P.-J., Kapetanovic, S., Guterman, J., & Chou, C.-P. (2010). Collaborative care management of major depression among low-income, predominantly Hispanic subjects with diabetes: A randomized controlled trial. Diabetes Care, 33(4), 706–713.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ciccone, M. M., Aquilino, A., Cortese, F., Scicchitano, P., Sassara, M., Mola, E., Rollo, R., Caldarola, P., Giorgino, F., & Pomo, V. (2010). Feasibility and effectiveness of a disease and care management model in the primary health care system for patients with heart failure and diabetes (Project Leonardo). Vascular Health and Risk Management, 6, 297.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Testa, M. A., & Nackley, J. F. (1994). Methods for quality-of-life studies. Annual Review of Public Health, 15, 535–559.

    Article  PubMed  CAS  Google Scholar 

  16. Revicki, D. A., Cella, D., Hays, R. D., Sloan, J. A., Lenderking, W. R., & Aaronson, N. K. (2006). Responsiveness and minimal important differences for patient reported outcomes. Health and Quality of Life Outcomes, 4, 70.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Husted, J. A., Cook, R. J., Farewell, V. T., & Gladman, D. D. (2000). Methods for assessing responsiveness: A critical review and recommendations. Journal of Clinical Epidemiology, 53(5), 459–468.

    Article  PubMed  CAS  Google Scholar 

  18. Fung, C. S., Chin, W. Y., Dai, D. S., Kwok, R. L., Tsui, E. L., Wan, Y. F., Wong, W., Wong, C. K., Fong, D. Y., & Lam, C. L. (2012). Evaluation of the quality of care of a multi-disciplinary risk factor assessment and management programme (RAMP) for diabetic patients. BMC Family Practice, 13(1), 116.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lam, C. L. K., Wong, C. K. H., Lam, E. T. P., & Lo, Y. Y. (2010). Population norm of Chinese (HK) SF-12 Health Survey_Version 2 of Chinese adults in Hong Kong. Hong Kong Practitioner, 32, 77–86.

    Google Scholar 

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

    Article  PubMed  Google Scholar 

  21. Choi, E. P., Wong, C. K., Tsu, J. H., Chin, W., Kung, K., Wong, C. K., & Yiu, M. (2016). Health-related quality of life of Chinese patients with prostate cancer in comparison to general population and other cancer populations. Supportive Care in Cancer, 24(4), 1849–1856.

    Article  PubMed  Google Scholar 

  22. Kamper, S. J., Maher, C. G., & Mackay, G. (2009). Global rating of change scales: A review of strengths and weaknesses and considerations for design. Journal of Manual & Manipulative Therapy, 17(3), 163–170.

    Article  Google Scholar 

  23. Beaton, D. E., Hogg-Johnson, S., & Bombardier, C. (1997). Evaluating changes in health status: Reliability and responsiveness of five generic health status measures in workers with musculoskeletal disorders. Journal of Clinical Epidemiology, 50(1), 79–93.

    Article  PubMed  CAS  Google Scholar 

  24. Juniper, E. F., Guyatt, G. H., Willan, A., & Griffith, L. E. (1994). Determining a minimal important change in a disease-specific Quality of Life Questionnaire. Journal of Clinical Epidemiology, 47(1), 81–87.

    Article  PubMed  CAS  Google Scholar 

  25. Wright, J. G., & Young, N. L. (1997). A comparison of different indices of responsiveness. Journal of Clinical Epidemiology, 50(3), 239–246.

    Article  PubMed  CAS  Google Scholar 

  26. Stavem, K., Frøland, S. S., & Hellum, K. B. (2005). Comparison of preference-based utilities of the 15D, EQ-5D and SF-6D in patients with HIV/AIDS. Quality of Life Research, 14(4), 971–980.

    Article  PubMed  Google Scholar 

  27. Marra, C. A., Rashidi, A. A., Guh, D., Kopec, J. A., Abrahamowicz, M., Esdaile, J. M., Brazier, J. E., Fortin, P. R., & Anis, A. H. (2005). Are indirect utility measures reliable and responsive in rheumatoid arthritis patients? Quality of Life Research, 14(5), 1333–1344.

    Article  PubMed  Google Scholar 

  28. Gerhards, S. A., Huibers, M. J., Theunissen, K. A., de Graaf, L. E., Widdershoven, G. A., & Evers, S. M. (2011). The responsiveness of quality of life utilities to change in depression: A comparison of instruments (SF-6D, EQ-5D, and DFD). Value in Health, 14(5), 732–739.

    Article  PubMed  Google Scholar 

  29. Choi, E. P., Chin, W. Y., Lam, C. L., & Wan, E. Y. (2015). The responsiveness of the International Prostate Symptom Score, Incontinence Impact Questionnaire-7 and Depression, Anxiety and Stress Scale-21 in patients with lower urinary tract symptoms. Journal of Advanced Nursing, 71(8), 1857–1870.

    Article  PubMed  Google Scholar 

  30. Choi, E. P., Wong, C. K., Wan, E. Y., Tsu, J. H., Chin, W., Kung, K., & Yiu, M. (2016). The internal and external responsiveness of Functional Assessment of Cancer Therapy-Prostate (FACT-P) and Short Form-12 Health Survey version 2 (SF-12 v2) in patients with prostate cancer. Quality of Life Research, 25(9), 2379–2393.

    Article  PubMed  Google Scholar 

  31. Wong, C. K., Lam, C. L., Law, W.-L., Poon, J. T., Kwong, D. L., Tsang, J., & Wan, Y.-F. (2013). Condition-specific measure was more responsive than generic measure in colorectal cancer: All but social domains. Journal of Clinical Epidemiology, 66(5), 557–565.

    Article  PubMed  Google Scholar 

  32. Revicki, D., Hays, R. D., Cella, D., & Sloan, J. (2008). Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. Journal of Clinical Epidemiology, 61(2), 102–109.

    Article  PubMed  Google Scholar 

  33. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  34. Guyatt, G., Walter, S., & Norman, G. (1987). Measuring change over time: Assessing the usefulness of evaluative instruments. Journal of Chronic Diseases, 40(2), 171–178.

    Article  PubMed  CAS  Google Scholar 

  35. Liang, M. H., Fossel, A. H., & Larson, M. G. (1990). Comparisons of five health status instruments for orthopedic evaluation. Medical Care, 28(7), 632–642.

    Article  PubMed  CAS  Google Scholar 

  36. Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82(397), 171–185.

    Article  Google Scholar 

  37. Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42.

    Article  PubMed  Google Scholar 

  38. Lam, C., Wong, C., Lam, E., Lo, Y., & Huang, W. (2010). Population norm of Chinese (HK) SF-12 health survey-version 2 of Chinese adults in Hong Kong. Hong Kong Practitioner, 32(2), 77–86.

    Google Scholar 

  39. Lewis-Beck, M., Bryman, A. E., & Liao, T. F. (2003). The Sage encyclopedia of social science research methods. Thousand Oaks: Sage Publications.

    Google Scholar 

  40. Chin, W. Y., Choi, E. P., Chan, K. T., & Wong, C. K. (2015). The psychometric properties of the Center for Epidemiologic Studies Depression Scale in Chinese primary care patients: Factor structure, construct validity, reliability, sensitivity and responsiveness. PLoS ONE, 10(8), e0135131.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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Acknowledgements

The authors wish to acknowledge the contributions of the Risk Assessment Management Program for Diabetes Mellitus (RAMP-DM) program team at the Hospital Authority head office, and the Chiefs of Service and RAMP-DM program coordinators in each cluster, and the Statistics and Workforce Planning Department at the Hong Kong Hospital Authority.

Funding

This study was funded by the Health Services Research Fund, Food and Health Bureau, HKSAR Commissioned Research on Enhanced Primary Care Study (Ref. No. EPC-HKU-2). No funding organization had any role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation of the manuscript. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

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Correspondence to Eric Yuk Fai Wan.

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The authors declare that they have no conflict of interest.

Ethical approval

Ethics approval of this study was granted by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West (UW 10-369), Hong Kong East (HKEC-2010-093), Kowloon East and Kowloon Central (KC/KE-10-0210/ER-3), Kowloon West (KW/EX/10-317 (34-04)), New Territories East (CRE-2010.543), and New Territories West clusters (NTWC/CREC/1091/12). 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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Written informed consent was obtained from all individual participants included in the study.

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Wan, E.Y.F., Choi, E.P.H., Yu, E.Y.T. et al. Evaluation of the internal and external responsiveness of Short Form-12 Health Survey version 2 (SF-12v2) in patients with type 2 diabetes mellitus. Qual Life Res 27, 2459–2469 (2018). https://doi.org/10.1007/s11136-018-1908-2

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