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A Validation Study of the Rainbow Model of Integrated Care- Measurement Tool for Patients in China Cover

A Validation Study of the Rainbow Model of Integrated Care- Measurement Tool for Patients in China

International Journal of Integrated Care
Volume 21 (2021): Issue 2
By: Xin Wang,  Stephen Birch,  Lijin Chen,  Yixiang Huang and  Pim Valentijn  
Open Access
|Apr 2021
References

References

  1. Slama S, Kim HJ, Roglic G, et al. Care of non-communicable diseases in emergencies. Lancet. 2017 Jan 21; 389(10066): 326–30. DOI: 10.1016/S0140-6736(16)31404-0
    Open DOISearch in Google ScholarBack to article
  2. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015; 386(9995): 743–800. DOI: 10.1016/S0140-6736(15)60692-4
    Open DOISearch in Google ScholarBack to article
  3. Ezeh AC, Bongaarts J, Mberu B. Global population trends and policy options. Lancet. 2012; 380(9837): 142–148. DOI: 10.1016/S0140-6736(12)60696-5
    Open DOISearch in Google ScholarBack to article
  4. WHO global strategy on people-centred and integrated health services. Interim report. Geneva: World Health Organization; 2016. Available from: http://apps.who.int/iris/bitstream/handle/10665/155002/WHO_HIS_SDS_2015.6_eng.pdf?sequence=1 Accessed Aug 3, 2018.
    Search in Google ScholarBack to article
  5. People-centred and integrated health services: an overview of the evidence: interim report. Geneva: World Health Organization 2015. Available from: http://apps.who.int/iris/bitstream/handle/10665/155004/WHO_HIS_SDS_2015.7_eng.pdf?sequence=1 Accessed Aug 3, 2018].
    Search in Google ScholarBack to article
  6. Ye C, Browne G, Grdisa VS, et al. Measuring the degree of integration for an integrated service network. Int J Integr Care. 2012: (9)18; 12(5): e137. DOI: 10.5334/ijic.835
    Open DOISearch in Google ScholarBack to article
  7. European Observatory on Health Systems and Policies. Health systems and the financial crisis. London: Eurohealth; 2012.
    Search in Google ScholarBack to article
  8. China Joint Study Partnership. Deepening health reform in China: building high-quality and value-based service delivery–policy summary. Washington, DC: World Bank; 2016. Available from: http://www.gov.cn/xinwen/2017-08/03/content_5215805.htm Accessed June 3, 2020.
    Search in Google ScholarBack to article
  9. General Office of the State Council. Guiding of Promoting the Construction and Development of Medical Consortia. General Office of the State Council; 2017. No.32 Available from: http://www.gov.cn/zhengce/content/2017-04/26/content_5189071.htm. Accessed May 1, 2017.
    Search in Google ScholarBack to article
  10. Yuan H, Yang L. The theoretical and practical research and effect evaluation at home and abroad: a review of integrated care. Chinese Journal of Evidence-based Medicine. May 2020; 20(5). [in Chinese]
    Search in Google ScholarBack to article
  11. Bautista MA, Nurjono M, Lim YW, Dessers E, Vrijhoef HJ. Instruments Measuring Integrated Care: A Systematic Review of Measurement Properties. Milbank Q. 2016; 94: 862–917. DOI: 10.1111/1468-0009.12233
    Open DOISearch in Google ScholarBack to article
  12. Valentijn PP, Schepman SM, Opheij W, et al. Understanding integrated care: a comprehensive conceptual framework based on the integrative functions of primary care. Int J Integr Care. 2013; 3. DOI: 10.5334/ijic.886
    Open DOISearch in Google ScholarBack to article
  13. Suter E, Oelke ND, da Silva Lima MAD, et al. Indicators and measurement tools for health systems integration: A knowledge synthesis. Int J Integr Care. 2017; 17(6): 4, 1–17. DOI: 10.5334/ijic.3931
    Open DOISearch in Google ScholarBack to article
  14. Strandberg-Larsen M, Krasnik A. Measurement of integrated healthcare delivery: a systematic review of methods and future research directions. Int J Integr Care. 2009; 9. DOI: 10.5334/ijic.305
    Open DOISearch in Google ScholarBack to article
  15. Fares J, Chung KSK, Passey M, Longman J, Valentijn PP. Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia. BMJ Open. 2018; 9: e027920. DOI: 10.1136/bmjopen-2018-027920
    Open DOISearch in Google ScholarBack to article
  16. Valentijn PP. Rainbow of chaos: A study into the theory and practice of integrated primary care [PhD Thesis]. Tilburg University, The Netherlands; 2015.
    Search in Google ScholarBack to article
  17. Boesveld IC, Valentijn PP, Hitzert M, et al. An Approach to measuring Integrated Care within a Maternity Care System: Experiences from the Maternity Care Network Study and the Dutch Birth Centre Study. Int J Integr Care. 2017; 17(2): 6. DOI: 10.5334/ijic.2522
    Open DOISearch in Google ScholarBack to article
  18. Angus L, Valentijn PP. From micro to macro: assessing implementation of integrated care in Australia. Aust J Prim Health. 2018; 24: 59–65. DOI: 10.1071/PY17024
    Open DOISearch in Google ScholarBack to article
  19. Nurjono M, Valentijn PP, Bautista MAC, et al. A Prospective Validation Study of a Rainbow Model of Integrated Care Measurement Tool in Singapore. Int J Integr Care. 2016; 16(1): 1–6. DOI: 10.5334/ijic.2021
    Open DOISearch in Google ScholarBack to article
  20. Valentijn PP, Pereira F, Sterner CW, Vrijhoef HJM, Ruwaard D, Hegbrant J, et al. Validation of the Rainbow Model of Integrated Care Measurement Tool in renal care for patient and care providers. PLoS One. 14(9): e0222593. DOI: 10.1371/journal.pone.0222593.
    Open DOISearch in Google ScholarBack to article
  21. Huang Y, Zhu P, Chen L, et al. Validation of the care providers version of the Rainbow Model of Integrated Care-measurement tool in Chinese primary care systems. BMC Health Serv Res. 2020; 20: 727. DOI: 10.1186/s12913-020-05562-2
    Open DOISearch in Google ScholarBack to article
  22. Valentijn PP, Pereira F, Sterner CW, et al. Validation of the Rainbow Model of Integrated Care Measurement Tools (RMIC-MTs) in renal care for patient and care providers. PLoS ONE. 2019; 14(9): e0222593. DOI: 10.1371/journal.pone.0222593
    Open DOISearch in Google ScholarBack to article
  23. Valentijn PP. Rainbow Model of Integrated Care Measurement Tools (RMIC-MT’s) for Patientand Care providers. Essenburgh Research & Consultancy 2019. Available from https://www.essenburgh.com/the-rainbow-model-measurements-tools-for-integrated-care. Accessed May 1, 2020. DOI: 10.1371/journal.pone.0222593
    Open DOISearch in Google ScholarBack to article
  24. Brislin RW. The wording and translation of research instruments. In: Lonner WL, Berry JW, editors. Field Methods in Cross-Cultural Research. Newbury Park, CA: Sage Publications; 1986: 137–164.
    Search in Google ScholarBack to article
  25. National Health Commission of the People’s Republic of China. National standards for Basic Public Health Services (2009 Edition). [2009] No.98. http://www.nhc.gov.cn/cms-search/xxgk/getManuscriptXxgk.htm?id=43183
    Search in Google ScholarBack to article
  26. Costello AB, Osborne JW. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical assessment, research & evaluation. 2005; 10: 1–9. DOI: 10.7275/jyj1-4868
    Open DOISearch in Google ScholarBack to article
  27. Kim H-Y. Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics. 2013 Feb; 38(1): 52–54. DOI: 10.5395/rde.2013.38.1.52
    Open DOISearch in Google ScholarBack to article
  28. Zwart DLM, Langelaan M, van de Vooren RC, et al. Patient safety culture measurement in general practice. Clinimetric properties of “SCOPE”. BMC Fam Pract. 2011; 12: 117. DOI: 10.1186/1471-2296-12-117
    Open DOISearch in Google ScholarBack to article
  29. Cerny BA, Kaiser HF. A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivar Behav Res. 1977; 12: 43–47. DOI: 10.1207/s15327906mbr1201_3
    Open DOISearch in Google ScholarBack to article
  30. Vandenberg RJ, Lance CE. A review and synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research. Organ Res Methods. 2000; 1. DOI: 10.1177/109442810031002
    Open DOISearch in Google ScholarBack to article
  31. Brown JD. Principal components analysis and exploratory factor analysis-definitions, differences, and choices. JALT Testing & Evaluation SIG Newsletter. January 2009; 13(1): 26–30. Accessed June 3, 2020.
    Search in Google ScholarBack to article
  32. Brown JD. Choosing the right type of rotation in PCA and EFA. JALT Testing & Evaluation SIG Newsletter. November 2009; 13(3): 20–25.
    Search in Google ScholarBack to article
  33. Rafaela BD, Roberta CM, Katia MP, Maria CB, Neusa MC. Factor analysis of an instrument to measure the impact of disease on daily life. Rev Bras Enferm. May–Aug 2016; 69(4): 697–704. DOI: 10.1590/0034-7167.2016690412i
    Open DOISearch in Google ScholarBack to article
  34. Clark RA, Pua Y-H, et al. Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control. Gait Posture. 2015; 42(2): 210–213. DOI: 10.1016/j.gaitpost.2015.03.005
    Open DOISearch in Google ScholarBack to article
  35. Reuther S, Dichter MN, Bartholomeyczik S, et al. Construct validity and internal consistency of the neuropsychiatric inventory – nursing home (NPI-NH) in German nursing homes. Int Psychogeriatr. 2016; 28(6): 1017–1027. DOI: 10.1017/S1041610215002343
    Open DOISearch in Google ScholarBack to article
  36. Streiner DL, Norman GR, Cairney J. Health Measurement Scales: A practical guide to their development and use (fifth edition). Oxford University Press; 2015.
    Search in Google ScholarBack to article
  37. Ferguson E, Cox T. Exploratory factor analysis: A users’ guide. Int J Select Assess. 1993; 4.
    Search in Google ScholarBack to article
  38. Valentijn PP, Pereira FA, Ruospo M, et al. Person Centered Integrated Care for Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Clin J Am Soc Nephrol. 2018. DOI: 10.2215/CJN.09960917
    Open DOISearch in Google ScholarBack to article
  39. Wang X, Huang Y, Birch S. People engagement in health-care system transition in China. Lancet public health. Septemer 2019; 4. DOI: 10.1016/S2468-2667(19)30106-9
    Open DOISearch in Google ScholarBack to article
  40. Yip W, Hsiao W. Harnessing the privatisation of China’s fragmented healthcare delivery. Lancet. 2014 Aug 30; 384(9945): 805–18. DOI: 10.1016/S0140-6736(14)61120-X
    Open DOISearch in Google ScholarBack to article
  41. Coulter A, Ellins J. Effectiveness of strategies for informing, educating, and involving patients. BMJ. 2007; 335: 24–27. DOI: 10.1136/bmj.39246.581169.80
    Open DOISearch in Google ScholarBack to article
DOI: https://doi.org/10.5334/ijic.5603 | Journal eISSN: 1568-4156
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Language: English
Submitted on: Aug 12, 2020
Accepted on: Feb 23, 2021
Published on: Apr 19, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
integrated care,
measurement tool,
patients with diabetes,
primary care

© 2021 Xin Wang, Stephen Birch, Lijin Chen, Yixiang Huang, Pim Valentijn, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 21 (2021): Issue 2
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