Display options
Cite
Chang B, Yang Y, Buitrago Leon GA, et al. Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method. Healthcare (Basel). 2021;9(11)doi: 10.3390/healthcare9111456.
Chang, B., Yang, Y., Buitrago Leon, G. A., & Lu, Y. (2021). Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method. Healthcare (Basel, Switzerland), 9(11), . https://doi.org/10.3390/healthcare9111456
Chang, Beiquan, et al. "Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method." Healthcare (Basel, Switzerland) vol. 9,11 (2021). doi: https://doi.org/10.3390/healthcare9111456
Chang B, Yang Y, Buitrago Leon GA, Lu Y. Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method. Healthcare (Basel). 2021 Oct 27;9(11). doi: 10.3390/healthcare9111456. PMID: 34828502; PMCID: PMC8622114.
Copy Download .nbib Format: NLM
Share it on

Healthcare (Basel). 2021 Oct 27;9(11). doi: 10.3390/healthcare9111456.

Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method.

Healthcare (Basel, Switzerland)

Beiquan Chang, Yansui Yang, Guillermo Andres Buitrago Leon, Yuzhong Lu

Affiliations

  1. School of Public Policy and Management, Tsinghua University, Beijing 100084, China.
  2. Shenxiang School of Business, Sanda University, Shanghai 201209, China.
  3. Glorious Sun School of Business, Donghua University, Shanghai 200051, China.

PMID: 34828502 PMCID: PMC8622114 DOI: 10.3390/healthcare9111456

Abstract

[Background]: Improvement of synergies in medical and nursing services can help governments to optimize the allocation of medical resources; however, an appropriate evaluation method is critical for a suitable decision process in this regard. [Method]: To assess the medical and nursing service combination (MNSC) at a regional level, this study applied a five-dimension evaluation index composed of 28 basic response areas related to the MNSC development status in China, determining its respective weight through the Delphi and entropy methods. [Result]: This empirical exercise analyzed the MNSC supply system by interviewing nine heads of medical and nursing institutions and eleven healthcare-related government personnel during August of 2020 in Xinxiang City, Henan province, P.R China. Results showed: (1) public satisfaction with the fees charged by Medical and Nursing service Institutions (MNSI); (2) Medicare and supply services' policy publicity; (3) the external financing situation of MNSI; (4) the medical staff's professional quality; (5) the medical facilities and supply of MNSI; and (6) that the recognition level of the development plan of MNSI scored the highest effect on the synergy of MNSC supply among the assessed factors. [Conclusion]: These results showed that an evaluation based on the Delphi and entropy methods can effectively integrate the opinions of experts and related institutions to evaluate synergies on the medical and nursing service supply.

Keywords: collaborative supply; evaluation of synergistic effect; index construction; medical and nursing care combination; pension services

References

  1. Bull World Health Organ. 2013 Nov 1;91(11):847-52 - PubMed
  2. J Theor Biol. 2017 Dec 7;434:99-103 - PubMed
  3. Int J Ment Health Syst. 2016 Jul 22;10:49 - PubMed
  4. Birth Defects Res C Embryo Today. 2011 Mar;93(1):56-66 - PubMed
  5. Int J Environ Res Public Health. 2020 Jul 28;17(15): - PubMed
  6. Int J Integr Care. 2018 Jan 31;18(1):11 - PubMed
  7. BMJ Open. 2018 Apr 7;8(4):e021194 - PubMed
  8. Fam Syst Health. 2010 Dec;28(4):308-21 - PubMed
  9. Telemed J E Health. 2016 Jun;22(6):489-96 - PubMed
  10. Int J Integr Care. 2021 Apr 19;21(2):5 - PubMed
  11. J Aging Soc Policy. 2008;20(1):119-36 - PubMed
  12. BMC Health Serv Res. 2020 Aug 8;20(1):727 - PubMed
  13. J Pain Symptom Manage. 2016 Sep;52(3):437-45 - PubMed
  14. Int J Integr Care. 2020 Mar 16;20(1):9 - PubMed
  15. Healthc Q. 2009;13 Spec No:16-23 - PubMed
  16. Biosci Trends. 2019 Sep 17;13(4):287-291 - PubMed
  17. Prev Vet Med. 2013 Mar 1;108(4):313-20 - PubMed
  18. Int J Integr Care. 2018 Nov 15;18(4):9 - PubMed
  19. Arch Gerontol Geriatr. 2019 Nov - Dec;85:103934 - PubMed
  20. J Nutr Health Aging. 2021;25(6):720-723 - PubMed
  21. Curr Opin Psychiatry. 2011 Nov;24(6):562-8 - PubMed
  22. PLoS One. 2019 Sep 19;14(9):e0222593 - PubMed
  23. BMC Health Serv Res. 2018 May 10;18(1):350 - PubMed
  24. Int J Integr Care. 2018 Aug 08;18(3):10 - PubMed
  25. J Am Med Dir Assoc. 2019 Aug;20(8):942-946 - PubMed
  26. Int J Integr Care. 2013 Mar 22;13:e011 - PubMed
  27. BMJ Open. 2019 Dec 18;9(12):e027920 - PubMed

Publication Types