Patient safety culture and hospital performance: Patient safety outcomes in the traditional Chinese medicine public hospitals in Sichuan, China

Na Zhang, Anees Janee Ali, Peiyang Gao

Article ID: 8936
Vol 8, Issue 15, 2024


Abstract


Hospital performance possesses strategic significance in achieving an essential completive advantage for the public hospitals. This study aimed to examine the relationship between patient safety culture (PSC) and the performance of traditional Chinese medicine (TCM) public hospitals in Sichuan, China. To address the research purpose, this study analyses the hospital performance and Patient safety culture in traditional Chinese medicine public hospital in China. We examine the propose model by analyzing cross-sectional survey data from 194 clinical directors at 194 public traditional Chinese medicine hospitals using the Partial least squares structural equation model in Smart PLS 4.0. This study provides predictive evidence that PSC in unit management and management support can lead to better patient safety outcomes. The results revealed patient safety outcomes significantly and positively effects of patient safety related to unit management and management support on overall hospital performance (p-value: 0.000–0.003).


Keywords


patient safety culture; hospital performance; traditional Chinese medicine; public hospitals; China

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References


Acosta-Prado, J. C., López-Montoya, O. H., Sanchís-Pedregosa, C., & Zárate-Torres, R. A. (2020). Human resource management and innovative performance in non-profit hospitals: the mediating effect of organizational culture. Frontiers in Psychology, 11, 1422. https://doi.org/10.3389/fpsyg.2020.01422.

AHRQ (Agency for Healthcare Research and Quality). (2020). Second User Comparative Database Report on Hospital Survey on Patient Safety Culture (HSOPS) 2.0. Patient Safety Network. Retrieved from https://www.ahrq.gov/sops/events/news/hsops2-release.html.

Badr, H. E., AlFadalah, T., & El-Jardali, F. (2017). Towards promoting patient safety practices: Baseline assessment of patient safety culture in three private hospitals. International Journal of Healthcare Management, 13(3), 207–214. https://doi.org/10.1080/20479700.2017.1390958

Caldas, B. D. N., Portela, M. C., Singer, S. J., & Aveling, E. L. (2022). How can implementation of a large-scale patient safety program strengthen hospital safety culture? Lessons from a qualitative study of national patient safety program implementation in two public hospitals in Brazil. Medical Care Research and Review, 79(4), 562-575.

Calvache, J. A., Benavides, E., Echeverry, S., Agredo, F., Stolker, R. J., & Klimek, M. (2021). Psychometric properties of the Latin American Spanish version of the hospital survey on patient safety culture questionnaire in the surgical setting. Journal of Patient Safety, 17(8), e1806-e1813. Https://doi: 10.1097/PTS.0000000000000644.

Cantu, J., Tolk, J., Fritts, S., & Gharehyakheh, A. (2020). High Reliability Organization (HRO) systematic literature review: Discovery of culture as a foundational hallmark. Journal of Contingencies and Crisis Management, 28(4), 399-410. Https:// doi: 10.1056/CAT.21.0314.

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Routledge. https://doi.org/10.4324/978020377158.

Cook, R. D. (2000). Detection of Influential Observation in Linear Regression. Technometrics, 42(1), 65–68. https://doi.org/10.1080/00401706.2000.10485981.

Danks, N. P., Ray, S., & Shmueli, G. (2024). The composite overfit analysis framework: assessing the out-of-sample generalizability of construct-based models using predictive deviance, deviance trees, and unstable paths. Management Science, 70(1), 647-669. https://doi.org/10.1287/mnsc.2023.4705

David Blumenthal et al., Mirror, Mirror 2024: A Portrait of the Failing U.S. Health System — Comparing Performance in 10 Nations (Commonwealth Fund, Sept. 2024). https://doi.org/10.26099/ta0g-zp66

De Rooij, M., Karch, J. D., Fokkema, M., Bakk, Z., Pratiwi, B. C., & Kelderman, H. (2022). SEM-based out-of-sample predictions. Structural Equation Modeling: A Multidisciplinary Journal, 30(1), 132–148. https://doi.org/10.1080/ 10705511.2022.2061494.

Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743-1748. https://doi.org/10.1001/jama.1988.0341012008903.

Enya, A., Dempsey, S., Pillay, M. (2019). High Reliability Organisation (HRO) Principles of Collective Mindfulness: An Opportunity to Improve Construction Safety Management. In: Arezes, P. (eds) Advances in Safety Management and Human Factors. AHFE 2018. Advances in Intelligent Systems and Computing, vol 791. Springer, Cham. https://doi.org/10.1007/978-3-319-94589-7_1.

Essuman, D., Ataburo, H., Boso, N., Anin, E. K., & Appiah, L. O. (2023). In search of operational resilience: How and when improvisation matters. Journal of Business Logistics, 44(3), 300-322. https://doi.org/10.1111/jbl.12343.

Famolaro T, Hare R, Yount ND, Fan L, Liu H, Sorra J. Surveys on Patient Safety Culture(SOPS®) Hospital Survey 2.0: 2021 User Database Report. (Prepared by Westat, Rockville, MD, under Contract No. HHSP233201500026I/HHSP23337004T). Rockville, MD: Agency for Healthcare Research and Quality; March 2021. AHRQ Publication No. 21-0017.

Franke, G. R., Sarstedt, M., & Danks, N. P. (2021). Assessing measure congruence in nomological networks. Journal of Business Research, 130, 318–334. https://doi.org/ 10.1016/j.jbusres.2021.03.003.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modelling (PLS-SEM) using R: A workbook (p. 197). https://doi.org/10.15480/882.4101.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 3rd Edition. Thousand Oaks: Sage.

Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2019), “When to use and how to report the results of PLS-SEM”, European Business Review, Vol. 31 No. 1, pp. 2-24. https://doi.org/10.1108/EBR-11-2018-0203.

Hall, N., Klein, V., Betts, K., & DeRanieri, J. (2018). Speaking up: Fostering “silence breaking” through leadership. Nursing management, 49(6), 51-53.

Hao, H. S., Gao, H., Li, T., & Zhang, D. (2020). Assessment and Comparison of Patient Safety Culture Among Health-Care Providers in Shenzhen Hospitals. Risk Management and Healthcare Policy, 13, 1543–1552. https://doi.org/10.2147/RMHP.S266813.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8.

Huang, H., Bach, J. R., Sharma, H. S., Chen, L., Wu, P., Sarnowska, A., ... & Sanberg, P. R. (2024). The 2023 yearbook of Neurorestoratology. Journal of Neurorestoratology, 100136. https://www.sciencedirect.com/science/article/pii/S2324242624000433

Imani, A., Alibabayee, R., Golestani, M., & Dalal, K. (2022). Key Indicators Affecting Hospital Efficiency: A Systematic Review. Frontiers in public health, 10, 830102. https://doi.org/10.3389/fpubh.2022.830102.

Institute of Medicine (US) Committee on Quality of Health Care in America, Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (Eds.). (2000). To Err is Human: Building a Safer Health System. National Academies Press (US).

Kakemam, E., Gharaee, H., Rajabi, M. R., Nadernejad, M., Khakdel, Z., Raeissi, P., & Kalhor, R. (2021). Nurses’ perception of patient safety culture and its relationship with adverse events: a national questionnaire survey in Iran. BMC nursing, 20, 1-10. https://doi.org/10.1186/s12912-021-00571-w.

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.

Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for information Systems, 13(7), 2. Available at SSRN: https://ssrn.com/abstract=2152644

Lasker, J. (2024). Measurement Invariance Testing Works. Applied Psychological Measurement. https://doi.org/10.1177_01466216241261708.

Lee, J. Y., McFadden, K. L., Lee, M. K., & Gowen III, C. R. (2021). US hospital culture profiles for better performance in patient safety, patient satisfaction, Six Sigma, and lean implementation. International Journal of Production Economics, 234, 108047.https://doi.org/10.1016/j.ijpe.2021.108047.

Lee, S. E., Dahinten, V. S., Seo, J. K., Park, I. Y., Lee, M. Y., & Han, H. S. (2023). Patient Safety Culture and Speaking Up Among Health Care Workers. Asian Nursing Research, 17(1), 30–36. https://doi.org/10.1016/j.anr.2023.01.001

Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727X.2015.1005806.

Li, Y., Cheng, Y., Hu, X., & Zhang, L. (2021). Transcultural adaptation and psychometric evaluation of the mainland China version of Nursing Home Survey on Patient Safety Culture Questionnaire: a cross-sectional survey based on 50 nursing homes in China. BMJ open, 11(6), e043994. https://bmjopen.bmj.com/content/11/6/e043994.abstract

Li, Z., Yang, L., Tang, S., & Bian, Y. (2020). Equity and efficiency of health resource allocation of Chinese medicine in Mainland China: 2013–2017. Frontiers in Public Health, 8, 579269. https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2020.579269/full

Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57(3), 519–530.https://doi:org/10.1093/biomet/57.3.519.

National Administration of Traditional Chinese Medicine. (2023, April 17). Notice on the issuance of the operation manual for the performance assessment of national secondary public TCM hospitals (2023 version). Retrieved from http://www.natcm.gov.cn/yizhengsi/gongzuodongtai/2023-04-17/30135.html.

National Administration of Traditional Chinese Medicine. (2023, February 28). Notice on the issuance of the operation manual for the performance assessment of national secondary public TCM hospitals (2023 version). Retrieved from http://www.natcm.gov.cn/yizhengsi/gongzuodongtai/2023-02-28/29344.html

National Health Commission of the People’s Republic of China. (2019, December 29). Law of the People’s Republic of China on Basic Medical and Health Care and the Promotion of Health. Retrieved from https://www.gov.cn/xinwen/2019-12/29/content_5464861.htm nomological networks.

Newsom, J. T., Hachem, Z. A., Granger, A. M., & Denning, E. C. (2022). Where Did I Go Wrong with My Model? Ten Tips for Getting Results in SEM. Structural Equation Modeling: A Multidisciplinary Journal, 30(3), 491–500. https://doi.org/10.1080/10705511.2022.2101113.

Palmieri, P.A., Leyva-Moral, J.M., Camacho-Rodriguez, D.E. et al. Hospital survey on patient safety culture (HSOPSC): a multi-method approach for target-language instrument translation, adaptation, and validation to improve the equivalence of meaning for cross-cultural research. BMC Nurs 19, 23 (2020). https://doi.org/10.1186/s12912-020-00419-9.

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Purwanto, A., & Sudargini, Y. (2021). Partial Least Squares Structural Squation Modeling (PLS-SEM) Analysis for Social and Management Research: A Literature Review. Journal of Industrial Engineering & Management Research, 2(4), 114 - 123. https://doi.org/10.7777/jiemar.v2i4.168.

Ree, E., & Wiig, S. (2020). Linking transformational leadership, patient safety culture and work engagement in home care services. Nursing Open, 7(1), 256-264. https://doi.org/10.1002/nop2.386.

Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074. https://doi.org/10.1016/j.dib.2023.109074.

Ringle, C. M., Wende, S., & Becker, J.-M. (2022). SmartPLS 4. SmartPLS.

Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling. Industrial management & data systems, 121(12), 2637-2650.https://doi.org/10.1108/IMDS02-2021-0082.

Rotteau, L., Goldman, J., Shojania, K. G., Vogus, T. J., Christianson, M., Baker, G. R., ... & Coffey, M. (2022). Striving for high reliability in healthcare: a qualitative study of the implementation of a hospital safety programme. BMJ Quality & Safety, 31(12), 867-877. https://doi.org/10.1136/bmjqs-2021-013938.

Sarstedt, M., Ringle, C.M., Hair, J.F. (2022). Partial Least Squares Structural Equation Modeling. In: Homburg, C., Klarmann, M., Vomberg, A. (eds) Handbook of Market Research. Springer, Cham. https://doi.org/10.1007/978-3-319-57413-4_15

Simmering, M. J., Fuller, C. M., Richardson, H. A., Ocal, Y., & Atinc, G. M. (2015). Marker Variable Choice, Reporting, and Interpretation in the Detection of Common Method Variance: A Review and Demonstration. Organizational Research Methods, 18(3), 473-511. https://doi:org/10.1177/1094428114560023.

Smith A, Vrbos D, Alabiso J, Healy A, Ramsay J and Gallani B, 2021. Editorial: Future directions for risk communications at EFSA. EFSA Journal 2021;19(2):e190201, 6 pp. https://doi.org/10.2903/j.efsa. 2021.e190201

Statistical Information Center. (2024). China Health Statistics Yearbook. Retrieved from http://www.nhc.gov.cn/mohwsbwstjxxzx/tjtjnj/202305/6ef68aac6bd14c1eb9375e01a0faa1fb.shtml.

Tear, M. J., Reader, T. W., Shorrock, S., & Kirwan, B. (2020). Safety culture and power: Interactions between perceptions of safety culture, organisational hierarchy, and national culture. Safety science, 121, 550-561. https://doi.org/10.1016/j.ssci.2018.10.014.

Vogus, T. J., Sutcliffe, K. M., & Weick, K. E. (2010). Doing no harm: enabling, enacting, and elaborating a culture of safety in health care. Academy of Management Perspectives, 24(4), 60-77.

Wang, J., Sun, T., Liu, B., Cao, Y., & Wang, D. (2021). Patient Outcome Predictions Improve Operations at a Large Hospital Network. Retrieved from http.//arxiv.org/pdf/2305.15629v1.pdf.

Zhou, P., Bai, F., Tang, H. Q., Bai, J., Li, M. Q., & Xue, D. (2018). Patient safety climate in general public hospitals in China: differences associated with department and job type based on a cross-sectional survey. BMJ open, 8(4), e015604. https://bmjopen.bmj.com/content/8/4/e015604.abstract




DOI: https://doi.org/10.24294/jipd8936

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