IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i6p3286-d768404.html
   My bibliography  Save this article

One-Year Prevalence of Perceived Medical Errors or Near Misses and Its Association with Depressive Symptoms among Chinese Medical Professionals: A Propensity Score Matching Analysis

Author

Listed:
  • Meixia Xu

    (Department of Current Situation and Policy, School of Marxism, Shandong Women’s University, Jinan 250300, China)

  • Yifan Wang

    (Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan 250012, China
    NHC Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China)

  • Shuxin Yao

    (Department of Current Situation and Policy, School of Marxism, Shandong Women’s University, Jinan 250300, China)

  • Rongju Shi

    (Department of Current Situation and Policy, School of Marxism, Shandong Women’s University, Jinan 250300, China)

  • Long Sun

    (Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan 250012, China
    NHC Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China)

Abstract

Objective: Medical errors or near misses (MENM) may cause serious negative outcomes for the patients. However, medical professionals with MENM may also be secondary victims. Although the association between MENM and depression among medical professionals has been explored in several previous studies, the possible causal relationship has been explored less, especially in China. In this study, our first aim was to determine the prevalence of MENM among Chinese medical professionals. We also wanted to explore the causal effect of MENM on depressive symptoms based on a propensity-score matching analysis. Methods: A cross-sectional study was conducted among medical professionals in Chinese public general hospitals, and 3426 medical professionals were analyzed in this study. The Center for Epidemiologic Studies Depression (CES-D) scale was used to assess depressive symptoms. Social support was measured by the Multidimensional Scale of Perceived Social Support (MSPSS). MENM, social-demographic variables, occupational characteristics, and physical disease were also evaluated in this study. Results: The one-year prevalence of perceived MENM was 2.9% among medical professionals in Chinese public general hospitals. The results of logistic regressions showed that working hours/week (OR = 1.02, p < 0.05) and depressive symptoms (OR = 1.05, p < 0.001) were associated with MENM. After propensity score matching, depressive symptoms were associated with MENM (OR = 1.05, p < 0.001) among medical professionals. The associations between occupational characteristics, physical disease, social support, and MENM were not supported by this study. Conclusions : The one-year prevalence of MENM was low in Chinese public general hospitals, and based on our propensity score matching analyses, the occurrence of MENM may cause depressive symptoms in medical professionals. A bigger effort by health systems and organizations may be helpful for reducing MENM.

Suggested Citation

  • Meixia Xu & Yifan Wang & Shuxin Yao & Rongju Shi & Long Sun, 2022. "One-Year Prevalence of Perceived Medical Errors or Near Misses and Its Association with Depressive Symptoms among Chinese Medical Professionals: A Propensity Score Matching Analysis," IJERPH, MDPI, vol. 19(6), pages 1-9, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3286-:d:768404
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/6/3286/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/6/3286/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhihui Jia & Xiaotong Wen & Xiaohui Lin & Yixiang Lin & Xuyang Li & Guoqing Li & Zhaokang Yuan, 2021. "Working Hours, Job Burnout, and Subjective Well-Being of Hospital Administrators: An Empirical Study Based on China’s Tertiary Public Hospitals," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
    2. İlknur Kahriman & Havva Öztürk, 2016. "Evaluating medical errors made by nurses during their diagnosis, treatment and care practices," Journal of Clinical Nursing, John Wiley & Sons, vol. 25(19-20), pages 2884-2894, October.
    3. Małgorzata Lipowska & Ha Truong Thi Khanh & Mariusz Lipowski & Joanna Różycka-Tran & Mariola Bidzan & Thu Tran Ha, 2019. "The Body as an Object of Stigmatization in Cultures of Guilt and Shame: A Polish–Vietnamese Comparison," IJERPH, MDPI, vol. 16(16), pages 1-17, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gabriela Pedro Gomes & Neuza Ribeiro & Daniel Roque Gomes, 2022. "The Impact of Burnout on Police Officers’ Performance and Turnover Intention: The Moderating Role of Compassion Satisfaction," Administrative Sciences, MDPI, vol. 12(3), pages 1-18, July.
    2. Chung-Ying Lin & Hector W. H. Tsang, 2020. "Stigma, Health and Well-Being," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
    3. Dominika Guzek & Duy Nguyen & Dominika Głąbska, 2021. "Food Neophobia and Consumer Choices within Vietnamese Menu in a Polish Cohort Study," IJERPH, MDPI, vol. 18(6), pages 1-13, March.
    4. Kata Ivanišević & Radoslav Kosić & Sandra Bošković & Marija Bukvić, 2022. "Implementation of the Nurse Professional Competence Scale in the Republic of Croatia," SAGE Open, , vol. 12(3), pages 21582440221, August.
    5. Yu Xin & Xiaohui Ren, 2020. "Social Capital as a Mediator through the Effect of Education on Depression and Obesity among the Elderly in China," IJERPH, MDPI, vol. 17(11), pages 1-12, June.
    6. Mayr, Kathrin & Teller, Christoph, 2023. "Customer deviance in retailing: Managers’ emotional support and employees’ affective wellbeing," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    7. Chung-Ying Lin & Meng-Che Tsai & Chih-Hsiang Liu & Yi-Ching Lin & Yi-Ping Hsieh & Carol Strong, 2019. "Psychological Pathway from Obesity-Related Stigma to Anxiety via Internalized Stigma and Self-Esteem among Adolescents in Taiwan," IJERPH, MDPI, vol. 16(22), pages 1-9, November.
    8. Xavier C. C. Fung & Amir H. Pakpour & Ya-Ke Wu & Chia-Wei Fan & Chung-Ying Lin & Hector W. H. Tsang, 2019. "Psychosocial Variables Related to Weight-Related Self-Stigma in Physical Activity among Young Adults across Weight Status," IJERPH, MDPI, vol. 17(1), pages 1-11, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3286-:d:768404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.