Exploring the role of safety culture dimensions in patient safety using a Bayesian Belief Network model

被引:0
|
作者
Simsekler, Mecit Can Emre [1 ,2 ]
Qazi, Abroon [3 ]
Al Ozonoff, Al
机构
[1] Khalifa Univ Sci & Technol, Dept Management Sci & Engn, POB 127788, Abu Dhabi 127788, U Arab Emirates
[2] Boston Childrens Hosp, Precis Vaccines Program, 300 Longwood Ave, Boston, MA 02115 USA
[3] Amer Univ Sharjah, Sch Business Adm, Sharjah 26666, U Arab Emirates
关键词
Safety culture; Patient safety; Healthcare analytics; Bayesian Belief Network; SOPS hospital survey 2.0; Machine learning; Artificial intelligence; HEALTH-CARE; HOSPITAL SURVEY; MANAGEMENT; CLIMATE; VALIDATION; PERCEPTIONS; LEADERSHIP; VALIDITY; OUTCOMES; QUALITY;
D O I
10.1016/j.ssci.2025.106817
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
There is a growing recognition of the impact of a multi-dimensional safety culture on patient safety practices within healthcare organizations. Despite this awareness, understanding the relationships among safety culture dimensions and their relative importance in dynamic and complex healthcare delivery remains unclear. To address this gap, we developed a Bayesian Belief Network (BBN) model to quantitatively assess the significance of various safety culture dimensions in influencing patient safety. Utilizing Hospital Survey on Patient Safety Culture (HSOPSC) SOPS Hospital Survey 2.0 data from U.S. teaching hospitals, this study provides insights into the strength of influence among interconnected variables, explores primary factors contributing to the patient safety, and offers guidance for decision-makers on optimal resource utilization by prioritizing safety culture dimensions based on their relative importance. Our findings identify three leading dimensions of safety culture for their significant association with patient safety ratings: 'communication openness,' 'supervisor support for patient safety,' and 'organizational learning - continuous support'. This analysis supports decision-making, providing insights into the relative priority of safety culture dimensions for optimal resource allocation. The BBN is a novel methodology, providing a visual representation of the probabilistic relationships and potential approaches for enhancing patient safety within healthcare settings.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] A civil aviation safety assessment model using a Bayesian belief network (BBN)
    Greenberg, R
    Cook, SC
    Harris, D
    AERONAUTICAL JOURNAL, 2005, 109 (1101): : 557 - 568
  • [2] Safety analysis of RNP approach procedure using fusion of FRAM model and Bayesian belief network
    Oliveira, Diogo
    Moraes, Alison
    Cardoso Junior, Moacyr
    Marini-Pereira, Leonardo
    JOURNAL OF NAVIGATION, 2023, 76 (2-3): : 286 - 315
  • [3] Using the Health Belief Model to explain patient involvement in patient safety
    Bishop, Andrea C.
    Baker, G. Ross
    Boyle, Todd A.
    MacKinnon, Neil J.
    HEALTH EXPECTATIONS, 2015, 18 (06) : 3019 - 3033
  • [4] The patient safety culture: a systematic review by characteristics of Hospital Survey on Patient Safety Culture dimensions
    Reis, Claudia Tartaglia
    Paiva, Sofia Guerra
    Sousa, Paulo
    INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2018, 30 (09) : 660 - 677
  • [5] Role of organizational factors affecting worker safety behavior: a Bayesian Belief Network Approach
    Hadikusumo, Bonaventura H. W.
    Jitwasinkul, Bhanupong
    Memon, Abdul Qayoom
    3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE CIVIL ENGINEERING STRUCTURES AND CONSTRUCTION MATERIALS - SUSTAINABLE STRUCTURES FOR FUTURE GENERATIONS, 2017, 171 : 131 - 139
  • [6] Using Dominance Analysis to Identify the Most Important Dimensions of Safety Culture for Predicting Patient Safety
    Lee, Seung Eun
    Dahinten, V. Susan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (15)
  • [7] Exploring patient safety culture in primary care
    Verbakel, Natasha J.
    Van Melle, Marije
    Langelaan, Maaike
    Verheij, Theo J. M.
    Wagner, Cordula
    Zwart, Dorien L. M.
    INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2014, 26 (06) : 585 - 591
  • [8] Bayesian network model to infer safety culture in companies in the electricity distribution stage
    Gomes da Silva, Luis Geraldo
    Losada Moreira, Joao Manoel
    REVISTA TECNOLOGIA E SOCIEDADE, 2021, 17 (49): : 286 - 304
  • [9] A quantitative accident analysis model on nuclear safety culture based on Bayesian network
    Kim, Young Gab
    ANNALS OF NUCLEAR ENERGY, 2022, 166
  • [10] The Role of Safety Culture in Influencing Provider Perceptions of Patient Safety
    Bishop, Andrea C.
    Boyle, Todd A.
    JOURNAL OF PATIENT SAFETY, 2016, 12 (04) : 204 - 209