Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Feb 3:14:415-430.
doi: 10.2147/RMHP.S293110. eCollection 2021.

The Association Between Cognitive Medical Errors and Their Contributing Organizational and Individual Factors

Affiliations

The Association Between Cognitive Medical Errors and Their Contributing Organizational and Individual Factors

Mohammad S Alyahya et al. Risk Manag Healthc Policy. .

Abstract

Background: Examining cognitive medical errors (MEs) and their contributing factors is vital in health systems research, as it provides baseline data that can be used to develop appropriate interventions to prevent and/or minimize errors. The primary aim of this study was to investigate the association between cognitive MEs and hospitals' organizational factors and the individual psychological and functional factors.

Methods: This cross-sectional study was conducted in three main hospitals in Northern Jordan. A proportional sampling technique was employed to decide the number of participants from each hospital. Data from physicians and nurses (n=400) were collected using a self-administered questionnaire, which was developed based on pertinent literature review. Exploratory and confirmatory factor analyses were conducted to validate the study instrument. The relationships between the variables were analyzed through structural equation modeling (SEM) using AMOS. Multi-group analysis was also performed to examine the differences in the participants' perceptions towards the respective variables between the three selected hospitals.

Results: Our results showed a non-significant negative association between MEs and hospital organizational factors. Also, the SEM analysis showed a positive significant correlation between MEs and psychological and functional factors, whereby excessive workload, complexity of tasks, stress, sleep deprivation, and fatigue were found to be predictors of MEs occurrence. In comparison to the results from the university hospital, the multi-group analysis results from the governmental public hospital and the private hospital showed a significant impact of psychological and functional factors on MEs.

Conclusion: To reduce the occurrence of MEs in hospitals, there is a need to enhance organizational safety culture. Efforts should be directed at both organizational and individual levels. Also, it is essential that health decision makers develop strategies to reduce work-related stress and improve healthcare staff well-being, as work stress may cause cognitive impairments among healthcare workers and hence threaten patients' safety.

Keywords: fatigue; mistakes; organizational culture; policies and procedures; slips and lapses; stress; workload.

PubMed Disclaimer

Conflict of interest statement

The authors report that they have no competing interests in this work.

Figures

Figure 1
Figure 1
Suggested conceptual model of ME factors.

Similar articles

Cited by

References

    1. Safarpour H, Tofighi M, Malekyan L, Bazyar J, Varasteh S, Anvary R. Patient safety attitudes, skills, knowledge and barriers related to reporting medical errors by nursing students. Int J Clin Med. 2017;8:1–11. doi: 10.4236/ijcm.2017.81001 - DOI
    1. Flotta D, Rizza P, Bianco A, Pileggi C, Pavia M. Patient safety and medical errors: knowledge, attitudes and behavior among Italian hospital physicians. Int J Qual Health Care. 2012;24(3):258–265. doi: 10.1093/intqhc/mzs014 - DOI - PubMed
    1. GBD 2013 Mortality and Causes of Death Collaborators. Global, regional, and national age–sex specifi c all-cause and cause-specifi c mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385(9963):117–171. doi: 10.1016/S0140-6736(14)61682-2. - DOI - PMC - PubMed
    1. Makary MA, Daniel M. Medical error—the third leading cause of death in the US. BMJ. 2016;353:i2139. doi: 10.1136/bmj.i21395 - DOI - PubMed
    1. Hogan H, Zipfel R, Neuburger J, Hutchings A, Darzi A, Black N. Avoidability of hospital deaths and association with hospital-wide mortality ratios: retrospective case record review and regression analysis. BMJ. 2015;351:h3239. doi: 10.1136/bmj.h3239 - DOI - PMC - PubMed

LinkOut - more resources