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Evaluation of human errors using Standardized Plant Analysis Risk among health provider personnel in a hospital in Qazvin Province in 2016-2017

  • Mohammad Reza Moddaber ,
  • Batoul Ahmadi ,
  • Ali Mohammad Mosadeghrad ,

Abstract

Background: Human error in the health industry that deals with the lives of people can lead to irreparable losses and massive costs.

Aim: The current study aimed at identifying and evaluating human errors using the SPAR-H technique in one of the hospitals in Qazvin Province.

Method: This study was a cross-sectional study that was conducted in one of the training hospitals of Qazvin in 2016-2017. The target community was 49 of the most senior personnel in four groups of nursing, laboratory, radiology, and services. At first, task analysis was conducted to target group using Hierarchical Task Analysis (HTA) technique by Focus Group method. In the next step, the Human Error Probability (HEP) was determined to utilize SPAR-H method and of performance-shaping factors (PSFs) and action and diagnosis activities were identified. Finally, after determining the dependency level, the final diagnosis HEP was calculated.

Result: Of the total tasks and errors identified, 9 tasks and 17 errors were related to the activities of the nursing staff, 5 assignments and 17 errors related to the activities of the laboratory experts, 3 tasks and 5 errors related to the activities of radiology experts and 3 tasks and 6 errors related to the activities of the service.

Conclusion: The analysis of errors identified in this study showed that the major causes of errors due to the high volume of work and insufficient time in all target groups could be attributed to shortage of available time, stress and high work pressure of personnel.

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How to Cite

Moddaber, M. R., Ahmadi, B., & Mosadeghrad, A. M. (2019). Evaluation of human errors using Standardized Plant Analysis Risk among health provider personnel in a hospital in Qazvin Province in 2016-2017. Bali Medical Journal, 8(1), 233–240. https://doi.org/10.15562/bmj.v8i1.1414

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Mohammad Reza Moddaber
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Batoul Ahmadi
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Ali Mohammad Mosadeghrad
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