Iranian Journal Of Health Sciences
علوم بهداشتی ایران
Iran J Health Sci
Medical Sciences
http://jhs.mazums.ac.ir
1
admin
2322-553X
2322-4797
10.29252/jhs
en
jalali
1402
2
1
gregorian
2023
5
1
11
2
online
1
fulltext
en
Identification and Introduction of a New Classification of Key Performance Shaping Factors in Staff Performance in the Healthcare System
مدیریت خدمات بهداشتی درمانی
Health care Management
پژوهشي
Original Article
<div style="text-align: justify;"><span style="font-size:11pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""><span style="font-size:14px;"><span style="font-family:Tahoma;"><span style="line-height:2;"><strong>Background and Purpose</strong>: Selection of the appropriate performance shaping factors (PSFs) is a vital challenge encountered by all experts in human reliability analysis (HRA) and plays a significant role in achieving reliable results. The main purpose of this research is to present a comprehensive set of staff PSFs that affect the emergence of errors and incidents in the healthcare system, referred to as healthcare- (H)-PSFs.<br>
<strong>Materials and Methods</strong>: In this study, the set of H-PSFs was extracted using the PSFs presented for other fields and through consultation with HRA and healthcare experts. For investigation of whether the set of H-PSFs was comprehensive and appropriate, 318 reports of errors and incidents that had arisen at 14 hospitals during 12 months were examined, and the frequency values of each factor were obtained in two modes: where a PSF could and where it could not be repeated in an incident. The most significant H-PSFs were identified using Pareto charts. Also, using Minitab software, the Chi-square goodness of fit test was used to validate the proposed set of PSFs and demonstrate the appropriate accuracy of their frequency of occurrence.<br>
<strong>Results</strong>: According to experts, 43 PSFs were identified for the healthcare system. Using the medical error reports, the number of times that errors and mistakes were related to each PSF was calculated in two cases with and without repetition. To identify the most important PSFs, the Pareto principle has been used. According to the Pareto principle, 14 out of the 43 presented PSFs affected 80% of the errors and incidents that had arisen where PSF repetition was allowed, which amounted to 15 where repetition was not allowed.<br>
<strong>Conclusion</strong>: The Chi-square goodness of fit test result showed that the proposed H-PSFs have sufficient validity to be generalized to other healthcare systems. The results of this article can be of great help to healthcare system managers so that they can make better decisions with the help of the results of this article in formulating general and healthcare system policies. Also, the findings of this study can be used in the healthcare system to analyze and improve human reliability, direct resources more efficiently to improve the performance of safety management systems, and reduce errors and incidents.</span></span></span></span></span></span></div>
Healthcare system, Safety management, Classification, Employee performance appraisal, Risk management
127
136
http://jhs.mazums.ac.ir/browse.php?a_code=A-10-904-1&slc_lang=en&sid=1
Hossein
Mahmoudi Sefidkouhi
حسین
محمودی سفیدکوهی
sefidkooh1383@gmail.com
10031947532846009765
10031947532846009765
No
Department of Industrial Engineering, Faculty of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Esmaeil
Najafi
اسماعیل
نجفی
esmaeilnajafi1400@gmail.com
10031947532846009766
10031947532846009766
Yes
Department of Industrial Engineering, Faculty of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Alireza
Haji
علیرضا
حجی
ahaji@sharif.edu
10031947532846009767
10031947532846009767
No
Department of Industrial Engineering, Faculty of Industrial Engineering, Sharif University, Tehran, Iran.
Abdollah
Arasteh
عبدالله
آراسته
arasteh@nit.ac.ir
10031947532846009768
10031947532846009768
No
Department of Materials and Industrial Engineering, Faculty of Industrial Engineering, Noshirvani University of Technology, Babol, Iran.