Write your message
Volume 7, Issue 3 (Iranian Journal of Ergonomics 2019)                   Iran J Ergon 2019, 7(3): 44-56 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rasouli kahaki Z, Tahernejad S, Rasekh R, Jahangiri M. Evaluation of Human Reliability by Standardized Plant Analysis Risk HRA (SPAR-H) method in the Dialysis Process in Ibn Sina Hospital, Shiraz. Iran J Ergon 2019; 7 (3) :44-56
URL: http://journal.iehfs.ir/article-1-610-en.html
1- Department of Ergonomics, Faculty of Health, Shiraz University of Medical Sciences, Shiraz, Iran
2- Shiraz Ibn Sina Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
3- Department of Occupational Health Engineering, Faculty of Health, Shiraz University of Medical Sciences, Shiraz, Iran
Abstract:   (9869 Views)

Background and Objectives: Human errors in dialysis care can cause injury and death. One of the basic steps to increase reliability in this critical process is to analyze the error and identify the weaknesses of doing this process.
Methods: The present study is a descriptive-analytic cross-sectional study. The SPAR-H method was used to identify and evaluate the probability of human error in the dialysis process. The hospital had six dialysis department and 16 dialysis machines with two nurses in each department. Data collection was done by observing the dialysis process, interview with nurses, reviewing the documents, methods of work and work instructions.
Results: The present study showed that the probability of human error in the duties of a dialysis nurse is in the range of 0.02-0.44 (except for devices related to disorder), which is related to sub-duty preparing patient as lowest rate and sub-duty of the pump set-off as highest error rate.
Conclusion: To reduce and control the human error in nursing duties in the dialysis department, control measures should be done such as increasing the number of personnel, changing the time shift of nurses, and training, preparing and revising the instructions.

Full-Text [PDF 711 kb]   (8667 Downloads) |   |   Extended Abstract (HTML)  (938 Views)  

To reduce and control the human error in nursing duties in the dialysis department, control measures should be done such as increasing the number of personnel, changing the time shift of nurses, and training, preparing and revising the instructions.


Type of Study: Research | Subject: Other Cases
Received: 2019/02/11 | Accepted: 2019/12/22 | ePublished: 2020/01/12

References
1. James JT. A new, evidence-based estimate of patient harms associated with hospital care. Journal of Patient Safety. 2013; 9(3):122-8. [DOI:10.1097/PTS.0b013e3182948a69] [PMID]
2. Mazloumi A, Kermani A, NaslSeraji J, GhasemZadeh F. Identification and evaluation of human errors of physicians at emergency ward of an educational hospital in Semnan city using SHERPA technique. Occupational Medicine Quarterly Journal. 2013; 5(3):67-78. Persian. [Article] [Google Scholar]
3. Halbach J, Sullivan L. Medical errors and patient safety: A curriculumguide for teaching medical students and family practice residents. City ?: Med-EdPORTAL Publications; 2005. [DOI:10.15766/mep_2374-8265.101]
4. Ahmadi SM, Jalali A, Jalali R. Factors associated with the choice of peritoneal dialysis in Iran: Qualitative study. Open access Macedonian Journal of Medical Sciences. 2018; 6(7):1253. [DOI:10.3889/oamjms.2018.255] [PMID] [PMCID]
5. Iranian Dialysis Consortium, Link: http://www.icdgroup.org/
6. Ridgway M. Optimizing our PM programs. Biomedical instrumentation & technology. 2009; 43(3):244-54. [DOI:10.2345/0899-8205-43.3.244] [PMID]
7. Boring RL, Forester JA, Bye A, Dang VN, Lois E. Lessons learned on benchmarking from the international human reliability analysis empirical study. Paper presented in The International Probabilistic Safety Assessment and Management Conference; 1 Jun 2010; [Google Scholar]
8. Hollnagel E. Human reliability assessment in context. Nuclear Engineering and Technology. 2005; 37(2):159-66. [Article] [Google Scholar]
9. Sands G, Fallon EF, van der Putten WJ. The utilisation of probabilistic risk assessment in radiation oncology. Procedia Manufacturing. 2015; 3:250-7. [DOI:10.1016/j.promfg.2015.07.138]
10. Blackman HS. Human reliability and safety analysis data handbook. Wiley; 1994. [Book] [Google Scholar]
11. Gertman D, Blackman H, Marble J, Byers J, Smith C. The SPAR-H human reliability analysis method. Washington D.C.: US Nuclear Regulatory Commission; 2005. [Article] [Google Scholar]
12. Nazari T, Rabiee A, Ramezani A. Human Error Probability Quantification using SPAR-H Method: Total Loss of Feedwater case study for VVER-1000. Nuclear Engineering and Design. 2018; 331:295-301. [DOI:10.1016/j.nucengdes.2018.03.006]
13. Jahangiri M, Hoboubi N, Rostamabadi A, Keshavarzi S, Hosseini AA. Human error analysis in a permit to work system: a case study in a chemical plant. Safety and Health at Work. 2016; 7(1):6-11. [DOI:10.1016/j.shaw.2015.06.002] [PMID] [PMCID]
14. Mohammadfam IM, Soltanian A, Salavati M, Bashirian S. Assessment of human errors in the nursing profession of intensive cardiac care unit using SPAR-H method. Quarterly Scientific Specialty Occupational Medicine. 2014; 7(1):10-22. [Google Scholar]
15. Pouya AB, Mosavianasl Z, Moradi-Asl E. Analyzing nurses' responsibilities in the neonatal intensive care unit using sherpa and spar-h techniques. Shiraz E-Medical Journal. 2019; 20(6) [Article] [Google Scholar]
16. Tanha F, Mazloumi A, Faraji V, Kazemi Z, Shoghi M. Evaluation of human ‎errors using standardized plant analysis risk human reliability analysis ‎technique among delivery emergency nurses in a hospital affiliated to Tehran ‎University of Medical Sciences. Journal of Hospital. 2015; 14(3):57-66. [Google Scholar]
17. Mitchell RJ, Williamson A, Molesworth B. Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital. Applied Ergonomics. 2016; 52:185-95. [DOI:10.1016/j.apergo.2015.07.018] [PMID]
18. Kazaoka T, Ohtsuka K, Ueno K, Mori M. Why nurses make medication errors: a simulation study. Nurse Education Today. 2007 May 1;27(4):312-7. [DOI:10.1016/j.nedt.2006.05.011] [PMID]
19. CHoobine AR. Shift problems and approaches. Shiraz: Shiraz University of Medical Sciences; 1986. [Persian]
20. Stanton NA, Salmon PM, Rafferty LA, Walker GH, Baber C, Jenkins DP. Human factors methods: a practical guide for engineering and design. CRC Press; 2017. [DOI:10.4324/9781351156325]

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Ergonomics

Designed & Developed by : Yektaweb |