Enter your email address
Submit
✅ 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.
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 [4].
One of the most sensitive, yet susceptible, activities to human error in hospitals is the dialysis process. Due to its complexity on one hand the increase in number of patients needing this process on the other hand, the occurrence of errors in this process increases and, depending on the sensitivity of the subject, leads to adverse consequences including patient death. One of the quantitative methods of estimating the probability of human error is the assessment of human reliability by the Standardized Plant Analysis Risk Human Reliability (SPAR-H) method. Limited studies have been performed using this method in health care units, including studies of human errors in cardiac care and radiology units [11, 12].
This study aimed to quantitatively evaluate human error using the SPAR-H method in a dialysis process in one of Shiraz hospitals.
The present study is a cross-sectional descriptive-analytical study that was performed to identify and evaluate the probability of human error in the dialysis process of one of the hospitals by SPSR-H method. The studied hospital consisted of six dialysis units, each with 2 dialysis machines (ability to accommodate 1 patient), with 2 nurses in each ward participating in the dialysis process. Nurses' work experience ranged from 3 to 12 years. The data collection was also carried out with the help of dialysis process, interviews with the nurses of the unit, review of documents, procedures and working procedures.
The stages of implementation of the study are as follows.
1. Analyzing job tasks and determining their type in the dialysis process
2. Quantifying human error by SPAR-H method:
2.1. Determine the type of base event
2.2. Identification and determination of factors affecting human fault occurrence (PSF) in diagnostic and functional tasks
Table 1. How to evaluate the factors affecting human error in diagnostic and functional activities
PSF | Diagnostic activity | Functional activity | ||
PSF level | PSF level coefficient | PSF level | PSF level coefficient | |
Available time |
Insufficient time | Probability of failure = 1 | Insufficient time | Probability of failure = 1 |
Inadequate time (2/3 nominal time) | 10 | The available time is approximately equal to the time required | 10 | |
Nominal time [there is almost enough time to diagnose the problem] | 1 | Nominal time | 1 | |
Extra time (between 1 and 2 times the nominal time and more than 30 minutes) | 0.1 | Available time equal to or more than 5 times the time required | 0.1 | |
Extended time (more than 2 times the nominal time and more than 30 minutes) | 0.01 | Available time equal to or greater than 50 times the time required | 0.01 | |
Stress |
Severe | 5 | Severe | 5 |
Top | 2 | Top | 2 | |
Nominal | 1 | Nominal | 1 | |
Insufficient information | 1 | Insufficient information | 1 | |
Complexity |
very complicated | 5 | very complicated | 5 |
Relatively complex | 2 | Relatively complex | 2 | |
Nominal | 1 | Nominal | 1 | |
Clear diagnosis | 0.1 | |||
Insufficient information | 1 | Insufficient information | 1 | |
Training / Experience |
Down | 10 | Down | 3 |
Nominal | 1 | Nominal | 1 | |
Top | 0.5 | Top | 0.5 | |
Insufficient information | 1 | Insufficient information | 1 | |
Instructions |
Not available | 50 | Not available | 50 |
Incomplete | 20 | Incomplete | 20 | |
Existing but weak | 5 | Existing but weak | 5 | |
Nominal | 1 | Nominal | 1 | |
Diagnostic | 0.5 | |||
اInsufficient Info | 1 | Insufficient information | 1 | |
Ergonomics / human-machine interaction |
Comfortable | 50 | Confusing | 50 |
Poor | 10 | Poor | 10 | |
Nominal | 1 | Nominal | 1 | |
Good | 0.5 | Good | 0.5 | |
Insufficient information | 1 | Insufficient information | 1 | |
Proportional to Duty |
Unsuitable | Probability of failure = 1 | Unsuitable | Probability of failure = 1 |
Destructive proportion | 5 | Destructive proportion | 5 | |
Nominal | 1 | Nominal | 1 | |
Insufficient information | 1 | Insufficient information | 1 | |
Working process | Poor | 2 | Poor | 5 |
Nominal | 1 | Nominal | 1 | |
Good | 0.8 | Good | 0.5 | |
Insufficient information | 1 | Insufficient information | 1 |
The probability stage of human error was calculated for each of the job tasks according to the levels selected for the PSFs using Equations 1 and 2.
Relation # 1 (human error probability for diagnostic activity): HEPD = 0.01×∏PSF
Relation # 2 (human error probability calculation for functional activity): HEPA = 0.001×∏PSF
In the above relationships, the basic human error probability [BHEP] values for diagnostic and functional activities are 0.01 and 0.001, respectively [13]. In tasks with at least 3 PSFs [negative PSFs] having a coefficient greater than 1, the probability of human error was calculated using Equation 3, taking into account the adjustment coefficient.
Table 2. Determining dependency level and how to calculate the probability of human error in dialysis nursing job tasks
Row | Staff | Interval | Place of duty | Symptoms [extra or non-extra] | Dependency level | Relationship of human error probability calculation |
1 | The same |
In terms of time close |
The same |
Non-extra sign | Complete | Probability of failure equal to 1 |
2 | Extra | Complete | ||||
3 | Different |
Non-extra sign | |
|||
4 | Extra | (( 1+Pw/od) )/2 | ||||
5 | In terms of time with distance |
The same |
Non-extra sign | |||
6 | Extra | |||||
7 | Different |
Non-extra sign | ||||
8 | Extra | (( 1+6 ×Pw/od))/7 | ||||
9 | Different |
In terms of time close |
The same |
Non-extra sign | |
|
10 | Extra | ((1+19 ×Pw/od))/20 | ||||
11 | Different |
Non-extra sign | ||||
12 | Extra | |||||
13 | In terms of time with distance |
The same |
Non-extra sign | (( 1+6 ×Pw/od))/7 | |
|
14 | Extra | Low | ||||
15 | Different |
Non-extra sign | Low | |||
16 | Extra | Low | ||||
17 | Zero | Probability of failure equal to PW/OD |
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 (Tables 3 and 4).
Table 3. Hierarchical Job Task Analysis for Dialysis Nurse
1. Pre-dialysis nursing care
1-1. Weight control
1-2. Symptoms control
1-3. Determination of heparin
1-4. Filter Selection [coefficient]
1-5. Determine the type of dialysis solution and its amount
1-6. Client preparation and location of access
2. Preparation of hemodialysis machine and patient connection to the device
2-1. Preparing and stamping the device
2-1-1. Adjust the pump pump according to the overweight and hypertension
2-1-2. Adjust the concentration and temperature of the dialysis solution on the machine
2-2. Priming the arterial set
2-3. Testing the device
2-4. Connect the dialysis machine to the patient
3. Nursing care during dialysis
3-1. Control vital signs every hour
3-2. Control of intravenous and arterial pressure of the device
3-3. Calculation of Liquid Harvesting Rate [TMP]
3-4. Straight control of bleeding and ...
3-5. Heparin injection
3-6. Blood and Drug Injection in ...
3-7. Take the necessary measures in case of device failure ...
4. Post-dialysis nursing care
4-1. Weight loss control
4-2. Control Vital Signs
4-3. Control of the place of perforation of vessels from …
4-4. Disassemble the device correctly
Table 4. Results of quantifying the probability of human errors in the dialysis process
Job duty | Sub-Job duty | PSFC | HEPD | HEPA | PW/OD | Final HEP | |
Diagnostic | Functional | ||||||
Pre-dialysis nursing care |
Weight control | 5 | 1 | 0.05 | 0.001 | 0.051 | 0.051 |
Symptom control | 5 | 1 | 0.05 | 0.001 | 0.051 | 0.051 | |
Determination of heparin | 50 | 2 | 0.335 | 0.002 | 0.337 | 0.337 | |
Filter selection (coefficient) | 50 | 2 | 0.335 | 0.002 | 0.337 | 0.337 | |
Determine the type of dialysis solution and its amount | 50 | 1 | 0.335 | 0.001 | 0.336 | 0.336 | |
Client preparation and location of access | -- | 20 | -- | 0.02 | -- | 0.02 | |
Preparation of hemodialysis machine and attachment of the device to the patient | Adjust the pump speed according to overweight and ... | 50 | 20 | 0.35 | 0.02 | 0.355 | 0.442 |
Dialysis solution concentration and temperature | 50 | 1 | 0.335 | 0.001 | 0.336 | 0.336 | |
Priming the arterial set | 50 | 1 | 0.335 | 0.001 | 0.336 | 0.336 | |
Test the device | 10 | 20 | 0.1 | 0.02 | 0.12 | 0.12 | |
Connect the dialysis machine to the patient | 20 | 20 | 0.2 | 0.02 | 0.22 | 0.331 | |
Nursing Care During Dialysis | Control vital signs every hour | 5 | 1 | 0.05 | 0.001 | 0.05 | 0.05 |
Intravenous and arterial pressure control device | 5 | 1 | 0.05 | 0.001 | 0.05 | 0.05 | |
Calculation of Liquid Harvesting Rate [TMP] | 10 | 1 | 0.1. | 0.001 | 0.1 | 0.1 | |
Bleeding control in terms of bleeding and ... | 5 | 1 | ۵/0 | 0.001 | 0.05 | 0.05 | |
Heparin injection | 10 | 1 | 0.1 | 0.001 | 0.101 | 0.101 | |
Blood transfusions and medications | 1 | 20 | 0.01 | 0.02 | 0.03 | 0.03 | |
Take necessary action in case of device failure | 100 | 5 | 1 | 1.005 | 1 | 1 | |
Nursing Care Post-Dialysis | Weight loss control | 5 | 1 | 0.05 | 0.001 | 0.051 | 0.05 |
Controlling Vital Signs | 5 | 1 | 0.5 | 0.001 | 0.051 | 0.05 | |
Control the location of the perforation of the vessels ... | 5 | 1 | 0.05 | 0.001 | 0.051 | 0.05 | |
Disassemble the device correctly | 20 | 20 | 0.2 | 0.02 | 0.22 | 0.331 |
Discussion
The purpose of this study was to estimate the probability of human error in the dialysis process by nurses using SPAR-H method.
The present study showed that the probability of human error among the dialysis unit nursing tasks was in the range of 0.020 to 0.442 (excluding device disorders) which were related to the main tasks of pre-dialysis nursing care and Hemodialysis device preparation, respectively. As shown in Table 5, the most likely human error in the sub-pump adjustment sub-task with a probability of 0.442 followed by heparin quantification and filter selection with a probability of 0.337 and sub-dialysis task, Solution concentration and temperature adjustment and priming were obtained with a probability of 0.336. The least human error probability was related to client preparation task and access location with probability error of 0.020.
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.
The authors of the article consider it necessary to extend their sincere appreciation for the cooperation of the hospital staff, especially the nursing staff of the dialysis unit.
The authors declared no conflict of interest regarding the publication of this article.
Rights and permissions | |
![]() |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |