Abstract
Background of the study
Along with developments in the clinical domain, medical equipment is becoming more sophisticated, and it needs to function at peak efficiency. In this case, hospitals should priorities the prompt and effective maintenance of life-saving equipment. The purpose of the study was to determine medical equipment maintenance practices, to find out an important factor that influences on-site medical equipment maintenance practices and to suggest possible areas for improvement.
Method
This was a cross-sectional descriptive quantitative research design conducted from November 2022 to February 2023. Data were collected using self-administered structured questionnaires. A sample size of 212 respondents was determined using Slovin’s Formula (N/ 1+ Ne²) from a population size of 450. A convenience sample technique was used to select the participants. An exploratory factor analysis was performed to test the inter-relationship between variables, Bartlett’s test of sphericity(p = 0,000) indicated a significant correlation, The Kaiser-Meyer- Olkin measure of sample adequacy was 0.800, and this value indicated the appropriateness of the data. A desk review and observational checklist were used.
Results
In this study, a descriptive statistic was performed under three objectives: the overall grand mean value of medical equipment maintenance practice was 2.11, and it showed the practices were uninfluential; the overall grand mean value of factors influencing medical equipment maintenance practices was 3.61, and the identified factors were influential; and lastly, the overall grand mean value of root causes of medical equipment maintenance failures was 3.565, and the identified factors were found to be influential factors.
Conclusions
The findings showed that medical equipment maintenance practice was a weekly practice; factors influencing medical equipment maintenance practice and the root causes of medical equipment maintenance failure were identified as influential factors. Corrective maintenance and outsourcing were the main maintenance practices observed, along with a lack of biomedical personnel, inadequate information aboutdevices, a lack of periodical inspection and prevention, design and implementation, and inappropriate medical equipment.
Keywords: Medical, Equipment, Maintenance, Practices, Factors, Root causes
Background of the study
With improvements in the clinical field, hospital medical equipment is becoming more sophisticated and requires perfect operating conditions [1]. In this context, it is important for hospitals to focus on the effective and fast repair of life-saving equipment [1], so it is necessary to ensure that they are working under ideal conditions as clinical advancements progress. Constant maintenance ensures that each piece of equipment provides the required performance and has the estimated effective life cycle, which minimizes operating expenses for the hospital. Healthcare device repair processes have various categories ranging from inspection, preventive maintenance, and repair after the device has failed to operate [2]. Improper repair of healthcare devices results in equipment breakdown, reduces their function, and wastes resources. The availability of services is crucial for the operation of medical technology [3]. A study conducted in Kenya [3], information gathered through a case study from hospital managers and biomedical engineers, the findings revealed factors that hampered device maintenance practices including a lack of a preventive maintenance plan, which leads to frequent device failures; inadequate inventory documentation, which results in poor medical device selection and procurement; and a shortage of spare parts, which results in most devices not working. Based on a World Health Organization (WHO) survey (2006), approximately half of medical instruments in underdeveloped nations have been underutilized, improperly used, or inadequately maintained as a result of a lack of proper maintenance management processes [4]. World Health Organization has found out that, approximately half of the medical equipment in developing countries is used incorrectly or is not adequately maintained due to ineffective management policies; on the other hand, these countries’ ability to handle and maintain medical equipment remains limited [5]. As reported by the WHO, 70% of all medical devices introduced from advanced countries do not function well in lower-income countries, and more than 95% of the healthcare devices in the public sector are imported and of low quality, where 96% would not work well over 5 years after donation, and 39% did not function due to a lack of trained personnel, manufacturer manuals, or accessories [6]. Constant maintenance ensures each piece of equipment provides the required performance and has an estimated effective life cycle, which minimizes operating expenses for the hospital. Healthcare device repair processes have various categories ranging from inspection, preventive maintenance, and repair after the device has failed to operate [2]. A study conducted in Iran [2], revealed seven main themes influencing medical device maintenance and management, such as physical resources, no dedicated area in the hospitals where the maintenance process can take place, limited trained human resources to handle the device operations and services, and inadequate funding for the healthcare device maintenance process. Moreover, the same study indicated that, there were frequent medical equipment break downs due to an irregular power supply to the hospital, which affected the quality control of the devices. A computerized data system to keep records was not well implemented, no operation manuals necessary to assist the biomedical engineering units were available, and there were records of poor documentation maintenance of medical equipment. Gaps in the literature have shown the scarcity of information about medical equipment maintenance practices and the factors that affect them in South Sudan.
WAU Teaching Hospital lacks records and information, which are key for every movement for equipment maintenance practices. There is no real system to maintain data so that someone can retrieve the information successfully for efficient management. It has been observed that; most of the patients were referred to nearby countries for further medical checkups, which incur enormous cost for the patients, and those who cannot afford the travel expenses end-up untreated. In the present study, it was found that maintenance practices are outsourced to a third-party logistics company, corrective maintenance is the main practice observed, lack of biomedical engineering and highly trained technicians, lack of a designated area to repair medical devices, lack of documentation and information about the medical devices and lack of periodical inspection and prevention.
The main purpose of the study was to determine medical equipment maintenance practices, to find out an important factor that influences on-site medical equipment maintenance practices. The researcher was interested in determining the maintenance practices taking place, and the factors affecting them and to proposing a better planning intervention at Wau Teaching Hospital South Sudan. This paper had questioned, how was medical equipment maintenance being practiced at WAU Teaching Hospital? What were the major factors affecting medical equipment maintenance practices at WAU Teaching Hospital? And what were the major causes of medical equipment failure at WAU Teaching Hospital?
Method
Description of the study area
The data were collected at WAU Teaching Hospital, a regional referral hospital serving the entire greater Bahr EL-Ghazal states, namely: - Aweil, Rumbek, Warrap, and Western Bahr el-Ghazal States, South Sudan. This site was chosen due to its centrality, being a referral point, having well-experienced and knowledgeable personnel, and being equipped with sophisticated medical equipment.
Research design
This is a quantitative research design, in which a descriptive cross-sectional research design uses a quantitative approach to examine medical equipment maintenance practices, with the aim of determining the factors that affect medical equipment maintenance practices and the major causes of medical equipment maintenance failure. A convenience sampling of 212 willing respondents gave consent, and self-administered structured questionnaires were used to gather information from the healthcare workers and stakeholders, who are knowledgeable and have ideas regarding medical equipment maintenance practices, Table 1.
Table 1.
Demographic profile of the respondent
| (N = 195) | Frequency | Percent(%) |
|---|---|---|
| Sex | ||
| Male | 87 | 44.6 |
| Female | 108 | 55.4 |
| Age | ||
| 21–25 Years | 12 | 6.2 |
| 26–30 Years | 26 | 13.3 |
| 31–35 Years | 37 | 19 |
| 36–40 Years | 41 | 21 |
| Above 41 Years | 79 | 40.5 |
| Occupation | ||
| Medical doctor | 14 | 7.2 |
| Equipment operator | 10 | 5.1 |
| Storekeeper | 3 | 1.5 |
| Nurse | 140 | 71.8 |
| Mid-wife | 14 | 7.2 |
| Help pooled fund area coordinator | 1 | 0.5 |
| Care international organization coordinator | 1 | 0.5 |
| Theatre attendance | 7 | 3.6 |
| Anaesthetist | 5 | 2.6 |
| Education levels | ||
| Primary school | 3 | 1.5 |
| Secondary school | 72 | 36.9 |
| Diploma | 88 | 45.1 |
| Bachelor | 29 | 14.9 |
| Master | 3 | 1.5 |
| Working experience | ||
| 1–5 Years | 36 | 18.5 |
| 6–10 Years | 27 | 13.8 |
| 11–20 Years | 60 | 30.8 |
| Above 21 years | 72 | 36.9 |
| Marital status | ||
| Single | 26 | 13.3 |
| Married | 150 | 76.9 |
| Divorced | 4 | 2.1 |
| Widow/Widower | 14 | 7.7 |
Study population
The target population was healthcare workers and stakeholders, Director General of Wau Teaching Hospital, Medical Director of Wau Teaching Hospital, Supply Chain Experts, Pediatrician, Obstetrician, Equipment Operators, Medical Doctors, Anesthetists, Theatre Attendance, Matrons, Nurses, Midwives, Storekeepers, Donors, and Implementing Partners who are supporting health service delivery in the hospital.
Inclusion criteria
The inclusion criteria were healthcare workers who operate the equipment and have knowledge and experience regarding medical equipment maintenance practices.
Exclusion criteria
Non equipment operators.
Sample size
Sample size was determined using Slovin’s formula, with a population size [7] of 450 people, a confidence level of 95% and a margin of error of 5%.
Slovin’s formula = N/1 + Ne², where: - N is the population size and e is the margin error.
450/1 + 450 (0.05) ² = 450/1 + 450 (0.0025) = 450/1 + 1.125 = 450/2.125 = 211.7 = 212.
Sampling technique
This study used a convenience sampling technique for quantitative data, where the respondents were chosen based on their working relationship. The participants from various departments were asked, if they would voluntarily sign a consent form and participate in the study. The researcher identified categories of respondents who agreed to participate in the study Table 1. Questionnaires were distributed with the help of the recruited research assistants.
Data collection instruments
The data collection tools were self-administered questionnaires, five (5) Likert scale template was used for the data collection whereby the respondents were asked to tick an appropriate statement, strongly disagree, disagree, neutral, agree and strongly agree. Desk reviews and observation checklists was used, Table 2).
Table 2.
Observation Checklist: the table shows three types of scores. If the element meets the standard, it scores 2; in case of half-done, it scores one; and in case of incompatibility, it scores zero
| Maintenance practices | Standards | Data collection method | Data collection source | Score 0 1 2 |
||
|---|---|---|---|---|---|---|
| Inspection and Preventive | To assess and treat the equipment on the routine basis. | Observation and record review | Head Equipment operator | 0 | ||
| Corrective | To restore device back to its normal function after it fail to operate. | Observation and Record Review | Head Equipment operator | 1 | ||
| Predictive | A forecasting technique to determine the rate of failure of certain types of replaceable component, and then the interval is set to repair the device | Record Review | Head Equipment operator | 0 | ||
| Proactive | The process of maintaining the exact part of the device that had fail to operate. | Record Review | Head Equipment operator | 0 | ||
|
In-house Outsourcing |
Staff do maintain the device in the health facility Third Party logistic contracted to repair the equipment |
Observation & Interview Record Review |
Head Equipment operator Head Equipment operator |
0 2 |
||
Data collection procedure
The University of Rwanda issued a letter for the collection of data in the respective country, and ethical approval was obtained from the South Sudan Ministry of Health Research Ethics Review Board. The director of Wau Teaching Hospital was brief on the aim of the study. The research assistants were trained, and the questionnaire was pretested at Wau Military Hospital.
Data management and analysis
Data were coded, cleaned, and data analysis was performed using the Statistical Package for Social Sciences (SPSS) version twenty-three (23). Exploratory factor analysis was performed to test the interrelationship between variables. Overall grant mean values were performed to test influences under three objectives: medical equipment maintenance practices, factors affecting medical equipment maintenance, and major root causes of medical equipment failures. The descriptive statistical results are shown in the tables and figure.
Analysis of Scales’ Reliability and Validity:
The coefficient was used to measure a scale of multiquestions frequency and measure the degree of compliance between 0 and 1. As the coefficient approaches 1 Cronbach’s alpha is assumed to be very high.
Generally, the following evaluations are made on the Cronbach alpha coefficient of studies in the social sciences:
-
0.0
alpha < 0.40, the scale has no reliability, Weak.
If 0.41 < < alpha < 0.60, the scale’s reliability is low, Good.
For 0.61 < alpha < 0.80, the scale has an acceptable reliability level, Very good.
If 0.81 < alpha < 1.00, the scale’s reliability is very high, Perfect.
Primary source
The statistical reliability of the study (Table 3) is evaluated to be perfect because it ranges between 0.81 < alpha < 1.00 and the scale’s reliability is very high, Perfect.
Table 3.
Statistical reliability
| Cronbach Alpha | Number of Items | |
|---|---|---|
| 0.889 | 30 | |
Factor analysis results
An exploratory factor analysis was performed using a principal component analysis and varimax rotation for medical equipment maintenance practices. The minimal factor loading criterion was set to 0.5 [8]. Bartlett’s test of sphericity measure (P = 0.000) indicated that the correlation matrix was significant (Table 4). The Kaiser-Meyer- Olkin measure of sample adequacy was 0.800, and this value indicated the appropriateness of the data for factor analysis. The communalities of the scale which indicate the amount of variance in each dimension, were assessed to ensure an acceptable level of explanation. The results showed that all the communalities were over 0.5, with the exception of one variable whose value was less than 0.5 and was deleted (Table 5). Factor solution derived from this analysis yielded 3 factors for the scale (Fig. 1), and account for 55.010% of the variance in the data (Table 6). Finally, factors loading related to maintenance practices were grouped into three factors (Table 7).
Table 4.
KMO and Bartlett’s test
|
Kaiser-Meyer Measure of Sample Adequacy Bartlett’s Test of SphericityApprox. Chi-Square df Sig. |
0.800 603.123 66 0.000 |
Table 5.
Communalities
| Initial | Extraction | |
|---|---|---|
| The Hospital has someone or in-house person mandated to repair the equipment | 1.000 | 0.571 |
| This is an area in the hospital where the maintenance process can take place | 1.000 | 0.648 |
| The hospital has the Bioengineer or technical person who can maintain the equipment | 1.000 | 0.647 |
| There is a regular check up on medical equipment in the hospital | 1.000 | 0.577 |
| There is a policy for the equipment practices in the hospital | 1.000 | 0.606 |
| The hospital has the standard operating procedure | 1.000 | 0.618 |
| The hospital repair the equipment by bringing an expert (Thirty-Party) from outside using outsourcing strategy | 1.000 | 0.587 |
| The hospital procure in-house medical equipment maintenance practices | 1.000 | 0.576 |
| Preventive Maintenance as it assess and treat the equipment on routine basis and repair process take place on the regular interval become the most preferred maintenance practices in Wau Teaching Hospital | 1.000 | 0.633 |
| Corrective Maintenance as it a process of restoring device back to its normal function after it fails to operate, is the most preferred maintenance practice in Wau Teaching Hospital | 1.000 | 0.609 |
| Predictive Maintenance is the most preferred maintenance practice in Wau Teaching Hospital | 1.000 | 0.728 |
| Pro-active Maintenance being the process of maintaining the exact of the device that had failed to operate is the most preferred maintenance practices in Wau Teaching Hospital | 1.000 | 0.626 |
| Resource related factors (such as lack of adequate human resource, physical infrastructure, limited funding) affects medical equipment maintenance practice | 1.000 | 0.651 |
| Lacking of training to the equipment operators affects medical equipment maintenance practices | 1.000 | 0.718 |
| Documentation/Information bank factors (such as local and global policies, standard operating procedure, lack of inventory and language barrier) affects medical equipment maintenance practices | 1.000 | 0.698 |
| Miss- appropriateness factors (such as lack of frequent cleaning and use of device by a person not skillful) affects medical equipment maintenance practices | 1.000 | 0.637 |
| Planning and Action factors (such as procurement determination policy to access medical equipment and culture of managers to decision-making) affects medical equipment maintenance practices | 1.000 | 0.675 |
| Infrastructure factors(such as narrow space and power disruption affects medical equipment maintenance practices). | 1.000 | 0.630 |
| Quality and Safety factors (such as testing the device commissioning, adjustment and calibration) affects medical equipment maintenance practices | 1.000 | 0.538 |
| Improper storage and transportation are the major root causes for medical equipment maintenance failure | 1.000 | 0.610 |
| Initial failure is the major root cause for medical equipment maintenance failure | 1.000 | 0.532 |
| Inappropriate handling is the major cause for medical equipment maintenance failure | 1.000 | 0.691 |
| Inadequate maintenance is the major root cause for medical equipment maintenance failure | 1.000 | 0.611 |
| Environmental stress is the major root cause for medical equipment maintenance failure | 1.000 | 0.616 |
| Random failure is the major root cause for medical equipment maintenance failure | 1.000 | 0.684 |
| Inappropriate repair technic is the major root cause for medical equipment maintenance failure | 1.000 | 0.624 |
| Wear-out failure is the major root cause for medical equipment maintenance failure | 1.000 | 0.743 |
| Poor maintenance culture is the major root cause for medical equipment maintenance failure | 1.000 | 0.782 |
| Lack of highly trained technicians are the major root causes for medical equipment maintenance failure | 1.000 | 0.526 |
Extraction Method: Principal Component Analysis
Fig. 1.
The three factors extracted
Table 6.
Total variance explained
| Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
| 1 | 3.911 | 32.595 | 32.595 | 3.911 | 32.595 | 32.595 | 2.617 | 21.807 | 21.807 |
| 2 | 1.500 | 12.499 | 45.094 | 1.500 | 12.499 | 45.094 | 2.084 | 17.367 | 39.174 |
| 3 | 1.190 | 9.916 | 55.010 | 1.190 | 9.916 | 55.010 | 1.900 | 15.836 | 55.010 |
| 4 | 0.968 | 8.063 | 63.073 | ||||||
| 5 | 0.891 | 7.424 | 70.497 | ||||||
| 6 | 0.700 | 5.835 | 76.332 | ||||||
| 7 | 0.650 | 5.420 | 81.752 | ||||||
| 8 | 0.567 | 4.727 | 86.479 | ||||||
| 9 | 0.470 | 3.918 | 90.397 | ||||||
| 10 | 0.432 | 3.599 | 93.996 | ||||||
| 11 | 0.396 | 3.303 | 97.299 | ||||||
| 12 | 0.324 | 2.701 | 100.000 | ||||||
Extraction Method: Principal Component Analysis
Table 7.
This showed factors loading related to maintenance practices
| Types of practices | Component 1 |
2 | 3 |
|---|---|---|---|
| Human Resource |
0.775 0.736 0.704 0.696 |
||
| Policy and SOP | 0.723 | ||
| 0.665 | |||
| 0.636 | |||
| Types of Maintenance Practices | 0.604 | 0.741 | |
| 0.690 | |||
| 0.689 | |||
| 0.560 |
Factor 1: Indicates the expertise and infrastructure where the repair process can take place
Factor 2: It loaded the policy and standard operating procedure together
Factor 3: It loaded the types of maintenance practices
Table (8) located at the end of the document, shows Descriptive Statistics under Objective 1, Medical Equipment Maintenance Practice, and the overall grand mean value of Medical Equipment Maintenance Practice was 2.11, which can be interpreted as weakly practiced (the practices are uninfluential), as the weighted average mean value falls between a mean range of 1.80 and 2.59.
Table 8.
Weighted average values for 5 point likert scales
| Weighted Average | Result | Result interpretation |
|---|---|---|
| 1.00-1.79 | Strongly disagree | Very uninfluential |
| 1.80–2.59 | Disagree | Uninfluential |
| 2.60–3.39 | Neutral | Neutral/do not know |
| 3.40–4.19 | Agree | Influential |
| 4.20-5.00 | Strongly agree | Very influential |
In the descriptive data analysis, mean values were calculated for each construct in the Likert scales, from Strongly Disagree = 1 to Strongly Agree = 5, and the associated standard deviation was also calculated. The mean responses given for each construct of variables under investigation were averaged to obtain the composite mean for variables. For objective interpretation and comparison of the results, the composite mean was interpreted by dividing the distances between the scale values (4) by the number of values (which is 5 on a 5-point Likert scale). Thus the distance is 4/5 = 0.80, which is used to calculate the weighted averages (1 + 0.8 = 1.8, 1.8 + 08 = 2.6, 2.6 + 0.8 = 3.4, 3.4 + 0.8 = 4.2, 4.2 + 0.8 = 5). The weighted average categories (mean score) were interpreted with the level of agreement for each factor calculated, and its interpretation was aligned with an equal level of degree to explain the objectives. A weighted average between 1.00 and 1.79 interpreted as “very low/very weak”, 1.80–2.59 as low, 2.60–3.39 as neutral/do not know, 3.40–4.19 as moderate, and 4.20-5.00 as a high level of practice or performance or effect (Table 9).
Table 9.
Showed descriptive statistics under objective 1, medical equipment maintenance practice
| Item: Medical equipment maintenance practice | Scalea | Mean | Std. Dev. |
|||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||||||
| The hospital has someone or in-house person mandated to repair the equipment | 140 | 29 | 7 | 12 | 7 | 2.86 | 1.11 | |||
| There is an area in the hospital where the maintenance process can take place | 100 | 55 | 9 | 22 | 9 | 1.55 | 1.06 | |||
| The hospital has the bioengineer or technical person who can maintain the equipment | 120 | 44 | 17 | 11 | 3 | 1.90 | 1.19 | |||
| There is a regular check up on medical equipment in the hospital | 101 | 58 | 15 | 13 | 8 | 1.63 | 0.97 | |||
| The hospital has regular electric power supply | 92 | 52 | 15 | 22 | 14 | 1.82 | 1.10 | |||
| There is a policy for the equipment maintenance practices in the hospital | 94 | 56 | 20 | 17 | 7 | 2.05 | 1.29 | |||
| The hospital has the standard operating procedure | 90 | 51 | 17 | 25 | 12 | 1.90 | 1.12 | |||
| The hospital repair the equipment by bringing an expert (Third Party) from outside using outsourcing strategy | 74 | 43 | 15 | 44 | 19 | 2.07 | 1.27 | |||
| The hospital procures in-house medical equipment maintenance practices | 94 | 58 | 28 | 8 | 7 | 2.44 | 1.43 | |||
| Preventive maintenance as it assess and treat the equipment on the routine basis and repair process take place on the regular interval become the most preferred maintenance practice in WAU teaching hospital | 81 | 47 | 24 | 25 | 18 | 1.85 | 1.05 | |||
| Corrective maintenance as it is a process of restoring device back to its normal function after it fails to operate is the most preferred maintenance practice in WAU teaching hospital | 45 | 55 | 13 | 25 | 57 | 2.24 | 1.35 | |||
| Predictive maintenance is the most preferred maintenance practice in WAU teaching hospital | 77 | 56 | 24 | 22 | 16 | 2.97 | 1.59 | |||
| pro-active maintenance being the process of maintaining the exact part of the device that had failed to operate is the most preferred maintenance practice in WAU teaching hospital | 77 | 53 | 18 | 33 | 14 | 2.20 | 1.29 | |||
| Grand mean for Medical equipment maintenance practice | 2.113 | |||||||||
aWhere 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree 5 = Strongly Agree
Table (10) located at the end of the document, the overall grand mean value of factors influencing medical equipment maintenance practices was 3.61, and it can be interpreted that all the identified factors were influential factors, as the weighted average mean value as well as the individual factor mean value fall between a mean ranges of 3.40–4.19.
Table 10.
Descriptive statistics under objective two (2), factors influencing medical equipment maintenance practices
| Item: Factors influencing medical equipment maintenance practices | Scalea | Mean | Std. Dev. |
||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| Resources Related factors (such as lack of adequate human resource, Physical infrastructure) affects medical equipment maintenance practices | 41 | 14 | 14 | 54 | 72 | 3.52 | 1.55 |
| Lack of training to the equipment operators affects medical equipment maintenance practices | 31 | 22 | 12 | 55 | 75 | 3.62 | 1.48 |
| Documentation/Information bank factors (such as Local and global policies, Standard operating procedure, Lack of inventory and Languages Barrier) affects medical equipment maintenance practices | 23 | 27 | 13 | 56 | 76 | 3.53 | 1.48 |
| Miss- appropriateness factors (such as Lack of frequent cleaning and Use of device by a person not skilful) affects medical equipment maintenance practices | 32 | 22 | 22 | 48 | 71 | 3.69 | 1.41 |
| Planning and Action factors (such as Procurement determination policy to access medical equipment and Culture of managers to decision-making) affects medical equipment maintenance practices | 32 | 22 | 22 | 48 | 71 | 3.57 | 1.42 |
| Infrastructure factors (such as Narrow space and Power disruption) affects medical equipment maintenance practices | 30 | 16 | 26 | 58 | 65 | 3.71 | 1.43 |
| Quality and Safety factors (such as Testing the device commissioning and Adjustment and calibration) affects medical equipment maintenance practices | 26 | 24 | 8 | 60 | 77 | 3.68 | 1.34 |
| Grand mean of factors influencing medical equipment maintenance practices | 3.61 | ||||||
aWhere 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree 5 = Strongly Agree
Source: Own survey, 2022
Table (11) situated at the end of the document, the overall grand mean value of Root causes of medical equipment maintenance failures was 3.565, and it can be interpreted as identified factors found to be influential factors, as the weighted average mean value falls between mean range of 3.40 and 4.19.
Table 11.
Showed descriptive statistics under objective three (3), Root causes of medical equipment maintenance failures
| Item: Root causes of medical equipment maintenance failures | Scalea | Mean | Std. Dev. |
||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| Improper storage and transportation is major root cause for medical equipment maintenance failures | 29 | 21 | 15 | 62 | 68 | 3.61 | 1.43 |
| Initial failure is major root cause for medical equipment maintenance failures | 29 | 22 | 20 | 71 | 53 | 3.50 | 1.39 |
| Inappropriate handling is major root cause for medical equipment maintenance failures | 29 | 16 | 13 | 69 | 68 | 3.67 | 1.41 |
| Inadequate maintenance is major root cause for medical equipment maintenance failures | 27 | 16 | 10 | 69 | 73 | 3.74 | 1.39 |
| Environmental stress is major root cause for medical equipment maintenance failures | 35 | 25 | 19 | 58 | 58 | 3.41 | 1.48 |
| Random failure is major root cause for medical equipment maintenance failures | 27 | 20 | 25 | 60 | 63 | 3.57 | 1.39 |
| Inappropriate repair technique is major root cause for medical equipment maintenance failures | 31 | 12 | 16 | 69 | 67 | 3.66 | 1.41 |
| Wear-out failure is major root cause for medical equipment maintenance failures | 35 | 20 | 24 | 58 | 58 | 3.43 | 1.46 |
| poor maintenance culture is major root cause for medical equipment maintenance failures | 42 | 16 | 13 | 54 | 70 | 3.48 | 1.56 |
| lack of highly trained technicians is major root cause for medical equipment maintenance failures | 41 | 16 | 11 | 43 | 84 | 3.58 | 1.59 |
| Grand mean of Root causes of medical equipment maintenance failures | 3.565 | ||||||
aWhere 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree 5 = Strongly Agree
Source: Own survey, 2022
Desk review
In the current study, there was a lack of available papers on medical device maintenance process and a scarcity of local and global policies and protocols in the Wau Teaching Hospital.
The observation checklist was carried out, in which head of equipment operator was interviewed. The results are shown in (Table 2) at the end of document.
Positionality
The principal investigator was complete aware about the situation in the hospital; he has noticed that; there was no biomedical engineering department and no biomedical engineering experts in the hospital; and most of the equipment observed was not functioning and the reason behind that remains unclear.
The results
Response rate
The study had a total sample size of 212; only 195 (92%) questionnaires were completed, 12 (6%) were incomplete, and 5 (2%) were not retrieved. A total of 195 questionnaires were analyzed using SPSS version Twenty-Three (23). The Five (5) Likert scale template was used for the data collection, whereby the respondents were asked to tick an appropriate statement: strongly disagree, disagree, neutral, agree, and strongly agree.
Demographic profile of the respondent
Based on this research, there were more females (108,55.4%) than males, and study covered most of the age group ranging between 36 and 40 years and above (41,21%). While observing their occupation, the study indicated that most of the respondents who participated proficiently were nurses (140,72%) rather than any other professional located at the end of the document (Table 1). The study showed that most of the respondents were in standard stage with good experiences. Thus, the study went further to educational background, and the findings were that most of the respondents (88,45%) who participated had a Diploma degree. With regard to marital status, (150,77%) were married, while on working experience research specified that most of the respondents had more than 20 years of experience (72,40%). The descriptive statistics are shown in (Tables 8, 10 and 11) situated at the end of the document.
Health care apparatus repairs exercise
In the present study, it was found that maintenance practices are outsourced to a third-party logistics company, corrective maintenance is the main practice observed, lack of biomedical engineering and highly trained technicians, lack of a designated area to repair medical devices, lack of documentation and information about the medical devices and lack of periodical inspection and prevention.
Factors influencing medical equipment maintenance practice
In the current study, the majority of respondents strongly agreed that lack of biomedical engineering, scarcity of funding support, lack of training for equipment operators, lack of documentation and information, inappropriateness of medical devices, lack of planning and action by top management, lack of a place designated to maintain equipment, and lack of quality and safety practices such as testing and calibration are the major growing factors affecting medical equipment maintenance practices in Wau Teaching Hospital. The study also documented that most of the donated equipment to the hospital was lying unused because the implementing partner supporting the hospital hired a consultant to operate the devices, and upon completion of the project, the equipment remained unused. Comparing these results to the other world, there were some cornerstones on which they built. In the current study, it was documented that patients were seeking treatment further in nearby countries and that they incurred enormous cost for the treatment.
Root causes of medical equipment maintenance failures
In the current study, there was no single biomedical engineer, no periodic inspection of medical devices, lack of equipment spare parts in Wau Teaching Hospital.
Discussion
Health care apparatus repairs exercise
In the present study, it was found that maintenance practices are outsourced to a third-party logistics company, corrective maintenance is the main practice observed, lack of biomedical engineering and highly trained technicians, lack of a designated area to repair medical devices, lack of documentation and information about the medical devices and lack of periodical inspection and prevention.
In a study conducted in Canada [1], almost all service delivery units used their manufacturers’ guiding manuals to maintain their medical instruments, and the hospital outsourced maintenance services to a third-party logistics company. In this current study, maintenance practices were outsourced to a third-party logistics company, and corrective maintenance is the main practice observed when medical equipment breaks down due to a lack of biomedical engineering and language barriers for the equipment operators, which have contributed to the inability to maintain the devices.
In Malaysia, five maintenance practices were noted (preventive, proactive, corrective predictive, and breakdown maintenance), and the most commonly used practices were preventive and breakdown maintenance [9].
In this study, preventive, predictive, and proactive maintenance practices were rarely implemented in the hospital, due to a complete lack of biomedical engineering, highly trained technicians, and a lack of a designated area to repair medical devices; rather, medical equipment was being maintained where it was located. This has shown that Wau Teaching Hospital is still far behind. The repair of healthcare devices is essential for lowering output costs, decreasing client frustration, treating clients on time, and hence decreasing complications, mortality, and danger during service delivery [10].
In this study, the repair process was outsourced to a third-party logistics company, which incurs enormous costs for the institution. On the other hand, treatment was delay, which was also risky for patients.
A study conducted in Iran found that two practices, corrective and preventive maintenance, were used [2].
In the present study, corrective maintenance was the only repair practice seen in the hospital. The majority of the respondents pointed out that, for effective maintenance practices, there should be a guiding policy, standard operating procedure, adequate space and biomedical engineering; in fact, these are not being observed in the hospital. In the present study, the situation is of great concern since no single document was seen during desk review.
Factors influencing medical equipment maintenance practice
A study conducted in Kenya found out that most of the factors that affect medical equipment maintenance practices were a lack of preventive maintenance plans, inadequate inventory documentation and a shortage of spare parts [3]. One study showed that most of the factors affecting medical equipment maintenance practice were limited to qualified human resources, irregularity in servicing medical devices and workload on a limited number of pieces of equipment [11].
A study revealed that, factors that lead to ineffective performance of medical equipment maintenance practices were linked to qualified candidates to operate the machine, inadequate infrastructure, limited knowledge about the devices and lack of individual accountability [12].
In the current study, the majority of respondents strongly agreed that lack of biomedical engineering, scarcity of funding support, lack of training for equipment operators, lack of documentation and information, inappropriateness of medical devicesn, lack of planning and action by top management, lack of a place designated to maintain equipment, and lack of quality and safety practices such as testing and calibration are the major growing factors affecting medical equipment maintenance practices in Wau Teaching Hospital. The study also documented that most of the donated equipment to the hospital was lying unused because the implementing partner supporting the hospital hired a consultant to operate the devices, and upon completion of the project, the equipment remained unused. Comparing these results to the other world, there were some cornerstones on which they built. In the current study, it was documented that patients were seeking treatment further in nearby countries and that they incurred enormous cost for the treatment.
Root causes of medical equipment maintenance failures
In a study carried out by the WHO, it was revealed that 80% of health care instrument failures occurred due to preventable factors, 60% occurred due to inadequate repair, and approximately 20% occurred due to inappropriate handling [12]. In Ghana, it was found that the causes of the health care instrument were attributed to improper storage, transportation, insufficient upkeep of the devices, environmental diversity failure at random, an incorrect repair process, failure due to wear out of the devices, and a limited number of highly trained and skilled personnel [12].
In the current study, the situation was similar and even more complex compared to the study carried out in Ghana. All the root causes of medical equipment maintenance failures looked the same, but there was a limited number of skilled personnel in the study conducted in Ghana. On the other hand, there was no single biomedical engineer in Wau Teaching Hospital, which has raised an alarming situation of great need in Wau Teaching Hospital compared to the study conducted in Ghana.
Best practice for medical equipment maintenance planning interventions for medical equipment failures
The World Health Organization recommends the introduction of Computerized Maintenance Management System software. The software is very important in keeping information about the devices, tracking previous records, and assisting in scheduling inspection prevention maintenance dates [13]. Equipment donation should conform to country policy and is the best practice to avoid equipment failure and damping [14].
The best practices were also seen in Ghanaian hospitals, where effective maintenance records were established to track all maintenance activities [12]. The researcher also agreed with the five maintenance practices seen in Malaysia: such as preventive, proactive, corrective, predictive, and breakdown maintenance. These will enhance service delivery by prolonging the life of the equipment and saving management money.
In this current study, since the hospital does not own the maintenance practices on the ground but rather depends on the donor’s expertise to repair the medical devices, it is of great concern that the hospital avails resources such as biomedical engineers who will be concerned with equipment, infrastructure to ensure adequate space and ventilation, financing, and adopting local and global policies and protocols. At the current level of Wau Teaching Hospital, inspection-preventive and corrective maintenance should be adopted as the starting best practices.
Limitations of the study
The scarcity of access to full texts of medical equipment maintenance practice articles published in South Sudan. Some participants refused to cooperate because they feared jeopardizing the confidentiality of the information they provided.
Conclusion
The findings showed that medical equipment maintenance practice was a weekly practice; factors influencing medical equipment maintenance practice and the root causes of medical equipment maintenance failure were identified as influential factors. Corrective maintenance and outsourcing were the main maintenance practices observed, lack of biomedical personnel, inadequate information about devices, lack of periodical inspection and prevention, design and implementation and inappropriate of medical equipment.
Recommendations
Medical equipment maintenance practice
For effective maintenance practices, the Ministry of Health, donors and hospitals have to avail themselves of resources particularly biomedical engineering, financial allocation and the establishment of an infrastructure mandated to repair medical equipment, and long and short term capacity building in the field of biomedical engineering. The treating institution has to adopt the best practices of inspection and prevention maintenance which will allow the managers to detect any defect and allow the institution to plan early for repair or replacement of the device, and the practices will lead to a long life span of the equipment.
Factors influencing medical equipment maintenance practice
It is recommended that the Ministry of Health has to plan, forecast and procure of medical equipment which should be based on the need and expertise in the treating institution. The Ministry of Health has to formulate policies, protocols and standard operating procedures in the area of equipment maintenance processes and cascade them down as guiding principles to the tiers. The Ministry of Health has to introduce computer database and that will help managers store and retrieve information quickly about medical devices. Moreover. The MOH has to adopt inspection- prevention maintenance and will allow fault detection and quick management decisions to either repair and replace the device. Hospital must adopt the WHO recommendation to introduce a computer database for storing and easily retrieving information about medical equipment maintenance practices.
Acknowledgements
The authors of this paper gratefully acknowledge the funding of the Masters of Health Supply Chain Management by the German Federal Ministry for Economic Cooperation and Development (BMZ) through KfW Development Bank and the East African Community Regional Center of Excellence for Vaccines, Immunization, and Health Supply Chain Management. In addition, this research would not have been possible without the assistance of the College of Medicine and Health Sciences, University of Rwanda. I do register my thanks for health professional at Wau Teaching Hospital who have participated in this study.
Abbreviations
- HPF
Health Pooled Fund
- HIMP
Healthcare Instrument Maintenance Practice
- MEMP
Medical Equipment Maintenance Practice
- SMOH
State Ministry of Health
- MOH
Ministry of Health
- SOP
Standard Operating Procedure
- WHO
World Health Organization
- W.T.H
Wau Teaching Hospital
Authors’ contributions
1. NM: Have initiate the proposal planning, writing, involve in data collection and analysis. 2. MM & SM: Involved in the planning and study writing procedure. 3. MN and SM have contributed in to manuscript writing procedure.
Funding
No funding was given for this research.
Data availability
The data sets used in this study can be accessed from the corresponding author.
Declarations
Ethics approval and consent to participate
Ethical approval No. MOH/RERB 60/2022 of this study was obtained from the National Ministry of Research Ethical Review Board, Juba South Sudan. The health facility respondents agreed to participate in the study by signing the informed consent forms. The respondents were assured that the information they were given would be treated as confidential.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Jamshidi AAbbasgholizadeh Rahimi, SamiraAit-Kadi, Daoud, Ruiz A. Medical Devices Inspection and Maintenance; a literature Review. Canada: IIE Annual Conference and Expo; 2014. p. 3895–3904.
- 2.Bahreini R, Doshmangir L, Imani A. Influential factors on Medical Equipment Maintenance Management: in search of a framework. J Qual Maintenance Eng. 2019;25. 10.1108/JQME-11-2017-0082.
- 3.Mutia D, Kihiu J, Maranga S. Maintenance Manage Med Equip Hosp. 2012;2(3):88.
- 4.Al-Bashir A, Al-Tawarah A, Abdul Jawwad AK. Downtime Reduction on Medical Equipment Maintenance at the Directorate of Biomedical Engineering in the Jordanian MOH. International Journal of Online Engineering (iJOE). 2017;13(02):4. 10.3991/ijoe.v13i02.6422
- 5.Arab-Zozani M, Imani A, Doshmangir L, Dalal K, Bahreini R. Assessment of Medical Equipment Maintenance Management: proposed checklist using Iranian experience. Biomed Eng Online. 2021;20(1). [DOI] [PMC free article] [PubMed]
- 6.Malkin RA. Barriers for medical devices for the developing world. Expert Rev Med Dev. 2007;4(6):759–63. 10.1586/17434440.4.6.759 [DOI] [PubMed]
- 7.Stephanie E. Slovin’s Formula Sampling Techniques. Silencing. 2020;(2020):1–3. https://sciencing.com/slovins-formula-sampling-techniques-5475547.html
- 8.Alex S. Chapter 17: exploratory factor analysis. In pp. 1–36.
- 9.Rani NAA, Baharum MR, Akbar ARN, Nawawi AH, Perception of Maintenance Management Strategy on Healthcare Facilities. Procedia - Soc Behav Sci. 2015;170:272–81. 10.1016/j.sbspro.2015.01.037
- 10.Mwanza BG, Mbohwa C. An Assessment of the Effectiveness of Equipment Maintenance Practices in Public Hospitals. Procedia Manuf. 2015;4(Iess):307–14. 10.1016/j.promfg.2015.11.045
- 11.Kurniawan PST, Ambarsari R. Medical Equipment Management: a Case Study from Wiyung Sejahtera Hospital in Surabaya. Indonesia. 2017;5(3):3–6. [Google Scholar]
- 12.Kutor JK, Agede P, Ali RH. Journal of Biomedical Engineering and Medical Devices Maintenance Practice. Causes Fail Risk Assess Diagn Med Equip. 2017;2(1):2–4. [Google Scholar]
- 13.WHO. Medical Equipment Maintenance Programme Overview WHO. Med Clin North Am. 2016;74(5):1113–20. [Google Scholar]
- 14.Evidence and Information for Policy (EIP). Guidelines For Health Care Equipment Donations. World Heath Organ. 2000;(March):1–30. https://www.who.int/hac/techguidance/pht/1_equipmentdonationbuletin82WHO.pdf?ua=1.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data sets used in this study can be accessed from the corresponding author.

