Abstract
Objective
This study was conducted to assess the magnitude and contributing factors of medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia.
Design
A hospital-based cross-sectional study design was employed. Data on medication administration and associated factors were collected using a structured self-administered questionnaire. Multivariable binary logistic regression analysis was done to identify factors associated with medication administration errors on the basis of adjusted OR with 95% CI and a p value less than 0.05.
Setting
This study was conducted in federal hospitals in Addis Ababa, Ethiopia.
Participants
Four hundred and twenty-three randomly selected nurses participated.
Outcome measures
The primary outcome variable is medication administration error, which was ascertained using the following errors: wrong medication, wrong dose, wrong time, wrong route, wrong patient, wrong drug preparation, wrong advice, wrong assessment and wrong documentations.
Results
A total of 59.9% (95% CI: 55.0% to 64.8%) of the nurses in the federal hospitals in Addis Ababa committed one or more medication administration errors in the last 12 months prior to the survey. The most commonly reported medication errors were wrong time (56.8%), wrong documentation (33.3%), wrong advice (27.8%) and wrong dose (20.1%). Medication administration errors among nurses were significantly associated with short work experience (adjusted OR (AOR): 6.48, 95% CI: 1.32 to 31.78), night shift work (AOR: 5.0, 95% CI: 1.82 to 13.78), absence of on-the-job training (AOR: 3.16, 95% CI: 1.67 to 6.00), unavailability of medication administration guidelines in wards (AOR: 2.07, 95% CI: 1.06 to 4.06) and interruptions during medication administration (AOR: 2.42, 95% CI: 1.30 to 4.49).
Conclusion
It was found that a high proportion of nurses in federal hospitals committed medication administration errors. Short work experience, night shift work, absence of on-the-job training, unavailability of medication administration guidelines and interruptions during medication administration explained the high magnitude of medication administration errors.
Keywords: Quality in health care, Health & safety, Infection control
STRENGTHS AND LIMITATIONS OF THIS STUDY.
This study used structured and pretested data collection, and the data collection was closely supervised to increase quality of data and completeness of the questionnaire.
Study subjects were selected at random using a systematic random sampling technique so that all nurses in the federal hospitals in Addis Ababa had an equal chance to be included in the study, and findings of this study will be generalisable.
As a limitation, the self-reported data may not be reliable since the study subjects may make the more socially acceptable answers rather than being truthful, and they may not be able to assess themselves accurately.
Introduction
Healthcare workers commit mistakes during the processes of ordering, prescribing, dispensing, preparing or administering medication.1–3 Medication administration errors are any preventable events that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the healthcare professionals, patients or consumers.1 4 Medication administration errors can occur through failures in any of the 10 rights of patients, which are right patient, right medication, right time, right dose, right route, right education/advice, right to refuse, right assessment, right evaluation/response and right documentation.5
Medication errors are remaining serious health problems in the developing and developed countries. Globally, medication errors are the leading causes of different injuries and avoidable harms in the healthcare system attributing to about 10% of the overall preventable harms for hospitalised patients.6 Approximately 400 000 hospitalised patients experience some type of preventable harms each year, and medical errors in hospitals and clinics result in approximately 100 000 people dying each year.7 In east Africa, medication administration errors, with rates ranging from 9.4% to 80%, are the most common types of adverse events for hospital-admitted patients and the most frequent causes of preventable deaths.8
Medication errors are undoubtedly costly to patients, their families, their employers, and to hospitals, healthcare providers, and insurance companies. Patients are the primary victims of medication errors, and medication administration errors have a significant impact on patients in terms of morbidity, mortality, adverse drug events, additional costs and increased length of hospital stay.9 According to the 2017 WHO report, the annual global cost associated with medication errors has been estimated at US$42 billion, which accounts to 0.7% of the total health expenditures.10
Medication administration errors have multiple causes.11–13 Some of the factors documented in literature can be grouped into professional factors (such as poor competency, experience, lack of training on parenteral medication administration, lack of communication skills), organisational factors (such as illumination system, high patient flow, work load, high nurse-to-patient ratio), work-related factors (such as work load, relation with other coworkers), personal factors (such as health condition of nurses, fatigue, lack of initiative on clarifying doubts regarding the medicine) and medication-related factors (such as medications that require mixing diluents and calculation has a higher risk of error).14–16 However, these factors might be varied in different settings and contexts. Accordingly, this study was conducted to assess the magnitude and contributing factors of medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia.
Methods
Study design and setting
An institution-based cross-sectional study design was employed among nurses working in federal hospitals in Addis Ababa City from July to August 2021. Addis Ababa City has 42 hospitals (14 public and 28 private). Out of 14 public hospitals, 5 hospitals, namely Black Lion Specialized Hospital; St Paul’s Hospital; Addis Ababa Burn, Emergency and Trauma Hospital; St Pateros Hospital and Alert Hospital, are administered by the federal government.
Sample size determination and sampling procedures
The sample size was calculated using single population proportion formula with the following assumptions: prevalence of medication administration errors among nurses in Jimma University Specialized Hospital=51.8%,17 95% CI, 5% level of significance and 5% marginal error.
Considering a 10% non-response rate, the final sample size became 423. We first randomly selected three federal hospitals out of five to recruit the study subjects. We then randomly selected 157 nurses from Black Lion Specialized Hospital; 133 nurses from St Pateros Hospital; and 133 nurses from Addis Ababa Burn, Emergency and Trauma Hospital using a simple random sampling technique. The number of nurses recruited in each hospital was proportionally allocated. All nurses who had a minimum of diploma qualification, a minimum of 1-year work experience and who provided patient care were included in the study.
Measurement of outcome variable
Medication administration error was the primary outcome variable of this study. A nurse was included if he or she practised medication administration errors, or if he or she performed one or more of the following errors in the last 12 months prior to the survey: administering medications that were not on the patient’s medication chart (wrong medication), administering medications in wrong dose or quantity different from that of the standard dose (wrong dose), administering medications 30 min earlier or later from its scheduled time (wrong time), administering medications different from the recommended route of medication administration (wrong route), misidentification of patients during medication administration (wrong patient), formulating or manipulating drug products incorrectly before administration (wrong drug preparation), providing wrong medical information (wrong advice), wrong assessment of symptoms (wrong assessment), incorrectly or incompletely documenting administered medications (documentation error).17 18 We used the contextual, modal and psychological classifications to classify medication administration errors as Ferner and Aronson19 and Aronson20 discussed.
Data collection procedures
Data were collected using a self-administered structured and pretested questionnaire adopted from other published research works.21 The questionnaire was organised into four sections: the first section was sociodemographic characteristics of study participants, the second section was about work-related information, the third section was about medication errors and the fourth section was about contributing factors to medication errors. The questionnaire was pretested on 5% of the sample size prior to the actual data collection at a selected government hospital, which was not included in the study. Five trained diploma-holder nurses facilitated and supervised the data collection and checked the completeness of the questionnaire.
Data processing and analysis
Data were entered into Epi-Info V.7.2 epidemiological software and exported to SPSS V.20 for further analysis. Data were presented by frequencies and percentages for most variables. We included predictors to the multivariable binary logistic regression model from the literature regardless of their bivariate p value to identify factors associated with medication administration errors. Statistically significant associations were declared on the basis of adjusted OR (AOR) with 95% CI and a p value less than 0.05. Model fitness was checked using Hosmer and Lemeshow model fitness test.
Patient and public involvement
There was no patient or public involvement in the study.
Results
Sociodemographic characteristics of study participants
A total of 402 nurses participated in this study with a 95% response rate. Two hundred and forty-five (60.9%) of the respondents were female. The mean (±SD) age of the respondents was 27.8 (±4.36) years, and nearly half (192; 47.8%) of the respondents were aged between 25 and 29 years. Two hundred and fifty (62.2%) of the respondents were not married at the time of data collection. The vast majority (371; 92.3%) of the study participants were Bachelor of Science degree holders (table 1).
Table 1.
Sociodemographic characteristics of the study participants (n=402) in federal hospitals in Addis Ababa, Ethiopia, July–August 2021
Variables | Frequency | Percentage |
Sex | ||
Female | 245 | 60.9 |
Male | 157 | 39.1 |
Age | ||
20–24 years | 99 | 24.6 |
25–29 years | 192 | 47.8 |
30–34 years | 78 | 19.4 |
≥35 years | 33 | 8.2 |
Marital status | ||
Single | 250 | 62.2 |
Married | 141 | 35.1 |
Others* | 11 | 2.7 |
Educational status | ||
Diploma | 13 | 3.2 |
BSc degree | 371 | 92.3 |
MSc degree | 18 | 4.5 |
Diploma or degree awarded from | ||
Public universities or colleges | 321 | 79.9 |
Private universities or colleges | 81 | 20.1 |
*Others include divorced, widowed and separated.
BSc, Bachelor of Science; MSc, Master of Science.
Work-related characteristics
The vast majority (370; 92%) of the respondents had less than 10 years of work experience. One hundred and thirteen (28.1%) of the nurses worked in medical wards and 230 (57.2%) of the nurses worked in the current ward for at least 3 months. A quarter of the study participants (102; 25.1%) worked in alternative shifts, that is, day and night shifts. One hundred and sixty-two participants reported that the nurse-to-patient ratio in their ward was 1:10. Eighty-seven (21.6%) of the study participants reported that they took medication administration training and 220 (54.7%) reported that they have medication administration guidelines. Two hundred and forty-seven (61.4%) of the study participants reported that they faced interruptions while administering medication. Majority (292; 72.6%) of the study participants reported that they usually communicate with other nurses when faced with doubt during medication administration. Moreover, 66 (16.4%) of the nurses believed that reporting medication administration errors to a responsible body can minimise the frequency of committing medication administration errors (table 2).
Table 2.
Work-related characteristics of nurses in federal hospitals in Addis Ababa, Ethiopia, July–August 2021
Variables | Frequency | Per cent |
Work experience | ||
<10 years | 370 | 92.0 |
≥10 years | 32 | 8.0 |
Work unit | ||
Medical ward | 113 | 28.1 |
Surgical ward | 87 | 21.6 |
Paediatrics ward | 68 | 16.9 |
Emergency | 56 | 13.9 |
Obstetrics and gynaecology | 47 | 11.7 |
ICU | 20 | 5.1 |
OPD | 7 | 1.7 |
Others* | 4 | 0.9 |
Duration of stay in the present unit | ||
≤3 months | 230 | 57.2 |
4–5 months | 143 | 35.6 |
≥6 months | 29 | 7.2 |
Duty shift | ||
Day shift | 182 | 45.3 |
Night shift† | 118 | 29.4 |
Alternative shift | 102 | 25.1 |
Nurse-to-patient ratio in the ward | ||
1–6 | 97 | 24.2 |
7–10 | 143 | 35.6 |
>10 | 162 | 40.2 |
Take training in medication administration | ||
Yes | 87 | 21.6 |
No | 315 | 78.4 |
Have guideline for medication administration | ||
Yes | 220 | 54.7 |
No | 182 | 45.3 |
Faced interruptions during medication administration | ||
Yes | 247 | 61.4 |
No | 155 | 38.6 |
Communicate with other nurses when faced with doubt | ||
Yes | 292 | 72.6 |
No | 110 | 27.4 |
Reporting errors is important | ||
Yes | 66 | 16.4 |
No | 336 | 83.6 |
*Others include oncology ward and multidrug-resistant tuberculosis ward.
†Night shift lasts for 15 hours.
ICU, intensive care unit; OPD, outpatient department.
Medication administration errors
From the total study participants, 241 (59.9%) (95% CI: 55.0% to 64.8%) of them committed one or more medication administration errors in the last 12 months prior to the survey; of these, 81 (20%) committed medication administration error three or more times during the specified period (figure 1). The most commonly reported medication errors were wrong time (56.8%), wrong documentation (33.3%), wrong advice (27.8%) and wrong dose (20.1%) (figure 2), and the most commonly reported reasons for committing one or more medication administration errors were work load (84.6%), lack of sufficient training (81.7%), interruptions during medication administration (68.9%), lack of experience (67.2%), illegible handwriting by prescribers (64.7%) and failure to respect the 10 rights of patients (61.4%) (table 3).
Figure 1.
Frequency of medication administration errors in the last 12 months prior to the survey in federal hospitals in Addis Ababa, Ethiopia, July–August 2021.
Figure 2.
Types of medication administration errors the study participants committed in federal hospitals in Addis Ababa, Ethiopia, July–August 2021.
Table 3.
Reported reasons for committing one or more medication administration errors among nurses (n=241) in federal hospitals in Addis Ababa, Ethiopia, July–August 2021
Reasons for committing medication administration errors | Frequency n (%) |
Work load | 204 (84.6) |
Lack of sufficient training | 197 (81.7) |
Interruptions during medication administration | 166 (68.9) |
Lack of experience | 162 (67.2) |
Illegible handwriting by prescribers | 156 (64.7) |
Failure to respect the 10 rights of patients | 148 (61.4) |
Sound-alike drugs | 123 (51.0) |
Unclear verbal order | 120 (49.8) |
Wrong dispensing | 116 (48.1) |
Wrong prescription | 107 (44.4) |
Nurses write a prescription in place of physicians | 47 (19.5) |
Factors associated with medication administration errors
Table 4 illustrates that medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia were significantly associated with work experience, on-the-job training, availability of medication administration guidelines, interruptions during medication administration and work shift. Nurses who had 10 years or below work experience had higher odds of committing medication administration errors compared with nurses who had long work experience (AOR: 6.48, 95% CI: 1.32 to 31.78). The odds of committing medication administration errors were 5.0 times higher among nurses who worked in the night shift compared with nurses who worked in the day shift (AOR: 5.0, 95% CI: 1.82 to 13.78). Medication administration errors in the federal hospitals in Addis Ababa were statistically associated with on-the-job training of nurses (AOR: 3.16, 95% CI: 1.67 to 6.00). Moreover, unavailability of medication administration guidelines in the ward explained the 2.07 higher odds of medication administration errors among nurses (AOR: 2.07, 95% CI: 1.06 to 4.06). Additionally, the odds of medication administration errors were higher among nurses who faced interruptions during medication administration compared with nurses who did not face interruptions (AOR: 2.42, 95% CI: 1.30 to 4.49) (table 4).
Table 4.
Factors associated with medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia, July–August 2021
Variables | Medication administration errors | COR (95% CI) | AOR (95% CI) | |
Yes | No | |||
Age | ||||
20–24 years | 91 | 8 | 5.00 (2.00 to 12.49) | 0.57 (0.10 to 3.30) |
25–29 years | 118 | 74 | 2.87 (1.22 to 6.73) | 0.35 (0.06 to 1.95) |
30–34 years | 19 | 59 | 1.80 (0.62 to 5.35) | 0.41 (0.08 to 2.09) |
≥35 years | 13 | 20 | 1.0 | 1.0 |
Work experience | ||||
<10 years | 229 | 140 | 4.8 (2.15 to 10.85) | 6.48 (1.32 to 31.78)* |
≥10 years | 12 | 20 | 1.0 | 1.0 |
Duration of stay in the specific unit | ||||
≤3 months | 26 | 3 | 1.7 (0.66 to 4.34) | 1.57 (0.55 to 4.54) |
4–5 months | 17 | 126 | 0.54 (0.24 to 1.22) | 0.54 (0.20 to 1.48) |
≥6 months | 198 | 32 | 1.0 | 1.0 |
Work shift | ||||
Day shift | 67 | 115 | 1.0 | 1.0 |
Night shift | 86 | 32 | 10.40 (4.17 to 26.1) | 5.0 (1.82 to 13.78)** |
Alternate shift | 88 | 14 | 1.54 (0.9 to 2.66) | 1.47 (0.78 to 2.76) |
Take on-the-job training | ||||
Yes | 67 | 20 | 1.0 | 1.0 |
No | 174 | 141 | 3.9 (2.35 to 6.57) | 3.16 (1.67 to 6.00)*** |
Availability of guideline | ||||
Yes | 114 | 106 | 1.0 | 1.0 |
No | 127 | 55 | 3.1 (1.83 to 5.32) | 2.07 (1.06 to 4.06)* |
Faced interruptions | ||||
Yes | 147 | 100 | 2.46 (1.49 to 4.05) | 2.42 (1.3 to 4.49)** |
No | 94 | 61 | 1.0 | 1.0 |
Communicate with colleagues | ||||
Yes | 196 | 96 | 1.0 | 1.0 |
No | 45 | 65 | 1.96 (0.93 to 4.12) | 1.85 (0.72 to 4.77) |
Reporting errors is important | ||||
Yes | 47 | 19 | 1.0 | 1.0 |
No | 194 | 142 | 0.57 (0.27 to 1.67) | 0.68 (0.29 to 1.57) |
*Statistically significant at p<0.05, **significant at p<0.01, ***significant at p<0.001.
Hosmer and Lemeshow test=0.273.
AOR, adjusted OR; COR, crude OR.
Discussion
This hospital-based cross-sectional study was carried out to assess medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia and found that 59.9% (95% CI 55.0% to 64.8%) of the nurses committed one or more medication administration errors in the last 12 months prior to the survey. The magnitude of medication administration errors reported in the current study is comparable with findings of studies in Felege-Hiwot Referral Hospital (56.4%)9 and hospitals in Amhara regional state (57.7%).22 Moreover, the prevalence of medication administration errors reported in this study is lower than findings of studies in two public hospitals in southern Ethiopia (71%),23 Goba Referral Hospital (62.3%),24 tertiary care hospitals in Addis Ababa (68.1%),25 Iran Teaching Hospital (68.5%)26 and in Pakistan (81.9%).27 On the other hand, the result of this study is higher than findings of studies in Jimma University Specialized Hospital (51.8%),17 Accra Tertiary Hospital (27.2%),28 Ain Shames University Hospital in Egypt (37.7%),29 two Dutch hospitals (13.7%)30 and in Turkey (26.1%).31 This high magnitude of medication administration errors could imply that the quality of nursing care in relation to medication administration did not appear to be up to standard. The safety of the patient during medication administration was poorly maintained. This increased magnitude of medication administration errors is likely to result in harming the patients and may erode public trust in nursing care.
The high prevalence of medication administration errors in the current study might be explained by professional factors (such as poor competency, experience, lack of training on parenteral medication administration, lack of communication skills), organisational factors (such as illumination system, high patient flow, work load, high nurse-to-patient ratio), work-related factors (such as work load, relation with other coworkers), personal factors (such as health condition of nurses, fatigue, lack of initiative on clarifying doubts regarding the medicine) and medication-related factors (such as medications that require mixing diluents and calculation has a higher risk of errors).14–16
The current study revealed that medication administration errors among nurses were significantly associated with service year. The odds of committing medication administration errors were high among nurses who had short work experience, which is in agreement with other studies.9 14 Medication administration is one of the nursing practices and improved through experience. Nurses can improve their skill and gain greater knowledge on safe medication administration practice through experience. Moreover, experienced nurses are familiar with different medications and procedures.
It was found that medication administration errors were statistically associated with work shift. The odds of committing medication administration errors were higher among nurses who worked in the night shift compared with nurses who worked in the day shift. This finding is in line with findings of studies in Felege-Hiwot Referral Hospital, northwest Ethiopia and Ain Shams University Hospital, Egypt.9 29 32 33 Long hours of night shift disrupt the body’s circadian rhythms, or 24-hour internal ‘clock’ that controls sleep–wake cycles. This increases the risk of short sleep duration and sleep disturbances, which in turn increases risk of depression, fatigue and mood changes. Moreover, long night shift is linked to poorer working memory and slower mental processing speed. Due to this, long night shift increases the risk of workplace injury and committing medication administration errors.34–37
This study depicted that medication administration errors in the federal hospitals in Addis Ababa were statistically associated with on-the-job training. The odds of committing medication administration errors were high among nurses who did not take on-the-job training in medication administration. Implementing regular or scheduled training for all nurses in hospitals plays a role to improve and refresh their knowledge and skills. Training often has been referred to as teaching specific skills and behaviours. Training is the act of increasing the knowledge and skills of nurses for performing particular jobs; and when nurses learn new habits, refined skills and useful knowledge, they could improve their performance.33 38–40
Unavailability of medication administration guidelines in wards explained the higher odds of medication administration errors among nurses in the study area. This finding is in line with findings of other studies.22 29 41 Having medication administration guidelines and providing care based on guidelines together with a consistent reporting system could prevent 75% of the occurrence of harm to hospitalised patients. The availability of guidelines for medication administration may improve the quality of nursing care and reduce medication administration errors.8
This hospital-based cross-sectional study found that medication administration errors were significantly associated with interruptions during medication administration. The odds of medication administration errors were higher among nurses who faced interruptions during medication administration compared with nurses who did not face interruptions, which is in agreement with findings of other studies.42–44 Studies revealed that work interruptions during medication administration rounds are thought to be a prominent factor in medication errors that account for up to 43% of medication errors.43 45 Nurses must remain attentive and focused when performing activities that require concentration to avoid distractions and errors. Reducing the occurrence of disruptions can improve the quality of services and helps both patients and nurses. An interruption is an unexpected disturbance that destroys the continuity of care, diverts attention and increases the time required to perform activities, reduces work efficiency, and increases negligence and human errors. This adversely affects the quality of care and patient safety.46–48
As limitations, the self-reported data may not be reliable since the study subjects may make the more socially acceptable answers rather than being truthful, and they may not be able to assess themselves accurately, which might result in reporting bias. The study might be also affected by recall bias since we asked nurses to recall medication administration errors happening in 12 months prior to the survey. The generalisability of results might be affected due to theses biases. Moreover, we did not inform the participants about the type of medication errors they committed since we used a self-administered questionnaire.
Conclusion
It was found that a high proportion of nurses in federal hospitals in Addis Ababa, Ethiopia committed one or more medication administration errors, and medication administration errors among nurses were explained by lack of work experience, night shift work, absence of on-the-job training, unavailability of medication administration guidelines and interruptions during medication administration. Developing appropriate medication guidelines, providing continuous on-the-job training, minimising distractions during medication administration and retaining experienced nurses would be helpful for minimising medication administration errors in the area.
Supplementary Material
Acknowledgments
The authors are pleased to acknowledge Addis Ababa Medical and Business College, study participants, managers of federal hospitals included in this study and data collection facilitators for their contribution to the study.
Footnotes
Contributors: TM designed the study, facilitated data collection and conducted data analysis. SM, BG, ZNM and ZG supervised data collection and analysis and contributed to conceptualising the study. ZG prepared the manuscript and acting as a guarantor. All authors approved the final version of the manuscript.
Funding: The cost of data collection tools and data collectors’ fee was covered by the principal investigator, that is, TM.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement
Data are available upon reasonable request. Individual participant data after deidentification that underlie the results reported in this article will be made available upon requesting the primary author immediately following publication.
Ethics statements
Patient consent for publication
Not required.
Ethics approval
This study involves human participants and was approved by the Institutional Review Board of Addis Ababa Medical and Business College (reference number: AAMBC/STU/11340/13). There were no risks due to participation and the collected data were used only for this research purpose with complete confidentiality, and privacy of the study subjects was assured. Written informed consent was obtained from the study subjects. All the methods were carried out in accordance with relevant guidelines and regulations.
References
- 1.Veselik Z. Personalised, predictive and preventive medication process in hospitals—still rather missing: professional opinion survey on medication safety in Czech hospitals (based on professional opinions of recognised Czech health care experts). Epma J 2014;5:1–13. 10.1186/1878-5085-5-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Yousef AM, Abu-Farha RK, Abu-Hammour KM. Detection of medication administration errors at a tertiary hospital using a direct observation approach. J Taibah Univ Med Sci 2022;17:433–40. 10.1016/j.jtumed.2021.08.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tariq RA, Vashisht R, Sinha A. Medication dispensing errors and prevention. In: StatPearls. Treasure Island (FL): StatPearls Publishing, 2022. https://www.ncbi.nlm.nih.gov/books/NBK519065/ [PubMed] [Google Scholar]
- 4.Polnariev A. The medication error prioritization system (MEPS): a novel tool in medication safety. P T 2014;39:443–7. [PMC free article] [PubMed] [Google Scholar]
- 5.Edwards S, Axe S. The 10 ‘R’s of safe multidisciplinary drug administration. Nurse Prescribing 2015;13:398–406. 10.12968/npre.2015.13.8.398 [DOI] [Google Scholar]
- 6.Mekonnen AB, Alhawassi TM, McLachlan AJ, et al. Adverse drug events and medication errors in African hospitals: a systematic review. Drugs Real World Outcomes 2018;5:1–24. 10.1007/s40801-017-0125-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rodziewicz TL, Houseman B, Hipskind JE. Medical error reduction and prevention. In: StatPearls. Treasure Island (FL): StatPearls Publishing, 2022. https://www.ncbi.nlm.nih.gov/books/NBK499956/ [PubMed] [Google Scholar]
- 8.Wensing M, Grol R, Grimshaw J. Improving patient care: the implementation of change in health care: John Wiley & Sons, 2020. Available: https://www.wiley.com/en-us/Improving+Patient+Care%3A+The+Implementation+of+Change+in+Health+Care%2C+3rd+Edition-p-9781119488606
- 9.Feleke SA, Mulatu MA, Yesmaw YS. Medication administration error: magnitude and associated factors among nurses in Ethiopia. BMC Nurs 2015;14:1–8. 10.1186/s12912-015-0099-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.World Health Organization (WHO) . Medication without harm. Available: https://www.who.int/initiatives/medication-without-harm [Accessed 26 Oct 2022].
- 11.Ojerinde AC, Adejumo PO. Factors associated with medication errors among health workers in University College Hospital, Nigeria. IOSRJNHS 2014;3:22–33. 10.9790/1959-03342233 [DOI] [Google Scholar]
- 12.Ayuk Agbor G. A literature review of medication errors in the United States of America. Available: https://www.theseus.fi/bitstream/handle/10024/112736/Ayuk%20Agbor_Gregory.pdf?sequence=1
- 13.Kim KS, Kwon S-H, Kim J-A, et al. Nurses' perceptions of medication errors and their contributing factors in South Korea. J Nurs Manag 2011;19:346–53. 10.1111/j.1365-2834.2011.01249.x [DOI] [PubMed] [Google Scholar]
- 14.Dumo AMB. Factors affecting medication errors among staff nurses: basis in the formulation of medication information guide. iamure.ijhe 2012;1:88–149. 10.7718/iamure.ijhe.v1i1.210 [DOI] [Google Scholar]
- 15.Anderson P, Townsend T. Medication errors: Don’t let them happen to you. American nurse today 2010;5:23–8. [Google Scholar]
- 16.Brady A-M, Malone A-M, Fleming S. A literature review of the individual and systems factors that contribute to medication errors in nursing practice. J Nurs Manag 2009;17:679–97. 10.1111/j.1365-2834.2009.00995.x [DOI] [PubMed] [Google Scholar]
- 17.Agalu A, Ayele Y, Bedada W, et al. Medication administration errors in an intensive care unit in Ethiopia. Int Arch Med 2012;5:15–16. 10.1186/1755-7682-5-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Baraki Z, Abay M, Tsegay L, et al. Medication administration error and contributing factors among pediatric inpatient in public hospitals of Tigray, Northern Ethiopia. BMC Pediatr 2018;18:1–8. 10.1186/s12887-018-1294-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ferner RE, Aronson JK. Clarification of terminology in medication errors. Drug Saf 2006;29:1011–22. 10.2165/00002018-200629110-00001 [DOI] [PubMed] [Google Scholar]
- 20.Aronson JK. Medication errors: definitions and classification. Br J Clin Pharmacol 2009;67:599–604. 10.1111/j.1365-2125.2009.03415.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Mansouri A, Ahmadvand A, Hadjibabaie M, et al. Types and severity of medication errors in Iran; a review of the current literature. Daru 2013;21:1–10. 10.1186/2008-2231-21-49 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tsegaye D, Alem G, Tessema Z, et al. Medication administration errors and associated factors among nurses. Int J Gen Med 2020;13:1621–32. 10.2147/IJGM.S289452 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Alemu W, Belachew T, Yimam I. Medication administration errors and contributing factors: a cross sectional study in two public hospitals in southern Ethiopia. Int J Afr Nurs Sci 2017;7:68–74. 10.1016/j.ijans.2017.09.001 [DOI] [Google Scholar]
- 24.Haile HF, Takele AM, Abdi AG. Magnitude of medication administration error and associated factors among nurses working in Madda Walabu university Goba referral Hospital, bale zone Oromia region, Southeast Ethiopia. Int J Public Health Epidemiol 2020;2. [Google Scholar]
- 25.Wondmieneh A, Alemu W, Tadele N, et al. Medication administration errors and contributing factors among nurses: a cross sectional study in tertiary hospitals, Addis Ababa, Ethiopia. BMC Nurs 2020;19:1–9. 10.1186/s12912-020-0397-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fathi A, Hajizadeh M, Moradi K, et al. Medication errors among nurses in teaching hospitals in the West of Iran: what we need to know about prevalence, types, and barriers to reporting. Epidemiol Health 2017;39:e2017022. 10.4178/epih.e2017022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Raja B, Kumar P, Ali S. Medication administration errors: a study of frequency and contributing factors among nurses working at tertiary care hospitals. Isra Med J 2020;12. [Google Scholar]
- 28.Acheampong F, Tetteh AR, Anto BP. Medication administration errors in an adult emergency department of a tertiary health care facility in Ghana. J Patient Saf 2016;12:223–8. 10.1097/PTS.0000000000000105 [DOI] [PubMed] [Google Scholar]
- 29.al Tehewy M, Fahim H, Gad NI, et al. Medication administration errors in a university hospital. J Patient Saf 2016;12:34–9. 10.1097/PTS.0000000000000196 [DOI] [PubMed] [Google Scholar]
- 30.Jessurun JG, Hunfeld NGM, Roo M, et al. Prevalence and determinants of medication administration errors in clinical wards: a two‐centre prospective observational study. J Clin Nurs 2022;47:1–13. 10.1111/jocn.16215 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Bişkin Çetin S, Cebeci F. Perceptions of clinical nurses about the causes of medication administration errors: a cross-sectional study. Florence Nightingale J Nurs 2021;29:56–64. 10.5152/FNJN.2021.19135 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Di Muzio M, Dionisi S, Di Simone E, et al. Can nurses' shift work jeopardize the patient safety? A systematic review. Eur Rev Med Pharmacol Sci 2019;23:4507–19. 10.26355/eurrev_201905_17963 [DOI] [PubMed] [Google Scholar]
- 33.Wondmieneh A, Alemu W, Tadele N, et al. Medication administration errors and contributing factors among nurses: a cross sectional study in tertiary hospitals, Addis Ababa, Ethiopia. BMC Nurs 2020;19:4. 10.1186/s12912-020-0397-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Books C, Coody LC, Kauffman R, et al. Night shift work and its health effects on nurses. Health Care Manag 2020;39:122–7. 10.1097/HCM.0000000000000297 [DOI] [PubMed] [Google Scholar]
- 35.Ferri P, Guadi M, Marcheselli L, et al. The impact of shift work on the psychological and physical health of nurses in a general Hospital: a comparison between rotating night shifts and day shifts. Risk Manag Healthc Policy 2016;9:203–11. 10.2147/RMHP.S115326 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Giorgi F, Mattei A, Notarnicola I, et al. Can sleep quality and burnout affect the job performance of shift-work nurses? a hospital cross-sectional study. J Adv Nurs 2018;74:698–708. 10.1111/jan.13484 [DOI] [PubMed] [Google Scholar]
- 37.Siqueria K, Griep R, Rotenberg L, et al. Weight gain and body mass index following change from daytime to night shift - a panel study with nursing professionals. Chronobiol Int 2016;33:776–9. 10.3109/07420528.2016.1167719 [DOI] [PubMed] [Google Scholar]
- 38.Lyon JC. Shared staff development in the service setting: a model for success. J Contin Educ Nurs 1988;19:248–51. 10.3928/0022-0124-19881101-05 [DOI] [PubMed] [Google Scholar]
- 39.Abbasinazari M, Zareh-Toranposhti S, Hassani A, et al. The effect of information provision on reduction of errors in intravenous drug preparation and administration by nurses in ICU and surgical wards. Acta Med Iran 2012;50:771–7. [PubMed] [Google Scholar]
- 40.Bull ER, Mason C, Junior FD, et al. Developing nurse medication safety training in a health partnership in Mozambique using behavioural science. Global Health 2017;13:45. 10.1186/s12992-017-0265-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Nkurunziza A, Chironda G, Mukeshimana M, et al. Factors contributing to medication administration errors and barriers to self-reporting among nurses: a review of literature. Rwanda J Med Heal Sci 2019;2:294–303. 10.4314/rjmhs.v2i3.14 [DOI] [Google Scholar]
- 42.Wang W, Jin L, Zhao X, et al. Current status and influencing factors of nursing interruption events. Am J Manag Care 2021;27:e188–94. 10.37765/ajmc.2021.88667 [DOI] [PubMed] [Google Scholar]
- 43.Getnet MA, Bifftu BB. Work interruption experienced by nurses during medication administration process and associated factors, Northwest Ethiopia. Nurs Res Pract 2017;2017:1–7. 10.1155/2017/8937490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Berdot S, Vilfaillot A, Bezie Y, et al. Effectiveness of a ‘do not interrupt’ vest intervention to reduce medication errors during medication administration: a multicenter cluster randomized controlled trial. BMC Nurs 2021;20:1–11. 10.1186/s12912-021-00671-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Biron AD, Loiselle CG, Lavoie-Tremblay M. Work interruptions and their contribution to medication administration errors: an evidence review. Worldviews Evid Based Nurs 2009;6:70–86. 10.1111/j.1741-6787.2009.00151.x [DOI] [PubMed] [Google Scholar]
- 46.McGillis Hall L, Pedersen C, Fairley L. Losing the moment: understanding interruptions to nurses' work. J Nurs Adm 2010;40:169–76. 10.1097/NNA.0b013e3181d41162 [DOI] [PubMed] [Google Scholar]
- 47.D'antonio S, Bagnasco A, Bonetti L. Work interruption: indagine in due reparti chirurgici di un ospedale ligure sulle interruzioni a cui Gli infermieri sono sottoposti durante le attivití assistenziali. Professioni Infermieristiche 2014;67. [DOI] [PubMed] [Google Scholar]
- 48.Johnson M, Sanchez P, Langdon R, et al. The impact of interruptions on medication errors in hospitals: an observational study of nurses. J Nurs Manag 2017;25:498–507. 10.1111/jonm.12486 [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
Data are available upon reasonable request. Individual participant data after deidentification that underlie the results reported in this article will be made available upon requesting the primary author immediately following publication.