<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJN</journal-id><journal-title-group><journal-title>Open Journal of Nursing</journal-title></journal-title-group><issn pub-type="epub">2162-5336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojn.2024.142006</article-id><article-id pub-id-type="publisher-id">OJN-132137</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Medication Administration Errors among Nurses and Midwives in Ghana
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rita</surname><given-names>Opoku-Danso</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vera</surname><given-names>Love Otoo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Christiana</surname><given-names>Asiedu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Adult Health Nursing, School of Nursing and Midwifery, University of Cape Coast, Cape Coast, Ghana</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>03</month><year>2024</year></pub-date><volume>14</volume><issue>02</issue><fpage>77</fpage><lpage>92</lpage><history><date date-type="received"><day>10,</day>	<month>March</month>	<year>2023</year></date><date date-type="rev-recd"><day>27,</day>	<month>March</month>	<year>2023</year>	</date><date date-type="accepted"><day>29,</day>	<month>February</month>	<year>2024</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   Errors in the administration of medications are a prevalent issue among patients worldwide. The study looked at medication administration errors made by midwives and nurses in Ghana. A cross-sectional design was employed in conjunction with the quantitative method to conduct the investigation. A census sample was used to choose 231 nurses and midwives for the study. Descriptive statistics were used for the analysis. A combination of factors led to medication errors, and the majority of nurses and midwives reported experiencing medication errors twice in their professional practice. The study also found that the majority of respondents were female, between the ages of 25 and 29; they held a diploma; and they had worked for five years or less on the unit or department where the nurses and midwives were engaged. Regarding nurse-related factors, the majority of respondents concurred that psychological and mental health issues, drug unfamiliarity, and a general sense of hopelessness and disinterest in the nursing profession are all potential causes of medication errors. The study suggests that nurses and midwives receive more intensive education on medication errors.  
 
</p></abstract><kwd-group><kwd>Ghana</kwd><kwd> Medication Errors</kwd><kwd> Midwives</kwd><kwd> Nurses</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Medication errors are a common patient problem in many countries, and they are frequently caused by a lack of collaborative communication among health professionals such as doctors, chemists, and nurses [<xref ref-type="bibr" rid="scirp.132137-ref1">1</xref>] . Patient safety is rapidly being introduced into nursing courses based on real-world health care [<xref ref-type="bibr" rid="scirp.132137-ref1">1</xref>] . According to [<xref ref-type="bibr" rid="scirp.132137-ref2">2</xref>] , nurses play a critical role in minimising medication errors and dispensing safe medications. Similarly, [<xref ref-type="bibr" rid="scirp.132137-ref3">3</xref>] recommend that nurses acquire adequate medication safety competencies before giving care because they are still at risk of making pharmaceutical errors, particularly in clinical practice. Medication delivery errors can result in patient mortality, lengthy hospital stays, and unfavourable consequences on nurses [<xref ref-type="bibr" rid="scirp.132137-ref4">4</xref>] . According to [<xref ref-type="bibr" rid="scirp.132137-ref4">4</xref>] , research on medication errors by nurses and views of their reasons is crucial as a foundation for developing improved nursing education policies, particularly those related to drug safety.</p><p>Nurses and midwives are the professionals closest to patients and are the final link in the medication administration chain [<xref ref-type="bibr" rid="scirp.132137-ref5">5</xref>] . As the product of nurses and midwives shared values and beliefs, medication safety can be taught, developed and internalized in undergraduate nursing programs to transform safety culture [<xref ref-type="bibr" rid="scirp.132137-ref6">6</xref>] . There is limited evidence that healthcare educators explicitly incorporate medication safety into professional education programs [<xref ref-type="bibr" rid="scirp.132137-ref7">7</xref>] .</p><p>Thus, nurses and midwives may receive relatively little education in error management techniques [<xref ref-type="bibr" rid="scirp.132137-ref8">8</xref>] .</p><p>The evidence provided by literature shows that nurses and midwives are major culprits when it comes to medication errors due to the vital role, they play in patient care [<xref ref-type="bibr" rid="scirp.132137-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref10">10</xref>] . There is the need to conduct a study to find data on medications administration errors (MAEs) in the Holy Family Hospital, Nkawkaw in the Eastern region and in Ghana as a whole especially among nurses and midwives. This will provide answers to questions regarding the kind of errors found among nurses and midwives within the hospital and what the related causes are.</p></sec><sec id="s2"><title>2. Research Objectives</title><p>This study sought to:</p><p>1) Determine the prevalence of medication administration errors among nurses and midwives in Ghana.</p><p>2) Ascertain the causes of medication administration errors among nurses and midwives in their practice in Ghana.</p></sec><sec id="s3"><title>3. Methods</title><sec id="s3_1"><title>3.1. Research Design</title><p>This study is quantitative in nature because data was collected from respondents in relation to the variables of the study or study objective. A descriptive cross-sectional study approach was used to collect data on study variables at a particular point in time. Since this design is economical and efficient, it provided descriptive, inferential and explanatory and standardized information in the study.</p></sec><sec id="s3_2"><title>3.2. Study Area</title><p>Holy Family hospital Nkawkaw is a mission hospital serving as a district hospital within the Kwahu west municipality. It serves as a referral centre for the surrounding communities and districts for the treatment of medical and surgical cases, obstetric and gynaecological cases, and paediatric cases. Nkawkaw Holy Family hospital has a staff strength of about 350 comprising of Specialists, General Practitioners, House officers, Physician Assistants, Nurses and Midwives, Allied health professionals and other paramedical staff. Holy family hospital Nkawkaw runs a 24 hr service comprising OPD services with about 10 consulting rooms. It has an emergency unit for detention within 24 hrs before discharging or admission into any of the medical or surgical ward (both male and female). It has an isolation unit for management of contagious diseases such as tuberculosis and epidemic-prone diseases such as Cholera and COVID-19. The population of nurses and midwives in the facility at the time of the study was 231.</p></sec><sec id="s3_3"><title>3.3. Population</title><p>The study population consisted of all nurses and midwives who were working at the Holy family hospital. The population of nurses and midwives in the various departments of the hospital were 231 at the time of the study. These nurses and midwives had different demographic characteristics including age, years of experience and level of education. The expected number of midwives working at the Holy Family Hospital who participated in the study was 79. An expected number of 152 nurses (made up of general registered nurses, health assistants and community health nurses) at the Holy Family Hospital who work in different categories and perform duties specifically assigned to them participated in the study.</p></sec><sec id="s3_4"><title>3.4. Sampling Procedure</title><p>A census sampling was employed in this study since the population was small and it, relied on data collected from all population members to provide the responses to the variables of the study. This method provided accurate and complete information since all population members were involved even though it was time consuming [<xref ref-type="bibr" rid="scirp.132137-ref11">11</xref>] . Since a census was used in this study, all nurses and midwives working in Holy Family Hospital were selected for data collection. Thus 231 nurses and midwives were used for the study.</p></sec><sec id="s3_5"><title>3.5. Data Collection Instruments</title><p>An adapted questionnaire from a study with similar variables to this study was used for data collection from the respondents for the study. The questionnaire was adapted by the researcher and was made up of closed-ended, open-ended and Likert scale questions which were structured into 6 sections. Section A considered the demographic characteristics of respondents and had five sub-items. Section B was made up of two items and looked at the concepts or dimensions of medication errors respondents might have experienced in their practice. Section C comprised of fifteen sub-items and examined the possible causes of nursing medication errors.</p></sec><sec id="s3_6"><title>3.6. Data Collection Procedures</title><p>A written introductory consent was sought from respondents on a template containing the questionnaire. Respondents in each ward being used for the study were provided with questionnaires to provide their responses to the questions. Researchers were available to provide help to respondents without influencing respondents’ decisions. Data collection was done after approval and clearance had been received. Data collection was done before and after the beginning of nurses’ and midwives’ working shifts so as not to interfere with their work. Data was also collected between two weeks in order to be able to capture all nurses and midwives available. Receiving positive reception and corporation from nurses and midwives served as a challenge in the data collection process. Data collection was done in the COVID-19 period and as such all precautionary measures were adhered to. Data collection was face to face, where the researchers had direct contact with the respondents. Nevertheless, the researchers politely insisted on the adherence to these measures at all times in the data collection process. The researchers also made use of a sampling frame containing the names and contacts of all nurses and midwives at the Holy Family hospital to help identify respondents who were contacted at each point in time. This documentation served as a source of reference when a situation which may require contact tracing occurred. The researchers also made a personal risk assessment of situations and the environment at each point in time to make sure the right safety measures were being followed.</p></sec><sec id="s3_7"><title>3.7. Data Processing and Analysis</title><p>The results from the respondents were computed and analyzed using the SPSS version 25 where data collected were coded into the software and commands given to provide results. Care was taken in entering data and data entered was cross-checked to prevent inputting wrong data. Data was analyzed to provide descriptive statistics. The results were displayed in tables in numerical form with accompanying explanations given. The study focused on analyzing each research question in order to meet the study objectives. The study employed the use of percentages and frequencies to analyse the data.</p></sec><sec id="s3_8"><title>3.8. Ethical Consideration</title><p>This study involved sensitive issues and as such, clearance was sought from appropriate authorities. Ethical clearance from the University of Cape Coast was sought from the Institutional Review Board (IRB) to undertake the study. Approval and guidance were taken from the Department of Adult Health, School of Nursing and Midwifery and the research supervisor in carrying out the survey. The Medical Director and the Nurse Manager for Holy family hospital were written to for clearance before start of the study. Respondents were not required to provide personal data which could be used to trace them. Respondents were also given the needed privacy and time to provide their responses. Also, to ensure sound respondent-researcher relationship in this study, the researchers endeavored not to move from the role of the investigator to that of counsellor or therapist and tried to provide minimum assistance to respondents to maintain focus on the topic under investigation. Informed consent was obtained from every respondent by assuring them of anonymity and confidentiality and ensuring that identification features such as names were not recorded on the questionnaire.</p></sec></sec><sec id="s4"><title>4. Results</title><p>This section of the study presents the results from the study in tables and writing to aid in conducting further analysis. The data was obtained from the 231 nurses and midwives through census sampling on medication administration errors at Holy Family Hospital. Frequencies and percentages, as well as binary logistic regression, were used to analyse the data. The results from the collected data were presented in tables. <xref ref-type="table" rid="table1">Table 1</xref> shows results on the demographic characteristics of the 231 nurses and midwives used in the study. It was revealed that 21.2% (n = 49) of the respondents were between the ages of 25 and 29 years old, 73.2% (n = 169) were females, 51.9% (n = 120) were diploma holders, and 27.7% (n = 39) had worked for 5 years or less on the unit or department where the nurses and midwives were engaged, and 28.6% (n = 66) worked at maternity.</p><p>Prevalence of medication administration errors among nurses and midwives in Ghana</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows the responses of the 231 nurses and midwives who participated in the study on the prevalence of medicine administration errors at Holy Family Hospital in Nkawkaw. According to <xref ref-type="table" rid="table2">Table 2</xref>, 54.5% (n = 126) of respondents had encountered drug errors in their nursing practice. Among the 126 nurses and midwives who had experienced medication errors, 41.3% (n = 52) had done so twice. According to the data obtained, a combination of circumstances contributed to medication errors (n = 38; 16.5%).</p><p>Causes of medication administration errors among nurses and midwives in their practice in Ghana</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows the findings from a survey of 231 nurses and midwives at Holy Family Hospital in Nkawkaw regarding the causes of medication administration errors. The causes of MAEs were divided into three categories: nurse-related factors, department-related factors, and nurse management-related factors. Regarding nurse-related issues, 45% (n = 104) of respondents believe that being depressed and disinterested in the nursing profession is a cause of prescription mistake. The majority of respondents, 64.1% (n = 148), agreed that nurses and midwives’ unfamiliarity with the pharmaceuticals is a cause of MAE, whereas 44.6% (n = 103) believed that psychological and mental disorders could lead to medication errors. Again, 47.6% (n = 110) of respondents believe that not enough time is a cause of drug mishaps. Also, 48.1% (n = 111) of respondents believe that fatigue caused by overworking is a cause of drug errors. <xref ref-type="table" rid="table3">Table 3</xref> demonstrates that 40.7% (n = 94) of respondents disagreed that department environmental noise was a source of prescription errors.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic characteristics of nurses and midwives (n = 231)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Demographic Variable</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage (%)</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >24 years and below</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >9.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >25 - 29 years</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >21.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30 - 34 years</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >20.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >35 - 39 years</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >16.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >40 - 44 years</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >11.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >45 - 49 years</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >9.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >50 - 54 years</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >6.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >55 - 60 years</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >169</td><td align="center" valign="middle" >73.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >26.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Qualification</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Enrolled</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diploma</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >51.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Degree</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Masters</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Years of service</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >5 years and below</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >27.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >6 - 10 years</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >24.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >11 - 15 years</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >16.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >16 - 20 years</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >14.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >21 - 25 years</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >8.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >26 - 30 years</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >31 years and above</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unit/department of work</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Maternity</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >28.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Emergency</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Theatre</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >9.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male ward</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female ward</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >8.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Paediatric ward</td><td align="center" valign="middle" >25</td><td align="center" valign="middle"  colspan="2"  >10.8</td></tr><tr><td align="center" valign="middle" >Fever’s unit</td><td align="center" valign="middle" >3</td><td align="center" valign="middle"  colspan="2"  >1.3</td></tr><tr><td align="center" valign="middle" >OPD</td><td align="center" valign="middle" >14</td><td align="center" valign="middle"  colspan="2"  >6.1</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >39</td><td align="center" valign="middle"  colspan="2"  >16.9</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prevalence of medication administration errors among nurses and midwives (n = 231)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Question</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Have you experienced medication error in your practice as a nurse or a midwife?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >54.5</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >105</td><td align="center" valign="middle" >45.5</td></tr><tr><td align="center" valign="middle" >If yes, how many times have you experienced medication error in your practice?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Once</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >32.5</td></tr><tr><td align="center" valign="middle" >Twice</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >41.3</td></tr><tr><td align="center" valign="middle" >Thrice</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >17.5</td></tr><tr><td align="center" valign="middle" >Five times</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.6</td></tr><tr><td align="center" valign="middle" >Six or more times</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >7.1</td></tr><tr><td align="center" valign="middle" >Who was the principal cause of the mediation error?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nurse/midwife</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >11.7</td></tr><tr><td align="center" valign="middle" >Doctor</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >8.2</td></tr><tr><td align="center" valign="middle" >Patient</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Other health professional</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >4.3</td></tr><tr><td align="center" valign="middle" >A combination of factors</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >16.5</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >7.4</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Causes of medication administration errors among nurses and midwives (n = 231)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >Nurse related factors</th></tr></thead><tr><td align="center" valign="middle" >Cause</td><td align="center" valign="middle" >Frequency</td><td align="center" valign="middle" >Percentage</td></tr><tr><td align="center" valign="middle" >Being despondent and disinterested in nursing profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >9.1</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >45.0</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.7</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >24.2</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >19.9</td></tr><tr><td align="center" valign="middle" >Nurses/midwives being unfamiliar with the drugs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >3.0</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >64.1</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >7.4</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >18.6</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >6.9</td></tr><tr><td align="center" valign="middle" >Nurses’/midwives’ psychological and mental problems</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >44.6</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >15.2</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >22.5</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >16.9</td></tr><tr><td align="center" valign="middle" >Not having enough time</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >7.4</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >47.6</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.7</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >35.9</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >7.4</td></tr><tr><td align="center" valign="middle" >Tiredness resulting from overworking</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >23.4</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >111</td><td align="center" valign="middle" >48.1</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >18.6</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >7.4</td></tr><tr><td align="center" valign="middle" >Department related factors</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Department environment noise</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >13</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >10.8</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >20.8</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >40.7</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >14.7</td></tr><tr><td align="center" valign="middle" >Drugs chamber office space (light, physical space)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >12.6</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >42</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >17.3</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >12.1</td></tr><tr><td align="center" valign="middle" >High volume of work</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >25.1</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >32.5</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >27.3</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >9.5</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >The way drugs are arranged on the shelves</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >43.7</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >13</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >18.6</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >Department medication and drug protocols</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >44.2</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >33.8</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >Nursing management related factors</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >The insufficient number of nurses and in relation to the patients</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >31.2</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >43.3</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.3</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >18.6</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >Department style of supervision and control</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >64.1</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >9.5</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >11.3</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >9.5</td></tr><tr><td align="center" valign="middle" >Physicians’ illegible handwriting in patients’ files</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >17.3</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >40.7</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >14.7</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >11.3</td></tr><tr><td align="center" valign="middle" >Drug prescription method</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >43.7</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >14.7</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >19.9</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >The errors occurring mostly during particular shifts</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Completely agree</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.3</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >51.1</td></tr><tr><td align="center" valign="middle" >No idea</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >10.8</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >19.5</td></tr><tr><td align="center" valign="middle" >Completely disagree</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >17.3</td></tr></tbody></table></table-wrap><p>Respondents agreed (42%; n = 97) that drugs chamber office space (light, physical space) could be a cause of medication error, 27.3% (n = 63) of respondents had no idea that high volume of work is a cause of medication error, and 43.7% (n = 101) of respondents agreed that the way drugs are arranged on the shelves is a cause. Concerning department medication and drug protocols, 44.2% (n = 102) of respondents agree that if they are not available, medication errors may occur. Regarding nurse management-related issues as causes of MAEs, the findings suggest that 43.3% (n = 100) agree that an insufficient number of nurses and midwives in relation to patients can cause MAEs. The majority of responders, 64.1% (n = 148), agree that departmental monitoring and control is a cause of pharmaceutical errors. About 41% (n = 94) of respondents believe that physicians’ unclear handwriting in patient files is a cause of drug errors. Respondents also agreed (43.7%; n = 101) that the drug prescription procedure causes medication errors. Furthermore, 51.1% (n = 118) of respondents agreed that pharmaceutical errors occur primarily during specific shifts.</p></sec><sec id="s5"><title>5. Discussion</title><p>Prevalence of medication administration errors among nurses and midwives in Ghana</p><p>According to the report, there is a significant rate of drug errors among nurses and midwives. This is corroborated by [<xref ref-type="bibr" rid="scirp.132137-ref12">12</xref>] , who claims that medicine administration errors occur in Ghanaian hospitals. [<xref ref-type="bibr" rid="scirp.132137-ref12">12</xref>] also reported that drug administration errors in Ghanaian hospitals are prevalent among nurses and midwives, although doctors and other health workers also contribute to MAEs. The study also discovered that in the majority of MAEs, the primary cause was a mix of factors. According to the respondents, patients contributed to MAEs (6.5%).</p><p>This finding is corroborated by [<xref ref-type="bibr" rid="scirp.132137-ref1">1</xref>] hypothesis that patients’ attitudes towards drug administration contribute to MAEs. MAEs are frequently caused by a breakdown in collaborative communication among health professionals, such as doctors, chemists, and nurses/midwives [<xref ref-type="bibr" rid="scirp.132137-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref13">13</xref>] . [<xref ref-type="bibr" rid="scirp.132137-ref5">5</xref>] discovered that nurses and midwives are the other medical personnel who have the most contact with patients and are the last line of defence in preventing drug errors. Similarly, they could be the primary cause of MAEs. The contribution of different health professionals to MAEs is possible, as a study conducted at the Hospital de Cl&#237;nicas de Porto Alegre in 2003 revealed that, during a mean hospital stay of eight days in a general teaching hospital, on average, 75 different professionals deal with a patient’s medical chart. Identification of the principal causes of MAEs may be possible through proper documentation as according to [<xref ref-type="bibr" rid="scirp.132137-ref14">14</xref>] , during the course of hospitalization, data regarding the patient’s daily evolution, with date and hour, description of all procedures to which the patient was submitted, and identification of all professionals that provided care are included in the medical record.</p><p>The study finds that the most important predictor for experience of medication error in nursing practice is years of service followed by qualification level of respondents. However, according to [<xref ref-type="bibr" rid="scirp.132137-ref7">7</xref>] , there is limited evidence that healthcare educators explicitly incorporate medication safety into professional education programs. This will mean that nurses and midwives may receive relatively little education in error management techniques [<xref ref-type="bibr" rid="scirp.132137-ref8">8</xref>] . Also, [<xref ref-type="bibr" rid="scirp.132137-ref15">15</xref>] finds that the conditions that contribute to medication errors arise when nurses and midwives do not get sufficient supervision from their colleagues and senior nurses and midwives in the hospital and have not been equipped with proper medication safety education. While numerous studies have established that better nurse midwifery staffing and more supportive work environments lead to lower rates of adverse events including medication errors and mortality, comparatively there has been less attention given to the potential benefits associated with a more highly educated and experienced registered nurses and midwife workforce [<xref ref-type="bibr" rid="scirp.132137-ref16">16</xref>] .</p><p>Causes of medication administration errors among nurses and midwives in Ghana</p><p>On nursing related factors causing MAEs among nurses, the study finds that most of the respondents agree that they believe being despondent and disinterested in the nursing or midwifery profession is a cause of MAE. Also, the respondents agree that nurses and midwives being unfamiliar with drugs may lead to MAE. Existing research has found that many new nurses and midwives are unsure of their competence with regard to the safe administration of drugs due to limited knowledge of pharmacology, side effects, and other aspects of medication safety [<xref ref-type="bibr" rid="scirp.132137-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref18">18</xref>] . Also, [<xref ref-type="bibr" rid="scirp.132137-ref6">6</xref>] stated that pharmacological knowledge that is not associated with patient safety makes it difficult for nurses and midwives to apply drug safety principles, leaving them vulnerable to making medication errors.</p><p>The study also finds that tiredness resulting from overworking and having limited time to work too are primary causes of MAEs. This result is very evident in literature as research by [<xref ref-type="bibr" rid="scirp.132137-ref19">19</xref>] suggests that the number of hours nurses work, length of shifts, patient acuity and high workloads result in nurse fatigue. [<xref ref-type="bibr" rid="scirp.132137-ref20">20</xref>] have found that nurses are two and a half times more likely to suffer burnout and job dissatisfaction when regularly working shifts of ten hours or longer.</p><p>On departmental related factors leading to MAEs, results from the study show that the respondents agreed that a noisy working environment is a cause of MAE. However, noise has been seen as a possible cause of MAEs as [<xref ref-type="bibr" rid="scirp.132137-ref21">21</xref>] identified that distractions, such as noise, can be ignored or processed concurrently with the primary task, however, they may also contribute to errors and act as a precursor to an interruption. A poor lighting system and the lack of space in the drugs chamber office is seen as a cause of MAEs among most respondents. Environmental characteristics that can lead to problems during administration of medications include poor lighting, a restricted storage space which results in cluttered work surfaces, a poor layout of medication rooms, a lack of space for preparing and charting medications, and a lack of privacy in medication and drug chamber rooms [<xref ref-type="bibr" rid="scirp.132137-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref23">23</xref>] .</p><p>Nurses and midwives also indicated that a high volume of work and workload is a possible cause of MAEs [<xref ref-type="bibr" rid="scirp.132137-ref24">24</xref>] . [<xref ref-type="bibr" rid="scirp.132137-ref25">25</xref>] found that nurses’ high workload can affect the quality and quantity of the supervision nurses provides. Nurses and midwives who engage frequently in competing activities as a result of high workloads and the acute nature of patients’ conditions are more likely to experience distractions and interruptions, focus poorly on work-related activities and potentially make more errors [<xref ref-type="bibr" rid="scirp.132137-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref26">26</xref>] . The respondents agree that the existing departmental medication and drug protocols could lead to medication administration errors. However, a high percentage of respondents also disagreed with the existing department medication and drug protocols serving as a cause of medication administration errors.</p><p>The study also came out with nursing management related factors that may lead to medication administration errors. On these factors, the study finds that department style of supervision and control contributes to medication administration errors. A number of studies have also identified the contribution of departmental supervision to MAEs. Conditions that contribute to medication errors arise when nurses and midwives do not get sufficient supervision from their colleagues and senior personnel in the hospital [<xref ref-type="bibr" rid="scirp.132137-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref27">27</xref>] . A study by [<xref ref-type="bibr" rid="scirp.132137-ref28">28</xref>] also found that lack of proper supervision was a major cause of medication error. Furthermore, according to [<xref ref-type="bibr" rid="scirp.132137-ref25">25</xref>] , nurses’ high workload can affect the quality and quantity of the supervision nurses receive. Lack of supervision for nurses and midwives, particularly those who have just begun their practice, leaves them vulnerable to making medication errors [<xref ref-type="bibr" rid="scirp.132137-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref29">29</xref>] .</p><p>The study also finds that medication administration errors are more likely to occur during particular working shifts. Nurses are two and a half times more likely to suffer burnout and job dissatisfaction when regularly working shifts of ten hours or longer [<xref ref-type="bibr" rid="scirp.132137-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.132137-ref30">30</xref>] . This could lead to medication administration errors in such cases. The study also found that insufficient number of nurses and midwives in relation to the patients is a cause of medication errors in nursing practice. According to [<xref ref-type="bibr" rid="scirp.132137-ref31">31</xref>] , staffing problems influence the availability of appropriate role models for nurses and midwives in their clinical practice. [<xref ref-type="bibr" rid="scirp.132137-ref32">32</xref>] estimated that the risk of patient harm as a result of medication error may be greater in Ghana, due to inadequate skilled human resources in hospitals.</p></sec><sec id="s6"><title>6. Conclusion</title><p>The entire study process and results provides the necessary basis for a number of conclusions to be drawn in assessing medication administration errors among nurses and midwives. On the prevalence of medication administration errors among nurses and midwives, a greater proportion of nurses and midwives have experienced medication errors in their professional practice. Most of the nurses and midwives had experienced a medication error twice. In most cases, the occurrence of a medication was due to a combination of factors. On the causes of medication administration errors among nurses and midwives, nurses and midwives believe that showing less interest in the nursing or midwifery profession is a cause of medication errors. Unfamiliarity with drugs coupled with working with limited time and tiredness resulting from overworking also represent primary causes of medication errors.</p></sec><sec id="s7"><title>Ethics Approval and Consent to Participate</title><p>Ethical clearance from the University of Cape Coast was sought from the Institutional Review Board (IRB). Approval and guidance were taken from the Department of Adult Health, School of Nursing and Midwifery. The Medical Director and the Nurse Manager for Holy family hospital were written to for clearance before start of the study. Informed consent was sought from the study participants.</p></sec><sec id="s8"><title>Availability of Data and Material</title><p>The datasets generated during and/or analysed during the current study are not publicly available due to ethical reasons but are available from the corresponding author on reasonable request.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.</p></sec><sec id="s10"><title>Authors’ Contribution</title><p>ROD and VLO were responsible for the conceptualization of the topic of the study. ROD made a substantial contribution to the design of the work, analysis and interpretation of data. VLO was actively involved in the data collection, analysis of the data, and draft of the manuscript.</p><p>CA contributed to the conceptualization of the study and was involved in the design, interpretation of the data, write-up and in the preparation of the final manuscript. ROD, VLO and CA read the final manuscript and approved the version to be published.</p></sec><sec id="s11"><title>Cite this paper</title><p>Opoku-Danso, R., Otoo, V.L. and Asiedu, C. (2024) Medication Administration Errors among Nurses and Midwives in Ghana. Open Journal of Nursing, 14, 77-92. https://doi.org/10.4236/ojn.2024.142006</p></sec></body><back><ref-list><title>References</title><ref id="scirp.132137-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Kiersma, M.E., Plake, K.S. and Darbishire, P. (2011) Patient Safety Instruction in US Health Professions Education. American Journal of Pharmaceutical Education, 13, 123-130.</mixed-citation></ref><ref id="scirp.132137-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">WHO (2016) Medication Errors: Technical Series on Safer Primary Care. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.132137-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Chenot, T.M. and Daniel, L.G. (2010) Frameworks for Patient Safety in the Nursing Curriculum. Journal of Nursing Education, 10, 559-568. https://doi.org/10.3928/01484834-20100730-02</mixed-citation></ref><ref id="scirp.132137-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Ajri-Khameslou, M., Abbaszadeh, A. and Borhani, F. (2017) Emergency Nurses as Second Victims of Error: A Qualitative Study. Advanced Emergency Nursing Journal, 14, 68-76. https://doi.org/10.1097/TME.0000000000000133</mixed-citation></ref><ref id="scirp.132137-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Sulosaari, A., Kajander, S., Hupli, M., Huupponen, R. and Leino-Kilpi, H. (2012) Nurse Students’ Medication Competence—An Integrative Review of the Associated Factors. Nurse Education Today, 32, 399-405. https://doi.org/10.1016/j.nedt.2011.05.016</mixed-citation></ref><ref id="scirp.132137-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Vaismoradi, M., Salsali, M. and Marck, P. (2011) Patient Safety, Nursing Students’ Perspectives and the Role of Nursing Education to Provide Safe Care. International Nursing Review, 12, 434-442. https://doi.org/10.1111/j.1466-7657.2011.00882.x</mixed-citation></ref><ref id="scirp.132137-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Attree, M., Cooke, H. and Wakefield, A. (2010) Patient Safety in an English Pre-Registration Nursing Curriculum. Nurse Education in Practice, 8, 239-248. https://doi.org/10.1016/j.nepr.2007.09.003</mixed-citation></ref><ref id="scirp.132137-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Page, K. and McKinney, A. (2011) Addressing Medication Errors—The Role of Undergraduate Nurse Education. Nurse Education Today, 27, 219-224. https://doi.org/10.1016/j.nedt.2006.05.002</mixed-citation></ref><ref id="scirp.132137-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Pham, J., Story, J., Hicks, R., Shore, D., Morlock, L., Cheung., D. and Pronovost, P. (2011) National Study on the Frequency, Types, Causes, and Consequences of Voluntarily Reported Emergency Department Medication Errors. Journal of Emergency Medicine, 40, 485-492. https://doi.org/10.1016/j.jemermed.2008.02.059</mixed-citation></ref><ref id="scirp.132137-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Gorgich, E.A., Barfroshan, S., Ghoreishi, G. and Yaghoobi, M. (2016) Investigating the Causes of Medication Errors and Strategies to Prevention of Them from Nurses and Nursing Student Viewpoint. Global Journal of Health Sciences, 8, 220-227. https://doi.org/10.5539/gjhs.v8n8p220</mixed-citation></ref><ref id="scirp.132137-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">McCartney, G. and Weng In, W.L. (2016) House of Cards—An Analysis of Macao’s Resident Support for Tourism and Casino Development. Tourism and Hospitality Research, 16, 144-157. https://doi.org/10.1177/1467358415600215</mixed-citation></ref><ref id="scirp.132137-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Degley, A.T. (2016) Nurses View on Drug Administration Error and Patient Safety in Health Facilities in the Central Region of Ghana. University of Cape Coast Ghana Library, Cape Coast.</mixed-citation></ref><ref id="scirp.132137-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Mariani, B., Ross, J.G., Paparella, S. and Allen, L.R. (2017) Medication Safety Simulation to Assess Student Knowledge and Competence. Clinical Simulation of Nursing, 13, 210-216. https://doi.org/10.1016/j.ecns.2017.01.003</mixed-citation></ref><ref id="scirp.132137-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Bali, A., Bali, D., Iyer, N. and Iyer, M. (2011) Management of Medical Records: Facts and Figures for Surgeons. Journal of Maxillofacial and Oral Surgery, 10, 199-202. https://doi.org/10.1007/s12663-011-0219-8</mixed-citation></ref><ref id="scirp.132137-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Reid-Searl, K. and Happell, B. (2013) Supervising Nursing Students Administering Medication: A Perspective from Registered Nurses. Journal of Clinical Nursing, 2, 1998-2005. https://doi.org/10.1111/j.1365-2702.2011.03976.x</mixed-citation></ref><ref id="scirp.132137-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Kendall-Gallagher, D., Aiken, L.H., Sloane, D.M. and Cimiotti, J.P. (2011) Nurse Specialty Certification, Inpatient Mortality, and Failure to Rescue. Journal of Nursing Scholarship, 2, 188-194. https://doi.org/10.1111/j.1547-5069.2011.01391.x</mixed-citation></ref><ref id="scirp.132137-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Adhikari, R., Tocher, J., Smith, P., Corcoran, J. and MacArthur, J. (2014) A Multi-Disciplinary Approach to Medication Safety and the Implication for Nursing Education and Practice. Nurse Education Today, 34, 185-190. https://doi.org/10.1016/j.nedt.2013.10.008</mixed-citation></ref><ref id="scirp.132137-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Peyrovi, H., Nikbakht, N.A. and Valiee, S. (2016) Exploration of the Barriers of Reporting Nursing Errors in Intensive Care Units: A Qualitative Study. Journal of the Intensive Care Society, 17, 215-221. https://doi.org/10.1177/1751143716638370</mixed-citation></ref><ref id="scirp.132137-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Ayorinde, M.O. and Alabi, P.I. (2019) Perception and Contributing Factors to Medication Administration Errors among Nurses in Nigeria. International Journal of Africa Nursing Sciences, 11, Article ID: 100153. https://doi.org/10.1016/j.ijans.2019.100153</mixed-citation></ref><ref id="scirp.132137-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Dall’Ora, C., Ejebu, O.Z., Ball, J. and Griffiths, P. (2023) Shift Work Characteristics and Burnout among Nurses: Cross-Sectional Survey. Occupational Medicine, 73, 199-204. https://doi.org/10.1093/occmed/kqad046</mixed-citation></ref><ref id="scirp.132137-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">McFarlane, D.C. and Latorella, K.A. (2012) The Scope and Importance of Human Interruption in Human-Computer Interaction Design. Human-Computer Interaction, 17, 1-61.</mixed-citation></ref><ref id="scirp.132137-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Mahmood, A., Chaudhury, H. and Valente, M. (2011) Nurses’ Perceptions of How Physical Environment Affects Medication Errors in Acute Care Settings. Applied Nursing Research, 24, 229-237. https://doi.org/10.1016/j.apnr.2009.08.005</mixed-citation></ref><ref id="scirp.132137-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Rutledge, D.N., Retrosi, T. and Ostrowski, G. (2018) Barriers to Medication Error Reporting among Hospital Nurses. Journal of Clinical Nursing, 27, 1941-1949. https://doi.org/10.1111/jocn.14335</mixed-citation></ref><ref id="scirp.132137-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Samsiah, A., Othman, N., Jamshed, S. and Hassali, M.A. (2016) Perceptions and Attitudes towards Medication Error Reporting in Primary Care Clinics: A Qualitative Study in Malaysia. PLOS ONE, 11, E0166114. https://doi.org/10.1371/journal.pone.0166114</mixed-citation></ref><ref id="scirp.132137-ref25"><label>25</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Crossland</surname><given-names> C. </given-names></name>,<etal>et al</etal>. (<year>2022</year>)<article-title>Teaching in the Clinical Environment</article-title><source> Update in Anaesthesia</source><volume> 36</volume>,<fpage> 13</fpage>-<lpage>17</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.132137-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Myers, L.C., Blumenthal, K.G., Phadke, N.A., Wickner, P.G., Seguin, C.M. and Mort, E. (2021) Conducting Safety Research Safely: A Policy-Based Approach for Conducting Research with Peer Review Protected Material. Joint Commission Journal on Quality and Patient Safety, 47, 54-59. https://doi.org/10.1016/j.jcjq.2020.09.008</mixed-citation></ref><ref id="scirp.132137-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Weiss, P.M. and Miranda, F. (2018) Transparency, Apology and Disclosure of Adverse Outcomes. Obstetric Gynecological Clinic of North America, 5, 53-62. https://doi.org/10.1016/j.ogc.2007.12.007</mixed-citation></ref><ref id="scirp.132137-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Musharyanti, L., Claramita, M., Haryanti, F. and Dwiprahasto, I. (2019) Why Do Nursing Students Make Medication Errors? A Qualitative Study in Indonesia. Journal of Taibah University Medical Sciences, 14, 282-288. https://doi.org/10.1016/j.jtumed.2019.04.002</mixed-citation></ref><ref id="scirp.132137-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Izadpanah, F., Nikfar, S., BakhshiImcheh, F., Amini, M. and Zargaran, M. (2018) Assessment of Frequency and Causes of Medication Errors in Pediatrics and Emergency Wards of Teaching Hospitals Affiliated to Tehran University of Medical Sciences. Journal of Medicine and Life, 11, 299-305. https://doi.org/10.25122/jml-2018-0046</mixed-citation></ref><ref id="scirp.132137-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Bi&amp;#351;kin&amp;#199;etin, S. and Cebeci, F. (2021) Perceptions of Clinical Nurses about the Causes of Medication Administration Errors: A Cross-Sectional Study. Florence Nightingale Journal of Nursing, 29, 56-64. https://doi.org/10.5152/FNJN.2021.19135</mixed-citation></ref><ref id="scirp.132137-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Fr&amp;#248;iland, C.T., Huseb&amp;#248;, A.M.L., Akerjordet, K., Kihlgren, A. and Laugaland, K. (2022) Exploring Mentorship Practices in Clinical Education in Nursing Homes: A Qualitative Mixed-Methods Study. Journal of Clinical Nursing, 31, 895-908. https://doi.org/10.1111/jocn.15943</mixed-citation></ref><ref id="scirp.132137-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Assiri, G.A., Alkhenizan, A.H., Al-Khani, S.A., Grant, L.M. and Sheikh, A. (2019) Investigating the Epidemiology of Medication Errors in Adults in Community Care Settings. A Retrospective Cohort Study in Central Saudi Arabia. Saudi Medical Journal, 40, 158-167. https://doi.org/10.15537/smj.2019.2.23933</mixed-citation></ref></ref-list></back></article>