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Open Access 01.12.2024 | Research

Clinical simulation practice and associated factors among nurse and midwife educators working at teaching institutions in Bahir Dar, Ethiopia: a mixed methods study

verfasst von: Melkam Alebachew Wubale, Ashagre Molla Assaye, Haileyesus Gedamu Wondyifraw, Bazezew Asfaw Guadie, Meseret Mekuriaw Beyene

Erschienen in: BMC Nursing | Ausgabe 1/2024

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Abstract

Introduction

Simulation is defined as "the processes by which we are trying to achieve results approximating clinical practice as closely as possible." It is a technique for replacing or completing real-life experiences with guided experiences.

Objective

To assess and explore clinical simulation practice and associated factors among nurse and midwife educators working at teaching institutions in Bahir Dar, Ethiopia.

Method

An institutional mixed-method study was conducted from May 9 to June 7, 2022, at six teaching institutions in Bahir Dar City. A sample size of 220 was taken into account for the quantitative study, and a self-administered questionnaire was used to gather data. In-depth interviews were used to acquire data for the qualitative study, which involved eight participants. The data was entered into EpiData and exported to SPSS version 26 for additional analysis after being reviewed for consistency and completeness. To evaluate the relationship between the dependent and independent variables, binary logistic regression analysis with both (bi-variant) and (multivariable) inputs was carried out.

Result

Among respondents, 104 (49.1%) were government employees. Most of the respondents in this study were male (65.6%). Statistically significant associations simulation practice experience (AOR = 0.21; 95% CI: 0.07–64), training (AOR = 0.52; 95% CI: 0.27–0.98), educational qualification (AOR = 0.37; 95% CI: 0.15–0.93) and cost (AOR = 0.37; 95% CI: 0.18–0.74). The study showed that only 121 (57%) of the respondents’ practices were classified as "good practice," while 91 (42.9%) were classified as "poor practice." Qualitative findings revealed that a lack of classroom space, inadequate training in the institution, and a consistent checklist hampered the implementation of clinical simulation practice.

Conclusion and recommendation

We determined that a shortage of classroom space, inadequate resources, high costs, and an absence of ongoing training were the key obstacles to the successful implementation of clinical simulation practice. Responsible governmental bodies should give attention for clinical simulation education.
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Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12912-024-02640-2.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AAU
Addis Ababa University
ABHSC
Alkan Business and Health Science College
BDU
Bahir Dar University
BHSC
Bahir Dar Health Science College
GBHSC
Gamby Business and Health Science College
KMC
Keamed Medical College
SBCE
Simulation Based Clinical Education
SBL
Simulation Based Learning
WHO
World Health Organization
RBU
Rift Vally University

Introduction

Simulation is defined as "the processes by which we are trying to achieve results approximating clinical practice as closely as possible". It is a technique for replacing or completing real-life experiences with guided experiences, which are faithful imitations of the real world in a fully interactive way [1]. Simulation is a novel method of teaching psychomotor abilities because it allows students to integrate knowledge from all three learning domains while practicing the skill [2]. Simulation is a teaching and learning strategy that is increasingly used in nursing education to prepare students for the clinical workplace. It has existed in nursing education in many forms, and the first healthcare simulation manikins were introduced in the early 1960s [3]. Simulation is a technique or device that attempts to create the characteristics of a real-world situation. Simulation allows the educator to control the learning environment through the scheduling of practice and providing feedback [4].
Simulation is a technique or device that attempts to create characteristics of the real world. Simulation and debriefing methods were utilized to increase the participant’s awareness of their own knowledge, skills in ethics, and provide an opportunity for reflection on useful teaching strategies in applied ethics during clinical instruction [5].
Simulation learning is an integral component of many undergraduate nursing programs throughout the United States of America. Similar practices in simulation learning are being implemented in Ethiopia. Experiential learning through simulation allows students to improve their cognitive, affective, and psychomotor skills [6].
Schools of nursing are required to provide students with both theory and clinical opportunities relative to the scope of nursing. Nurse educators who teach in baccalaureate programs foster critical thinking and communication skills through didactic and clinical instruction, as well as learner activities such as simulation [7]. Simulations vary in type and the technology utilized. Simulations range in technological complexity from low-fidelity, consisting of case studies or written patient scenarios where students engage in problem-based learning, to high-fidelity, where high-tech mannequins are utilized to generate highly realistic scenarios [8]. Competent nurses are able to consistently transfer knowledge into appropriate action. To do this, nurses must be able to obtain patient data, make accurate decisions based upon their interpretation of the data, and take appropriate action based upon the information and the situation [9]. The use of clinical simulation as a teaching technique has become widely encouraged due to its ability to provide active learning mechanisms, construction of knowledge, critical understanding of reality and favor the acquisition of technical and non-technical skills, such as crisis management, teamwork, leadership, clinical reasoning, and decision-making [10].
Addis Ababa University has embraced simulation-based medical education (SBME) as part of the solution to fill the gap. Simulation in medical education is an educational modality that replicates or imitates a real clinical environment. It provides healthcare professionals the opportunity to acquire and master key skills and behaviors in a risk-free environment. Simulation-based medical education is widely used in the developed world as a result of the demand for patient safety, the rapid development of new medical technology and management modalities, the need for training in specific presentations and diagnoses to fulfill educational objectives, and insufficient clinical training opportunities with actual patients [11]. Clinical simulation may be used for assessment and evaluation of students’ skills, as a teaching strategy in clinical nursing courses, and an opportunity for students to practice clinical skills. Clinical simulations, most educators believe, foster and enhance critical thinking skills through the practice of psychomotor skills and therapeutic communication techniques [12].
Simulation is an instructional tool and procedure that has been proven to be effective. Simulation encourages students to work together and form bonds, as well as to follow a routine for mastering a skill. It is built on a scenario in which learning becomes interactive, allowing for feedback between the educator and other team members, and encourages clinical reasoning and critical thinking among the team members [13].The purpose of this study was to evaluate the use of simulation to impact the Development of clinical self-efficacy in junior- and senior-level nursing educators.

Materials and methods

Study area and study period

The study was conducted in Bahir Dar City from May 9 to June 7, 2022 in Bahr Dar. Bahir Dar is a city in northwestern Ethiopia, which is situated on the southern shore of Lake Tana, the source of the Blue Nile (Abay) [14].It is the capital city of the Amhara National Regional State (ANRS). There is one governmental health teaching university, one governmental health college, and seven non-governmental health teaching institutions in Bahir Dar city with clinical simulation facilities.

Objectives

General objective

To assess and explore clinical simulation in teaching practice and associated factors of nurse and midwife educators working at teaching institutions in Bahir Dar, Amhara Region, Ethiopia, 2022.

Specific objectives

To determine the proportion of simulation practice among nurse and midwife educators working at teaching institutions in Bihar Dar, Amhara Region, Ethiopia, 2022.
To explore factors influencing effective clinical simulation practice among nurse and midwife educators working at teaching institutions in Bihar Dar, Amhara Region, Ethiopia, 2022.
To identify the factors affecting clinical simulation practice among nurse and midwife educators working at teaching institutions in Bihar Dar, Amhara Region, Ethiopia, 2022.

Study design

An institution-based mixed methods study was conducted to assess the practice and associated factors of nurse and midwife educators on clinical simulation.

Source population

Nurse and midwifery educators working at a teaching institutions in Bahir Dar, Ethiopia.

Study population

Nurse and midwifery educators working at teaching institutions in Bahir Dar, Ethiopia and available during data collection.

Eligibility criteria

Inclusion criteria

For the quantitative study, nurse and midwifery educators working at teaching institutions and having simulation.
Nurse and midwifery educators, managers, and technical staff with clinical simulation were included in the qualitative study.

Criteria for exclusion

We did not include any nurses or midwife instructors who were not involved in clinical simulation practice. Instructors who were not healthcare professionals were excluded from this study.

Sample size and sampling method

Six of the nine health science academic institutions offering a nursing and midwifery undergraduate program in Bahir Dar have been chosen through simple random cluster sampling. There were a total of 220 nurse and midwife educators at the chosen institutions. All nurse and midwife educators who were chosen to participate in the study for the quantitative study. A minimum of two key informants were questioned for each qualitative study, and the maximum sample size was established by the saturation of the data. Sixty-three, forty, fifty, twenty, seventeen, and thirty participants were selected by using a simple random sampling method from Bahir Dar University, Gamby Business and Health Science College, Riftvally University, Bahir Dar Health Science College, Keamed Medical College, and Alkan Business and Health Science College, respectively (Fig. 1).

Data collection instrument and procedure

The quantitative data were gathered using a self-administered semi-structured questionnaire adapted from various English literatures and designed to meet the study objective. The questionnaire has three parts:
  • Part I: Contains the socio-demographic questions.
  • Part II: Consists of questions assessing educators’ practice toward clinical simulation and practice.
  • Part III: Consists of questions assessing educators’ associated factors toward clinical simulation.
Four data collectors who have bachelor's degrees in Nursing professionals were recruited for data collection. Two supervisors with Master's degrees qualifications in Nursing were selected. The qualitative data was collected through in-depth interviews of key informants using an interview guide. The interview was audio recorded and additional notes were taken to capture the information delivered through non-verbal cues and to support the audio recording. The data was collected by the student researcher.

Variables

Dependent variables

Clinical simulation practice.

Independent variables

Socio-demographic characteristics

Age, Gender, Teaching Experience, Educational Qualification clinical simulation training, academic institution type.
Clinical skills and tools for student evaluation, compared to clinical skills' assessment items for students, facilitating clinical skill learning through clinical teaching and practice modeling items Clinical teaching tools and processes are used. Planning for assessment and clinical placement, planning for clinical teaching debriefing.
Factor related variables are: resources; ongoing faculty training; technical support; managerial support; background knowledge of educators; human resources; teaching guidelines and teaching challenges.

Operational definitions and definition of terms

Clinical simulation practice will be assessed by 17 questionnaires so that:
  • Poor simulation practice: Is defined as when participants respond to a clinical simulation practice questioner with a scale mean less than 1.5 [15].
  • Debriefing: is a process involving the active participation of learners guided by a facilitator or instructor whose primary goal is to identify and close gaps in knowledge and skills [16].
  • High-fidelity simulation (HFS): has been proposed as a novel, supplemental teaching–learning strategy to enhance students' confidence and competence in nursing practice [17].
  • Low-fidelity simulation: provides students with learning opportunities that may not be available through clinical education of a patient's status and responses to interventions [18].

Data quality assurance

Data collectors and supervisors were trained carefully on interview procedures and question content. The quantitative questionnaire was pretested on approximately 5% of the sample size in Debre Markos Gabist Health Science College before being used in the selected teaching institution to check for consistency and errors. Close supervision was conducted on a daily basis to ensure the completeness and consistency of each questionnaire and checklist. Data entry and cleaning were done carefully to avoid potential errors during analysis stages to assure data quality.

Data processing and analysis

Quantitative data were collected by using a self-administered questionnaire, which was adapted from study conducted in South Africa [15]. And then it was entered into EpiData and exported to SPSS version 26 for further analysis. Both bi-variable and multi-variable binary logistic regression analysis were used to assess the association between dependent and independent variables. Model adequacy was cheeked by the Hosmer and Lemshow test and fits the data well 0.45. Multicollinearity was cheeked by the variance inflation factor and had no colinearity or outliers. The variables with a significant association were identified using AOR, with a 95% confidence interval and a P-value of 0.05 as the cut-off point for significance. Finally, the results were presented using text and tables. The qualitative data was collected using an in-depth interview and then transcribed, translated, and thematically analyzed. The coding and analysis parts of the interview responses were done using QDA Miner Lite version five.

Ethical considerations

Ethical clearance was obtained from the Bahir Dar University Institutional Review Board (IRB). And then, during data collection time, informed oral consent was taken from each study participant. Moreover, confidentiality was maintained through anonymity and privacy measures to protect respondents' rights through the research process.

Result

Results for the quantitative part

Socio-demographic characteristics of participants

For quantitative analysis, a total of 220 educators were identified from teaching institutions located in Bahir Dar, Ethiopia. Among these, eight (8) did not take part in the study because they were not available during the study period of participation. This resulted in a final sample size of 212 with a response rate of 96%. Among the 212 respondents, 104 (49.1%) were government employees, and the remaining 108 (50.9%) were working at private health science colleges. Most of the respondents in this study were male (65.6%), and more than half of the participants’ age were between 30 and 40 years of age. Furthermore, 24 (11.3%) of the respondents hold a bachelor's degree, whereas 180 (84.9%) hold a master's degree (Table 1).
Table 1
Socio-demographic characteristic of participants in Bahir Dar, Ethiopia, May 2014
Variable
Category
Frequency
Percentage
Institution
Government
104
49.1%
Private
108
50.9%
Gender
Male
139
65.6%
Female
73
34.4%
Educational
Master’s degree
172
81.1%
B.Sc
31
14.6%
Diploma
9
4.2%
Experience
1–5
23
10.8%
6–10
123
58.0%
 > 10
66
31.1%
Age
20–30
99
46.7%
31–40
93
43.9%
 > 41
20
9.4%
Training
yes
108
50.9%
No
104
49.1%
Support of administrative
yes
96
45.3%
No
116
54.7%
Technical support
yes
66
31.1%
No
146
68.9%
Knowledge of nurse educator Yes
 
115
54.2%
No
97
45.8%
Cost
yes
139
65.6%
No
73
34.4%
Based on the responses each respondent gave, a count was made for each respondent. The aggregate scores of each of the 212 respondents were used to calculate mean and other descriptive statistics. Based on these results and the operational definition, respondents who have regularly practiced simulation more than the mean among the questions that were aimed at assessing practice of clinical simulation were to be considered as good practitioner. Thus, out of the 212 respondents, 1.5 was the mean score among the 17 practice related questions that were asked.

Educators practice towards clinical simulation

One hundred forty-four (47.2%) and fifty-nine (27.8%) participants reported that they sometimes and never plan for simulation teaching, respectively, while only 22 (10.4%) of the participants always plan for simulation teaching. Similarly, one hundred one (47.6%) participants responded that they sometimes plan specific activities to ensure that their simulation teaching skills are up-to-date with the latest clinical evidence, while only 18% of the respondents always plan specific activities to ensure that their simulation practice is up-to-date. On the contrary, nearly only one-fifth of the participants responded that they would give an opportunity for the students to return to demonstration and provide feedback for the students about their performance.
Respondents were also categorized as those who are good practitioner and those who are poor practitioner about clinical simulation. Thus, 121(57.1%) of the 212 respondents were classified as good practitioner, whereas the remaining 43% at (95% CI: 36% −50%) of the respondents were considered to be poor practitioner of clinical simulation (Table 2) (Tables 3 and 4).
Table 2
Practice toward clinical simulation among educators Bahir Dar, May Ethiopia, n = 212
Variable
Never
Sometimes
Regularly
Always
I prepare a written plan for simulation teaching in the program in which I teach
59(27.8%)
100(47.2%)
31(14.6%)
22(10.4%)
I make the module learning objectives available to my students
20(9.4%)
109(51.4%)
43(20.3%)
40(18.9%)
I plan specific activities to ensure that my simulation teaching skills are up-to-date with the latest clinical evidence
14(6.6%)
101(47.6%)
66(6.6%)
31(14.6%)
I have highlighted the learning objectives to be achieved by my students in the session
15(7%)
101(47.6%)
61(28.8%)
35(16.5%)
I have prepared a set of teaching skills checklist for evaluating my students
12(5.7%)
92(43.4%)
71(33.5%)
37(17.5%)
I have a written plan for the ongoing assessment of practical competencies of my students
14(6.6%)
102(48%)
75(35.4%)
21(10%)
I identify the individual learning needs of each student for whom I have a practical teaching responsibility,
14(6.6%)
99(46.7%)
72(34%)
27(12.7%)
I assess the suitability of assigning a student at simulation center
14(6.6%)
87(41%)
80(37.7%)
31(14.6%)
I assess the degree to which simulation teaching time conforms to their regulatory body
18(8.5%)
83(39.2%)
85(40.1%)
26(12.3%)
I often provide procedure checklist to the learners to the learners
13(6%)
38(17.9%)
113(53%)
48(22.6%)
I engage in self-reflection about my own strengths and weaknesses
15(7%)
81(38.2%)
80(37.7%)
36(17%)
I update my personal knowledge of current best clinical practices
14(6.6%)
17(8%)
95(44.8%)
86(41%)
I give my students return demonstration to improve skill by clinical simulation
21(9.9%)
56(26.4%)
90(42.5%)
45(21.2%)
I debrief with my students about the clinical encounters
13(6%)
71(33.5%)
83(39.2%)
45(21.2%)
I give ongoing feedback
16(7.5%)
62(29.2%)
92(43.4%)
42(19.8%)
I give my students the time and opportunity to reflect upon and discuss
16(7.5%)
72(34%)
78(36.8%)
46(21.7%)
I evaluate the effectiveness of my student skills assessment instruments on a regular basis
13(6%)
16(7.5%)
83(39.2%)
100(47.2%)
Table 3
Factors associated with clinical simulation towards undergraduate nurse and midwife health Bahir Dar, Ethiopia
Variable
Simulation practice
COR
AOR
P value
 < mean
 ≥ mean
Institution
Government
52
52
1
Private
39
69
1.77 (1.02- 3.065)
1.55 (0.83–2.91)
0.17
Experience
1–5 years
16
7
0.18 (0.06–498)
0.21(.07–64)
0.006
6–10 years
56
67
0.48 (0.255-.92)
0.57(0.28–1.19
0.135
 > 10 years
19
47
1
Educational qualification
Masters
64
108
1
B.Sc
21
10
0.28 (0.125–0.64)
0.37(0.15–0.93)
0.034
Clinical Nurse
6
3
0.30 (0.07–1.23)
0.37(0.07–1.89)
0.23
Training
Yes
38
70
1
No
53
51
0.52 (0.30-.906)
0.52 (0.27-.98)
.044
Perceived cost of skill lab materials
Yes
73
66
0.30 (0.16-.55))
0.37(0.18–0.74)
.005
No
18
55
1
Support of administration
Yes
41
75
0.50 (0.28-.87)
0.53(0.28–1.01)
.055
No
50
46
1
No
67
79
1
Age of respondent
20–30
46
53
0.38 (0.13–1.14)
0.36(.0981.304)
0.12
31–40
40
53
0.44 (015–1.32)
0.42 (.12–1.54)
0.19
 > 41
5
15
   
Table 4
Socio-demographic characteristics of nurse educators interviewed in Bahir Dar, Ethiopia, May 2022
Variable
Category
Frequency (n = 8)
Percentage
Educational Institution
Government
2
25%
Private
6
75%
Gender
Male
3
38%
Female
5
63%
Educational Qualification
Clinical Nurse
2
25%
B.Sc. Nurse
2
25%
M.Sc
4
50%
Teaching Experience
6 months-1 year
3
38%
2–5 years
2
25%
Above 5 years
3
8%

Factors associated towards clinical simulation practice

After being adjusted for important covariates in a multivariable logistic regression model, work experience, educational qualification, training, and cost show statistical association with level of practice.
The odds of having good practice among respondents with experience less than five years, 21% times less likely as compared to respondents with greater than ten years teaching experience. (AOR = 0.21; 95% CI: 0.07–64) The odds of having good practice among respondents with Bachelor degree in simulation practice is by 37% less likely as compared to respondents with master degree (AOR = 0.37; (95% CI) = 0.15–0.93). The odds of having good practice training by 52% less likely as compared to those respondents who did take training in simulation practice. (AOR = 0.52; (95% CI) = (0.27–0.98). The odds of cost having good practice with respond “yes” is by 37% less likely as compared to those who respond “No” (AOR = 0.37; (95% CI) = (0.18–0.74).

Qualitative part

Qualitative data collection method: In-depth interviews were conducted with the support of an interview guide. These interviews were audio-recorded, and non-verbal information was captured by taking extra notes to support the recording. Interviews and questioners were done concurrently.
Sampling framework: A purposive sampling method was used, from which six institutions were selected and sampled. Two department heads, three technical assistants, and three instructors formed a sample of eight participants, determined according to data saturation.
Target group: Nurse and midwife educators, managers, and technical staff who were actively involved in clinical simulation exercises.
Exclusion criteria: Individuals not involved in clinical simulation or who were not healthcare professionals.

Result of qualitative part

The qualitative part explored the effectiveness of clinical simulation. Eight in-depth interview participants: two department heads, three technical assistants and three instructors participated in the interview. Two individual selected from government institution whereas the other selected from private college. Interviews exceeding eight were not considered because of the potential for the redundancy of information and the likelihood of data saturation. Through thematic analysis, four main themes were identified: inadequate infrastructure, large class sizes, and insufficient staff training illustrated barriers to effective implementation. And instructional resources; staff and student preparation and human resources; management support and student evaluation system. Each theme is discussed in the following section.

Infrastructure and instructional resources

The participants felt that insufficient infrastructure and instructional resources had created a big barrier to effective clinical simulation. Participant 5: "Large class size and shortage of classrooms are common problems we are facing in our institute. Besides, some equipment is lacking.”
Researcher interpretation: This underlines that logistical issues at classroom level, such as lack of space and delays in securing appropriate equipment, are significant barriers to offering optimum simulation sessions. These factors limit students' opportunities for repeated practice in developing their skills. These, along with a mismatch in the number of classrooms vis-à-vis the students attending them, make simulation experiences overcrowded and less efficient.
One respondent discussed resources not being appropriately utilized:
Participant quote: "I believe that it is not effective because we are not using the setup appropriately. It will be effective if we use it properly in the future" (Participant 2).
Researcher interpretation: This response shows that even when infrastructure is available, poor utilization of the resource blunts the potential impact of clinical simulation. The implication here is that clear protocols and better coordination are still needed to optimize resource utilization.

Staff and student training and readiness

The majority of the participants showed that training plays a pivotal role in ensuring that both educators and students are equipped for simulation-based learning.
Participant quote: "In my department, there is only one assistant. The number of teachers and assistants is not comparable" (Participant 5).
Researcher: It is the shortage of skilled staff that directly influences scalability and quality of simulation sessions. This calls for increased investment in human resources, especially in terms of skilled laboratory assistants and simulation facilitators, to help educators conduct effective sessions.
Notwithstanding these challenges, some participants expressed their belief in the effectiveness of simulation:
Participant quote: "I believe that it is effective because it increases students' confidence. Besides, it minimizes errors" (Participant 8).
Researcher interpretation: The response further delineates how clinical simulation training positively influences the outcome of students' confidence and reduces clinical errors, though this is only achieved when training for staff and students becomes regular.

Management support

Management support was viewed as inconsistent, with participants citing irregular training schedules and insufficient institutional backing.
Participant quote: "The support is not considerable, and even the training is arranged rarely. Due to a lack of training, some instruments are in an idle stage, and the students cannot learn properly" (Participant 7).
Researcher interpretation: The infrequency of training and lack of managerial support create obstacles to making optimal use of simulation equipment. In that respect, it was indicative of a structured program for professional development along with sustained managerial involvement.
Another participant reported dependence on external organizations for training:
Participant quote: "The support is somehow good, and we take training when some organizations volunteer to train us" (Participant 5).
Researcher interpretation: This portrays the reliance on external entities for training, which suggests that no active steps are taken from within the institution to maintain and develop simulation practices. Such dependence may be reduced by establishing mechanisms for training internally.

Student evaluation methods

The participants also reported that, in most simulation sessions, evaluation is done by standardized checklists:
Participant quote: "We use a checklist and evaluate students at the middle and end of the session. Since they do the practice repeatedly, we give them comments while following them" (Participant 6).
Researcher interpretation: Checklists provide a systematic means of evaluating student performance, but embedding continuous formative feedback within the sessions may promote more effective learning as students are afforded an opportunity to address the deficits in real-time.
One such response was that
Participant quote: "We assess the students using a checklist in the middle and at the end of the session" (Participant 4).
Researcher interpretation: While this approach emphasizes periodic assessment, it also represents a missed opportunity for dynamic, ongoing feedback. Incorporating more iterative mechanisms for evaluation could further enhance student engagement and learning outcomes.

Summary of findings

The qualitative findings reveal that, though clinical simulation has been considered an important educational modality, it is nevertheless still bound by problems in infrastructure, resource availability, and staff training that impede its effectiveness. Directed institutional and managerial interventions can much better its implementation and outcomes of simulation-based learning.

Complement quantitative and qualitative findings

Broader context

Where the quantitative data identified the scope of problems such as poor practice and training deficits, qualitative interviews exposed why these problems did not improve, such as resource constraints and lack of managerial support.

Actions able insights

The statistical evidence for the correlation of training and better practices was attested by comments from participants insisting that the training programs ought to be a continuous process.

Validation

Qualitative themes such as infrastructure and resources were further used to make the data robust and actionable.
Together, these approaches put up a comprehensive perspective whereby the quantitative data outlined "what", while the qualitative data investigated "why" and "how" behind the findings. This synergy strengthens the conclusions and recommendations toward better clinical simulation practices.

Complementary insights

Quantitative findings

These provided measurable data on the prevalence and effectiveness of clinical simulation practices. For example, 57% of respondents were categorized as having good practices, while 43% had poor practices, based on survey scores.
Statistical associations highlighted factors like educational qualifications, training, and cost affecting simulation practice. For instance, educators with a bachelor's degree were 37% less likely to have good practices compared to those with a master's degree.

Qualitative findings

These added depth to the quantitative data by uncovering underlying reasons for the challenges identified. Themes such as inadequate infrastructure, large class sizes, and insufficient staff training illustrated barriers to effective implementation.
Participants highlighted specific issues, like delays in equipment procurement, lack of classroom space, and insufficient training opportunities, which explained the quantitative trends.

How they complement each other

Broader context

Quantitative data identified the extent of issues like poor practice and training deficits, while qualitative interviews explained why these issues persisted (e.g., resource shortages or lack of management support).

Actionable insights

Statistical evidence of the association between training and better practices was supported by participants' comments emphasizing the need for ongoing training programs.

Validation

Qualitative themes validated quantitative findings, such as the importance of infrastructure and resources, making the data more robust and actionable.

Discussion

The main purpose of this research was to examine the overall practice and associated factors for nurse and midwife educators’ regarding clinical simulation education. There have been few studies in both the national and international contexts that specifically aim to assess the existing practice of nurse and midwife educators towards clinical simulation education; this study attempted to address this by assessing the level of practice and towards clinical simulation and identifying factors associated with clinical simulation. The study showed that 43% at (95% CI:36% −50%) of participants had poor practice, Accordingly, the odds of having poor simulation practice for a male instructor are less likely as compared with a female. It is also shown that teaching experience and the poor practice of clinical simulation have a direct correlation. Those with less than five years of teaching experience have a 21% lower simulation practice than those with more than ten years of experience. This study is supported by a study conducted in America [19].
The present study showed that those who said cost affects the implementation of clinical simulation were 37% less likely to practice as compared to those who said cost has no effect. It is also supported by our qualitative analysis. Most of the participants reported shortages of skill lab equipment, classrooms, and modules affected their performance in clinical simulation practice. Previous studies [2022]supported the effect of cost, teaching experience, and other related factors on the practice of simulation.
The quantitative analysis clearly showed that a teacher with sufficient training was more effective in clinical simulation than those who had not received training. The majority of respondents had no continuous training in the institution, according to the qualitative research that also supports this finding. Students were unable to learn effectively utilizing simulation instruments due to a lack of training and unknown instrumentation. This result is in line with a Chinese study that showed how simulative training can greatly increase students' competence in comparison to no-gain training [23].
The majority of interviewees stated that simulation-based classes are successful, but they are ineffective in their context. Basically, they have reasoned that the shortage of simulation equipment, the slow purchasing process, and large class size are dominantly affecting the implementation of simulation classes. This finding is in line with a report by [24, 25].They specifically reported that the prospective benefit of increased competence and safe practice of practitioners following exposure to simulation was specifically reported. There is an indication that the skills acquired during simulation exercises will be transferred to the clinical setting to the advantage of patient care. Although there was some ambivalence regarding the realism of the simulator and the case scenarios, overall the simulated learning was considered to be an authentic learning experience.
Furthermore, simulation classes will be effective if they are supported with the preparation of a session plan and syllabus. Accordingly, these materials have a direct impact on the effectiveness of simulation-based classes. Similar findings were compiled by [23, 25]. Which specifically disclosed that simulation-based nursing educational interventions were effective with particularly large effects in the psychomotor domain?
Finally, regarding the evaluation of students during simulation classes, the participants of this study have indicated that they evaluate students using a checklist at the middle and end of the session. Similarly, the report by [25].The study has figured out that for nurse educators, clinical simulation experiences offer an opportunity to assess and measure a student’s integration of multiple professional competencies. A thoughtful and informed evaluation plan is necessary to maximize the individual student learning experience and improve the effective application of simulation as a teaching and learning strategy. We investigated the usefulness of clinical simulation practice in the qualitative section. The majority of the participants indicated that their performance has been impacted by the lack of skill lab equipment, classrooms, and modules under the theme of infrastructure and educational resources. The efficiency of clinical simulation is greatly influenced by staff, student readiness, and human resources in general, and staff and student readiness in particular. The majority of respondents said there are not enough skilled laboratory assistants. The manager's support is generally decent, and we occasionally attend training. Most of the respondents said they utilize a checklist and assess pupils halfway through and at the end of the class. Since the activity is repeated by the students, the evaluation lasts the entire class period. A handful of them said they evaluated the pupils at the conclusion of the exercise.

Strength of the study

It can be utilized as a background resource for other academics because it is a current study issue.

Conclusion and recommendation

Conclusion

The majority of educators were enthusiastic about integrating clinical simulation in the department, according to the study's findings. More than half of the respondents had solid experience with clinical simulation, despite the fact that there are still steps to be taken.
It was found that the educators were enthusiastic about including clinical simulation in their lesson plans and curricula. Additionally, it was noted that clinical simulation training generally improves. Moreover, it was found that master's degree holders tend to practice clinical simulation more effectively than bachelor's degree holders. Every nurse and midwife educator we spoke with agreed that qualified individuals should play the roles of teachers and mentors in clinical simulations. The biggest obstacles to the effective implementation of clinical simulation were determined to be the size of the class and the unavailability of materials. Finally, according to our findings, clinical simulation practice is unproductive because of the sizeable class numbers, a dearth of resources, and a drawn-out purchasing procedure.

Recommendation

For private colleges and universities

Resource Allocation: Emphasize efficient utilization of available resources, as private institutions might face budgetary limitations but may have more flexibility in budgetary allocations.
Infrastructure Development: Encourage partnerships with health organizations to co-fund simulation facilities.
Training Initiatives: Emphasize the significance of internal training programs because dependence on external trainers can become burdensome.

For public colleges and universities

Governmental support: Advocate for more governmental funding and policy changes to further support simulation-based education.
Standardization: Emphasize the development of standardized protocols of simulation, which then need to be integrated into the curriculum for complete utilization of the public available resources.
Scaling Up: Scaling up for large class sizes by using scalable solutions like rotational access to simulation labs.

Acknowledgements

First of all, we would like to give our warmest gratitude to Bahir Dar University, College of Medicine and Health Sciences, School of health sciences, department of Nursing. Secondly, ABHSC, BHSC, GBHSC, KBHSC, RBHSC and Amhara Public Health Institute for their assistance during data collection. Finally, our special thanks and appreciation goes to the supervisor and the data collectors of the study.

Declarations

The study was conducted in accordance with the 1964 Declaration of Helsinki and the following amendments. Ethical clearance was obtained from the Institutional Review Board (IRB) of Bahir Dar University. Permission letters were obtained from each of the six participating colleges. During data collection, informed oral consent was obtained from each study participant. Besides, it was waived by the IRB of Bahir Dar University. All collected data was coded and locked in a separate room, and computer data was secured by a personal password to maintain privacy. Moreover, confidentiality was maintained through anonymity and privacy measures to protect respondents' rights during the research process. The confidentiality of the information was maintained throughout the study.
Not applicable.

Competing interests

The authors declare no competing interests.
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Literatur
1.
Zurück zum Zitat Koukourikos K, Tsaloglidou A, Kourkouta L, Papathanasiou IV, Iliadis C, Fratzana A, Panagiotou A. Simulation in clinical nursing education. Acta Informatica Medica. 2021;29(1):15.CrossRefPubMedPubMedCentral Koukourikos K, Tsaloglidou A, Kourkouta L, Papathanasiou IV, Iliadis C, Fratzana A, Panagiotou A. Simulation in clinical nursing education. Acta Informatica Medica. 2021;29(1):15.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Ross JG. Simulation and psychomotor skill acquisition: a review of the literature. Clin Simul Nurs. 2012;8(9):e429–35.CrossRef Ross JG. Simulation and psychomotor skill acquisition: a review of the literature. Clin Simul Nurs. 2012;8(9):e429–35.CrossRef
3.
Zurück zum Zitat Erlam G, Edgecombe K, Seaton P, Monahan K, Meyer S, LePage S. Clinical simulation in nursing: a literature review and guidelines for practice. 2013. Erlam G, Edgecombe K, Seaton P, Monahan K, Meyer S, LePage S. Clinical simulation in nursing: a literature review and guidelines for practice. 2013.
4.
Zurück zum Zitat Edward MI, Chukwuka L. Simulation in nursing education: implications for nurse educators and nursing practice. Afr J Health Nurs. 2020;3(1):13–23. Edward MI, Chukwuka L. Simulation in nursing education: implications for nurse educators and nursing practice. Afr J Health Nurs. 2020;3(1):13–23.
5.
Zurück zum Zitat Randall DNP CS: A Simulation to Improve the Clinical Nursing Instructor’s Teaching of Ethics to Students in the Clinical Setting. University of Southern Maine; 2015. Randall DNP CS: A Simulation to Improve the Clinical Nursing Instructor’s Teaching of Ethics to Students in the Clinical Setting. University of Southern Maine; 2015.
6.
Zurück zum Zitat Miles DA. Simulation learning and transfer to the clinical environment in undergraduate nursing students. Loyola University Chicago; 2016. Miles DA. Simulation learning and transfer to the clinical environment in undergraduate nursing students. Loyola University Chicago; 2016.
7.
Zurück zum Zitat Steinhubel JL. Evaluating the use of simulation with beginning nursing students. Ball State University; 2012. Steinhubel JL. Evaluating the use of simulation with beginning nursing students. Ball State University; 2012.
8.
Zurück zum Zitat Tuttle RE. The impact of* simulation in nursing education on the self-efficacy and learner satisfaction of nursing students. Capella University; 2009. Tuttle RE. The impact of* simulation in nursing education on the self-efficacy and learner satisfaction of nursing students. Capella University; 2009.
9.
Zurück zum Zitat Oliveira SNd, Massaroli A, Martini JG, Rodrigues J. From theory to practice, operating the clinical simulation in Nursing teaching. Revista Brasileira de Enfermagem. 2018;71:1791–8.CrossRefPubMed Oliveira SNd, Massaroli A, Martini JG, Rodrigues J. From theory to practice, operating the clinical simulation in Nursing teaching. Revista Brasileira de Enfermagem. 2018;71:1791–8.CrossRefPubMed
10.
Zurück zum Zitat Fluharty L, Hayes AS, Milgrom L, Malarney K, Smith D, Reklau MA, Jeffries P, McNelis AM. A multisite, multi–academic track evaluation of end-of-life simulation for nursing education. Clin Simul Nurs. 2012;8(4):e135–43.CrossRef Fluharty L, Hayes AS, Milgrom L, Malarney K, Smith D, Reklau MA, Jeffries P, McNelis AM. A multisite, multi–academic track evaluation of end-of-life simulation for nursing education. Clin Simul Nurs. 2012;8(4):e135–43.CrossRef
11.
Zurück zum Zitat Gedlu E, Tadesse A, Cayea D, Doherty M, Bekele A, Mekasha A, Derbew M, Jung J. Introduction of simulation based medical education at addis ababa University Collage of Health Sciences: Experience and Challenge. Ethiop Med J. 2015;(Suppl 2):1-8. Gedlu E, Tadesse A, Cayea D, Doherty M, Bekele A, Mekasha A, Derbew M, Jung J. Introduction of simulation based medical education at addis ababa University Collage of Health Sciences: Experience and Challenge. Ethiop Med J. 2015;(Suppl 2):1-8.
12.
Zurück zum Zitat Cantrell MA. The importance of debriefing in clinical simulations. Clin Simul Nurs. 2008;4(2):e19–23.CrossRef Cantrell MA. The importance of debriefing in clinical simulations. Clin Simul Nurs. 2008;4(2):e19–23.CrossRef
13.
Zurück zum Zitat Waxman K, Bowler F, Forneris SG, Kardong-Edgren S, Rizzolo MA. Simulation as a nursing education disrupter. Nurs Adm Q. 2019;43(4):300–5.CrossRefPubMed Waxman K, Bowler F, Forneris SG, Kardong-Edgren S, Rizzolo MA. Simulation as a nursing education disrupter. Nurs Adm Q. 2019;43(4):300–5.CrossRefPubMed
14.
Zurück zum Zitat Biruk AF. Waste management in the case of Bahir Dar City near Lake Tana shore in northwestern Ethiopia: a review. Afr J Environ Sci Technol. 2017;11(8):393–412.CrossRef Biruk AF. Waste management in the case of Bahir Dar City near Lake Tana shore in northwestern Ethiopia: a review. Afr J Environ Sci Technol. 2017;11(8):393–412.CrossRef
15.
Zurück zum Zitat Gcawu SN, van Rooyen DR, Jordan P, ten Ham-Baloyi W. Clinical teaching practices of nurse educators at a public college of nursing in South Africa: a survey study. Nurse Educ Pract. 2021;50: 102935.CrossRefPubMed Gcawu SN, van Rooyen DR, Jordan P, ten Ham-Baloyi W. Clinical teaching practices of nurse educators at a public college of nursing in South Africa: a survey study. Nurse Educ Pract. 2021;50: 102935.CrossRefPubMed
16.
Zurück zum Zitat Raemer D, Anderson M, Cheng A, Fanning R, Nadkarni V, Savoldelli G. Research regarding debriefing as part of the learning process. Simulation in Healthcare. 2011;6(7):S52–7.CrossRefPubMed Raemer D, Anderson M, Cheng A, Fanning R, Nadkarni V, Savoldelli G. Research regarding debriefing as part of the learning process. Simulation in Healthcare. 2011;6(7):S52–7.CrossRefPubMed
17.
Zurück zum Zitat Yuan HB, Williams B, Fang J. The contribution of high-fidelity simulation to nursing students’ confidence and competence: a systematic review. Int Nurs Rev. 2012;59(1):26–33.CrossRef Yuan HB, Williams B, Fang J. The contribution of high-fidelity simulation to nursing students’ confidence and competence: a systematic review. Int Nurs Rev. 2012;59(1):26–33.CrossRef
18.
Zurück zum Zitat Walker S, Thrasher AB. Use of simulation to develop clinical skills: part 1, low-fidelity simulators. Int J Athl Ther Train. 2013;18(2):20–3.CrossRef Walker S, Thrasher AB. Use of simulation to develop clinical skills: part 1, low-fidelity simulators. Int J Athl Ther Train. 2013;18(2):20–3.CrossRef
19.
Zurück zum Zitat Kini T, Podolsky A. Teaching experience and teacher effectiveness. Am Educ. 2016;40(3):3. Kini T, Podolsky A. Teaching experience and teacher effectiveness. Am Educ. 2016;40(3):3.
20.
Zurück zum Zitat Li H, Kong X, Sun L, Zhu Y, Li B. Major educational factors associated with nursing adverse events by nursing students undergoing clinical practice: a descriptive study. Nurse Educ Today. 2021;98: 104738.CrossRefPubMed Li H, Kong X, Sun L, Zhu Y, Li B. Major educational factors associated with nursing adverse events by nursing students undergoing clinical practice: a descriptive study. Nurse Educ Today. 2021;98: 104738.CrossRefPubMed
21.
Zurück zum Zitat Traynor M, Gallagher A, Martin L, Smyth S. From novice to expert: using simulators to enhance practical skill. Br J Nurs. 2010;19(22):1422–6.PubMed Traynor M, Gallagher A, Martin L, Smyth S. From novice to expert: using simulators to enhance practical skill. Br J Nurs. 2010;19(22):1422–6.PubMed
22.
Zurück zum Zitat Kim J, Park J-H, Shin S. Effectiveness of simulation-based nursing education depending on fidelity: a meta-analysis. BMC Med Educ. 2016;16(1):1–8.CrossRef Kim J, Park J-H, Shin S. Effectiveness of simulation-based nursing education depending on fidelity: a meta-analysis. BMC Med Educ. 2016;16(1):1–8.CrossRef
23.
Zurück zum Zitat Zhang MY, Cheng X, Xu AD, Luo LP, Yang X. Clinical simulation training improves the clinical performance of Chinese medical students. Med Educ Online. 2015;20(1):28796.CrossRefPubMed Zhang MY, Cheng X, Xu AD, Luo LP, Yang X. Clinical simulation training improves the clinical performance of Chinese medical students. Med Educ Online. 2015;20(1):28796.CrossRefPubMed
24.
Zurück zum Zitat McCaughey CS, Traynor MK. The role of simulation in nurse education. Nurse Educ Today. 2010;30(8):827–32.CrossRefPubMed McCaughey CS, Traynor MK. The role of simulation in nurse education. Nurse Educ Today. 2010;30(8):827–32.CrossRefPubMed
25.
Zurück zum Zitat Prion S. A practical framework for evaluating the impact of clinical simulation experiences in prelicensure nursing education. Clin Simul Nurs. 2008;4(3):e69–78.CrossRef Prion S. A practical framework for evaluating the impact of clinical simulation experiences in prelicensure nursing education. Clin Simul Nurs. 2008;4(3):e69–78.CrossRef
Metadaten
Titel
Clinical simulation practice and associated factors among nurse and midwife educators working at teaching institutions in Bahir Dar, Ethiopia: a mixed methods study
verfasst von
Melkam Alebachew Wubale
Ashagre Molla Assaye
Haileyesus Gedamu Wondyifraw
Bazezew Asfaw Guadie
Meseret Mekuriaw Beyene
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2024
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-024-02640-2