4.1. Study area
The study was conducted in Addis Ababa city administration which is the largest and the most populated city in the country and where Africa Union is headquartered. It is home to almost all ethnic groups in Ethiopia. According to the 2021 population and housing census program a total population of 3,147,000 and estimated 530 km2 with altitude ranging from 2200 to 3000m above sea level, an average temperature 22.8 Co. In Addis Ababa city administration, there are around Twenty-Five private and three public, and one defense/military nursing training institution providing undergraduate nursing training program. For the current study, four randomly selected training colleges were included (namely: Addis Ababa University, Menelik II Health Science College, Alkan Health Science, and Ayer Tena Health Science College). Currently, 135 nursing students at Addis Ababa University, 140 nursing students at Alkan HSC, 120 nursing students at Menelik II HSC, and 269 nursing students at Ayer Tena HSC are attending the training program 15, 20.
4.2. Study design and period
A descriptive cross-sectional study design was conducted among randomly selected Bachelor of Science in nursing students from February 19 to March 19, 2024.
4.3. Study population and eligibility criteria
The study population consisted of Bachelor of Science in nursing students in their 2nd, 3rd, and 4th years from the four randomly selected health science colleges in Addis Ababa who met the eligibility criteria. Only those nursing students currently attending the specified classes during the data collection period were included in the study; first-year students were excluded because they were undertaking a basic course.
4.4. Sample Size Determination, Sampling Procedure, and technique
The sample size was determined using a single population proportion formula while considering the following assumptions: a 95% confidence interval (CI), a 5% margin of error, and a prevalence rate (P) of 50%. Consequently, very limited research has been conducted on the perceptions and associated factors regarding the nursing profession among health science students in the study area.
The formula for calculating the minimum sample size (n) was applied, and after accounting for a 10% nonresponse rate, the final sample size was determined to be 267 students.
The study involved a total of seventeen government-owned and private-owned health science colleges (HSCs) that offer nursing training programs in Addis Ababa. Simple random sampling was used to select four out of the 17 nursing colleges. The total number of nursing students at the selected health science colleges was 664. Students were then distributed proportionally across the four selected colleges, with second-, third-, and fourth-year students being selected using simple random sampling techniques.
4.5. Definition of terms / Operational definition
Nursing student – refers to any person who is officially enrolled in the College of Nursing in order to pursue a BSN degree. This includes registered nurses (RNs), students enrolled in distance education programs, and special students, whether they are pursuing a BSN degree alone or in conjunction with another degree.
Nursing profession –would refer to the holistic conscious and continuous caring for and helping the patient 22, 23.
Perception – it refers an idea or image that is formed as result of the way you see or understand something 24.
Positive perception: –Those who were scored greater than or equal to mean value25, 26.
Negative perception –Those who were scored score less than mean value26, 27.
4.6. Variables
Dependent variable: Nursing student perception
Independent variables: Age, Sex, Year of study, social and other factors
4.7. Data collection instrument and procedure
4.7.1. Data collection instrument
Data were gathered using a structured questionnaire adapted from prior studies22,24.. The questionnaires were prepared in English and consisted of three parts.
The first part collected socio-demographic characteristics, including age, sex, year of education, religion, and reasons for enrollment in the Faculty of Nursing, family reactions to the students' enrollment, and prior information received before joining the department.
The second section included 22 items assessing nursing students’ perceptions, using a five-point Likert scale. This scale ranged from "strongly disagree" (1) to "strongly agree" (5), allowing participants to indicate their feelings about each issue. Perception toward the nursing profession was measured with these 22 items. The mean and standard deviation for each respondent were computed, resulting in an average mean of 3.04 and a standard deviation of 1.19. A score equal to or above the mean was considered indicative of a positive perception, while a score below the mean indicated a negative perception of the nursing profession.
4.7.2. Data collection procedure
Students who met the inclusion criteria were selected using systematic random sampling from a sample size that was proportionally distributed across each year. Relevant information on student perceptions and associated factors was gathered through a self-administered structured questionnaire.
Two nursing students and one senior supervisor with a BSc in Nursing and experience in data collection were selected and trained for this purpose. The data collectors and the supervisor received half a day of training on the relevance of the study, the confidentiality of client information, eligibility criteria, and data collection methods.
4.8. Data processing and analysis
The collected data were checked for completeness, relevance, and accuracy before analysis, interpretation, and organization. The Statistical Package for Social Sciences (SPSS) version 26 was used to enter and analyze the data. Descriptive data analysis results were presented using frequency, percentage, mean, and standard deviation.
To determine whether there was a relationship between professional perception and the independent variables, bivariate logistic regression with a 95% confidence interval (CI) was employed. Following this, multiple logistic regression was used to analyze all variables with p-values less than 0.25; a p-value of ≤ 0.05 with a 95% confidence interval was considered statistically significant. Multicollinearity among independent variables and model fit were also examined.
Ultimately, the findings were compared and discussed in relation to those of other studies, and the results were presented using descriptive text, tables, graphs, and charts.
4.9. Data quality control
Two days of training were conducted for two data collectors and two supervisors on the content of data collection materials, clarity, and data collection procedures by the principal investigator. A pretest was implemented on 10% of the total sample at Yanet Health Science College to examine the validity and reliability of the methods and materials. The principal investigator made the necessary amendments based on the findings.
The overall Cronbach's Alpha for this tool during the pretest was 0.622 (62.2%), prompting further adjustments. The accuracy of the questionnaire and the average time taken to complete it were also estimated accordingly.