This cross-sectional study was conducted in a teaching hospital in Kashan, Iran, from December to March 2020. The study was conducted in two parts: Self-report and observation. In the first stage, samples were selected based on the quota assigned to each ward through a table of random numbers to assess nurses’ CC. Then, in the second stage, samples were selected to observe the CP of the nurses selected in the first stage according to the quota assigned to each ward, using a table of random numbers.
Based on the results of a similar study (
29) and the research community (n = 460, the entire nursing community of the hospital), P = 0.48, d = 0.05, and z = 1.96, 209 individuals were calculated in the formula for calculating the sample size, and 220 subjects were considered with a 5% chance of dropping out.
Considering the difficulty of observing 220 subjects, the researchers tried to select several samples to observe the performance based on the results of a pilot study. An initial pilot study was conducted on eight nurses selected by the convenience sampling method to calculate the sample size based on CP, whose CP mean scores were 64.21 ± 10.27. The sample size was calculated using a formula. Considering z = 1.96, s = 10.27, and d = 3, 46 subjects were estimated to be the necessary sample size, and 50 subjects were considered for further certainty. Pilot study samples were not included in the main sample.
The inclusion criteria were consent to participate in the study, at least a bachelor’s degree in nursing, employment in the clinical care field (nurses were not included in the study due to their managerial positions), a minimum of 3 months of work experience (to gain experience), and willingness to participate in the study. A personal information questionnaire containing seven items on gender, age, marital status, ward, employment status, work experience, and work experience in the current ward was used to determine demographic characteristics.
The CC of nurses was measured using a questionnaire prepared by Meretoja et al. based on the theory of “from beginner to expert”. Seventy-three items are included in the original version of this questionnaire (
30). The questionnaire was previously translated by Bahreini et al. (
19), and its content validity and reliability coefficient were evaluated within the range of 0.70 - 0.85. Participants are asked to rate each item on a scale of 0 to 100. Accordingly, overall scores of 25 ≥, 26 - 50, 51 - 75, and 76 ≤ are regarded as weak, average, sound, and excellent CC, respectively. The CC questionnaire was approved with 25 items and a content validity ratio (CVR) and content validity index (CVI) of 0.86 and 0.98, respectively. To determine the reliability of the questionnaire, 10 nurses (not included in the final sample) completed the questionnaire on two occasions for 2 weeks, and its reliability coefficient was calculated at 0.83 (
31).
Observational checklists consisting of 29 items were developed to assess nurses’ performance based on their duties and capabilities. In addition to the existing tools, the researchers decided to develop a more comprehensive tool. When the nurse observes the performance, the option “yes” is selected; if the option is not performed, the option “no” is selected. The option “no item” is considered if there is no item. Moreover, 1 point, 0 point, and no point are considered for “yes”, “no”, and “no item” options, respectively. As a result, the total score is calculated; the numerator is the number of functions the nurse must perform. The nurse receives a score based on her performance. For example, a nurse only completes 15 of the 29 items on the checklist, although 20 items are required. After answering 15 yes questions out of 20, she/he will receive a score of 0.75. The resulting score is then multiplied by 100 to determine the basis for the score of 100. Accordingly, the nurse’s performance is evaluated based on the score of this checklist, which ranges from 0 (minimum score) to 100 (maximum score). The corresponding checklist was provided to 10 Faculty of Nursing and Midwifery professors to determine the necessity and clarity of the CVR and CVI. Nine professors confirmed the content validity of the checklist with a CVR and CVI of 0.89. The reliability coefficient was calculated using two observers as sole observers.
For the collection of data related to CC, a self-report questionnaire was provided for the nurses. The researcher first gathered a list of nurses working in clinical wards from the nursing office. According to the ward’s quota, a random number table online was used to assign numbers to the names of nurses in each ward based on their quota. Afterward, the selected nurses of each ward were approached, and after explaining the purpose of the study and obtaining written consent from them, they were invited to complete a questionnaire. The nurses were given the CC assessment questionnaire to complete on their own in a quiet and peaceful environment where they had more free time.
To investigate nurses’ CP, the first researcher visited internal, surgical, critical care, and emergency wards, observed their activity from the beginning of their shift to the end and evaluated their performance based on an observational checklist. The observation was made indirectly. A few days before data collection began, the observer (first author) was continuously present in each ward during different work shifts to prevent the researcher’s presence from affecting the nurses’ performance and behavior. This was performed to normalize and reduce the effect of his presence on nurses’ actual performance as much as possible.
The Ethics Committee of Kashan University of Medical Sciences approved this study (ethics code: IR.KAUMS.NUHEPM.REC.1397.35). The study participants were provided with explanations about the project’s objectives, voluntary participation in the study, no need to enter their names and surnames, the confidentiality of the information, and its non-impact on occupational status, salary, benefits, and the annual evaluation of the organization. A t-test, analysis of variance (ANOVA), Pearson correlations, and Spearman correlations were used to analyze the data using SPSS software (version 16).