In this descriptive-analytical study, all staff nurses working in emergency departments of three hospitals affiliated to Dezful University of Medical Sciences, were studied from July to September 2019. Generally, from 90 nurses working in emergency department, 70 nurses were selected using census method based on entrance conditions. The inclusion criteria for the study were as follows: (1) providing written consent; (2) having a bachelor’s or master’s degree in nursing and having at least two years of work experience in emergency.
The research environment was the emergency departments of hospitals including Dezful (Ganjaviyan), Gotvand (Karun), and Shoush (Nezam-Mafi). After obtaining of permission from the Ethics Committee, we coordinated with nursing directors to prepare a list of permanent nurses in their department. Nurses from all emergency departments in each hospital who fulfilled the inclusion criteria were included in the study. In the next step, two supervisors from nursing faculties held an introduction meeting for participants to explain the study’s objectives, ensure the confidentiality of personal information and obtain written informed consent.
After the anonymous questionnaires were distributed among the nurses, the questionnaires were sent to head nurses. The participants were given one week to fill out and return the questionnaires. If the questionnaire was not returned after the specified period, the subject was excluded from the study. Also, questionnaires were coded and given to the head nurses. They were asked to complete them under their supervision during one week.
The data collection tool was a two-part questionnaire. The first part was related to respondents’ demographic information, such as their age, gender, degree, marital status, field of study, employment status, work experience in an emergency department. The second part of the questionnaire was a nurse competence scale (NCS), which assessed the nurses’ clinical competency. The NCS is based on Benner’s theory as provided by Meretoja et al. (2004) and consists of 73 items that measure nurses’ self-perceived competence in seven categories. These categories include the fields of patient support and assistance (7 skills), education and guidance (16 skills), diagnostic actions (7 skills), managing clinical situations (8 skills), therapeutic measures (10 skills), quality assurance (6 skills), and occupational and organizational tasks (19 skills) (
10).
Self-perceived competence was measured through a visual analog scale (from 0 - 100, with 0 being a very low level of competence and 100 being a very high level of competence). Frequency of use was measured through a 4-point Likert-type scale (0 = not applicable in my work, 1 = used very seldom, 2 = used occasionally, 3 = used very often in my work). The original NCS methodology breaks the self-assessed level of competence into four overlapping integer groups: 0 to 25 is low, 25 to 50 is quite good, 50 to 75 is good, and 75 to 100 is very good.
The reliability of this tool was estimated by Meretoja et al. (2004) as having a Cronbach’s alpha of 0.79 to 0.99. Furthermore, its internal consistency was reported as being between 0.79 and 0.91 (
10). To compensate for the nurse's lack of English language knowledge, we used a translated form of the questionnaire. In a pilot study, the questionnaires were distributed among 30 nurses. The reliability of the translated questionnaire was between 0.70 and 0.85 in all seven areas, which is an acceptable level. This questionnaire was distributed to 11 members of the nursing faculty which confirmed its content validity. The tool’s reliability was calculated using Cronbach’s alpha. Likewise, the questionnaire was distributed among 30 nurses, and its reliability was calculated as 0.96.
In this study, each nurse was asked to identify their level of competence on a visual analogue scale (VAS) (0 - 100), on which values 0 - 25, 26 - 50, 51 - 75, and 76 - 100 represent weak, moderate, good, and excellent levels of competence, respectively. Moreover, nurses’ clinical competence was ranked in four levels based on the frequency of actual use in clinical practice (0 = not applicable in my work, 1 = used very seldom, 2 = used occasionally, 3 = used very often in my work).
3.1. Data Analysis
The data were analyzed using SPSS software version 16. Additionally, the descriptive statistics including frequency, mean, and standard deviation were used to describe the demographic characteristics of the subjects and evaluate the clinical competencies. Furthermore, the inferential statistics including independent t-test was employed to compare clinical competency by self-assessment and assessment by the head nurse.