Design
The study uses a cross-sectional, descriptive correlational study design because the researcher will be gathering recorded information about their nurse participants without altering the study setting. In the other word, this was a cross-sectional and descriptive correlational study, in which nurses’ perception of patient safety culture and its relationship with job satisfaction and adverse events at university hospital’s emergency departments in Iran was examined. This design allows the strongest evidence-based information to answer the research question.
Sample And Setting
The study setting was hospital emergency department of Tabriz University of Medical Sciences in northwest Iran. In this study, the nurses employed in emergency departments in Tabriz, East Azerbaijan province of northwest Iran that had inclusion criteria were selected through proportionate randomized method. Firstly, hospitals of Tabriz were chosen. Afterward, sampling was done randomly according to each place's proportion.[22] Inclusion criteria were as follows: Having a desire to participate in the study, having at least six months of clinical work experience in the emergency department of one of the medical training centers of Tabriz University of Medical Sciences, holding at least B.Sc. degree in nursing.
Measuring Instrument
The instrument in this study was a four-section questionnaire. The Hospital Survey on Patient Safety Culture (HSOPSC), nurses' perceptions of job satisfaction, and adverse events questionnaires were used to collect data.
First section included demographic and professional variables of hospital emergency nurses (such as gender, age, sex, the highest education in nursing, workplace, history of clinical work in the hospital emergency, hours worked per week, etc.).
The second part included questions from the Persian version of the Hospital Survey on Patient Safety Culture (HSOPSC). Originally developed in the USA, is used worldwide and in the Middle East area to investigate and analyze PSC in hospital settings, particularly from the nurse's point of view [23]. Persian version of this was translated by Moghri et al. [24].
HSOPSC measured perception about safety culture, 42 items were used in 12 dimensions including "feedback". about errors", "communication openness", "staffing", "management support for patient safety", "transitions and handovers", "nonpunitive response to errors", "organizational learning", "supervisor/manager expectations", "teamwork across units", "teamwork within units", "frequency of events reported" and "overall perception of safety" [25]. The survey used a Likert scale of 5 points (from 1 means 'strongly disagree' to 5 means 'strongly agree').
Some items were represented as (from 1 means 'always' to 5 means 'poor'. The score of all items in each dimension reflected the hospital's strengths and areas that need enhancements. To categorize the average score, if the average score the dimension was less than 2.5, that dimension is considered Weak and were flagged as needing improvement, the score between 2.5–3.75 is considered average and the dimension score above 3.75 is considered good illustrated the positive areas representing the strongly perceived dimensions [26].
Section 3 was the nurses' perceptions of job satisfaction questionnaire [27]. It has 40 items with a six-point Liker scale (6 = fully agree, 5 = almost agree, 4 = slightly agree, 3 = slightly disagree, 2 = almost disagree, 1 = definitely agree).
According to this questionnaire, the minimum score is 40 and the maximum is 240; 240 means that the participant has the highest satisfaction score, whereas a score of 40 means that the lowest satisfaction score is obtained. The tool encompasses 9 measurable domains.
Section 4 included 6 adverse events include medication errors such as wrong prescription of medication (medicine error[ME]), patient falls (PF), side effects of medication, injury to the patient during care, infusion or transfusion reaction (IR/TR), and patients or their family complaints (PC/FC), which often occur in the emergency department [28]. The frequencies of adverse events were scored as ``never happen = 0'', ``several times a year = 1'', ''once a month or less = 2'', ''several times a month = 3”, “once a week = 4”, “several times a week = 5”, ``everyday = 6'' in the past year using a 7-level rating scale estimated by nurses [28].
Ethical Considerations
Before collecting the data, the Regional Research Ethics Committee of Tabriz University of Medical Sciences issued the permission for conducting this study (Approval ID: IR.TBZMED.REC.1398.949; Approval Date: 2019-12-09). A written informed consent was obtained from each study participant after explaining the objective and rationale of the study. All the data collected from participating nurses was recorded anonymously and confidentiality was assured throughout the study.
Sample Size
The sample size was calculated by the statistics specialist as 165 participants using the formula of \(n=\frac{{\left({Z}_{1-\frac{\alpha }{2}}+{Z}_{1-\beta }\right)}^{2}}{{\left(\omega \right)}^{2}}+3\) ; \(=\frac{{\left(1.96+1.28\right)}^{2}}{{\left(0.255\right)}^{2}}+3=165\). Taking an anticipated dropout rate of 5% into consideration, the sample size was increased to at least 174 participants. One hundred eighty participants were selected.
Data Collection And Analysis
Data collection was conducted during the several months. This was due to wave of the COVID-19 pandemic. To collect the data, the researcher attended in selected teaching hospitals from October 2020 to February 2021. After explaining the study purposes and method as well as obtaining written informed consent from them, participants were asked to fill out the questionnaires. They were assured that the data would only be used for study purposes and writing their names on the questionnaire was not needed. Before distributing the questionnaires, participants' agreement on the time of completion was obtained; therefore, they could fill out the forms at peace and without worrying about jeopardizing the patients' care.
Collected data were analyzed using IBM SPSS Statistics. It was done using independent t-test, Pearson, and Spearman correlation coefficient. P values less than 0.05 were considered to be significant.