Identifying Critical Dimensions of the Patient Safety Culture Affecting Nurses’ Turnover

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RESEARCH ARTICLE

Identifying Critical Dimensions of the Patient Safety Culture Affecting Nurses’ Turnover

The Open Public Health Journal 13 Nov 2024 RESEARCH ARTICLE DOI: 10.2174/0118749445347449241029211703

Abstract

Background

A lack of understanding of the causes of turnover among nurses is the main threat to patients, as it directly affects the care that staff provide based on the patient safety culture (PSC). Therefore, it is necessary to identify critical dimensions affecting nurses’ turnover.

Methodology

This study uses the internal data sets of the Chinese version of the safety attitudes questionnaire of a regional teaching hospital in Taiwan from 2015 to 2018 focusing on the turnover of nursing staff who left their jobs in the next coming year (from 2016 to 2019) by employing linear regression with forward selection.

Results

Perceptions of management are the first critical variable to be identified followed by safety climate and teamwork climate. These three dimensions positively influence the overall satisfaction of the PSC from the viewpoints of nurses’ turnover. In contrast, this study concludes that working conditions and job satisfaction might be the dimensions to influence nurses’ leave in this case hospital.

Conclusion

Improving working conditions and job satisfaction to result in a higher overall satisfaction of the PSC might be an approach to reduce nurses’ turnover.

Keywords: Nurses’ turnover, Patient safety culture, Regional teaching hospital, Safety attitudes questionnaire, Linear regression, Climate.

1. INTRODUCTION

Patient safety has become an important health concern because a large number of injuries and deaths are related to healthcare in hospitals. Safety culture in each organization is a basic determinant in developing medical services and patient safety. Most importantly, a medical organization that has a more open culture and reflective attitude toward patient safety can not only help staff learn from failures but also reduce patients’ harmful consequences [1]. A positive safety culture can predict potential threats to guide medical staff’s behaviors and also provide hospital strategies for medical care and patient safety [2, 3]. Therefore, the concept of enhancing the patient safety culture (PSC) is essential to relentlessly improve the quality of medical services in healthcare organizations worldwide [4].

Nurses are the frontline to contact patients and deliver medical services and are the core personnel to reduce medical errors [5, 6]. Badr et al. [7] stated that nurses would have better perceptions of patient safety because they interact with patients directly, and this is regarded as an important factor in studying the PSC. In contrast, an increased workload of nursing staff may lead to more medical errors [8]. At present, the shortage of nursing staff and a high rate of turnover intention have become a concern for healthcare organizations worldwide as well as in Taiwan [9, 10]. Chang et al. [11] argued that nurses’ turnover appears to lead to increased job dissatisfaction, poor organizational commitment, and higher patient dissatisfaction. Besides, a relationship between negative job satisfaction and turnover intention has been found, and negative job satisfaction can predict nurse turnover intention [12-14].

Many studies have provided evidence of the benefits of establishing the PSC by using the safety attitudes questionnaire (SAQ), most of which focused on the perceptions of patient safety-centered care among medical staff [1, 15] and their potential turnover intention [11, 16]. Based on our knowledge, studies identifying the critical factors influencing the nurses’ leave by investigating the SAQ have not been found. A lack of understanding of the causes of nurses’ turnover is the main threat to patients, as it directly affects the care that staff provide. With that in mind, this study intends to find critical dimensions to influence nurses’ turnover by using the Chinese version of the safety attitudes questionnaire (CSAQ) currently used in Taiwan to assess the PSC in hospitals.

2. LITERATURE REVIEW ON PATIENT SAFETY CULTURE AND NURSING TURNOVER

2.1. Patient Safety Culture and Safety Attitudes Questionnaire

Safety culture is a collective output of the values, abilities, attitudes, and behavior patterns of individuals and groups that determine the commitment to safety, safety plan, and proficiency in implementation in an organization [2]. Patient safety is the behavior of hospitals to avoid, prevent, or correct adverse events and injuries during the treatment [17], and the PSC is an essential factor in determining the treatment and reduction of adverse events in hospitals [18]. If medical staff have a good attitude toward patient safety, the relationship between members can be harmonious, which is helpful in reducing medical malpractice and high compensation cost [19-21]. Potential safety threats to patients may be increased if the PSC is not concerned and properly evaluated [22]. In other words, the establishment of the PSC not only is the responsibility of the management of medical organizations but also includes all medical staff to mutually maintain medical quality in order to reduce the occurrence of medical errors [23]. When hospital management has a commitment to patient safety, physicians and nurses might be more likely to satisfy their jobs [24].

The SAQ containing six dimesons including teamwork climate, safety climate, perceptions of management, job satisfaction, stress recognition, and working conditions were developed by Sexton et al. [25] and has been validated cross-culturally and translated by many languages such as English, Turkish, Swedish, Norwegian, and Chinese with high internal consistency and reliability (e.g. Deilkås and Hofoss [26]; Huang et al. [5]; Ulrich and Kear [27-31]. In 2007, the SAQ was translated forward and backward and verified by the Joint Commission of Taiwan to become the CSAQ with six dimensions and 30 questions [31-33]. To further reflect medical staff’s perceptions toward the PSC better in Taiwan, the JCT borrowed three dimensions, including hospital management support for patient safety, teamwork across hospital units, and hospital handoffs and transitions, from the survey designed by the Agency for Healthcare Research and Quality (AHRQ) in the United States [34-36]. This version has nine dimensions and 41 questions. However, the second version of the CSQ did not explicitly discuss the medical staff’s emotional conditions during the medical settings. As a matter of fact, medical staff suffering from emotional distress are linked to adverse events. Ample research has highlighted the threats of medical staff burnout in Taiwan, leading to negative outcomes including medical mistakes, higher medical staff turnover, absenteeism, shortage of nursing staff, accidents, and failure to meet patient needs [5, 9, 19, 37]. Therefore, three hospital level aspects of safety culture from the AHRQ were removed in 2014 and emotional exhaustion and work-life balance have been added to form the third edition of the CSAQ with eight dimensions and 46 questions, as presented in Table 1 [33].

The initial SAQ and CSAQ both use questions and dimensions to assess the PSC in healthcare organizations. However, few studies have explicitly assessed the overall perception (namely satisfaction) of the PSC. Spreng et al. [38] emphasized that using the overall experience to replace individual attributes is a better approach to evaluate the overall assessment. In addition, Oliver [39] suggested a similar philosophy by using a summative evaluation of the experience of all products and services rather than using a single feature. As a result, the item of the overall satisfaction with the PSC to measure the overall view of the PSC is added to the CSAQ in the current study. Therefore, the final questionnaire has 47 questions.

2.2. Nurses’ Turnover

The nursing staff’s turnover rate in recent years has remained high threatening the medical care system and the quality of patient care [40]. Though turnover intention does not necessarily mean the employees’ actual turnover, it is found that turnover intention is a powerful indicator to predict their future behaviors [41, 42]. Takase [43] defined turnover intention as an employee who wants to leave the current workplace. Numerous factors might increase the possibility of nursing staff turnover, such as heavy workload, high pressure, and low job satisfaction [16, 44]. The nursing staff’s departure leads to a shortage that impacts the quality of care and patient safety negatively and increases the additional cost of new personnel training [45, 46]. Trivellas et al. [47] showed that when a nurse has greater job pressure and lower job satisfaction; the nurses’ turnover rate would be higher. Moreover, job satisfaction and organizational commitment have important causal relationships with turnover intention [42]. When medical staff have excessive work pressure and low job satisfaction, the quality of care for patients would be affected negatively and the medical staff’s turnover intention would be increased [48].

To effectively reduce the turnover rate, healthcare organizations need to reduce the employees’ turnover intention [49]. Mobley et al. [50] stated that satisfaction is the essential psychological variable related to turnover at the individual level. To sum up, previous studies mainly focused on either the nursing staff’s turnover intention or how to retain nursing staff. No further investigation using the SAQ results filled out by the nursing staff who later resigned was found.

Table 1.
The Chinese version of the SAQ developed in 2014.
Teamwork climate (1) Nurse input is well received in this clinical area
(2) In this clinical area, it is difficult to speak up if I perceive a problem with patient care*
(3) Disagreements in this clinical area are resolved appropriately (i.e. not who is right, but what is best for the patient)
(4) I have the support I need from other personnel to care for patients
(5) It is easy for personnel here to ask questions when there is something that they do not understand
(6) The physicians and nurses here work together as a well-coordinated team
Safety climate (7) I would feel safe being treated here as a patient
(8) Medical errors are handled appropriately in this clinical area
(9) I know the proper channels to direct questions regarding patient safety in this clinical area
(10) I receive appropriate feedback about my performance
(11) In this clinical area, it is difficult to discuss errors*
(12) I am encouraged by my colleagues to report any patient safety concerns I may have
(13) The culture in this clinical area makes it easy to learn from the errors of others
Job satisfaction (14) I like my job
(15) Working here is like being part of a large family
(16) This is a good place to work
(17) I am proud to work in this clinical area
(18) Morale in this clinical area is high
Stress recognition (19) When my workload becomes excessive, my performance is impaired
(20) I am less effective at work when fatigued
(21) I am more likely to make errors in tense or hostile situations (e.g. emergency resuscitation, seizure)
(22) Fatigue impairs my performance during emergency situations
Perceptions of management (23) Managers support my daily efforts
(24) Managers do not knowingly compromise patient safety
(25) I get adequate, timely information about events that might affect my work
(26) The levels of staffing in this clinical area are sufficient to handle the number of patients
Working conditions (27) Problem personnel are dealt with constructively
(28) This hospital does a good job of training new personnel
(29) All the necessary information for diagnostic and therapeutic decisions is routinely available to me
(30) Trainees in my discipline are adequately supervised
Emotional exhaustion (31) I feel like I'm at the end of my rope*
(32) I feel burned out from my work*
(33) I feel frustrated by my job*
(34) I feel I'm working too hard on my job*
(35) I feel emotionally drained from my work*
(36) I feel used up at the end of the workday*
(37) I feel fatigued when I get up in the morning and have to face another day on the job*
(38) Working with people all day is really a strain for me*
(39) Working with people directly puts too much stress on me*
Work-life balance (40) Missed meals
(41) A hasty meal
(42) All-day work without any rest
(43) Individual or family plan change due to work factors
(44) Poor sleep
(45) Less than five-hour sleep at night
(46) Work overtime
Note: * Indicates the question item is worded negatively.

3. RESEARCH METHOD

A regional teaching hospital in this study evaluates its PSC by the CSAQ in October-November annually. The purpose of this study is to observe critical dimensions affecting nurses’ turnover such that the subject of this study is the nurses who filled up the CSAQ in the previous year and left their jobs in the next coming year. That is, the internal data sets of the CSAQ from 2015 to 2018 focusing on the turnover of nursing staff who left their jobs in the next year, i.e., from 2016 to 2019 are used from this case hospital in Taiwan. The effective numbers of the questionnaires for inclusions focusing on nurses’ turnover from 2015 to 2018 are 36, 47, 68, and 45, respectively. Detailed information about the nursing staff’s turnover in this hospital from 2016 to 2019 is provided in Table 2. There are eleven negative-wording questions such that the numerical score for each question from each respondent is reversed. The overall score for each dimension is to sum the scores from the individual questions under that particular dimension. Moreover, this hospital has one additional question to evaluate the overall satisfaction of the PSC.

Table 2.
Demographic variables of nurses’ turnover.
Demographic variable Frequency Percentage
Gender - -
Male 12 6.1
Female 184 93.9
Age - -
Less than 20 years old 9 4.6
21-30 years old 139 70.9
31-40 years old 33 16.8
41-50 years old 13 6.6
51-60 years old 2 1
61 years old and above 0 0
Supervisor/Manager - -
Yes 11 5.6
No 185 94.4
Respondents reporting events in the past 12 months - -
No 120 61.2
1-5 68 34.7
6-10 6 3.1
11-15 2 1
More than16 0 0
Job status - -
Full Time 138 70.4
Contract 11 5.6
Part Time 11 5.6
Agency 36 18.4
Experience in organization - -
Less than 6 months 38 19.4
6 to 11 months 16 8.2
1 to 2 years 78 39.8
3 to 4 years 29 14.8
5 to 10 years 22 11.2
11 to 20 years 11 5.6
21 years or more 2 1
Experience in position - -
Less than 6 months 42 21.4
6 to 11 months 18 9.2
1 to 2 years 81 41.3
3 to 4 years 27 13.8
5 to 10 years 23 11.7
11 to 20 years 5 2.6
21 years or more 0 0
Education - -
Junior High School and below 0 0
Senior High School 0 0
College/University 191 97.4
Graduate School and above 5 2.6
Direct patient contact - -
No 5 2.6
Rare 13 6.6
Very Often 178 90.8
Year of resignation - -
2016 36 18.4
2017 47 24
2018 68 34.7
2019 45 23
Table 3.
Coefficients of the third model.
Model Unstandardized coefficients Standardized coefficients t Sig.
B Standard error Beta
(Constant) 0.159 0.217 - 0.733 0.464
Perceptions of management 0.109 0.020 0.401 5.346 <0.001
Safety climate 0.036 0.016 0.224 2.265 0.025
Teamwork climate 0.037 0.018 0.190 2.007 0.046

Linear regression with forward selection is used to find essential dimension(s) that impact the overall satisfaction of the PSC from viewpoints of the nursing staff’s turnover. The forward selection enables the decision maker to figure out which dimension has a significant influence directly on the overall satisfaction [51, 52]. The independent variables are eight dimensions, while the dependent variable is the overall satisfaction of the PSC. The probability of F to enter (F test) less than 0.050 is the criterion to add variable(s) into a linear regression model.

4. RESULTS

The number of nurses’ turnover from 2016 to 2019 included in this study is 196 by summing the numbers from these four years (36, 47, 68, and 45) as shown in Table 1. Among them, female nurses are the majority (93.9%) with 21-30 years (70.9%) and most of them are not supervisors or managers with 94.4%. More than 60% of nurses do not report any event in the past 12 months, and 70.4% of nurses are full-time. Both nurses’ experience in organization and experience in position fall in 1 to 2 years with 39.8% and 41.3%, respectively. Most of the nurses have a college or university degree (97.4%) and directly contact patients very often (90.8%).

To check the severity of the multicollinearity of input variables, variance inflation factor (VIF) is employed, and the multicollinearity is relatively low with the VIF values less than 10 [53]. The presence of autocorrelation in the residuals of variables can be evaluated by the Durbin-Watson statistic. The statistics value is close to 2, i.e., 2.011, showing residuals are not correlated [54]. Three models are found with α = 0.05, and the respective adjusted R square values are 0.505, 0.559, and 0.568. That is, Model 3 is the best. From Table 3, the standardized coefficients of perceptions of management, safety climate, and teamwork climate are 0.401, 0.224, and 0.190, indicating that these three dimensions influence the overall satisfaction of the PSC positively. In addition, the larger the standardized coefficients are, the greater the impact the dimension has. The results in Table 3 show that perceptions of management are the first critical variable to be selected followed by safety climate and teamwork climate. Based on the viewpoints of the nursing staff’s turnover, perceptions of management positively impact the overall satisfaction of the PSC. Safety culture and teamwork climate also have positive influences on the overall satisfaction of the PSC.

5. DISCUSSION

No studies were found to focus on the nurses’ turnover based on the CSAQ. Thus, it is a pioneer study to explore how the nurses’ turnover reacts to the PSC. Perceptions of management are the most essential dimension to positively affect the overall satisfaction of the PSC from the viewpoints of nurses’ turnover followed by safety climate and teamwork climate. The study conducted by Cheng et al. [51] who used the same hospital to analyze nurses’ overall satisfaction with the PSC in 2015 and 2016 can be the benchmark to know if nurses’ turnover might have different perceptions.

Cheng et al. [51] summarized that working conditions were the most critical dimension in 2015 followed by job satisfaction. Both dimensions positively influence the overall satisfaction from nurses’ viewpoints. In 2016, three dimensions are essentially important to affect overall satisfaction positively, i.e., working conditions, safety climate, and perceptions of management. That is, working conditions might be the major dimension to affect the overall satisfaction of the entire nurses. It is worth noting that this study focuses on the perceptions of nurses’ turnover, whereas Cheng et al. [51] used the perceptions of the overall nurses including nurses who left their jobs in the coming years. Obviously, the viewpoints of the overall satisfaction between the nurses’ turnover and the entire nurses are somewhat different as shown in Table 4. Specifically, the numbers of participating nurses in Cheng et al. [51] are 358 and 404 in 2015 and 2016, respectively. In our study, the numbers of nurses’ turnover are 36 and 47 in 2016 and 2017, respectively. The percentages of nurses’ turnover in this case hospital are roughly 10.0% and 11.6%, respectively. That is, the overall satisfaction affecting the PSC evaluated by Cheng et al. [51] was from the majority of nurses who still work in this hospital for the coming years. That is, the dimensions summarized in Table 4 and found by Cheng et al. [51] could be the references that nurses are willing to work in this regional teaching hospital later. Therefore, the significant differences in terms of dimensions between nurses’ turnover and the entire nurses are working conditions and job satisfaction. That is, working conditions and job satisfaction might be the most important dimensions to result in a higher nurse turnover rate since these two dimensions were not found from the viewpoints of nurses’ turnover as shown in Table 4.

Table 4.
Critical dimensions to influence the overall satisfaction between two studies.
- Our findings Cheng et al. [51]
Critical dimensions Perceptions of management
safety climate
teamwork climate
Working conditions (2015, 2016)
Job satisfaction (2016)
Safety climate (2016)
Perceptions of management (2016)

Working conditions consist of the following four questions as shown in Table 1 including “Problem personnel are dealt with constructively by our unit”, “This hospital does a good job of training new personnel”, “All the necessary information for diagnostic and therapeutic decisions is routinely available to me” and “Trainees in my discipline are adequately supervised”. That is, the relationship between the overall satisfaction and working conditions is not strong enough for the viewpoints of nurses’ turnover. Hospital management can pay attention to these questions to reduce nurses’ turnover by improving nurses’ working conditions. On the other hand, the findings from Yahya Muabbar and Zayyan Alsharqi [13] and Ahanchian and Ganji [12] summarized that there is a direct relationship between job satisfaction and turnover intention. Chen et al. [14] further emphasized that job satisfaction could predict nurses’ turnover intention negatively. That is, our findings might indicate that nurses’ job satisfaction could be an indicator to result in not only their turnover intention but also their departure in the later stage.

CONCLUSION

This study focuses on the perceptions of nurses’ turnover from a regional teaching hospital in Taiwan to find critical dimensions influencing the overall satisfaction of the PSC based on the CSAQ. Perceptions of management, safety climate, and teamwork climate are found to positively affect the overall satisfaction of the PSC from the viewpoints of nurses’ turnover. In contrast, Cheng et al. [51] found that working conditions and job satisfaction were the two critical dimensions influencing the overall satisfaction of the PSC positively from the nurses. That is, nurses’ turnover might lack of working conditions and job satisfaction for the overall satisfaction of the PSC in this regional teaching hospital. Working conditions and job satisfaction could be two essential dimensions to affect nurses’ turnover. Therefore, monitoring working conditions and job satisfaction relentlessly might be an approach to reduce nurses’ turnover in this hospital.

AUTHORS' CONTRIBUTION

It is hereby acknowledged that all authors have accepted responsibility for the manuscript's content and consented to its submission. They have meticulously reviewed all results and unanimously approved the final version of the manuscript.

LIST OF ABBREVIATIONS

PSC = Patient Safety Culture
SAQ = Safety Attitudes Questionnaire
CSAQ = Chinese Version of the Safety Attitudes Questionnaire

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This study was approved by Cheng Ching General Hospital in Taichung City, Taiwan with protocol number HP190028 on June 20, 2019.

HUMAN AND ANIMAL RIGHTS

All procedures performed in studies involving human participants were in accordance with the ethical standards of institutional and/or research committees and with the 1975 Declaration of Helsinki, as revised in 2013.

CONSENT FOR PUBLICATION

Not applicable.

AVAILABILITY OF DATA AND MATERIALS

The data of current study are available from author, [H-H.W.], on a reasonable request.

FUNDING

None.

CONFLICT OF INTEREST

Dr. Hsin-Hung Wu is the Editorial Advisory Board member of The Open Public Health Journal.

ACKNOWLEDGEMENTS

Declared none.

REFERENCES

1
Lee YC, Huang CH, Wu CF, Hsueh HW, Wu HH. A longitudinal study of identifying critical variables influencing patient safety culture from nurses’ viewpoints in Taiwan. J Test Eval 2019; 47(5): 3387-98.
2
Nieva VF, Sorra J. Safety culture assessment: A tool for improving patient safety in healthcare organizations. Qual Saf Health Care 2003; 12(90002)(Suppl. 2): 17ii-23.
3
Braithwaite J, Herkes J, Ludlow K, Testa L, Lamprell G. Association between organisational and workplace cultures, and patient outcomes: Systematic review. BMJ Open 2017; 7(11): e017708.
4
Li L, Wu HH, Huang CH, Zou Y, Li XY. Key drivers of promoting patient safety culture from the perspective of medical staff at a tertiary hospital in China. TQM J 2023; 35(6): 1556-67.
5
Huang CH, Wu HH, Lee YC, Van Nieuwenhuyse I, Lin MC, Wu CF. Patient safety in work environments: Perceptions of pediatric healthcare providers in Taiwan. J Pediatr Nurs 2020; 53: 6-13.
6
Top M, Tekingündüz S. Patient safety culture in a Turkish public hospital: A study of nurses’ perceptions about patient safety. Syst Pract Action Res 2015; 28(2): 87-110.
7
Badr HE, AlFadalah T, El-Jardali F. Towards promoting patient safety practices: Baseline assessment of patient safety culture in three private hospitals. Int J Healthc Manag 2020; 13(3): 207-14.
8
Thompson BJ. Does work-induced fatigue accumulate across three compressed 12 hour shifts in hospital nurses and aides? PLoS One 2019; 14(2): e0211715.
9
Lin TC, Lin HS, Cheng SF, Wu LM, Ou-Yang MC. Work stress, occupational burnout and depression levels: A clinical study of paediatric intensive care unit nurses in T aiwan. J Clin Nurs 2016; 25(7-8): 1120-30.
10
Niskala J, Kanste O, Tomietto M, et al. Interventions to improve nurses’ job satisfaction: A systematic review and meta‐analysis. J Adv Nurs 2020; 76(7): 1498-508.
11
Chang HY, Shyu YIL, Wong MK, Chu TL, Lo YY, Teng CI. How does burnout impact the three components of nursing professional commitment? Scand J Caring Sci 2017; 31(4): 1003-11.
12
Ahanchian M, Ganji SFG. The effect of perceptions of ethical context on job satisfaction with emphasis on work values: The case of female staff at an Iranian university. Int J Work Organ Emot 2017; 8(2): 118-30.
13
Yahya Muabbar H, Zayyan Alsharqi O. The impact of short-term solutions of nursing shortage on nursing outcome, nurse perceived quality of care, and patient safety. American Journal of Nursing Research 2020; 9(2): 35-44.
14
Chen IH, Brown R, Bowers BJ, Chang WY. Work‐to‐family conflict as a mediator of the relationship between job satisfaction and turnover intention. J Adv Nurs 2015; 71(10): 2350-63.
15
Mannion R, Davies H. Understanding organisational culture for healthcare quality improvement. BMJ 2018; 363: k4907.
16
Lee EK, Kim JS. Nursing stress factors affecting turnover intention among hospital nurses. Int J Nurs Pract 2020; 26(6): e12819.
17
Wieke Noviyanti L, Ahsan A, Sudartya TS. Exploring the relationship between nurses’ communication satisfaction and patient safety culture. J Public Health Res 2021; 10(2): 125-8.
18
Kakemam E, Gharaee H, Rajabi MR, et al. Nurses’ perception of patient safety culture and its relationship with adverse events: A national questionnaire survey in Iran. BMC Nurs 2021; 20(1): 60.
19
Huang CH, Wu HH, Lee YC. The perceptions of patient safety culture: A difference between physicians and nurses in Taiwan. Appl Nurs Res 2018; 40: 39-44.
20
Wu CF, Wu HH, Lee YC, Huang CH. What attributes determine overall satisfaction in patient safety culture? an empirical study of the perceptions of hospital staff in Taiwan. J Test Eval 2021; 49(1): 629-39.
21
Huang CH, Wu HH, Lee YC, Li X. The critical role of leadership in patient safety culture: A mediation analysis of management influence on safety factors. Risk Manag Healthc Policy 2024; 17: 513-23.
22
Khosravizadeh O, Vatankhah S, Jahanpour M, Yousefzadeh N, Shahsavari S, Yari S. Predicting inpatient length of stay in Iranian hospital: Conceptualization and validation. Asian Pac J Cancer Prev 2020; 21(8): 2439-46.
23
Weng SJ, Kim SH, Wu CL. Underlying influence of perception of management leadership on patient safety climate in healthcare organizations - A mediation analysis approach. Int J Qual Health Care 2017; 29(1): 111-6.
24
Wang X, Chontawan R, Nantsupawat R. Transformational leadership: Effect on the job satisfaction of registered nurses in a hospital in China. J Adv Nurs 2012; 68(2): 444-51.
25
Sexton JB, Helmreich RL, Neilands TB, et al. The safety attitudes questionnaire: Psychometric properties, benchmarking data, and emerging research. BMC Health Serv Res 2006; 6(1): 44.
26
Deilkås ET, Hofoss D. Psychometric properties of the Norwegian version of the safety attitudes questionnaire (SAQ), generic version (short form 2006). BMC Health Serv Res 2008; 8(1): 191.
27
Ulrich B, Kear T. Patient safety and patient safety culture: Foundations of excellent health care delivery. Nephrol Nurs J 2014; 41(5): 447-56.
28
Kaya S, Barsbay S, Karabulut E. The turkish version of the safety attitudes questionnaire: Psychometric properties and baseline data. Qual Saf Health Care 2010; 19(6): 572-7.
29
Huang CH, Wang Y, Wu HH, Yii-Ching L. Assessment of patient safety culture during COVID-19: A cross-sectional study in a tertiary a-level hospital in China. TQM J 2022; 34(5): 1189-201.
30
Lee WC, Wung HY, Liao HH, et al. Hospital safety culture in Taiwan: A nationwide survey using Chinese version safety attitude questionnaire. BMC Health Serv Res 2010; 10(1): 234.
31
Wu HH, Lee YC, Huang CH, Li L. Healthcare professional’s perception of patient safety assessed by the hospital survey on patient safety culture in Taiwan: A systematic review. TQM J 2023; 35(3): 615-29.
32
Tang YT, Wu HH, Lee YC, Huang CH. Establishing a culture of patient safety: Further psychometric validation of the revised safety attitudes questionnaire in Taiwan. Engineering Letters 2022; 30(2): 522-7.
33
Tang YT, Wu HH, Lee YC, Huang CH. Evaluating the psychometric properties of the Chinese version of the safety attitudes questionnaire among medical staff in Taiwan. J Health Organ Manag 2023; 37(1): 84-95.
34
Huang CH, Wu HH, Chou CYH, Dai H, Lee YC. The perceptions of physicians and nurses regarding the establishment of patient safety in a regional teaching hospital in Taiwan. Iran J Public Health 2018; 47(6): 852-60.
35
Huang CH, Wu HH, Lee YC. A comparative study on patient safety culture among high-risk hospital staff in the context of the COVID-19 and non-COVID-19 pandemic: A cross-sectional study in Taiwan. Front Public Health 2023; 11: 1200764.
36
Lee YC, Shieh JI, Huang CH, Wang CY, Wu HH. Analyzing patient safety culture from viewpoints of physicians and nurses - a case of a regional teaching hospital in Taiwan. J Healthc Qual 2017; 39(5): 294-306.
37
Langtree T, Birks M, Biedermann N. “What a nurse suffers”: Care left undone in seventeenth‐century Madrid. Nurs Philos 2020; 21(1): e12274.
38
Spreng RA, MacKenzie SB, Olshavsky RW. A reexamination of the determinants of consumer satisfaction. J Mark 1996; 60(3): 15-32.
39
Oliver RL. Satisfaction: A Behavioral Perspective on the Consumer: A Behavioral Perspective on the Consumer 2nd ed. 2010.
40
Samur M, Seren Intepeler S. Nurses’ view of their work environment, health and safety: A qualitative study. J Nurs Manag 2019; 27(7): 1400-8.
41
Chen X, Ran L, Zhang Y, et al. Moderating role of job satisfaction on turnover intention and burnout among workers in primary care institutions: A cross-sectional study. BMC Public Health 2019; 19(1): 1526.
42
Irvine DM, Evans MG. Job satisfaction and turnover among nurses: Integrating research findings across studies. Nurs Res 1995; 44(4): 246-53.
43
Takase M. A concept analysis of turnover intention: Implications for nursing management. Collegian 2010; 17(1): 3-12.
44
Yang H, Lv J, Zhou X, Liu H, Mi B. Validation of work pressure and associated factors influencing hospital nurse turnover: A cross-sectional investigation in Shaanxi Province, China. BMC Health Serv Res 2017; 17(1): 112.
45
Adriaenssens J, Hamelink A, Bogaert PV. Predictors of occupational stress and well-being in first-line nurse managers: A cross-sectional survey study. Int J Nurs Stud 2017; 73: 85-92.
46
Kaihlanen AM, Elovainio M, Haavisto E, Salminen L, Sinervo T. Final clinical practicum, transition experience and turnover intentions among newly graduated nurses: A cross sectional study. Nurse Educ Today 2020; 84: 104245.
47
Trivellas P, Reklitis P, Platis C. The effect of job related stress on employees’ satisfaction: A survey in health care. Procedia Soc Behav Sci 2013; 73: 718-26.
48
Yang S, Qiu Y, He J. Meta-analysis of the impact of role stress on the turnover intention of medical staff in tertiary hospitals. Ann Palliat Med 2021; 10(1): 469-78.
49
Hom PW, Griffeth RW. Structural equations modeling test of a turnover theory: Cross-sectional and longitudinal analyses. J Appl Psychol 1991; 76(3): 350-66.
50
Mobley WH, Griffeth RW, Hand HH, Meglino BM. Review and conceptual analysis of the employee turnover process. Psychol Bull 1979; 86(3): 493-522.
51
Cheng CY, Lee YC, Huang CH, Wu HH. Assessing nurses’ overall satisfaction of patient safety culture from a regional teaching hospital in Taiwan. Int J Ind Syst Eng 2020; 36(4): 537-48.
52
Cheng CY, Lee YC, Huang CH, Wu HH. Assessing the medical staff’s overall satisfaction of patient safety culture from a regional teaching hospital in Taiwan. J Test Eval 2020; 48(6): 4153-62.
53
Kutner MH, Nachtsheim CJ, Neter J. Applied Linear Regression Models 4th ed. 2004.
54
Montgomery DC, Peck EA, Vining GG. Introduction to Linear Regression Analysis 3rd ed. 2001.