Introduction
Mental disorders are increasingly acknowledged as a significant contributor to the global disease burden, and more than one billion people worldwide suffer from mental disorders [
1], resulting in 418 million disability-adjusted life years [
2]. People with mental disorders face an elevated risk of chronic illness and suicide, coupled with a shortened life expectancy [
3‐
6]. By 2030, mental disorders will be number one in the global burden of disease, with economic costs rising to $6 trillion [
2,
6]. The burden of mental illness has become an urgent global public health issue, and the Lancet Global Commission on Sustainable Development of Mental Health emphasizes that mental health care is a fundamental human right, and should be integrated into the global response to other health priorities [
7].
However, the severe shortage of psychiatric workforce [
8,
9] makes it unfeasible to provide mental health care to meet the growing mental/mental health needs of patients [
10,
11]. This issue is particularly pressing in middle- and low-income countries, where the mental healthcare workforce continues to be largely overlooked [
12], and the shortage of psychiatric labor is even pronounced, thereby hindering numerous patients’ access to psychiatric services [
8,
9,
13,
14]. Nurses, constituting the largest healthcare professional group, can play a huge role in mental health care [
8,
9]. Nonetheless, a critical shortage of psychiatric nurses currently persists [
11]. In developing countries, exemplified by China, the number of nurses employed in psychiatric hospitals stands at approximately 96,000
10, which is substantially lower than the number of psychiatric nurses in most countries in the world. Factors such as workplace violence (WPV), job dissatisfaction, and burnout exacerbate the turnover rates among these nurses [
15], thereby intensifying the shortage of psychiatric nurses and further restricting the accessibility of mental and psychological healthcare services.
Developing effective strategies to attract and retain psychiatric nurses to provide mental health services for patients with mental disorders remains a persistent challenge, which is further complicated by the lack of publicly available data on psychiatric nurses’ job preferences. The existing literature has identified job characteristics that are important to nurses, such as income [
16,
17], but has not adequately demonstrated how psychiatric nurses can make trade-offs between desirable and undesirable job characteristics to determine the best possible choice.
Discrete Choice Experiment (DCE) is based on the theory of random utility and can investigate individual preferences and quantify the relative importance of factors that influence decision making [
18,
19]. Random utility theory is a decision theory that holds that the utility obtained by a decision-maker for a certain decision is a random variable rather than a definite value. Numerous studies have used discrete choice experiments to understand the determinants of nurses’ job preferences, including financial and non-financial factors that influence job, workplace, or specialization choices [
17,
20]. However, these studies did not explore the determinants of psychiatric nurses’ job choices. Given the unique characteristics and nature of hospitalized psychiatric patients, psychiatric nurses will more factors affect the choice of psychiatric nurses [
21,
22]. Consequently, the findings from prior studies provide only limited reference for the development of effective strategies to attract and retain psychiatric nurses. We applied a DCE to understand which factors might most support the recruitment and retention of psychiatric nurses.
Materials and methods
Research questions, hypotheses and objectives
We propose the following research questions: (1) What are the characteristics of the preferred jobs for psychiatric nurses? and (2) Are there differences in job preferences among psychiatric nurses with different demographic characteristics?
In addition, the research hypotheses of the study is as following:
H1: Psychiatric nurses prefer jobs that offer higher income, greater respect, and more opportunities for promotion; H2: Psychiatric nurses with different years of work experience have different preferences; and H3: There are differences in the preferences of psychiatric nurses employed in different hospitals.
In order to answer research questions and verify research hypotheses, we conducted this discrete choice experiment to achieve the following research objectives:
(1) Clarify the key factors or attributes of psychiatric nurses’ job choices, and quantify the preference weights of psychiatric nurses towards these factors or attributes; (2) Investigate and analyze the preference differences among psychiatric nurses with different social demographic characteristics; and (3) Determine the extent to which key factors or attributes affect the acceptance of psychiatric nurses’ work.
Study design
This is a DCE, which follows the design principle of DCE to explore the preferences of psychiatric nurses for job. The main stages of developing DCE is as follows: identification of attributes and levels, experimental design, survey sample and data collect, data analysis and results explain.
Identification of attributes and levels
Adhering the guideline [
23], the job characteristics or attributes in the discrete choice experiment were developed that were important to psychiatric nurses in China, modifiable, and feasible for implementation by employers. Firstly, a comprehensive literature review was conducted. Subsequent to extracting key influencing factors determined based on this review, one-on-one semi-structured interviews were conducted with 16 psychiatric nurses face-to-face, providing important job characteristics for psychiatric nurses and the potential implementation level of these characteristics in current medical institutions. The interview was developed for this study (the interview outline is presented in Appendices
A), and mainly includes the following topics: (1) The particularity of psychiatric nursing work; (2) The influencing factors of psychiatric nursing work; (3) Nurses’ attitudes towards psychiatric nursing work and unmet needs; (4) The problems and areas that need improvement in current psychiatric work; and (5) views on ideal psychiatric nursing work. Three focus group discussions were conducted, each consisting of three psychiatric nurses, three hospital managers, and one economist. Based on the results of focus group discussions, attribute ‘violence coping strategies’ was added and attribute levels were prioritized. Ultimately, six attributes were included in the study, each with two to four levels (see Table
1).
Table 1
Attributes and levels
Income(CNY) | 1000 | 1000/moth more than your current income |
2000 | 2000/moth more than your current income |
3000 | 3000/moth more than your current income |
Atmosphere | Fragmented | Co-workers don’t care about each other and can be hostile. |
| General harmonious | Co-workers are not hostile, but interaction is limited. |
| Cohesive | Co-workers care for each other, help each other, and the team is cohesive. |
Study Assistance for children | Without | The government will not provide any assistance for study of your children. |
Limited | The government will help your child attend a local school of average quality. |
Thorough | The government will help your child attend a good local school. |
Respect | Low | The level of respect from the community is low. |
Average | The level of respect from the community is average. |
High | The level of respect from the community is high. |
Violent coping strategies | Without | There are no violence response strategy in department. |
Inadequate | There are a violence response strategy in department, but it is inadequate. |
Impeccable | There are a impeccable violence response strategy in department. |
Opportunity to upgrade | Insufficient | There is little chance of advancement to leadership. |
Some | There is some chance of advancement to leadership. |
Sufficient | There is sufficient chance of advancement to leadership. |
Experimental design
Hypothetical choice sets were generated using Ngene software [
24]. Based on the literature and expert interviews, the orientation of psychiatric nurses’ preferences for some attribute levels was assumed and incorporated into the model as a prior value using a Bayesian approach [
25]. We hypothesized that psychiatric nurses would prefer jobs with higher income, more respect, impeccable violence coping strategies, sufficient opportunities for promotion, and a good working atmosphere. Using the D-efficiency design, 36 paired choice sets were generated and randomly divided into 3 blocks to reduce the cognitive burden of respondents, with each block containing 12 choice sets. The fourth choice set in each block was reintroduced as the thirteenth choice set to test the consistency of respondents’ selections, and the repeated choice set was excluded from the data analysis. The example of choice set is presented in Appendices
B.
For each choice set, in addition to the two alternative scenarios, an exit item is incorporated, that is, neither scenario is selected, to avoid overestimating the participation rate. The final survey also included respondents’ characteristics to support how preferences might differ based on them such as gender, age, working seniority, experience of workplace violence, and education level. In reference to previous studies [
26,
27], the survey instrument (versions 1–3) was piloted in an iterative manner, and 20 psychiatric nurses were invited to participate in a repeated testing of the questionnaire’s language and structure for enhanced clarity. Direction of the prior assumptions for the attributes have been confirmed in feedback.
Survey sample and data collect
The subjects of this study were psychiatric nurses, excluding psychiatric nurses who did not directly participate in patient care and were unwilling to participate in the study. Convenience sampling method is adopted nationwide, and the electronic version of the questionnaire is embedded in the network link. Psychiatric nurses who meet the inclusion and exclusion criteria can obtain the link, access the link, and fill out the questionnaire through We-Chat or other network platforms. All surveys are anonymous. The sample size was based on thumb-rule [
28], and the formula is as follows:
N > 500c/(t×a). Where
a represents the number of alternatives in each choice set (the ‘opt-out item’ is not included),
t represents the number of choice sets in each questionnaire (excluding the repeatedly included choice sets), 500 is a fixed variable, and
c represents the maximum number of levels of any attribute. In the context of our study, the values were set at a = 2, t = 12, and c = 3. Based on this formula, the calculated sample size for each vision amounted to 63 participants. In our study, there are three vision questionnaire, so the sample size is 189.
The data was collected from May 2024 to October 2024. During the data collection process, it was ensured that an equivalent number of questionnaires were distributed for each version, with recipients randomly assigned a questionnaire version. Questionnaires that failed the conformance test, were incompletely filled out, or were submitted within a timeframe of 150 s were excluded from the data analysis because the pilot test showed a minimum completion time of 165 s.
Data analysis
All analyses were performed using Stata 17.0. The social demographic characteristics of psychiatric nurses were analyzed by descriptive statistics. A mixed logit model was used to estimate the preferences of psychiatric nurses, which allowed for preference heterogeneity across the sample. Attribute income was designated as a continuous variable, while all remaining variables were encoded as dummy variables to facilitate easier to calculation and interpretation of the willingness to pay. It was assumed that all coefficients in the model, excluding income, adhered to a normal distribution. Using the preferences estimated in the main effects mixed logit model, the willingness to pay was estimated as the ratio of the value of a particular attribute level to the negative value of the income attribute. The nlcom command was utilized to simulate the change in the probability of psychiatric nurses accepting the job when the attribute-level changed. Furthermore, subgroup analyses were conducted, stratified by residence location and working seniority, to delve into differences in preferences among psychiatric nurses with different characteristics.
Discussion
Although this is an important management decision in healthcare human resources, little is known about the preferences of psychiatric nurses in terms of economic and other non-economic attributes when developing strategies to attract or retain them. For policy makers or decision makers, our study provides compelling evidence regarding the relative importance of factors that may influence career-related decisions for psychiatric nurses, identifies highly valued job characteristics that can be modified at the hospital or health system level, and complements the international literature.
Financial incentive, particularly income enhancement, is an important driving force for psychiatric nurses to choose jobs, and many previous studies have confirmed our findings [
17,
29,
30]. Nonetheless, other non-economic attributes seem more important. Attribute level ‘Violent coping strategies-Impeccable’ emerged as the foremost among psychiatric nurses’ preferences for job, and psychiatric nurses had the highest willingness to pay for it. This finding is not consistent with the results of previous studies [
17,
31], in which nurses most preferred cohesive team with frequent interaction. The reasons for this difference may be multifactorial. Firstly, our study specifically targeted psychiatric nurses, whereas the aforementioned studies did not exclusively focus on this subgroup. Secondly, they were conducted in the United States, a developed country, while our study was conducted in China, a developing country, where economic development levels and cultural contexts differ significantly. A study conducted in China that confirmed registered nurses’ preferences for safety and security in ‘Internet plus’ nursing services through a discrete choice experiment [
32], which is consistent with our research results. Our findings reflect the emphasis psychiatric nurses place on safety, which is in line with global trends. Psychiatric nurses frequently encounter unstable patients with mental or affective disorder [
33‐
35], so the situations they face in clinical practice are more complex and unpredictable [
36]. There is research confirming that the incidence of workplace violence against psychiatric nurses is relatively high [
35,
37], with 84.2% experiencing verbal and/or physical workplace violence within a year [
33]. Consistent with this, 83.88% of the psychiatric nurses in our study had experienced workplace violence. The complexity of the work environment and the experience of workplace violence have heightened their emphasis on safety. Therefore, they prefer impeccable-violent coping strategies and demonstrate a heightened willingness to pay to obtain this attribute level.
High level of respect was the second most important attribute for psychiatric nurses. The public image of nursing is the subject of longstanding challenges [
38,
39]. Although in the past few decades, the strong educational foundation of the global nursing profession has enabled nursing to make significant progress towards professionalization based on scientific theory [
40]. However, discrimination and injustice persist between nursing and medical professions [
41], and nurses are still seen as dependent on doctors [
42,
43]. This outdated public stereotype contributes to the low social recognition for nurses. Furthermore, the professional identity of Chinese psychiatric nurses is relatively low [
44]. Chinese managers often adopt a restrictive approach to the prioritization of psychiatric care [
45], which may limit the voice of psychiatric nurses in clinical practice. All of this elucidate why psychiatric nurses value high levels of respect. Media portrayal is a major source of public understanding of the role of nurses and has a significant impact on public perceptions of nursing [
46,
47]. Therefore, enhancing the media portrayal of nurses’ images to foster a correct understanding of their roles among the public and elevate the professional identity of psychiatric nurses may be a way to improve the respect of nurses, and then attract and retain psychiatric nurses with potential.
The job characteristics that were important to psychiatric nurses in our study reflected the expectations psychiatric nurses had for organizational culture. Some of our attributes are similar to previous discrete choice experiments involving nurse job choices, such as income [
17,
29], but our study also introduced novel and timely attributes. For instance, the violence coping strategy reflects the desire for safety of psychiatric nurses under the high incidence of workplace violence. Similarly, the interactive and cohesive work atmosphere echoes the increasing emphasis on teamwork and collaborative care as drivers of patient care [
48]. As young nurses join the workforce, the setting of attribute ‘study assistance for children’ responds to the changing expectations of staff regarding work-life balance [
49].
We found that psychiatric nurses living in cities preferred higher levels of respect, whereas those living in towns prioritize thorough study assistance for their children. We speculate that this disparity stems from variations in economic development. In China, there is a large gap between city and town in terms both governmental financial income and residents’ income [
50], and lower financial income makes less investment in education, so the accessibility of quality educational resources in towns or rural areas is not as good as that in urban areas [
51]. Therefore, psychiatric nurses living in towns value the thorough study assistance for children most. Higher income makes psychiatric nurses living cities have higher esteem needs, which is in line with Maslow’s hierarchy of needs. Meanwhile, there are differences in job preferences among nurses with different years of work seniority. Job choice is a complex issue, and in addition to job characteristics, personal, family, social, economic, and other related variables are also significant influencing factors that cannot be ignored [
52]. Therefore, the regional and seniority differences of nurses should be fully considered when formulating talent attraction and retention strategies.
The simulation results showed that changes in single job characteristics and/or combinations of multiple job characteristics affected psychiatric nurses’ job choice to different degrees. Although the optimal job characteristics have the greatest impact on the job choices of psychiatric nurses, it is crucial to acknowledge that China, as a developing nation, may face practical constraints in promptly and comprehensively enhancing all job attributes. Fortunately, establishing impeccable violence response strategies and increasing monthly income by 3000 yuan can significantly increase the probability of psychiatric nurses choosing to work. Therefore, regions with high economic development can attract and retain psychiatric nurses by increasing monthly income and improving violence response strategies. For regions with lower levels of economic development, establishing and improving violence response strategies may be a more cost-effective approach.
Some limitations in our study should be recognized. Firstly, in our study, most of the participants had suffered from workplace violence, which to some extent led to the bias of the results. It is worth noting that the proportion of nurses who had suffered from workplace violence in our study was similar to that in a previous study [
33]. Secondly, the unlabeled design used in this study may have introduced bias, and it should be acknowledged that the unlabeled approach helped to identify the work preferences of psychiatric nurses more accurately. Finally, although subgroup analysis showed that participants with different demographic characteristics had different preferences, the overall preferences of participants were universal. One important reason may be that our scenario only considers a limited number of attributes, which to some extent limits our discussion of the results. Further studies that include more diverse psychiatric nurses from different regions with more attribute exploration may be an important direction for future research.
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