BACKGROUND: Retention of general practice registrars in their training practices is important for addressing the GP workforce deficit and maldistribution of GPs. Given that rural and remote general practices are disproportionately affected by low retention, identifying the factors that promote retention may be as important as developing recruitment strategies in these areas. Quantifying the impact of relevant factors on registrar retention will enable a better understanding of how to incentivise retention and attenuate the loss of the rural workforce to other areas. We sought to establish the prevalence and associations of retention of general practice registrars in their training practices.
METHODS: This analysis was a component of the New alumni Experience of Training and independent Unsupervised Practice (NEXT-UP) study: a cross-sectional questionnaire-based study of early-career GPs in conjunction with evaluation of data contemporaneously recorded as part of vocational training. Participants were former registrars of three regional training organisations delivering general practice training in New South Wales, Tasmania, the Australian Capital Territory and Eastern Victoria, who had attained Fellowship of the Royal Australian College of General Practitioners or the Australian College of Rural and Remote Medicine between January 2016 and July 2018. The outcome measured was whether the registrar had previously worked at their current practice during vocational training. Multivariable logistic regression was used to estimate the association between relevant explanatory variables and the outcome.
RESULTS: A total of 354 alumni responded (response rate 28%), of whom 322 provided data regarding previous training practice retention, with 190 (59%) having previously worked at their current practice as registrars. Among respondents who reported currently working in a regional-rural practice location (n=100), 69% reported having previously worked at their current practice during training. GPs were more likely to be retained by a practice they had trained at if it was of lower socioeconomic status (adjusted odds ratio (aOR) 0.82 (95% confidence interval (CI) 0.73-0.91), p<0.001 for each decile of socioeconomic status) and if the practice provided two or more of home visits, nursing home visits or after-hours services (aOR 4.29 (95%CI 2.10-8.75), p<0.001). They were less likely to be retained by the practice if training was completed in a regional-rural area (aOR 0.35 (95%CI 0.17-0.72), p=0.004).
CONCLUSIONS: Regional-rural training location is associated with reduced odds of subsequent retention of general practice registrars. This is occurring despite significant government investment in expansion of general practice training in regional and rural areas. The practice factor most strongly associated with GP retention was the provision of out-of-practice and after-hours care. There may be altruistic, rather than monetary, reasons that explain this finding. Such training opportunities, if provided to all trainees, especially in regional and rural areas, would be a learning opportunity, a way of promoting holistic community-based care and an incentive for subsequent retention within the practice and community as an established GP.

BACKGROUND: Workplace violence is a global public health issue and a major occupational hazard cross borders and environments. Nurses are the primary victims of workplace violence due to their frontline roles and continuous interactions.
OBJECTIVE: The present study aimed to investigate the status of workplace violence, turnover intention, compassion fatigue, and psychological resilience among Chinese nurses, and explore the mediating role of compassion fatigue and the moderating role of psychological resilience on relationship between workplace violence and turnover intention among Chinese nurses.
METHODS: A cross-sectional study was conducted among a convenience sample of clinical registered nurses from public hospitals in Changsha, Hunan, China. Data was collected through an online questionnaire, which included a demographic information form, the Workplace Violence Scale (WVS), the Turnover Intention Questionnaire (TIQ), the Compassion Fatigue Scale (CF-CN), and the Connor-Davidson Resilience Scale (CD-RISC). Descriptive statistics and correlation analysis were employed to examine the relationships among the main variables. A moderated mediation analysis was further conducted using the PROCESS macro for SPSS (Model 4 and Model 8) to examine the mediating role of compassion fatigue and the moderating role of psychological resilience.
RESULTS: The present survey recruited a convenience sample of 1,141 clinical registered nurses, who reported experiencing multiple types of workplace violence during the past year. Correlation analysis revealed significant positive correlations between workplace violence and turnover intention (r = 0.466, P < 0.01) as well as compassion fatigue (r = 0.452, P < 0.01), while negative correlation between workplace violence and psychological resilience (r=-0.414, P < 0.01). Moderated mediation analysis revealed that compassion fatigue mediated, while psychological resilience moderated, the positive relationship between workplace violence and turnover intention (all P < 0.05).
CONCLUSIONS: This study underscores the mediating effect of compassion fatigue and the moderating role of psychological resilience in the relationship between workplace violence and turnover intention among Chinese nurses. Future efforts should be undertaken to develop effective preventive measures and intervention strategies at individual, organizational, and national levels to mitigate workplace violence and foster supportive work environment.
BACKGROUND: Not applicable.

BACKGROUND: Efficient utilisation of allied health workforce may help address the predicted shortfall of 18 million health workers estimated by 2030. Knowledge about allied health professionals\' attrition, or intention to leave, and factors influencing attrition can assist in developing evidence-informed strategies to mitigate this issue. The review aimed to map attrition and attrition intention rates, and its attributing factors for allied health professions worldwide.
METHODS: Adhering to the PRISMA-ScR guidelines, a comprehensive search was conducted across academic databases (PsycINFO, MEDLINE, Embase, Emcare, CINAHL, Scopus, and the Cochrane Library database) and grey literature (Google, Google Scholar, organisational websites). Two reviewers independently undertook a two-stage screening process along with data extraction using customised data extraction forms. A narrative synthesis was used to synthesise the data.
RESULTS: Thirty-two studies published between 1990 and 2024 were included. Attrition rates ranged from 0.5% to 41% across allied health disciplines. Pharmacists demonstrated the lowest attrition rates, while audiologists reported the highest. Radiographers reported the lowest intent to leave at 7.6%, while occupational therapists showed highest intent to leave, ranging from 10.7% to 74.1%. The analysis revealed three recurring themes contributing to attrition: profession-centric factors (e.g., career progression, job satisfaction, support, and professional growth), systemic-centric factors (e.g., compensation, staffing challenges, clinical practices, patient care, workload), and individual-centric factors (e.g., recognition, the need for change, and burnout).
CONCLUSIONS: Attrition in allied health remains a significant challenge. Addressing this issue requires a systemic, nuanced, and evidence-based approach, given the complex, interlinked, and multifaceted factors contributing to attrition. The younger workforce, characterized by changing generational values, necessitates innovative thinking, intersectoral collaboration, and the potential for co-created solutions with, for, and by the allied health workforce.

UNASSIGNED: This study aims to examine the current status of turnover intention among female nurses with two children and explore the factors influencing their decision to resign, ultimately providing a basis for reducing nurses\' turnover intention and stabilizing the nursing workforce.
UNASSIGNED: A convenience sampling method was used to select 1,370 in-service female nurses with two children from 65 Grade A tertiary public hospitals in Sichuan Province from September to December 2023. Data was collected through a general information questionnaire, work-family behavioral role conflict scale, regulatory emotional self-efficacy, and turnover intention scale.
UNASSIGNED: This study revealed that the average score for turnover intention among female nurses with two children was (13.11 ± 3.93). There was a positive correlation between work-family behavioral role conflict and turnover intention (r = 0.485, p < 0.01), while regulatory emotional self-efficacy showed a negative correlation with turnover intention (r = -0.382, p < 0.01). The main influencing factors for resignation among these nurses included age, number of night shifts per month, average monthly income, primary caregiver for children, work-to-family conflict and family-to-work conflict, and the ability to express positive emotions (POS), the capacity to regulate negative emotions such as despondency/distress (DES), and the skill to manage anger/irritation (ANG). Collectively, these factors explained 29.5% of the total variance in turnover intention scores.
UNASSIGNED: Turnover intention among female nurses with two children is relatively high. To address this issue, hospital managers shall implement effective measures through various channels to settle work-family conflict, enhance nurses\' regulatory emotional self-efficacy, and reduce turnover intention resulting from work-family conflict. Together, these efforts will reduce nurse turnover and foster a stable nursing workforce.

OBJECTIVE: This study analysed and summarized the correlation between various indicators of ICU nurses\' personal lives, hospital work situation, social opinion, psychological assessment, and their intention to resign.
METHODS: A descriptive quantitative study.
METHODS: This study was a multicentre questionnaire on factors influencing intensive care unit (ICU) nurses\' intention to resign. This study was completed through the Critical Care E Institute (CCEI) and China Calm Therapy Research Group Academic Organization (CNCSG) by contacting ICU nurses in three hospitals in 34 provinces in China. The questionnaire was in the form of a cell phone WeChat scan code. The survey included 22 indicators, including basic information about nurses (marital and child status, personal income, etc.), hospital work (weekly working hours, night shift, hospital environment, etc.), and psychological symptoms.
RESULTS: A total of 1904 nurses were included in this study. Among them, 1060 (55.67%) had the intention to resign. In this study, among the 22 indicators involved, 16 factors, including hospital work hours, job title, satisfaction with current income, having children, and evaluation of the hospital, significantly impact nurses\' intentions to resign (all p < 0.05). Logistic regression analysis showed that six indicators influenced nurses\' choice of resignation intention (all p < 0.05), including hospital work time, professional title, income satisfaction, hospital work pride, satisfaction of nurses with the compassion and care given to them by their hospitals, and career vision score. The ROC curve showed that all six indicators were <0.70, but the model receiver operating characteristic (ROC) curve constructed for the indicators was 0.756. In China, increasing the income of ICU nurses, fostering pride in hospital work, reducing working hours, ensuring smooth promotion processes, and enhancing career prospects can all decrease their likelihood of choosing to resign. Absorbing practical nursing management and work experience from other countries will help decrease the intention to resign within this group.
UNASSIGNED: No patient or public contribution.

UNASSIGNED: Multiple factors can fuel nurses\' intention to leave their employing hospital or their profession. Job dissatisfaction and burnout are contributors to this decision. Sociodemographic and work context factors can also play a role in explaining nurses\' intention to leave.
UNASSIGNED: To investigate the role of sociodemographic and work context factors, including job resources, job demands, job dissatisfaction, depersonalization, and emotional exhaustion, on nurses\' intention to leave their hospital or their profession.
UNASSIGNED: Multicentre cross-sectional study.
UNASSIGNED: Eight European hospitals, two per each country, including Belgium, the Netherlands, Italy, and Poland.
UNASSIGNED: From May 16 to September 30, 2022, we collected 1,350 complete responses from nurses working at the selected hospitals (13 % response rate).
UNASSIGNED: The intention to leave was assessed through two 5-Likert scale outcomes, agreeing with the intention to leave the profession and the intention to leave the hospital. Logistic regression models were used for statistical analysis.
UNASSIGNED: At the multivariable analysis, a higher intention to leave the hospital was observed for: younger age, having served on the frontline against COVID-19, lack of quipment, living in the Netherlands, emotional exhaustion, dissatisfaction with work prospects, and dissatisfaction with the use of professional abilities. There was a higher intention to leave the profession for: younger age, living in the Netherlands, having work-related health problems, depersonalization, emotional exhaustion, low possibilities of professional development, dissatisfaction with work prospects, lack of use of professional abilities, overall ob issatisfaction, and dissatisfaction with salary. Nurses living in Italy expressed the lowest intention to leave.
UNASSIGNED: While confirming the role of job dissatisfaction and burnout, we found higher intention to leave for young nurses, nurses with work-related health problems, and caregivers during the COVID-19 pandemic. Dissatisfaction with work prospects, professional development, and salary also increased the intention to leave. We call for educators, managers, and policymakers to address these factors to retain at-risk nursing categories, implementing strategies to mitigate intentions to leave.

暂无摘要。

Nurse retention remains a pivotal issue, necessitating urgent strategies aimed at the recruitment and retention of highly qualified nurses. However, there is limited knowledge regarding the influence of nurses\' personal and professional values, along with work environment, on predicting intent to leave an organization. Utilizing a secondary analysis approach, this study employed logistic regression to predict intent to leave among registered nurses (n = 671) using results from the Short Schwartz\'s Value Survey, the Nurses Professional Values Scale-3, and the Practice Environment Scale of the Nursing Work Index. Regression analysis indicates that the work environment including \"Participation in Hospital Affairs\" (B = -.665, odds ratio = .514), \"Nurse Manager Ability, Leadership, and Support\" (B = -.448, odds ratio = .639), and \"Staffing and Resource Adequacy\" (B = -.589, odds ratio = .555) are significant predictors of nurses\' intentions to leave. Establishing and maintaining supportive work environments is essential for retention, highlighting the importance of effective leadership.

The United States health care system is facing an unprecedented nursing shortage, increasing complexity of care, and fewer experienced nurse mentors. These factors contribute to a cycle of burnout, turnover, decreased quality and safety, and a worsening financial bottom line. Improving these contributing factors depends on our ability to mitigate the structural causes of burnout and turnover. The clinical nurse specialist role is essential to improving the work environment, advancing evidence-based nursing practice, reducing turnover, and stabilizing the bottom line.

BACKGROUND: There is limited evidence about the mental health and intention to leave of the public health workforce in Canada during the COVID-19 pandemic. The objectives of this study were to determine the prevalence of burnout, symptoms of anxiety and depression, and intention to leave among the Canadian public health workforce, and associations with individual and workplace factors.
METHODS: A cross-sectional study was conducted using data collected by a Canada-wide survey from November 2022 to January 2023, where participants reported sociodemographic and workplace factors. Mental health outcomes were measured using validated tools including the Oldenburg Burnout Inventory, the 7-item Generalized Anxiety Disorder scale, and the 2-item Patient Health Questionnaire to measure symptoms of depression. Participants were asked to report if they intended to leave their position in public health. Logistic regression was used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) for the associations between explanatory variables such as sociodemographic, workplace factors, and outcomes of mental health, and intention to leave public health.
RESULTS: Among the 671 participants, the prevalence of burnout, and symptoms of depression and anxiety in the two weeks prior were 64%, 26%, and 22% respectively. 33% of participants reported they were intending to leave their public health position in the coming year. Across all outcomes, sociodemographic factors were largely not associated with mental health and intention to leave. However, an exception to this was that those with 16-20 years of work experience had higher odds of burnout (aOR = 2.16; 95% CI = 1.12-4.18) compared to those with ≤ 5 years of work experience. Many workplace factors were associated with mental health outcomes and intention to leave public health. Those who felt bullied, threatened, or harassed because of work had increased odds of depressive symptoms (aOR = 1.85; 95% CI = 1.28-2.68), burnout (aOR = 1.61; 95% CI = 1.16-2.23), and intention to leave (aOR = 1.64; 95% CI = 1.13-2.37).
CONCLUSIONS: During the COVID-19 pandemic, some of the public health workforce experienced negative impacts on their mental health. 33% of the sample indicated an intention to leave their role, which has the potential to exacerbate pre-existing challenges in workforce retention. Study findings create an impetus for policy and practice changes to mitigate risks to mental health and attrition to create safe and healthy working environments for public health workers during public health crises.