Human Resources for Health最新文献

Background: Considering the global shortage of nurses, leaders in the field must understand the strengths and weaknesses of various nursing specialties in order to retain professionals within the field. Occupational prestige reflects the perceived contribution of an occupation 'to society', and measures its desirability, benefit and values. Understanding how experienced nurses view the prestige of nursing specialties may help to explain why some specialties are more desirable than others. We conducted a cross-sectional study to examine the prestige of nursing specialties among nurses taking post-graduate in-training courses.

Methods: The study questionnaire examined nurses' perceived prestige of nine nursing specialties, the perceived extent of autonomy and authority, the unique knowledge and clinical skills required for each specialty, and participants' demographic and professional characteristics.

Results: A total of 101 nurses (90% females, mean age 35.4 ± 9.39 years) completed the questionnaire. Intensive care (4.67 ± 0.59) and neonatal intensive care (4.57 ± 0.74) were perceived as having the highest prestige, whereas physical activity consultation (2.67 ± 0.98) and sleep consultation (2.71 ± 0.92) were perceived as having the lowest prestige. These specialties were also perceived as requiring the most and least unique knowledge and clinical skills, respectively. In contrast, authority and autonomy were ranked highest in breastfeeding consultation (4.50 ± 0.81), followed by intensive care (4.10 ± 0.87), while congestive heart failure received the lowest score (3.48 ± 0.84). Principal component analysis showed that higher prestige is attributed to acute care specialties, while chronic care specialties or ones involving consultation have lower prestige.

Conclusions: Nursing specialties with lower scores should be rebranded to encourage nurses to enter these fields.

Background: While physicians are considered to be more susceptible to developing depressive symptoms, empirical data are lacking. The study aims to compare the risk of depressive symptoms between emergency physicians and the general population in China based on national data.

Methods: This was a national cross-sectional study. 10 457 emergency physicians and 101 120 participants from the general population were investigated from July 2018 to August 2018 and January 2019 to February 2019, respectively. PHQ-9 was used to measure depressive symptoms, and a score ≥ 10 indicates major depression. Propensity score matching was adopted to balance the characteristics between emergency physicians and the general population. Multinomial logistic regression model was used to examine the association between occupational groups and the severity of depressive symptoms. Binary logistic regression model was performed to explore the risk factors of major depression among emergency physicians.

Results: The prevalence of major depression among emergency physicians was 35.7%, whereas among the general population was 13.9%. Emergency physicians had a 3.65 times higher risk of major depression than the general population. And emergency physician was significantly associated with mild (OR: 3.12, 95% CI 2.95-3.30), moderate (OR: 4.94, 95% CI 4.60-5.30), moderately severe (OR: 9.48, 95% CI 8.61-10.44), and severe depressive symptoms (OR: 14.18, 95% CI 12.47-16.13) compared with none depressive symptoms. Even after matching, the results remained consistent. Factors associated with major depression among emergency physicians included bachelor degree or above (OR: 1.22, 95% CI 1.06-1.40), worked long years (OR: 1.26, 95% CI 1.08-1.46 for 1-5 years; OR: 1.56, 95% CI 1.32-1.84 for ≥ 6 years), experienced workplace violence (OR: 2.51, 95% CI 2.16-2.94), worked more night shifts per month (OR: 1.33, 95% CI 1.16-1.51 for 6-10 times; OR: 1.83, 95% CI 1.58-2.11 for ≥ 11 times), smoked (OR: 1.64, 95% CI 1.47-1.84), and effort-reward imbalance (OR: 4.18, 95% CI 3.62-4.85).

Conclusions: Emergency physicians had a higher risk of depressive symptoms than the general population. There is a need for greater awareness of the mental health issues faced by emergency physicians.

Background: Primary healthcare, the first line of care in many countries, treats patients with diverse health problems. High workload, time pressure, poor job control and negative interpersonal experiences with supervisors have been documented in primary healthcare. The work environment in primary healthcare is also affected by several types of changes.

Aim: We aimed to explore the levels of job satisfaction, turnover intention, social support, leadership climate and change fatigue according to physicians in Swedish primary healthcare. We also aimed to identify and characterize physicians exhibiting both high turnover intention and low job satisfaction, i.e., "discontent with current job".

Methods: A cross-sectional survey based on a random sample of physicians working in Swedish primary healthcare.

Results: Approximately one-quarter of the respondents were discontented with their current job. Discontent was negatively associated with poor general health and change fatigue among the respondents; social support from colleagues and a favorable leadership climate showed positive associations in terms of reducing the levels of discontent with current job.

Conclusions: The findings of this study highlight the association between low levels of job satisfaction and high levels of turnover intention (i.e., discontent with current job) among physicians in primary healthcare. Moreover, these variables exhibited a strong association with physicians' general health; poor health significantly increased the likelihood of discontent with current job. Our findings also show that experiencing change fatigue is associated with discontent with current job among physicians in primary healthcare. This knowledge can help identify and improve shortcomings within the psychosocial work environment in Swedish primary healthcare.

Background: In the European Union and peripheral countries, the availability of physicians working in primary health care services (PHCS) varies greatly and all countries report shortages and difficulties in recruiting more. The broad consensus that giving access to PHCS to all is a policy priority, reinforced by the lessons learned during the COVID-19 pandemic, implies that a sufficient fit-for-purpose workforce is available. This article focuses on physicians and reports on what countries have done, and with what success, to attract more medical students to a career in PHCS.

Methods: We conducted a scoping review of articles in PubMed and Cochrane Library, and of grey literature in websites of international agencies, think-tanks, international non-governmental organizations, and European Commission-funded projects, published between January 2018 and February 2024.

Results: The search retrieved 1,143 records, of which 45 were eligible for the scoping review; 25 focused on medical students. The documents report interventions in 12 countries, 14 by individual education institutions, mostly in the form of exposure of diverse duration to general/family practice in the medical curriculum (specific modules, residencies, rotations, placements, mentorship), and 11 policy interventions at national level, such as increases in the number of training places for primary health care (PHC) specialties and improvement of working conditions.

Conclusion: Accessible PHCS require the availability of a fit-for-purpose workforce of multiprofessional teams, in which specially trained physicians play a central role. To address shortages, many countries increased training opportunities, a necessary step, but not sufficient. More students must accept to opt for a PHC specialty, in a context of competition with other fields of practice also in need of more students, such as public health, geriatrics, or mental health. Success requires the collaboration of numerous actors, including professional councils and organizations, and regulation bodies that specialists tend to dominate. By making PHCS a political and policy priority, decision-makers can help make attraction more effective, but to do so, they need access to convincing evidence and information on good practices that only research can produce.

Background: Building on the job demands-resources (JD-R) model and regulatory focus theory, this study examined how regulatory foci shaped the effects of different job demands and resources on both negative and positive workplace outcomes among medical staff.

Methods: Two independent studies (N_{Study 1} = 267; N_{Study 2} = 350) were designed for cross-validation. Participants completed a battery of measures evaluating job demands (workload, emotional demands, interpersonal stress), job resources (psychological safety, perceived organizational support, servant leadership), and well-being (job burnout, affective commitment, job satisfaction).

Results: Multiple linear regression analyses showed employees' well-being was affected by job demands and resources through energetic and motivational processes, respectively. The deleterious effect of emotional demands on job burnout was pronounced in individuals with weak prevention focus (B = 0.392, standard error [SE] = 0.069, p < .001). Psychological safety (Study 1) and servant leadership (Study 2) had stronger positive associations with motivational outcomes among individuals with weak promotion focus than those with strong promotion focus (B = 0.394, SE = 0.069, p < .001; B = 0.679, SE = 0.121, p < .001; and B = 0.476, SE = 0.072, p < .001, respectively).

Conclusion: We used two samples to examine and cross-validate the joint effects of job characteristics and personal traits on workplace well-being among Chinese medical staff. Although heterogenous, the results showed regulatory foci were especially important in determining the effects of job demands and resources on well-being when there was (autonomous) self-regulation in the workplace.

Background: To make the best use of health resources, it is crucial to understand the healthcare needs of a population-including how needs will evolve and respond to changing epidemiological context and patient behaviour-and how this compares to the capabilities to deliver healthcare with the existing workforce. Existing approaches to planning either rely on using observed healthcare demand from a fixed historical period or using models to estimate healthcare needs within a narrow domain (e.g., a specific disease area or health programme). A new data-grounded modelling method is proposed by which healthcare needs and the capabilities of the healthcare workforce can be compared and analysed under a range of scenarios: in particular, when there is much greater propensity for healthcare seeking.

Methods: A model representation of the healthcare workforce, one that formalises how the time of the different cadres is drawn into the provision of units of healthcare, was integrated with an individual-based epidemiological model-the Thanzi La Onse model-that represents mechanistically the development of disease and ill-health and patients' healthcare seeking behaviour. The model was applied in Malawi using routinely available data and the estimates of the volume of health service delivered were tested against officially recorded data. Model estimates of the "time needed" and "time available" for each cadre were compared under different assumptions for whether vacant (or established) posts are filled and healthcare seeking behaviour.

Results: The model estimates of volume of each type of service delivered were in good agreement with the available data. The "time needed" for the healthcare workforce greatly exceeded the "time available" (overall by 1.82-fold), especially for pharmacists (6.37-fold) and clinicians (2.83-fold). This discrepancy would be largely mitigated if all vacant posts were filled, but the large discrepancy would remain for pharmacists (2.49-fold). However, if all of those becoming ill did seek care immediately, the "time needed" would increase dramatically and exceed "time supply" (2.11-fold for nurses and midwives, 5.60-fold for clinicians, 9.98-fold for pharmacists) even when there were no vacant positions.

Conclusions: The results suggest that services are being delivered in less time on average than they should be, or that healthcare workers are working more time than contracted, or a combination of the two. Moreover, the analysis shows that the healthcare system could become overwhelmed if patients were more likely to seek care. It is not yet known what the health consequences of such changes would be but this new model provides-for the first time-a means to examine such questions.

Background: Much policy attention focuses on increasing the supply of workers in the English NHS but there has been less attention paid to the rise in leavers. This paper seeks to explore how existing data sets can illuminate the decision-making of leavers and inform actions that could mitigate this.

Method: Secondary analysis of routinely collected data from 79 workforce projects in the UK (n = 46 339 participants) over a 4-year (2019-2023) period was undertaken. Free text data we extracted and analysed using content analysis, sentiment analysis and text mining. Inclusion criteria were those who stated they had resigned, had confirmed retirement date, and had secured employment elsewhere either within or without the sector but had not yet resigned. Exclusion criteria were those who had not indicated they were leaving or indicated intention to leave. These findings were then compared with themes from Herzberg's work hygiene theory and Hoffat and Woods's professional practice environment theory.

Results: Multiple reasons were given for leaving. Findings were congruent with Herzberg's two factor work hygiene theory and demonstrate that leavers are driven by the inability to meet their intrinsic motivation to practice according to their professional standards as much as by terms and conditions. Leavers describe suboptimal professional practice environments which produce obstacles to achieving their work objectives and leaving their intrinsic motivation frustrated.

Conclusion: Whilst reasons for leaving differ between people, there is a relationship between intrinsic motivation (why they want to do the job) and the conditions in which they try to do the job. This study suggests that looking beyond the primary reason for leaving given in the national dataset could identify how the practice environment influences the decision.

Background: Tajikistan has embarked on health reforms to orient the health system towards primary health care (PHC). The health labour market analysis (HLMA) was initiated by the Ministry of Health with the World Health Organization (WHO) on policy questions related to the PHC workforce team. This article presents the results with focus on family doctors as a critical part of the PHC team, providing lessons for strengthening family medicine and PHC in the European Region and central Asia.

Methods: The HLMA framework was used to guide the analysis. The data for analysis were provided by the Ministry of Health and Social Protection of the Population of the Republic of Tajikistan. Descriptive means were used to analyse the data. A Technical Working Group guided the process.

Results: There has been an increase in the number of health workers in the country over the last 7 years. However, there is a huge shortage of family doctors when compared with norms, with decreasing family doctor densities over the last 7 years. Family doctors have the highest vacancy rates among specialists and also constitute the highest proportion of specialists who migrate. There is inequitable distribution of doctors across the regions. Overall number of enrolments and graduates in family medicine are declining. Although salaries in PHC are higher than in hospitals, the overall health workforce salaries are lower than the national average. While there have been efforts to retain and attract doctors to PHC in rural and remote regions, challenges exist. The attraction of doctors to narrow specialties may be leading to undermining PHC and family medicine. While the optimal skill-mix and availability of nurses provide an opportunity to strengthen multi-disciplinary teams at the PHC level, shortages and unequal distribution of doctors are affecting health services coverage and health indicators.

Conclusions: Application of the HLMA framework has helped identify the bottlenecks in the health labour market flows and the possible explanations for them. The policy considerations emerging out of the HLMA have contributed to improving evidence-based planning for retention and recruitment of the PHC workforce, improvements in medical and nursing education, and higher investments in the PHC workforce and particularly in family doctors. Implementation of the Action Plan will require political commitment, financial resources, strong inter-sectoral collaboration, stakeholder management, and cross-country learning of best practices. Through this process, Tajikistan has shown the way forward in implementing the Central Roadmap for health and well-being in Central Asia and the Framework for Action on the Health and Care Workforce in the WHO European Region.

Background: This study examined the association between menopausal symptoms and job satisfaction, and ascertained whether three psychosomatic factors (e.g., anxiety, depression, and sleep quality) interact with menopausal symptoms on job satisfaction.

Methods: A cross-sectional design with sensitivity analysis was adopted. The participants of the study were clinical health workers in England. Data from 154 health workers were analyzed with the hierarchical linear regression (HLR) analysis.

Results: There was a negative association between menopausal symptoms and job satisfaction (β = -0.38; t = -4.81, p < 0.001), but this relationship became non-significant after adjusting for work stress, self-reported health, job tenure, and resilience at work. An interaction between menopausal symptoms and the psychosomatic factors was found. The strength of the negative association between menopausal symptoms and job satisfaction was weakened by sleep quality (β = 0.05; t = 0.48; p > 0.05) but was strengthened by anxiety (β = -0.22; t = -2.28; p < 0.05) and depression (β = -0.24; t = -2.16; p < 0.05).

Conclusion: Menopausal symptoms can be directly associated with lower job satisfaction and indirectly associated with lower job satisfaction through its interaction with depression and anxiety. Menopausal symptoms can weaken the positive association between sleep quality and job satisfaction.