Junior doctors' medical specialty and practice location choice: simulating policies to overcome regional inequalities

How the training pathways and capacity of rural physicians inform their scope of practice: A qualitative study examining the experiences of Australian and international medical graduates in South-East New South Wales, Australia

INTRODUCTION

Current strategies to address shortages of rural doctors focus on developing a pipeline for rural generalist practice. Limited research has explored how doctors' professional journey engenders the skills required to practice rurally.

OBJECTIVE

This paper analyses how rural general practitioners' clinical pathway informs their scope of practice and future retention.

DESIGN

Qualitative thematic analysis using semi-structured telephone interviews. Twenty-one general practitioners appointed in their local health district of Murrumbidgee and Southern New South Wales, Australia, within the past 10 years. Participants comprised 10 Australian medical graduates (AMG) and 11 international medical graduates (IMG).

FINDINGS

AMGs and IMGs contrasted how their pathway into rural practice, and capacity to work rurally, informed their scope of practice. Australian medical graduates' familiarity with rural areas was consolidated through congruous experiences, including at rural clinical schools. Paradoxically, the fluency of their training limited the amount of unsupervised experience and confidence AMGs gained. Together with a focus on work-life balance, this limited many to providing mainstream general practice, precluding extending their scope of practice. International medical graduates described disseminated experiences, often unsupervised in high-volume contexts. However, a lack of professional opportunities prevented them from extending their scope of practice.

DISCUSSION

IMG and AMG motivation and pathway for working rurally differ. Respective cohorts have concerns regarding requisite skills and knowledge for rural practice, which incorporates opportunity and recognition. Entry points for training should be variable to allow consideration of life stage, prior skill development and extension of scope of practice.

CONCLUSION

Doctors' scope of practice is informed by their pathways into rural practice. Australian medical graduates may not gain adequate competence during expedited training programs to confidently undertake extended clinical activities. International medical graduates, however lacked the opportunities and support, to utilise their expertise in rural practice. Complementarily utilising the expertise and commitment of both AMGs and IMGs may synergistically address workforce shortages.

Heterogeneity in physician's job preferences in a dual practice context - Evidence from a DCE

Many countries are facing challenges in recruiting and retaining physicians, particularly in regions where the public and private sectors compete for doctors. Understanding the factors influencing physicians' job choices can help inform policies aimed at attracting and retaining this valuable workforce. This study aims to elicit the strength of physicians' preferences regarding various job-related aspects, including earnings, time flexibility, discussion of clinical cases, frequency of facilities and equipment updates, training opportunities and autonomy in decision making. To achieve this, a Discrete Choice Experiment (DCE) was administered to 697 physicians. Each participant completed a series of eight choice tasks, where they had to choose between two hypothetical jobs differing in these attributes with levels mirroring positions in the public and private sectors in Portugal. The resulting choices were analysed using mixed logit, generalized multinomial logit and latent classes models to account for diverse unobserved variations in physicians' preferences and to explore preference heterogeneity across different observable characteristics. Jobs that offered more autonomy and training opportunities were strongly preferred, as physicians would require additional compensation to work with reduced autonomy (equivalent to 28.62% of gross income) or less frequent training (equivalent to 22.75%). This study also shows that the ranking of the job characteristics is similar between physicians working exclusively in the public sector and those engaged in dual practice. Nevertheless, public sector physicians place more emphasis on the availability of frequent training possibilities and frequent updates of facilities and equipment compared to their counterparts in dual practice. These findings contribute to existing knowledge by highlighting the significance of non-monetary attributes and shedding light on the preferences of physicians across various employment scenarios. They offer valuable insights for policy development aimed at influencing physicians' allocation of time between sectors.

The impacts of altruism levels on the job preferences of medical students: a cross-sectional study in China

BACKGROUND

Rational allocation of human resources for health is crucial for ensuring public welfare and equitable access to health services. Understanding medical students' job preferences could help develop effective strategies for the recruitment and retention of the health workforce. Most studies explore the relationship between extrinsic incentives and job choices through discrete choice experiments (DCEs). Little attention has been paid to the influence of intrinsic altruism on job choice. This study aimed to explore the heterogeneous preferences of medical students with different levels of altruism regarding extrinsic job attributes.

METHODS

We conducted an online survey with 925 medical students from six hospitals in Beijing from July to September 2021. The survey combined job-choice scenarios through DCEs and a simulation of a laboratory experiment on medical decision-making behavior. Behavioral data were used to quantify altruism levels by estimating altruistic parameters based on a utility function. We fit mixed logit models to estimate the effects of altruism on job preference.

RESULTS

All attribute levels had the expected effect on job preferences, among which monthly income (importance weight was 30.46%, 95% CI 29.25%-31.67%) and work location (importance weight was 22.39%, 95% CI 21.14%-23.64%) were the most salient factors. The mean altruistic parameter was 0.84 (s.d. 0.19), indicating that medical students' altruism was generally high. The subgroup analysis showed that individuals with higher altruism levels had a greater preference for non-financial incentives such as an excellent work environment, sufficient training and career development opportunities, and a light workload. The change in the rate of the uptake of a rural position by individuals with lower levels of altruism is sensitive to changes in financial incentives.

CONCLUSIONS

Medical students' altruism was generally high, and those with higher altruism paid more attention to non-financial incentives. This suggests that policymakers and hospital managers should further focus on nonfinancial incentives to better motivate altruistic physicians, in addition to appropriate economic incentive when designing recruitment and retention interventions. Medical school administrations could attach importance to the promotion of altruistic values in medical education.

What do Iranian physicians value most when choosing a specialty? Evidence from a discrete choice experiment

BACKGROUND

Choosing a specialty by physicians is fundamentally linked to the performance of health systems and public health outcomes. Identifying the determinants of specialty selection is important to health policy for targeting resources and planning the development of services. This study examined preferences of Iranian physicians for medical specialty using a discrete choice experiment (DCE) method.

METHODS

In this study, the attributes of the DCE were determined using rigorous qualitative approach. Then we applied D-efficiency criteria to design the DCE and validated it at a pilot study. In the final survey, we recruited participants from six Iranian provinces and analyzed data using conditional logit model. We estimated willingness to pay (WTP) for non-monetary attributes.

RESULTS

The WTP analysis revealed that the most important non-monetary attributes in the selection of a specialty were job burnout, opportunity for procedural activities, and job prestige. The results imply that the attributes that were related to the quality of personal life was more important only for physicians who preferred to choose non-surgical specialties.

CONCLUSIONS

The findings demonstrate that traditional gender patterns of specialty selection are changing and quality of personal life characteristics might be the most important factor when developing policies to recruit physicians into non-surgical specialties.

How French general practitioners respond to declining medical density: a study on prescription practices, with an insight into opioids use

Disparities in physicians' geographical distribution lead to highly unequal access to healthcare, which may impact quality of care in both high and low-income countries. This paper uses a 2013-2014 nationally representative survey of French general practitioners (GPs) matched with corresponding administrative data to analyze the effects of practicing in an area with weaker medical density. To avoid the endogeneity issue on physicians' choice of the location, we enriched our variable of interest, practicing in a relatively underserved area, with considering changes in medical density between 2007 and 2013, thus isolating GPs who only recently experienced a density decline (identifying assumption). We find that GPs practicing in underserved areas do shorter consultations and tend to substitute time-consuming procedures with alternatives requiring fewer human resources, especially for pain management. Results are robust to considering only GPs newly exposed to low medical density. Findings suggest a significant impact of supply-side shortages on the mix of healthcare services used to treat patients, and point to a plausible increased use of painkillers, opioids in particular.

Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data

In health, stated preference data from discrete choice experiments (DCEs) are commonly used to estimate discrete choice models that are then used for forecasting behavioral change, often with the goal of informing policy decisions. Data from DCEs are potentially subject to hypothetical bias. In turn, forecasts may be biased, yielding substandard evidence for policymakers. Bias can enter both through the elasticities as well as through the model constants. Simple correction approaches exist (using revealed preference data) but are seemingly not widely used in health economics. We use DCE data from an experiment on smokers in the US. Real-world data are used to calibrate the scale of utility (in two ways) and the alternative-specific constants (ASCs); several innovations for calibration are proposed. We find that embedding revealed preference data in the model makes a substantial difference to the forecasts; and that how models are calibrated also makes a substantial difference.