Estimation of a physician practice cost function

Group practice impacts on patients, physicians and healthcare systems: a scoping review

OBJECTIVE

To identify the advantages and disadvantages that group practices have on patients, physicians and healthcare systems.

STUDY DESIGN

A scoping review was performed based on the methodology proposed by Arksey and O'Malley, and refined by Levac et al. Titles and abstracts were screened by two reviewers. A quantitative analysis was performed to assess the type, year and region of publication, as well as the population studied. A qualitative descriptive analysis was performed to identify common themes.

STUDY SETTING

MEDLINE, EMBASE and Cochrane databases were searched from database inception to October 2018 for papers which assessed outcomes relevant to the research question.

RESULTS

Our search strategy returned 2408 papers and 98 were included in the final analysis. Most papers were from the USA, were surveys and assessed physician outcomes. Advantages of group practices for patients included improved satisfaction and quality of care. Studies of physicians reported improved quality of life and income, while disadvantages included increased stress due to poor interpersonal relationships. Studies of healthcare systems reported improved efficiency and better utilisation of resources.

CONCLUSIONS

Group practices have many benefits for patients and physicians. However, further work needs to be done assessing patient outcomes and establishing the elements that make a group practice successful.

A labor requirements function for sizing the health workforce

BACKGROUND

Ensuring healthcare delivery is dependent both on the prediction of the future demand for healthcare services and on the estimation and planning for the Health Human Resources needed to properly deliver these services. Although the Health Human Resources planning is a fascinating and widely researched topic, and despite the number of methodologies that have been used, no consensus on the best way of planning the future workforce requirements has been reported in the literature. This paper aims to contribute to the extension and diversity of the range of available methods to forecast the demand for Health Human Resources and assist in tackling the challenge of translating healthcare services to workforce requirements.

METHODS

A method to empirically quantify the relation between healthcare services and Health Human Resources requirements is proposed. For each one of the three groups of specialties identified-Surgical specialties, Medical specialties and Diagnostic specialties (e.g., pathologists)-a Labor Requirements Function relating the number of physicians with a set of specialty-specific workload and capital variables is developed. This approach, which assumes that health managers and decision-makers control the labor levels more easily than they control the amount of healthcare services demanded, is then applied to a panel dataset comprising information on 142 public hospitals, during a 12-year period.

RESULTS

This method provides interesting insights on healthcare services delivery: the number of physicians required to meet expected variations in the demand for healthcare, the effect of the technological progress on healthcare services delivery, the time spent on each type of care, the impact of Human Resources concentration on productivity, and the possible resource allocations given the opportunity cost of the physicians' labor.

CONCLUSIONS

The empirical method proposed is simple and flexible and produces statistically strong models to estimate Health Human Resources requirements. Moreover, it can enable a more informed allocation of the available resources and help to achieve a more efficient delivery of healthcare services.

Predicting medical practices using various risk attitude measures

This paper investigates the predictive power of several risk attitude measures on a series of medical practices. We elicit risk preferences on a sample of 1500 French general practitioners (GPs) using two different classes of tools: scales, which measure GPs' own perception of their willingness to take risks between 0 and 10; and lotteries, which require GPs to choose between a safe and a risky option in a series of hypothetical situations. In addition to a daily life risk scale that measures a general risk attitude, risk taking is measured in different domains for each tool: financial matters, GPs' own health, and patients' health. We take advantage of the rare opportunity to combine these multiple risk attitude measures with a series of self-reported or administratively recorded medical practices. We successively test the predictive power of our seven risk attitude measures on eleven medical practices affecting the GPs' own health or their patients' health. We find that domain-specific measures are far better predictors than the general risk attitude measure. Neither of the two classes of tools (scales or lotteries) seems to perform indisputably better than the other, except when we concentrate on the only non-declarative practice (prescription of biological tests), for which the classic money-lottery test works well. From a public health perspective, appropriate measures of willingness to take risks may be used to make a quick, but efficient, profiling of GPs and target them with personalized communications, or interventions, aimed at improving practices.