Association of county-level provider density with hepatobiliary cancer incidence and mortality

BACKGROUND

Access to healthcare providers is a key factor in reducing cancer incidence and mortality, underscoring the significance of provider density as a crucial metric of health quality. We sought to characterize the association of provider density on hepatobiliary cancer population-level incidence and mortality.

STUDY DESIGN

County-level hepatobiliary cancer incidence and mortality data from 2016 to 2020 and provider data from 2016 to 2018 were obtained from the CDC and Area Health Resource File. Multivariable logistic regression was utilized to evaluate the relationship between provider density and hepatobiliary cancer incidence and mortality.

RESULTS

Among 1359 counties, 851 (62.6%) and 508 (37.4%) counties were categorized as urban and rural, respectively. The median number of providers in any given county was 104 (IQR: 44-306), while provider density was 120.1 (IQR: 86.7-172.2) per 100,000 population; median household income was $51,928 (IQR: $45,050-$61,655). Low provider-density counties were more likely to have a greater proportion of residents over 65 years of age (52.7% vs. 49.6%) who were uninsured (17.4% vs. 13.2%) versus higher provider-density counties (p < 0.05). Moreover, all-stage incidence, late-stage incidence, and mortality rates were higher in counties with low provider density. On multivariable analysis, moderate, and high provider density were associated with lower odds of all-stage incidence, late-stage incidence, and mortality.

CONCLUSION

Higher county-level provider density was associated with lower hepatobiliary cancer-related incidence and mortality. Efforts to increase access to healthcare providers may improve healthcare equity as well as long-term cancer outcomes.

Association of county-level provider density and social vulnerability with colorectal cancer-related mortality

BACKGROUND

Health care providers play a crucial role in increasing overall awareness, screening, and treatment of cancer, leading to reduced cancer mortality. We sought to characterize the impact of provider density on colorectal cancer population-level mortality.

METHODS

County-level provider data, obtained from the Area Health Resource File between 2016 and 2018, were used to calculate provider density per county. These data were merged with county-level colorectal cancer mortality 2016-2020 data from the Centers for Disease Control and Prevention. Multivariable regression was performed to define the association between provider density and colorectal cancer mortality.

RESULTS

Among 2,863 counties included in the analytic cohort, 1,132 (39.5%) and 1,731 (60.5%) counties were categorized as urban and rural, respectively. The colorectal cancer-related crude mortality rate was higher in counties with low provider density versus counties with moderate or high provider density (low = 22.9, moderate = 21.6, high = 19.3 per 100,000 individuals; P < .001). On multivariable analysis, the odds of colorectal cancer mortality were lower in counties with moderate and high provider density versus counties with low provider density (moderate odds ratio 0.97, 95% confidence interval 0.94-0.99; high odds ratio 0.88, 95% confidence interval 0.86-0.91). High provider density remained associated with a lower likelihood of colorectal cancer mortality independent of social vulnerability index (low social vulnerability index and high provider density: odds ratio 0.85, 95% confidence interval 0.81-0.89; high social vulnerability index and high provider density: odds ratio 0.93, 95% confidence interval 0.89-0.98).

CONCLUSION

Regardless of social vulnerability index, high county-level provider density was associated with lower colorectal cancer-related mortality. Efforts to increase access to health care providers may improve health care equity, as well as long-term cancer outcomes.

Choosing Primary Care: Factors Influencing Graduating Osteopathic Medical Students

Context

Access to primary care (PC) improves health outcomes and decreases health care costs. The shortage of PC physicians and shifting physician workforce makes this an ongoing concern. Osteopathic medical schools are making strides to fill this void. Considering the critical need for PC physicians in the United States, this study aims to identify factors related to choosing a PC specialty.

Objective

To understand possible motivations of osteopathic medical students pursuing a career in PC specialties by examining the role of sex and the influence of 5 key factors in this decision.

Methods

Responses from the annual American Association of Colleges of Osteopathic Medicine graduate survey (2007-2016) were analyzed. Self-reported practice decision considerations of 5 key factors, including (1) intellectual and technical content, (2) debt level, (3) lifestyle, (4) prestige/income level, and (5) personal experience and abilities were summarized, and their subjective value was contrasted between osteopathic medicine graduates pursuing PC specialties vs those pursuing non-PC specialties.

Results

The mean percentage of graduates pursuing PC and non-PC specialties from 2007 to 2016 was 31.3% and 68.7%, respectively. Women were 1.75 times more likely to choose PC than men (95% CI, 1.62-1.89). Regardless of specialty choice, lifestyle was the most important factor each year (1027 for PC [75.3%] vs 320 for non-PC [63.3%] in 2016; P<.0001). Students entering PC were more likely to report prestige and income level to be "no or minor influence" compared with students entering non-PC specialties (P<.0001). Debt level was more likely to be a "major influence" to students choosing to enter non-PC specialties than to those entering PC (P<.0001), and the percentage of non-PC students has grown from 383 in 2007 (22.9%) to 833 in 2016 (30.6%).

Conclusion

Sex was found to significantly influence a graduate's choice of specialty, and female graduates were more likely to enter practice in PC. Each of the 5 survey factors analyzed was significantly different between students entering PC and students entering non-PC specialties. Lifestyle was deemed a major influencing factor, and responses suggested that debt level is a strong influencing factor among students pursuing non-PC specialties.

Effect of medical student debt on mental health, academic performance and specialty choice: a systematic review

OBJECTIVES

With the high and rising total cost of medical school, medical student debt is an increasing concern for medical students and graduates, with significant potential to impact the well-being of physicians and their patients. We hypothesised that medical student debt levels would be negatively correlated with mental health and academic performance, and would influence career direction (ie, medical specialty choice).

DESIGN

We performed a systematic literature review to identify articles that assessed associations between medical student mental health, academic performance, specialty choice and debt. The databases PubMed, Medline, Embase, Scopus and PsycINFO were searched on 12 April 2017, for combinations of the medical subject headings Medical Student and Debt as search terms. Updates were incorporated on 24 April 2019.

RESULTS

678 articles were identified, of which 52 met the inclusion criteria after being reviewed in full text. The majority of studies were conducted in the USA with some from Canada, New Zealand, Scotland and Australia. The most heavily researched aspect was the association between medical student debt and specialty choice, with the majority of studies finding that medical student debt was associated with pursuit of higher paying specialties. In addition, reported levels of financial stress were high among medical students, and correlated with debt. Finally, debt was also shown to be associated with poorer academic performance.

CONCLUSIONS

Medical student debt levels are negatively associated with mental well-being and academic outcomes, and high debt is likely to drive students towards choosing higher paying specialties. Additional prospective studies may be warranted, to better understand how educational debt loads are affecting the well-being, career preparation and career choices of physicians-in-training, which may in turn impact the quality of care provided to their current and future patients.