Fitzhugh Mullan

Seasons of survival: reflections of a physician with cancer.

When I was given a diagnosis of cancer, my first thought was not, Will I die? but rather, How can I beat this? Like a youngster who flunks a big test, I immediately began to worry about what to do ...

Non-physician clinicians in 47 sub-Saharan African countries

Many countries have health-care providers who are not trained as physicians but who take on many of the diagnostic and clinical functions of medical doctors. We identified non-physician clinicians (NPCs) in 25 of 47 countries in sub-Saharan Africa, although their roles varied widely between countries. In nine countries, numbers of NPCs equalled or exceeded numbers of physicians. In general NPCs were trained with less cost than were physicians, and for only 3-4 years after secondary school. All NPCs did basic diagnosis and medical treatment, but some were trained in specialty activities such as caesarean section, ophthalmology, and anaesthesia. Many NPCs were recruited from rural and poor areas, and worked in these same regions. Low training costs, reduced training duration, and success in rural placements suggest that NPCs could have substantial roles in the scale-up of health workforces in sub-Saharan African countries, including for the planned expansion of HIV/AIDS prevention and treatment programmes.

Medical schools in sub-Saharan Africa.

Small numbers of graduates from few medical schools, and emigration of graduates to other countries, contribute to low physician presence in sub-Saharan Africa. The Sub-Saharan African Medical School Study examined the challenges, innovations, and emerging trends in medical education in the region. We identified 168 medical schools; of the 146 surveyed, 105 (72%) responded. Findings from the study showed that countries are prioritising medical education scale-up as part of health-system strengthening, and we identified many innovations in premedical preparation, team-based education, and creative use of scarce research support. The study also drew attention to ubiquitous faculty shortages in basic and clinical sciences, weak physical infrastructure, and little use of external accreditation. Patterns recorded include the growth of private medical schools, community-based education, and international partnerships, and the benefit of research for faculty development. Ten recommendations provide guidance for efforts to strengthen medical education in sub-Saharan Africa.

The Social Mission of Medical Education: Ranking the Schools

BACKGROUND The basic purpose of medical schools is to educate physicians to care for the national population. Fulfilling this goal requires an adequate number of primary care physicians, adequate distribution of physicians to underserved areas, and a sufficient number of minority physicians in the workforce. OBJECTIVE To develop a metric called the social mission score to evaluate medical school output in these 3 dimensions. DESIGN Secondary analysis of data from the American Medical Association (AMA) Physician Masterfile and of data on race and ethnicity in medical schools from the Association of American Medical Colleges and the Association of American Colleges of Osteopathic Medicine. SETTING U.S. medical schools. PARTICIPANTS 60 043 physicians in active practice who graduated from medical school between 1999 and 2001. MEASUREMENTS The percentage of graduates who practice primary care, work in health professional shortage areas, and are underrepresented minorities, combined into a composite social mission score. RESULTS The contribution of medical schools to the social mission of medical education varied substantially. Three historically black colleges had the highest social mission rankings. Public and community-based medical schools had higher social mission scores than private and non-community-based schools. National Institutes of Health funding was inversely associated with social mission scores. Medical schools in the northeastern United States and in more urban areas were less likely to produce primary care physicians and physicians who practice in underserved areas. LIMITATIONS The AMA Physician Masterfile has limitations, including specialty self-designation by physicians, inconsistencies in reporting work addresses, and delays in information updates. The public good provided by medical schools may include contributions not reflected in the social mission score. The study was not designed to evaluate quality of care provided by medical school graduates. CONCLUSION Medical schools vary substantially in their contribution to the social mission of medical education. School rankings based on the social mission score differ from those that use research funding and subjective assessments of school reputation. These findings suggest that initiatives at the medical school level could increase the proportion of physicians who practice primary care, work in underserved areas, and are underrepresented minorities.

State Practice Environments and the Supply of Physician Assistants, Nurse Practitioners, and Certified Nurse-Midwives

BACKGROUND Most proposals to increase access to primary care in the United States emphasize increasing the proportion of generalist physicians. Another approach is to increase the number of physician assistants, nurse practitioners, and certified nurse-midwives. METHODS We analyzed variations in the regulation of nurse practitioners, physician assistants, and certified nurse-midwives in all 50 states and the District of Columbia. Using a 100-point scoring system, we assigned numerical values to specific characteristics of the practice environment in each state for each group of practitioners, awarding a maximum of 20 points for legal status, 40 points for reimbursement for services, and 40 points for the authority to write prescriptions. We calculated coefficients for the correlation of summary measures of these values within states with estimates of the supply of practitioners per 100,000 population. RESULTS There was wide variation among states in both practice-environment scores and practitioner-to-population ratios for all three groups of practitioners. We found positive correlations within states between the supply of physician assistants, nurse practitioners, and certified nurse-midwives and the practice-environment score for the state (Spearman rank-correlation coefficients, 0.63 [P < 0.001], 0.41 [P = 0.003], and 0.51 [P < 0.001], respectively). Positive associations were also found in the states between the supply of generalist physicians and the supply of physician assistants (r = 0.54, P < 0.001) and nurse practitioners (r = 0.35, P = 0.014). Nevertheless, in the 17 states with the greatest shortages of primary care physicians, favorable practice-environment scores were still associated with higher practitioner-to-population ratios for physician assistants (r = 0.68, P = 0.003), nurse practitioners (r = 0.54, P = 0.026), and certified nurse-midwives (r = 0.42, P = 0.09). CONCLUSIONS State regulation of physician assistants, nurse practitioners, and certified nurse-midwives varies widely. Favorable practice environments are strongly associated with a larger supply of these practitioners.

Spending Patterns in Region of Residency Training and Subsequent Expenditures for Care Provided by Practicing Physicians for Medicare Beneficiaries

IMPORTANCE Graduate medical education training may imprint young physicians with skills and experiences, but few studies have evaluated imprinting on physician spending patterns. OBJECTIVE To examine the relationship between spending patterns in the region of a physicians graduate medical education training and subsequent mean Medicare spending per beneficiary. DESIGN, SETTING, AND PARTICIPANTS Secondary multilevel multivariable analysis of 2011 Medicare claims data (Part A hospital and Part B physician) for a random, nationally representative sample of family medicine and internal medicine physicians completing residency between 1992 and 2010 with Medicare patient panels of 40 or more patients (2851 physicians providing care to 491,948 Medicare beneficiaries). EXPOSURES Locations of practice and residency training were matched with Dartmouth Atlas Hospital Referral Region (HRR) files. Training and practice HRRs were categorized into low-, average-, and high-spending groups, with approximately equal distribution of beneficiary numbers. There were 674 physicians in low-spending training and low-spending practice HRRs, 180 in average-spending training/low-spending practice, 178 in high-spending training/low-spending practice, 253 in low-spending training/average-spending practice, 417 in average-spending training/average-spending practice, 210 in high-spending training/average-spending practice, 97 in low-spending training/high-spending practice, 275 in average-spending training/high-spending practice, and 567 in high-spending training/high-spending practice. MAIN OUTCOMES AND MEASURES Mean physician spending per Medicare beneficiary. RESULTS For physicians practicing in high-spending regions, those trained in high-spending regions had a mean spending per beneficiary per year

Medical education in sub-Saharan Africa: a literature review.

1926 higher (95% CI,

Teaching Health Centers: A New Paradigm in Graduate Medical Education

889-

Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions

2963) than those trained in low-spending regions. For practice in average-spending HRRs, mean spending was

The case for more U.S. medical students.

897 higher (95% CI,