Estimating the cost of training an ophthalmologist in Brazil / Estimativa do custo para formação de um oftalmologista no Brasil

ABSTRACT Introduction: It is estimated that 23% of the Brazilian population does not have access to an ophthalmologist, mainly because of the irregular geographical distribution of experts. It may be expensive to train ophthalmologists in Brazil. Objective: To estimate the cost of training an ophthalmologist and the labor market conditions so that the provider recovers the investment. Methods: Epidemiological study in databases from governmental sources and institutions related to the eye health system regulation. Results: The cost for training an ophthalmologist would be equal to R$ 592.272,00. After specialization, if the provider pledged all his/her income to recover the amount spent on training, it would take 5.2 years to reach the point of equilibrium. Conclusion: Young doctors from families unable to afford the cost of their education and support for at least 14 years after the beginning of the undergraduate course will hardly be able to specialize in Ophthalmology if they are unable to carry out their studies in public educational institutions. And those who can specialize are likely to choose to practice their profession in large urban centers, where most of the job opportunities are available, to at least recover the financial investment in training in the medium term.

RESUMO Introdução: Estima-se que 23% da população brasileira não tenha acesso ao oftalmologista, devido, principalmente, à falta de recursos do Sistema Público de Saúde e à distribuição geográfica irregular dos especialistas. É possível que seja caro formar oftalmologistas no Brasil. Assim, é compreensível que a maioria dos profissionais optem para ficar próximos dos grandes centros consumidores, onde estão as melhores remunerações. Objetivo: Estimar o custo para a formação de um oftalmologista e as condições do mercado de trabalho para que ele recupere o investimento. Métodos: estudo epidemiológico em bases de dados de fontes governamentais e de instituições relacionadas à regulamentação do sistema de saúde ocular. Resultados: Estimou-se que o custo para formação de um oftalmologista seja de R$ 592.272,00. Após a especialização, caso ele empenhe todo seu rendimento para reaver o valor gasto em sua formação, precisaria de 5,2 anos para atingir o ponto de equilíbrio. Conclusão: Jovens médicos oriundos de famílias incapazes de arcar com o custo de sua formação e de seu sustento, por pelo menos 14 anos após o início da graduação, dificilmente conseguirão se especializar em Oftalmologia, se não conseguirem realizar seus estudos em instituições públicas de ensino. E aqueles que conseguem se especializar, provavelmente optem por exercer a profissão em grandes centros urbanos, onde está a maior parte das oportunidades de trabalho, a fim de, a médio prazo, conseguir, pelo menos, recuperar o investimento financeiro na formação.

Downstream funding success of early career researchers for resubmitted versus new applications: A matched cohort.

BACKGROUND: Early career researchers face a hypercompetitive funding environment. To help identify effective intervention strategies for early career researchers, we examined whether first-time NIH R01 applicants who resubmitted their original, unfunded R01 application were more successful at obtaining any R01 funding within 3 and 5 years than original, unfunded applicants who submitted new NIH applications, and we examined whether underrepresented minority (URM) applicants differentially benefited from resubmission. Our observational study is consistent with an NIH working group's recommendations to develop interventions to encourage resubmission. METHODS AND FINDINGS: First-time applicants with US medical school academic faculty appointments who submitted an unfunded R01 application between 2000-2014 yielded 4,789 discussed and 7,019 not discussed applications. We then created comparable groups of first-time R01 applicants (resubmitted original R01 application or submitted new NIH applications) using optimal full matching that included applicant and application characteristics. Primary and subgroup analyses used generalized mixed models with obtaining any NIH R01 funding within 3 and 5 years as the two outcomes. A gamma sensitivity analysis was performed. URM applicants represented 11% and 12% of discussed and not discussed applications, respectively. First-time R01 applicants resubmitting their original, unfunded R01 application were more successful obtaining R01 funding within 3 and 5 years than applicants submitting new applications-for both discussed and not discussed applications: discussed within 3 years (OR 4.17 [95 CI 3.53, 4.93]) and 5 years (3.33 [2.82-3.92]); and not discussed within 3 years (2.81 [2.52, 3.13]) and 5 years (2.47 [2.22-2.74]). URM applicants additionally benefited within 5 years for not discussed applications. CONCLUSIONS: Encouraging early career researchers applying as faculty at a school of medicine to resubmit R01 applications is a promising potential modifiable factor and intervention strategy. First-time R01 applicants who resubmitted their original, unfunded R01 application had log-odds of obtaining downstream R01 funding within 3 and 5 years 2-4 times higher than applicants who did not resubmit their original application and submitted new NIH applications instead. Findings held for both discussed and not discussed applications.

Dr Mom's Added Burden.

Today's female physicians face a "triple whammy" of structural discrimination, rigid work expectations, and increasing educational debt. Coronavirus disease 2019 is disproportionately amplifying these forces on women. The burden of these forces on women, the likely long-term consequences, and some preliminary solutions are discussed.

A comparative study of medical ebook and print book prices.

BACKGROUND: Although most medical libraries buy ebooks, there has been little discussion of the comparative costs of medical ebooks and print books. OBJECTIVES: To determine whether individually purchased medical ebooks cost more or less, on average, than the same titles in print format and, if so, to calculate the price differential. METHODS: The author searched the platform of monograph vendor YBP for the 1095 titles in the 'Clinical Medicine' category of Doody's Core Titles 2018 edition. For each title, the print price and the lowest ebook price were noted; the ratio of ebook price to print book price for each title was then calculated. RESULTS: On average, ebooks cost 2.20 times more than their print equivalents, though the size of the price differential varied greatly with the publisher. For some publishers, ebooks cost nearly the same amount as print books, while for others, ebooks cost three or even four times as much as the print. DISCUSSION: The greater price of some ebooks may make them unaffordable for libraries or mean that those titles cannot be purchased as ebooks even when that format would be preferred. CONCLUSIONS: Buying ebooks, at least on a title-by-title basis, can be very costly for medical libraries.

Financial impact of the change in the vulnerability profile of More Doctors Program.

OBJECTIVE: To estimate the flow of professionals and the financial impact of the Programa Mais Médicos para o Brasil (PMMB - More Doctors for Brazil Program) within the More Doctors Program (MDP) for the Brazilian Ministry of Health and the participating municipalities of the state of São Paulo, from January 2019 to March 2022. METHODS: A financial impact study was conducted in the state of São Paulo based on public secondary databases. The number of PMMB vacancies per municipality, of physicians and vulnerability profiles were described to measure the loss of replacement of professionals in the period. RESULTS: In the specified period, the number of PMMB physicians in participating cities will decrease from 2,533 to 320, and the number of participating municipalities from 373 to 86. The municipalities that will need to replace the physicians will have a financial impact of R$ 929,487,904.77 (with sensitivity analysis, ranging from R$ 650,641,533.34 to R$ 1,208,334,276.20). CONCLUSION: The change of vulnerability methodology adopted for the PMMB will represent serious consequences, that is, less population assistance and high financial impact for the municipalities of the state of São Paulo in a scenario of budget limitations.

Role of national dermatology societies: A perspective from Tunis.

Dermatology in French-speaking African countries is facing many challenges. Dermatology societies, if they exist, are relatively young and have limited financial resources to provide regular training opportunities for their members and those in training. In several sub-Saharan nations, the small number of dermatologists is truly alarming with the prevalence of such major skin diseases as cutaneous leishmaniasis, AIDS, mycetoma, leprosy, and the consequences of skin bleaching procedures, reaching catastrophic figures.

Medical students in distress: The impact of gender, race, debt, and disability.

BACKGROUND: In 2012, over half of US medical students experienced burnout and depression. Since that time, there have been many changes to student demographics, school resources and awareness of burnout in the medical field altogether. New tools are also available to screen for student distress, a condition that correlates with low mental quality-of-life, suicidal ideation and serious thoughts of dropping out. Despite increased attention on wellbeing and improved screening methods, no large-scale studies have evaluated student distress in the modern era of medical education. The objective of this study was to determine the current prevalence of medical student distress and contributing risk factors. METHODS: Student wellbeing from a national cohort of US medical students was measured with an electronic survey in a prospective, observational survey study from 2019-2020. Medical student distress was defined as a Medical Student Wellbeing Index (MS-WBI) of ≥4. Demographic details including age, race, gender, marital status, disability, desired specialty, and debt burden were evaluated in a multivariate logistic regression model to determine possible risk factors for the development of distress. RESULTS: A total of 3,162 students responded to the survey, representing 110 unique medical schools. Of these respondents, 52.9% met criteria for distress and 22% had either taken or considered taking a leave of absence for personal wellbeing. Independent risk factors for distress included involvement in the clinical phase of medical school (OR 1.37); non-male gender (OR 1.6); debt burden >$20,000 (OR 1.37), >$100,000 (OR 1.81), and >$300,000 (OR 1.96); and disability status (OR 1.84). CONCLUSIONS: Medical student wellbeing remains poor in the modern era of medical education despite increased attention to wellbeing and increased availability of wellbeing resources. Disability status is a novel risk factor for distress identified in this study. The persistence of previously identified risk factors such as non-male gender, debt burden and clinical phase of school suggest that efforts to curb medical student distress have been inadequate to date.

Development of a Low-cost, High-fidelity Skin Model for Suturing.

BACKGROUND: In a survey of students at our institution, suturing was the most desired workshop for simulation; however, cost, quality, and availability of skin pads is often prohibitive for suturing workshops. In-hospital fabrication may be utilized to manufacture noncommercial, high-fidelity, and low-cost simulation models. We describe the production, value, and face validation of our simulated skin model. MATERIALS AND METHODS: Using an in-hospital fabrication laboratory, we have developed a model for skin and subcutaneous tissue. Our model uses a variety of commercially available materials to simulate the epidermis, dermis, subcutaneous fat, fascia, and muscle. A cost analysis was performed by comparing it with other commonly used commercial skin models. Expert surgeons assessed the material characteristics, durability, and overall quality of our model in comparison with other commercial models. RESULTS: The materials cost of our novel skin pad model was 30.9% of the mean cost of five different commonly used foam and silicone-based commercial skin models. This low-cost model is more durable than the commercial models, does not require skin pad holders, and is of higher fidelity than the commercial products. In addition to skin closure, our model may be used to simulate fascial closure or fasciotomy. CONCLUSIONS: Model creation using in-hospital workspaces is an effective strategy to decrease cost while improving quality of surgical simulation. Our methods for creation of an inexpensive and high-fidelity skin pad may be purposed for several soft tissue models.