A retomada do Programa Mais Médicos em 2023 / La reanudación del Programa Mais Médicos en 2023 / The resumption of the Mais Médicos Program in 2023

RESUMO: Os vazios assistenciais e a demanda por médicos no Sistema Único de Saúde são problemas crônicos, principalmente nas regiões mais vulneráveis do Norte e Nordeste e em áreas periféricas de centros urbanos. Frente a essa necessidade, o governo federal está recompondo o Programa Mais Médicos para o Brasil, por meio dos ministérios da Saúde, da Educação e da Fazenda. Os principais eixos do programa são a provisão de médicos na Atenção Primária em Saúde e a formação desses profissionais, nessa versão associados à especialização e mestrado profissional, tendo como referência a concepção de Atenção Primária à Saúde integral. Nesta nota de conjuntura, trazemos informações sobre a trajetória oficial deste movimento de retomada, recuperando brevemente características e avanços proporcionados por essa política - instituída primeiramente em 2013 - e apresentando peculiaridades da versão atual, proposta pewla medida provisória n. 1.165, de 20 de março de 2023, convertida em lei (n. 14.621/2023) e sancionada em julho deste ano.

RESUMEN: Las brechas de asistencia y la demanda de médicos en el Sistema Único de Salud son problemas crónicos, especialmente en las regiones más vulnerables del Norte y del Noreste y en las zonas periféricas de los centros urbanos. Ante esta necesidad, el gobierno federal está recomponiendo el Programa Mais Médicos para Brasil, a través de los ministerios de Salud, Educación y Hacienda. Los principales ejes del programa son la provisión de médicos en Atención Primaria de Salud y la formación de estos profesionales, en esta versión asociada a la especialización y maestría profesional, con referencia al concepto de atención primaria para la salud integral. En esta nota de coyuntura, traemos información sobre la trayectoria oficial de este movimiento de reanudación, recuperando brevemente las características y los avances proporcionados por esta política - establecida por primera vez en 2013 - y presentando las peculiaridades de la versión actual, propuesta por la medida provisional n. 1.165, del 20 de marzo de 2023, convertida en ley (n. 14.621/2023) y sancionado en julio de este año.

ABSTRACT: Healthcare gaps and the demand for physicians in the Brazilian Health System are chronic problems, especially in the most vulnerable regions of the North and Northeast and in peripheral areas of urban centers. In view of this need, the federal government is recomposing the Mais Médicos Program for Brazil, through the ministries of Health, Education and Finance. The main axes of the program are the provision of doctors in Primary Health Care and the training of these professionals, in this version associated with specialization and professional master's, with reference to the concept of primary care for integral health. In this note of conjuncture, we bring information about the official trajectory of this recovery movement, briefly recovering characteristics and advances provided by this policy - first established in 2013 - and presenting peculiarities of the current version, proposed by provisional measure n. 1.165, of March 20th, 2023, converted into law (n. 14.621/2023) and sanctioned in July of this year.

Primary Care Physician Supply by County-Level Characteristics, 2010-2019.

This study evaluates and compares US trends between 2010 and 2019 in per-capita primary care physician supply by county-level racial and ethnic minority concentration, poverty, rurality, and region.

Dual-eligible beneficiaries and inadequate access to primary care.

OBJECTIVES: To determine whether enough primary care providers are in close proximity to where dual-eligible beneficiaries live to provide the capacity needed for integrated care models. STUDY DESIGN: Secondary data analysis using dual-eligible enrollment data and health care workforce data. METHODS: We determined the density of dual-eligible beneficiaries per 1000 population in 2017 for each of 3142 US counties. County-level supply of primary care physicians (PCPs), primary care nurse practitioners, and physician assistants was determined. RESULTS: One-third of the 791 counties with the highest density of dual-eligible beneficiaries had PCP shortages. Counties with the highest density of dual-eligible beneficiaries and the fewest primary care clinicians of any type were concentrated in Southeastern states. These areas also had some of the highest coronavirus disease 2019 outbreaks within their states. CONCLUSIONS: States in the Southeastern region of the United States with some of the most restrictive scope-of-practice laws have an inadequate supply of primary care providers to serve a high concentration of dual-eligible beneficiaries. The fragmented care of the dually eligible population leads to extremely high costs, prompting policy makers to consider integrated delivery models that emphasize primary care. However, primary care workforce shortages will be an enduring challenge without scope-of-practice reforms.

Estimated Effect on Life Expectancy of Alleviating Primary Care Shortages in the United States.

BACKGROUND: Prior studies have reported that greater numbers of primary care physicians (PCPs) per population are associated with reduced population mortality, but the effect of increasing PCP density in areas of low density is poorly understood. OBJECTIVE: To estimate how alleviating PCP shortages might change life expectancy and mortality. DESIGN: Generalized additive models, mixed-effects models, and generalized estimating equations. SETTING: 3104 U.S. counties from 2010 to 2017. PARTICIPANTS: Children and adults. MEASUREMENTS: Age-adjusted life expectancy; all-cause mortality; and mortality due to cardiovascular disease, cancer, infectious disease, respiratory disease, and substance use or injury. RESULTS: Persons living in counties with less than 1 physician per 3500 persons in 2017 had a mean life expectancy that was 310.9 days shorter than for persons living in counties above that threshold. In the low-density counties (n = 1218), increasing the density of PCPs above the 1:3500 threshold would be expected to increase mean life expectancy by 22.4 days (median, 19.4 days [95% CI, 0.9 to 45.6 days]), and all such counties would require 17 651 more physicians, or about 14.5 more physicians per shortage county. If counties with less than 1 physician per 1500 persons (n = 2636) were to reach the 1:1500 threshold, life expectancy would be expected to increase by 56.3 days (median, 55.6 days [CI, 4.2 to 105.6 days]), and all such counties would require 95 754 more physicians, or about 36.3 more physicians per shortage county. LIMITATION: Some projections are based on extrapolations of the actual data. CONCLUSION: In counties with fewer PCPs per population, increases in PCP density would be expected to substantially improve life expectancy. PRIMARY FUNDING SOURCE: None.

Fully Integrated Readiness for Service Training (FIRST): An Accelerated Medical Training Program for Rural and Underserved North Carolina.

PROBLEM: The U.S. primary care workforce remains inadequate to meet the health needs of the U.S. population. Effective programs are needed to provide workforce development for rural and other underserved areas. APPROACH: At the University of North Carolina (UNC) School of Medicine (SOM), between November 2014 and July 2015, the authors developed and implemented the Fully Integrated Readiness for Service Training (FIRST) Program, an accelerated curriculum focused on rural and underserved care that links 3 years of medical school with a conditional acceptance into UNC's 3-year family medicine residency, followed by 3 years of practice support post-graduation. Students are recruited to the FIRST Program during the fall of their first year of medical school. The FIRST Program promotes close faculty mentorship and familiarity with the health care system, includes a longitudinal quality improvement project with an assigned patient panel, includes early integration into the clinic, and fosters a close cohort of fellow students. OUTCOMES: As of March 2020, the FIRST Program had successfully recruited 5 classes of medical students, and 3 of those classes had matched into residency. In total, as of March 2020, 18 students had participated in the FIRST Program. NEXT STEPS: The FIRST Program will be expanded to additional clinical sites across North Carolina and to specialties beyond family medicine, including pediatrics, general surgery, and psychiatry.

Beyond the COVID-19 Pandemic: The Urgent Need to Expand Primary Care and Family Medicine.

The COVID-19 pandemic, together with its resultant economic downturn, has unmasked serious problems of access, costs, quality of care, inequities, and disparities of US health care. It has exposed a serious primary care shortage, the unreliability of employer-sponsored health insurance, systemic racism, and other dysfunctions of a system turned on its head without a primary care base. Fundamental reform is urgently needed to bring affordable health care that is accessible to all Americans. Over the last 40-plus years, our supposed system has been taken over by corporate stakeholders with the presumption that a competitive unfettered marketplace will achieve the needed goal of affordable, accessible care. That theory has been thoroughly disproven by experience as the ranks of more than 30 million uninsured and 87 million underinsured demonstrates. Three main reform alternatives before us are: (1) to build on the Affordable Care Act; (2) to implement some kind of a public option; and (3) to enact single-payer Medicare for All. It is only the third option that can make affordable, comprehensive health care accessible for our entire population. As the debate goes forward over these alternatives during this election season, the likelihood of major change through a new system of national health insurance is becoming increasingly realistic. Rebuilding primary care and public health is a high priority as we face a new normal in US health care that places the public interest above that of corporate stakeholders and Wall Street investors. Primary care, and especially family medicine, should become the foundation of a reformed health care system.

Changes in Health Care Use and Outcomes After Turnover in Primary Care.

Importance: Disruptions of continuity of care may harm patient outcomes, but existing studies of continuity disruption are limited by an inability to separate the association of continuity disruption from that of other physician-related factors. Objectives: To examine changes in health care use and outcomes among patients whose primary care physician (PCP) exited the workforce and to directly measure the association of this primary care turnover with patients' health care use and outcomes. Design, Setting, and Participants: This cohort study used nationally representative Medicare billing claims for a random sample of 359 470 Medicare fee-for-service beneficiaries with at least 1 PCP evaluation and management visit from January 1, 2008, to December 31, 2017. Primary care physicians who stopped practicing were identified and matched with PCPs who remained in practice. A difference-in-differences analysis compared health care use and clinical outcomes for patients who did lose PCPs with those who did not lose PCPs using subgroup analyses by practice size. Subgroup analyses were done on visits from January 1, 2008, to December 31, 2017. Exposure: Patients' loss of a PCP. Main Outcomes and Measures: Primary care, specialty care, urgent care, emergency department, and inpatient visits, as well as overall spending for patients, were the primary outcomes. Receipt of appropriate preventive care and prescription fills were also examined. Results: During the study period, 9491 of 90 953 PCPs (10.4%) exited Medicare. We matched 169 870 beneficiaries whose PCP exited (37.2% women; mean [SD] age, 71.4 [6.1] years) with 189 600 beneficiaries whose PCP did not exit (36.9% women; mean [SD] age, 72.0 [5.0] years). The year after PCP exit, beneficiaries whose PCP exited had 18.4% (95% CI, -19.8% to -16.9%) fewer primary care visits and 6.2% (95% CI, 5.4%-7.0%) more specialty care visits compared with beneficiaries who did not lose a PCP. This outcome persisted 2 years after PCP exit. Beneficiaries whose PCP exited also had 17.8% (95% CI, 6.0%-29.7%) more urgent care visits, 3.1% (95% CI, 1.6%-4.6%) more emergency department visits, and greater spending ($189 [95% CI, $30-$347]) per beneficiary-year after PCP exit. These shifts were most pronounced for patients of exiting PCPs in solo practice, whose beneficiaries had 21.5% (95% CI, -23.8% to -19.3%) fewer primary care visits, 8.8% (95% CI, 7.6%-10.0%) more specialty care visits, 4.4% more emergency department visits (95% CI, 2.1%-6.7%), and $260 (95% CI, $12-$509) in increased spending. Conclusions and Relevance: Loss of a PCP was associated with lower use of primary care and increased use of specialty, urgent, and emergency care among Medicare beneficiaries. Interrupting primary care relationships may negatively impact health outcomes and future engagement with primary care.

Calculating physician supply using a service day method and the income percentiles method: a descriptive analysis.

BACKGROUND: It is important to have an accurate count of physicians and a measurable understanding of their service provision for physician resource planning. Our objective was to compare 2 methods (income percentiles [IP] and service day activities [SVD]) for calculating the supply of full-time (FT) and part-time (PT) primary care physicians (PCPs) as measures of both physician supply counts and level of provider continuity. METHODS: Using an observational study design, we compared 2 methods of calculating the supply of PT and FT PCPs for 2011-2015. For the IP approach, the Canadian Institute for Health Information's method was applied to Alberta Health billing data. The SVD method calculated annual service days for fee-for-service PCPs. A simple descriptive analysis was conducted of the supply of PT and FT PCPs. RESULTS: The 2 methods agreed on the FT versus PT status of 85.2% of PCPs in 2015 but disagreed on the status of 490 PCPs. A total of 239 PCPs were classified as working FT by the IP method but PT by the SVD method. Two hundred and fifty-one PCPs were classified as working PT according by the IP method but FT by the SVD method. The former group of 239 PCPs worked fewer days per week (3.22 v. 4.1) and fewer weekend days per year (8.6 v. 24.1), billed more per year ($300 327 v. $201 834) and saw more patients per day (26.8 v. 17.8) with less continuity of care (38.0% v. 72.0%) than the latter group of 251 PCPs. INTERPRETATION: The SVD method provides a valid alternative to calculating GP supply that distinguishes groups of physicians that the standard IP methodology does not. Those groups provide very different service; policy-makers may benefit from distinguishing them.

Impact of the Programa Mais médicos (more doctors Programme) on primary care doctor supply and amenable mortality: quasi-experimental study of 5565 Brazilian municipalities.

BACKGROUND: Investing in human resources for health (HRH) is vital for achieving universal health care and the Sustainable Development Goals. The Programa Mais Médicos (PMM) (More Doctors Programme) provided 17,000 doctors, predominantly from Cuba, to work in Brazilian primary care. This study assesses whether PMM doctor allocation to municipalities was consistent with programme criteria and associated impacts on amenable mortality. METHODS: Difference-in-differences regression analysis, exploiting variation in PMM introduction across 5565 municipalities over the period 2008-2017, was employed to examine programme impacts on doctor density and mortality amenable to healthcare. Heterogeneity in effects was explored with respect to doctor allocation criteria and municipal doctor density prior to PMM introduction. RESULTS: After starting in 2013, PMM was associated with an increase in PMM-contracted primary care doctors of 15.1 per 100,000 population. However, largescale substitution of existing primary care doctors resulting in a net increase of only 5.7 per 100,000. Increases in both PMM and total primary care doctors were lower in priority municipalities due to lower allocation of PMM doctors and greater substitution effects. The PMM led to amenable mortality reductions of - 1.06 per 100,000 (95%CI: - 1.78 to - 0.34) annually - with greater benefits in municipalities prioritised for doctor allocation and where doctor density was low before programme implementation. CONCLUSIONS: PMM potential health benefits were undermined due to widespread allocation of doctors to non-priority areas and local substitution effects. Policies seeking to strengthen HRH should develop and implement needs-based criteria for resource allocation.

The Neighborhood Deprivation Index and Provider Geocoding Identify Critical Catchment Areas for Diabetes Outreach.

PURPOSE: In designing a Project ECHO™ type 1 diabetes (T1D) program in Florida and California, the Neighborhood Deprivation Index (NDI) was used in conjunction with geocoding of primary care providers (PCPs) and endocrinologists in each state to concurrently identify areas with low endocrinology provider density and high health risk/poverty areas. The NDI measures many aspects of poverty proven to be critical indicators of health outcomes. METHODS: The data from the 2013-2017 American Community Survey (ACS) 5-year estimates were used to create NDI maps for California and Florida. In addition, geocoding and 30-minute drive-time buffers were performed using publicly available provider directories for PCPs and endocrinologists in both states by Google Geocoding API and the TravelTime Search Application Programming Interface (API). RESULTS: Based on these findings, we defined high-need catchment areas as areas with (1) more than a 30-minute drive to the nearest endocrinologist but within a 30-minute drive to the nearest PCP; (2) an NDI in the highest quartile; and (3) a population above the median (5199 for census tracts, and 1394 for census block groups). Out of the 12 181 census tracts and 34 490 census block groups in California and Florida, we identified 57 tracts and 215 block groups meeting these criteria as high-need catchment areas. CONCLUSION: Geospatial analysis provides an important initial methodologic step to effectively focus outreach efforts in diabetes program development. The integration of the NDI with geocoded provider directories enables more cost-effective and targeted interventions to reach the most vulnerable populations living with T1D.

Using Machine Learning to Predict Primary Care and Advance Workforce Research.

PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data. METHODS: We used 2014-2016 prescription and procedure Medicare data to train 3 sets of random forest classifiers (prescription only, procedure only, and combined) to predict specialty. Self-reported specialties were condensed to 27 categories. Physicians were assigned to testing and training cohorts, and random forest models were trained and then applied to 2014-2016 data sets for the testing cohort to generate a series of specialty predictions. Comparing the predicted specialty to self-report, we assessed performance with F1 scores and area under the receiver operating characteristic curve (AUROC) values. RESULTS: A total of 564,986 physicians were included. The combined model had a greater aggregate (macro) F1 score (0.876) than the prescription-only (0.745; P <.01) or procedure-only (0.821; P <.01) model. Mean F1 scores across specialties in the combined model ranged from 0.533 to 0.987. The mean F1 score was 0.920 for primary care. The mean AUROC value for the combined model was 0.992, with values ranging from 0.982 to 0.999. The AUROC value for primary care was 0.982. CONCLUSIONS: This novel approach showed high performance and provides a near real-time assessment of current primary care practice. These findings have important implications for primary care workforce research in the absence of accurate data.

Understanding why primary care doctors leave direct patient care: a systematic review of qualitative research.

BACKGROUND: UK general practitioners (GPs) are leaving direct patient care in significant numbers. We undertook a systematic review of qualitative research to identify factors affecting GPs' leaving behaviour in the workforce as part of a wider mixed methods study (ReGROUP). OBJECTIVE: To identify factors that affect GPs' decisions to leave direct patient care. METHODS: Qualitative interview-based studies were identified and their quality was assessed. A thematic analysis was performed and an explanatory model was constructed providing an overview of factors affecting UK GPs. Non-UK studies were considered separately. RESULTS: Six UK interview-based studies and one Australian interview-based study were identified. Three central dynamics that are key to understanding UK GP leaving behaviour were identified: factors associated with low job satisfaction, high job satisfaction and those linked to the doctor-patient relationship. The importance of contextual influence on job satisfaction emerged. GPs with high job satisfaction described feeling supported by good practice relationships, while GPs with poor job satisfaction described feeling overworked and unsupported with negatively impacted doctor-patient relationships. CONCLUSIONS: Many GPs report that job satisfaction directly relates to the quality of the doctor-patient relationship. Combined with changing relationships with patients and interfaces with secondary care, and the gradual sense of loss of autonomy within the workplace, many GPs report a reduction in job satisfaction. Once job satisfaction has become negatively impacted, the combined pressure of increased patient demand and workload, together with other stress factors, has left many feeling unsupported and vulnerable to burn-out and ill health, and ultimately to the decision to leave general practice.