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1.
J Grad Med Educ ; 7(4): 705-8, 2015 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-26692999

RESUMO

BACKGROUND: In December 2014, the Energy and Commerce Committee of the US House of Representatives sent an open letter requesting interested parties to respond to 7 questions on graduate medical education (GME). More than 100 organizations and individuals responded. METHODS: An online search for responses yielded 27 organizations that had published their responses to the committee's open letter. Responses included answers to the 7 questions and additional recommendations. The 27 respondents proposed a total of 80 unique interventions. Each intervention was screened for concordance with those from other organizations, and then categorized as supportive, in opposition, or making no mention. Data were entered into a spreadsheet and rank ordered on the frequency of support. RESULTS: At the top of the rankings were several interventions with significant support from many respondents. CONCLUSIONS: Given the broader GME constituency represented by the 27 stakeholders in this analysis, the 80 proposed interventions represent a comprehensive inventory of the extant ideas regarding the financing, governance, and oversight of GME. This objective analysis could help both spur productive discussions and form the foundation for a larger public policy deliberation of GME financing.


Assuntos
Educação de Pós-Graduação em Medicina/economia , Financiamento Governamental/legislação & jurisprudência , Consenso , Educação de Pós-Graduação em Medicina/legislação & jurisprudência , Internato e Residência/economia , Estados Unidos
2.
J Bone Joint Surg Am ; 97(15): 1278-87, 2015 Aug 05.
Artigo em Inglês | MEDLINE | ID: mdl-26246263

RESUMO

The use of large-scale national databases for observational research in orthopaedic surgery has grown substantially in the last decade, and the data sets can be grossly categorized as either administrative claims or clinical registries. Administrative claims data comprise the billing records associated with the delivery of health-care services. Orthopaedic researchers have used both government and private claims to describe temporal trends, geographic variation, disparities, complications, outcomes, and resource utilization associated with both musculoskeletal disease and treatment. Medicare claims comprise one of the most robust data sets used to perform orthopaedic research, with >45 million beneficiaries. The U.S. government, through the Centers for Medicare & Medicaid Services, often uses these data to drive changes in health policy. Private claims data used in orthopaedic research often comprise more heterogeneous patient demographic samples, but allow longitudinal analysis similar to that offered by Medicare claims. Discharge databases, such as the U.S. National Inpatient Sample, provide a wide national sampling of inpatient hospital stays from all payers and allow analysis of associated adverse events and resource utilization. Administrative claims data benefit from the high patient numbers obtained through a majority of hospitals. Using claims, it is possible to follow patients longitudinally throughout encounters irrespective of the location of the institution delivering health care. Some disadvantages include lack of precision of ICD-9 (International Classification of Diseases, Ninth Revision) coding schemes. Much of these data are expensive to purchase, complicated to organize, and labor-intensive to manipulate--often requiring trained specialists for analysis. Given the changing health-care environment, it is likely that databases will provide valuable information that has the potential to influence clinical practice improvement and health policy for years to come.


Assuntos
Bases de Dados Factuais/estatística & dados numéricos , Custos de Cuidados de Saúde , Medicaid/economia , Medicare/economia , Procedimentos Ortopédicos/economia , Sistema de Registros/estatística & dados numéricos , Adulto , Idoso , Coleta de Dados , Feminino , Humanos , Masculino , Medicaid/estatística & dados numéricos , Medicare/estatística & dados numéricos , Pessoa de Meia-Idade , Procedimentos Ortopédicos/estatística & dados numéricos , Estados Unidos
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