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1.
Mil Med ; 183(suppl_3): 233-238, 2018 11 01.
Artigo em Inglês | MEDLINE | ID: mdl-30462341

RESUMO

The economics of health and the economics of health care are not the same, and in fact can be competitors for resources in some cases. Using a traditional supply/demand framework can clarify the forces at work in person-centric health economics. Use of cost-effectiveness analysis, employing a broader systems perspective that incorporates sectors other than health care, and nudging individuals to better health habits are three strategies that can help to drive a shift from health care to health.


Assuntos
Assistência Centrada no Paciente/economia , Análise de Sistemas , Comportamento Cooperativo , Análise Custo-Benefício , Necessidades e Demandas de Serviços de Saúde/tendências , Humanos , Assistência Centrada no Paciente/métodos , Comportamento de Redução do Risco
2.
Am J Manag Care ; 23(8): e259-e264, 2017 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-29087149

RESUMO

OBJECTIVES: To compare geographic variation in healthcare spending and utilization between the Military Health System (MHS) and Medicare across hospital referral regions (HRRs). STUDY DESIGN: Retrospective analysis. METHODS: Data on age-, sex-, and race-adjusted Medicare per capita expenditure and utilization measures by HRR were obtained from the Dartmouth Atlas for 2007 to 2010. Similarly, adjusted data from 2007 and 2010 were obtained from the MHS Data Repository and patients assigned to HRRs. We compared high- and low-spending regions, and computed coefficient of variation (CoV) and correlation coefficients for healthcare spending, hospital inpatient days, hip surgery, and back surgery between MHS and Medicare patients. RESULTS: We found significant variation in spending and utilization across HRRs in both the MHS and Medicare. CoV for spending was higher in the MHS compared with Medicare, (0.24 vs 0.15, respectively) and CoV for inpatient days was 0.36 in the MHS versus 0.19 in Medicare. The CoV for back surgery was also greater in the MHS compared with Medicare (0.47 vs 0.29, respectively). Per capita Medicare spending per HRR was significantly correlated to adjusted MHS spending (r = 0.3; P <.0001). Correlation in inpatient days (r = 0.29; P <.0001) and back surgery (r = 0.52; P <.0001) was also significant. Higher spending markets in both systems were not comparable; lower spending markets were located mostly in the Midwest. CONCLUSIONS: In comparing 2 systems with similar pricing schemes, differences in spending likely reflect variation in utilization and the influence of local provider culture.


Assuntos
Gastos em Saúde/estatística & dados numéricos , Serviços de Saúde/estatística & dados numéricos , Medicare/estatística & dados numéricos , Medicina Militar/estatística & dados numéricos , Características de Residência/estatística & dados numéricos , Fatores Etários , Humanos , Militares , Grupos Raciais , Estudos Retrospectivos , Fatores Sexuais , Estados Unidos
3.
BMC Health Serv Res ; 17(1): 271, 2017 04 13.
Artigo em Inglês | MEDLINE | ID: mdl-28407769

RESUMO

BACKGROUND: This study seeks to quantify variation in healthcare utilization and per capita costs using system-defined geographic regions based on enrollee residence within the Military Health System (MHS). METHODS: Data for fiscal years 2007 - 2010 were obtained from the Military Health System under a data sharing agreement with the Defense Health Agency (DHA). DHA manages all aspects of the Department of Defense Military Health System, including TRICARE. Adjusted rates were calculated for per capita costs and for two procedures with high interest to the MHS- back surgery and Cesarean sections for TRICARE Prime and Plus enrollees. Coefficients of variation (CoV) and interquartile ranges (IQR) were calculated and analyzed using residence catchment area as the geographic unit. Catchment areas anchored by a Military Treatment Facility (MTF) were compared to catchment areas not anchored by a MTF. RESULTS: Variation, as measured by CoV, was 0.37 for back surgery and 0.13 for C-sections in FY 2010- comparable to rates documented in other healthcare systems. The 2010 CoV (and average cost) for per capita costs was 0.26 ($3,479.51). Procedure rates were generally lower and CoVs higher in regions anchored by a MTF compared with regions not anchored by a MTF, based on both system-wide comparisons and comparisons of neighboring areas. CONCLUSIONS: In spite of its centrally managed system and relatively healthy beneficiaries with very robust health benefits, the MHS is not immune to unexplained variation in utilization and cost of healthcare.


Assuntos
Planos de Assistência de Saúde para Empregados/estatística & dados numéricos , Medicina Militar , Saúde dos Veteranos , Área Programática de Saúde , Feminino , Órgãos Governamentais , Hospitais Militares , Humanos , Militares , Gravidez , Estados Unidos
4.
J Trauma Acute Care Surg ; 80(5): 764-75; discussion 775-7, 2016 May.
Artigo em Inglês | MEDLINE | ID: mdl-26958790

RESUMO

BACKGROUND: Racial disparities in surgical care are well described. As many minority patients are also uninsured, increasing access to care is thought to be a viable solution to mitigate inequities. The objectives of this study were to determine whether racial disparities in 30-/90-/180- day outcomes exist within a universally insured population of military-/civilian-dependent emergency general surgery (EGS) patients and ascertain whether differences in outcomes differentially persist in care received at military versus civilian hospitals and among sponsors who are enlisted service members versus officers. It also considered longer-term outcomes of EGS care. METHODS: Five years (2006-2010) of TRICARE data, which provides insurance to active/reserve/retired members of the US Armed Services and dependents, were queried for adults (≥18 years) with primary EGS conditions, defined by the AAST. Risk-adjusted survival analyses assessed race-associated differences in mortality, major acute care surgery-related morbidity, and readmission at 30/90/180 days. Models accounted for clustering within hospitals and possible biases associated with missing race using reweighted estimating equations. Subanalyses considered restricted effects among operative interventions, EGS diagnostic categories, and effect modification related to rank and military- versus civilian-hospital care. RESULTS: A total of 101,011 patients were included: 73.5% white, 14.5% black, 4.4% Asian, and 7.7% other. Risk-adjusted survival analyses reported a lack of worse mortality and readmission outcomes among minority patients at 30, 90, and 180 days. Major morbidity was higher among black versus white patients (hazard ratio [95% confidence interval): 30 days, 1.23 [1.13-1.35]; 90 days, 1.18 [1.09-1.28]; and 180 days, 1.15 [1.07-1.24], a finding seemingly driven by appendiceal disorders (hazard ratio, 1.69-1.70). No other diagnostic categories were significant. Variations in military- versus civilian-managed care and in outcomes for families of enlisted service members versus officers altered associations, to some extent, between outcomes and race. CONCLUSIONS: While an imperfect proxy of interventions is directly applicable to the broader United States, the contrast between military observations and reported racial disparities among civilian EGS patients merits consideration. Apparent mitigation of disparities among military-/civilian-dependent patients provides an example for which we as a nation and collective of providers all need to strive. The data will help to inform policy within the Department of Defense and development of disparities interventions nationwide, attesting to important differences potentially related to insurance, access to care, and military culture and values. LEVEL OF EVIDENCE: Prognostic and epidemiologic study, level III.


Assuntos
Negro ou Afro-Americano/estatística & dados numéricos , Medicina de Emergência/estatística & dados numéricos , Cirurgia Geral/estatística & dados numéricos , Disparidades em Assistência à Saúde/etnologia , Militares , National Health Insurance, United States/estatística & dados numéricos , População Branca/estatística & dados numéricos , Adolescente , Adulto , Feminino , Hospitais Gerais/economia , Hospitais Militares/economia , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Procedimentos Cirúrgicos Operatórios , Estados Unidos/epidemiologia , Ferimentos e Lesões/etnologia , Ferimentos e Lesões/cirurgia , Adulto Jovem
5.
Mil Med ; 174(7): 728-36, 2009 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-19685845

RESUMO

This study examines the economic burden of alcohol misuse to the Department of Defense (DoD) and the benefits of reduced binge drinking among beneficiaries in the DoD's TRICARE Prime plan. Data analyzed include administrative records for approximately 3 million beneficiaries age 18 to 64, DoD's Survey of Health Related Behaviors Among Military Personnel, and the National Survey on Drug Use and Health. Alcohol misuse among Prime beneficiaries cost the DoD an estimated $1.2 billion in 2006--$425 million in higher medical costs and $745 million in reduced readiness and misconduct charges. Potential annual gross benefits to the DoD of reduced binge drinking are simulated for three scenarios: (1) implementing a comprehensive alcohol screening with referral to brief intervention or treatment by primary care ($87 million/$129 million in short/long-term benefits); (2) increasing the price of alcoholic beverages on military installations by 20% ($75 million/$115 million); and (3) implementing a Web-based education program ($81 million/$123 million).


Assuntos
Intoxicação Alcoólica/economia , Política de Saúde/economia , Programas de Rastreamento/economia , Medicina Militar/economia , Militares , Política Organizacional , Desenvolvimento de Programas , Intoxicação Alcoólica/epidemiologia , Intoxicação Alcoólica/prevenção & controle , Humanos , Modelos Teóricos , Prevalência , Avaliação de Programas e Projetos de Saúde , Estados Unidos/epidemiologia
6.
Am J Health Promot ; 22(2): 120-39, 2007.
Artigo em Inglês | MEDLINE | ID: mdl-18019889

RESUMO

PURPOSE: To estimate medical and indirect costs to the Department of Defense (DoD) that are associated with tobacco use, being overweight or obese, and high alcohol consumption. DESIGN: Retrospective, quantitative research. SETTING: Healthcare provided in military treatment facilities and by providers participating in the military health system. SUBJECTS: The 4.3 million beneficiaries under age 65 years who were enrolled in the military TRICARE Prime health plan option in 2006. MEASURES: The findings come from a cost-of-disease model developed by combining information from DoD and civilian health surveys and studies; DoD healthcare encounter data for 4.1 million beneficiaries; and epidemiology literature on the increased risk of comorbidities from unhealthy behaviors. RESULTS: DoD spends an estimated $2.1 billion per year for medical care associated with tobacco use ($564 million), excess weight and obesity ($1.1 billion), and high alcohol consumption ($425 million). DoD incurs nonmedical costs related to tobacco use, excess weight and obesity, and high alcohol consumption in excess of $965 million per year. CONCLUSION: Unhealthy lifestyles are significant contributors to the cost of providing healthcare services to the nation's military personnel, military retirees, and their dependents. The continued rise in healthcare costs could impact other DoD programs and could potentially affect areas related to military capability and readiness. In 2006, DoD initiated Healthy Choices for Life initiatives to address the high cost of unhealthy lifestyles and behaviors, and the DoD continues to monitor lifestyle trends through the DoD Lifestyle Assessment Program.


Assuntos
Consumo de Bebidas Alcoólicas/economia , Medicina Militar , Militares , Obesidade/economia , Sobrepeso/economia , Tabagismo/economia , Adolescente , Adulto , Criança , Pré-Escolar , Feminino , Comportamentos Relacionados com a Saúde , Custos de Cuidados de Saúde , Promoção da Saúde , Humanos , Lactente , Recém-Nascido , Estilo de Vida , Masculino , Pessoa de Meia-Idade , Pesquisa Qualitativa , Estudos Retrospectivos , Risco , Marketing Social , Estados Unidos
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