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1.
Med Care Res Rev ; 78(5): 627-637, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-32696719

RESUMO

We use data from the 2012-2015 TRICARE Standard Survey to examine factors that affect civilian health care providers' acceptance of patients covered by the U.S. Department of Defense's TRICARE insurance program and Medicare. We find that 74% of physicians report that they accept new TRICARE patients compared with 83% accepting new Medicare patients; in contrast, only 36% of mental health providers report that they accept new Medicare and/or TRICARE patients. Among the most common reasons provided by both physicians and mental health providers for not accepting either insurance type are insufficient reimbursement or their specialty not being covered; lack of awareness of TRICARE is also frequently cited, particularly among mental health providers. These findings suggest that successful strategies to increase provider acceptance of TRICARE and Medicare may include improving reimbursement rates and specialty coverage and increasing provider awareness of TRICARE through outreach programs.


Assuntos
Medicare , Médicos , Idoso , Pessoal de Saúde , Humanos , Inquéritos e Questionários , Estados Unidos
2.
Health Aff (Millwood) ; 38(8): 1343-1350, 2019 08.
Artigo em Inglês | MEDLINE | ID: mdl-31381407

RESUMO

TRICARE provides health benefits to more than nine million beneficiaries (active duty and retired military members and their families). Complaints about access to civilian providers in TRICARE's preferred provider organization (PPO) plan led Congress to mandate surveys of beneficiaries and providers to identify the extent of the problem and the reasons for it. The beneficiary survey asked about beneficiaries' perceived access to care, and the provider survey asked about providers' acceptance of TRICARE patients. TRICARE's civilian PPO plans are required to maintain provider networks wherever TRICARE's health maintenance organization option (known as Prime) is offered. For the years 2012-15, we describe beneficiary access and utilization and provider participation in TRICARE's PPO plans in Prime and non-Prime markets. We also compare individual market rankings for access and acceptance. In both market types, most providers reported participating in TRICARE's PPO network, and most PPO users reported using network providers. In areas where Prime is not offered, PPO users reported slightly better access, and providers were more likely to accept new PPO patients. Areas with low access and acceptance, or where multiple access measures indicate problems, may be fruitful for in-depth investigation.


Assuntos
Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Serviços de Saúde Militar , Organizações de Prestadores Preferenciais/estatística & dados numéricos , Adolescente , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Militares , Organizações de Prestadores Preferenciais/organização & administração , Inquéritos e Questionários , Estados Unidos , Veteranos , Adulto Jovem
3.
Circ Cardiovasc Qual Outcomes ; 2(5): 407-13, 2009 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-20031870

RESUMO

BACKGROUND: In 2009, the Centers for Medicare & Medicaid Services is publicly reporting hospital-level risk-standardized 30-day mortality and readmission rates after acute myocardial infarction (AMI) and heart failure (HF). We provide patterns of hospital performance, based on these measures. METHODS AND RESULTS: We calculated the 30-day mortality and readmission rates for all Medicare fee-for-service beneficiaries ages 65 years or older with a primary diagnosis of AMI or HF, discharged between July 2005 and June 2008. We compared weighted risk-standardized mortality and readmission rates across Hospital Referral Regions and hospital structural characteristics. The median 30-day mortality rate was 16.6% for AMI (range, 10.9% to 24.9%; 25th to 75th percentile, 15.8% to 17.4%; 10th to 90th percentile, 14.7% to 18.4%) and 11.1% for HF (range, 6.6% to 19.8%; 25th to 75th percentile, 10.3% to 12.0%; 10th to 90th percentile, 9.4% to 13.1%). The median 30-day readmission rate was 19.9% for AMI (range, 15.3% to 29.4%; 25th to 75th percentile, 19.5% to 20.4%; 10th to 90th percentile, 18.8% to 21.1%) and 24.4% for HF (range, 15.9% to 34.4%; 25th to 75th percentile, 23.4% to 25.6%; 10th to 90th percentile, 22.3% to 27.0%). We observed geographic differences in performance across the country. Although there were some differences in average performance by hospital characteristics, there were high and low hospital performers among all types of hospitals. CONCLUSIONS: In a recent 3-year period, 30-day risk-standardized mortality rates for AMI and HF varied among hospitals and across the country. The readmission rates were particularly high.


Assuntos
Insuficiência Cardíaca/mortalidade , Mortalidade Hospitalar , Infarto do Miocárdio/mortalidade , Readmissão do Paciente/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Planos de Pagamento por Serviço Prestado/estatística & dados numéricos , Sistemas de Informação Geográfica , Política de Saúde , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Hospitais/estatística & dados numéricos , Humanos , Medicare/estatística & dados numéricos , Fatores de Risco , Estados Unidos/epidemiologia
4.
J Natl Med Assoc ; 101(7): 663-70, 2009 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-19634587

RESUMO

BACKGROUND: As a major provider of health care for racial and ethnic minority groups, the federal government has affirmed its commitment to the elimination of health disparities. Although numerous studies have examined health care disparities in various federal systems of care, few have examined these issues within TRICARE, the Department of Defense (DoDJ's program for providing health care coverage to members of the uniformed services and their dependents. METHODS: This study provides an exploratory analysis examining apparent disparities in health status, access to and satisfaction with care, and use of preventive care using the 2007 Health Care Survey of DoD Beneficiaries. Analyses compare outcomes by race/ethnicity and between TRICARE beneficiaries and national norms derived from the National Consumer Assessment of Health Plans Study Benchmarking Database and the National Healthcare Disparities Report, and are stratified by duty status. RESULTS: Compared to black non-Hispanics, a higher proportion of white non-Hispanic active-duty and retiree TRICARE beneficiaries reported good to excellent health status. However, on most measures, we found no differences between white non-Hispanic beneficiaries and members of racial/ethnic groups. When differences did exist, minority populations were likely to report better access to and use of services than whites. CONCLUSIONS: Although health disparities exist in health status and some measures of preventive care, black non-Hispanics and Hispanics often receive more equitable care under TRICARE than in the nation as a whole. These findings suggest the need to explore the characteristics of TRICARE that may be associated with more-favorable outcomes for racial and ethnic minority groups.


Assuntos
Negro ou Afro-Americano/estatística & dados numéricos , Disparidades em Assistência à Saúde , Seguro Saúde , Militares , População Branca/estatística & dados numéricos , Adolescente , Adulto , Idoso , Família , Feminino , Nível de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Estados Unidos , Veteranos/estatística & dados numéricos
5.
J Manag Care Pharm ; 14(6): 541-52, 2008.
Artigo em Inglês | MEDLINE | ID: mdl-18693778

RESUMO

BACKGROUND: Prescriptions that are ordered by physicians but not picked up by patients represent a potential quality improvement opportunity in health systems. Previous research has demonstrated that anywhere from as little as 0.28% to as much as 30.0% of prescriptions are unclaimed, and that 0.45% to 22.0% of patients fail to claim prescriptions. In the Military Health System (MHS), prescriptions filled at military pharmacies are dispensed with no copayment, providing an opportunity to examine the factors that contribute to unclaimed prescriptions other than out-of-pocket cost. OBJECTIVES: To estimate the prevalence of unclaimed prescriptions in the MHS, investigate reasons for unclaimed prescriptions, and compare self-reported noncompliance, defined as the failure to pick up at least 1 prescription in a 12-month period, with evidence from an administrative database of prescription orders and dispensings. METHODS: Research methods included pharmacy staff interviews at 6 military pharmacies, a telephone survey of beneficiaries who filled prescriptions at these pharmacies, descriptive analysis of survey data, and comparison of administrative pharmacy data with self-reported survey data. Beneficiary interviews, conducted from May through July 2004, covered background characteristics, medical conditions, and unclaimed prescriptions, relying on 12 months of recall regarding noncompliance. Interviews with pharmacy staff covered day-to-day operations, factors that alleviate or exacerbate noncompliance, and the burden that noncompliance places on pharmacies. Administrative data from the Pharmacy Data Transaction Service (pharmacy claims) and Composite Health Care System (CHCS: prescription orders and dispensings) databases were used to select a random sample for the beneficiary survey. Survey respondents' CHCS data were matched to their responses to determine the degree of agreement between self-reports and administrative data. RESULTS: Pharmacy interviews were completed with 30 staff members at 6 military pharmacies, and telephone interviews were completed with 1,214 beneficiaries (60.6% response rate). Beneficiary respondents filled an average of 7 prescriptions in the 5 months approximately surrounding the survey administration time frame (from March to July 2004). More than half (56.8%) of respondents were female, and nearly 60.6% were retired military or their dependents. Among all respondents at all study pharmacies, 8.0% reported failing to claim at least 1 prescription during the prior 12 months. Among survey respondents deemed compliant by CHCS data, 93.8% correctly identified themselves as compliant. However, among patients identified as noncompliant using CHCS data, only 16.0% selfidentified as noncompliant. The administrative data were not concordant with self-report data: of 105 survey respondents identifying themselves as noncompliant in the prior year and matched to administrative data (CHCS), only 58.1% were noncompliant per administrative data, and of 1,065 selfidentifying as compliant, only 61.1% were compliant per administrative data. The most common reasons cited by respondents for not picking up their prescriptions were: no perceived need for the prescription (18.5% of the noncompliant), forgot to pick it up (17.3%), the prescription was not in stock (14.8%), long wait time (11.1%), the prescription was not yet available (10.5%), was out of town (9.9%), and was too busy to pick up the prescription (6.2%). Factors associated with unclaimed prescriptions were: younger age, active duty military status, lower educational levels, and the absence of certain chronic medical conditions (i.e., no claims for cardiovascular medications, no self-reported arthritis). CONCLUSIONS: The present study's survey findings of an 8.0% selfreported noncompliance rate fall in the midrange of noncompliance rates reported in previous literature: between 0.45% and 22.0% in nonmilitary populations. Although reported reasons for noncompliance were generally consistent with those identified in previously published studies, they were only partially consistent with previous military pharmacy literature, which also found that patients did not know they had a prescription waiting or had some of the prescribed medicine at home. Concordance between measures of noncompliance, comparing administrative data with patient self-report based on 12-month recall, was poor.


Assuntos
Prescrições de Medicamentos/estatística & dados numéricos , Militares/estatística & dados numéricos , Farmácias/estatística & dados numéricos , Adulto , Custos e Análise de Custo , Coleta de Dados , Prescrições de Medicamentos/economia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Cooperação do Paciente/estatística & dados numéricos , Farmácias/economia
6.
Pediatrics ; 114(2): 384-93, 2004 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-15286221

RESUMO

OBJECTIVE: Children are frequently perceived to be healthy, low-risk individuals with a majority of clinical services devoted to health maintenance and preventive clinical services. However, a subset of children have unique needs that require specialized care to achieve optimal health outcomes. The purpose of this research was to use survey tools that have been developed to identify children with special health care needs (CSHCN) to measure prevalence and resource needs of these children in the military health system (MHS). METHODS: The US Department of Defense manages the MHS, which is one of the largest integrated health care systems in the world and provides care to almost 2,000000 children. We incorporated the CSHCN survey screener and assessment questions into the annual health care survey of beneficiaries who are eligible for benefits within the MHS. In addition, we used claims information available from inpatient and outpatient services. We used parent reports from the survey to estimate the prevalence of CSHCN. Incorporating claims data and restricting our analyses to those who were enrolled continuously in a military health maintenance organization (TRICARE Prime), we described utilization of different types of health care resources and compared CSHCN with their healthy counterparts. Finally, we examined alternative types of special needs and performed regression analyses to identify the major determinants of health needs and resource utilization to guide system management and policy development. RESULTS: CSHCN compose 23% of the TRICARE Prime enrollees who are younger than 18 years and whose parents responded to the survey. The needs of a majority of these children consist of prescription medications and services targeting medical, mental health, and educational needs. CSHCN experience 5 times as many admissions and 10 times as many days in hospitals compared with children without special needs. CSHCN are responsible for nearly half of outpatient visits for enrolled children and more than three quarters of inpatient days. Service utilization varies dramatically by type of special need and other demographic variables. CONCLUSION: CSHCN represent a major challenge to organized systems of care and our society. Because they represent a group of children who are particularly at risk with potential for improved health outcomes, efforts to improve quality, coordinate care, and optimize efficiency should focus on this target population.


Assuntos
Serviços de Saúde da Criança/estatística & dados numéricos , Doença Crônica , Crianças com Deficiência/estatística & dados numéricos , Militares , Avaliação das Necessidades , Criança , Pesquisas sobre Atenção à Saúde , Necessidades e Demandas de Serviços de Saúde , Inquéritos Epidemiológicos , Humanos , Prevalência , Estados Unidos , United States Government Agencies
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