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1.
Med Care ; 38(5): 494-507, 2000 May.
Artigo em Inglês | MEDLINE | ID: mdl-10800976

RESUMO

OBJECTIVE: The objective of this work was to estimate the effect of Medicare beneficiaries' use of home health care (HHC) for 6 months after hospital discharge on the change in functional status over a 1-year period beginning before hospitalization. DATA SOURCES AND STUDY SETTING: Data came from the Medicare Current Beneficiary Survey, which is a nationally representative sample of Medicare beneficiaries, in-person interview data, and Medicare claims for 1991 through 1994 for 2,127 nondisabled, community-dwelling, elderly Medicare beneficiaries who were hospitalized within 6 months of their annual in-person interviews. STUDY DESIGN: Econometric estimation with the instrumental variable method was used to correct for observational data bias, ie, the nonrandom allocation of discharged beneficiaries to the use of posthospitalization HHC. The analysis estimates a first-stage model of HHC use from which an instrumental variable estimate is constructed to estimate the effect on change in functional status. PRINCIPAL FINDINGS: The instrumental variable estimates suggest that HHC users experienced greater improvements in functional status than nonusers as measured by the change in a continuous scale based on the number and mix of activities of daily living and instrumental activities of daily living before and after hospitalization. The estimated improvement in functional status could be as large as 13% for a 10% increase in HHC use. In contrast, estimation with the observational data on HHC use implies that HHC users had poorer health outcomes. CONCLUSIONS: Adjusting for potential observational data bias is critical to obtaining estimates of the relationship between the use of posthospitalization HHC and the change in health before and after hospitalization. After adjustment, the results suggest that efforts to constrain Medicare's spending for HHC, as required by the Balanced Budget Act of 1997, may lead to poorer health outcomes for some beneficiaries.


Assuntos
Serviços de Assistência Domiciliar/estatística & dados numéricos , Medicare/estatística & dados numéricos , Alta do Paciente , Atividades Cotidianas , Idoso , Idoso de 80 Anos ou mais , Feminino , Necessidades e Demandas de Serviços de Saúde/estatística & dados numéricos , Indicadores Básicos de Saúde , Humanos , Masculino , Medicaid/estatística & dados numéricos , Modelos Econométricos , Alta do Paciente/estatística & dados numéricos , Fatores Socioeconômicos , Fatores de Tempo , Estados Unidos
2.
Inquiry ; 35(1): 49-61, 1998.
Artigo em Inglês | MEDLINE | ID: mdl-9597017

RESUMO

Provisions in the 1997 Balanced Budget Act affecting Medicare skilled nursing facility (SNF) and home health agency (HHA) services heighten the importance of knowing more about beneficiary, market, and policy factors that impact use of post-acute care and the costs of such services. This study used data from the Medicare Current Beneficiary Survey and other sources to address these issues. Findings shed light on responses that need to be monitored in light of the recently mandated policies and other SNF and HHA options that are being considered.


Assuntos
Assistência ao Convalescente/economia , Agências de Assistência Domiciliar/economia , Medicare/economia , Instituições de Cuidados Especializados de Enfermagem/economia , Atividades Cotidianas , Assistência ao Convalescente/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Custos e Análise de Custo , Grupos Diagnósticos Relacionados/economia , Grupos Diagnósticos Relacionados/estatística & dados numéricos , Feminino , Setor de Assistência à Saúde/estatística & dados numéricos , Agências de Assistência Domiciliar/estatística & dados numéricos , Humanos , Benefícios do Seguro/economia , Benefícios do Seguro/estatística & dados numéricos , Masculino , Medicaid/economia , Medicaid/estatística & dados numéricos , Medicare/estatística & dados numéricos , Pessoa de Meia-Idade , Modelos Econômicos , Instituições de Cuidados Especializados de Enfermagem/estatística & dados numéricos , Estados Unidos
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