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1.
Med Care ; 53(5): 389-95, 2015 May.
Artigo em Inglês | MEDLINE | ID: mdl-25793267

RESUMO

OBJECTIVES: To evaluate the relationship between Patient-centered Medical Home (PCMH) model adoption in health centers (HCs) and clinical performance measures and to determine if adoption of PCMH characteristics is associated with better clinical performance. RESEARCH DESIGN: Data came from the Health Resources and Services Administration's 2009 Uniform Data System and the 2009 Commonwealth Fund National Survey of Federally Qualified Health Centers. Clinical performance measures included 2 process measures (childhood immunization and cervical cancer screening) and 2 outcome measures (hypertension control and diabetes control). Total and subscale PCMH scores were regressed on the clinical performance measures, adjusting for patient, provider, financial, and institutional characteristics. RESULTS: The findings showed different directional relationships, with some PCMH domains (care management, test/referral tracking, quality improvement, and external coordination) showing little or no effect on outcome measures of interest, 1 domain (access/communication) associated with improved outcomes, and 1 domain (patient tracking/registry) associated with worse outcomes. CONCLUSIONS: This study is among the first to examine the association between PCMH transformation and clinical performance in HCs, providing an understanding of the impact of PCMH adoption within safety-net settings. The mixed results highlight the importance of examining relationships between specific PCMH domains and specific clinical quality measures, in addition to analyzing overall PCMH scores which could yield distorted findings.


Assuntos
Assistência Centrada no Paciente/organização & administração , Assistência Centrada no Paciente/estatística & dados numéricos , Provedores de Redes de Segurança/organização & administração , Provedores de Redes de Segurança/estatística & dados numéricos , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/terapia , Detecção Precoce de Câncer/estatística & dados numéricos , Pesquisas sobre Atenção à Saúde , Humanos , Hipertensão/diagnóstico , Hipertensão/terapia , Avaliação de Processos e Resultados em Cuidados de Saúde , Qualidade da Assistência à Saúde/organização & administração , Qualidade da Assistência à Saúde/estatística & dados numéricos , Características de Residência , Fatores Socioeconômicos , Estados Unidos , Vacinação/estatística & dados numéricos
2.
Health Serv Res ; 49(5): 1498-518, 2014 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-24779670

RESUMO

OBJECTIVE: To compare utilization and preventive care receipt among patients of federal Section 330 health centers (HCs) versus patients of other settings. DATA SOURCES: A nationally representative sample of adults from the Medical Expenditure Panel Survey (2004-2008). STUDY DESIGN: HC patients were defined as those with ≥50 percent of outpatient visits at HCs in the first panel year. Outcomes included utilization and preventive care receipt from the second panel year. We used negative binomial and logistic regression models with propensity score adjustment for confounding differences between HC and non-HC patients. PRINCIPAL FINDINGS: Compared to non-HC patients, HC patients had fewer office visits (adjusted incidence rate ratio [aIRR], 0.63) and hospitalizations (aIRR, 0.43) (both p < .001). HC patients were more likely to receive breast cancer screening than non-HC patients (adjusted odds ratio [aOR] 2.78, p < .01). In subgroup analyses, uninsured HC patients had fewer outpatient and emergency room visits and were more likely to receive dietary advice and breast cancer screening compared to non-HC patients. CONCLUSIONS: Health centers add value to the health care system by providing socially and medically disadvantaged patients with care that results in lower utilization and maintained or improved preventive care.


Assuntos
Centros Comunitários de Saúde/estatística & dados numéricos , Atenção à Saúde/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Serviços Preventivos de Saúde/estatística & dados numéricos , Atenção Primária à Saúde/estatística & dados numéricos , Adulto , Idoso , Governo Federal , Feminino , Humanos , Modelos Logísticos , Masculino , Medicaid/estatística & dados numéricos , Pessoas sem Cobertura de Seguro de Saúde/estatística & dados numéricos , Medicare/estatística & dados numéricos , Pessoa de Meia-Idade , Razão de Chances , Estados Unidos , Adulto Jovem
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