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1.
Eff Clin Pract ; 3(3): 131-7, 2000.
Artigo em Inglês | MEDLINE | ID: mdl-11182961

RESUMO

CONTEXT: Few data at the level of local health jurisdictions are available to characterize health problems specific to persons without health insurance. PRACTICE PATTERN EXAMINED: Hospitalization patterns of residents of DeKalb County, Georgia, who have no health insurance. DATA SOURCE: 1996 Georgia hospital discharge records for persons living within ZIP code areas included in or overlapping with DeKalb County. RESULTS: Of 67,156 hospital discharges, 6781 (10%) were for uninsured patients. Sixty-eight percent of uninsured hospitalizations took place in publicly owned and controlled hospitals, where uninsured persons represented 45% of all discharges. Charges associated with uninsured hospitalizations amounted to $51.3 million in 1996, of which $35.3 million (69%) was claimed by public hospitals. The uninsured were overrepresented in many diagnostic groups, including diabetes, injury and poisoning, chronic liver disease, skin disease, and infectious or parasitic disease. CONCLUSIONS: In DeKalb County, Georgia, the burden of uninsured hospitalizations falls disproportionately on the public sector. Policy initiatives are needed to more equitably share the burden of uninsured hospitalization with for-profit hospitals. Because the uninsured were overrepresented in several conditions, public health initiatives aimed at preventing these conditions should also be a priority.


Assuntos
Hospitais Públicos/estatística & dados numéricos , Cobertura do Seguro/estatística & dados numéricos , Pessoas sem Cobertura de Seguro de Saúde/estatística & dados numéricos , Adolescente , Adulto , Distribuição por Idade , Idoso , Efeitos Psicossociais da Doença , Feminino , Georgia/epidemiologia , Pesquisas sobre Atenção à Saúde/métodos , Gastos em Saúde , Hospitais Públicos/economia , Humanos , Lactente , Recém-Nascido , Pessoa de Meia-Idade , Morbidade , Órgãos Estatais de Desenvolvimento e Planejamento em Saúde , Estados Unidos , Saúde da População Urbana/estatística & dados numéricos
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