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1.
PLoS One ; 9(1): e86351, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24475108

RESUMO

BACKGROUND: This study searches the National Health Insurance Research Database (NHIRD) used in a previous project, aiming for reconstructing possible cerebrovascular disease-related groups (DRG),and estimating the costs between cerebrovascular disease and related diseases. METHODS AND MATERIALS: We conducted a nationwide retrospective cohort study in stroke inpatients, we examined the overall costs in 3 municipalities in Taiwan, by evaluating the possible costs of the expecting diagnosis related group (DRG) by using the international classification of diseases version-9 (ICD-9) system, and the overall analysis of the re-admission population that received traditional Chinese medicine (TCM) treatment and those who did not. RESULTS: The trend demonstrated that the non-participant costs were consistent with the ICD-9 categories (430 to 437) because similarities existed between years 2006 to 2007. Among the TCM patients, a wide variation and additional costs were found compared to non-TCM patients during these 2 years. The average re-admission duration was significantly shorter for TCM patients, especially those initially diagnosed with ICD 434 during the first admission. In addition, TCM patients demonstrated more severe general symptoms, which incurred high conventional treatment costs, and could result in re-admission for numerous reasons. However, in Disease 7 of ICD-9 category, representing the circulatory system was most prevalent in non-TCM inpatients, which was the leading cause of re-admission. CONCLUSION: We concluded that favorable circulatory system outcomes were in adjuvant TCM treatment inpatients, there were less re-admission for circulatory system events and a two-third reduction of re-admission within ICD-9 code 430 to 437, compared to non-TCM ones. However, there were shorter re-admission duration other than circulatory system events by means of unfavorable baseline condition.


Assuntos
Transtornos Cerebrovasculares/economia , Transtornos Cerebrovasculares/terapia , Medicina Tradicional Chinesa/economia , Estudos de Coortes , Custos e Análise de Custo/estatística & dados numéricos , Humanos , Readmissão do Paciente/estatística & dados numéricos , Estudos Retrospectivos , Taiwan , Resultado do Tratamento
2.
Stroke ; 33(11): 2670-4, 2002 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-12411659

RESUMO

BACKGROUND AND PURPOSE: Accurate information about hospital resource utilization is necessary for management of healthcare service. The purpose of this study was to determine the demographic and clinical predictors of length of hospital stay (LOS) of acute care hospitalization for first-ever ischemic stroke patients. METHODS: A group of 330 patients who suffered from first-ever ischemic stroke and were consecutively admitted to a medical center in southern Taiwan were followed prospectively. Because our intention was to identify the major predictors of LOS from the information available at admission, we evaluated only those factors that could be assessed at the time of admission. Univariate analysis and multiple regression analysis were used to identify the main predictors of LOS. RESULTS: The median LOS was 7 days (mean, 11 days; range, 1 to 122 days). Among the prespecified demographic and clinical characteristics, National Institutes of Health Stroke Scale (NIHSS) score at admission, the quadratic term of the initial NIHSS score, modified Barthel Index score at admission, small-vessel occlusion stroke, sex, and smoking were the main explanatory factors for LOS. In particular, for each 1-point increase in the total score of NIHSS, LOS increased approximately 1 day for patients with mild or moderate (score 0 to 15 points) neurological impairments, while LOS decreased approximately 1 day for patients with severe (score >15 points) neurological impairments. CONCLUSIONS: The severity of stroke, as rated by the total score on NIHSS, is an important factor that influences LOS after acute stroke hospitalization.


Assuntos
Isquemia Encefálica/diagnóstico , Pacientes Internados/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Avaliação de Resultados em Cuidados de Saúde , Acidente Vascular Cerebral/diagnóstico , Adolescente , Adulto , Distribuição por Idade , Idoso , Fibrilação Atrial/epidemiologia , Isquemia Encefálica/epidemiologia , Isquemia Encefálica/terapia , Comorbidade , Demografia , Feminino , Humanos , Tempo de Internação/economia , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Valor Preditivo dos Testes , Estudos Prospectivos , Análise de Regressão , Reprodutibilidade dos Testes , Fatores de Risco , Índice de Gravidade de Doença , Distribuição por Sexo , Acidente Vascular Cerebral/epidemiologia , Acidente Vascular Cerebral/terapia , Taiwan/epidemiologia
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