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1.
Hong Kong Med J ; 4(4): 375-381, 1998 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-11830700

RESUMO

Because of the lack of suitable generic health status measures in Hong Kong that reflect the value structure and culture of the society, we have translated and calibrated the Sickness Impact Profile, which was originally developed in the United States. Translation consisted of a sequence of forward translations into Chinese, back translations into English and, when there was a loss of meaning or conceptual equivalence, retranslation into Chinese. Sixty Hong Kong Chinese people, including health professionals, patients, and members of the public were then recruited to determine item and dimension weights for the Hong Kong population. Individual ratings were averaged to obtain a consensus value for each item. Within-category reliability analysis for scores varied from 0.70 to 0.92 (Cronbach's alpha values) and overall internal consistency was 0.98. There were only small differences between this version and the original American English version in the ratings given to individual questions (Pearson's product moment correlation coefficient, r=0.8). We have developed a Chinese translation of the Sickness Impact Profile, which can now be used to evaluate health outcomes in Hong Kong and to compare outcomes with studies in other populations where the Sickness Impact Profile was used.

2.
Crit Care Med ; 27(1): 51-7, 1999 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-9934893

RESUMO

OBJECTIVES: To assess mortality and functional health status of patients at 1 yr following admission to a multidisciplinary intensive care unit (ICU) in Hong Kong. To determine which factors are associated with a poor long-term outcome. DESIGN: Prospective data collection and review. SETTING: A 14-bed multidisciplinary ICU in a 1,400-bed tertiary care university hospital. PATIENTS: Data from 2,268 consecutive patients admitted over a 2.5-yr period was analyzed, including follow-up at 1 yr in 853 adult survivors. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The patients' clinical details and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were recorded on day 2 of admission and reviewed at time of discharge or death. The mean APACHE II score on admission was 18. Survival status at 1 yr was ascertained and the sickness impact profile (SIP) scored as a measure of functional health status for survivors. Sixty-five percent of patients survived to discharge from hospital and 44% of patients were known to survive to 1 yr; 6% of patients could not be traced at 1 yr. Functional health status was assessed in 85% of eligible adult patients. Survivors to 1 yr were younger than nonsurvivors and had lower APACHE II scores. The median SIP score was 5.1, (25th and 75th percentiles: 0 to 15), and 76% of patients had SIP scores < or = 15, i.e., normal health to moderate disability. Five percent of the patients were not working or had retired for health-related reasons. Stepwise logistic regression to identify factors associated with poor functional health status defined as a SIP score >15 at 1 yr found increasing age, cardiac/ respiratory arrest, intracranial hemorrhage, and trauma to be associated with poor outcomes. A correlation was found between APACHE II scores and SIP scores (Spearman's correlation coefficient = 0.13, p < .001). CONCLUSIONS: The SIP scores indicated that the majority of patients who survived to 1 yr after ICU admission enjoyed reasonable functional health status. A poor functional health status at 1 yr did not relate to the severity of the acute illness suffered, but appeared to relate to the prognosis of the underlying disease process.


Assuntos
Cuidados Críticos/estatística & dados numéricos , Nível de Saúde , Avaliação de Resultados em Cuidados de Saúde , APACHE , Adolescente , Adulto , Distribuição por Idade , Fatores Etários , Idoso , Cuidados Críticos/normas , Feminino , Hong Kong/epidemiologia , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Prognóstico , Estudos Prospectivos , Distribuição por Sexo , Perfil de Impacto da Doença , Análise de Sobrevida
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