3 resultados para Problem drug use
em Repositório da Produção Científica e Intelectual da Unicamp
Resumo:
The objective of this study was to verify factors associated with the use of medication by adults, with emphasis on the differences between men and women. It was a population-based, cross-sectional study with cluster sampling conducted in two stages in Campinas in the state of São Paulo in 2008. Among the 2,413 individuals aged 20 or older, the prevalence of use of at least one drug in the three days before the research was 45.4% (95% CI: 41.3 - 49.4) in men and 64.6% (95% CI: 59.8 - 69.2) in women. For adult men over 40 years old who were not working, former smokers, with one or more chronic diseases, with two or more health problems and who sought health care or a health professional in the two weeks preceding the research showed higher prevalence of medication use. Among women, a higher prevalence of use was observed in females over 40, obese, former smokers, who reported a short sleep pattern, with one or more chronic diseases and two or more health problems, and who reported seeking a health care service or professional in the past 15 days. The findings showed some differences in the determinants of drug use in relation to gender, revealing the greater importance of health-related behavior among women.
Resumo:
Health economic evaluations require estimates of expected survival from patients receiving different interventions, often over a lifetime. However, data on the patients of interest are typically only available for a much shorter follow-up time, from randomised trials or cohorts. Previous work showed how to use general population mortality to improve extrapolations of the short-term data, assuming a constant additive or multiplicative effect on the hazards for all-cause mortality for study patients relative to the general population. A more plausible assumption may be a constant effect on the hazard for the specific cause of death targeted by the treatments. To address this problem, we use independent parametric survival models for cause-specific mortality among the general population. Because causes of death are unobserved for the patients of interest, a polyhazard model is used to express their all-cause mortality as a sum of latent cause-specific hazards. Assuming proportional cause-specific hazards between the general and study populations then allows us to extrapolate mortality of the patients of interest to the long term. A Bayesian framework is used to jointly model all sources of data. By simulation, we show that ignoring cause-specific hazards leads to biased estimates of mean survival when the proportion of deaths due to the cause of interest changes through time. The methods are applied to an evaluation of implantable cardioverter defibrillators for the prevention of sudden cardiac death among patients with cardiac arrhythmia. After accounting for cause-specific mortality, substantial differences are seen in estimates of life years gained from implantable cardioverter defibrillators.
Resumo:
From 1992 to 1995 we studied 232 (69% male, 87% Caucasian) anti-human immunodeficiency virus (anti-HIV) positive Brazilian patients, through a questionnaire; HIV had been acquired sexually by 50%, from blood by 32%, sexually and/or from blood by 16.4% and by an unknown route by 1.7%. Intravenous drug use was reported by 29%; it was the most important risk factor for HIV transmission. The alanine aminotransferase quotient (qALT) was >1 for 40% of the patients, 93.6% had anti-hepatitis A virus antibody, 5.3% presented hepatitis B surface antigen, 44% were anti-hepatitis B core antigen positive and 53.8% were anti-hepatitis C virus (anti-HCV) positive. The anti-HCV test showed a significant association with qALT>1. Patients for whom the probable HIV transmission route was blood had a 10.8 times greater risk of being anti-HCV positive than patients infected by other routes. Among 30 patients submitted to liver biopsy, 18 presented chronic hepatitis.