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Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: [email protected]. Type 508 Accommodation and the title of the report in the subject line of e-mail. Progress in Chronic Disease Prevention Smoking-Attributable Mortality, Morbidity, and Economic Costs -- California, 1985Cigarette smoking remains the single most important preventable cause of death in the United States and has long been implicated as a major risk factor in a variety of chronic diseases, including heart and cerebrovascular diseases, malignant neoplasms, and respiratory and other diseases (1). Smoking is a major health burden and has important economic effects. To examine the impact of smoking, the California Chronic and Sentinel Disease Surveillance Program (CCSDSP), California Department of Health Services, estimated the health and economic costs associated with this risk factor in California for a single year (1985). The CCSDSP used smoking-attributable fractions (SAFs) for 24 under- lying causes of death (based on U.S. prevalence estimates of current and former smokers and neversmokers and relative risk estimates for these groups) to estimate the number of smoking-attributable deaths in 1985 and the number of years of potential life lost (YPLL) to age 80 (2). The CCSDSP also applied these SAFs to 1985 California hospital discharge data to estimate the number of smoking-attributable hospitalizations and their costs. National figures for the ratio of hospital costs to direct costs and the ratio of direct costs to total costs (3) were applied to the California hospital data to estimate these cost components for California. The CCSDSP determined that in 1985 smoking was directly responsible for
Editorial Note: The CCSDSP has demonstrated that smoking is an important cause of mortality, morbidity, and economic costs in California. The CCSDSP data are supported by patterns demonstrated in other national and state-based studies (2,3,5-7); however, specific differences exist among findings in these studies and probably reflect differences in methodologic assumptions, study population and subgroup composition, overall mortality experience, and estimates of life expectancies and smoking prevalences. In an attempt to capture morbidity and related costs, CCSDSP has also applied SAFs to estimate the number of hospital discharges for persons with smoking- attributable illnesses. They have adopted the working assumption that SAFs derived from the cohort studies investigating smoking-related mortality may be useful surrogates for hospital discharge SAFs (the latter not being available from other studies). Although some of the methodologic issues of estimating discharges of persons hospitalized for smoking-attributable illnesses require further consideration, CCSDSP's results suggest that hospital discharges for persons with smoking-related illnesses represent a large health and financial burden for the state. CCSDSP's findings may underestimate actual smoking-related mortality, morbidity, and associated costs. Its results are based on relative risk estimates from prospective studies completed within the past several decades rather than on estimates extrapolated from more recent or ongoing studies (1). More recent studies have yielded substantially higher relative risk estimates for several smoking-related diseases than did the earlier studies, especially for women. The earlier studies also lacked stable estimates for several diseases currently presumed to be related to smoking. Similarly, deaths from smoking-caused fires and other injury-related deaths have not been considered. Finally, although recent evidence shows an increased risk for lung cancer and respiratory diseases in nonsmokers due to involuntary (passive) smoking (1), lack of statewide data to estimate involuntary smoking exposures makes determination of smoking-related deaths in such persons difficult. By grouping SAM from all causes into one category, CCSDSP has demonstrated that SAM actually ranks among the top three categories of death (after subtracting smoking-related deaths from the other causes). As a separate mortality category, SAM is the second leading cause of death for men and the third for women. However, unlike other categories of death (e.g., cerebrovascular diseases), the SAM category is unique because eliminating one risk factor--smoking--would eventually eliminate all deaths in this category (i.e., almost one of every six deaths in California). Calculation of the impact of smoking and associated diseases on the health and economic status of a state can be used to guide prevention efforts and interven- tion strategies. In November 1988, a unique opportunity to support prevention of smoking-related morbidity and mortality in California emerged in the form of a prop- osition to increase the excise tax on cigarettes sold in the state by 25*c per pack. Because increasing the price of cigarettes decreases smoking--especially among adolescents (1)--sponsors of the proposition sought both to decrease smoking and generate revenues for potential use in smoking prevention and health promotion efforts. This tax increase on cigarettes was approved by a majority (58%) of the California voters and became effective January 1, 1989. The $650 million in expected revenue per year will be allocated, subject to concurrence by the California legislature, for the following: health education and stop-smoking campaigns especially directed at children, research into tobacco-related diseases, reimbursing hospitals and physicians for uncompensated care (including tobacco-related illnesses), and other areas of research and prevention. An intervention against tobacco use of this magnitude is unique and represents an important opportunity to demonstrate the impact of such a commitment of resources to the antismoking campaign. CDC is collaborating with state health departments to establish surveillance systems for chronic diseases. Goals of these systems are to estimate the occurrence of these diseases, the prevalences of associated risk factors in the population, and related medical and economic costs. By using surveillance information to guide prevention efforts, public health departments can assist residents of their states in promoting health and preventing chronic disease morbidity and mortality. References
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