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Background: Smoking and patterns of diet and activity are the 2 leading underlying causes of death in the United States, yet the factors that prompt individuals to adopt healthier habits are not well understood., Methods: This study was undertaken to determine whether individuals who have experienced recent adverse health events are more likely to quit smoking or to lose weight than those without recent events using Health and Retirement Study panel survey data for 20 221 overweight or obese individuals younger than 75 years and 7764 smokers from 1992 to 2000., Results: In multivariate analyses, adults with recent diagnoses of stroke, cancer, lung disease, heart disease, or diabetes mellitus were 3.2 times more likely to quit smoking than were individuals without new diagnoses (P < .001). Among overweight or obese individuals younger than 75 years, those with recent diagnoses of lung disease, heart disease, or diabetes mellitus lost -0.35 U of body mass index (calculated as weight in kilograms divided by height in meters squared) compared with those without these new diagnoses (P < .001). Smokers with multiple new diagnoses were 6 times more likely to quit smoking compared with those with no new diagnoses. The odds of quitting smoking were 5 times greater in individuals with a new diagnosis of heart disease, and body mass index declined by 0.6 U in overweight or obese individuals with a new diagnosis of diabetes mellitus (P < .001)., Conclusions: Across a range of health conditions, new diagnoses can serve as a window of opportunity that prompts older adults to change health habits, in particular, to quit smoking. Quality improvement efforts targeting secondary as well as primary prevention through the health care system are likely well founded.

Background: Readmission after heart failure (HF) hospitalization is an increasing focus for physicians and policy makers, but statistical models are needed to assess patient risk and to compare hospital performance. We performed a systematic review to describe models designed to compare hospital rates of readmission or to predict patients' risk of readmission, as well as to identify studies evaluating patient characteristics associated with hospital readmission, all among patients admitted for HF., Methods: We identified relevant studies published between January 1, 1950, and November 19, 2007, by searching MEDLINE, Scopus, PsycINFO, and all 4 Ovid Evidence-Based Medicine Reviews. Eligible English-language publications reported on readmission after HF hospitalization among adult patients. We excluded experimental studies and publications without original data or quantitative outcomes., Results: From 941 potentially relevant articles, 117 met inclusion criteria: none contained models to compare readmission rates among hospitals, 5 (4.3%) presented models to predict patients' risk of readmission, and 112 (95.7%) examined patient characteristics associated with readmission. Studies varied in case identification, used multiple types of data sources, found few patient characteristics consistently associated with readmission, and examined differing outcomes, often either readmission alone or a combined outcome of readmission or death, measured across varying periods (from 14 days to 4 years). Two articles reported model discriminations of patient readmission risk, both of which were modest (C statistic, 0.60 for both)., Conclusions: Our systematic review identified no model designed to compare hospital rates of readmission, while models designed to predict patients' readmission risk used heterogeneous approaches and found substantial inconsistencies regarding which patient characteristics were predictive. Clinically, patient risk stratification is challenging. From a policy perspective, a validated risk-standardized statistical model to accurately profile hospitals using readmission rates is unavailable in the published English-language literature to date.

Background: Veterans Affairs medical centers (VAMCs) provide better preventive and chronic disease care when compared with other health care organizations, although recent health care quality improvement initiatives outside the VAMC sector may have narrowed quality differences., Methods: Using the nationally representative 2000 and 2004 surveys of the Behavior Risk Factor Surveillance System, which included 152,310 community-dwelling insured adults in 2000 and 251,570 in 2004, we compared self-reported use of 17 recommended ambulatory care services for cancer prevention, cardiovascular risk reduction, diabetes mellitus management, and infectious disease prevention among insured adults receiving and not receiving care at VAMCs., Results: A total of 2852 insured adults (1.9%) received care at VAMCs in 2000 and 7155 (2.4%) received care at VAMCs in 2004. Use of 9 of the 17 services was greater in 2004 when compared with 2000 (P < or = .05). In 2000, receiving VAMC care was associated with greater use of 6 of the 17 services; in 2004, receiving VAMC care was associated with greater use of 12 of the 17 services (P < or = .05). In 2004, greater use among these 12 services ranged from 10% greater use of cholesterol screening to 40% greater use of colorectal cancer screening. For 13 of the 17 services, the likelihood of service use among adults receiving VAMC care when compared with adults not receiving VAMC care was not significantly different in 2004 than in 2000. However, this likelihood was significantly greater (for VAMC vs non-VAMC use) in 2004 than in 2000 for breast cancer screening (relative risk [RR], 1.21 [95% confidence interval {CI}, 1.15-1.25] vs 0.80 [95% CI, 0.58-0.98]; P < .001), dilated eye examination among adults with diabetes (RR, 1.12 [95% CI, 1.07-1.15] vs 1.01 [95% CI, 0.88-1.09]; P = .04), and influenza (RR, 1.30 [95% CI, 1.24-1.36] vs 1.06 [95% CI, 0.89-1.21]; P = .006) and pneumococcal (RR, 1.27 [95% CI, 1.23-1.31] vs 1.04 [95% CI, 0.86-1.21]; P = .005) vaccinations., Conclusion: Despite increasing emphasis on quality of care and improved performance throughout the US health care system, adults receiving VAMC care remain more likely to receive recommended ambulatory care.