Browsing by Author "Falba, Tracy"

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Open Access
Are State legislatures responding to public opinion when allocating funds for tobacco control programs?
(Health Promot Pract, 2004-07) Snyder, Angela; Falba, Tracy; Busch, Susan; Sindelar, Jody
This study explored the factors associated with state-level allocations to tobacco-control programs. The primary research question was whether public sentiment regarding tobacco control was a significant factor in the states' 2001 budget decisions. In addition to public opinion, several additional political and economic measures were considered. Significant associations were found between our outcome, state-level tobacco-control funding per capita, and key variables of interest including public opinion, amount of tobacco settlement received, the party affiliation of the governor, the state's smoking rate, excise tax revenue received, and whether the state was a major producer of tobacco. The findings from this study supported our hypothesis that states with citizens who favor more restrictive indoor air policies allocate more to tobacco control. Effective public education to change public opinion and the cultural norms surrounding smoking may affect political decisions and, in turn, increase funding for crucial public health programs.
Open Access
Health events and the smoking cessation of middle aged Americans.
(J Behav Med, 2005-02) Falba, Tracy
This study investigates the effect of serious health events including new diagnoses of heart attacks, strokes, cancers, chronic lung disease, chronic heart failure, diabetes, and heart disease on future smoking status up to 6 years postevent. Data come from the Health and Retirement Study, a nationally representative longitudinal survey of Americans aged 51-61 in 1991, followed every 2 years from 1992 to 1998. Smoking status is evaluated at each of three follow-ups, (1994, 1996, and 1998) as a function of health events between each of the four waves. Acute and chronic health events are associated with much lower likelihood of smoking both in the wave immediately following the event and up to 6 years later. However, future events do not retrospectively predict past cessation. In sum, serious health events have substantial impacts on cessation rates of older smokers. Notably, these effects persist for as much as 6 years after a health event.
Open Access
Hedonic Modeling of Singapore's Resale Public Housing Market
(2017-05-04) Xu, Jiakun
The large-scale, high-density public housing market in Singapore invites hedonic analysis, due to its homogeneity in structure quality across all neighborhoods. This paper builds a time-dummy hedonic regression model incorporating geospatial features for a large dataset of resale transactions from 2000 to 2016. Significant anticipatory price effects are found for new subway stations, which peak at two years before station opening. A hedonic price index suggests that affordability was a problem during the sustained period of property price inflation from 2011 to 2013. District-level analysis shows evidence of increasing rent gradients, wealth disparities, and "lottery" effects in asset growth. I discuss the potential contributions of these insights to wealth and equity considerations in public policy design.
Open Access
Reduction of quantity smoked predicts future cessation among older smokers.
(Addiction, 2004-01) Falba, Tracy; Jofre-Bonet, Mireia; Busch, Susan; Duchovny, Noelia; Sindelar, Jody
AIM: To examine whether smokers who reduce their quantity of cigarettes smoked between two periods are more or less likely to quit subsequently. STUDY DESIGN: Data come from the Health and Retirement Study, a nationally representative survey of older Americans aged 51-61 in 1991 followed every 2 years from 1992 to 1998. The 2064 participants smoking at baseline and the first follow-up comprise the main sample. MEASUREMENTS: Smoking cessation by 1996 is examined as the primary outcome. A secondary outcome is relapse by 1998. Spontaneous changes in smoking quantity between the first two waves make up the key predictor variables. Control variables include gender, age, education, race, marital status, alcohol use, psychiatric problems, acute or chronic health problems and smoking quantity. FINDINGS: Large (over 50%) and even moderate (25-50%) reductions in quantity smoked between 1992 and 1994 predict prospectively increased likelihood of cessation in 1996 compared to no change in quantity (OR 2.96, P<0.001 and OR 1.61, P<0.01, respectively). Additionally, those who reduced and then quit were somewhat less likely to relapse by 1998 than those who did not reduce in the 2 years prior to quitting. CONCLUSIONS: Reducing successfully the quantity of cigarettes smoked appears to have a beneficial effect on future cessation likelihood, even after controlling for initial smoking level and other variables known to impact smoking cessation. These results indicate that the harm reduction strategy of reduced smoking warrants further study.
Open Access
The Cost-Effectiveness of Shared Medical Appointments for Type II Diabetes at Duke Family Medicine
(2017-05-10) Nahouraii, Lauren
With increasing healthcare expenditures above the rate of inflation, new health care delivery models are needed. Since care for chronic health conditions accounts for a majority of spending, more cost-effective ways to manage these conditions are especially necessary and could be the most effective in decreasing health care costs. Shared medical appointments (SMAs) are a promising solution because they increase patient education through group appointments while simultaneously increasing productivity by allowing a provider to see patients in a group but bill for them individually. In this study, 38 patient volunteers participated in an SMA as part of a pilot program at Duke Family Medicine (DFM). As part of this program, patients were randomly assigned to groups that offered varying versions of an SMA curriculum over the course of 3 years. Data collected included HbA1c scores, number and type of medications, type of insurance and payments, number and type of visit (including hospital admissions, emergency room visits, primary care and specialty visits), laboratory tests completed, and home address. Data was collected during, after, and for the six months prior to starting the SMAs. Data points from six months prior to the SMAs serve as a control. HbA1c served as the measure of health outcome while the rest of the data was used in estimating the total healthcare costs of control and treatment periods. Any changes in HbA1c were converted into changes in quality adjusted life years (QALYs) for the cost-effectiveness calculations. The estimated total costs and changes in QALYs were used to calculate the average cost- effectiveness of both the control and treatment periods. Given the small sample size, the SMAs appeared to be more cost-effective for patients that attended a majority of the SMA sessions. The cost-effectiveness comparison for all patients was inconclusive. This study’s calculations should be repeated once more patients complete SMAs in order to increase the power of the tests and provide conclusive results for all patients.
Open Access
The effect of involuntary job loss on smoking intensity and relapse.
(Addiction, 2005-09) Falba, Tracy; Teng, Hsun-Mei; Sindelar, Jody L; Gallo, William T
AIMS: To assess the impact of involuntary job loss due to plant closure or layoff on relapse to smoking and smoking intensity among older workers. DESIGN, PARTICIPANTS, SAMPLE: Data come from the Health and Retirement Study, a nationally representative survey of older Americans aged 51-61 in 1991 followed every 2 years beginning in 1992. The 3052 participants who were working at the initial wave and had any history of smoking comprise the main sample. METHODS: Primary outcomes are smoking relapse at wave 2 (1994) among baseline former smokers, and smoking quantity at wave 2 among baseline current smokers. As reported at the wave 2 follow-up, 6.8% of the sample experienced an involuntary job loss between waves 1 and 2. FINDINGS: Older workers have over two times greater odds of relapse subsequent to involuntary job loss than those who did not. Further, those who were current smokers prior to displacement that did not obtain new employment were found to be smoking more cigarettes, on average, post-job loss. CONCLUSIONS: The stress of job loss, along with other significant changes associated with leaving one's job, which would tend to increase cigarette consumption, must outweigh the financial hardship which would tend to reduce consumption. This highlights job loss as an important health risk factor for older smokers.