The Contribution of Tobacco Use to High Health Care Utilization and Medical Costs in Peripheral Artery Disease: A State-Based Cohort Analysis.

BACKGROUND: Tobacco use is an important preventable cause of peripheral artery disease (PAD) and a major determinant of adverse clinical outcomes. OBJECTIVES: This study hypothesized that tobacco use by PAD patients would be associated with higher health care utilization and associated costs. METHODS: We conducted a retrospective, cross-sectional study using 2011 claims data from the largest Minnesota health plan. The total cohort included individuals with 12 months of continuous enrollment and ≥ 1 PAD-related claim. Tobacco cessation pharmacotherapy billing codes were queried in a subgroup with pharmacy benefits. Outcomes were total costs, annual proportion of members hospitalized, and primary discharge diagnoses. RESULTS: A PAD cohort of 22,203 was identified, comprising 1,995 (9.0%) tobacco users. A subgroup of 9,027 with pharmacy benefits included 1,158 (12.8%) tobacco users. The total cohort experienced 22,220 admissions. The pharmacy benefits subgroup experienced 8,152 admissions. Within 1 year, nearly one-half the PAD tobacco users were hospitalized, 35% higher than nonusers in the total cohort (p < 0.001) and 30% higher in the subgroup (p < 0.001). In both cohorts, users were more frequently admitted for peripheral or visceral atherosclerosis (p < 0.001), acute myocardial infarction (p < 0.001), and coronary heart disease (p < 0.05). Observed costs in the total cohort were $64,041 for tobacco users versus $45,918 for nonusers. Costs for tobacco users also were consistently higher for professional and facility-based care, persisting after adjustment for age, sex, comorbidities, and insurance type. CONCLUSIONS: Tobacco use in PAD is associated with substantial increases in PAD-related hospitalizations, coronary heart disease and PAD procedures, and significantly greater costs. The results suggest that immediate provision of tobacco cessation programs may be especially cost effective.

The prevalence of unrecognized tobacco use among young adults.

OBJECTIVE: To evaluate the prevalence of smoking among young adults and to describe their characteristics. METHODS: Data were examined from the Minnesota Adult Tobacco Survey, a telephone survey of 8821 residents with a sample of 1205 young adults. RESULTS: Prevalence was 39% using the adolescent definition and 32% using the adult definition. Nearly 1 in 5 young adult smokers may be considered a "previously unrecognized smoker" who would not have been identified as a cigarette user according to the standard adult definition. CONCLUSIONS: Future studies assessing prevalence should use both adolescent and adult measures.

Did youth smoking behaviors change before and after the shutdown of Minnesota Youth Tobacco Prevention Initiative?

INTRODUCTION: No previous studies document the effects of both comprehensive tobacco control and its defunding on youth smoking. This study tests the effect of the youth-focused Minnesota Youth Tobacco Prevention Initiative (MYTPI) and its shutdown on youth smoking and determines whether these effects differed by age. METHODS: The Minnesota Adolescent Community Cohort is a population-based, observational study designed to evaluate the MYTPI. The sample included cohorts of youth aged 12-16 years at baseline in Minnesota (N = 3,636) and a comparison group in six other Midwestern states (n = 605). Biannual surveys assessed youth smoking from October 2000, 5 months after the MYTPI launch, through October 2005, 2 years postshutdown. Adjusted piecewise linear trajectories predicted smoking stage (measured on a 1-6 continuum) comparing Minnesota with a comparison group during the MYTPI (Slope 1) and postshutdown (Slope 2) for each baseline age cohort. Analysis then compared baseline age cohorts with each other by centering their intercepts on age 16. RESULTS: Neither slope of smoking stage differed between Minnesota and comparison groups, showing no period effects for the MYTPI or shutdown. However, younger cohorts, with early teen experience of MYTPI, smoked less than older cohorts by the same age. Mean smoking stage at age 16 differed by almost a half stage from the youngest (2.04) to the oldest (2.46) age cohort. DISCUSSION: The study offers no evidence of period effects for the MYTPI or its shutdown. Design limitations, national or continued post-MYTPI statewide tobacco control efforts, or program flaws could explain the findings.

Modifiable health behaviors and short-term medical costs among health plan members.

PURPOSE: Describe the relationship among modifiable health behaviors and short-term medical costs. DESIGN: Prospective study linking cross-sectional survey data that assessed modifiable risk behaviors with insurance claims. SETTING: A large health plan in Minnesota. SUBJECTS: A stratified, random sample of 10,000 yielded an analytic data set for 7983 members. MEASURES: The dependent variable was per-member-per-month insurance payment plus subscriber liability. Eighteen months of medical costs were analyzed. Control variables included subscriber age, sex, type of insurance plan, days of enrollment, chronic disease status, education, and marital status. Independent variables, included self-reported health behaviors of smoking, heavy drinking, nutrition, and physical activity. ANALYSIS: Linear regression was performed on the natural log of the cost variable, followed by a retransformation to dollars. RESULTS: Physical inactivity and smoking were significant predictors of higher medical costs. Each day a member did not exercise there was a 2.9% difference in cost. Compared with never smokers, current smokers had 16% higher costs. Former smokers who had quit more than 1 year before taking the survey had 15% higher costs than never smokers. Recent former smokers cost 32% more than never smokers and more frequently experienced smoking-related medical conditions before they quit. Alcohol consumption was nonsignificant. Nutrition also was not significant but was narrowly measured by only fruit and vegetable consumption. CONCLUSION: Physical inactivity and smoking were associated with higher short-term medical costs among health plan members.

The economic impact of exposure to secondhand smoke in Minnesota.

OBJECTIVES: Using the risk categories established by the 2006 US surgeon general's report, we estimated medical treatment costs related to exposure to secondhand tobacco smoke (SHS) in the state of Minnesota. METHODS: We estimated the prevalence and costs of treated medical conditions related to SHS exposure in 2003 with data from Blue Cross and Blue Shield (Minnesota's largest insurer), the Current Population Survey, and population attributable risk estimates for these conditions reported in the scientific literature. We adjusted treatment costs to the state level by health insurance category by using the Medical Expenditure Panel Survey. RESULTS: The total annual cost of treatment in Minnesota for conditions for which the 2006 surgeon general's report found sufficient evidence to conclude a causal link with exposure to SHS was $228.7 million in 2008 dollars-equivalent to $44.58 per Minnesota resident. Sensitivity analyses showed a range from $152.1 million to $330.0 million. CONCLUSIONS: The results present a strong rationale for regulating smoking in public places and were used to support the passage of Minnesota's Freedom to Breathe Act of 2007.

A randomized trial of a pay-for-performance program targeting clinician referral to a state tobacco quitline.

BACKGROUND: Tobacco quitlines offer clinicians a means to connect their patients with evidence-based treatments. Innovative methods are needed to increase clinician referral. METHODS: This is a clinic randomized trial that compared usual care (n = 25 clinics) vs a pay-for-performance program (intervention) offering $5000 for 50 quitline referrals (n = 24 clinics). Pay-for-performance clinics also received monthly updates on their referral numbers. Patients were eligible for referral if they visited a participating clinic, were 18 years or older, currently smoked cigarettes, and intended to quit within the next 30 days. The primary outcome was the clinic's rate of quitline referral (ie, number of referrals vs number of smokers seen in clinic). RESULTS: Pay-for-performance clinics referred 11.4% of smokers (95% confidence interval [CI], 8.0%-14.9%; total referrals, 1483) compared with 4.2% (95% CI, 1.5%-6.9%; total referrals, 441) for usual care clinics (P = .001). Rates of referral were similar in intervention vs usual care clinics (n = 9) with a history of being very engaged with quality improvement activities (14.1% vs 15.1%, respectively; P = .85). Rates were substantially higher in intervention vs usual care clinics with a history of being engaged (n = 22 clinics; 10.1% vs 3.0%; P = .001) or less engaged (n = 18 clinics; 10.1% vs 1.1%; P = .02) with quality improvement. The rate of patient contact after referral was 60.2% (95% CI, 49.7%-70.7%). Among those contacted, 49.4% (95% CI, 42.8%-55.9%) enrolled, representing 27.0% (95% CI, 21.3%-32.8%) of all referrals. The marginal cost per additional quitline enrollee was $300. CONCLUSION: A pay-for-performance program increases referral to tobacco quitline services, particularly among clinics with a history of less engagement in quality improvement activities.

The impact of smoking-cessation intervention by multiple health professionals.

BACKGROUND: Smokers have contact with many different types of health professionals. The impact of tobacco intervention by multiple types of heath professionals is not known. METHODS AND MATERIALS: As part of the 2003 Minnesota Adult Tobacco Survey, smokers (n=1723) reported on tobacco treatment by medical doctors, nurses, dentists, pharmacists, or other health professionals. This analysis examined: (1) smokers' report of tobacco intervention by different types of healthcare providers, (2) the proportion of smokers who report intervention by multiple provider types, and (3) the relationship between smokers' report of intervention by multiple provider types and readiness to quit, quit attempts, and recent quitting. RESULTS: Among past-year smokers, 65% had visits with two or more types of health professionals. Among smokers who visited health professionals (n=1523), only 34% reported being asked about smoking by two or more types of professionals. Among current smokers (n=1324), advice or assistance from more than one type of professional was uncommon (26% and 7%, respectively). Being asked about smoking by two or more types of professionals substantially increased the odds of recent quitting (OR=2.37; 95% CI=1.15-4.88). Among current smokers, being advised to quit by two or more types of professionals increased the odds of having made a quit attempt in the past year (OR=2.92; 95% CI=1.56-5.45) or intending to quit in the next 6 months (OR=2.17; 95% CI=1.10-4.29). CONCLUSIONS: Smoking-cessation interventions by more than one type of health professional have the potential to substantially increase quitting and readiness to quit in the population.

The relationship of stage of change for smoking cessation to stage of change for fruit and vegetable consumption and physical activity in a health plan population.

PURPOSE: The purpose of this study was to examine the relationship between stage of change for smoking cessation and stage of change for (1) fruit and vegetable consumption and (2) physical activity. DESIGN: The data come from a cross-sectional telephone survey administered to a stratified random sample of health plan members (n = 9675). SETTING: This study was conducted at a mixed-model health plan with approximately 1 million adult members. SUBJECTS: Respondents were adults age 18 and older, who were randomly selected from five health plan product groups: commercial fully insured, commercial self-insured, two publicly subsidized plans, and Medicare supplemental insurance. Response rates ranged from 74.7% to 90.1% across these groups. MEASURES: The assessment included demographics and stage of change for smoking cessation, physical activity, and fruit and vegetable intake. Bivariate relationships among variables were analyzed with the use of contingency tables. Ordered logistic regression was used to examine the effects of stage of change for fruit and vegetable consumption and physical activity on stage of change for smoking while controlling for other factors. RESULTS: Stage of change for smoking is more clearly related to stage of change for fruit and vegetable consumption (chi2 = 161.3, p < .001; Cramer's V = .11, p < .001) than to stage of change for physical activity (chi2 = 89. 7, p < .001; Cramer's V = .08, p < .001). However, stage of change for fruit and vegetable consumption and physical activity are not strong predictors of stage of change for smoking. CONCLUSIONS: This study indicates that stage of change for both fruit and vegetable consumption and physical activity are independent constructs from stage of change for smoking cessation.

Does a health plan effort to increase smokers' awareness of cessation medication coverage increase utilization and cessation?

PURPOSE: To test whether a mailing describing new coverage for smoking cessation medications increases benefit knowledge, utilization, and quitting. METHODS: This randomized controlled trial assigned participants to benefit communication via (1) standard contract changes or (2) enhanced communication with direct-to-member postcards. A sample of 1930 self-identified smokers from two Minnesota health plans took surveys before and 1 year after the benefit's introduction. The follow-up response rate was 80%. A multilevel logistic estimator tested for differences in benefit knowledge and smoking behavior from baseline. RESULTS: More enhanced than standard communication respondents knew about the benefit (39.0% vs. 22.2%, p < .0001) at follow-up. Groups did not differ on bupropion utilization (24.6% vs. 23.1%, p = .92); nicotine replacement therapy utilization (26.9% vs. 25.9%, p = .26), or cessation (12.8% vs. 15.6%, p = .32). CONCLUSION: Although limited by the low intervention intensity and potential social desirability bias, information about new coverage alone does not appear to increase quitting behaviors.

Smoking visibility, perceived acceptability, and frequency in various locations among youth and adults.

OBJECTIVES: This study tests whether there is an association between high visibility of smoking, perceived acceptability of smoking, and where youth smoke. METHODS: Surveys of 9,762 students in grades 8-10 and 1,586 parents in 15 Minnesota communities asked about the frequency of and opinions of adult and youth smoking in various indoor and outdoor public places. Chi-square analysis and ANOVAs compared smokers and nonsmokers. RESULTS: More smoking than nonsmoking youth reported often seeing adults and teens smoking in all locations. Forty-two percent of students often noticed adults and 35% often noticed teens smoking outdoors, also the most frequent location where teens report smoking. Students perceived adult and teen smoking as more acceptable in restaurants, recreation centers, and outdoor gathering places. More student smokers than nonsmokers believe that smoking is acceptable for both adults and teens. Of the parent sample, 52% often observed adults and 36% often observed youth smoking outdoors. Nonsmoking parents observed adult and teen smoking more often than parents who smoke. CONCLUSIONS: The data support an association between the frequency that youth observe smoking in various locations and the perception that smoking is socially acceptable by smoking status. Policies that restrict smoking in various locations will reduce both visibility and perceived acceptability of smoking in those locations.

Does insurance coverage for drug therapy affect smoking cessation?

Whether insurance coverage for smoking-cessation medicines increases quitting rates is uncertain. In this paper we evaluate the overall effect of a new health plan pharmacy benefit on the use of pharmacotherapy, attempts to quit, and quitting rates. The presence of a smoking-cessation pharmacy benefit as implemented by these health plans produced no change in the use of bupropion, nicotine patches, or nicotine gum, nor did it result in higher rates of quitting smoking. Further studies are needed to test whether greater efforts to make smokers aware of insurance benefits or adding other types of cessation support might lead to any beneficial effects.

Physician smoking-cessation actions: are they dependent on insurance coverage or on patients?

BACKGROUND: Despite good evidence that their smoking-cessation actions can be very effective, physicians have not consistently used the 5A actions (being asked, advised, assessed, assisted, and arranged) recommended in the U.S. Public Health Service tobacco guidelines. We tested the hypothesis that the introduction of coverage for smoking-cessation pharmacotherapy by the health plans covering most of the population in one region would increase physician use of 5A's. METHODS: A cohort of smoking members of two health plans was surveyed before and after the introduction of coverage for smoking cessation. A total of 1560 current smokers with a physician visit in the last year responded to both surveys. The key outcome measures were smoker reports of the guideline 5As for smoking-cessation support during the last physician visit. RESULTS: There were small significant absolute percentage increases only for reports of being assessed (+4.9%, p=0.01) and assisted (set quit date +6.5%, p=0.0004); encouraged to use medications (+8.8%, p=0.03); and given a prescription (+8.6%, p=0.0005). However, these increases were limited to smokers reporting awareness of the coverage, asking for quitting help, or both. CONCLUSION: Coverage for pharmacotherapy alone appears to have had no effect on physician behavior beyond that stimulated by smokers who were aware of the coverage, perhaps because they raised the issue. More research is needed on this suggestion that patients create physician behavior change.