Multimorbidity and Complexity Among Patients with Cancer in Ontario: A Retrospective Cohort Study Exploring the Clustering of 17 Chronic Conditions with Cancer.

BACKGROUND: Multimorbidity is a concern for people living with cancer, as over 90% have at least one other condition. Multimorbidity complicates care coming from multiple providers who work within separate, siloed systems. Information describing high-risk and high-cost disease combinations has potential to improve the experience, outcome, and overall cost of care by informing comprehensive care management frameworks. This study aimed to identify disease combinations among people with cancer and other conditions, and to assess the health burden associated with those combinations to help healthcare providers more effectively prioritize and coordinate care. METHODS: We used a population-based retrospective cohort design including adults with a cancer diagnosis between March-2003 and April-2013, followed-up until March 2018. We used observed disease combinations defined by level of multimorbidity and partitive (k-means) clusters, ie groupings of similar diseases based on the prevalence of each condition. We assessed disease combination-associated health burden through health service utilization, including emergency department visits, primary care visits and hospital admissions during the follow-up period. RESULTS: 549,248 adults were included in the study. Anxiety, diabetes mellitus, hypertension, and osteoarthritis co-occurred with cancer 1.1 to 5.3 times more often than expected by chance. Disease combinations varied by cancer type and age but were similar between sexes. The largest partitive cluster included cancer and anxiety, with at least 25% of individuals also having osteoarthritis. Cancer also tended to co-occur with hypertension (8.0%) or osteoarthritis (6.2%). There were differences between clusters in healthcare utilization, regardless of the number of disease combinations or clustering approach used. CONCLUSION: Researchers, clinicians, policymakers, and other stakeholders can use the clustering information presented here to improve the healthcare system for people with cancer multimorbidity by developing cluster-specific care management and clinical guidelines for common disease combinations.

Prevalence of multimorbidity in adults with cancer, and associated health service utilization in Ontario, Canada: a population-based retrospective cohort study.

BACKGROUND: The majority of people with cancer have at least one other chronic health condition. With each additional chronic disease, the complexity of their care increases, as does the potential for negative outcomes including premature death. In this paper, we describe cancer patients' clinical complexity (i.e., multimorbidity; MMB) in order to inform strategic efforts to improve care and outcomes for people with cancer of all types and commonly occurring chronic diseases. METHODS: We conducted a population-based, retrospective cohort study of adults diagnosed with cancer between 2003 and 2013 (N = 601,331) identified in Ontario, Canada healthcare administrative data. During a five to 15-year follow-up period (through March 2018), we identified up to 16 co-occurring conditions and patient outcomes for the cohort, including health service utilization and death. RESULTS: MMB was extremely common, affecting more than 91% of people with cancer. Nearly one quarter (23%) of the population had five or more co-occurring conditions. While we saw no differences in MMB between sexes, MMB prevalence and level increased with age. MMB prevalence and type of co-occurring conditions also varied by cancer type. Overall, MMB was associated with higher rates of health service utilization and mortality, regardless of other patient characteristics, and specific conditions differentially impacted these rates. CONCLUSIONS: People with cancer are likely to have at least one other chronic medical condition and the presence of MMB negatively affects health service utilization and risk of premature death. These findings can help motivate and inform health system advances to improve care quality and outcomes for people with cancer and MMB.

Ontario's response to COVID-19 shows that mental health providers must be integrated into provincial public health insurance systems.

The fear, grief, social isolation, and financial and occupational losses from COVID-19 have created a mental health crisis. Ontario's response highlights the shortcomings of its physician-only public healthcare system that limits public access to appropriate and sustainable mental healthcare. Specifically, Ontario's attempt to rapidly expand mental healthcare access in response to COVID-19 includes new Ontario Health Insurance Program (OHIP) billing codes that enable physicians to provide telephonic trauma counselling and patient self-serve online tools while psychologist and other registered mental health provider services have been largely left out of the provincial response. Why? Non-physician mental health providers operate outside of the provincial healthcare infrastructure, including the provincial payer (i.e., OHIP) that facilitated the provincial physician response. A physician-centric mental healthcare system limits public access to quality, sustainable, evidence-based mental health services because most physicians do not have the capacity, training, or desire to provide mental health services. To improve public access to needed mental health services, provinces should integrate psychologists and other registered mental health providers directly into their public health insurance systems. Integrated providers can be strategically and sustainably mobilized to respond to COVID-19 and future mental health crises.

Do graphic health warning labels on cigarette packages deter purchases at point-of-sale? An experiment with adult smokers.

This experiment tested whether the presence of graphic health warning labels on cigarette packages deterred adult smokers from purchasing cigarettes at retail point-of-sale (POS), and whether individual difference variables moderated this relationship. The study was conducted in the RAND StoreLab (RSL), a life-sized replica of a convenience store that was developed to evaluate how changing POS tobacco advertising influences tobacco use outcomes during simulated shopping experiences. Adult smokers (n = 294; 65% female; 59% African-American; 35% White) were assigned randomly to shop in the RSL under one of two experimental conditions: graphic health warning labels present on cigarette packages versus absent on cigarette packages. Cigarette packages in both conditions were displayed on a tobacco power wall, which was located behind the RSL cashier counter. Results revealed that the presence of graphic health warning labels did not influence participants' purchase of cigarettes as a main effect. However, nicotine dependence acted as a significant moderator of experimental condition. Graphic health warning labels reduced the chances of cigarette purchases for smokers lower in nicotine dependence but had no effect on smokers higher in dependence.

One size fits all? Disentangling the effects of tobacco taxes, laws, and control spending on adult subgroups in the United States.

Background: To determine the relative impact of each of the 3 state-level tobacco control policies (cigarette taxation, tobacco control spending, and smoke-free air [SFA] laws) on adult smoking rate overall and separately for adult subgroups in the United States. Methods: A difference-in-differences analysis was conducted with generalized propensity scores. State-level policies were merged with the individual-level Behavioral Risk Factor Surveillance System in 1995-2009. Results: State cigarette taxation was the only policy that significantly impacted smoking among the general adult population, with a 1-standard deviation increase in taxes (i.e., $0.68 in constant 2014 dollars) lowering the adult smoking rate by about a quarter of a percentage point. The taxation impact was consistent, regardless of the presence of, or interactions with, other policies. Taxation was also the only policy that significantly reduced smoking for some adult subgroups, including females, non-Hispanic whites, adults aged 51 or older, and adults with more than a high school education. However, other adult subgroups responded to the other 2 types of policies, either by mediating the taxation effect or by reducing smoking independently. Specifically, tobacco control spending reduced smoking among young adults (ages 18-25 years) and Hispanics. SFA laws affected smoking among men, young adults, non-Hispanic blacks, and Hispanics. Conclusions: State cigarette taxation is the single most important policy for reducing smoking among the general adult population. However, adult subgroups' reactions to taxes are diverse and mediated by tobacco control spending and SFA laws.

Perceptions of e-cigarettes: a comparison of adult smokers and non-smokers in a Mechanical Turk sample.

BACKGROUND: Given plans to extend its regulatory authority to e-cigarettes, the Food and Drug Administration (FDA) urgently needs to understand how e-cigarettes are perceived by the public. OBJECTIVES: To examine how smoking status impacts adult perceptions and expectations of e-cigarettes. METHODS: We used Mechanical Turk (MTurk), a "crowdsourcing" platform, to rapidly survey a large (n = 796; female = 381; male = 415), diverse sample of adult ever (44%) and never smokers (56%), including ever (28%) and never (72%) users of e-cigarettes. RESULTS: Smokers and non-smokers learned about e-cigarettes primarily through the internet and conversations with others. Ever smokers were more likely than never smokers, and female current smokers were more likely than female former smokers, to have learned about e-cigarettes from point of sale advertising (p's < 0.05) and to believe that e-cigarettes help smokers quit (ps < 0.05). Among never users of e-cigarettes, current smokers were more likely than never smokers and former smokers to report that they would try e-cigarettes in the future (ps < 0.01). Current smokers' top reason for wanting to try e-cigarettes was to quit or reduce smoking (56%), while never and former smokers listed curiosity. In contrast, female current smokers' top reason for not trying e-cigarettes was health and safety concerns (44%) while males were deterred by expense (44%). CONCLUSIONS: Adult smokers and non-smokers have different perceptions and expectations of e-cigarettes. Public health messages regarding e-cigarettes may need to be tailored separately for persons with and without a history of using conventional cigarettes. Tailoring messages by gender within smoker groups may also improve their impact.

General Medical Outcomes From the Primary and Behavioral Health Care Integration Grant Program.

OBJECTIVE: Primary and Behavioral Health Care Integration (PBHCI) grants aim to improve the health of people with serious mental illness by integrating primary and preventive general medical services into behavioral health settings. This report describes the general medical outcomes of persons served by early cohorts of programs, funded in 2009 or 2010, that participated in this national demonstration project. METHODS: A quasi-experimental, difference-in-differences design was used to compare changes in general medical health among consumers served at three PBHCI clinics (N=322) and three clinics that were selected as matched control sites (N=469). Propensity-score weighting was used to adjust for baseline differences between PBHCI and control clinic populations. Baseline data were collected between 2010 and 2012; follow-up data were collected approximately one year later. General medical outcomes included blood pressure; body mass index; cholesterol, triglyceride, and blood glucose or HbA1c levels; and self-reported tobacco smoking. RESULTS: Compared with consumers served at control clinics, PBHCI consumers had better outcomes for cholesterol: mean reductions in total cholesterol were greater by 36 mg/dL (p<.01), mean reductions in low-density lipoprotein cholesterol were greater by 35 mg/dL (p<.001), and mean increases in high-density lipoprotein cholesterol were greater by 3 mg/dL (p<.05). No significant PBHCI effects were observed for the other health indicators. CONCLUSIONS: Approximately one year of PBHCI treatment resulted in statistically and potentially clinically significant improvements in cholesterol but not in other general medical outcomes examined. More rigorous implementation of integrated care in community behavioral health settings may be needed to further improve the health of adults with serious mental illness.

Hiding the tobacco power wall reduces cigarette smoking risk in adolescents: using an experimental convenience store to assess tobacco regulatory options at retail point-of-sale.

OBJECTIVES: This experiment tested whether changing the location or visibility of the tobacco power wall in a life sized replica of a convenience store had any effect on adolescents' susceptibility to future cigarette smoking. METHODS: The study was conducted in the RAND StoreLab (RSL), a life sized replica of a convenience store that was developed to experimentally evaluate how changing aspects of tobacco advertising displays in retail point-of-sale environments influences tobacco use risk and behaviour. A randomised, between-subjects experimental design with three conditions that varied the location or visibility of the tobacco power wall within the RSL was used. The conditions were: cashier (the tobacco power wall was located in its typical position behind the cash register counter); sidewall (the tobacco power wall was located on a sidewall away from the cash register); or hidden (the tobacco power wall was located behind the cashier but was hidden behind an opaque wall). The sample included 241 adolescents. RESULTS: Hiding the tobacco power wall significantly reduced adolescents' susceptibility to future cigarette smoking compared to leaving it exposed (ie, the cashier condition; p=0.02). Locating the tobacco power wall on a sidewall away from the cashier had no effect on future cigarette smoking susceptibility compared to the cashier condition (p=0.80). CONCLUSIONS: Hiding the tobacco power wall at retail point-of-sale locations is a strong regulatory option for reducing the impact of the retail environment on cigarette smoking risk in adolescents.

Focusing on the five A's: a comparison of homeless and housed patients' access to and use of pharmacist-provided smoking cessation treatment.

INTRODUCTION: The prevalence of smoking remains high among the medically underserved and could be related to disparities in access to and use of smoking cessation treatments. METHODS: This study implemented and tracked providers' use of the 5 A's intervention for tobacco use (Ask, Assess, Advise, Assist, Arrange) with homeless (n = 260) and housed (n = 226) adults attending a free medical clinic, including referrals to and use of an on-site pharmacist-led smoking cessation service. RESULTS: Among patients whose tobacco use was Asked about and Assessed (97%), homeless (vs. housed) patients were more likely to smoke (59% vs. 39%; P = 0.008). Among current smokers, there were no homeless-housed disparities in receipt of Advice to quit smoking (84% vs. 78%; P = 0.22) or Arrangement of treatment (36% vs. 31%; P = 0.46). Overall, among patients for whom treatment was Arranged, homeless patients were less likely than housed patients to attend the smoking cessation program (25% vs. 48%; P = 0.04). However, among those that attended any treatment (i.e., were Assisted to quit), homeless and housed patients attended similar numbers of sessions and used pharmacotherapy at similar rates. CONCLUSIONS: Providers may reduce homeless-housed disparities in smoking by offering special Assist(ance) to homeless smokers that reduces barriers to initially accessing treatment services.

Quantifying the persistence of pro-smoking media effects on college students' smoking risk.

PURPOSE: To quantify the persistence of pro-smoking media exposure effects on college students' intentions to smoke and smoking refusal self-efficacy. METHOD: A total of 134 college students (ages 18-24 years) were enrolled in an ecological momentary assessment study in which they carried handheld data collection devices for 3 weeks and reported their exposures to pro-smoking media as they occurred in the real world. Smoking intentions and smoking refusal self-efficacy were assessed after each exposure to pro-smoking media and at random prompts during each day of the 3-week assessment period. A generalized additive model was used to determine how long the effect of an exposure to pro-smoking media persisted. RESULTS: The effect of pro-smoking media exposures persisted for 7 days. After exposure, smoking intentions immediately increased (.56; 95% confidence interval [CI]: [.26, .87]) and then steadily decreased (-.12; 95% CI: [-.19, -.05]) each day for 7 days, while smoking refusal self-efficacy immediately decreased (-.42; 95% CI: [-.75, -.10]) and then steadily increased (.09; 95% CI: [.02, .16]) each day for 7 days. Daily changes occurring after 7 days were not statistically significant, suggesting that smoking intentions and refusal self-efficacy had stabilized and were no longer affected by pro-smoking media exposure. CONCLUSIONS: Exposures to pro-smoking media may have strong implications for emerging young adults smoking risk as the impact of an individual exposure appears to persist for at least a week.

Evaluation of the SAMHSA Primary and Behavioral Health Care Integration (PBHCI) Grant Program: Final Report.

Excess morbidity and mortality in persons with serious mental illness is a public health crisis. Numerous factors contribute to this health disparity, including illness and treatment-related factors, socioeconomic and lifestyle-related factors, and limited access to and poor quality of general medical care. Primary and Behavioral Health Care Integration (PBHCI), one of the Substance Abuse and Mental Health Services Administration's service grant programs, is intended to improve the overall wellness and physical health status of people with serious mental illness, including individuals with co-occurring substance use disorders, by making available an array of coordinated primary care services in community mental health and other community-based behavioral health settings where the population already receives care. This article describes the results of a RAND Corporation evaluation of the PBHCI grants program. The evaluation was designed to understand PBHCI implementation strategies and processes, whether the program leads to improvements in outcomes, and which program models and/or model features lead to better program processes and consumer outcomes. Results of the evaluation showed that PBHCI grantee programs were diverse, varying in their structures, procedures, and the extent to which primary and behavioral health care was integrated at the program level. Overall, PBHCI programs also served many consumers with high rates of physical health care needs, although total program enrollment was lower than expected. The results of a small, comparative effectiveness study showed that consumers served at PBHCI clinics (compared to those served at matched control clinics) showed improvements on some (e.g., markers of dyslipidemia, hypertension, diabetes) but not all of the physical health indicators studied (e.g., smoking, weight). Finally, we found that program features, such as clinic hours, regular staff meetings, and the degree of service integration, increased consumer access to integrated care, but that access to integrated care was not directly associated with improvements in physical health. Implications of the study results for programs and the broader field, plus options for future PBHCI-related research are discussed.

Middle and high school students' exposure to alcohol- and smoking-related media: a pilot study using ecological momentary assessment.

The goals of this study were to assess the feasibility of using Ecological Momentary Assessment (EMA) to measure adolescents' exposure to alcohol and smoking-related media. A sample of 20 middle and high school students completed a 2-week EMA protocol in which they monitored exposures to alcohol and smoking-related media. Results showed that adolescents were highly compliant with the study protocol. A total of 255 exposures to alcohol (67%) and smoking (33%) were captured, representing an average of 8.50 (SD = 5.82) alcohol-related media exposures and 4.25 (SD = 3.67) smoking-related media exposures per participant, during the study period. Exposures tended to occur in the afternoon (52% alcohol; 54% smoking), at point of sale (44% alcohol; 65% smoking), and on days leading up to the weekend (57% alcohol; 57% smoking). Exposures were also likely in the presence of family (69% alcohol; 56% smoking). Overall, results of this small pilot provide preliminary evidence that EMA is a useful tool for tracking and characterizing middle and high school students' real-world exposures to alcohol- and smoking-related media. Future studies may suggest mechanisms by which media exposures lead to youth uptake of drinking and smoking behaviors.

Exposure to pro-smoking media in college students: does type of media channel differentially contribute to smoking risk?

BACKGROUND: There are almost no data on whether the different channels through which pro-smoking media appear (i.e., point-of-sale advertising, movie smoking) differently influence smoking. PURPOSE: This study used ecological momentary assessment to examine whether differences in smoking risk were observed for exposures to different pro-smoking media channels. METHODS: College students (n = 134) carried smartphones for 21 days, recording their exposures to pro-smoking media and the media channels for that exposure and responding to three randomly issued control prompts per day. Participants answered questions about their future smoking risk after each pro-smoking media exposure and random prompt. RESULTS: Participants had elevated future smoking risk following exposure to pro-smoking media at point of sale (p < 0.001); smoking risk at times of exposure to smoking in movies did not differ from risk measured during control prompts (p = 0.78). CONCLUSIONS: There is merit to examining the relative contribution of different pro-smoking media channels to smoking behavior.

Friends moderate the effects of pro-smoking media on college students' intentions to smoke.

Exposure to prosmoking media (e.g., smoking in movies, advertising in magazines) contributes to smoking in young people. However, the extent to which the impact of exposure depends on the social context in which those exposures occur has not been investigated. This study used ecological momentary assessment to examine the moderating role of social context in the relationship between college students' exposure to prosmoking media and their smoking refusal self-efficacy and intention to smoke. College students (n = 134) carried handheld computers for 21 days, recording their exposure to all forms of prosmoking media during the assessment period. They also responded to three investigator-initiated control prompts (programmed to occur randomly) each day of the assessment. After each exposure to prosmoking media and after each control prompt, participants answered questions about smoking refusal self-efficacy and their intentions to smoke; they also indicated whether they were with friends, with family, with a romantic partner, or alone (i.e., their social context). When participants were with friends, prosmoking media exposures were associated with stronger smoking intentions and lower smoking refusal self-efficacy; these associations were not present when participants were alone. Being with family members or with a romantic partner did not moderate the impact of prosmoking media exposure on either dependent variable. These results suggest a new role for peers in the development of youth smoking.

Momentary effects of exposure to prosmoking media on college students' future smoking risk.

OBJECTIVE: This study used ecological momentary assessment to examine acute changes in college students' future smoking risk as a function of their exposure to prosmoking media (e.g., smoking in movies, paid advertising, point-of-sale displays). METHOD: A sample of 135 college students ("ever" and "never" smokers) carried handheld computers for 21 days, recording their exposures to all forms of prosmoking media during the assessment period. They also responded to three investigator-initiated control prompts during each day of the assessment period (i.e., programmed to occur randomly). After each prosmoking media exposure and after each random control prompt they answered questions that measured their risk of future smoking. Responses between prosmoking media encounters were compared (within subjects) to responses made during random control prompts. RESULTS: Compliance with the study protocol was high, with participants responding to over 83% of all random prompts. Participants recorded nearly three encounters with prosmoking media each week. Results of linear mixed modeling indicated that all participants had higher future smoking risk following exposure to prosmoking media compared with control prompts (p < .05); this pattern of response did not differ between ever and never smokers (p = .769). Additional modeling of the variances around participants' risk of future smoking revealed that the response of never smokers to prosmoking media was significantly more variable than the response of ever smokers. CONCLUSION: Exposure to prosmoking media is associated with acute changes in future smoking risk, and never smokers and ever smokers respond differently to these exposures.

Motives for smoking in movies affect future smoking risk in middle school students: an experimental investigation.

BACKGROUND: Exposure to smoking in movies has been linked to adolescent smoking uptake. However, beyond linking amount of exposure to smoking in movies with adolescent smoking, whether the way that smoking is portrayed in movies matters for influencing adolescent smoking has not been investigated. This study experimentally examined how motivation for smoking depicted in movies affects self-reported future smoking risk (a composite measure with items that assess smoking refusal self-efficacy and smoking intentions) among early adolescents. METHODS: A randomized laboratory experiment was used. Adolescents were exposed to movie scenes depicting one of three movie smoking motives: social smoking motive (characters smoked to facilitate social interaction); relaxation smoking motive (characters smoked to relax); or no smoking motive (characters smoked with no apparent motive, i.e., in neutral contexts and/or with neutral affect). Responses to these movie scenes were contrasted (within subjects) to participants' responses to control movie scenes in which no smoking was present; these control scenes matched to the smoking scenes with the same characters in similar situations but where no smoking was present. A total of 358 adolescents, aged 11-14 years, participated. RESULTS: Compared with participants exposed to movie scenes depicting characters smoking with no clear motive, adolescents exposed to movie scenes depicting characters smoking for social motives and adolescents exposed to movie scenes depicting characters smoking for relaxation motives had significantly greater chances of having increases in their future smoking risk. CONCLUSIONS: Exposure to movies that portray smoking motives places adolescents at particular risk for future smoking.

Measuring exposure to protobacco marketing and media: a field study using ecological momentary assessment.

INTRODUCTION: The aims of this study were to validate ecological momentary assessment (EMA) as a method for measuring exposure to tobacco-related marketing and media and to use this method to provide detailed descriptive data on college students' exposure to protobacco marketing and media. METHODS: College students (n = 134; ages 18-24 years) recorded their exposures to protobacco marketing and media on handheld devices for 21 consecutive days. Participants also recalled exposures to various types of protobacco marketing and media at the end of the study period. RESULTS: Retrospectively recalled and EMA-based estimates of protobacco marketing exposure captured different information. The correlation between retrospectively recalled and EMA-logged exposures to tobacco marketing and media was moderate (r = .37, p < .001), and EMA-logged exposures were marginally associated with the intention to smoke at the end of the study, whereas retrospective recall of exposure was not. EMA data showed that college students were exposed to protobacco marketing through multiple channels in a relatively short period: Exposures (M = 8.24, SD = 7.85) occurred primarily in the afternoon (42%), on weekends (35%), and at point-of-purchase locations (68%) or in movies/TV (20%), and exposures to Marlboro, Newport, and Camel represented 56% of all exposures combined and 70% of branded exposures. CONCLUSIONS: Findings support the validity of EMA as a method for capturing detailed information about youth exposure to protobacco marketing and media that are not captured through other existing methods. Such data have the potential to highlight areas for policy change and prevention in order to reduce the impact of tobacco marketing on youth.

The effects of Arkansas master settlement spending on disparities in smoking.

OBJECTIVES: We assessed the effect of Master Settlement Agreement (MSA) spending on smoking disparities in Arkansas, which distinguished itself from other states by investing all of its MSA funds in health-related programs. METHODS: In 1996-2009 data from the Behavioral Risk Factor Surveillance System, we specified multivariate logistic models to examine gender and racial/ethnic disparities in smoking rates within Arkansas (a pre-post analysis) and between Arkansas and its 6 neighboring states. RESULTS: Before the MSA programs started in 2001, male Arkansans smoked more than did female Arkansans (P < .05). After the programs, smoking declined significantly among men (but not women), eliminating the gender disparity by 2009. Smoking among men in Arkansas also declined more than it did in neighboring states (P < .05). Hispanics showed a greater decline in smoking than did non-Hispanic Whites in Arkansas (but not in neighboring states). In 2001, Hispanic Arkansans smoked more than did non-Hispanic Whites (P < .05); by 2009, Hispanic Arkansans smoked significantly less than did non-Hispanic Whites (P < .05). CONCLUSIONS: MSA-funded programs were more effective in some segments of the Arkansas population than in others. Policymakers should consider targeting future MSA tobacco control programs to populations most resistant to change.

Lapse-induced surges in craving influence relapse in adult smokers: an experimental investigation.

OBJECTIVES: Nearly all smokers who lapse experience a full-blown relapse, but the mediating mechanisms that contribute to this relationship are not well understood. A better understanding of these mechanisms would help to advance more effective relapse prevention treatments for smokers. The purpose of this study is to experimentally evaluate the effects of a programmed smoking lapse on smoking relapse and the effects of postlapse changes in craving on relapse. METHOD: Adult smokers (n = 63) who quit smoking with a brief cognitive-behavioral intervention and self-help materials were randomly assigned to one of two experimental conditions after 48 h of abstinence: No lapse (a no-smoking control/30-min waiting period) or lapse (smoking two cigarettes of their favored brand during a 30-min period). All participants were then followed daily for 14 days. Craving and biochemically verified self-reported abstinence were assessed on each follow-up day. Time (days) to relapse (7 consecutive days of smoking) was the main dependent measure. RESULTS: Results of Cox regression analysis revealed that participants in the lapse condition relapsed more quickly than participants in the no-lapse condition (hazard ratio [HR] = 2.12, 95% confidence interval [CI] = [1.03, 4.35]). These effects were attributable, in part, to episodic increases in craving among participants in the lapse condition only (HR = 12.42, 95% CI = [2.00, 77.1]). CONCLUSIONS: Previously abstinent smokers who lapse are at risk for increased cigarette cravings and consequently, full-blown relapse. These results have implications for both cognitive-behavioral treatments for relapse prevention and for medications designed to help smokers manage cravings.

Nicotine replacement prescribing trends in a large psychiatric hospital, before and after implementation of a hospital-wide smoking ban.

OBJECTIVE: We examined prescribing patterns for nicotine replacement therapies (NRTs) in a large psychiatric hospital, before and after the implementation of a smoking ban. METHOD: We extracted 5 years of NRT utilization data from hospital pharmacy records. The ban went into effect on January 1, 2007. Data reflect NRT prescriptions from 2 years before and 3 years after the ban, and N = 30,908 total inpatient hospital admissions. RESULTS: The monthly rate of total NRT prescriptions increased after the ban from M = 254.25 (SD = 126.60) doses per month to M = 4,467.52 (SD = 1,785.87) doses per month (>1,700% increase, p < .0001). After the smoking ban, clinicians prescribed higher doses of transdermal (but not oral) NRT (Tukey, p < .0001). Comparisons of NRT prescribing across hospital units tentatively suggested that patients being treated on the substance use disorders unit were prescribed more doses of NRT, as well as higher doses of NRT compared with patients on other units. Analysis of trends over time showed no apparent downward trend for NRT usage during the 3 years following the smoking ban, suggesting that clinicians continued to treat nicotine dependence after smoking was restricted. CONCLUSIONS: Clinicians are more likely to identify and treat symptoms of nicotine withdrawal when smoking is restricted. Hospitals should consider monitoring prescriptions for NRT as part of their ongoing quality assurance practices so that patients receive aggressive treatment of nicotine withdrawal symptoms--an essential component of high-quality patient care.