Making smoking history: temporal changes in support for a future smoking ban and increasing taxes in the general population of Denmark.

BACKGROUND: An end date for smoking has been adopted in several countries and is now being discussed by governments all over the world. However, little is known about temporal changes in citizens' support for a future smoking ban. AIM: To examine temporal changes in support for a future smoking ban and for increasing taxes on tobacco in Denmark, and to explore whether these changes differ across sex, age, educational attainment, smoking status and between smokers with/without intention to quit. METHOD: The study was based on two waves of 'The Danish Capital Region Health Survey' conducted in 2013 and 2017. The pooled study sample included 96 521 citizens aged ≥16 years old. RESULTS: Public support for a future smoking ban increased from 30.6% in 2013 to 50.3% in 2017, whereas support for increasing tobacco taxes remained unchanged at 59%. Support for a future smoking ban increased significantly in almost all subgroups from 2013 to 2017: Support among daily smokers increased by 27% between 2013 and 2017. Support among never smokers was almost 2.63 times higher than among smokers in 2013 and increased further in 2017 (OR: 2013=2.63; 2017=5.13). CONCLUSION: This study indicates a readiness to support a future smoking ban and increasing tobacco taxes. Support for a future smoking ban has increased from 2013 to 2017 among both young people and adults. By 2017, about half of the population supported a future smoking ban and increasing tobacco taxes. Findings may help inform policy-making related to endgame strategies.

Smoking Cessation Programs Are Less Effective in Smokers with Low Socioeconomic Status Even When Financial Incentives for Quitting Smoking Are Offered-A Community-Randomized Smoking Cessation Trial in Denmark.

Financial incentives offered to those who quit smoking have been found effective, also in persons with low socioeconomic status (SES), but no previous study has investigated who benefits most: smokers with low or high SES. In this community-randomized trial ("Richer without smoking"), three Danish municipalities were randomized to reward persons who were abstinent when attending the municipal smoking cessation program (FIMs) and three municipalities were randomized to spend the same amount on smoking cessation campaigns recruiting smokers to the smoking cessation program (CAMs). The municipalities each received approximately USD 16,000. An intention-to-treat approach was used in analyses. In regression analyses adjusted for individual- and municipal-level differences, we found that smokers with high SES living in FIMs had significantly higher proportion of validated long-term successful quitters (OR (95% CI): 2.59 (1.6-4.2)) than high-SES smokers living in CAM. Smokers with low SES, however, did not experience the same benefit of financial incentives as smokers with high SES. Neither the FIMs nor the CAMs succeeded in attracting more smokers with low SES during the intervention year 2018 than the year before. Our study showed that smokers with low SES did not experience the same benefit of financial incentives as smokers with high SES.

Are financial incentives more effective than health campaigns to quit smoking? A community-randomised smoking cessation trial in Denmark.

The aim of this community-randomised smoking cessation (SC) trial was to investigate both recruitment and SC-rates in three municipalities offering financial incentives (FIM) to smokers who stop smoking when attending a municipal SC-program and compare these with three municipalities investing in a campaign (CAM) that should encourage smokers to use the SC-program. Furthermore, in a non-randomised matched control design we investigated whether there was a difference in recruitment and SC-rates in the three FIM and the three CAM, comparing each with three matched control municipalities (MCM). Each municipality received approx. $16,000. The FIM rewarded persons who were abstinent when attending the municipal SC-program. The CAM spent the money on a campaign recruiting smokers to the SC-program. Two of three FIM were only partly active in recruiting smokers in the intervention year 2018. An intention-to-treat (ITT) approach was used in analyses. Complete case analyses and multiple imputation were used to address loss to follow-up. No difference in recruitment was found between the CAM and the FIM (p = 0.954), in adjusted analyses. In ITT analyses, FIM achieved significantly higher odds of validated abstinence from smoking at one-year follow-up (OR (95%CI): 1.63(1.1-2.4)), but not of self-reported continuous abstinence after six months than CAM. Compared with no intervention, campaigns increased the recruitment of smokers to the SC-program while financial incentives increased six months abstinence rates. In a randomised trial, no difference was demonstrated in the effect of financial incentives and campaigns to recruit smokers to a SC-program and financial incentives seemed superior to help smokers staying smoke-free for a year. TRIAL REGISTRATION: ClinicalTrials.Gov ID: NCT03849092.

Chronic Diseases in High-Cost Users of Hospital, Primary Care, and Prescription Medication in the Capital Region of Denmark.

BACKGROUND: A small proportion of patients account for the majority of health care costs. This group is often referred to as high-cost users (HCU). A frequently described characteristic of HCU is chronic disease. Yet, there is a gap in understanding the economic burden of chronic diseases associated with HCU to different types of health care services. OBJECTIVE: To analyze which frequent chronic diseases have the strongest association with HCU overall, and HCU in hospital, primary care, and prescription medication. DESIGN: This is a register-based observational study on Danish health service costs for various diseases in different medical settings. PARTICIPANTS: A total of 1,350,677 individuals aged ≥ 18 years living in the Capital Region of Denmark by 1 January 2012 were included. MAIN MEASURES: Chronic diseases, costs, and sociodemographic data were extracted from the nationwide registers, including data from hospitals, primary care, and medicine consumption. These information were merged on an individual level. KEY RESULTS: Cancer, mental disorders except depression, and heart diseases have the strongest association with HCU overall. Mental disorders except depression were in the three diseases most prevalent in HCU in all the three health care services. CONCLUSIONS: Our results show that the chronic diseases that have the strongest association with HCU differ between different types of health care services. Our findings may be helpful in informing future policies about health care organization and may guide to different prevention, treatment, and rehabilitation strategies that could lessen the burden in the hospital.