Smoking Cessation After Hospital Discharge: Factors Associated With Abstinence

Carbon monoxide and prognosis in smokers hospitalised with acute cardiac events: a multicentre, prospective cohort study

Background

Smoking cigarettes produces carbon monoxide (CO), which can reduce the oxygen-carrying capacity of the blood. We aimed to determine whether elevated expiratory CO levels would be associated with a worse prognosis in smokers presenting with acute cardiac events.

Methods

From 7 to 22 April 2021, expiratory CO levels were measured in a prospective registry including all consecutive patients admitted for acute cardiac event in 39 centres throughout France. The primary outcome was 1-year all-cause death. Initial in-hospital major adverse cardiac events (MAE; death, resuscitated cardiac arrest and cardiogenic shock) were also analysed. The study was registered at ClinicalTrials.gov (NCT05063097).

Findings

Among 1379 patients (63 ± 15 years, 70% men), 368 (27%) were active smokers. Expiratory CO levels were significantly raised in active smokers compared to non-smokers. A CO level >11 parts per million (ppm) found in 94 (25.5%) smokers was associated with a significant increase in death (14.9% for CO > 11 ppm vs. 2.9% for CO ≤ 11 ppm; p < 0.001). Similar results were found after adjustment for comorbidities (hazard ratio [HR] [95% confidence interval (CI)]): 5.92 [2.43-14.38]) or parameters of in-hospital severity (HR 6.09, 95% CI [2.51-14.80]) and propensity score matching (HR 7.46, 95% CI [1.70-32.8]). CO > 11 ppm was associated with a significant increase in MAE in smokers during initial hospitalisation after adjustment for comorbidities (odds ratio [OR] 15.75, 95% CI [5.56-44.60]) or parameters of in-hospital severity (OR 10.67, 95% CI [4.06-28.04]). In the overall population, CO > 11 ppm but not smoking was associated with an increased rate of all-cause death (HR 4.03, 95% CI [2.33-6.98] and 1.66 [0.96-2.85] respectively).

Interpretation

Elevated CO level is independently associated with a 6-fold increase in 1-year death and 10-fold in-hospital MAE in smokers hospitalized for acute cardiac events.

Funding

Grant from Fondation Coeur & Recherche.

Tobacco-Related Disease, Health Beliefs, and Post-hospital Tobacco Abstinence

INTRODUCTION

Most hospitalized patients who smoke resume after discharge. Associations of tobacco-related disease and health beliefs with post-hospitalization abstinence were examined.

METHODS

This was a cohort study using data from a 2018-2020 multicenter trial of hospitalized adults who smoked and wanted to quit. Tobacco-related disease was defined using primary discharge diagnosis codes. Baseline health beliefs included (1) smoking caused hospitalization, (2) quitting speeds recovery, and (3) quitting prevents future illness. Outcomes included self-reported 7-day point prevalence abstinence 1, 3, and 6 months after discharge. Separate logistic regression models for each of the three health beliefs were constructed. Models stratified by tobacco-related disease explored effect modification. Analysis was performed in 2022-2023.

RESULTS

Of 1,406 participants (mean age 52 years, 56% females, 77% non-Hispanic White), 31% had tobacco-related disease, 42% believed that smoking caused hospitalization, 68% believed that quitting speeds recovery, and 82% believed that quitting prevents future illness. Tobacco-related disease was associated with higher 1-month point prevalence abstinence in each health belief model (AOR=1.55, 95% CI=1.15, 2.10; 1.53, 95% CI=1.14, 2.05; and 1.64, 95% CI=1.24, 2.19, respectively) and higher 6-month point prevalence abstinence in models including health beliefs 2 and 3. Quitting speeds recovery was the only belief associated with higher 1-month point prevalence abstinence (AOR=1.39, 95% CI=1.05, 1.85). Among patients with tobacco-related disease, the belief that quitting prevents future illness was associated with higher 1-month point prevalence abstinence (AOR=2.00, 95% CI=1.06, 3.78).

CONCLUSIONS

Tobacco-related disease predicts abstinence 1 and 6 months after hospitalization independent of health beliefs. Beliefs that quitting speeds recovery and prevents future illness may serve as targets for smoking-cessation interventions.

Multiple in-hospital counseling increases six-month smoking abstinence among individuals participating in a hospital-initiated smoking cessation program

BACKGROUND

A cessation program for hospitalized smokers is an effective strategy to achieve smoking abstinence. The effects of multiple in-hospital counseling sessions on 6-month smoking abstinence require further investigation.

METHODS

We retrospectively analyzed the data of smokers who participated in hospital-initiated cessation programs at a medical center between 2017 and 2019. Data on age, sex, comorbidities, daily number of cigarettes, cessation motivation, nicotine dependence, cessation medications, discharge diagnosis, length of hospitalization, and intensive care unit admission were collected. We conducted multiple logistic regression analysis to investigate the effect of multiple in-hospital counseling sessions on 6-month sustained smoking abstinence. Sensitivity analyses were carried out excluding participants who underwent post-discharge cessation programs and assuming that the loss to follow-up participants had failure in 6-month smoking abstinence.

RESULTS

A total of 1943 participants aged ≥ 20 years were analyzed. Compared with single in-hospital counseling session, the adjusted odds ratios (ORs) for 2 and ≥ 3 counseling sessions were 1.44 (95% confidence interval [CI] 1.05 to 1.98) and 2.02 (95% CI 1.27 to 3.22), respectively, with a significant trend for increasing the number of counseling sessions (P < 0.001). The results remained significant after excluding participants who underwent a post-discharge cessation program or when assuming that lost to follow-up participants had failure in smoking abstinence.

CONCLUSION

Multiple in-hospital counseling sessions were associated with a higher 6-month sustained smoking abstinence rate. This strategy could be used to reduce the prevalence of smoking.

Factors associated with changes in inpatients' smoking pattern during hospitalization and one month after discharge: A cohort study

INTRODUCTION

Smokers are frequent users of healthcare services. Admissions to hospital can serve as a "teachable moment" for quitting smoking. Clinical guidelines recommend initiating smoking cessation services during hospitalization; however, in Southern European countries less than 5% of inpatients receive a brief intervention for smoking cessation.

OBJECTIVES

The aims of this study were (i) to examine rates of smoking abstinence during and after hospitalization; (ii) to measure changes in smoking patterns among persons who continued smoking after discharge; and (iii) to identify predictors of abstinence during hospitalization and after discharge.

METHODS

A cohort study of a representative sample of current adult smokers hospitalized in two Spanish and two Portuguese hospitals. We surveyed smokers during hospitalization and recontacted them one month after discharge. We used a 25-item ad hoc questionnaire regarding their smoking pattern, the smoking cessation intervention they have received during hospitalization, and hospital and sociodemographic characteristics. We performed a descriptive analysis using the chi-square test and a multivariate logistic regression to characterize the participant, hospital, and smoking cessation intervention (5As model) characteristics associated with smoking abstinence.

RESULTS

Smoking patients from both countries presented high abstinence rates during hospitalization (Spain: 76.4%; Portugal: 70.2%); however, after discharge, their abstinence rates decreased to 55.3% and 46.8%, respectively. In Spain, smokers who tried to quit before hospital admission showed higher abstinence rates, and those who continued smoking reduced a mean of five cigarettes the number of cigarettes per day (p ≤ 0.001). In Portugal, abstinence rates were higher among women (p = 0.030), those not living with a smoker (p = 0.008), those admitted to medical-surgical wards (p = 0.035), who consumed their first cigarette within 60 min after waking (p = 0.006), and those who were trying to quit before hospitalization (p = 0.043).

CONCLUSIONS

Half of the smokers admitted into the Spanish hospitals are abstinent one month after discharge or have reduced their cigarettes per day. Nevertheless, success rates could be increased by implementing evidence-based tobacco cessation programs at the organizational-level, including post-discharge active quitting smoking support.

CLINICAL RELEVANCE

Three-quarters of the inpatients who smoke remain abstinent during hospitalization and over half achieve to maintain their abstinence or at least reduce their consumption one month after discharge, proving that admission to hospitals is an excellent teachable moment to quit smoking.

Quit rates and predictors of smoking abstinence in Thai Buddhist monks with noncommunicable diseases

Purpose

The purpose of this study is to calculate the smoking quit rate and to examine the factors influencing smoking abstinence among Thai Buddhist monks with noncommunicable diseases (NCDs).

Design/methodology/approach

This was a cross-sectional study of 136 Buddhist monks with NCDs purposively sampled from the Priest Hospital. The participants were between 20 and 59 years of age, smoked at least one cigarette a day and received cessation advice from nurses or other health professionals. The dependent variable was self-reported 7-day point-prevalence smoking abstinence assessment at a three-month follow-up. Independent variables were age, schooling level, nicotine dependence, intention to quit, physical activity and perceived self-efficacy in quitting cessation. Logistic regression was performed to evaluate the factors influencing smoking cessation.

Findings

50 of the 136 Thai Buddhist monks (36.8%) reported the 7-day point prevalence abstinence at a three-month follow-up. About two-thirds of the participants indicated health concern as the motivation to quit smoking. Perceived self-efficacy of abstinence (odds ratio 1.04; 95% confidence interval 1.014–1.074) and intention to quit smoking (odds ratio 1.34; 95% confidence interval 1.129–1.599) were significant predictors of abstinence.

Originality/value

This is the first study of its kind to investigate the predictors of smoking cessation in Thai Buddhist monks with NCDs. The findings will be of help to healthcare counselors seeking to motivate monks to quit smoking.

Financial Incentives for Smoking Cessation in Hospitalized Patients: A Randomized Clinical Trial

BACKGROUND

Financial incentives for smoking cessation and use of evidence-based therapy may increase quitting rates and reduce health and economic disparities.

METHODS

We randomized a low-income population of 182 hospitalized patients (mean age 58 years, 45% with high school education or less) to enhanced usual care, which included hospital-directed cessation care and Quitline referral or enhanced usual care plus financial incentives. All patients received enhanced usual care, while participants randomized to the financial incentives group were also eligible to receive up to $550 for participation in Quitline counseling ($50), participation in a community-based cessation program ($50), use of pharmacotherapy ($50), and biochemically confirmed smoking cessation at 2 months ($150) and 6 months ($250). Primary outcome was biochemically confirmed smoking cessation at 6 months after hospital discharge.

RESULTS

Total mean payment was $84 (standard deviation [SD] = $133) in the incentive group. The 6-month rate of biochemically confirmed smoking cessation was 19.6% in the incentive group and 8.9% in the enhanced usual care group (odds ratio [OR] 2.56; 95% confidence interval [CI] 0.84 to 7.83, P = 0.10). Participants in the incentive group had higher rates of nicotine replacement therapy use (57.3% vs 31.3%, P = 0.002). Financial incentives did not improve subjective social status but did increase financial stress.

CONCLUSIONS

Rates of bioconfirmed smoking cessation were higher among hospitalized patients randomized to financial incentives compared to usual care alone, but the difference was not significant. Considering the frequency of low payouts and the importance of assistance for successful quitting, future studies should explore the effectiveness of financial incentives sufficiently large to overcome barriers to evidence-based therapy.

Leverage points to improve smoking cessation treatment in a large tertiary care hospital: a systems-based mixed methods study

OBJECTIVES

To generate system insights on patient and provider levers and strategies that must be activated to improve hospital-based smoking cessation treatment.

DESIGN

Mixed methods study including a series of in-depth group model building sessions, which informed the design of an online survey completed by healthcare providers and a structured interview protocol administered at the bedside to patients who smoke.

SETTING

Large, tertiary care hospital in the Midwestern United States.

PARTICIPANTS

Group model building: 28 healthcare providers and 22 previously-hospitalised patients; Online survey: 308 healthcare providers; Bedside interviews: 205 hospitalised patients.

PRIMARY AND SECONDARY OUTCOME MEASURES

Hypothesis-generating, participatory qualitative methods informed the examination of the following quantitative outcomes: patient interest versus provider perception of patient interest in smoking cessation and treatment; patient-reported receipt versus provider-reported offering of inpatient smoking cessation interventions; and priority ratings of importance and feasibility of strategies to improve treatment.

RESULTS

System insights included patients frequently leaving the floor to smoke, which created major workflow disruption. Leverage points included interventions to reduce withdrawal symptoms, and action ideas included nurse-driven protocols for timely administration of nicotine replacement therapy. Quantitative data corroborated system insights; for instance, 80% of providers reported that patients frequently leave the floor to smoke, leading to safety risks, missed assessments and inefficient use of staff time. Patients reported significantly lower rates of receiving any smoking cessation interventions, compared with provider reports (mean difference=17.4%-33.7%, p<0.001). Although 92% of providers cited patient interest as a key barrier, only 4% of patients indicated no interest in quitting or reducing smoking.

CONCLUSIONS

Engaging hospital providers and patients in participatory approaches to develop an implementation strategy revealed discrepant perceptions of patient interest and frequency of hospital-based treatment for smoking. These findings spurred adoption of standardised point-of-care treatment for cigarette smoking, which remains highly prevalent yet undertreated among hospitalised patients.

Response to reduced nicotine content cigarettes among smokers with chronic health conditions

Individuals with chronic health conditions persist in smoking despite the presence of smoking-related illness. The aim of this study was to examine whether chronic health conditions moderate response to reduced nicotine content cigarettes (0.4, 2.4, 5.2, 15.8 mg/g of tobacco). This is a secondary analysis of a controlled clinical laboratory study that examined the acute effects of cigarettes varying in nicotine content among individuals especially vulnerable to smoking and tobacco dependence. Participants in the present study were categorized as having 0, 1–2, or ≥3 smoking-related chronic health conditions (i.e., chronic condition severity, CCS). Repeated-measures analysis of variance was used to examine whether CCS moderated response to cigarettes across measures of addiction potential (i.e., concurrent choice testing between nicotine dose pairs, Cigarette Purchase Task (CPT) performance, positive subjective effects), tobacco withdrawal, cigarette craving, and smoking topography. No main effects of CCS or interactions of CCS and nicotine dose were observed for concurrent choice testing, positive subjective effects, tobacco withdrawal, or smoking topography. Main effects of CCS were noted on the CPT with greater CCS being associated with less persistent demand. There was an interaction of CCS and nicotine dose on Factor 1 of the Questionnaire on Smoking Urges with the effects of dose significant only among those with 1–2 chronic conditions. Overall, we see minimal evidence that chronic condition severity affects response to reduced nicotine content cigarettes. A policy that reduces the nicotine content of cigarettes to minimally addictive levels may benefit smokers already experiencing smoking-related chronic conditions.