Literature DB >> 34527333

Change in amount smoked and readiness to quit among patients undergoing lung cancer screening.

Danielle E Deros1, Charlotte J Hagerman1, Jenna A Kramer2, Eric D Anderson3, Shawn Regis4, Andrea B McKee4, Brady J McKee4, Cassandra A Stanton1,5, Ray Niaura1,6, David B Abrams1,6, Michael Ramsaier7, Shelby Fallon1, Harry Harper7, Kathryn L Taylor1.   

Abstract

BACKGROUND: There is mixed evidence regarding whether undergoing computed tomography lung cancer screening (LCS) can serve as a "teachable moment" that impacts smoking behavior and attitudes. The study aim was to assess whether the standard procedures of undergoing LCS and receiving free and low-cost evidence-based cessation resources impacted short-term smoking-related outcomes.
METHODS: Participants were smokers (N=87) who were registered to undergo lung screening and were enrolled in a cessation intervention trial. We conducted two phone interviews, both preceding trial randomization: the first interview was conducted prior to lung screening, and the second interview followed lung screening (median =12.5 days post-screening) and participants' receipt of their screening results. The interviews assessed demographic characteristics, interest in evidence-based cessation intervention methods, and tobacco-related characteristics, including cigarettes per day and readiness to quit. Participants received minimal evidence-based cessation resources following the pre-lung screening interview.
RESULTS: Participants were 60.3 years old, 56.3% female, and reported a median of 40 pack-years. Participants were interested in using several evidence-based strategies, including counseling from a healthcare provider (76.7%) and receiving nicotine replacement therapy (69.8%). Pre-lung screening, 25.3% smoked ≤10 cigarettes per day, and 29.9% were ready to quit in the next 30 days. We conducted two McNemar binomial distribution tests to assess change from pre- to post-screening. At the post-lung screening assessment, approximately three-quarters reported no change on these variables. However, 23.3% reported smoking fewer cigarettes per day, whereas 4.7% reported smoking more cigarettes per day (McNemar P=0.002), and 17.2% reported increased readiness to quit, whereas 6.9% reported decreased readiness to quit (McNemar P=0.078).
CONCLUSIONS: Following receipt of cessation resources and completion of lung screening, most participants reported no change in smoking outcomes. However, there was a significant reduction in cigarettes per day, and there was a trend for increased readiness to quit. This setting may provide a potential "teachable moment" and an opportunity to assist smokers with quitting. However, more proactive and intensive interventions will be necessary to capitalize on these changes and to support abstinence in the long-term. 2021 Journal of Thoracic Disease. All rights reserved.

Entities:  

Keywords:  CT lung cancer screening (CT LCS); Lung cancer; smoking behaviors; teachable moment; tobacco

Year:  2021        PMID: 34527333      PMCID: PMC8411192          DOI: 10.21037/jtd-20-3267

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   3.005


Introduction

Lung cancer is the second-most prevalent cancer diagnosis, with 80% of cases attributable to cigarette smoking (1). Notably, lung cancer mortality can be reduced by 20–24% among patients engaged in low-dose CT lung cancer screening (LCS) and treatment of early-stage disease (2,3). Importantly, modeling studies suggest that even greater mortality reduction may occur when LCS is paired with smoking-cessation interventions (4,5). The time frame immediately surrounding LCS may serve as a “teachable moment” in which smokers have heightened awareness of health risks associated with smoking, increased motivation to stop smoking, and increased perceived risk for lung cancer (6). Indeed, LCS may provide an opportunity to leverage increased motivation to quit by offering cessation interventions, and some studies have shown that LCS is associated with abstinence or readiness to quit (7-10). However, as not all studies have found these associations (11-14), further study regarding smoking behavior in the LCS setting is warranted. The goal of the present study was to observe whether undergoing lung screening, along with receiving minimal cessation resources, impacted short-term smoking-related outcomes. We present this paper in accordance with the SURGE reporting checklist (available at https://dx.doi.org/10.21037/jtd-20-3267).

Methods

Overview

Individuals who had registered to undergo LCS and who were currently smoking were invited to enroll in a randomized trial comparing a telephone-based smoking cessation intervention to usual care, described in a separate paper (15). For this secondary data analysis, we present data that were collected at two assessments that were conducted: (I) prior to the LCS exam, and (II) following the LCS exam and receipt of the screening results. Both assessments preceded trial randomization.

Participants

Eligibility criteria utilized NCCN guidelines (16) for LCS: (I) 50–80 years of age and (II) 20+ pack-year smoking history. Participants were current smokers who had registered for LCS at one of three screening programs [Georgetown University Medical Center (GUMC), Lahey Hospital and Medical Center (LHMC), and Hackensack University Medical Center (HUMC)]. Participants were excluded if they ultimately did not undergo LCS. Readiness to quit was not an eligibility criterion.

Procedure

Between November 2013 and March 2016, each LCS site invited smokers to learn more about this study when scheduling their LCS appointment. Once potential participants scheduled their LCS, GUMC interviewers called interested individuals to describe the study, obtain verbal consent, and conduct the pre-LCS telephone interview. Following the pre-LCS interview, all participants received the BecomeAnEx cessation booklet and a resource list, which included the BecomeAnEx website address, local cessation resources, the National Cancer Institute’s SmokefreeTXT address, and the link to the LIVESTRONG Cessation app (17-20). Participants were consented as part of a randomized trial (15). The results presented in this paper do not concern the randomized trial, but only the data that were collected prior to randomization (trial registration number: NCT02267096). The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by Institutional Review Board of Georgetown University Federal Wide Assurance number FWA00001080 and informed consent was taken from all individual participants. The IRB required verbal consent, followed by a mailed information sheet explaining the study procedures, participant rights, and potential risks, but did not require signed consent forms. Financial incentives were not provided for the completion of these two interviews.

Measures

Pre-LCS interview

We assessed past use of cessation interventions on a dichotomous yes/no scale. Future interest in cessation interventions was assessed on a 4-point scale including options for 1 “Yes, definitely”, 2 “Yes, possibly”, 3 “Probably not” and 4 “Definitely not”. Responses for future interest in cessation interventions were further collapsed into categories of “Yes, interested” (Item responses 1 and 2) and “Not interested” (Item responses 3 and 4) for analyses. Tobacco dependence was assessed using the Fagerstrom Test for Nicotine Dependence (FTND) (21), which ranges from 0 “Very low” to 10 “Very high” dependence. Cigarettes per day (CPD) was assessed using average number of cigarettes smoked per day on an ordinal scale of “Less than 1 per day”, “1 per day”, “2–5 per day”, “6–10 per day”, “11–20 per day”, “20 per day (1 pack)”, “21–40 per day (2 packs)”, “41–60 per day (3 packs)”, and “more than 3 packs per day”. Readiness to quit was assessed using the 10-item Contemplation Ladder, which ranges from “I have already begun to cut down/have a quit plan” to “I enjoy smoking so much I will never consider quitting” (22).

Post-LCS interview

We assessed utilization of the cessation resources provided (‘Yes, resource was used’ vs. ‘No, resource was not used’) and reassessed CPD and readiness to quit. LCS results were presented previously (14) and were not related to CPD or readiness to quit (data not shown).

Statistical analyses

Due to small cell sizes, we collapsed the outcomes into two categories: CPD (≤10 CPD vs. 11+ CPD); and readiness to quit (ready to quit in the next 30 days/already cut down vs. ready to quit in the next 6 months/not ready to quit). We conducted two McNemar binomial distribution tests to assess change in CPD and readiness to quit, from pre- to post-screening, to determine the percentage of participants who: (I) decreased (i.e., the post-LCS value of CPD or readiness to quit was lower than the pre-LCS value), (II) were unchanged (i.e., same category was endorsed at both assessments), or (III) increased (i.e., the post-LCS value was greater than the pre-LCS value). Significance levels were established at P<0.05. This pilot study was designed to evaluate feasibility and provide preliminary data for a subsequent trial. We conducted analyses using SPSS 25.0.

Results

Participation rates

A total of 187 individuals met eligibility criteria and 115 (61.5%) enrolled () (15). The 72 eligible individuals who declined enrollment did not significantly differ from the 115 participants on age [t(185)=0.14, P=0.885] or gender [χ2(1, N=187)=2.59, P=0.108], but did report fewer pack-years [t(176.01)=−2.16, P=0.03]. Of those enrolled, 5 could not be reached at pre-LCS, 10 were ineligible for the post-LCS interview (9 did not undergo screening and 1 was diagnosed with lung cancer), and 13 declined the post-LCS interview. We include the 87/115 (75.7%) participants who completed both the pre- and post-LCS interviews to assess change over time in CPD and readiness to quit.
Figure 1

Study flow diagram. Compared to eligible individuals who declined (N=72), participants (N=87) did not differ on age (P=0.820), or gender (P=0.136), but reported more pack years, P=0.03. Compared to those who declined post-CTLS (N=13), participants (N=87) did not significantly differ on age (P=0.43), gender (P=0.72), or pack-years, P=0.70. Finally, compared to those who elected to not get screened (N=9), participants (N=87) did not differ on age (P=0.46) or pack-years (P=0.31), and the test for gender was invalid due to small cell sizes.

Study flow diagram. Compared to eligible individuals who declined (N=72), participants (N=87) did not differ on age (P=0.820), or gender (P=0.136), but reported more pack years, P=0.03. Compared to those who declined post-CTLS (N=13), participants (N=87) did not significantly differ on age (P=0.43), gender (P=0.72), or pack-years, P=0.70. Finally, compared to those who elected to not get screened (N=9), participants (N=87) did not differ on age (P=0.46) or pack-years (P=0.31), and the test for gender was invalid due to small cell sizes.

Pre-screening characteristics

Participants were an average of 60.3 years old (SD =5.3), 56.3% were female, and the majority (96.6%) were white (). Regarding tobacco-related characteristics, the sample reported a moderate level of nicotine dependence (M=4.4, SD =1.9), a median of 40 pack-years, and very few had used tobacco or nicotine products other than cigarettes in the past 30 days (). Most participants (78%) were from LHMC due to that site’s higher screening volume.
Table 1

Pre-screening demographic, tobacco, and lung screening characteristics (N=87)

VariablesValue
Categorical variables, N (%)
   Site
    Georgetown10 (11.5)
    Lahey68 (78.2)
    Hackensack9 (10.3)
   Gender
    Female49 (56.3)
   Marital status
    Married/marriage-like relationship37 (42.5)
   Race
    White84 (96.6)
    Black or African-American2 (2.3)
    American Indian1 (1.1)
   Education
    ≤ HS graduate30 (34.5)
    Some college33 (37.9)
    ≥ College graduate24 (27.5)
   Employment
    Not employed11 (12.6)
    Full-time/part-time38 (43.7)
    Retired27 (31.0)
    Other/disability11 (12.6)
   Tobacco-related comorbidities
    025 (28.7)
    134 (39.1)
    2+28 (32.2)
   Health insurance status
    Yes86 (98.9)
   Family history of lung cancer
    Yesa33 (38.4)
Continuous variables
   Age
    Mean (SD)60.3 (5.3)
    Median (range)60.0 (50.0–71.0)
   Pack years
    Mean (SD)47.8 (22.6)
    Median (range)40.0 (23.0–165.0)
   Nicotine dependence (20)
    Pre-LCSb, mean (SD)4.4 (1.9)
   Age smoked first cigarette, mean (SD)14.5 (3.5)
   Age began daily smoking, mean (SD)17.4 (3.4)
   Longest abstinence, median (range)120 days (0 days–18 years)
   24 hours quit attempts in past year, median (range)2 (0–200)

aN: 1 missing: refused; bN: 1 missing. LCS, lung cancer screening.

Table 2

Prior use of other tobacco products

Use of other tobacco productsEver usePast 30 days
Pipe13 (14.9%)0 (0.0%)
Cigar34 (39.1%)4 (4.6%)
Tiparillo16 (18.4%)0 (0.0%)
Smokeless tobacco7 (8.0%)0 (0.0%)
Electronic cigarettea49 (57.6%)b9 (10.8%)c

aN: 1 missing: refused; bN: 2 missing; cN: 4 missing.

aN: 1 missing: refused; bN: 1 missing. LCS, lung cancer screening. aN: 1 missing: refused; bN: 2 missing; cN: 4 missing.

Cessation strategies

Cessation strategies used in previous quit attempts and those that participants were interested in using in the future are included in . Compared to the proportion who reported using cessation strategies previously, participants reported greater interest in using several evidence-based strategies. For example, although 81.6% had tried to quit ‘cold turkey’ previously, only 50.6% reported an interest in quitting ‘cold turkey’ in the future. Further, participants were very interested in receiving future counseling from a healthcare provider (76.7%) and in receiving NRT (69.8%). Regarding the minimal cessation resources we provided, participants reported low utilization (<5%), with the exception of the BecomeAnEx booklet (45.9%). We did not collect further details on participants’ use of the booklet (e.g., time spent reading or recall of the content).
Table 3

Cessation strategies: previous use and future interest

Cessation strategiesPrevious useFuture interest
Provider counseling19 (21.8%)66 (76.7%)d
Group counseling10 (11.5%)45 (51.7%)
Telephone counselinge5 (5.7%)57 (65.5%)
Varenicline40 (46.0%)31 (36.0%)d
Bupropion39 (44.8%)41 (47.7%)a
Nicotine replacement62 (71.3%)60 (69.8%)d
Self-help programs16 (18.4%)45 (51.7%)
Internet programs4 (4.6%)43 (49.4%)a
Text messaging programs1 (1.2%)b27 (31.8%)b
Electronic cigarette48 (55.8%)d48 (57.0%)b
Cold turkey71 (81.6%)44 (50.6%)
Hypnosis or acupuncture42 (48.3%)65 (74.4%)

aN: 1 missing: refused; bN: 2 missing; dN: 1 missing; eIt is possible that the high interest in telephone counseling was in part because participants had enrolled in a telephone counseling intervention (14).

aN: 1 missing: refused; bN: 2 missing; dN: 1 missing; eIt is possible that the high interest in telephone counseling was in part because participants had enrolled in a telephone counseling intervention (14).

Longitudinal assessment of cigarettes per day and readiness to quit

The post-LCS telephone interview was completed a median of 12.5 days post-screening (mean =16 days, SD =10.9; range, 6–69 days). presents CPD and readiness to quit at pre- and post-LCS. Regarding CPD, 25.3% reported smoking ≤10 CPD at the pre-LCS assessment, compared to 44.2% at post-LCS. Similarly, pre-LCS, 29.9% were ready to quit in the next 30 days, compared to the post-LCS assessment, in which 40.2% were either ready to quit in the next 30 days or self-reported having quit since the pre-LCS assessment.
Table 4

Pre- and post-screening report of cigarettes per day and readiness to quit (N=87)

Smoking-outcome variablePre-screen, N (%)Post-screen, N (%)
Cigarettes per daya,b
   >1165 (74.7)48 (55.8)
   ≤1022 (25.3)38 (44.2)
Readiness to quitb
   Self-reported quit (post-screen)N/A6 (6.9)
   Ready to quit within next 30 days/already cut down26 (29.8)29 (33.3)
   Ready to quit within next 6 months/not ready to quit61 (70.1)52 (59.8)

aN: 1 missing; bwe collapsed pre- and post-screening survey response options into dichotomous categories due to small cell sizes. CPD, cigarettes per day.

aN: 1 missing; bwe collapsed pre- and post-screening survey response options into dichotomous categories due to small cell sizes. CPD, cigarettes per day. depicts the change over time in these variables, from pre- to post-screening, to assess the statistical significance of the percentage of participants who decreased, increased, or did not change. Participants were categorized as changed over time when they responded in a different category pre- to post-screen. The majority (72.1%) reported the same number of CPD at each assessment, while 23.3% reported smoking fewer CPD and 4.7% reported smoking more CPD (McNemar test, P=0.002) at the post-LCS assessment. Change in readiness to quit showed that 75.9% reported no change in their readiness, whereas 17.2% reported becoming more ready to quit, and 6.9% became less ready to quit (McNemar test, P=0.078).
Figure 2

Change from pre- to post-LCS in cigarettes per day and readiness to quit. McNemar binomial distribution tests assess the change from pre- to post- LCS. LCS, lung cancer screening.

Change from pre- to post-LCS in cigarettes per day and readiness to quit. McNemar binomial distribution tests assess the change from pre- to post- LCS. LCS, lung cancer screening.

Discussion

We assessed changes in cigarettes per day and readiness to quit among smokers undergoing LCS who also received free and low-cost evidence-based cessation resources. Although approximately three-quarters reported stable smoking-related outcomes from pre- to post-screening, almost one-quarter reported smoking fewer cigarettes and just over 15% became more ready to quit. This change was statistically significant for cigarettes per day and approached significance for readiness to quit. These results suggest that a portion of individuals made positive health changes, and also that a smaller portion became more inclined to continue smoking. These findings partially support previous studies that have shown the potential for a “teachable moment” and improved tobacco-related outcomes within the context of LCS (7-10). However, other studies do not support these findings (11-14), possibly due to a longer post-screening window in which assessments occurred, suggesting that motivation to reduce or stop smoking can quickly dissipate. Moreover, undergoing LCS in and of itself may not impact abstinence (23), which was also suggested by the low number of individuals who quit immediately following LCS in the present study. However, the changes in amount smoked and readiness to quit, along with the provision of cessation resources, may encourage progression toward quitting in this setting. The combination of LCS with the offer of minimal cessation resources reflects what occurs in many LCS clinical settings, which requires further assessment to understand the unique contributions of these individual factors, which cannot be teased apart in this study. Although participants reported low usage of most of the cessation resources provided by the study, they indicated substantial interest in using other cessation methods, suggesting that LCS participants may be willing to engage in evidence-based and intensive interventions (e.g., counseling, nicotine replacement) when provided. Moreover, although a large proportion of participants had tried to quit ‘cold turkey’ previously, a far lower percentage reported an interest in using it in the future. Similarly, other than the FDA-approved medications, few had previously used cessation counseling or other evidence-based strategies, yet a majority expressed an interest in using several evidence-based strategies in the future. These results may suggest that evidence-based strategies were viewed more favorably at present than they were previously. Engaging all smokers in cessation interventions is of the utmost importance for maximizing the benefits of LCS. Importantly, even among smokers who were enrolled in a cessation trial, a substantial proportion was not ready to quit, underscoring the need to determine tobacco treatment strategies that appeal to smokers in this setting. Similarly, as there was low utilization of the cessation resources we provided, additional encouragement is needed for smokers undergoing LCS to utilize available free and low-cost cessation resources, as well as to provide access to more intensive interventions. These results should be interpreted in light of the methodological strengths and limitations. Regarding strengths, the assessments occurred proximal to the LCS exam, which provided an evaluation of the immediate smoking-related outcomes. These outcomes can set the stage for participant engagement in proactive cessation interventions. Second, combining the LCS exam with minimal cessation resources reflects the strategies that are typically utilized by LCS programs in order to meet the CMS mandate (24), thus adding to the real-world relevance of these findings. Third, the inclusion of smokers who are not ready to quit provided information on a group that is well-represented in LCS programs, but who may require greater effort in order to engage in cessation interventions. Fourth, although the sample size required collapsing the response categories of the smoking-related variables, a significant reduction in CPD and a marginally significant improvement in readiness to quit were detected. With a larger sample and continuous variables, more robust changes in smoking-related variables may be found. Methodological limitations included the limited diversity of the study sample, although this largely reflects those who are currently undergoing LCS (25). Additional limitations included the small sample size, the brief follow-up period, and the need to assess whether the results are generalizable to individuals undergoing LCS who are not enrolled in a cessation trial. These results suggest that LCS and the provision of minimal, evidence-based cessation interventions may promote positive tobacco-related behaviors. These short-term changes in cigarettes per day and readiness to quit suggest that proactive and intensive cessation interventions will be needed to capitalize on the potential “teachable moment” of LCS. This is a period in which clinicians have an opportunity to educate patients on the harms of continued smoking in the context of receiving the LCS results, as well as to connect patients to cessation resources, regardless of their interest in quitting following LCS. The article’s supplementary files as
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