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. Author manuscript; available in PMC: 2015 Jun 1.
Published in final edited form as: Subst Use Misuse. 2014 Feb 6;49(7):852–863. doi: 10.3109/10826084.2014.880724

Changing Low Income Smokers’ Beliefs about Tobacco Dependence Treatment

Bruce Christiansen 1, Kevin Reeder 2, Michael C Fiore 3, Timothy B Baker 4
PMCID: PMC4358750  NIHMSID: NIHMS666911  PMID: 24502374

Introduction

Impoverished smokers are as likely to express a desire to quit as the general population, but they are less likely to try to quit and are less likely to be successful when they do try (Gilman, Abrams, & Buka, 2003; Gilman et al., 2008; Giskes, van Lenthe, Turrell, Brug, & Mackenbach, 2006; Hiscock, Judge, & Bauld, 2011; Levy, Romano, & Mumford, 2005; Sheffer et al., 2012). They are also less likely to use an evidenced-based treatment method, relying more on unaided quit attempts than are smokers in the general population (Centers for Disease Control and Prevention, 2001, 2011; Cummings & Hyland, 2005; Kasza et al., 2012; Murphy, Mahoney, Hyland, Higbee, & Cummings, 2005). These findings suggest that compared with smokers in general, smokers of low income may experience greater or different barriers to accessing evidence-based treatments. These barriers may include insurance coverage (less likely to have health insurance that might pay for cessation treatment), financial constraints (less money to purchase over the counter cessation medication) and reduced access to quality healthcare (greater reliance on emergency departments) (DeNavas-Walt, Proctor, & Smith, 2009; Urban Institute, 2009).

Increasingly, beliefs about smoking and methods of quitting have been identified as treatment barriers. For example, this population is less knowledgeable than the general population about the harms of smoking (Cummings et al., 2004; Oakes, Chapman, Borland, Balmford, & Trotter, 2004; Siahpush, McNeill, Hammond, & Fong, 2006; Wilkinson, Vasudevan, Honn, Spitz, & Chamberlain, 2009) and the availability of effective treatment (McMenamin, Halpin, & Bellows, 2006; McMenamin, Halpin, Ibrahim, & Orleans, 2004; Murphy, et al., 2005; Murphy, Shelley, Repetto, Cummings, & Mahoney, 2003; Roddy, Antoniak, Britton, Molyneux, & Lewis, 2006). Further, beliefs that cessation medications are ineffective, dangerous, addicting, or too costly are more prevalent among those living in poverty and correlate negatively with intention to quit and quit attempts (Bansal, Cummings, Hyland, & Giovino, 2004; Borland, Cooper, McNeill, O'Connor, & Cummings, 2011; Christiansen, Reeder, Hill, Baker, & Fiore, 2012; Cummings & Hyland, 2005; Cummings, et al., 2004; Fu et al., 2007; Okuyemi et al., 2006; Roddy, Romilly, Challenger, Lewis, & Britton, 2006; Vogt, Hall, & Marteau, 2008).

Ferguson et al., (Ferguson et al., 2011) found that about half of interested quitters who held misperceptions about the safety of nicotine replacement products said they would be more likely to use such medications if they were shown evidence that their misperceptions were false. This suggests that interventions designed to change these beliefs may increase the use of evidence-based methods for quitting. Unfortunately, little is known about how to change such beliefs. One intervention (Willemsen, Wiebing, van Emst, & Zeeman, 2006) that targeted misperceptions of the effectiveness of various quitting methods has been evaluated amongst the general population of smokers. Willemsen, et al. (Willemsen, et al., 2006) used the internet to recruit 3391 smokers who had no intention to quit over the upcoming 6 months and provided them with a “decision aid kit” via the mail that contained information on effective versus ineffective methods of quitting. They found that, compared to a control group, smokers who received the aid kit were more likely to make a quit attempt and to be abstinent six months later, even though they were no more likely to use an evidenced-based quit method. Mooney et al. (Mooney, Babb, Jensen, & Hatsukami, 2005; Mooney, Leventhal, & Hatsukami, 2006), tested a brief intervention that addressed a different set of quitting beliefs. Smokers enrolling in a quit study were given specific, tailored feedback that addressed baseline beliefs about the effectiveness, safety, and necessity of using nicotine replacement therapy (NRT). This feedback reinforced accurate medication knowledge and beliefs and challenged incorrect, negative, and ambivalent beliefs, using non-confrontational language that allowed for engagement, reflection, and clarification. Compared to a control group receiving standard cessation treatment, smokers receiving this brief feedback held significantly lower perceptions of NRT drawbacks and a higher perceived need to quit. However, the groups did not differ in NRT compliance or in abstinence at seven weeks.

To the extent that the poor face substantial knowledge gaps and dysfunctional beliefs about smoking and smoking cessation methods (Christiansen, et al., 2012; Cummings, et al., 2004; Oakes, et al., 2004; Roddy, Antoniak, et al., 2006; Siahpush, et al., 2006; Wilkinson, et al., 2009), the above findings encourage exploration of interventions that might address such barriers. However, such interventions should be offered in contexts that ensure adequate exposure and reach. The healthcare system may not be ideal since people living in poverty are less likely to access preventive health services and are less likely to receive treatment for tobacco dependence from primary care providers (Browning, Ferketich, Salsberry, & Wewers, 2008; Centers for Disease Control and Prevention, 2011; Chase, McMenamin, & Halpin, 2007). Instead, such interventions could be provided by a community agency (community assistance programs, transitional living facilities, drop in mental-health centers etc.). Such agencies offer advantages as venues for tobacco interventions directed at the poor: (1) these agencies see service to the poor as a central responsibility; (2) the poor constitute a large portion of their clientele; (3) the cost-structures of these agencies permit them to be low-cost providers; (4) these agencies have earned the trust of the poor; and (5) impoverished smokers visit these agencies on a regular basis. Indeed, evidence shows that brief tobacco interventions delivered in community agencies are well received by both agency staff and clients (Bryant, Bonevski, Paul, O'Brien, & Oakes, 2010; Christiansen, Brooks, Keller, Theobald, & Fiore, 2010; Hull, Salmon, O'Brien, Chapman, & Williams, 2012) and can be effective (O'Brien, Salmon, & Penman, 2012).

The current field study tested the effects of a brief tobacco intervention that was designed to modify perceptions of the effectiveness of different tobacco dependence treatments. This intervention targeted beliefs about the effectiveness of different methods of quitting because the alteration of such beliefs yielded promising effects in earlier research (Willemsen, et al., 2006) and because impoverished smokers exhibit knowledge gaps about the effectiveness of various quitting approaches (Fu, et al., 2007; McMenamin, et al., 2006; Roddy, Romilly, et al., 2006). Moreover, to increase both the real world relevance of this research and the likelihood of reaching low income smokers, this study was conducted in Salvation Army sites by regular agency staff. We hypothesized that when smokers seeking general assistance from the Salvation Army are provided a brief intervention designed to alter beliefs about the effectiveness of various quitting methods, the intervention will change those beliefs and lead to greater intent to quit, greater likelihood of making a quit attempt, and greater use of evidenced-based cessation interventions.

Method

Subjects

This study sought to enroll 250 subjects recruited from clients seeking services from two Salvation Army sites in Waukesha and Sheboygan, Wisconsin. These clients were seeking emergency lodging, clothing, food, and/or emergency assistance for utility bills. Eligibility criteria were: age over 18, current smoking (at least one cigarette daily or at least 10 cigarettes weekly) and availability to be contacted by telephone a month later. Subjects were recruited via flyers posted at the Salvation Army sites that indicated the availability of a study about smoking, in which participants would not be asked to quit. The flyers also informed potential participants that they would receive a $25.00 grocery card as a “thank you” and that Salvation Army staff were available for more information.

Procedure

Salvation Army case managers received three hours of study procedure training. After establishing eligibility and obtaining written informed consent, case managers assigned each subject to one of two groups by selecting the next file from a set that had been randomly ordered, thus ensuring random assignment to group. The intervention group (n=126) received a brief intervention, designed to last 10 – 15 minutes that addressed the effectiveness of various quit methods. This intervention had three components. First, intervention subjects were asked to indicate the number of smokers out of 100 that would quit successfully using each of five methods: quitting all at once, without any help, cold turkey; using a quit smoking medicine; receiving counseling/coaching; using a quit smoking medicine and getting counseling/coaching together; and using hypnosis. Each method was briefly described in writing on the “What is the Best Way to Stop Smoking” worksheet to ensure that subjects understood what was meant by the various types of treatment. Subjects indicated their answer on a scale from 1 to 100. The research assistant then placed a transparency over the answers that displayed the expected quit rate gleaned from the Federal clinical practice guideline (Fiore, Jaen, Baker, Bailey, Benowitz, … Wewers, 2008), for each method: quitting cold turkey (4%), using a quit smoking medicine (20%), getting counseling/coaching (15%), using a quit smoking medicine and getting counseling/coaching (25%) and using hypnosis (4%). The research assistant compared the subject’s guesses with the data based answers, and suggested that since quitting is difficult it is important to use the most effective method (medicine plus counseling/coaching). The second portion of the intervention consisted of a brief discussion of previous quit attempts as an opportunity to build self-efficacy and reinforce the use of both a cessation medication and counseling/coaching. Third, intervention subjects were provided information about quitting, including a brochure about the Wisconsin Tobacco Quit Line (WTQL). The research assistant underscored attractive features of use of the WTQL (e.g., free assistance, availability of both counseling and medication). Research assistants recorded the duration of the intervention. Throughout the study research staff made periodic visits to the two Salvation Army sites to directly observe the provision of the intervention to ensure fidelity, to answer any questions and to retrieve collected data.

Intervention subjects were then administered a survey consisting of 35 questions that took 10 – 15 minutes to complete (intervention survey). Control subjects, (n= 119) who did not receive the intervention described above received the same survey after they signed the consent form. Assistance was provided to those with reading difficulties. This survey consisted of: two demographic questions (age and gender); four questions about past and current smoking, including time to first cigarette of the day; five questions about future quitting (intent, readiness, confidence, willingness to seek help, and willingness to set a quit date); five questions about how many smokers out of 100 would quit by using each of five quitting methods; seven questions about the safety, effectiveness, effect on cravings and addiction potential of medicines; five questions about the WTQL; five questions about the quality of services provide by the Salvation Army; and two open-ended questions: name three reasons to quit and the method the person would use if a decision to quit were made (se appendix).

One month later the subjects were contacted via telephone by research staff from the Center for Tobacco Research and Intervention. A 32-item follow-up survey was administered; subsets were administered based on whether the subject had quit or not (point prevalence – no cigarettes in the past week). Questions included 23 that were the same as on the pre-intervention survey (the five questions about how many smokers out of 100 would quit by using each of five quitting methods; the seven questions about the safety, effectiveness, effect on cravings and addiction potential of medicines; four of five questions about the WTQL; the two open ended questions and five questions about future quitting (intent, readiness, confidence, willingness to seek help, and willingness to set a quit date) [asked only if the subject was still smoking]) and 9 outcome questions. (see Appendix) Subjects were then sent the $25.00 grocery card and the control subjects were also sent the same quit materials provided as part of the intervention session at the Salvation Army.

The University of Wisconsin IRB approved this study and data were collected in 2009 – 2010.

Results

Recruitment

As an initial field study, detailed records were not made of the number of people who expressed an interest but were not eligible. Anecdotally, the study was very popular and there were very few people found to be ineligible. No one who was eligible declined to sign the consent form. The study enrolled 245 subjects, 119 control subjects and 126 intervention subjects. One month follow-up was completed on 197 subjects, 80.4%. Very few subjects needed help reading the survey.

Group Equivalence

The participants had an average age of 43.4 and 58.7% were male. The average age of regular smoking onset was 16.6 years. A little more than a third (36.9%) had their first cigarette of the day within 5 minutes of waking. Regarding amount smoked daily, 49.6% smoked between half a pack and a pack and 24.2% smoked more than a pack. There were no differences between the intervention and control group on these variables or on follow-up contact rates. (See Table 1)

Table 1.

Sample Characteristics1

Variable Intervention Control All
Age (mean) 43.3 43.6 43.4
Gender (male) 60.0% 57.3% 58.7%
Age of regular smoking (mean) 16.3 16.8 16.6
Years smoked (mean) 25.5 25.2 25.3
First AM cigarette
  ≤ 5 min. 36.8% 37.0% 36.9%
  6 – 30 min. 44.0% 43.7% 43.9%
  31 – 60 min. 12.8% 10.1% 11.5%
> 60 min. 6.4% 9.2% 7.8%
Daily smoking (%)
  ≤ 10 cigarettes 24.0% 28.6% 26.2%
  11 – 20 cigarettes 47.2% 52.1% 49.6%
  21 – 30 cigarettes 18.4% 16.0% 17.2%
  ≥ 31 cigarettes 10.4% 3.4% 7.0%
Follow-up (%) 79.8% 81.0% 80.4%
1

There were no significant differences between the groups

Duration of Intervention

The median duration of the intervention was 13 minutes, the mean duration was 15.3 minutes and the range was 3 – 37 minutes.

Worksheet

Intervention subjects evaluated the effectiveness of the five quit methods as much higher than the clinical trial research literature suggests about treatment effectiveness (Figure 1).

Figure 1.

Figure 1

Perceived Effectiveness of Various Tobacco Dependence Treatments by Intervention Participants before the Intervention

Impact of the intervention on perceived treatment effectiveness

Intervention participants judged each intervention to be significantly less effective than control subjects both immediately after the intervention and one month later (p<.01) (but still more effective than they were told in feedback on their worksheet answers). There were no changes in perceived effectiveness of the interventions for either group over time except control participants perceived hypnosis as less effective at follow-up (t=2.53, df=94,p=.013) (Figure 2).

Figure 2.

Figure 2

Group Differences Regarding Perceived Treatment Effectiveness after the Intervention and at One Month Follow-up

1All intervention vs. control group differences at both first survey and follow-up survey p<.01; no difference within group, across time except for hypnosis for control participants (p=.013)

Immediate impact of the Intervention

More intervention participants than control participants said they definitely intended to quit (5 point Likert scale from “definitely not” to “definitely will”) in the next six months (32.8% vs. 20.2%, X2=9.83, df=4, p=.043.) The groups did not differ in willingness to set a quit date or to ask for help if a decision to quit were made. The open-ended questions about method of quitting if a decision to quit were made was scored for specific content such as relying only on will power, use of medicines, seeking counseling/coaching, and calling the WTQL. There were no significant differences between the two groups. Unexpectedly, intervention subjects reported that they were significantly less ready to quit than control subjects (5.2 vs. 6.0, respectively, on a 10-point scale from “not at all ready” to “most ready”, t=2.13, df=236, p=.034). Likewise, intervention subjects were not as confident about successful quitting as were control subjects (5.3 vs. 6.2, respectively, on a 10-point scale from “not at all likely” to “very likely”, t=2.57, df=237, p=.01). Of the seven questions about medications, more intervention participants than control participants disagreed that medicines to quit are more expensive than smoking (35.5% vs. 21.2%, respectively X2=6.19, df=2, p=.045). Finally, intervention subjects had a significantly better overall evaluation of the Salvation Army than control subjects (9.2 vs. 8.7, respectively, on a 10-point scale from “worst possible” to “best possible”, t=−2.98, df=236, p=.003.)

Impact of the intervention at follow-up

There were no significant differences in the percent of participants who reported point prevalence abstinence (7.9% for intervention and 3.1% for control) nor in the percent who tried to quit. More intervention participants than control participants reported cutting down a lot (47.5% vs. 29.5%, respectively X2=9.24, df=2, p=.01) vs. cutting down a little (Figure 3). But there were no differences between the groups on variables such as the number of cigarettes smoked in the past 30 days, the number of days on which smoking occurred, making a quit attempt, the number of quit attempts, intention to quit, the amount of thinking about quitting, willingness to set a quit date, and likelihood of asking for help when a decision to quit is made. For those who tried to quit there were no differences between the two groups in method used. As in the first survey, for those participants who had not quit, there groups did not differ in the method that would be chosen if a decision to quit were made. Unlike the survey administered immediately after the intervention, the groups did not differ in readiness to quit or confidence about successful quitting.

Figure 3.

Figure 3

Reduced Smoking Resulting from the Intervention

The intervention did affect some beliefs about the medications. Fewer intervention participants than control participants believed that cessation medications are dangerous (13.9% vs. 33.3%, respectively X2= 12.93 df=2, p=.002), and more intervention participants than control participants believed that such medications lower cravings to smoke (85.1% vs. 74.0%, respectively X2= 3.81 df=1, p=.051).

The intervention had an effect on knowledge about and using the WTQL. More intervention participants reported calling the quit line than control participants (18.2% vs. 7.4%, respectively, X2=4.13, df=1, p=.042); more knew that the WTQL can be called an unlimited number of times (83.8% vs. 64.2%; X2=8.76, df=1, p=.002); that calling is free (90.9% vs.71.6%; X2=10.74, df=1, p=.001); more knew that the WTQL provides both counseling and coaching (97.0% vs. 75.8%; X2=16.96, df=1, p<.001); and more knew that the WTQL provides free medication (78.8% vs. 41.1%; X2=27.28, df=1, p<.0001).

Discussion

The intent of this research was to produce data to inform the development of an effective intervention that could be used in community agencies by paraprofessional personnel and that would increase knowledge of smoking treatment effectiveness, knowledge of treatment resources, use of evidence-based treatment resources, quit attempts, and quitting success. This research was successful in that it suggested directions for the refinement or improvement of the tested intervention. First, the data suggested that the beliefs of the participants could be influenced by the intervention. This encourages the further exploration of such educational-motivational interventions. Second, this research suggests that some sorts of intervention elements were beneficial while others were not.

What seemed to be most helpful was information about the various treatments that were available to them. For instance, the intervention included a very brief discussion of the WTQL and relevant printed material (not mailed to control participants until after the follow-up survey had been completed). Participants who had received this brief discussion and material as part of the intervention knew more about the WTQL. Further, more intervention participants than control participants reported calling the WTQL in the month following the intervention. Thus, not only did the intervention create a more accurate knowledge base about the WTQL, but there was evidence that it increased utilization.

There was also some evidence that the intervention enhanced knowledge regarding cessation medication, even though that was not an intended target of the intervention. In comparison to control participants, those receiving the intervention came to believe that medicines were more affordable, less dangerous, and more effective in reducing cravings. The intervention did inform participants that cessation medication was free via the quit line, and that cessation medications reduce craving (as part of the description of the medications in the pre-intervention worksheet). Willemsen et al., (Willemsen, et al., 2006) similarly speculated that their educational, decision aid intervention had a general motivating effect. Thus, it seems that one important sort of content to incorporate into an educational-motivational intervention is information about available treatments: i.e., their safety, availability, low cost, use strategies, and relative efficacies.

The data also suggest that specific information about level of effectiveness of interventions based on a single cessation attempt, does not spur greater quitting activity. Intervention participants judged all quitting methods to be less effective than did control participants. Further, this effect persisted through the one month follow-up period, suggesting some persistence of the change. Clearly, the absolute effectiveness of quitting methods highlighted in this intervention was very salient to the participants. The provision of discouraging data on levels of effectiveness may be one reason for the little evidence that the educational-motivational intervention affected quitting activity: there were no differences in more specific measures such as number of days smoked and number of quit attempts and may explain why intervention subjects became less ready to quit and less confident that a quit attempt would be successful compared to control subjects.. This suggests that educational-motivational interventions should perhaps stress the relative effects of evidence based treatments (e.g. that cessation medications double or triple a person’s chances of quitting) rather than the absolute levels of effectiveness in a single quit attempt.

Three studies have now found that brief interventions to address beliefs relevant to quitting held by smokers drawn from the general population affected these beliefs (Mooney, et al., 2005; Mooney, et al., 2006; Willemsen, et al., 2006) However there were differences in findings. For example, Willemsen found a positive effect on quit attempts and subsequent six month point prevalence while the current study did not. Differences between the studies make it very difficult to explain the discrepant results. For example, the current study provided information about the absolute effectiveness of quit methods while Willemsen only categorized methods as “effective” or “ineffective”. Also the studies differed in the motivational state of recruited participants (interested in quitting vs. a broader range of motivation) as well as their socio-economic status. Interestingly, despite their recruitment of smokers motivated to quit, both Willemsen and Mooney speculate that interventions such as theirs may have the greatest effect on smokers who have not yet decided to quit or have not yet settled on a particular quitting method. These features fit the vast majority of low income smokers seeking services from community agencies.

Finally, intervention participants held a more favorable overall opinion of the Salvation Army than control participants. This is consistent with the literature (Bryant, et al., 2010; Christiansen, et al., 2010; O'Brien, et al., 2012) and should be reassuring to community agencies concerned about both the high prevalence of tobacco use by their clientele and also that efforts to address their tobacco use would alienate them. Clearly, this latter concern was not supported by the data and community agencies should be encouraged to address this vital health issue.

The results of this study suggest likely elements of a brief tobacco dependence that should be effective for the poor. Such an intervention would include clear information about available treatments – information about how and why they work, their effectiveness, how they can be accessed and the safety and low addiction potential of cessation medications. However, information about treatment effectiveness should be presented in relative rather than absolute terms. Finding that relevant beliefs are quite malleable and persist once changed suggests it might be helpful to add corrective, non-confrontational elements that target beliefs other than beliefs about treatment such as smoking is normative and it’s all right to smoke a little as long as it’s done outside and not around children (Christiansen, et al., 2012; Flint & Novotny, 1997; Stead, MacAskill, MacKintosh, Reece, & Eadie, 2001). It should be possible to address additional beliefs while keeping the intervention brief if the intervention is tailored to each smoker’s particular beliefs.

This study had limitations. Follow-up was for only 1 month. It would be helpful to measure the persistence of intervention effects across a longer period of time. This study relied exclusively on self-report. Objective confirming information, such as reports of contacts from the quit line, should be included in future research. In addition, the intervention was tested against a ‘no treatment’ control group. Future research should include an attention-control condition. Because this study did not include such a control it is possible that the higher evaluations of the Salvation Army by intervention subjects reflected social desirability. Previous research has found that tobacco interventions at least do not impair evaluations of the delivering community agency (Christiansen, Reeder, Hill, Baker, & Fiore, 2012). One strength of the research is the targeted population, one that is little studied but that faces a heightened risk for tobacco use and tobacco related disease. In addition, the follow-up rate is strikingly high for this hard-to-contact population. This may reflect the potency of incentives for this population.

In closing, this research produced some reassuring evidence regarding the feasibility and potential effectiveness of both an educational-motivational intervention for the poor, and the delivery system that was used to provide it. The community agencies and their staffs were not only enthusiastic about delivering the intervention, but the staffs appeared able to learn the intervention easily and deliver it with fidelity. These low-income smokers not only learned, but retained for one-month, information provided by Salvation Army staff and there was evidence that this information affected smoking related behaviors. Specifically, participants in the intervention condition were more likely to report calling the quit line than were the control participants and they also reported greater reductions in their smoking. And, while no significant difference was observed in the 1-month abstinence rate, the intervention condition reported an abstinence rate that was more than double that of the control condition (7.9 vs. 3.1%). These data support the need to further develop and refine the educational-motivational intervention, and to study it in larger groups of participants with an enhanced set of outcome measures.

Acknowledgements

We would like to acknowledge Meg Feyen for her assistance during data collection, Cassandra Donna and Sarah Slomski for their contributions during data analysis and Dr. Wendy Theobald for her assistance in manuscript preparation.

This research was supported by grant UL1TR000427 from the Clinical and Translational Science Award (CTSA) program of the National Center for Advancing Translational Sciences, NIH

Appendix – Survey Items

Question Response Intervention
Survey
Follow-up
Survey
Purpose
Demographic
How old are you? years X Test equivalency of
groups
What is your gender? Male/female X Test equivalency of
groups
Past/current smoking
How old were you when you
FIRST started smoking on a regular
basis?
Years X Test equivalency of
groups
For how many years have you
smoked?
Years X Test equivalency of
groups
On average, how soon after you
wake up in the morning do you
have your first cigarette?
Within 5 min.
6–30 min.
31–60 min.
>60 min.
X Test equivalency of
groups
About how many cigarettes do you
smoke each day?
≤ 10
11–20
21–30
≥31
X Test equivalency of
groups
Future Quitting
Do you think you will try to quit
smoking in the next 6 months?
I definitely will not
I don’t think I will
I might
I will probably
I will definitely
X X Measure intention to
quit
How ready are you to stop smoking
at this time?
1(not at all ready) to
10 (most ready)
X X Measure readiness to
quit
If you tried to stop smoking in the
next six months, how likely is it
that you would be able to?
1 (not at all likely) to
10 (very likely)
X X Measure confidence
about quitting
If you decided to quit smoking, do
you think you would ask for help
from someone?
Definitely not
Probably not
Maybe
Probably yes
Definitely yes
X X Measure willingness to
get help
If you were to be asked right now
to set a date to stop smoking, would
you set a date to stop smoking?
Yes/no X X Measure willingness to
set a quit date
Treatment Effectiveness
If 100 smokers quit using …… how
many would be able to quit:
  will power alone 0 – 100 X X Measure perceived
method effectiveness
  medicine 0 – 100 X X Measure perceived
method effectiveness
  coaching/counseling 0 – 100 X X Measure perceived
method effectiveness
  medicine plus
  coaching/counseling
0 – 100 X X Measure perceived
method effectiveness
  hypnosis 0 – 100 X X Measure perceived
method effectiveness
Medicines
Medicines to help you stop
smoking …
  are dangerous Agree/disagree/
I don’t know
X X Measure perceived
beliefs about quit
medicines
  can be more dangerous than if
  you keep smoking
Agree/disagree/
I don’t know
X X Measure perceived
beliefs about quit
medicines
  are as addicting as tobacco itself Agree/disagree/
I don’t know
X X Measure perceived
beliefs about quit
medicines
  cost more than smoking Agree/disagree/
I don’t know
X X Measure perceived
beliefs about quit
medicines
  are not needed because all
  you need to quit is will power
Agree/disagree/
I don’t know
X X Measure perceived
beliefs about quit
medicines
  will lower your cravings
  to smoke once you quit
Agree/disagree/
I don’t know
X X Measure perceived
beliefs about quit
medicines
To be safe, you should only take
medicines to help you quit for only
a short time – about a week
Agree/disagree/
I don’t know
X X
Wisconsin Tobacco Quit Line (WTQL)
Have you heard of the Wisconsin
Tobacco Quit Line?
Yes/no X Conditional question
for next four questions
How many times can a smoker call
the Wisconsin Tobacco Quit Line?
Number/
I don’t know
X X Measure knowledge of
WTQL
How many times can a smoker call
the Wisconsin Tobacco Quit Line?
Number/
I don’t know
X X Measure knowledge of
WTQL
Will the Wisconsin Tobacco Quit
Line send you free medication to
help you quit?
Yes/no/I don’t know X X Measure knowledge of
WTQL
Do you have to pay the Wisconsin
Tobacco Quit Line when you call
them?
Yes/no/
I don’t know
X X Measure knowledge of
WTQL
Salvation Army Evaluation
The Salvation Army is helping you
get help for your needs. Is it all
right for the Salvation Army to also
ask you about your smoking and
give you advice about that as well?
Definitely not
Probably not
I’m not sure
Probably yes
Definitely yes
X Measure satisfaction
with the Salvation
Army
Is it alright for the Salvation Army
to ask you again about your
smoking and desire to quit at a later
date?
Definitely not
Maybe not
Maybe it’s OK
Definitely it’s OK
X Measure satisfaction
with the Salvation
Army
Question:
The Salvation Army asked if you were a smoker. What do
you think about that? (Select the one statement that best
describes your opinion.)

Response Options:
  1. The Salvation Army should not ask me about my
  smoking, smoking is none of their business.
  2. The Salvation Army should focus on my other needs
  and not my health or smoking
  3. I don’t mind being asked about my smoking by the
  Salvation Army. It’s for my own good.
  4. I’m glad the Salvation Army asked me about my
  smoking. It means they really care about the whole me –
  including my health.
  5. None of the above describe my opinion. What is your
  opinion?______________________________________
  _____________________________________________
  _____________________________________________
X Measure satisfaction
with the Salvation
Army
Will you return to the Salvation
Army for additional services?
Definitely not
Probably not
Probably yes
Definitely yes
X Measure satisfaction
with the Salvation
Army
What is your overall opinion of the
service the Salvation Army has
provided you?
0 (worst possible) to
10 (best possible)
X Measure satisfaction
with the Salvation
Army
Open Ended questions
Please name three reasons why you
should quit smoking.
X X
If you would decide to quit right
now, how would you do it?
X X
Additional Outcomes at Follow-up
Have you smoked any
cigarettes in the last 7 days –
even a puff?
Yes/no X Measure smoking point
prevalence and as
conditional to
following question
Did you try to quit smoking
cigarettes in the last month?
Yes/no X Measure quit attempts
during the follow-up
period
How many times in the past 30
days have you tried to quit?
Number X Measure number of
quit attempts in
follow-up period
How many times did you go
without smoking for at least 24
hours because you were trying
not to smoke?
Number X Measure success of quit
attempts during follow-
up period
I’m going to list ways people use
to quit smoking. Please indicate
all those that you have tried in
the past 30 days.
Yes/no/not sure
to 14 quit methods
X Measure quit methods
used
On how many of the past 30
days did you do no smoking at
all – not even a puff?
Number X Measure number of
smoke free days during
follow-up period
How much have you been
thinking about quitting in the
past 30 days?
Not at all
Just a little bit
Quite a bit
A lot
X Measure thinking about
quitting
Have you called the Wisconsin
Quit Line in the last 30 days?
Yes/no X Measure call to the
WTQL
Did you get any medication to
help you quit in the last 30
days?
Yes/no X Measure receipt of quit
medication

Footnotes

Declaration of Interest: The authors report no conflicts of interest.

Contributor Information

Bruce Christiansen, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, 1930 Monroe St., suite 200, Madison, WI 53711-2059.

Kevin Reeder, Salvation Army of Wisconsin and Upper Michigan, 11315 Watertown Plank Road, PO Box 26019.

Michael C. Fiore, Director, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, 1930 Monroe St., suite 200, Madison, WI 53711-2059.

Timothy B. Baker, Director of Research, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, 1930 Monroe St., suite 200, Madison, WI 53711-2059.

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