Literature DB >> 25888475

Quitting experiences and preferences for a future quit attempt: a study among inpatient smokers.

Dennis Thomas1, Michael J Abramson2, Billie Bonevski3, Simone Taylor4, Susan G Poole5, Gregory R Weeks6, Michael J Dooley5, Johnson George1.   

Abstract

OBJECTIVE: Understanding smokers' quit experiences and their preferences for a future quit attempt may aid in the development of effective cessation treatments. The aims of this study were to measure tobacco use behaviour; previous quit attempts and outcomes; methods used to assist quitting; difficulties experienced during previous attempts; the motives and preferred methods to assist quitting in a future attempt; identify the factors associated with preferences for smoking cessation.
DESIGN: Face-to-face interview using a structured questionnaire.
SETTING: Inpatient wards of three Australian public hospitals. PARTICIPANTS: Hospitalised smokers enrolled in a smoking cessation trial.
RESULTS: Of 600 enrolled patients (42.8% participation rate), 64.3% (n=386) had attempted quitting in the previous 12 months. On a scale of 1 (low) to 10 (high), current motivation to quit smoking was high (median 9; IQR 6.5-10), but confidence was modest (median 5; IQR 3-8). Among 386 participants who reported past quit attempts, 69.9% (n=270) had used at least one cessation aid to assist quitting. Nicotine replacement therapy (NRT) was most commonly stated (222, 57.5%), although the majority had used NRT for <4 weeks. Hypnotherapy was the most common (68, 17.6%) non-pharmacological treatment. Over 80% (n=311) experienced withdrawal symptoms; craving and irritability were commonly reported. Most participants (351, 58.5%) believed medications, especially NRT (322, 53.7%), would assist them to quit in the future. History of previous smoking cessation medication use was the only independent predictor of interest in using medications for a future quit attempt.
CONCLUSIONS: The majority of smokers had attempted quitting in the previous 12 months; NRT was a popular cessation treatment, although it was not used as recommended by most. This suggests a need for assistance in the selection and optimal use of cessation aids for hospitalised smokers. TRIAL REGISTRATION NUMBER: Australian and New Zealand Clinical Trials Registry: ACTRN12612000368831. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  PREVENTIVE MEDICINE; PUBLIC HEALTH

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Year:  2015        PMID: 25888475      PMCID: PMC4401863          DOI: 10.1136/bmjopen-2014-006959

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Previous quitting experiences, and motives and preferences for a future quit attempt were assessed in a large sample of hospitalised smokers from three Australian public hospitals. Findings were based on self-report, which had limited validity and reliability. However, attempts were made to collect the most accurate information using trained research assistants who collected all the data face-to-face using a well-constructed and validated questionnaire. Participants rated highly on the readiness-to-quit ladder, and reported high motivation to quit, which may not be generalisable to all hospitalised patients. The study sample may represent a subset of hospitalised smokers eligible and interested in participating in a smoking cessation clinical trial.

Introduction

Hospitalisation provides an ideal opportunity for smokers to attempt to quit smoking. In Australia, many hospitals have implemented policies where smoking is not permitted indoors or within outdoor boundaries.1 This smoke-free environment gives patients an opportunity to attempt quitting away from their usual environmental smoking cues. At a time of feeling vulnerable regarding their health, patients may be motivated to quit smoking and become more receptive to smoking cessation messages and interventions. There is also substantial evidence to support the effectiveness of hospital-based smoking cessation interventions.2 A cross-sectional study of hospitalised smokers found that many were interested in starting a smoking cessation intervention while in hospital.3 Clinical practice guidelines for treating tobacco use and dependence within the hospital setting recommend the use of evidence-based smoking cessation aids to assist the quitting process.4 Despite the fact that smoking cessation treatments, including counselling,5 nicotine replacement therapy (NRT)6 and other pharmacotherapies7 can significantly improve the odds of quitting, the use of such smoking cessation aids is modest.8 Only 3–5% of unaided quitting attempts are successful at 6 months,9 with smokers often relapsing because of withdrawal symptoms.4 10 Most smokers undertake numerous quit attempts.4 Understanding the process of quitting is important to optimise interventions. Additionally, there is a need to explore smokers’ motives and preferences for methods to assist quitting, as many options and a wide range of products are available.11 Knowledge about previous quitting experiences and preferences for any future quit attempts could guide the selection of an appropriate strategy that is likely to help smokers quit, thus ensuring efficient use of clinicians’ time and limited healthcare resources. The main objective of this study was to explore the quitting experiences and preferences of smokers admitted to Australian public hospitals who volunteered to participate in a trial of a smoking cessation intervention targeting hospitalised smokers. Specifically, the study aimed: (1) to examine: (a) tobacco use behaviour, including previous quit attempts and outcomes; (b) methods used in the past 12 months to assist quitting; (c) self-reported difficulties experienced during previous quit attempts and side effects of pharmacotherapies; (d) the motives and preferred methods to assist quitting in any future quit attempts and (2) to identify the factors associated with preferences for smoking cessation.

Methods

Baseline data were obtained from inpatients who were smokers at the time of hospital admission and enrolled in a randomised controlled trial (RCT) evaluating a smoking cessation intervention for hospitalised patients. Participants were recruited between April 2012 and June 2013 from inpatient wards of three Australian public hospitals in Victoria: The Alfred, Austin Health and Barwon Health. The detailed protocol of the RCT has been published elsewhere.12 Briefly, participants were 18 years of age or older, self-reported current (daily or occasional) smokers at the time of hospital admission, and available for 12 months of follow-up. Patients who were too ill (physically or mentally) to provide written informed consent or participate in the trial, unable to communicate in English, with a terminal illness, pregnant or already receiving active smoking cessation therapy at the time of hospital admission were excluded. Potential participants were identified by active screening of hospital notes by a trained research assistant (RA) employed at each hospital. Pharmacists and other ward staff were informed about the research project and asked to refer all patients identified as current smokers, either from hospital records or from discussions with patients or other staff. The RA confirmed smoking status, assessed eligibility to participate, and provided a plain language statement describing the project to each potential participant. Written informed consent was obtained before proceeding with data collection. All information was collected face-to-face by the RA, using a pretested structured data collection form which incorporated validated scales. Data on comorbid conditions were extracted from hospital records. Age, sex, nicotine dependence and reason for non-participation were collected from non-consenting patients.

Survey instruments

Data were collected using a 32-item questionnaire. Items relevant to this study are as follows.

Sociodemographic characteristics and comorbid conditions

Sex, age, country of birth, education, employment and marital status, and current living arrangement were collected. Comorbid conditions were assessed using Charlson's comorbidity index,13 in which a weighted score was assigned to each of the 19 clinical conditions based on the relative risk of 1-year mortality. Higher scores indicated greater risk of death from comorbid conditions. The reason for hospital admission was obtained from the participants. The number of medications (both regular and as needed) at the time of hospital admission was collected from hospital records.

Tobacco use and quitting behaviours

Smoking status at the time of hospital admission (daily or occasional smoker) and age at which smoking was started were assessed. Previous quit attempts were determined by asking: ‘Have you quit smoking for at least 1 day in the past 12 months?’ If yes, the number of serious quit attempts (defined as smoke-free for at least 24 h) in the past 12 months and the number of days smoke-free on the most recent quit attempt were assessed. Additionally, smoking habits of friends and housemates were explored. Nicotine dependence was measured using the two-item Heaviness of Smoking Index (HSI), which assessed time to first cigarette after waking and number of cigarettes per day.14 The scores range from 0 to 6 with a score of 3 or less indicating ‘light smokers’, and 4 or more indicating ‘heavy smokers’. Stage of change was assessed using the readiness-to-quit ladder with 10 response options.15 The stages were summarised as ‘precontemplation’—not interested in quitting smoking in 6 months; ‘contemplation’—interested in quitting in 6 months; ‘preparation’—interested in quitting in 1 month or already made changes in smoking habits; ‘action’—already quit smoking. Situational temptation to smoke was assessed using the nine-item smoking self-efficacy scale.16 Each situation was answered on a five-point Likert-type scale ranging from ‘not at all tempted’ to ‘extremely tempted’ to smoke, with scores ranging from 9 to 45. Higher scores indicated greater smoking temptation. Motivation to give up smoking was captured using a 10-point visual analogue scale (VAS)17 with 1 being ‘very low’ and 10 being ‘very high’. Confidence in a participant's own ability to quit smoking was also measured using a 10-point VAS,17 with 1 being ‘very low’ and 10 being ‘very high’.

Difficulties experienced during the past quit attempts

Participants were asked ‘Have you experienced any difficulties during your past quit attempt?’ If yes, they could choose one or more from the following options: increased appetite, poor concentration, urges to smoke, irritability or aggression, depression, mouth ulcers, restlessness, nighttime awaking and others. Participants were asked about any side effects from any of the smoking cessation medications they had used during past quit attempts. These questions were asked of only those who had attempted quitting in the previous 12 months.

Methods used for cessation

Participants were asked ‘Have you used anything to assist quitting in the past?’ If yes, specify, and the following options were listed: NRT, bupropion, varenicline, acupuncture, counselling, DVD or books, hypnotherapy, online programme, Quitline, quit smoking group and other. Use of different forms of NRT (patch, gum, lozenge, mini/microtab and inhaler) and dosage were also measured. These questions were only asked of those who had attempted to quit in the previous 12 months.

Motives and preferences for a future quit attempt

This was assessed by asking ‘Which of the following would motivate/assist you to quit smoking?’ with the following options listed: acupuncture, counselling, cash incentive, hypnotherapy, increasing prices of cigarettes, information on the amount of nicotine in your body, medication (bupropion, varenicline or NRT), plain packaging of cigarettes, personal contact with a healthcare professional, Quitline, smoking cessation groups and others. The preferred form of medication was assessed using the question ‘If you had a choice of treatment to assist you to quit smoking, which form of medication would you prefer?’ with the following options listed: tablet, sublingual tablet, patch, chewing gum, lozenge, inhaler, e-cigarette, unsure, ‘I am not interested in medications’ and other. Participants were also asked about the preferred strategy to quit smoking: ‘If you decided to give up smoking now, which strategy would you adopt?’ the options were: I am not thinking of quitting, I want to reduce gradually; ‘cold turkey’, I want to quit with the help of medicines, or other.

Data analysis

All analyses were conducted using the Statistical Package for Social Sciences (SPSS) (V.20.0; IBM, Armonk, New York, USA). The sociodemographic characteristics, tobacco use behaviour, methods used to assist in previous quit attempts, difficulties experienced, and motives and preferences for a future quit attempt were analysed descriptively and presented as mean (±SD) or median (IQR) or number (%) based on type and distribution of data. The demographic characteristics (age, sex, employment status, marital status, living arrangements, living with a smoker, having a smoker as a friend) of those who had tried quitting were compared with their counterparts, using χ2 or Student t test. The age, sex and nicotine dependence of participants were compared with non-participants using χ2 or t tests. A logistic regression model was used to test the associations between participant characteristics (age, sex, education level, number of medications on admission, nicotine dependence, Charlson's index score, motivation to quit smoking, previous quitting failures, previous use of smoking cessation medications and experience of withdrawal symptoms during a previous quit attempt) and interest in using medications for a future quit attempt. All these variables were tested in univariable analyses first, and potential variables (p<0.1) were entered into a multivariable model to test their independent associations. A higher α level (10%) was used in univariable analyses to identify all potential confounding variables. Preferences for a future quit attempt of various subgroups stratified by sex, age, nicotine dependence were tested using χ2 test. A p value <0.05 was considered statistically significant.

Results

The mean participation rate in the RCT was 42.8% across the three sites (participation rates at the individual hospitals ranged from 35.4% to 49.6%) giving a final sample size of 600 participants (figure 1). Non-participants were more likely to be light smokers (72.0% vs 52.7%, p<0.001) and slightly older (53.1±16.7 vs 51.0±14.1 years, p=0.012) than participants. The demographic characteristics of the study participants are presented in table 1.
Figure 1

Diagram outlining patient recruitment.

Table 1

Demographic characteristics of the study participants

 Number (%) or mean (±SD)
Hospital 1 (n=200)Hospital 2 (n=200)Hospital 3 (n=200)Overall (n=600)
Age, mean (±SD) years49.6 (±14.4)52.3 (±14.0)51.14 (±13.8)51.0 (±14.1)
Sex, male142 (71.0%)122 (61.0%)120 (60.0%)384 (64.0%)
Born in Australia148 (74.0%)162 (81.0%)171 (85.5%)481 (80.2%)
Mainly speaks English at home183 (91.5%)191 (95.5%)196 (98.0%)570 (95.0%)
Education
 Primary school or below6 (3.0%)9 (4.5%)8 (4.0%)23 (3.8%)
 Secondary school108 (54.0%)120 (60.0%)136 (68.0%)364 (60.7%)
 Technical or further education47 (23.5%)30 (15.0%)40 (20.0%)117 (19.5%)
 University39 (19.5%)41 (20.5%)16 (8.0%)96 (16.0%)
Employment status
 Employed–full/part time94 (47.0%)92 (46.0%)92 (46.0%)278 (46.3%)
 Retired/pensioner48 (24.0%)50 (25.0%)49 (24.5%)147 (24.5%)
 Unemployed/home duties/student35 (17.5%)41 (20.5%)24 (12.0%)100 (16.7%)
 Disabled/unable to work23 (11.5%)17 (8.5%)35 (17.5%)75 (12.5%)
Marital status
 Married/de-facto/engaged78 (39.0%)89 (44.5%)97 (48.5%)264 (44.0%)
 Never married/single62 (31.0%)44 (22.0%)28 (14.0%)134 (22.3%)
 Separated/divorced/widowed60 (30.0%)67 (33.5%)75 (37.5%)202 (33.7%)
Current living arrangements
 Family household111 (55.5%)148 (74.0%)140 (70.0%)399 (66.5%)
 Single-person household66 (33.0%)41 (20.5%)48 (24.0%)155 (25.8%)
 Group household21 (10.5%)8 (4.0%)8 (4.0%)37 (6.2%)
 Residential facility2 (1.0%)3 (1.5%)4 (2.0%)9 (1.5%)
Demographic characteristics of the study participants Diagram outlining patient recruitment. The common reasons for hospital admission self-reported by participants were disorders of the circulatory system (135, 22.5%), musculoskeletal system and connective tissue (97, 16.2%), respiratory system (75, 12.5%), digestive system (67, 11.2%) and nervous system (65, 10.8%). The median Charlson's index score was 1 (IQR 0–2) and the median number of medications used at the time of hospital admission was 4 (IQR 1–7).

Tobacco use and quitting behaviour

Tobacco use behaviours are outlined in table 2. The majority of participants were daily smokers and the median age at which smoking was started was 15 (IQR 13–18) years. Three-quarters of participants were either in the ‘preparation’ or ‘action stage’ on the readiness-to-quit ladder. Motivation to quit smoking was high (median 9; IQR 6.5–10), although confidence was modest (median 5; IQR 3–8). The mean self-efficacy score, evaluating temptation to smoke, was 33.03 (±7.86).
Table 2

Tobacco use behaviour (n=600)

Tobacco use behaviourNumber (%) or Median (IQR)
Daily smokers575 (95.8)
Heavy smokers (HSI ≥3)284 (47.3)
Number of years of smoking, median (IQR)35 (24–45)
Have a smoker as friend519 (86.5)
Lives with a smoker236 (39.3)
Position on readiness-to-quit ladder
 Pre-contemplation103 (17.2)
 Contemplation40 (6.7)
 Preparation338 (56.3)
 Action*117 (19.5)
Current motivation to give up smoking, Median (IQR)9 (6.5–10)
Current confidence in giving up smoking, Median (IQR)§5 (3–8)

*Participants began their quit period once admitted to hospital.

†Have missing values two participants.

‡Have missing values five participants.

§Have missing values six participants.

HSI, Heaviness of Smoking Index.

Tobacco use behaviour (n=600) *Participants began their quit period once admitted to hospital. †Have missing values two participants. ‡Have missing values five participants. §Have missing values six participants. HSI, Heaviness of Smoking Index. Almost two-thirds (386, 64.3%) of participants had tried quitting at least once during the previous 12 months; 43.2% reported multiple quit attempts. The median number of serious quit attempts (abstinent for 24 h or longer) in the previous 12 months was 2 (IQR 1–4) and the median number of days smoke-free on the most recent attempt was 4 (IQR 2–14). There were no statistically significant differences between the characteristics of those who had at least one quit attempt and those who did not.

Difficulties experienced during quit attempts in the past 12 months

Of the 386 participants who tried quitting in the previous 12 months, 80.6% (n=311) reported experiencing at least one difficulty or withdrawal symptom during their quit attempts; 67.1% (n=259) reported having multiple difficulties. Self-reported difficulties are detailed in table 3. Among the users of NRT, varenicline or bupropion (n=249), more than half (141, 56.6%) had experienced side effects.
Table 3

Difficulties experienced during past quit attempts (n=386)

Number (%)
Number of participants experiencing difficulties*311 (80.6)
 Urge to smoke229 (59.3)
 Irritability/aggression201 (52.1)
 Restlessness183 (47.4)
 Increased appetite155 (40.2)
 Nighttime awakenings126 (32.6)
 Depression101 (26.2)
 Poor concentration91 (23.6)
 Mouth ulcers23 (6.0)
 Anxiety7 (1.8)
 Weight gain5 (1.3)
 Night sweats3 (0.8)
 Others24 (6.3)

*Some experienced more than one difficulty.

Difficulties experienced during past quit attempts (n=386) *Some experienced more than one difficulty.

Methods used to quit smoking

Of those who tried quitting in the previous 12 months (n=386), 69.9% had used at least one method (either pharmacological or non-pharmacological support) to assist their quit attempts. More than half (57.5%) had tried at least one form of NRT; one in five participants (20.0%) had tried different forms of NRT. Almost one-third (29.3%) had used prescription smoking cessation medications (varenicline or bupropion) to assist quitting; varenicline was the most frequently used (24.4%). Hypnotherapy (17.6%) was the most commonly tried non-pharmacological method, followed by contacting Quitline (13.2%). Among users of NRT (n=222), patches were the most used form. Of the 75 participants who provided information about the duration of NRT usage (nicotine patch), over 80% (n=61) used them for less than 4 weeks, and 56% (n=42) reported using them for 1 week or less. Only 14.7% (n=11) used NRT for the recommended duration of 8 weeks or more. Different methods used to assist quitting are presented in table 4.
Table 4

Methods used for quitting in the previous 12 months (n=386)

Method used*Number (%)
Nicotine replacement therapy222 (57.5)
 Patch196 (50.8)
 Gum75 (19.4)
 Lozenge27 (7.0)
 Inhaler24 (6.2)
 Sublingual tablet19 (4.9)
Prescription medication113 (29.3)
 Varenicline94 (24.4)
 Bupropion31 (8.0)
Non-pharmacological treatment 
 Hypnotherapy68 (17.6)
 Quitline51 (13.2)
 Acupuncture22 (5.7)
 Counselling18 (4.7)
 e-cigarette17 (4.4)
 DVD or books15 (3.9)
 Online programme7 (1.8)
 Quit smoking group7 (1.8)
 Other methods16 (4.1)

*Some participants used more than one method in their past quit attempts.

Methods used for quitting in the previous 12 months (n=386) *Some participants used more than one method in their past quit attempts.

Motives and preferences for a future quit attempt

More than half the participants (58.5%) believed that medication would assist them to quit; the most cited medication was NRT (table 5). Nearly half the participants were interested in cash incentives. Hypnotherapy and acupuncture were also popular options.
Table 5

Motives and preferences for a future quit attempt (n=600)*

Number (%)
Medication351 (58.5)
 Nicotine replacement therapy322 (53.7)
 Varenicline186 (31.0)
 Bupropion159 (26.5)
Cash incentive268 (44.7)
Hypnotherapy251 (41.8)
Personal contact with healthcare provider207 (34.5)
Acupuncture179 (29.8)
Increasing prices of cigarettes169 (28.2)
Counselling159 (26.5)
Information on amount of nicotine in body158 (26.3)
Smoking cessation group123 (20.5)
Quitline110 (18.3)
Health benefit74 (12.3)
Plain packaging of cigarettes41 (6.8)
Others73 (12.2)

Some participants reported multiple motives/preferences for a future quit attempt.

*Data missing for two participants.

Motives and preferences for a future quit attempt (n=600)* Some participants reported multiple motives/preferences for a future quit attempt. *Data missing for two participants. Almost two-thirds of past NRT users and 42% of non-NRT medication (bupropion, varenicline) users were interested in reusing those medications in their future quit attempts. Previous quitting failures, number of medications on admission, Charlson's index score or current motivation to quit smoking were not associated with interest in using smoking cessation medications for a future quit attempt (data not shown). Likewise, age, sex and previous withdrawal symptoms were not associated with preferences in using medications for a future quit attempt. Interest in using medications for a future quit attempt of various subgroups is presented in table 6. In a multivariable model, only previous use of smoking cessation medication (OR 2.21; CI 1.43 to 3.42; p<0.001) was independently associated with interest in using medications for a future quit attempt.
Table 6

Interest in use of medications* for a future quit attempt by subgroups (univariable results)

InterestedNot-interestedp ValueOR (95% CI)
Sex
 Female133 (61.6%)83 (38.4%) 
 Male218 (56.8%)166 (43.2%)0.2010.80 (0.57 to 1.13)
Age (years)
 ≤51178 (59.1%)123 (40.9%) 
 >51173 (57.9%)126 (42.1%)0.7510.95 (0.69 to 1.31)
Nicotine dependence
 Light smokers173 (54.7%)143 (45.3%) 
 Heavy smokers178 (62.7%)106 (37.3%)0.0491.39 (1.001 to 1.93)
Education
 No education or below year 12241 (62.3%)146 (37.7%) 
 Above year 12 or technical education110 (51.6%)103 (48.4%)0.0120.65 (0.46 to 0.91)
Previous use of medication
 No191 (54.4%)160 (66.4%) 
 Yes160 (64.3%)89 (45.6%)0.0161.51 (1.08 to 2.10)
Previous withdrawal symptoms
 No34 (47.9%)37 (52.1%) 
 Yes183 (58.8%)128 (41.2%)0.0941.56 (0.93 to 2.61)

*Nicotine replacement therapy, bupropion or varenicline.

Interest in use of medications* for a future quit attempt by subgroups (univariable results) *Nicotine replacement therapy, bupropion or varenicline. Significantly higher proportions of women compared with men reported interest in using hypnotherapy (48.1% vs 38.5%, p=0.023), acupuncture (35.0% vs 27.1%, p=0.042), Quitline (25.2% vs 14.6%, p=0.001), and having personal contact with a healthcare provider (40.7% vs 31.3%, p=0.02) for a future quit attempt. Likewise, a higher proportion of younger smokers (≤51 years) compared with older smokers (>51 years) were interested in hypnotherapy (48.3% vs 35.6%, p=0.002), acupuncture (36.7% vs 23.2%, p<0.001), and cash incentives (51.7% vs 37.9%, p=0.001) for a future quit attempt. The most widely selected strategy to give up smoking was ‘quit with the help of medicines’ (49.5%), followed by ‘cold turkey’ (33.5%), and ‘reduce gradually’ (13.3%). Nicotine patches (54.2%) were the preferred form to assist quitting, followed by tablets (45.0%), inhalers (40.8%), lozenges (34.7%), electronic ‘cigarettes’ (e-cigarette) (32.3%), chewing gum (27.0%) and sublingual tablets (23.0%).

Discussion

This paper describes the baseline characteristics of a diverse sample of hospitalised smokers enrolled in a multicentre RCT of a smoking cessation intervention. Almost two-thirds of our study population were male. The majority of participants had high motivation to quit, despite failing in their past quit attempts, and experiencing various withdrawal symptoms. Most smokers in this study were interested in using some form of smoking cessation support in a future quit attempt. Previous use of smoking cessation medication use was the only factor independently associated with interest in using medications for a future quit attempt. Hospitalisation is an ideal opportunity for health professionals to assist people to quit smoking. Previous studies have reported high motivation among inpatients to quit smoking.3 18 These motivated smokers may be more receptive to smoking cessation messages and more likely to quit than their counterparts. A hospitalised smoker will be under the care of multiple health professionals who could provide quitting assistance. According to a survey of past smokers, being asked about smoking by two or more types of health professionals substantially increased the odds of quitting and readiness to quit.19 When patients are in hospital, health professionals can make use of the opportunity to offer pharmacotherapy and/or non-pharmacotherapy cessation modalities. The smoke-free policies of hospitals should include cessation support to every patient. Smoking cessation support services should be included in the designated duties of health professionals. More than half of our participants wanted to try medications in their future attempts to quit. This included past users of NRT and non-NRT medications. A previous study conducted in emergency departments also reported similar magnitude of interest in medications to assist in future quit attempts.20 However, one-third of our study participants wanted to quit ‘cold turkey’, without any aids. Although two-thirds to three-quarters of ex-smokers eventually stop unaided, this is associated with some of the lowest success rates.9 21 The clinical practice guidelines for treating tobacco use and dependence recommend offering counselling and medication to all smokers willing to quit, as this combination can double the chances of quitting.4 Even though many of our study participants had used medications during their previous quit attempts, only a few used them for the recommended duration. Moreover, the majority experienced difficulties or withdrawal symptoms during their past quit attempts, and more than half experienced side effects from medications. Consistent with a previous report,22 most participants reported relapsing within 1 week of their most recent quit attempt. These highlight the importance of coupling pharmacotherapy with counselling and behavioural strategies for dealing with withdrawal symptoms. Within the hospital setting, behavioural counselling could be offered opportunistically by health professionals, trained smoking cessation counsellors, or through referral to other services such as the telephone Quitline. Patients can also be closely monitored for any side effects from smoking cessation medications. Complementary and alternative therapies such as hypnotherapy and acupuncture are yet to prove their efficacy23 24 in smoking cessation, but were popular smoking cessation methods especially among women and younger participants. Almost 18% of participants reported using hypnotherapy in the past, and 42% were interested to use it in their future quit attempts. There is insufficient evidence to recommend hypnotherapy as a smoking cessation treatment.23 Similarly only a small proportion had used acupuncture in past attempts, but a larger proportion was interested to use this in their future quit attempts. The effectiveness of acupuncture is inconclusive and likely to be less than nicotine gum.24 Despite the proven effectiveness of brief-intensive counselling,5 only about one-quarter of participants were interested in counselling. A substantial proportion of participants were interested in personal contact with healthcare providers, information about the amount of nicotine in the body, and joining smoking cessation groups. The benefits of evidence-based treatments need to be reinforced to patients. Interest in the use of e-cigarettes to help the quitting process is increasing.25 Although less than 5% of our sample reported using e-cigarettes in their previous quit attempts, almost one-third reported an interest in using e-cigarettes in their future attempts. A recent study comparing the effectiveness of e-cigarettes and nicotine patches found similar abstinence rates at 6 months.26 However, the role of e-cigarettes in tobacco control is uncertain, especially in countries such as Australia where retailing of e-cigarettes is prohibited.27 In the UK and European Union, their use is being regulated28 partly due to an increase in their uptake among non-smoking adolescents.29 Long-term safety data are still emerging. Further evidence is required before promoting e-cigarettes for smoking cessation. Many participants believed that increasing the price of cigarettes would motivate them to quit. Increasing prices is recognised as the most effective way to control tobacco consumption.30 In Europe, a 5–7% decrease of cigarette consumption was observed with a 10% increase in the price of cigarettes.31 Similar trends have been observed in Australia32 and the USA.33 Nearly half of the smokers were interested in cash incentives. Even though a large RCT confirmed the long-term effectiveness of incentives in smoking cessation,34 more research is required before its adoption into routine clinical practice, as these interventions may work only in certain situations.35 Findings from our study suggest that smokers have different preferences, and many of them are interested in assistance with their future quit attempts. Individually tailoring interventions to match smokers’ needs and preferences may enhance treatment outcomes.11 Healthcare providers should consider the experiences of smokers in past quit attempts, discuss available options to assist quitting, and consider patient preferences before recommending a therapy. There is a clear need for patient education regarding evidence-based treatments, and the implications of using unproven treatments should also be explained. To the best of our knowledge, this is the first, large-scale, multicentre study assessing previous quitting experiences, and motives and preferences for a future quit attempt among hospitalised smokers. However, the study has some limitations. These results should be interpreted with some caution as the study participation rate was less than 50% and the sample may not represent all hospitalised smokers. Smokers with acute psychiatric conditions, or who were critically ill, were excluded from the study. The rate of self-reported quit attempts in the previous 12 months in our cohort was more than double the national average of 29%.36 This may be due to participation bias, as the study sample might have had a greater interest in quitting. Our participants rated highly on the readiness-to-quit ladder, and reported high motivation to quit. Also, many of them were admitted for cardiorespiratory disorders for which smoking is a major risk factor, which may have increased their motivation to quit. Of the 802 patients who declined to participate in the study, 284 declined because they were not interested in quitting, suggesting low motivation among these patients. Our results, therefore, may not be generalisable to smokers disinterested in quitting. However, interest in quitting was not an eligibility criterion for our study. Moreover, 103 of the 600 participants were in the precontemplation stage and had not yet decided whether they wanted to quit smoking. It is also possible that there was a degree of social desirability bias among participants given all the data were collected by self-report. Inaccuracies in some measures may also have occurred due to recall bias. However, data were collected by trained research assistants who were not involved in the care of participants, and attempts were made to use well-constructed and validated self-report items.

Conclusion

The majority of hospitalised smokers had attempted quitting in the previous 12 months. NRT was a popular cessation treatment prior to hospitalisation, although it was frequently not used as recommended. High motivation, but modest confidence to quit among smokers and a history of withdrawal symptoms and side effects from smoking cessation medications during past quit attempts, suggests the need for greater support for hospitalised smokers interested in quitting. This reinforces the importance of appropriate use of smoking cessation aids and assistance from suitably trained health professionals at the time of initiating smoking cessation medications and in their ongoing monitoring. Screening the smoking status of all patients, initiation of appropriate smoking cessation intervention and adequate postdischarge follow-up should be integrated into routine clinical practice at hospitals implementing a ‘smoke-free’ policy.
  28 in total

1.  Helping smokers make decisions: the enhancement of brief intervention for general medical practice.

Authors:  S Rollnick; C C Butler; N Stott
Journal:  Patient Educ Couns       Date:  1997-07

2.  Quitting smoking among adults--United States, 2001-2010.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2011-11-11       Impact factor: 17.586

3.  The reliability and predictive validity of the Heaviness of Smoking Index and its two components: findings from the International Tobacco Control Four Country study.

Authors:  R Borland; H-H Yong; R J O'Connor; A Hyland; M E Thompson
Journal:  Nicotine Tob Res       Date:  2010-10       Impact factor: 4.244

Review 4.  Hypnotherapy for smoking cessation.

Authors:  Jo Barnes; Christine Y Dong; Hayden McRobbie; Natalie Walker; Monaz Mehta; Lindsay F Stead
Journal:  Cochrane Database Syst Rev       Date:  2010-10-06

5.  A randomized, controlled trial of financial incentives for smoking cessation.

Authors:  Kevin G Volpp; Andrea B Troxel; Mark V Pauly; Henry A Glick; Andrea Puig; David A Asch; Robert Galvin; Jingsan Zhu; Fei Wan; Jill DeGuzman; Elizabeth Corbett; Janet Weiner; Janet Audrain-McGovern
Journal:  N Engl J Med       Date:  2009-02-12       Impact factor: 91.245

Review 6.  Competitions and incentives for smoking cessation.

Authors:  Kate Cahill; Rafael Perera
Journal:  Cochrane Database Syst Rev       Date:  2011-04-13

7.  Australian smokers' and recent quitters' responses to the increasing price of cigarettes in the context of a tobacco tax increase.

Authors:  Sally M Dunlop; Donna Perez; Trish Cotter
Journal:  Addiction       Date:  2011-07-22       Impact factor: 6.526

8.  Evaluation of a hospital-based tobacco treatment service: outcomes and lessons learned.

Authors:  Babalola Faseru; Margaret Turner; Genevieve Casey; Christopher Ruder; Christie A Befort; Edward F Ellerbeck; Kimber P Richter
Journal:  J Hosp Med       Date:  2010-11-24       Impact factor: 2.960

Review 9.  Tailoring nicotine replacement therapy: rationale and potential approaches.

Authors:  Jennifer B McClure; Gary E Swan
Journal:  CNS Drugs       Date:  2006       Impact factor: 5.749

10.  The global research neglect of unassisted smoking cessation: causes and consequences.

Authors:  Simon Chapman; Ross MacKenzie
Journal:  PLoS Med       Date:  2010-02-09       Impact factor: 11.069

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  7 in total

1.  Hypnotherapy for smoking cessation.

Authors:  Joanne Barnes; Hayden McRobbie; Christine Y Dong; Natalie Walker; Jamie Hartmann-Boyce
Journal:  Cochrane Database Syst Rev       Date:  2019-06-14

2.  Electronic Cigarettes and Smoking Cessation in the Perioperative Period of Cardiothoracic Surgery: Views of Australian Clinicians.

Authors:  Nia A Luxton; Patti Shih; Muhammad Aziz Rahman
Journal:  Int J Environ Res Public Health       Date:  2018-11-07       Impact factor: 3.390

3.  Willingness-to-try various tobacco cessation methods among US adult cigarette smokers.

Authors:  Chineme Enyioha; Clare Meernik; Leah Ranney; Adam O Goldstein; Kathryn Sellman; Christine E Kistler
Journal:  Tob Prev Cessat       Date:  2019-05

4.  Smoking cessation after hospitalization for myocardial infarction or cardiac surgery: Assessing patient interest, confidence, and physician prescribing practices.

Authors:  Hayden Riley; Nitesh Ainani; Ahmad Turk; Samuel Headley; Heidi Szalai; Mihaela Stefan; Peter K Lindenauer; Quinn R Pack
Journal:  Clin Cardiol       Date:  2019-10-24       Impact factor: 2.882

Review 5.  Smokers' and Non-Smokers' Attitudes towards Smoking Cessation in Saudi Arabia: A Systematic Review.

Authors:  Mansour Tobaiqy; Dennis Thomas; Andrew MacLure; Katie MacLure
Journal:  Int J Environ Res Public Health       Date:  2020-11-06       Impact factor: 3.390

6.  Smoking and finances: baseline characteristics of low income daily smokers in the FISCALS cohort.

Authors:  Kristy A Martire; Philip Clare; Ryan J Courtney; Billie Bonevski; Veronica Boland; Ron Borland; Christopher M Doran; Michael Farrell; Wayne Hall; Jaimi M Iredale; Mohammad Siahpush; Richard P Mattick
Journal:  Int J Equity Health       Date:  2017-08-30

7.  Is dual use of nicotine products and cigarettes associated with smoking reduction and cessation behaviours? A prospective study in England.

Authors:  Sarah E Jackson; Emma Farrow; Jamie Brown; Lion Shahab
Journal:  BMJ Open       Date:  2020-03-15       Impact factor: 2.692

  7 in total

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