Smoking Cessation
C L I N I C A L I S S U E S
Smoking cessation and serious mental illness: a service evaluation of a
drop-in stop smoking clinic on an acute in-patient unit
Debbie Robson, Fiona Cole, Sally Jalasi, Bhimla Boojharut, Sharon Smith, Sibi Thompson, Martin Jones
and Mark Haddad
Aims and objectives. To evaluate the effect of a stop smoking clinic on the quit rates of patients admitted to an acute in-patient unit.
Background. The relationship between poor physical health and severe mental illness is well established. High rates of smoking
appear to play an important causal role in the excess morbidity and mortality in this population. Stop smoking interventions for the
general population are clinically effective and cost-effective. There is a small but promising evidence base for effective interventions
to help people with a mental illness who wish to stop smoking but these have mostly been tested with community patients rather
than acute in-patients.
Methods. A service evaluation of a drop-in stop smoking clinic on an acute mental health in-patient unit was conducted. Patients’
smoking status was measured at baseline and four weeks after their quit date using patient self-report and an expired breath carbon
monoxide reading.
Results. Over a six-month evaluation period, 46 patients set a quit date and 13 (28Æ3%) were abstinent at the four-week follow-up
stage, verified by a carbon monoxide reading (v2 = 33, df = 1, sig p < 0Æ0001).
Conclusions. This small-scale evaluation has shown a drop-in stop smoking intervention to be feasible, acceptable and associated
with positive outcomes; further research with larger, more representative samples is required.
Relevance to clinical practice. Enforcing smoke-free legislation is a contentious issue on mental health in-patient units, and there is
a paucity of research to guide nursing practice in this area. An admission period in a smoke-free environment provides a crucial
opportunity to offer smoking cessation treatment. With appropriate resources, expertise and support, it appears possible to apply
smoking cessation interventions that are successful within the general population to mental health patients during an acute
admission.
Key words: acute inpatient, mental health, smoking cessation
Accepted for publication: 15 April 2012
Authors: Debbie Robson, RMN, BSc, MSc, Research Nurse and
Tutor, Section of Mental Health Nursing, Institute of Psychiatry,
King’s College London, London and Honorary Nurse Consultant,
Surrey and Borders Partnership Trust, Surrey; Fiona Cole, RSW
CQSW ASW, Social Work Tutor, Brunel University, Middlesex; Sally
Jalasi, RMN, Staff Nurse, Surrey and Borders Partnership Trust,
Abraham Cowley Unit, Surrey; Bhimla Boojharut, Health Care
Assistant, Surrey and Borders Partnership Trust, Abraham Cowley
Unit, Surrey; Sharon Smith, Occupational Therapy Technician,
Surrey and Borders Partnership Trust, Abraham Cowley Unit,
Surrey; Sibi Thompson, RN, Ward Manager, Surrey and Borders
Partnership Trust, Abraham Cowley Unit, Surrey; Martin Jones,
RMN, PhD, Deputy Director of Nursing Trust, Barnet, Enfield &
Haringey Mental Health Trust, Trust Headquarters, St Ann’s
Hospital, London; Mark Haddad, RMN, RGN, PhD, Senior
Lecturer, School of Health Sciences, City University, London, UK
Correspondence: Debbie Robson, Research Nurse and Tutor, Section
of Mental Health Nursing, Institute of Psychiatry, King’s College
London, London, UK and Honorary Nurse Consultant, Surrey and
Borders Partnership Trust, Surrey, UK. Telephone: +44
0207848 0139.
E-mail: [email protected]
� 2012 Blackwell Publishing Ltd Journal of Clinical Nursing, 22, 405–413, doi: 10.1111/j.1365-2702.2012.04222.x 405
Introduction
The relationship between poor physical health and severe
mental illness (SMI) such as schizophrenia and bipolar
disorder is well established. People with SMI frequently have
coexisting long-term medical conditions, such as chronic
respiratory disease, cardiovascular disease and type 2 diabe-
tes (Osborn et al. 2007, 2008), and it has been estimated that
the life expectancy of people with SMI is reduced by
10–25 years (Newman & Bland 1991, Parks et al. 2006,
Chang et al. 2011). High rates of smoking appear to play an
important causal role in the excess morbidity and mortality in
people with SMI (Brown et al. 2000). The risk of many
diseases, in particular respiratory, cardiovascular disease and
some cancers in people with SMI could therefore be reduced
by providing appropriate smoking cessation support (Cam-
pion et al. 2008).
Background
Despite a steady reduction in the prevalence of smoking over
the past 50 years in the United Kingdom (UK) and other
industrialised nations, tobacco use remains the single greatest
cause of preventable illness and premature death in the world
(WHO 2009). Approximately 21% of the UK population are
current smokers (Health and Social Care Information Centre,
2010), which is similar to the current rates in the USA and
Australia (Centres for Disease Control and Prevention 2009,
McCarthy et al. 2010). The prevalence of daily smoking for
patients with major depression, bipolar disorder and schizo-
phrenia is estimated to be 57, 66 and 74%, respectively (Diaz
et al. 2009). The highest levels of smoking occur within
psychiatric in-patient settings. In a meta-analysis of 42
studies investigating the prevalence of smoking in people
with schizophrenia, 68% of in-patients were smokers com-
pared to 57% of community patients (de Leon & Diaz 2005).
People with SMI are likely to be heavier smokers (Kumari &
Postma 2005) and those who smoke are more likely to
experience more severe psychotic symptoms and have poorer
outcomes compared to non-smokers (Aguila et al. 2005).
National epidemiological survey findings indicate that
approximately 43% of cigarette smoking is by people with
a mental illness (Lasser et al. 2000, McManus et al. 2010).
Unlike in the general population, smoking prevalence is not
declining in the SMI population, exposing people with SMI
who smoke to additional health inequalities and social
exclusion.
Reducing rates of smoking in the general population has
been a longstanding public health goal, and there is consistent
evidence that providing dedicated services to help smokers
quit is both clinically effective and cost-effective (Raw et al.
2005). Primary Care Trusts (PCTs) in England are respon-
sible for providing smoking cessation services for people who
want to quit. Standard National Health Service (NHS) care
includes approximately 6 sessions of behavioural support and
pharmacotherapy based on a withdrawal orientated model
and emphasises the importance of complete abstinence (West
et al. 2000, McEwen et al. 2006a). The choices of medication
available to people attending NHS stop smoking services who
are motivated to stop smoking are usually based on patient
preference and include nicotine replacement therapy (NRT),
Bupropion and Varenicline. The effectiveness of pharmaco-
therapy and/or behavioural support for people in the general
population to stop smoking has been evaluated in over 200
randomised controlled trials (RCTs) including over 70,000
patients and has been shown to increase the chance of
quitting 2- to 4-fold, compared to placebo (Hughes et al.
2007, Stead et al. 2008, Cahill et al. 2012). NRT aims to
reduce withdrawal symptoms associated with stopping
smoking by replacing the nicotine from cigarettes; it is widely
used and has few side effects. Bupropion is an antidepressant
and a nicotine antagonist. Recent systematic reviews have
found it to be effective in helping people with schizophrenia
to stop smoking (Banham & Gilbody 2010, Tsoi et al. 2010),
but is also known to lower the seizure threshold, induce
mania and interacts with a number of psychotropic medica-
tions (NICE 2008). Varenicline is a nicotine acetylcholine
receptor partial agonist. Case reports indicate significant risks
of exacerbation of depression, bipolar disorder and suicidal
ideation whilst taking Varenicline and have led the Medicines
and Healthcare Products Regulatory Agency (2008) to
recommend that Varenicline should be used with care with
patients who have a history of psychiatric illness.
The National Institute for Health and Clinical Excellence
(NICE) recommends that NHS Stop Smoking Services in the
UK should aim to treat a minimum of 5% of their local
population of smokers in the course of a year and at least
35% of treated smokers who set a quit date should be
abstinent four weeks after their quit date (National Institute
for Health and Clinical Excellence 2008). Four-week quit
smoking rates are a mandatory monitoring requirement for
English NHS Stop Smoking Services and a means of tracking
service performance (Department of Health 2009). These
data are collected on a quarterly basis by patient self-report,
validated by an expired breath carbon monoxide (CO)
reading of <10 ppm. From April 2009 to March 2010,
757,537 people set a quit date with NHS Stop Smoking
Services in England and 49% had successfully stopped
smoking at the four-week follow-up stage (The Health and
Social Care Information Centre 2010).
D Robson et al.
� 2012 Blackwell Publishing Ltd 406 Journal of Clinical Nursing, 22, 405–413
In 2006, smoke-free legislation was introduced to ban
smoking in enclosed public areas or workplaces in England
(Health Act, 2006). Following an initial exemption, mental
health units in England and Northern Ireland have had to
comply with smoke-free legislation since July 2008. Imple-
mentation has been contentious and surveys since the ban
suggest that it is only being partially implemented, and that
mental health staff and patients remain ambivalent about its
utility and feasibility (Mental Health Foundation 2009).
Retrospective service evaluations of the impact of the
smoking ban in in-patient forensic settings in the UK have
been carried out (Cormac et al. 2010, Shetty et al. 2010), but
these do not report quit rates. An emerging evidence base
suggests that when smoking cessation interventions are
tailored to address the neurobiological, cognitive, affective
and social effects of SMI, a modest number of patients are
motivated and successful in stopping smoking. Uncontrolled
and controlled studies evaluating the efficacy of NRT or
Bupropion, in addition to psychosocial support, report quit
rates of between 6–18% at six-month follow-up amongst
community patients with psychosis (George et al. 2000,
2002, 2008, Evins et al. 2001, 2005, 2007, Baker et al. 2006,
Ashton et al. 2010). However, amongst UK acute in-patients
with SMI, we were unable to identify any published studies
prospectively evaluating a smoking cessation intervention.
The Department of Health (DH) in the UK recommends
that commissioners and providers should work together to
improve access to evidence-based smoking cessation treat-
ment for smokers from high-risk groups such as people with
mental illness. The DH also proposes that new, non-evidence-
based delivery models (such as drop-ins) should be piloted on
a small scale and be carefully evaluated before being adopted
as a significant part of the service (DH 2009).
This article reports the results of a prospective service
evaluation of a drop-in stop smoking clinic jointly developed
by a PCT and a Mental Health Trust in the UK, designed to
help patients on an acute mental health in-patient unit to stop
smoking. The aim of the study was to evaluate the effect of
the drop-in stop smoking clinic on the smoking status of
patients four weeks after their quit day.
Method
Setting and participants
The service evaluation took place on an acute in-patient unit of
a NHS Mental Health Foundation Trust in the south of
England between July 2008 and March 2009. This unit was
comprised of two 18-bedded acute admission wards and a
seven-bedded Psychiatric Intensive Care Unit, which serves a
population of approximately 395,000 people from four
districts (NHS Surrey 2008). White British ethnicity makes
up the largest percentage of the resident population (84Æ4%),
compared to the national average of 83Æ6% for the whole of
England, whereas people from an Asian background are the
largest minority non-white group in this area (NHS Surrey
2008). The PCT where the research was conducted is the least
deprived PCT and the third most affluent county in England
(NHS Surrey 2008). However, there are pockets of relative
deprivation and the in-patient site reported in this study admits
patients from two of the most deprived districts in the county.
All patients aged 18 and above who were resident on the in-
patient unit and who smoked during the evaluation period
were eligible to access the drop-in clinic on a voluntary basis,
either by self-referring or by referral from a member of staff.
Description of the service
A steering group was established to oversee the development,
management and evaluation of the drop-in clinic. Members
included the PCT tobacco control lead for mental health, two
Trust managers, a ward manager, a staff nurse, a pharmacist
and an honorary nurse consultant. The drop-in clinic was
held one day a week for six hours, over a six-month period.
The first three months of the drop-in clinic were staffed by a
specialist stop smoking advisor employed on a freelance basis
by the PCT. She had 10 years experience working in the field
of smoking cessation and a background in mental health
nursing and social work. The rationale for using an experi-
enced specialist stop smoking advisor employed by the PCT
to set-up the clinic was to try and have a positive impact on
the culture and practice of the unit staff. We wanted a
confident practitioner who had a proven track record of
success in helping patients with SMI to stop smoking and
who would hopefully inspire patients to use the service
and demonstrate to the unit staff that this was a worthwhile
and achievable task. The steering group also considered it
important that the stop smoking advisor should be external
to the in-patient unit to prevent conflict with competing ward
priorities and untoward incidents.
After the initial three months, the drop-in clinic was staffed
by three mental health in-patient workers, a staff nurse, an
occupational therapy technician and a health care assistant,
who worked in turn to staff the drop-in clinic on a rota basis.
Their time working in the drop-in clinic was ring-fenced and
funded by the Mental Health Trust. Prior to taking over the
running of the drop-in clinic (i.e. during the first three months
of the clinic), these three mental health workers attended a
Level 2 smoking cessation training course for mental health
professionals, run by the local PCT. They received 14 hours
Clinical issues Drop-in stop smoking clinic service evaluation
� 2012 Blackwell Publishing Ltd Journal of Clinical Nursing, 22, 405–413 407
of training delivered over two and a half consecutive days by
tobacco control specialists. The course is designed to provide
mental health professionals with knowledge, confidence and
skills to deliver smoking cessation advice on a one-to-one
basis and is compliant with the standards for training in
smoking cessation treatments recommended by the Health
Development Agency (HDA 2003) in the UK.
Staff running the drop-in aimed to deliver 6–8 sessions of
smoking cessation support based on the work developed and
described by Hajek (1989) and McEwen et al. (2006a) for
use in the general population and by McNally (2006) for
mental health patients. It was decided by the steering group
that because of the potential interactions of Bupropion with
some psychotropic medication and the lack of current
empirical evidence and potential risks of Varenicline in a
mental health population, patients would only be offered
NRT (patch, inhalator or lozenge). In addition to NRT, other
interventions used in the drop-in included engaging patients
in setting a flexible and collaborative quit date; monitoring
nicotine withdrawal symptoms, coping with physical, psy-
chological, social and behavioural aspects of stopping smok-
ing and relapse prevention. If a patient was discharged before
the intervention was completed, they had the option of
returning to the unit or being followed up by the PCT stop
smoking service.
Outcomes
Smoking status
The primary outcome for the study was smoking status
four weeks after the patient’s quit day. This was obtained by
patient self-report and validated by an expired carbon mon-
oxide (CO) reading taken each week by the drop-in staff, over
this four-week period. Expired breath CO reading is the most
commonly used biological marker of smoking status in both
research studies and clinical practice (Jarvors et al. 2005). CO
is a colourless, odourless gas inhaled by smokers from ciga-
rettes. CO is eliminated from the body within 24 hours of
stopping smoking; therefore, if a patient reports they have not
smoked in the previous 24 hours, an exhaled breath test can
confirm this (American Lung Association 1990). The propor-
tion of CO-verified patients was calculated by dividing the
number of treated smokers who reported continuous absti-
nence from smoking from quit day to the four-week follow-up
point and who had a CO reading of <10 ppm, by the total of
treated smokers (DH 2009).
Clinical and smoking characteristics
Demographic and clinical characteristics were collected from
case notes, and smoking characteristics were collected at
baseline by the drop-in staff using the Smoker’s Clinic
Questionnaire, a data collection tool used routinely by the
local PCT NHS Stop Smoking Service. This tool was used at
the first smoking cessation session to assess the patients’ level
of nicotine dependence and their motivation to smoke and
stop smoking. The Fagerstrom Test for Nicotine Dependence
(FTND) is the most widely used instrument to quantify
dependence (Heatherton et al. 1991) and been used to assess
dependency in studies of smoking cessation interventions in
mentally ill samples (George et al. 2000, Evins et al. 2005,
2007, Baker et al. 2006). Two of the items in the FTND (the
number of cigarettes smoked and time to first cigarette of the
day) are included in the Smoker’s Clinic Questionnaire. These
two questions have been identified to be valid and the most
predictive values of nicotine dependence and can be com-
bined to give a Heaviness of Smoking Index (HSI) score
(Heatherton et al. 1989, John et al. 2004). In mental health
samples, the scores derived from the HSI and FTND have
high agreement (kappa 0Æ60) (de Leon et al. 2003). Using the
HSI, dependence can be categorised into one of three groups:
low (0–1), medium (2–4) and high dependence (5–6).
Reasons for smoking are also elicited in the Smoker’s
Clinic Questionnaire, using some of the questions from The
Smoking Motives Questionnaire (SMQ) (West 2006).
Patients are asked to rate how often they use smoking to
help cope with stress, to socialise, to help with concentration,
because they will feel uncomfortable if they do not smoke, to
keep weight down and because they enjoy it (1 = not at all
and 5 = very much). The SMQ is used in the Smoking Toolkit
study (West 2006), a series of monthly surveys designed to
provide information on smoking and cessation patterns
amongst smokers in England. Its test–retest reliability has
been found to be generally high (McEwen et al. 2008) and
smoking motives elicited using the questionnaire have been
found to be correlated with a number of sociodemographic
variables (Fidler & West 2009).
The types of data used in this study are routinely collected
by the local PCT Stop Smoking Service and the Mental
Health Trust. Data were collated and analysed by a member
of the steering group who was independent to the drop-in
clinic staff. Ethical approval for service evaluations is not
required (McEwen et al. 2006b, NHS National Patient Safety
Agency 2008), although audit approval was obtained from
the Mental Health Trust’s Research & Development depart-
ment.
Analysis
Data were entered and analysed using SPSSSPSS version 15 (SPSS,
Chicago, IL, USA) and STATASTATA version 9 (Stata Corporation,
D Robson et al.
� 2012 Blackwell Publishing Ltd 408 Journal of Clinical Nursing, 22, 405–413
College Station, TX, USA). Demographic, clinical and
smoking characteristics are described using means and stan-
dard deviations for continuous variables and percentages for
categorical variables. The McNemar test (a paired version of
the chi-square test) was used to test if the number of patients
who stopped smoking was significantly different between
baseline and the four-week follow-up stage (McNemar 1947).
Results
During the six-month evaluation period, 46 in-patients used
the drop-in clinic and set a quit date. The demographic and
clinical characteristics are reported in Table 1.
Smoking characteristics
Participants smoked an average of 28 (SD 15Æ4) cigarettes a
day (range, 4–80) and their HSI score was 3Æ8 (SD 1Æ47).
Sixty-three per cent had previously tried to stop smoking on
at least one occasion, and the mean length of time for
previous abstinence was 48Æ7 days (SD 83Æ1). The highest
rated motive for smoking was to help cope with stress (mean,
4Æ2, SD 1Æ2): 79% of patients stated they did this ‘very much’
or ‘quite a bit’. The next highest rated motive reported was
the enjoyment of smoking (mean, 4Æ1, SD 1Æ2), followed by to
help with socialising (mean, 3Æ3, SD 1Æ4), and because they
would feel uncomfortable if they did not smoke (mean, 3, SD
1Æ5). Thirty-eight per cent of participants stated they were
either very or extremely determined to stop smoking, and
34Æ4% thought it was very or extremely important to stop
smoking. The most common reason given for wanting to stop
smoking was for health reasons: 70Æ4% gave this reason,
followed by cost (11Æ1%), pressure from others (11Æ1%), not
liking being addicted (3Æ7%) and that it was a bad example to
their children (3Æ7%).
Smoking status
Over the six-month evaluation period, 46 patients were
treated in the drop-in clinic and set a quit date. Thirteen
(28Æ3%) patients were abstinent at the four-week follow-up
stage, verified by a CO reading (v2 = 33, df = 1,
p < 0Æ0001); this was a statistically significant proportion
of those treated. Five of the ten patients with a diagnosis of
depression successfully quit, whereas 5 of 18 patients with a
diagnosis of schizophrenia, 2 of 11 patients with a person-
ality disorder and one of seven patients with a bipolar
disorder successfully stopped smoking.
The specialist smoking cessation advisor employed by the
PCT treated 27 patients in the first three months of the drop-
in and 10 (37%) patients quit at four-week follow-up. The
ward staff, new to smoking cessation work, treated 19
patients in the second three months of the evaluation and 3
(15Æ7%) patients quit. This difference was not statistically
significant (v2 = 2Æ48, df = 1, p = 0Æ11).
Discussion
This study is to our knowledge the first published UK
evaluation of a smoking cessation intervention, exclusively
for an acute mental health in-patient population. This
evaluation shows that these patients are motivated to stop
smoking and that a significant proportion find this achiev-
able. The participants in this evaluation were heavy smokers
[defined as smoking more than 25 cigarettes a day (Kelly &
McCreadie 1999)] and had a moderate level of tobacco
dependence. They were motivated to smoke for reasons
similar to those of smokers in the general population: data
collected from more than 2700 clients of London Stop
Smoking Services rated stress relief, boredom and enjoyment
highest (McEwen et al. 2008). The average length of stay on
the in-patient unit for our participants was similar to the UK
national average length of an in-patient stay, currently
reported as 78 days for men and 68 for women, as was the
proportion of those who were compulsorily detained (Health
and Social Care Information Centre 2011).
An in-patient stay in a smoke-free environment may be an
opportune time for initiating smoking cessation treatment
because of the intensity of exposure to nursing and medical
staff and the removal from usual environmental cues to
smoke (American Psychiatric Association 2006). Rigotti et al.
(2008) reported that delivering smoking cessation services to
in-patients with physical health conditions, such as cardio-
vascular disease has a positive impact. Pooling data from 17
RCTs, they found that cessation programmes initiated during
a hospital stay, and which included follow-up support for at
Table 1 Demographic and clinical characteristics
Variable n = 46
Gender
Female 28 (61%)
Age 36Æ6 (SD 12Æ8) Ethnicity
White UK 37 (80Æ4%) Diagnosis
Schizophrenia 18 (39Æ1%) Personality disorder 11 (23Æ9%) Depression 10 (21Æ9%) Bipolar 7 (15Æ2%)
Legal status detained under Mental Health Act 20 (43Æ4%) Mean length of admission 63 days
Clinical issues Drop-in stop smoking clinic service evaluation
� 2012 Blackwell Publishing Ltd Journal of Clinical Nursing, 22, 405–413 409
least one month after discharge, increased the odds of
stopping smoking by 65% at 6–12 months after hospital
discharge. Published studies of similar programmes in people
with SMI do not currently exist.
Despite recommendations to integrate smoking cessation
interventions into mental health services (Campion et al.
2008, DH 2009), there is lack of clarity about the role that in-
patient staff should adopt. The current evidence base for
effective interventions to help people with a SMI who wish to
stop smoking is derived from community patients rather than
acute in-patients. Also, the majority of studies to assess the
efficacy of smoking cessation interventions have been con-
ducted in research settings where the intervention is usually
delivered by a research nurse or trained smoking cessation
counsellor, not by a heath care professional responsible for
other aspects of the patients’ clinical care (Rigotti et al.
2008). It has been established that nurses who combine
smoking cessation work with other duties are less effective
than nurses who have a health promotion or an exclusive
smoking cessation role (Rice & Stead 2008). Our drop-in
clinic was a dedicated on-site service, staffed initially by a
specialist smoking cessation advisor and then by ward staff
following brief training. The specialist stop smoking advisor
treated more patients and achieved higher quit rates than the
ward staff; however, it is uncertain if this was as a result of
greater experience and specialist skills or her exclusive role in
concentrating on smoking behaviour. Nevertheless, the in-
patient staff were able to motivate patients to make a quit
attempt and this was successful for a small number, suggest-
ing that in-patient mental health staff whose role is varied
and challenging are able to integrate smoking cessation work
into their clinical practice when their time is protected.
Lawn and Campion (2010) surveyed 99 adult mental health
in-patient units across Australia to evaluate the implementa-
tion of smoke-free legislation. They reported that the factors
associated with greater success of implementing smoke-free
initiatives in mental health in-patient settings are clear,
consistent and visible leadership, cohesive teamwork, exten-
sive training for clinical staff, fewer staff smokers, effective use
of nicotine replacement therapies and consistent enforcement
of a smoke-free policy. In the current study, it appeared that
the consistent and visible leadership from the ward manager,
the cohesive teamwork of the three mental health workers
who ran the drop-in and the collaborative support from the
local PCT were integral to the success of the drop-in service.
Current guidelines recommend that general population
services should aim to achieve a CO-validated abstinence rate
of at least 35% four weeks after the person stops smoking
(National Institute for Health and Clinical Excellence 2008).
The local PCT NHS Stop Smoking Service responsible for
providing support to smokers in the general population
achieved a quit rate of 41% during the same time period as
our service evaluation (Health and Social Care Information
Centre 2009). The rate of 28% achieved in this service is
clearly lower than these general population targets and
results. But although mental health services should aim for
comparable quit rates between mental health service users
who smoke and smokers in the general population, there is a
paucity of evidence to guide our practice about what is an
achievable and realistic target. It is likely that smokers who
have mental illness will have more severe nicotine dependence
and greater ambivalence about stopping compared to smok-
ers in the general population (Tsoi et al. 2010), which may
be expected to limit the effectiveness of standard care
interventions.
The findings of this study need to be cautiously interpreted
because of its methodological limitations: this was uncon-
trolled study and hence vulnerable to subjectivity and bias.
The sample size was small and recruited from a single site;
therefore, it may not be representative or generalisable to
similar populations. The Mental Health Trust where the
study was conducted did not routinely record patient’s
smoking status at the time, so we are unable to report what
proportion of the in-patients were smokers and therefore
what proportion of smokers were interested in making a quit
attempt during their stay. We also did not collect any routine
data regarding the severity of symptoms of this sample of
patients and how this may have affected their desire to use the
drop-in clinic or influenced their ability to quit. Follow-up
data were only collected for four weeks after the patients quit
date, in line with national monitoring standards; therefore,
we do not know whether these quit attempts were sustained
beyond this time period. However, this study has generated
new knowledge at a local level and was conducted in a real
world as opposed to a research setting. The most robust
design for the evaluation of a new intervention or service is a
well conducted randomised controlled trial; however, a series
of studies may be required to progressively refine an
intervention before one embarks on a full-scale evaluation
(Craig et al. 2008). Compared to the large, robust evidence
base for smoking cessation interventions for smokers in the
general population, interventions to help people with SMI
have a smaller evidence base, and to date published studies
have focused on patients in community mental health
settings. Clinical interventions evaluated in the general
population provide an essential starting point on which
to build approaches specific to the needs of this particular
population. The challenge of taking evidence-based interven-
tions that are effective in smokers in the general population
and adapting them for mental health patients who smoke is
D Robson et al.
� 2012 Blackwell Publishing Ltd 410 Journal of Clinical Nursing, 22, 405–413
an important public health priority and the basis of this
study.
Conclusion
This service evaluation of a stop smoking drop-in clinic
highlights that patients in an acute in-patient unit are
interested in stopping smoking and that a significant propor-
tion find this achievable. Enforcing smoke-free legislation has
become a time-consuming and contentious issue on in-patient
units, particularly in the UK. However, an admission period
in a smoke-free environment provides a crucial opportunity
to offer smoking cessation treatment, although this will only
be viable with appropriate resources expertise and support.
This small-scale evaluation has shown a drop-in intervention
to be feasible, acceptable and associated with positive
outcomes; further research with larger, more representative
samples to guide our practice is required.
Contributions
Study design: DR; data collection and analysis: DR, FC, SJ,
BB, SS, ST, MH and manuscript preparation: DR, FC, BB, SJ,
ST, MT, MJ, MH.
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