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A Scott Lennox a Department of General Practice and Primary Care,
University of Aberdeen, Aberdeen AB25 2AY, b Department of Medicine and
Therapeutics, University of Aberdeen, c Department of
Computing Science, University of Aberdeen, d Health Economics Research Unit, University of
Aberdeen, e Medicines Monitoring Unit, Department of Clinical
Pharmacology, University of Dundee, Dundee DD1 9SY
Correspondence to: A
Scott Lennox s.lennox{at}abdn.ac.uk
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Abstract |
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Objectives:
To develop and evaluate, in a primary
care setting, a computerised system for generating tailored letters about smoking cessation.
Design:
Randomised controlled trial.
Setting:
Six general practices in Aberdeen, Scotland.
Participants:
2553 smokers aged 17 to 65.
Interventions:
All participants received a
questionnaire asking about their smoking. Participants subsequently
received either a computer tailored or a non-tailored, standard letter on smoking cessation, or no letter.
Main outcome measures:
Prevalence of validated
abstinence at six months; change in intention to stop smoking in the
next six months.
Results:
The validated cessation rate at six
months was 3.5% (30/857) (95% confidence interval 2.3% to 4.7%) for
the tailored letter group, 4.4% (37/846) (3.0% to 5.8%) for the
non-tailored letter group, and 2.6% (22/850) (1.5% to 3.7%) for the
control (no letter) group. After adjustment for significant covariates, the cessation rate was 66% greater (
4% to 186%; P=0.07) in the non-tailored letter group than that in the no letter group. Among participants who smoked <20 cigarettes per day, the cessation rate in
the non-tailored letter group was 87% greater (0% to 246%; P=0.05)
than that in the no letter group. Among heavy smokers who did not quit,
a 76% higher rate of positive shift in "stage of change"
(intention to quit within a particular period of time) was seen
compared with those who received no letter (11% to 180%; P=0.02). The
increase in cost for each additional quitter in the non-tailored letter
group compared with the no letter group was £89.
Conclusions:
In a large general practice, a
brief non-tailored letter effectively increased cessation rates among
smokers. A tailored letter was not effective in increasing cessation
rates but promoted shift in movement towards cessation ("stage of
change") in heavy smokers. As a pragmatic tool to encourage cessation
of smoking, a mass mailing of non-tailored letters from general
practices is more cost effective than computer tailored letters or no letters.
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What is already known on this topic
What this paper adds
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Introduction |
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Cigarette smoking continues to be a major preventable source of illness and premature death in Scotland. Intensive, expert-led interventions have relatively high success rates but reach only a small proportion of smokers. The real potential for reducing the national prevalence of smoking lies in the widespread implementation of brief interventions. 1 2 However, there are constraints on effective health promotion by primary healthcare professionals, particularly lack of time and skills.3 Consequently effective, low cost interventions in primary care that require only minimal input from health professionals should be sought.
Two studies in North America investigated computer generated personalised letters as a method of encouraging smoking cessation. 4 5 Such letters allow smokers to receive expert input without much demand on health professionals' time. The findings were positive but can only be regarded as preliminary. The numbers of participants were small, and in neither study were smokers' claims to have stopped smoking validated biochemically. We were encouraged by the results of these studies, but believed that a larger study, with biochemical validation, was needed on a population with a wider socioeconomic range.
We hypothesised that computer tailored letters would be more effective
and cost effective than non-tailored letters in helping smokers to
stop. We planned subgroup analyses
light versus heavy smokers, and
intention versus no intention to quit in the next six months
because
the two previous studies had indicated differential effects according
to heaviness of smoking and readiness to quit.
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Methods |
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Our randomised controlled trial compared the effect on smoking cessation of a computer tailored letter, a non-tailored letter, and no letter. Ethical approval was obtained from the Grampian joint ethical committee.
Interventions
At the start of the study we sent all participants a
questionnaire that asked about their current smoking behaviour, attitudes to smoking, perception of barriers to quitting, and intention
to quit in the next six months or in one month. After we received their
questionnaire, we sent each participant a computer tailored letter, a
non-tailored letter, or just a letter thanking them for participating
in the study ("no letter").
We developed a computerised system for
generating tailored letters. The system made decisions on the text to
be included in each participant's letter, based on the answers the
participant gave in the questionnaire. The phrases and decision rules
were devised by experts on smoking cessation and on patient information, in collaboration with the developers of the software. The
experts were informed by their clinical experience and their knowledge
of various models of behaviour change,6 in particular the
"stage of change" model of smoking cessation (described
below).7 Smokers were first categorised according to their
intention to stop smoking and their "decisional balance" (their
rating of the pros and cons of smoking). This determined the main
topics to be included in the letters, which were further personalised
in response to other answers in the questionnaire.
Non-tailored letter
This was essentially a default tailored
letter produced by scanning a blank questionnaire. To this extent, both
interventions were expert interventions, based on a considerable input
of time, knowledge, and experience.
No letter
We sent control participants a letter thanking
them for their participation and informing them that they would receive material at the end of the study (either a tailored or a non-tailored letter, should either have been shown to be effective).
How the letters were tailored
Overall structure of the letters
Letters were printed on four A5 sized pages (one piece of
A4 paper folded in half). The front page contained introductory text
and the middle pages contained most of the tailored information. The
back page was selected from 16 possible versions. Information was
tailored on two levels: overall content was based on category of
smoker, while specific text within sections was determined by each
participant's specific answers to the questionnaire.
Categories of smoker
Smokers' "stage of change" was determined using the
standard questions "Are you intending to stop smoking in the next six
months?" (No = a "pre-contemplator") and "If yes, are you
intending to stop smoking within the next month?" (No = a
"contemplator", yes = a "preparer").
answered "no" to the question
"Would you like to stop smoking if it was easy?"
Category 2
answered "yes" or "not sure" to
the question "Would you like to stop smoking if it was easy?" and
had a mixed or negative "decisional balance." (Decisional balance
refers to the things the smoker likes and dislikes about smoking and
the weighting put on them. It can be positive (the dislikes outweigh
the likes), negative (the likes outweigh the dislikes), or mixed. We
assumed that someone with a positive decisional balance is well
motivated to stop.)
Category 3
answered "yes" or "not sure" to
the question "Would you like to stop smoking if it was easy?" and
had a positive decisional balance.
Contemplators and preparers were also divided into two further
categories according to their decisional balance (see
box).
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Categorisation of smokers
Category 1 (pre-contemplator) Category 2 (pre-contemplator) Category 3 (pre-contemplator) Category 4 (contemplator) Category 5 (contemplator) Category 6 (preparer) Category 7 (preparer) |
Content of the letters
All the letters apart from those for smokers in category 1 were based on five possible sections.
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Focus of information for each category
Category 1
The letter acknowledged that the participant was not currently interested in stopping smoking. If
participants were concerned about their health some information was
given about how stopping smoking would improve their health. Reasons to
be confident of successfully stopping were listed. If the participant
was a heavy smoker, the use of nicotine replacement was recommended
should they eventually try to stop.
These participants indicated that they might
like to stop smoking but did not seem to be highly motivated. The main
aim of the letter was therefore to increase motivation. It also aimed
to increase confidence in their ability to stop and suggested
strategies for coping with any envisaged difficulties should they
decide to try to stop.
Category 3
These participants were aware of the negative
aspects of smoking but possibly lacked confidence in their ability to
stop. The main aim of the letter was therefore to increase confidence
by addressing some of the difficulties they might face should they try
to stop. It also suggested three simple preparatory "small steps"
to an attempt at cessation.
Categories 4 and 5
Advice was given on planning an attempt
to quit, including choosing a date for stopping. The letter also gave
information aimed at maintaining motivation and increasing confidence.
Additional motivational text was included for participants in category 4.
Categories 6 and 7
The main focus was specific advice on
how to stop smoking. The letter also included information to reinforce reasons for stopping and to boost confidence.
Second level tailoring
Within each section, inclusion of text was based on
participants' answers to the questionnaire. The following are examples
of tailoring at this level.
Recruitment
We recruited participants from smokers aged 17 to 65 years
registered at six general practices in Aberdeen. From the computerised
records of the practices we identified 7427 patients, who were sent a
covering letter, a consent form, and a questionnaire to collect
information to form the basis of the tailoring. We sent two reminders
at intervals of three weeks.
Assignment and mailing of the letters
The unit of randomisation was the individual participant.
After the questionnaires and consent forms were returned, we randomised
the participants to the groups using computer generated random numbers.
We mailed materials appropriate to each group immediately after randomisation.
Follow up
Follow up at six months was by postal questionnaire, with
two reminders at intervals of three weeks. We attempted telephone follow up of non-respondents.
Outcome measures
The main outcome measure was point abstinence at six
months, defined as a negative response to the question "Have you
smoked a cigarette, even a puff, in the last seven days?" We
validated self reports of smoking cessation by salivary cotinine assay.8 Participants lost to follow up and those whose
report of cessation could not be confirmed biochemically were classed as continuing smokers.
Methods of analysis
We used
2 tests to analyse categorical
variables. Data on continuous variables were tabulated as means and
standard deviations. Differences between groups were assessed by using
analysis of variance. We used multiple logistic regression to assess
relations between outcomes and group membership.12
Analyses were adjusted for age, sex, level of social deprivation,
heaviness of smoking, time to first cigarette of the day, and initial
stage of change. Multiple logistic models tested for interaction terms
for heaviness of smoking by group and initial stage of change by group.
Logistic models were assessed for each of the four subgroups defined by
heaviness of smoking (<20 and
20 cigarettes per day) and initial
stage of change (pre-contemplator and contemplator or preparer).
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Results |
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Response rates and overall cessation rates
Figure 1 shows the flow of participants through the
study. The number of valid mailings after exclusion of those sent to
the wrong address or to participants who were currently non-smokers or
who were excluded was 6155. Of the 6155 valid mailings, 2612 responses
were valid (42.4%). A total of 2553 participants did not withdraw, and
the follow up rate was 78.1% (1995/2553).
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Characteristics of respondents
There were no significant differences between the groups in
age, sex, level of social deprivation, or initial stage of change. The
percentage of heavy smokers was significantly higher in the tailored
letter group than in the non-tailored letter group, which had the
lowest proportion of heavy smokers.
Outcomes
Sex, age, and heaviness of smoking were not associated with
cessation, but there was a significant inverse association with level
of social deprivation. Participants whose initial stage of change was
contemplator or preparer were more likely to have stopped than
pre-contemplators, as were participants who had their first cigarette
later in the day (table 2).
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4% to
186%; P=0.07), and participants receiving a tailored letter were 39%
more likely to have quit than those receiving no letter (
21% to
146%; P=0.25). After adjustment for confounding variables,
participants who received either a tailored or non-tailored letter were
53% more likely to have quit than those receiving no letter (-7% to
151%; P=0.09).
Among participants who smoked <20 cigarettes a day, those who received
a non-tailored letter were 87% more likely to have quit than those who
received no letter (table 3). Among participants who smoked
20
cigarettes a day and among pre-contemplators there were no differences
between either the tailored letter group or the non-tailored letter
group and the no letter group. On the other hand, contemplators or
preparers who received the non-tailored letter had a higher cessation
rate than those who received no letter (P=0.08).
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Shift in stage of change among participants who did not stop
smoking
Among participants who did not stop smoking, heavy smokers
who received the tailored letter were 76% more likely (11% to 180%)
to have made a positive shift in stage of change compared with those
who received no letter (table 4).
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Economic evaluation
Cost effectiveness of the non-tailored letter intervention
Thirty seven of the 846 participants who received a
non-tailored letter stopped smoking, compared with 22 of the 850 participants who received no letter. Costs based on the actual number
of participants recruited indicate that these 15 additional quitters
were gained at a total cost of £464.
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Discussion |
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Our main finding was that, compared with no letter, the non-tailored letter was effective and cost effective in helping smokers to stop smoking, whereas the computer tailored letter was not. However, the computer tailored letter encouraged heavy smokers to move forward in their stage of readiness to consider stopping smoking.
The cessation rate of 4.4% is low compared with rates of 19% and 25% in two previous studies of computer generated letters and 21% in a mass media intervention by the Health Education Board for Scotland. 4 5 14 However, our study had methodological strengths: it was carried out on a randomly chosen population who had not actively volunteered to take part in the intervention and had no special motivation to quit; it used an intention to treat analysis, with all participants lost to follow up being classed as continuing smokers; claims of participants to have stopped smoking were biochemically validated; and the tailored and non-tailored letters were created from the same text base.
In contrast, the high rates of cessation in the other studies were based on self reported cessation, and subjects who dropped out were omitted from the calculations of rates of continuing smoking. In some studies the form of the materials used for the control group was very different from that in the tailored intervention. None of these studies used biochemical validation of non-smoking. Contrary to the argument that biochemical validation is unnecessary in brief intervention studies,15 our findings indicate that not validating cessation results in an overestimate of cessation. Furthermore, one study based its success rate on a subgroup of light smokers who had intended to quit smoking.4 If we had used these methods, our rate of cessation would have been 20% or more.
Raw et al summarised evidence on the validated effect of different types of cessation intervention.16 The most effective is nicotine replacement therapy, which increases the rate of cessation by 8% at six months. Brief advice from a doctor increases abstinence at six months by 2-3%. Two validated studies by the British Thoracic Society found that up to three personalised but non-tailored letters, from doctors to outpatients in chest clinics, increased cessation by 2-3%.17 The present study has found that even one short non-tailored letter from a patient's general practice is as effective as these last two brief interventions.
Can we conclude that tailored letters are not effective?
Our hypothesis that tailored letters would be more
effective than non-tailored letters was not supported by the findings.
However, using a weaker concept of tailoring, we might consider that
our non-tailored letter was in fact tailored
or at least
personalised
to some extent. Although the non-tailored letter was not
tailored to individuals, it was more personal than a general leaflet
giving advice on smoking cessation: it was in a letter format, with the
crest of the local university and the logo of the patient's general
practice, and was ostensibly from "the practice." This degree of
personalisation may account for some of its effect, given the evidence
from the British Thoracic Society's study that a non-tailored letter
signed by a physician is more effective than an unsigned control
letter.17
tailored information may work only for certain categories of smoker. In the present study we got
the information right for heavy smokers at an earlier stage of
change
cognitive strategies are generally more appropriate for
participants at earlier stages of change7
and the success of the tailored letter may reflect the importance it placed on raising
confidence in achieving goals ("self efficacy") among these
smokers. It is unclear why heavy smokers fared better than light smokers.
The greater effectiveness of the non-tailored letter among smokers
intending to quit in the next six months may be due to the fact that
all participants in the non-tailored letter group received specific
advice on how to prepare for and cope with difficulties during an
attempt to quit, whereas many smokers in the tailored letter group did
not receive this behavioural information. Instead they received more
cognitive input aimed at boosting motivation, confidence, and self
efficacy. Although both cognitive and behavioural input is appropriate
for such smokers,7 letters may be better suited to
conveying behavioural than cognitive interventions.
The evidence from other studies of tailored interventions is equivocal.
A recent review drew overly positive conclusions: a critical reading of
the source material shows that, of eight methodologically sound
studies, three showed no effect of tailoring.19 One of
these three was the only trial to compare a one-off tailored letter
with both a non-tailored letter and a control. Of the five successful
trials, one was a trial of "iterative" tailored feedback (successive cycles of questionnaire and intervention in which the
responses to the questionnaire inform the contents of the next
intervention) and stage-matched manuals, two were of tailored feedback
and nicotine replacement therapy, one was of a non-tailored booklet and
tailored feedback, and one was of iterative feedback. Even in these
five, as pointed out above, the lack of validation of self reported
cessation brings into question the reliability of their results.
However, the present study's findings on the impact of tailoring on
shift in stage of change in heavy smokers, and the fact that recipients
of tailored letters were more likely to remember receiving and to have
kept their letter, suggest that it would be premature to conclude that
tailoring is ineffective.
Cost effectiveness of the non-tailored letter
The cost per quitter of the non-tailored letter is
estimated at between £37 and £89, which compares very favourably with
other cessation interventions.
14 20-22
The cost
effectiveness ratio of the Health Education Board for Scotland's mass
media intervention was between £168 and £369, corresponding to a cost per discounted life year saved of between £304 and £656 (1993 prices).14 However, as pointed out above, this
intervention used self reported quitting. If the true rate of quitting
were lower, the corresponding cost effectiveness would also have been lower.
The potential for implementation of the non-tailored letter
intervention
Intervention by primary care professionals in the form of
brief opportunistic advice increases smoking cessation by about 2-3%
over control intervention,
16 23
but its implementation is
limited by various constraints on health professionals.3 In contrast, the 2% increase in cessation found in the present study
could be widely and easily realised by using the computerised data now
usually held by general practices. Indeed, the quantity and quality of
data on smoking held in general practices are set to improve as
computers become more user friendly. Soon most practices will be
capable of implementing this type of intervention, which would be well
suited to implementation at the level of primary care groups or local
healthcare cooperatives, and which could be part of a national strategy
on smoking cessation. Coordinators from the smoking cessation services
that have recently been set up in all health authorities and boards
could play a central role.
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Acknowledgments |
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We thank Martin Pucci and Margaret Taylor for their contribution to the expert group; Steven Porter, Duncan MacIver, and Yvonne McKay for their programming expertise; Annette Hermse, the validation nurse; and the general practitioners and practice managers of participating practices for their cooperation.
Contributors: ASL contributed to the design of the study and to the expert group, led the evaluation, and prepared the manuscript for publication. LMO contributed to the design of the study and to the expert group, carried out some of the analysis, and helped prepare the manuscript for publication. ER contributed to the design of the study, led the development of the computer tailoring system, and helped prepare the manuscript for publication. RR coordinated the development of the computer tailoring system and helped prepare the manuscript for publication. JF contributed to the design of the study and to the expert group. IM was responsible for designing the questionnaire, data collection, and data entry. DS contributed to the design of, carried out, and reported the economic evaluation. PTD advised on statistical aspects of the study design and carried out most of the analysis. ASL, LMO, and ER are the guarantors for the paper.
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Footnotes |
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Funding: The Chief Scientist Office, Scottish Executive Health Department, with additional funding from the Engineering and Physical Sciences Research Council. The Health Economics Research Unit is funded by the Chief Scientist Office. The views expressed in this paper are those of the authors and not those of the funding bodies.
Competing interests: None declared.
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References |
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(Accepted 8 March 2001)
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