A Comparison of the Effectiveness of Two Approaches in Achieving Smoking Abstinence

April 26, 2017 updated by: Dr. LI William Ho Cheung, The University of Hong Kong

A Comparison of the Effectiveness of Two Approaches (Quit Immediately: QI and Cut Down to Quit: CDTQ) in Achieving Smoking Abstinence Among Patients Having Follow-up in a GOPC: A Pilot Randomized Controlled Trial

The purpose of this study is to test the effectiveness of negotiating self determination to reduce cigarette consumption. A single-blinded multi-centre randomized controlled is employed.

Study Overview

Status

Completed

Conditions

Detailed Description

Introduction:

A brief intervention with a small to moderate effect size can potentially benefit a large number of smokers and increase smoking cessation within the community if it is carried out routinely in clinical practices by all or most healthcare professionals or people with minimal training. It is also the most cost-effective smoking cessation programme, because no extra or minimal funding is needed to provide the venue, manpower, and other expenses (but incentives or payments to healthcare professionals and follow-up support would be needed). There is no evidence that longer interventions are more effective than shorter interventions. Brief cessation interventions have been shown to be effective with strong evidence from the investigators' randomised controlled trials and in systematic reviews.

The negotiating self-determination to reduce cigarette consumption is guided by social cognitive and self-determination theories. According to social cognitive theory, self-efficacy is an important personal determinant of human behaviour and has been defined as the belief in one's capability to engage in behaviour to solve difficult tasks. This belief influences decisions on whether a certain form of behaviour will be adopted and maintained. Because self-efficacy is built on a successful experience of overcoming challenging tasks, smokers who have more successful experiences in reducing cigarette consumption tend to have higher levels of self-efficacy. Some evidence has shown that a reduction in smoking may lead to greater self-efficacy to resist smoking, which could increase subsequent quitting. According to self-determination theory, autonomy is another influential determinant of behaviours which is emphasized by freedom of choice. Studies have shown that patients having an opportunity to decide on their own treatment may feel more eager to comply with instructions. The subjects in this study will be allowed to select their own schedules of smoking reduction after the negotiation with the counsellor, such as the percentage of smoking reduction over an acceptable period of time. It is anticipated that the subjects will show more willingness to adhere to their own schedule as a result of an increase in autonomy. Moreover, some evidence has shown that autonomy is positively associated with competence; that is, people have greater autonomy demonstrate higher competence in achieving behavioural change. Consequently, autonomy will facilitate their gradual reduction or cessation of smoking. Most importantly, as a result of reducing the cigarette consumption and lowering down the nicotine dependence, it would be much easier for such smokers to further reduce or quit.

Methods:

Chinese patients attending the general out-patient clinics in Hong Kong for routine follow-up visits who fulfil the following inclusion criteria will be invited to participate in the study.

All smoking patients will be approached by a nurse counselors.

Analysis:

Data analysis will be performed using the Statistical Package for Social Science. In particular, we will use inferential statistics (independent-samples t-test and χ2 test) to examine the homogeneity between the QI and CDTQ groups. We will conduct logistic regression analyses to calculate the odds ratio (OR) and 95% confidence interval (CI) for smoking outcomes, i.e. self-reported and biochemical validated quit rates, self-reported smoking reduction rates and number of quit attempts. We will apply mixed between-within subjects analysis of variance (ANOVA) to determine whether CDTQ is more effective than QI in enhancing self-efficacy (perceived importance, difficulty and confidence) for quitting smoking. We shall adopt the principle of intention to treat. Subjects who are lost to follow-up, refuse to participate in biochemical validations, or withdraw from the study are considered unable to quit or reduce smoking. Depending on the amount and distribution of missing data, other methods, e.g. sensitivity analysis and multiple imputation technique will be used if necessary.

Study Type

Interventional

Enrollment (Actual)

100

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Hong Kong, Hong Kong
        • Sai Ying Pun Jockey Club General Out-patient Clinic in Hong Kong

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. aged 18 years or above,
  2. smoke at least two cigarettes per day,

Exclusion Criteria:

  1. those with unstable medical conditions as advised by the doctor in charge,
  2. poor cognitive state or mental illness,
  3. participation in other smoking cessation programmes or services.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: quit immediately (QI)
Subjects in the QI group will receive a smoking cessation booklet plus a brief intervention using the AWARD model: (a) Ask about smoking history, (b) Warn about the high risk, (c) Advise to quit now, as quitting can greatly reduce risks, (d) Refer smokers to a smoking cessation clinic, and (e) Do it again: repeat the intervention during each telephone follow-up. The whole intervention will be limited to less than 1 min or slightly longer if necessary. For the subsequent telephone follow-ups at 1, 3, 6 and 12 months, the counsellor will congratulate to the subjects who successfully quit smoking, while deliver the same brief intervention as a booster for those who continue to smoke.
advise to quit immediately using the AWARD model
Experimental: cut down to quit (CDTQ)
Subjects in the CDTQ group will also receive the smoking cessation booklet plus a brief intervention using the AWARD model. Instead of asking them to quit immediately, they will be advised gradually cutting down on their cigarette consumption. Also, the subjects will be provided with an education card that contains reduction strategies and a suggested plan to reduce smoking. For the subsequent telephone follow-ups at 1, 3, 6 and 12 months, the nurse counsellor will repeat the warning message that one out of two smokers will be killed by smoking, and remind the subjects of their next reduction target. The counsellor will congratulate subjects who quit or reduce smoking on their success. When subjects fail to quit or reduce their cigarette consumption, the counsellor will reinforce the health hazards of continued smoking and the benefits of quitting, and encourage them to try again immediately or in the near future.
advise to reduce cigarette consumption and quit eventally using the AWARD model

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
self-reported 7-day point prevalence of abstinence
Time Frame: 6 months
6 months
self-reported 7-day point prevalence of abstinence
Time Frame: 12 months
12 months
self-reported reduction of ≥ 50% in cigarette consumption
Time Frame: 6 months
6 months
self-reported reduction of ≥ 50% in cigarette consumption
Time Frame: 12 months
12 months

Secondary Outcome Measures

Outcome Measure
Time Frame
biochemically validated abstinence (exhaled CO test & saliva cotinine test)
Time Frame: 6 months
6 months
biochemically validated abstinence (exhaled CO test & saliva cotinine test)
Time Frame: 12 months
12 months
self-efficacy in quitting
Time Frame: 6 months
6 months
self-efficacy in quitting
Time Frame: 12 months
12 months
number of quit attempts made
Time Frame: 6 months
6 months
number of quit attempts made
Time Frame: 12 months
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: William, Ho Cheung LI, PhD, The University of Hong Kong

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2014

Primary Completion (Actual)

May 1, 2016

Study Completion (Actual)

November 1, 2016

Study Registration Dates

First Submitted

February 26, 2016

First Submitted That Met QC Criteria

March 2, 2016

First Posted (Estimate)

March 8, 2016

Study Record Updates

Last Update Posted (Actual)

April 28, 2017

Last Update Submitted That Met QC Criteria

April 26, 2017

Last Verified

April 1, 2017

More Information

Terms related to this study

Other Study ID Numbers

  • GOPC

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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