Evidence map›Paper›PMID 30239563›Full record

SynthesisAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2019

Enhancing Behavior Change Technique Coding Methods: Identifying Behavioral Targets and Delivery Styles in Smoking Cessation Trials.

Nicola Black, A Jess Williams, Neza Javornik, Claire Scott, Marie Johnston, Maarten C Eisma, Susan Michie, Jamie Hartmann-Boyce, Robert West, Wolfgang Viechtbauer and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Observational
  6. Article
  7. Review
  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Nicola BlackHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.
A Jess WilliamsHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.
Neza JavornikHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.
Claire ScottHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.
Marie JohnstonHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.
Maarten C EismaHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.
Susan MichieCentre for Behaviour Change, University College London, London, UK.
Jamie Hartmann-BoyceNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Robert WestHealth Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, London, UK.
Wolfgang ViechtbauerDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Marijn de BruinHealth Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Foresterhill Campus, Aberdeen, UK.

Funding

Cancer Research UK 18446Cancer Research UK C50862/A18446Medical Research Council G0901474
6 · The paper itself

Abstract

backgroundThe behavior change technique (BCT) taxonomy v1 is often used in systematic reviews for identifying active components of interventions. Its utility could be enhanced by linking BCTs to specific target behaviors and qualifying BCT delivery style. PURPOSE: To determine whether behavioral targets and delivery styles of BCTs can be coded reliably and to determine the utility of coding these characteristics.

methodsAs part of a large systematic review of 142 smoking cessation trials, two researchers independently coded publicly and privately held intervention and comparator group materials, specifying the behavioral target (quitting, abstinence, medication adherence, or treatment engagement) and delivery style (tailored vs. not tailored; active participation vs. passive receipt) of each BCT.

resultsResearchers coded 3,843 BCTs, which were reliably attributed to behavioral targets (AC1 = 0.92, PABAK = 0.91). Tailoring (AC1 = 0.80, PABAK = 0.74) and participation (AC1 = 0.71, PABAK = 0.64) were also coded reliably. There was considerable variability between groups in quitting and abstinence BCTs (ranges: 0-41; 0-18) and in tailoring and participation (ranges: 0-20; 0-32), but less variability for medication adherence and treatment engagement (ranges: 0-6; 0-7).

conclusionsBehavioral targets and delivery styles of BCTs can be reliably identified and occur with sufficient frequency in smoking cessation trials for inclusion in quantitative syntheses (e.g., meta-regression analyses). Systematic reviewers could consider adopting these methods to evaluate the impact of intervention components targeting different behaviors, as well as the benefits of different BCT delivery styles.

Indexed as

Behavior TherapyOutcome and Process Assessment, Health CareRandomized Controlled Trials as TopicSmoking CessationSystematic Reviews as TopicHumansBehavior change techniqueDelivery styleReliabilitySmoking cessationSystematic reviewTailoring

Identifiers

PMID30239563
PMCPMC6499411

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.