Evidence map›Paper›PMID 34784385›Full record

ArticlePloS one2021

#LetsUnlitterUK: A demonstration and evaluation of the Behavior Change Wheel methodology.

Julia Kolodko, Kelly Ann Schmidtke, Daniel Read, Ivo Vlaev

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. General practice chlamydia testing: a qualitative study of staff approaches using behavioural change theory.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  4. Enhancing Sensory Experiences for Infants Born Preterm: A Quality Improvement Project.Archives of rehabilitation research and clinical translation · 2024
    Review
  5. Article
  6. Article
  7. Article
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

4 authors.

Julia KolodkoWarwick Business School, The University of Warwick Coventry, Coventry, United Kingdom.
Kelly Ann SchmidtkeWarwick Medical School, The University of Warwick Coventry, Coventry, United Kingdom.ORCID 0000-0001-5993-0358
Daniel ReadWarwick Business School, The University of Warwick Coventry, Coventry, United Kingdom.
Ivo VlaevWarwick Business School, The University of Warwick Coventry, Coventry, United Kingdom.

Funding

Department of Health NIHR200165
6 · The paper itself

Abstract

The Behavior Change Wheel is the most comprehensive and practically useful methodology available for developing behavior change interventions. The current article demonstrates how it can be applied to optimize pro-environmental behaviors and, in so doing, give interventionists access to a rigorous set of theories and techniques for systematically developing pro-environmental interventions. Section 1 describes the development of an intervention to increase people's intentions to post anti-littering messages on social media. Study 2 describes the development and evaluation of an intervention to increase people's actual anti-littering posts. Both evaluations are randomized controlled trials that compare the effectiveness of the developed intervention with interventions less informed by the Wheel. We found interventions completely informed by the Wheel to be more effective than interventions less (or not at all) informed by the Wheel. The discussion explores how the Behavior Change Wheel methodology can be used to design future pro-environment interventions.

Indexed as

Conservation of Natural ResourcesSocial MediaAdultFemaleHumansMaleYoung Adult

Identifiers

PMID34784385
PMCPMC8594830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.