Evidence map›Paper›PMID 35224474›Full record

ArticleTransportation research interdisciplinary perspectives2022

Developing public transport messaging to provide crowding information during COVID-19: Application of the COM-B model and behaviour change wheel.

Adele Krusche, Laura Wilde, Daniela Ghio, Cora Morrissey, Alex Froom, Daniel Chick

Abstract read
In one paragraph

Article in Transportation research interdisciplinary perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Adele KruscheZipabout Limited, 1 Chapel Court, Holly Walk, Leamington Spa CV32 4YS, UK.
Laura WildeZipabout Limited, 1 Chapel Court, Holly Walk, Leamington Spa CV32 4YS, UK.
Daniela GhioSchool of Health and Society, L818 Allerton Building, University of Salford, Manchester M6 6PU, UK.
Cora MorrisseyZipabout Limited, 1 Chapel Court, Holly Walk, Leamington Spa CV32 4YS, UK.
Alex FroomZipabout Limited, 1 Chapel Court, Holly Walk, Leamington Spa CV32 4YS, UK.
Daniel ChickZipabout Limited, 1 Chapel Court, Holly Walk, Leamington Spa CV32 4YS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak meant that using public transport was potentially unsafe for risk of catching and transmitting the virus. UK anxiety is high with lockdowns preventing a normal way of life for over a year. A lack of ability to travel freely causes numerous declines in quality of life including social isolation and poor physical and mental health. People need crowding information to choose safer travel options and subdue coronavirus. To provide effective guidance, it is essential to empirically formulate messaging to create clarity and trust which can be acted upon in confidence. Behaviour Change Techniques incorporating the Behaviour Change Wheel and COM-B model have been utilised in vast areas of public health intervention development and messaging. There is consensus that public transport information needs to be clearer and more accessible but BCTs have not been utilised in the development of public transport advice. This paper outlines the development of crowding messaging for public transport on a platform available to UK travellers. Barriers and facilitators were explored; related behaviours, intervention functions and behaviour change techniques were mapped. Specific message phrasing was developed utilising the mapped functions and advice from the literature. With the COVID-19 outbreak, having accessible and effective messaging for safely using public transport is a continuation of the work recently conducted examining the best ways to present public health information. It is important to be transparent when developing messaging and interventions accessible to the public and this work forms a basis for continued exploration and development in this area.

Indexed as

Behaviour changeCOVID-19Crowding informationIntervention development public health messagesPublic transport

Identifiers

PMID35224474
PMCPMC8860671

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.