Evidence map›Paper›PMID 33126692›Full record

Trial reportInternational journal of environmental research and public health2020

Optimising Web-Based Computer-Tailored Physical Activity Interventions for Prostate Cancer Survivors: A Randomised Controlled Trial Examining the Impact of Website Architecture on User Engagement.

Amy Finlay, Holly Evans, Andrew Vincent, Gary Wittert, Corneel Vandelanotte, Camille E Short

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  4. Staying engaged: a scoping review of psychological and motivational drivers of adherence to technology-supported physical activity in older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
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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

6 authors at 3 institutions in 1 country.

Amy FinlayThe Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide 5000, SA, Australia.
Holly EvansThe Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide 5000, SA, Australia.
Andrew VincentThe Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide 5000, SA, Australia.
Gary WittertThe Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide 5000, SA, Australia.
Corneel VandelanottePhysical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton 4701, QLD, Australia.ORCID 0000-0002-4445-8094
Camille E ShortThe Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide 5000, SA, Australia.ORCID 0000-0002-4177-4251
Freemasons Foundation Centre for Men's Health · AUCentral Queensland University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeb-based computer-tailored interventions can assist prostate cancer survivors to become more physically active by providing personally relevant behaviour change support. This study aimed to explore how changing the website architecture (free choice vs. tunnelled) impacted engagement within a physical activity computer-tailored intervention targeting prostate cancer survivors.

methodsOn a 2:2:1 ratio, 71 Australian prostate cancer survivors with local or locally advanced disease (mean age: 66.6 years ± 9.66) were randomised into either a free-choice (N = 27), tunnelled (N = 27) or minimal intervention control arm (N =17). The primary outcome was differences in usage of the physical activity self-monitoring and feedback modules between the two intervention arms. Differences in usage of other website components between the two intervention groups were explored as secondary outcomes. Further, secondary outcomes involving comparisons between all study groups (including the control) included usability, personal relevance, and behaviour change.

resultsThe average number of physical activity self-monitoring and feedback modules accessed was higher in the tunnelled arm (M 2.6 SD 1.3) compared to the free-choice arm (M 1.5 SD 1.4),

conclusionThis study indicated that website architecture influences behavioural engagement. Further research is needed to examine the impact of differential usage on mechanisms of action and behaviour change.

Indexed as

Cancer SurvivorsExercise TherapyInternetAgedAustraliaComputersHumansMaleMiddle AgedProstatic Neoplasmsbehaviour changecancer survivorshipcomputer tailoringe-healthphysical activityuser engagementwebsite architecture

Identifiers

PMID33126692
PMCPMC7662822
OpenAlexW3095207257

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.