Evidence map›Paper›PMID 28741202›Full record

ArticleJournal of cancer survivorship : research and practice2017

A user-centred approach to developing bWell, a mobile app for arm and shoulder exercises after breast cancer treatment.

Helena Harder, Patrick Holroyd, Lynn Burkinshaw, Phil Watten, Charles Zammit, Peter R Harris, Anna Good, Val Jenkins

Abstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 5 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

48 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Effectiveness of eHealth interventions in long-term follow-up care for breast and gynecological cancer survivors: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  17. Person-Generated Health Data in Women's Health: Scoping Review.Journal of medical Internet research · 2024
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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

8 authors.

Helena HarderSussex Health Outcomes Research and Education in Cancer (SHORE-C), Brighton and Sussex Medical School, University of Sussex, Brighton, UK. h.harder@sussex.ac.uk.ORCID http://orcid.org/0000-0002-7296-8227
Patrick HolroydSchool of Engineering and Informatics, University of Sussex, Brighton, UK.
Lynn BurkinshawSussex Health Outcomes Research and Education in Cancer (SHORE-C), Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
Phil WattenSchool of Engineering and Informatics, University of Sussex, Brighton, UK.
Charles ZammitBrighton and Sussex University Hospitals NHS Trust, Brighton, UK.
Peter R HarrisSchool of Psychology, University of Sussex, Brighton, UK.
Anna GoodSchool of Psychology, University of Sussex, Brighton, UK.
Val JenkinsSussex Health Outcomes Research and Education in Cancer (SHORE-C), Brighton and Sussex Medical School, University of Sussex, Brighton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aim was to develop a mobile application (app) supported by user preferences to optimise self-management of arm and shoulder exercises for upper-limb dysfunction (ULD) after breast cancer treatment.

methodsFocus groups with breast cancer patients were held to identify user needs and requirements. Behaviour change techniques were explored by researchers and discussed during the focus groups. Concepts for content were identified by thematic analysis. A rapid review was conducted to inform the exercise programme. Preliminary testing was carried out to obtain user feedback from breast cancer patients who used the app for 8 weeks post surgery.

resultsBreast cancer patients' experiences with ULD and exercise advice and routines varied widely. They identified and prioritised several app features: tailored information, video demonstrations of the exercises, push notifications, and tracking and progress features. An evidence-based programme was developed with a physiotherapist with progressive exercises for passive and active mobilisation, stretching and strengthening. The exercise demonstration videos were filmed with a breast cancer patient. Early user testing demonstrated ease of use, and clear and motivating app content.

conclusionsbWell, a novel app for arm and shoulder exercises, was developed by breast cancer patients, health care professionals and academics. Further research is warranted to confirm its clinical effectiveness. IMPLICATIONS FOR CANCER SURVIVORS: Mobile health has great potential to provide patients with information specific to their needs. bWell is a promising way to support breast cancer patients with exercise routines after treatment and may improve future self-management of clinical care.

Indexed as

ArmBreast NeoplasmsExercise TherapyHumansMiddle AgedMobile ApplicationsPhysical Therapy ModalitiesShoulderSurvivorsTelemedicineBreast cancerExerciseLymphoedemamHealthMobile appRehabilitationShoulder function

Identifiers

PMID28741202
PMCPMC5671540

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Registered trials

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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.