Evidence map›Paper›PMID 36385440›Full record

ArticleEuropean journal of cancer care2022

Patient preference attributes in eHealth interventions for cancer-related fatigue: A scoping review.

Lian Beenhakker, Annemieke Witteveen, Kim A E Wijlens, Ester J M Siemerink, Marije L van der Lee, Christina Bode, Sabine Siesling, Miriam M R Vollenbroek-Hutten

Open access · hybridAbstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of cancer care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Lian BeenhakkerDepartment of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-5514-2407
Annemieke WitteveenDepartment of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-5581-6478
Kim A E WijlensDepartment of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-8542-5494
Ester J M SiemerinkDepartment of Internal Medicine, Ziekenhuis Groep Twente, Hengelo, The Netherlands.
Marije L van der LeeScientific Research Department, Helen Dowling Institute, Bilthoven, The Netherlands.ORCID https://orcid.org/0000-0002-1316-7008
Christina BodeDepartment of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands.
Sabine SieslingDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-0273-824X
Miriam M R Vollenbroek-HuttenDepartment of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.
University of Twente · NLMedisch Spectrum Twente · NLNetherlands Comprehensive Cancer Organisation · NLTilburg University · NLZiekenhuis Groep Twente · NL

Funding

KWF KankerbestrijdingNWO Domain AESPPP Allowance
6 · The paper itself

Abstract

introductionCancer-related fatigue (CRF) is one of the most reported long-term effects breast cancer patients experience after diagnosis. Many interventions for CRF are effective, however, not for every individual. Therefore, intervention advice should be adjusted to patients' preferences and characteristics. Our aim was to develop an overview of eHealth interventions and their (preference sensitive) attributes.

methodseHealth interventions were identified using a scoping review approach. Eligible studies included breast cancer patients and assessed CRF as outcome. Interventions were categorised as physical activity, mind-body, psychological, 'other' or 'combination'. Information was extracted on various (preference sensitive) attributes, like duration, intensity, peer support and costs.

resultsThirty-five interventions were included and divided over the intervention categories. (Preference sensitive) attributes varied both within and between these categories. Duration varied from 4 weeks to 6 months, intensity from daily to own pace. Peer support was present in seven interventions and costs were known for six.

conclusioneHealth interventions exist in various categories, additionally, there is much variation in (preference sensitive) attributes. This provides opportunities to implement our overview for personalised treatment recommendations for breast cancer patients struggling with CRF. Taking into account patients' preferences and characteristics suits the complexity of CRF and heterogeneity of patients.

Indexed as

Breast NeoplasmsTelemedicineExerciseFatigueFemaleHumansPatient Preferencebreast cancercancer-related fatigueeHealthinterventionspatient preferencescoping review

Identifiers

PMID36385440
PMCPMC9786794
OpenAlexW4309170418

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.