Evidence map›Paper›PMID 35768544›Full record

ReviewNPJ digital medicine2022

A systematic review of engagement reporting in remote measurement studies for health symptom tracking.

Katie M White, Charlotte Williamson, Nicol Bergou, Carolin Oetzmann, Valeria de Angel, Faith Matcham, Claire Henderson, Matthew Hotopf

Open access · goldAbstract readReview
In one paragraph

Review in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  15. Recruitment and retention of adolescents for an ecological momentary assessment measurement burst mental health study: The MHIM engagement strategy.Health expectations : an international journal of public participation in health care and health policy · 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 at 2 institutions in 1 country.

Katie M WhiteDepartment of Psychological Medicine, King's College London, London, UK. Katie.white@kcl.ac.uk.
Charlotte WilliamsonKing's Centre for Military Health Research, King's College London, London, UK.ORCID http://orcid.org/0000-0003-2104-921X
Nicol BergouDepartment of Psychosis Studies, King's College London, London, UK.ORCID http://orcid.org/0000-0002-2408-1226
Carolin OetzmannDepartment of Psychological Medicine, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1480-917X
Valeria de AngelDepartment of Psychological Medicine, King's College London, London, UK.ORCID http://orcid.org/0000-0002-5109-3636
Faith MatchamDepartment of Psychological Medicine, King's College London, London, UK.
Claire HendersonHealth Service & Population Research Department, King's College London, London, UK.
Matthew HotopfDepartment of Psychological Medicine, King's College London, London, UK.
King's College London · GBNational Health Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote Measurement Technologies (RMTs) could revolutionise management of chronic health conditions by providing real-time symptom tracking. However, the promise of RMTs relies on user engagement, which at present is variably reported in the field. This review aimed to synthesise the RMT literature to identify how and to what extent engagement is defined, measured, and reported, and to present recommendations for the standardisation of future work. Seven databases (Embase, MEDLINE and PsycINFO (via Ovid), PubMed, IEEE Xplore, Web of Science, and Cochrane Central Register of Controlled Trials) were searched in July 2020 for papers using RMT apps for symptom monitoring in adults with a health condition, prompting users to track at least three times during the study period. Data were synthesised using critical interpretive synthesis. A total of 76 papers met the inclusion criteria. Sixty five percent of papers did not include a definition of engagement. Thirty five percent included both a definition and measurement of engagement. Four synthetic constructs were developed for measuring engagement: (i) engagement with the research protocol, (ii) objective RMT engagement, (iii) subjective RMT engagement, and (iv) interactions between objective and subjective RMT engagement. The field is currently impeded by incoherent measures and a lack of consideration for engagement definitions. A process for implementing the reporting of engagement in study design is presented, alongside a framework for definition and measurement options available. Future work should consider engagement with RMTs as distinct from the wider eHealth literature, and measure objective versus subjective RMT engagement.Registration: This review has been registered on PROSPERO [CRD42020192652].

Identifiers

PMID35768544
PMCPMC9242990
OpenAlexW4283765856

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.