Evidence map›Paper›PMID 38269371›Full record

ArticleDigital health

Macro-engagement in mHealth: Exploring user engagement beyond the screen.

Camila Villegas Mejía, Danielle Remmerswaal, Rutger C M E Engels, Geke D S Ludden, Marilisa Boffo

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Optimization of a Mobile Transdiagnostic Emotion Regulation Intervention for University Students: A Micro-Randomized Trial.Stress and health : journal of the International Society for the Investigation of Stress · 2025
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  5. Review
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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

5 authors.

Camila Villegas MejíaErasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Netherlands.ORCID https://orcid.org/0000-0003-3849-3915
Danielle RemmerswaalErasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Netherlands.
Rutger C M E EngelsErasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Netherlands.
Geke D S LuddenFaculty of Engineering Technology, University of Twente, Netherlands.
Marilisa BoffoErasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While digital technology holds great promise for health and well-being, some users feel sceptical about the time they spend online and how they use their mobile devices. This attitude could hamper uptake of digital health technologies and engagement with them. This study uses the concept of macro-engagement as a starting point to investigate how users of digital behaviour change interventions (DBCIs) engage with their behaviour change goals beyond the screens of their tools. Thirty semi-structured interviews were conducted with individuals who take part in behaviour change processes in different ways (i.e. mental health professionals, digital health experts and users of DBCIs). A qualitative analysis of their data through a grounded theory approach highlighted a wide array of offscreen behaviors and strategies that complement a behavior change process offscreen. Furthermore, implications for designing technology that encourages progressive non-reliance on DBCI usage are drawn out.

Indexed as

Digital health generaldis-engagement‌engagementmacro-engagementmental health psychologymHealth psychologyqualitative studieswell-being psychology

Identifiers

PMID38269371
PMCPMC10807382

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.