Evidence map›Paper›PMID 40939172›Full record

ArticleJournal of medical Internet research2025

A Design Framework for Microintervention Software Technology in Digital Health: Critical Interpretive Synthesis.

Dan Roland Persson, Mel Ramasawmy, Nushrat Khan, Amitava Banerjee, Ann Blandford, Jakob Eyvind Bardram, Per Bækgaard

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Dan Roland PerssonDepartment of Computer Science, University of Copenhagen, Copenhagen N, Denmark.ORCID https://orcid.org/0000-0002-4258-6949
Mel RamasawmyInstitute of Health Informatics, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4864-8565
Nushrat KhanInstitute of Health Informatics, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4521-0920
Amitava BanerjeeInstitute of Health Informatics, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8741-3411
Ann BlandfordUniversity College London Interaction Centre, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3198-7122
Jakob Eyvind BardramDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0003-1390-8758
Per BækgaardDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0002-6720-1128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many digital health interventions have been studied in human-computer interaction, long-term engagement remains a challenge. Microinterventions that leverage small but meaningful steps toward health outcomes have been proposed as a method for providing flexible and engaging, yet short and focused, interventions. One way to mitigate the potentially limiting scope of each microintervention is through narratives combining multiple different microinterventions over time to facilitate greater effects and engagement. As an emerging field of research, significant focus has thus far been placed on the creation and testing of individual microinterventions with little consideration for the consolidated experience, that is, the narrative over time. A more concise terminology and framework could make it easier to design, evaluate, and compare systems for microinterventions, facilitate collaboration in the field, and foster communication across required disciplines.

objectiveThis paper aims to provide a framework for the creation of microintervention systems and the narratives served by these through their microinterventions.

methodsTo synthesize a framework, we carried out a critical interpretive synthesis involving reciprocal translational analysis, refutational synthesis, and lines-of-argument synthesis, based on a systematic review of microintervention literature following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines across the Association for Computing Machinery Digital Library, PubMed, Scopus, and Web of Science. To assess the resulting framework, we applied it retroactively back onto the literature.

resultsBased on a review including 35 studies, of which 80% (n=28) were published after 2020, we present and rationalize the Design for Microintervention Software Technology (D-MIST) framework, which can be used to better classify, design, and evaluate microinterventions. D-MIST defines a microintervention system on three levels: (1) the narrative, (2) the microintervention, and (3) the event. The narrative is the consolidated experience of engaging with multiple microinterventions over time, supporting a narrative goal, for example, a clinical goal. A microintervention is a highly focused intervention consisting of self-contained events aiming to facilitate small but meaningful steps toward the narrative goal. The event attempts a positive momentary change through a resource, for example, an exercise. Events may, for example, be designed for single use, present variations to facilitate engagement, or present order-dependent sequential resources. We additionally discuss supporting constructs, such as decision rules, conceptual models, and the system's interaction model, that is, how the system interacts with the user through its design and other actors to create a consolidated narrative.

conclusionsThe resulting D-MIST framework, based on current state-of-the-art literature, describes the components of microintervention systems and how these contribute to a consolidated experience. Based hereon, we suggest opportunities for personalization of microintervention systems, discuss design guidelines, and the roles of actors in creating health narratives aiming to obtain better distal health outcomes.

Indexed as

SoftwareSoftware DesignDigital HealthDigital TechnologyHumansdigital healthframeworkmicrointerventionmicro interventionsmicro-interventionsmicrointerventionsnarrativepersonalization

Identifiers

PMID40939172
PMCPMC12475881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.