Evidence map›Paper›PMID 31675951›Full record

ArticleBMC public health2019

Using theory of change to develop an intervention theory for designing and evaluating behavior change SDApps for healthy eating and physical exercise: the OCAPREV theory.

Olivier Aromatario, Aurélie Van Hoye, Anne Vuillemin, Aude-Marie Foucaut, Jeanine Pommier, Linda Cambon

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

6 authors.

Olivier AromatarioUMR 6051 ARENES, EHESP, 20 avenue George Sand, La Plaine Saint Denis, 93210, Paris, France. olivier.aromatario@ehesp.fr.ORCID http://orcid.org/0000-0003-0118-4801
Aurélie Van HoyeEA 4360, APEMAC, Université de Lorraine, Nancy, France.
Anne VuilleminUniversité Côte d'Azur, LAMHESS, Nice, France.
Aude-Marie FoucautUniversité Paris 13, Sorbonne Paris Cité, Laboratoire Educations et Pratiques de Santé (LEPS) EA 3412, UFR SMBH, F-93017, Bobigny, France.
Jeanine PommierUMR 6051 ARENES, EHESP, 20 avenue George Sand, La Plaine Saint Denis, 93210, Paris, France.
Linda CambonChaire de Prévention, ISPED, Centre de recherche U1219 Bordeaux Population Health, Université de Bordeaux, Bordeaux, France.

Funding

Institut National de la Santé et de la Recherche Médicale 2016-15
6 · The paper itself

Abstract

backgroundConnected health devices and applications (referred to hereafter as "SDApps" - Smart devices and applications) are being portrayed as a new way for prevention, with the promise of accessibility, effectiveness and personalization. Many effectiveness evaluations (experimental designs) with strong internal validity exist. While effectiveness does appear to vary, the mechanisms used by these devices have not yet been thoroughly investigated. This article seeks to unpack this black box, and describes the process of elaboration of an intervention theory for healthy eating and physical activity SDApps. It includes a set of requirements relative to their impact on social health inequalities.

methodsTo build this theory, we drew on theory-driven approaches and in particular on the theory of change (ToC) method. To this end, we developed a cumulative and iterative process combining scientific data from the literature with knowledge from experts (researchers and practitioners) and from patients or users. It was a 3-step process, as follows: 1 - identifying the evidence base; 2 - developing the theory through design intervention and creating realistic expectations, including in our case specific work on social health inequalities (SHIs); 3 - modeling process and outcome.

resultsWe produced an evidence-based theory according to the ToC model, based on scientific evidence and knowledge from experts and users. It sets out a causal pathway leveraging 11 key mechanisms - theoretical domains - with which 50 behavior change techniques can be used towards 3 ultimate goals: Capacity, Opportunity, Motivation - Behavior (COM-B). Furthermore, the theory specifically integrates requirements relative to the impact on SHIs.

conclusionsThis theory is an aid to SDAapp design and evaluation and it can be used to consider the question of the possible impact of SDApps on the increase in inequalities. Firstly, it enables developers to adopt a more overarching and thorough approach to supporting behavior change, and secondly it encourages comprehensive and contributive evaluations of existing SDApps. Lastly, it allows health inequalities to be fully considered.

Indexed as

Mobile ApplicationsPsychological TheoryDiet, HealthyExerciseHealth PromotionHumansAppsBehaviorComplex interventionsEffectivenessE-healthFrameworkHealthy eatingPhysical activityPreventionTheory of change

Identifiers

PMID31675951
PMCPMC6824130

What OpenQuestion holds

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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.