Evidence map›Paper›PMID 37920867›Full record

ArticleFrontiers in digital health2023

m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice.

Merijn Mestdagh, Stijn Verdonck, Maarten Piot, Koen Niemeijer, Ghijs Kilani, Francis Tuerlinckx, Peter Kuppens, Egon Dejonckheere

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06430476 (Ecological Momentary Intervention), which is not on this map. Cited by 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 1 pooled it
30.0field-weighted citation impact, top 1% 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.

NCT06430476 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Ecological Momentary Intervention (EMI) as Augmentative Therapy for Depression in Clinical Sample in Hong Kong

TypeinterventionalSponsorThe University of Hong KongRan2024 to 2025Enrolled80ConditionsMild to Moderate DepressionArmsEMI, EMA
3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 1 synthesis or guideline pooled it, 153 citations in OpenAlex.

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49 more citing papers are in PubMed but not listed here.

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 1 institution in 2 countries.

Merijn Mestdagh *Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Stijn Verdonck *Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Maarten PiotFaculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Koen NiemeijerFaculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Ghijs KilaniFaculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Francis TuerlinckxFaculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Peter KuppensFaculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
Egon DejonckheereFaculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
KU Leuven · BE

Funding

Wellcome Trust
6 · The paper itself

Abstract

In this paper, we present m-Path (www.m-Path.io), an online platform that provides an easy-to-use and highly tailorable framework for implementing smartphone-based ecological momentary assessment (EMA) and intervention (EMI) in both research and clinical practice in the context of blended care. Because real-time monitoring and intervention in people's everyday lives have unparalleled benefits compared to traditional data collection techniques (e.g., retrospective surveys or lab-based experiments), EMA and EMI have become popular in recent years. Although a surge in the use of these methods has led to a myriad of EMA and EMI applications, many existing platforms only focus on a single aspect of daily life data collection (e.g., assessment vs. intervention, active self-report vs. passive mobile sensing, research-dedicated vs. clinically-oriented tools). With m-Path, we aim to integrate all of these facets into a single platform, as it is exactly this all-in-one approach that fosters the clinical utility of accumulated scientific knowledge. To this end, we offer a comprehensive platform to set up complex and highly adjustable EMA and EMI designs with advanced functionalities, using an intuitive point-and click web interface that is accessible for researchers and clinicians with limited programming skills. We discuss the strengths of daily life data collection and intervention in general and m-Path in particular. We describe the regular workflow to set up an EMA or EMI design within the m-Path framework, and summarize both the basic functionalities and more advanced features of our software.

Indexed as

ambulatory assessmentblended caredaily lifeexperience samplingjust-in-time adaptive interventionsmental healthmobile sensingsmartphones

Identifiers

PMID37920867
PMCPMC10619650
OpenAlexW4387742524

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.