Evidence map›Paper›PMID 30135840›Full record

ArticleInternet interventions2017

ULTEMAT: A mobile framework for smart ecological momentary assessments and interventions.

Pepijn van de Ven, Hugh O'Brien, Ricardo Henriques, Michel Klein, Rachel Msetfi, John Nelson, Artur Rocha, Jeroen Ruwaard, Donal O'Sullivan, Heleen Riper and 1 more

Abstract read
In one paragraph

Article in Internet interventions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Context-Aware Delivery of Ecological Momentary Assessment.IEEE journal of biomedical and health informatics · 2020
    Article
  9. Article
  10. Review
  11. An expandable approach for design and personalization of digital, just-in-time adaptive interventions.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  12. Article
  13. Article
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

11 authors.

Pepijn van de VenUniversity of Limerick, Limerick, Ireland.
Hugh O'BrienUniversity of Limerick, Limerick, Ireland.
Ricardo HenriquesINESC TEC, Porto, Portugal.
Michel KleinVU University, Amsterdam, The Netherlands.
Rachel MsetfiUniversity of Limerick, Limerick, Ireland.
John NelsonUniversity of Limerick, Limerick, Ireland.
Artur RochaINESC TEC, Porto, Portugal.
Jeroen RuwaardVU University, Amsterdam, The Netherlands.
Donal O'SullivanUniversity of Limerick, Limerick, Ireland.
Heleen RiperVU University, Amsterdam, The Netherlands.
E-COMPARED Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we introduce a new Android library, called ULTEMAT, for the delivery of ecological momentary assessments (EMAs) on mobile devices and we present its use in the MoodBuster app developed in the H2020 E-COMPARED project. We discuss context-aware, or event-based, triggers for the presentation of EMAs and discuss the potential they have to improve the effectiveness of mobile provision of mental health interventions as they allow for the delivery of assessments to the patients when and where these are most appropriate. Following this, we present the abilities of ULTEMAT to use such context-aware triggers to schedule EMAs and we discuss how a similar approach can be used for Ecological Momentary Interventions (EMIs).

Indexed as

Context awarenessEMAExperience samplingIn the moment assessments

Identifiers

PMID30135840
PMCPMC6096290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.