Evidence map›Paper›PMID 29023568›Full record

ArticlePloS one2017

Demonstrating the reliability of transdiagnostic mHealth Routine Outcome Monitoring in mental health services using experience sampling technology.

Simone J W Verhagen, Juliënne A Berben, Carsten Leue, Anne Marsman, Philippe A E G Delespaul, Jim van Os, Richel Lousberg

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Opening the contextual black box: a case for idiographic experience sampling of context for clinical applications.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  4. Article
  5. Article
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  7. Article
  8. Article
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  10. Huisarts en wetenschap · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Usability of the Experience Sampling Method in Parkinson's Disease on a Group and Individual Level.Movement disorders : official journal of the Movement Disorder Society · 2020
    Article
  20. Review
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.

Simone J W VerhagenDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.ORCID http://orcid.org/0000-0002-5364-6994
Juliënne A BerbenDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Carsten LeueDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Anne MarsmanDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Philippe A E G DelespaulDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Jim van OsDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Richel LousbergDepartment of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoutine Outcome Monitoring (ROM) should provide a dynamic, within-treatment forward feedback loop to guide individual treatment decisions across diagnostic categories. It has been suggested that the Experience Sampling Method (ESM), capturing the film of daily life adaptive processes, offers a flexible, personalised and transdiagnostic feedback system for monitoring and adapting treatment strategies. This is the first study that uses an ESM application (the PsyMate™) as a routine mobile-ROM (mROM) tool in an ambulatory mental health setting.

objectiveTo demonstrate adequate psychometric properties of the PsyMate™ app assessing both symptom severity levels as well as daily life functioning.

methodIn a transdiagnostic sample of 64 outpatients, an mROM protocol (ESM for 6 days, at 10 semi-random moments a day) and a standard ROM instrument (HADS) were administered at baseline and at three-month follow-up. We measured positive affect (PA), negative affect (NA), quality of sleep, positive social interaction, activity-related stress, tiredness, and feeling unwell.

resultsSubjects completed 53% of the measurements at baseline (N = 64) and 48% at follow-up (N = 29). Factor analysis and subsequent reliability analysis of PA and NA confirmed the two constructs. Significant and meaningful correlations were found between PA, NA and HADS scores (ranging from r = .4 to r = .7). Multilevel analyses yielded significant change scores for all measures.

conclusionThe ESM-based, transdiagnostic mROM tool can be used reliably in clinical settings: it shows adequate psychometric properties, as well as concurrent validity and sensitivity to change over time with respect to relevant ROM constructs. Person-tailored items can be added. In addition, mROM offers added value over standard symptom-based ROM, as it provides information on adaptive functioning in the daily environment of patients.

Indexed as

Mental HealthPatient Outcome AssessmentAdultFemaleHumansMajor Depressive DisorderMalePatient ParticipationQuality of LifeReproducibility of Results

Identifiers

PMID29023568
PMCPMC5638497

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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.