Evidence map›Paper›PMID 39119221›Full record

ArticleClinical psychology in Europe2024

Feasibility and Acceptability of a Mobile App for Prolonged Grief Disorder Symptoms.

Anaïs Aeschlimann, Nicolas Gordillo, Taro Ueno, Andreas Maercker, Clare Killikelly

Abstract read
In one paragraph

Article in Clinical psychology in Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Anaïs AeschlimannDepartment of Psychology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-7049-5131
Nicolas GordilloDepartment of Informatics, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-1537-6719
Taro UenoSUSMED Inc., Tokyo, Japan.ORCID https://orcid.org/0000-0003-3697-4301
Andreas MaerckerDepartment of Psychology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-6925-3266
Clare KillikellyDepartment of Psychology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2661-4521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile apps provide a unique platform for mental health assessment and monitoring. They can provide real time, accessible data on symptoms of mental disorders that may yield rich data for detailed clinical assessment and help individuals gain insight into their current mental state. We developed one of the first apps for tracking symptoms of prolonged grief disorder. Method: In this pilot feasibility study, we assess the feasibility and acceptability of a new mobile app mGAGE for use once a day for 3 weeks. 27 participants completed mental health assessments at t1 and t2. Results: Adherence to the app protocol was very high with 100% for the first two weeks of use. A surprising finding was the improvement of grief symptoms at t2. Debriefing interviews revealed general qualitative categories including positive feedback, negative feedback and specific recommendations. Overall, the app was found to be feasible for use for the first two weeks and acceptable for bereaved individuals. Conclusions: This app could provide valuable data for in depth clinical assessment, may support individuals to gain greater insight into their symptoms and may have a therapeutic effect in terms of improved grief symptoms. Implications for future studies including use in larger intervention studies are discussed.

Indexed as

e-mental healthmobile appprolonged grief disorderself-monitoring intervention

Identifiers

PMID39119221
PMCPMC11303913

What OpenQuestion holds

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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.