Evidence map›Paper›PMID 35943762›Full record

ArticleJMIR mental health2022

A Web-Based Application for Personalized Ecological Momentary Assessment in Psychiatric Care: User-Centered Development of the PETRA Application.

Fionneke M Bos, Lino von Klipstein, Ando C Emerencia, Erwin Veermans, Tom Verhage, Evelien Snippe, Bennard Doornbos, Grietje Hadders-Prins, Marieke Wichers, Harriëtte Riese

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
10.9field-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.

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

32 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Development and evaluation of an intelligent individualized nutrition management (iNutrition) applet for postdischarge gastric cancer patients following gastrectomy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  13. 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
  14. Article
  15. Article
  16. Article
  17. Predicting the outcome of psychotherapy for chronic depression by person-specific symptom networks.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024
    Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Fionneke M Bos *Rob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-9630-0440
Lino von KlipsteinInterdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-5098-0372
Ando C EmerenciaResearch Support, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-3169-9753
Erwin VeermansRob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-9808-9343
Tom VerhageInterdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-9788-4935
Evelien SnippeInterdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-3003-7475
Bennard DoornbosLentis Research, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-5013-3501
Grietje Hadders-PrinsRob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0001-7951-6007
Marieke WichersInterdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0001-5024-9064
Harriëtte RieseInterdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0003-3661-3151
University Medical Center Groningen · NLLentis · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphone self-monitoring of mood, symptoms, and contextual factors through ecological momentary assessment (EMA) provides insights into the daily lives of people undergoing psychiatric treatment. Therefore, EMA has the potential to improve their care. To integrate EMA into treatment, a clinical tool that helps clients and clinicians create personalized EMA diaries and interpret the gathered data is needed.

objectiveThis study aimed to develop a web-based application for personalized EMA in specialized psychiatric care in close collaboration with all stakeholders (ie, clients, clinicians, researchers, and software developers).

methodsThe participants were 52 clients with mood, anxiety, and psychotic disorders and 45 clinicians (psychiatrists, psychologists, and psychiatric nurses). We engaged them in interviews, focus groups, and usability sessions to determine the requirements for an EMA web application and repeatedly obtained feedback on iteratively improved high-fidelity EMA web application prototypes. We used human-centered design principles to determine important requirements for the web application and designed high-fidelity prototypes that were continuously re-evaluated and adapted.

resultsThe iterative development process resulted in Personalized Treatment by Real-time Assessment (PETRA), which is a scientifically grounded web application for the integration of personalized EMA in Dutch clinical care. PETRA includes a decision aid to support clients and clinicians with constructing personalized EMA diaries, an EMA diary item repository, an SMS text message-based diary delivery system, and a feedback module for visualizing the gathered EMA data. PETRA is integrated into electronic health record systems to ensure ease of use and sustainable integration in clinical care and adheres to privacy regulations.

conclusionsPETRA was built to fulfill the needs of clients and clinicians for a user-friendly and personalized EMA tool embedded in routine psychiatric care. PETRA is unique in this codevelopment process, its extensive but user-friendly personalization options, its integration into electronic health record systems, its transdiagnostic focus, and its strong scientific foundation in the design of EMA diaries and feedback. The clinical effectiveness of integrating personalized diaries via PETRA into care requires further research. As such, PETRA paves the way for a systematic investigation of the utility of personalized EMA for routine mental health care.

Indexed as

client-tailoredclinical implementationcocreationecological momentary assessmenteHealthexperience sampling methodmHealthmobile healthmobile phonepersonalized diariespersonalized psychiatryshared decision-makingsmartphone

Identifiers

PMID35943762
PMCPMC9399881
OpenAlexW4290774621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.