Evidence map›Paper›PMID 28234658›Full record

ReviewHarvard review of psychiatry

Methodology and Reporting of Mobile Heath and Smartphone Application Studies for Schizophrenia.

John Torous, Joseph Firth, Nora Mueller, J P Onnela, Justin T Baker

Abstract readReview
In one paragraph

Review in Harvard review of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Toward reducing the duration of untreated psychosis in a Latinx community.Journal of consulting and clinical psychology · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  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

5 authors.

John TorousFrom Harvard Medical School (Drs. Torous and Baker); Department of Psychiatry and Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA (Dr. Torous); Institute of Brain, Behaviour and Mental Health, University of Manchester (Mr. Firth); Psychotic Disorders Division, McLean Hospital, Belmont, MA (Ms. Mueller and Dr. Baker); Department of Biostatistics, Harvard T. H. Chan School of Public Health (Dr. Onnela).
Joseph Firth
Nora Mueller
J P Onnela
Justin T Baker

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Using mobile phones for social and behavioral sensing of mood disorder patientsDP2MH103909 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI ONNELA, JUKKA-PEKKA · 2013 to 2013
$2.4M
Frontoparietal Network Integrity and Risk for PsychosisK23MH104515 · NIMH · MCLEAN HOSPITAL · PI BAKER, JUSTIN T · 2014 to 2018
$907k
NIMH NIH HHS DP2 MH103909NIMH NIH HHS K23 MH104515NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

The increasing prevalence of mobile devices among patients of all demographic groups has the potential to transform the ways we diagnose, monitor, treat, and study mental illness. As new tools and technologies emerge, clinicians and researchers are confronted with an increasing array of options both for clinical assessment, through digital capture of the essential behavioral elements of a condition, and for intervention, through formalized treatments, coaching, and other technology-assisted means of patient communication. And yet, as with any new set of tools for the assessment or treatment of a medical condition, establishing and adhering to reporting guidelines-that is, what works and under what conditions-is an essential component of the translational research process. Here, using the recently published World Health Organization mHealth Evaluation, Reporting and Assessment guidelines for evaluating mobile health applications, we review the methodological strengths and weaknesses of existing studies on smartphones and wearables for schizophrenia. While growing evidence supports the feasibility of using mobile tools in severe mental illness, most studies to date failed to adequately report accessibility, interoperability, costs, scalability, replicability, data security, usability testing, or compliance with national guidelines or regulatory statutes. Future research efforts addressing these specific gaps in the literature will help to advance our understanding and to realize the clinical potential of these new tools of psychiatry.

Indexed as

Mobile ApplicationsSchizophreniaSmartphoneDisease ManagementGuideline AdherenceHumansTelemedicineWorld Health Organization

Identifiers

PMID28234658
PMCPMC5419869

What OpenQuestion holds

Textmetadata
LicenceTDM
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.