Evidence map›Paper›PMID 31930477›Full record

ArticleActa psychiatrica Scandinavica2020

Digital navigators to implement smartphone and digital tools in care.

H Wisniewski, J Torous

Abstract read
In one paragraph

Article in Acta psychiatrica Scandinavica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

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

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  6. Evaluation of the effectiveness of the FOCUS ADHD App in monitoring adults with attention-deficit/hyperactivity disorder.European psychiatry : the journal of the Association of European Psychiatrists · 2023
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  7. Rethinking the prediction and prevention of dropout in digital mental health.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
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28 more citing papers are in PubMed but not listed here.

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

2 authors.

H WisniewskiDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
J TorousDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5362-7937

Funding

Digital Phenotyping for Computational Models of Relapse Prediction in Early Course PsychosisK23MH116130 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI TOROUS, JOHN · 2018 to 2021
$872k
NIMH NIH HHS K23 MH116130
6 · The paper itself

Abstract

While smartphone apps and other digital health tools have the clear potential to increase both quality of and access to care, actual successful implementation remains limited. Challenges often encountered in seeking to use apps in care include selecting safe/effective tools, spending clinical time troubleshooting technology instead of discussing health matters, and lack of time to check and review constant streams of data these digital tools can produce. In this 'From Research to Clinical Practice' piece, we focus on how a new care team member, the digital navigator, can help overcome these barriers through conducting evidence-based app evaluation to help in selecting the right apps, troubleshooting technology outside of visits to improve the therapeutic alliance during, and finally summarizing digital data to facilitate clinical care that focus on actionable data.

Indexed as

Mobile ApplicationsSmartphoneHumansInternet-Based InterventionPatient Navigationappsdigital healthinternet therapyoutcome

Identifiers

PMID31930477
PMCPMC7928068

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.