Evidence map›Paper›PMID 28704442›Full record

ArticlePloS one2017

Health professionals' perspective on the promotion of e-mental health apps in the context of maternal depression.

Michaela Sprenger, Tobias Mettler, Jorge Osma

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 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Connected Mental Health: Systematic Mapping Study.Journal of medical Internet research · 2020
    Review
  19. Article
  20. AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    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

3 authors.

Michaela SprengerUniversity of St. Gallen, Institute of Information Management, St. Gallen, Switzerland.
Tobias MettlerUniversity of Lausanne, Swiss Graduate School of Public Administration, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-7895-7545
Jorge OsmaUniversity of Zaragoza, Department of Psychology and Sociology, Teruel, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur study focuses on exploring (1) the intention of health professionals to use and recommend e-mental health applications, (2) how this intention of health professionals might be influenced, (3) which group of health professionals might be most accessible to promote e-mental health applications for maternal depression, and (4) for which tasks they rate them to be most useful. MATERIALS AND

methodsBased on a questionnaire informed by the theory of planned behavior, we collected 131 responses of U.S., Spanish, and Swiss health professionals in the field of pregnancy and maternal care (including psychologists, psychiatrists, midwives, and doctors) by means of an online survey. We analyzed the gathered data applying a structured equation model.

resultsOur study reveals that health professionals would in general intend to recommend and use e-mental health applications. However, their attitude towards e-mental health applications varies regarding the respective use cases and also differs among health professions.

conclusionWe offer three alternative propositions for private or public organizations, associations, or any other entity whose purpose is service to the community for introducing e-mental health applications into practice.

Indexed as

Attitude of Health PersonnelMental HealthMobile ApplicationsDepression, PostpartumFemaleHumansMaleTelemedicine

Identifiers

PMID28704442
PMCPMC5507525

What OpenQuestion holds

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LicenceCC BY
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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.