Evidence map›Paper›PMID 35789691›Full record

ArticleInternet interventions2022

Acceptance of E-mental health interventions and its determinants among psychotherapists-in-training during the first phase of COVID-19.

Robert Staeck, Marie Drüge, Stefan Albisser, Birgit Watzke

Abstract read
In one paragraph

Article in Internet interventions, 2022. 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

4 authors.

Robert StaeckDepartment of Psychology, University of Zurich, Binzmühlestrasse 14/16, CH-8050 Zurich, Switzerland.
Marie DrügeDepartment of Psychology, University of Zurich, Binzmühlestrasse 14/16, CH-8050 Zurich, Switzerland.
Stefan AlbisserDepartment of Psychology, University of Zurich, Binzmühlestrasse 14/16, CH-8050 Zurich, Switzerland.
Birgit WatzkeDepartment of Psychology, University of Zurich, Binzmühlestrasse 14/16, CH-8050 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although E-mental health (EMH) interventions have been shown to be effective in the treatment of mental health problems and empirical knowledge regarding EMH acceptance for different occupations in health care is established, little is known regarding EMH and psychotherapists-in-training. This seems particularly relevant as psychotherapists-in-training will shape the future health care system since they are as being the next generation of psychotherapists. With social distancing measures in place, COVID-19 has led to an increased demand for EMH, which is broadening the way psychological treatments are delivered. Objective: The present study aims to assess the acceptance of EMH and its determinants among psychotherapists-in-training of different EMH modalities and to retrospectively compare current acceptance with pre-COVID-19 times. Methods: Altogether, 29 training institutions in Switzerland and 232 training institutions in Germany were contacted, resulting in a sample of Results: Acceptance of EMH was moderate ( Discussion: Acceptance by psychotherapists-in-training was moderate and in line with prior research and comparable with other clinicians' acceptance scores. Conclusion: These findings underline the importance of the aforementioned determinants of EMH acceptance and the need for further studies investigating EMH acceptance in order to derive adequate educational programs and to facilitate dissemination among psychotherapists-in-training.

Indexed as

AcceptanceCOVID-19E-mental healthMental healthPsychotherapist-in-TrainingPsychotherapyUTAUT

Identifiers

PMID35789691
PMCPMC9242936

What OpenQuestion holds

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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.