Evidence map›Paper›PMID 33785987›Full record

ArticleEthik in der Medizin : Organ der Akademie fur Ethik in der Medizin2021

[Digital interventions for refugees. Challenges, opportunities, and perspectives of

Giovanni Rubeis

Open access · hybridAbstract readEnglish Abstract
In one paragraph

Article in Ethik in der Medizin : Organ der Akademie fur Ethik in der Medizin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Giovanni RubeisInstitut für Geschichte und Ethik der Medizin, Medizinische Fakultät, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 327, 69120 Heidelberg, Deutschland.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

definition of the problemRefugees show a high prevalence of mental health burden. Catering to the need for mental health services is made difficult by access barriers. These barriers consist of structural factors as well as culturally different attitudes towards mental health, mental illness, and therapeutic interventions. One option to overcome these access barriers and to provide mental healthcare services in an appropriate manner is seen in digital interventions. In the form of interactive websites or smartphone apps, these interventions have proven to be effective in mental healthcare. There are also promising examples of successful use of these technologies with refugees. However, the ethical aspects of digital interventions for refugees have scarcely been studied yet. ARGUMENTS: Aim of this paper is to tackle this research desiderate. The instrument of the ethical analysis to be conducted is the concept of agency. According to the concept of agency, persons have to be seen as actors capable of acting based on their own resources and competencies. Agency is the guiding principle here for analyzing the opportunities and risks of digital interventions for refugees. In addition, I will attempt to point out prospects for an agency-based application of digital interventions.

conclusionThe ethical analysis could be used as the blueprint for developing therapeutic concepts that contribute to the improvement of mental healthcare services for refugees from an ethical perspective.

Indexed as

AgencyDigital interventionsMental healthmHealthMigrationRefugees

Identifiers

PMID33785987
PMCPMC7994955
OpenAlexW3150335447

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.