Evidence map›Paper›PMID 40103643›Full record

ArticleDigital health

Mental Health Staff's Views on Social Media Use Among People with Psychosis: A Cross-Sectional Survey.

Xiaolong Zhang, Natalie Berry, Sandra Bucci

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaolong ZhangDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0003-2964-0485
Natalie BerryDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
Sandra BucciDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-6197-5333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The use of social media is prevalent in society; however, existing evidence is not sufficient to conclude whether the benefits of social media use can outweigh the risks for people with psychosis. In response to a recent call for staff to take a more active role in asking and advising service users about the impact of using social media platforms on their mental health in clinical practice, we sought to understand staff's attitudes toward service users with psychosis using social media in day-to-day life. Methods: A cross-sectional survey was disseminated from April 2018 to September 2020 in Mental Health Trusts in the Northwest of England. Results: A total of 155 staff completed the survey. We found that staff's social media use was high; however, as expected, social media was less used for communicating between staff and service users than other digital technologies (i.e., email and text messages). Moreover, staff's awareness of NHS Trust guidelines around communicating with service users via digital technology was limited. Conclusion: Despite staff views towards service user engagement with social media being mixed, as both benefits and concerns were reported, we need to ensure staff do not overestimate its risks or underestimate its benefits, so that they can offer tailored advice on social media use based on service users' individual circumstances.

Indexed as

digitalehealthmhealthpsychosisSocial mediastaff viewssurvey

Identifiers

PMID40103643
PMCPMC11915250

What OpenQuestion holds

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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.