Evidence map›Paper›PMID 38089639›Full record

ArticleHealth psychology research2023

PERCEPTIONS AND EXPERIENCES OF M-HEALTH TECHNOLOGIES AND SOCIAL MEDIA: A QUALITATIVE STUDY IN PATIENTS WITH SCHIZOPHRENIA.

Pasquale Caponnetto, Maria Salvina Signorelli, Jennifer Tiralongo, Alessandro Rodolico, Carmen Concerto, Antonino Petralia, Lucio Inguscio

Abstract read
In one paragraph

Article in Health psychology research, 2023. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Pasquale CaponnettoDepartment of Educational Sciences, Section of Psychology University of Catania, 95121 Catania, Italy.
Maria Salvina SignorelliDepartment of Clinical and Experimental Medicine, Psychiatry Unit University of Catania, 95123 Catania, Italy.
Jennifer TiralongoDepartment of Educational Sciences, Section of Psychology University of Catania, 95121 Catania, Italy.
Alessandro RodolicoDepartment of Clinical and Experimental Medicine, Psychiatry Unit University of Catania, 95123 Catania, Italy.
Carmen ConcertoDepartment of Clinical and Experimental Medicine, Psychiatry Unit University of Catania, 95123 Catania, Italy.
Antonino PetraliaDepartment of Clinical and Experimental Medicine, Psychiatry Unit University of Catania, 95123 Catania, Italy.
Lucio InguscioDepartment of Dynamic, Clinical Psychology and Health Studies, Faculty of Medicine and Psychology Sapienza University of Rome, 00185 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing influence of technology in the realm of mental health presents promising prospects for patients with psychiatric disorders like schizophrenia. The objective of this study is to investigate the perceptions of individuals with schizophrenia spectrum disorder regarding the utilization of technology and social media. The qualitative methodology used consists of an individual structured interview and the data were subjected to thematic analysis. The results show that the participants use digital tools for various activities such as work, searching for information, entertainment, and socialising. Their perceptions confirm the usefulness and easy accessibility of these tools, which enable positive changes in the organisation of daily life and social relationships. In general, it is possible to identify both positive and negative aspects of technology and social media, such as abuse and addictive behaviour, network and information overload problems, and the risk that privacy may not be guaranteed; among the positive ones, the promotion of remote sociability, speed in carrying out tasks and acquiring useful information emerge. Most of the participants express a positive perception of the possibility that digital tools can help in the field of mental health.

Indexed as

m-healthmobile digital toolsmobile technologies.schizophreniasocial media

Identifiers

PMID38089639
PMCPMC10712558

What Socratic holds

Textmetadata
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 Socratic graph.