Evidence map›Paper›PMID 37623165›Full record

ArticleInternational journal of environmental research and public health2023

Inside the Bell Jar of Social Media: A Descriptive Study Assessing YouTube Coverage of Psychotropic Medication Adherence.

Aysha Jawed, Nadia Zaim

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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

2 authors.

Aysha JawedJohns Hopkins Children's Center, Baltimore, MD 21287, USA.
Nadia ZaimJohns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global mental health crisis is a longstanding one that impacts a multitude of patient populations worldwide. Within this crisis, psychiatric medication adherence is yet another complex public health challenge that continues to persist and contribute towards the chronic nature of the increased incidence and prevalence of psychiatric morbidities, which in turn result in the sequalae of substantial costs to humanity, the healthcare system, lost productivity, functioning and disability among patients with mental disorders. Psychotropic medication adherence is a significant part of psychiatric care and treatment across severity levels of mental illness. This health behavior is also filled with complexities, given the abundance of social and behavioral determinants as well as intrinsic and extrinsic factors that surround this health behavior. Examining contexts for promoting this health behavior change is crucial in determining directions for addressing it more optimally. There have been several published studies on considerations and interventions to address this health behavior; however, to date, no studies have been published on assessing coverage and directions of content across social media platforms, which trend as a rising health communication medium in our digital era. The present study is the first of its kind to dive into exploring the nature of widely viewed content and deliverers of this content on a prominent social media platform, YouTube, as the basis to determine potential directions for future intervention that can extend to reaching more patients struggling with this high-risk health behavior across the world, given the global reach of social media.

Indexed as

Social MediaHealth BehaviorHumanitiesHumansMedication AdherencePsychotropic DrugsPsychotropic Drugsdigital healthpsychiatric disorderpsychotropic medicationside effectsstigmatreatment adherence

Identifiers

PMID37623165
PMCPMC10454501

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.