Evidence map›Paper›PMID 36873214›Full record

ArticleFrontiers in psychiatry2023

Attitudes toward and patterns of medication use among people with serious mental illness: There's more than meets the eye.

Maia Asher, David Roe, Ilanit Hasson-Ohayon

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. 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
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Maia AsherDepartment of Psychology, Bar-Ilan University, Ramat Gan, Israel.
David RoeDepartment of Community Mental Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
Ilanit Hasson-OhayonDepartment of Psychology, Bar-Ilan University, Ramat Gan, Israel.
Bar-Ilan University · ILUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: There are growing concerns about the long-term effects of psychiatric medication after a major psychiatric crisis. Recent evidence shows a diverse impact of long-term use on various outcome domains, which may help explain why non-adherence is so common. In the current study we explored the subjective perceptions of factors that impact both attitudes toward and patterns of use of medication among individuals with serious mental illness (SMI). Method: Sixteen individuals with an SMI and a recognized psychiatric disability who had used psychiatric medication for at least 1 year were recruited for the study Results: Three discrete sequential phases emerged, each characterized by different themes referring to attitudes toward medication and patterns of use: (1) "loss of self" and a high level of medication use; (2) accumulating experiences of using/reducing/stopping medication; and (3) forming more stable attitudes toward medication and developing one's own pattern of use. The transition between phases was dynamic in nature and represents a non-linear process. Complex interactions were generated at different phases between the related themes, which shaped attitudes toward medication and patterns of use. Conclusions and implications: The current study reveals the complex ongoing process of forming attitudes toward medication and patterns of use. Recognizing and identifying them

Indexed as

adherence to psychiatric medicationattitudes toward medicationnarrative interviewsqualitative researchrecoveryserious mental illness

Identifiers

PMID36873214
PMCPMC9983815
OpenAlexW4321249726

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.