Young people's experiences with mental health medication: A narrative review of the qualitative literature.

Saved in:
Bibliographic Details
Title: Young people's experiences with mental health medication: A narrative review of the qualitative literature.
Authors: McMillan, Sara S., Wilson, Bethany, Stapleton, Helen, Wheeler, Amanda J.
Source: Journal of Mental Health. Apr2022, Vol. 31 Issue 2, p281-295. 15p. 3 Charts.
Subjects: Mental illness drug therapy, Psychiatric drugs, Social stigma, Patients' attitudes, Mental depression, Autonomy (Psychology), Decision making, Drugs, Patient compliance
Abstract: With the growing prevalence of mental illness in young people, healthcare professionals require an understanding of the social and psychological implications of medication use in this population. To characterize the qualitative literature regarding the perceptions and experiences of young people taking medication for mental illness. A narrative review of qualitative studies involving young people (13–24 years) taking any medication as treatment for a mental illness. The Medication Experience Model guided analysis of quotes related to medication use. Of the 27 included studies, the majority involved participants with depression and utilized interviews. Young people reported a wide range of mental health medication experiences, both negative and positive, which could influence medication acceptance. Lack of autonomy and the influence of family members were challenges faced by this population. Young people reported that medications had affected them in various ways across multiple dimensions. Lack of involvement in decision-making and a loss of autonomy were of particular relevance to young people, issues which should also be of interest to healthcare professionals. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mental Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first