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Self-stigma of antidepressant users through secondary analysis of PhotoVoice data

INTRODUCTION: Aspects of self-stigma and medication-related stigma among individuals with depressive disorders remain largely unexplored. The primary objective of this study is to highlight and characterize self-stigma and medication-related stigma experiences of antidepressant users. METHODS: This...

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Autores principales: Nelson, Erik, Werremeyer, Amy, Kelly, Gina Aalgaard, Skoy, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: College of Psychiatric & Neurologic Pharmacists 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125114/
https://www.ncbi.nlm.nih.gov/pubmed/30206504
http://dx.doi.org/10.9740/mhc.2018.09.214
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author Nelson, Erik
Werremeyer, Amy
Kelly, Gina Aalgaard
Skoy, Elizabeth
author_facet Nelson, Erik
Werremeyer, Amy
Kelly, Gina Aalgaard
Skoy, Elizabeth
author_sort Nelson, Erik
collection PubMed
description INTRODUCTION: Aspects of self-stigma and medication-related stigma among individuals with depressive disorders remain largely unexplored. The primary objective of this study is to highlight and characterize self-stigma and medication-related stigma experiences of antidepressant users. METHODS: This is a secondary analysis of data obtained from PhotoVoice studies examining psychotropic medication experiences. Transcripts of reflections from 12 individuals self-reporting a depressive disorder diagnosis and receipt of a prescription for an antidepressant were included. A directed content analysis approach based on expansion of the Self-Stigma of Depression Scale and an iterative process of identification of medication-stigma and stigma-resistance were used. Total mentions of self-stigma, stigma resistance, medication stigma, and underlying themes were tallied and evaluated. RESULTS: Self-stigma was mentioned a total of 100 times with at least 2 mentions per participant. Self-blame was the most prominent construct of self-stigma and was mentioned nearly twice as often as any other self-stigma construct. Most participants also made mentions of self-stigma resistance. Half of the individual participants mentioned stigma resistance more times than they mentioned self-stigma, which suggests some surmounting of self-stigma. Medication-related stigma was also prominent, denoting negativity about the presence of medications in one's life. DISCUSSION: Self-stigma related to self-blame may be problematic for antidepressant users. Identification and measurement of stigma resistance, especially in peer interactions, may represent a promising concept in overcoming self-stigma. Future work should explore emphasizing self-blame aspects when designing interventions to reduce self-stigma among individuals with depressive disorders and explore development of tools to measure stigma resistance.
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spelling pubmed-61251142018-09-11 Self-stigma of antidepressant users through secondary analysis of PhotoVoice data Nelson, Erik Werremeyer, Amy Kelly, Gina Aalgaard Skoy, Elizabeth Ment Health Clin Original Research INTRODUCTION: Aspects of self-stigma and medication-related stigma among individuals with depressive disorders remain largely unexplored. The primary objective of this study is to highlight and characterize self-stigma and medication-related stigma experiences of antidepressant users. METHODS: This is a secondary analysis of data obtained from PhotoVoice studies examining psychotropic medication experiences. Transcripts of reflections from 12 individuals self-reporting a depressive disorder diagnosis and receipt of a prescription for an antidepressant were included. A directed content analysis approach based on expansion of the Self-Stigma of Depression Scale and an iterative process of identification of medication-stigma and stigma-resistance were used. Total mentions of self-stigma, stigma resistance, medication stigma, and underlying themes were tallied and evaluated. RESULTS: Self-stigma was mentioned a total of 100 times with at least 2 mentions per participant. Self-blame was the most prominent construct of self-stigma and was mentioned nearly twice as often as any other self-stigma construct. Most participants also made mentions of self-stigma resistance. Half of the individual participants mentioned stigma resistance more times than they mentioned self-stigma, which suggests some surmounting of self-stigma. Medication-related stigma was also prominent, denoting negativity about the presence of medications in one's life. DISCUSSION: Self-stigma related to self-blame may be problematic for antidepressant users. Identification and measurement of stigma resistance, especially in peer interactions, may represent a promising concept in overcoming self-stigma. Future work should explore emphasizing self-blame aspects when designing interventions to reduce self-stigma among individuals with depressive disorders and explore development of tools to measure stigma resistance. College of Psychiatric & Neurologic Pharmacists 2018-08-30 /pmc/articles/PMC6125114/ /pubmed/30206504 http://dx.doi.org/10.9740/mhc.2018.09.214 Text en © 2018 CPNP. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Nelson, Erik
Werremeyer, Amy
Kelly, Gina Aalgaard
Skoy, Elizabeth
Self-stigma of antidepressant users through secondary analysis of PhotoVoice data
title Self-stigma of antidepressant users through secondary analysis of PhotoVoice data
title_full Self-stigma of antidepressant users through secondary analysis of PhotoVoice data
title_fullStr Self-stigma of antidepressant users through secondary analysis of PhotoVoice data
title_full_unstemmed Self-stigma of antidepressant users through secondary analysis of PhotoVoice data
title_short Self-stigma of antidepressant users through secondary analysis of PhotoVoice data
title_sort self-stigma of antidepressant users through secondary analysis of photovoice data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125114/
https://www.ncbi.nlm.nih.gov/pubmed/30206504
http://dx.doi.org/10.9740/mhc.2018.09.214
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