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Self-stigmatization and treatment preferences: Measuring the impact of treatment labels on choices for depression medications.
Gonzalez Sepulveda, Juan Marcos; Townsend, Michael; Waters, Heidi C; Brubaker, Maalak; Wallace, Matthew; Johnson, Reed.
Afiliação
  • Gonzalez Sepulveda JM; Duke Clinical Research Institute, Duke University School of Medicine Durham, North Carolina, United States of America.
  • Townsend M; LCSW Gateway Counseling Center, Smithtown, New York, United States of America.
  • Waters HC; Otsuka Pharmaceutical Development & Commercialization, Inc., Princeton, NJ, United States of America.
  • Brubaker M; Otsuka Pharmaceutical Development & Commercialization, Inc., Princeton, NJ, United States of America.
  • Wallace M; Duke Clinical Research Institute, Duke University School of Medicine Durham, North Carolina, United States of America.
  • Johnson R; Duke Clinical Research Institute, Duke University School of Medicine Durham, North Carolina, United States of America.
PLoS One ; 19(9): e0309562, 2024.
Article em En | MEDLINE | ID: mdl-39226275
ABSTRACT

OBJECTIVE:

To collect evidence on the possibility that patients with depression experience self-stigmatization based on label information for medications.

METHODS:

We developed a discrete-choice experiment (DCE) survey instrument that asked respondents to make choices between hypothetical treatments for major depressive disorder (MDD). We also included treatment type (antidepressants versus antipsychotics) and approved indications for the medication. The choice questions mimicked the information presented in product inserts and required systematic tradeoffs between treatment efficacy, treatment type, and indication. We calculated how many patients were willing to forgo efficacy to avoid treatments with information associated with self-stigmatization, and how much efficacy they were willing to forgo. We also evaluated the impact of contextualizing the treatment information to reduce self-stigmatization by randomizing respondents who received additional context.

RESULTS:

A total of 501 patients with MDD were recruited to complete the DCE survey. Respondents had well-defined preferences for treatment outcomes. Over 60% (63.4%) of respondents were found to be significantly affected by treatment indication. These respondents were willing to forgo about 2.5 percentage points in the chance of treatment efficacy to avoid treatments indicated for schizophrenia. We also find that some level of contextualization of the treatment details could help reduce the negative impact of treatment type and indications.

CONCLUSIONS:

Product-label treatment indication can potentially lead to patient self-stigmatization as shown by patients' avoidance of treatments that are also used to treat schizophrenia. While the effect appears to be relatively small, results suggests that the issue is likely pervasive.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento de Escolha / Transtorno Depressivo Maior / Preferência do Paciente / Antidepressivos Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS ONE (Online) / PLoS One / PLos ONE Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento de Escolha / Transtorno Depressivo Maior / Preferência do Paciente / Antidepressivos Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS ONE (Online) / PLoS One / PLos ONE Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos