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Investigation of Carers' Perspectives of Dementia Misconceptions on Twitter: Focus Group Study.
Hudson, Georgie; Jansli, Sonja M; Erturk, Sinan; Morris, Daniel; Odoi, Clarissa M; Clayton-Turner, Angela; Bray, Vanessa; Yourston, Gill; Clouden, Doreen; Proudfoot, David; Cornwall, Andrew; Waldron, Claire; Wykes, Til; Jilka, Sagar.
Afiliação
  • Hudson G; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Jansli SM; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
  • Erturk S; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Morris D; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
  • Odoi CM; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Clayton-Turner A; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
  • Bray V; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Yourston G; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
  • Clouden D; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Proudfoot D; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
  • Cornwall A; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Waldron C; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Wykes T; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
  • Jilka S; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
JMIR Aging ; 5(1): e30388, 2022 Jan 24.
Article em En | MEDLINE | ID: mdl-35072637
ABSTRACT

BACKGROUND:

Dementia misconceptions on social media are common, with negative effects on people with the condition, their carers, and those who know them. This study codeveloped a thematic framework with carers to understand the forms these misconceptions take on Twitter.

OBJECTIVE:

The aim of this study is to identify and analyze types of dementia conversations on Twitter using participatory methods.

METHODS:

A total of 3 focus groups with dementia carers were held to develop a framework of dementia misconceptions based on their experiences. Dementia-related tweets were collected from Twitter's official application programming interface using neutral and negative search terms defined by the literature and by carers (N=48,211). A sample of these tweets was selected with equal numbers of neutral and negative words (n=1497), which was validated in individual ratings by carers. We then used the framework to analyze, in detail, a sample of carer-rated negative tweets (n=863).

RESULTS:

A total of 25.94% (12,507/48,211) of our tweet corpus contained negative search terms about dementia. The carers' framework had 3 negative and 3 neutral categories. Our thematic analysis of carer-rated negative tweets found 9 themes, including the use of weaponizing language to insult politicians (469/863, 54.3%), using dehumanizing or outdated words or statements about members of the public (n=143, 16.6%), unfounded claims about the cures or causes of dementia (n=11, 1.3%), or providing armchair diagnoses of dementia (n=21, 2.4%).

CONCLUSIONS:

This is the first study to use participatory methods to develop a framework that identifies dementia misconceptions on Twitter. We show that misconceptions and stigmatizing language are not rare. They manifest through minimizing and underestimating language. Web-based campaigns aiming to reduce discrimination and stigma about dementia could target those who use negative vocabulary and reduce the misconceptions that are being propagated, thus improving general awareness.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: JMIR Aging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: JMIR Aging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido