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Characterising experiences with acute myeloid leukaemia using an Instagram content analysis
Instagram has more than one billion monthly users, which presents a unique research opportunity particularly in rare diseases or hard to reach populations. This study focuses on acute myeloid leukaemia, a rare haematological malignancy and aims to characterise who posts acute myeloid leukaemia-relat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092772/ https://www.ncbi.nlm.nih.gov/pubmed/33939746 http://dx.doi.org/10.1371/journal.pone.0250641 |
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author | Parker, Catriona Zomer, Ella Liew, Danny Ayton, Darshini |
author_facet | Parker, Catriona Zomer, Ella Liew, Danny Ayton, Darshini |
author_sort | Parker, Catriona |
collection | PubMed |
description | Instagram has more than one billion monthly users, which presents a unique research opportunity particularly in rare diseases or hard to reach populations. This study focuses on acute myeloid leukaemia, a rare haematological malignancy and aims to characterise who posts acute myeloid leukaemia-related content and the type of content created. The findings can provide information and a method for future studies, particularly those focused on online or social media based interventions. Acute myeloid leukaemia-related Instagram posts were identified by searching specific and relevant hashtags (#). A content analysis systematically classified themes in the data. A convenience sample of 100 posts (138 photos) were manually extracted and coded. Data are described using descriptive statistics and demonstrated by qualitative examples. The most frequent users in our sample were patients (66%), patient support networks (24%) and professional organisations (10%). Patients who were communicating their health update (31%) were the most frequently posted content and 25% of these posts described a symptom experience. Our findings demonstrate that patients and their support networks are frequenting Instagram and therefore may be able to receive and benefit from tailored intervention, however there is an identified gap in health-organisations participating in this virtual online community. |
format | Online Article Text |
id | pubmed-8092772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80927722021-05-07 Characterising experiences with acute myeloid leukaemia using an Instagram content analysis Parker, Catriona Zomer, Ella Liew, Danny Ayton, Darshini PLoS One Research Article Instagram has more than one billion monthly users, which presents a unique research opportunity particularly in rare diseases or hard to reach populations. This study focuses on acute myeloid leukaemia, a rare haematological malignancy and aims to characterise who posts acute myeloid leukaemia-related content and the type of content created. The findings can provide information and a method for future studies, particularly those focused on online or social media based interventions. Acute myeloid leukaemia-related Instagram posts were identified by searching specific and relevant hashtags (#). A content analysis systematically classified themes in the data. A convenience sample of 100 posts (138 photos) were manually extracted and coded. Data are described using descriptive statistics and demonstrated by qualitative examples. The most frequent users in our sample were patients (66%), patient support networks (24%) and professional organisations (10%). Patients who were communicating their health update (31%) were the most frequently posted content and 25% of these posts described a symptom experience. Our findings demonstrate that patients and their support networks are frequenting Instagram and therefore may be able to receive and benefit from tailored intervention, however there is an identified gap in health-organisations participating in this virtual online community. Public Library of Science 2021-05-03 /pmc/articles/PMC8092772/ /pubmed/33939746 http://dx.doi.org/10.1371/journal.pone.0250641 Text en © 2021 Parker et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Parker, Catriona Zomer, Ella Liew, Danny Ayton, Darshini Characterising experiences with acute myeloid leukaemia using an Instagram content analysis |
title | Characterising experiences with acute myeloid leukaemia using an Instagram content analysis |
title_full | Characterising experiences with acute myeloid leukaemia using an Instagram content analysis |
title_fullStr | Characterising experiences with acute myeloid leukaemia using an Instagram content analysis |
title_full_unstemmed | Characterising experiences with acute myeloid leukaemia using an Instagram content analysis |
title_short | Characterising experiences with acute myeloid leukaemia using an Instagram content analysis |
title_sort | characterising experiences with acute myeloid leukaemia using an instagram content analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092772/ https://www.ncbi.nlm.nih.gov/pubmed/33939746 http://dx.doi.org/10.1371/journal.pone.0250641 |
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