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Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics
RATIONALE & OBJECTIVE: Dialysis organizations’ websites may influence patient decision making, but the websites have received almost no consideration. We investigated how/whether these websites present all kidney replacement therapy options and how the quality of life of these options is portray...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127690/ https://www.ncbi.nlm.nih.gov/pubmed/35620083 http://dx.doi.org/10.1016/j.xkme.2022.100462 |
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author | Allen, Rebecca Jane Saeed, Fahad |
author_facet | Allen, Rebecca Jane Saeed, Fahad |
author_sort | Allen, Rebecca Jane |
collection | PubMed |
description | RATIONALE & OBJECTIVE: Dialysis organizations’ websites may influence patient decision making, but the websites have received almost no consideration. We investigated how/whether these websites present all kidney replacement therapy options and how the quality of life of these options is portrayed. STUDY DESIGN: Content analysis using corpus linguistics (computer-assisted language analysis). SETTING: Website content aimed at patients from the 2 major dialysis organizations’ websites, totaling 226,968 words. The analysis took place from November 12, 2020, to March 30, 2021. ANALYTICAL APPROACH: We used linguistic software (AntConc) to document the frequencies of words needed to present treatment options and quality of life information. RESULTS: Over both sites, dialysis mentions outstripped transplantation mentions. Organization A did not appear to reference conservative kidney management. Organization B mentioned dialysis more often than conservative management, at a ratio of 34:1. Organization A did not attribute symptoms to dialysis, whereas organization B had 12 mentions of dialysis-induced symptoms out of 87 total symptom references. Both organizations framed life on dialysis optimistically, suggesting that patients can continue to engage in “work,” “sex,” or “travel”; organization A referenced sex, work, and/or travel 123 times and organization B referenced these 262 times. LIMITATIONS: We used quantitative analysis and linked ideas with certain keywords. We did not conduct a detailed qualitative inquiry. CONCLUSIONS: The websites emphasized dialysis as a treatment for kidney failure, and the quality of life on dialysis was framed very optimistically. Qualitative studies of treatment modalities and the quality of life on dialysis in the patient-targeted material of dialysis organizations are needed. |
format | Online Article Text |
id | pubmed-9127690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91276902022-05-25 Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics Allen, Rebecca Jane Saeed, Fahad Kidney Med Original Research RATIONALE & OBJECTIVE: Dialysis organizations’ websites may influence patient decision making, but the websites have received almost no consideration. We investigated how/whether these websites present all kidney replacement therapy options and how the quality of life of these options is portrayed. STUDY DESIGN: Content analysis using corpus linguistics (computer-assisted language analysis). SETTING: Website content aimed at patients from the 2 major dialysis organizations’ websites, totaling 226,968 words. The analysis took place from November 12, 2020, to March 30, 2021. ANALYTICAL APPROACH: We used linguistic software (AntConc) to document the frequencies of words needed to present treatment options and quality of life information. RESULTS: Over both sites, dialysis mentions outstripped transplantation mentions. Organization A did not appear to reference conservative kidney management. Organization B mentioned dialysis more often than conservative management, at a ratio of 34:1. Organization A did not attribute symptoms to dialysis, whereas organization B had 12 mentions of dialysis-induced symptoms out of 87 total symptom references. Both organizations framed life on dialysis optimistically, suggesting that patients can continue to engage in “work,” “sex,” or “travel”; organization A referenced sex, work, and/or travel 123 times and organization B referenced these 262 times. LIMITATIONS: We used quantitative analysis and linked ideas with certain keywords. We did not conduct a detailed qualitative inquiry. CONCLUSIONS: The websites emphasized dialysis as a treatment for kidney failure, and the quality of life on dialysis was framed very optimistically. Qualitative studies of treatment modalities and the quality of life on dialysis in the patient-targeted material of dialysis organizations are needed. Elsevier 2022-04-04 /pmc/articles/PMC9127690/ /pubmed/35620083 http://dx.doi.org/10.1016/j.xkme.2022.100462 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Allen, Rebecca Jane Saeed, Fahad Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics |
title | Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics |
title_full | Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics |
title_fullStr | Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics |
title_full_unstemmed | Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics |
title_short | Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics |
title_sort | dialysis organization online information on kidney failure treatments: a content analysis using corpus linguistics |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127690/ https://www.ncbi.nlm.nih.gov/pubmed/35620083 http://dx.doi.org/10.1016/j.xkme.2022.100462 |
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