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Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C

BACKGROUND: Orkut, a Brazilian virtual social network, is responsible for popularization of the Internet among people of low income and educational level. It’s observed that rapid growth of virtual communities can be reached by low cost Internet access in community local area network houses. Orkut p...

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Autores principales: Vasconcellos-Silva, Paulo Roberto, Carvalho, Darlinton, Lucena, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713912/
https://www.ncbi.nlm.nih.gov/pubmed/23827772
http://dx.doi.org/10.2196/ijmr.2384
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author Vasconcellos-Silva, Paulo Roberto
Carvalho, Darlinton
Lucena, Carlos
author_facet Vasconcellos-Silva, Paulo Roberto
Carvalho, Darlinton
Lucena, Carlos
author_sort Vasconcellos-Silva, Paulo Roberto
collection PubMed
description BACKGROUND: Orkut, a Brazilian virtual social network, is responsible for popularization of the Internet among people of low income and educational level. It’s observed that rapid growth of virtual communities can be reached by low cost Internet access in community local area network houses. Orkut poses an important social resource for Brazilian patients with chronic conditions like hepatitis C virus (HCV) carriers, who face several obstacles in adapting to everyday difficulties. OBJECTIVE: Identify Patterns of Recurring Demands (PRD) expressed in messages posted by members of virtual communities dedicated to HCV carriers. METHODS: Pre-selection: we identified terms commonly associated to HCV on generic Internet searches (primary Keywords - Kps); Kps were used to identify the most representative HCV communities in a virtual community site (Orkut); all messages published along 8 years on all topics of the community were collected and tabulated; the word frequency was used to construct a “word cloud” (graphic representation of the word frequency) on which was applied a content analysis technique. RESULTS: The most cited terms expressed: search for information about medications (prescribed and “forbidden”); emphasis on counting time, which were interpreted as surviving expectations; frequent mention of God, doctors, and “husbands” (female carriers were 68%). These elements provided material for further research – they will be useful in the construction of categories in discourse analysis. CONCLUSIONS: The present work is a disclosure of preliminary findings considered original and promising. The word frequency/content analysis approach expressed needs of social support and material assistance that may provide subsidies for further qualitative approach and public health policies aimed to HCV carriers. The study of PRD by word frequency may be useful in identifying demands underestimated by other means.
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spelling pubmed-37139122013-07-18 Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C Vasconcellos-Silva, Paulo Roberto Carvalho, Darlinton Lucena, Carlos Interact J Med Res Original Paper BACKGROUND: Orkut, a Brazilian virtual social network, is responsible for popularization of the Internet among people of low income and educational level. It’s observed that rapid growth of virtual communities can be reached by low cost Internet access in community local area network houses. Orkut poses an important social resource for Brazilian patients with chronic conditions like hepatitis C virus (HCV) carriers, who face several obstacles in adapting to everyday difficulties. OBJECTIVE: Identify Patterns of Recurring Demands (PRD) expressed in messages posted by members of virtual communities dedicated to HCV carriers. METHODS: Pre-selection: we identified terms commonly associated to HCV on generic Internet searches (primary Keywords - Kps); Kps were used to identify the most representative HCV communities in a virtual community site (Orkut); all messages published along 8 years on all topics of the community were collected and tabulated; the word frequency was used to construct a “word cloud” (graphic representation of the word frequency) on which was applied a content analysis technique. RESULTS: The most cited terms expressed: search for information about medications (prescribed and “forbidden”); emphasis on counting time, which were interpreted as surviving expectations; frequent mention of God, doctors, and “husbands” (female carriers were 68%). These elements provided material for further research – they will be useful in the construction of categories in discourse analysis. CONCLUSIONS: The present work is a disclosure of preliminary findings considered original and promising. The word frequency/content analysis approach expressed needs of social support and material assistance that may provide subsidies for further qualitative approach and public health policies aimed to HCV carriers. The study of PRD by word frequency may be useful in identifying demands underestimated by other means. JMIR Publications Inc. 2013-07-04 /pmc/articles/PMC3713912/ /pubmed/23827772 http://dx.doi.org/10.2196/ijmr.2384 Text en ©Paulo Roberto Vasconcellos-Silva, Darlinton Carvalho, Carlos Lucena. Originally published in the Interactive Journal of Medical Research (http://www.i-jmr.org/), 04.07.2013. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.i-jmr.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Vasconcellos-Silva, Paulo Roberto
Carvalho, Darlinton
Lucena, Carlos
Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
title Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
title_full Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
title_fullStr Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
title_full_unstemmed Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
title_short Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
title_sort word frequency and content analysis approach to identify demand patterns in a virtual community of carriers of hepatitis c
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713912/
https://www.ncbi.nlm.nih.gov/pubmed/23827772
http://dx.doi.org/10.2196/ijmr.2384
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