Published on 04.07.13 in Vol 2, No 2 (2013): Jul-Dec
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/2384, first published Oct 09, 2012.
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 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.
Interact J Med Res 2013;2(2):e12
- online communities;
- hepatitis C virus carrier;
- social support;
- qualitative research;
- content analysis;
- social behavior
Psychological complications and physical symptoms arising from hepatitis C are well-known and described as consequence and conditioning factor for recurrence . Therefore, this combination of problems, treatment side effects, perspective of recurrence, and need for radical lifestyle changes, brings challenges to hepatitis C virus (HCV) carriers. It would be impossible to tolerate such obstacles for a long time without the social support from spouses, relatives, friends, and other HCV carriers. It is believed that the support coming from specialized virtual communities (VCs) represents an important resource for HCV patients who encounter obstacles in adapting to everyday difficulties. The Internet offers several tools for organization of virtual networks of chronic patients, which are here presented as an object of study.
The purpose of the present research note is to identify patterns of recurring demands (PRD) posted by members of VCs organized by Brazilian HCV carriers. These preliminary results raised promising hypothesis that will be used by qualitative research experts. A broader "discourse analysis" will be organized based on VC postings and focus groups with HCV carriers in assistance environments.
Methodology can be summarized as an incremental Internet search in decreasing dimensions of coverage, as described in detail by Carvalho et al . We employed open access algorithms (Google insights) to identify the most common terms associated to HCV in general searches—referred here as primary Keywords (Kps) as expressions of casual and indistinct interest. Orkut was chosen because of its long existence (established in January 2004) and its popularity in Brazil. In Orkut, thematic discussions are organized into “topics” in which messages are posted. The site also has special features for searching in which Kps were applied to disclose “specialized” (carriers) VCs. The VCs that mentioned any of the Kps at least once were selected. We assessed the "relevance weight" among Orkut HCV communities by choosing the ones in which Kps were more frequent. Associations of Kps applied among the most popular and active VCs can neutralize bias caused by arbitrary choices in the pre-selection process. This criteria is based on other algorithms like “page rank” [ ], which estimates the relevance of a site using the number of highest expression links directed to it. From this set of VCs, the most representative were chosen by its time of existence, number of members, and mainly by the Kps frequency in discussions. This Dominant Community was considered for study. The relationship of the Dominant Community with its peers was studied through the Community Association Map (CAM, ), which defines the interrelationships between communities [ ] to portray and confirm their dominance around a core of common interests. We developed scripts to collect and tabulate all messages published on all topics over eight years of the community’s existence. A “word cloud” (in which word’s size is proportional to it’s frequency) was generated in wordle to provide a graphic representation of the word frequency ( ).
The main Kps associated with “Hepatite C” found on Google were (in Portuguese): consulta hepatite c; cura hepatite c; exame hepatite c; hepatite c cronica; hcv; medicamento hepatite c; medico hepatite c; prevencao hepatite c; remedio hepatite c; sintomas hepatite c; transmissao hepatite c; tratamento hepatite c; vacina hepatite c; virus hepatite c. The search using these Kps in Orkut resulted in 1476 communities. The highest occurrences of Kps were found in: Hepatite C = 588 topics, HIV - BR = 208; hepatite C = 183; Hepatologia: doenças do fígado (Hepatology: liver disease) = 107; hepatite c informações = 129. In these communities, 20,000 messages were posted by 9066 members (may be overestimated - users might belong to multiple communities).
“Hepatite C” (ID 216788 on Orkut) was considered the Dominant Community because it gathered the largest volume of public content. It was created by a HCV carrier a few months after the Orkut’s launch. It is not associated to any commercial or government institution, and in 2453 days, it gathered 1292 members—68% women and 32% men.
Content of Messages Posted on “Hepatite C”
The message volume in the Dominant Community remained low until the first quarter of 2009, thereafter the number of messages increased significantly, as shown in, which matches with the popularization of the site in Brazil [ ]. Of the total 47,005 terms found on all topics in 8 years of available content, the most recurring words in frequency analysis (discarding articles, prepositions, and numerals) are presented in , which also presents a subset of other prominent words (that refers to HCV therapy and potentially toxic drugs to carriers). From the most cited drugs, interferon and ribavirin shared six of the eight stronger relationships between drugs cited in the same message. These findings suggest a demand by the strong association between ribavirin and interferon—its continuing use is a frequent problem to patients of Brazilian healthcare system [ ]. The three types of information that are most frequently found with this association are preço (price), bula (medication user instructions), and efeitos colaterais (side effects).
|Most recurring words in frequency analysis|
|Recurrent words related to the passage of time|
|Therapies for the control of HCVa|
|Silymarin (alternative treatment)||63|
|Potentially toxic drugs to CHCVb|
aHCV=hepatitis C virus
bCHCV=chronic hepatitis C virus
The PRD on the Internet are presented here as a low cost method easily applicable for guiding qualitative researchers on data collection. Hypotheses, linking concepts, and “bounding ideas” are essential for the portrayal of social support and can be easily weakened by bias and personal assumptions - which can be preventable by the PRD analysis. The HCV carriers are vulnerable to several psychological conditions and depressive symptoms that are usually identified and reported among them [, ]. The Identification of PRD in communities with chronic diseases may expand our comprehension about their needs for social networks, presenting demands perhaps underestimated by public health policy makers. It’s interesting to notice that the results presented here support other conclusions recently reached by other methods. Sousa [ ] describes carriers expressing their suffering strongly attached to expectations of obtaining medicines and healing in the context of the passage of the weeks, months, and years of survival. The elements described herein provide a basis for further, more detailed, research, in which the PRD are consolidated into central ideas for the construction of analysis categories. The primary purpose of the paper was to furnish unbiased material to a qualitative approach, which could reach findings applicable beyond the immediate boundaries of the study. According to qualitative research literature [ , ], it’s especially effective in cultural research, which deals with values, opinions, and perspectives that can be generalized in a broader view.
Another interesting aspect concerning the method refers to the study of VC through algorithms, a field underused so far despite several remarkable alternatives. In addition to reduced costs compared to conventional field research, there is an opportunity to capture discourses posted in moments of desperate need for support. Here, Internet VCs seem to transcend their merely informative context , and acquire a unifying force aimed at overcoming great obstacles [ ]. Besides posting messages on topics for mutual enlightenment and social support, maybe HCV carriers feel more comfortable talking about personal difficulties and living conditions when compared to conventional medical consultation enviroment. In general, stigmatized diseases or health conditions encourage individuals to use Internet as a main source of information and environment for sharing experiences [ - ]. Such preferences are not limited to the possibility of hiding identities in the face of uncomfortable topics, but also include the VC role of social support. Pattern analysis identified frequent use of words that suggest a need for spiritual support (God: 4077 citations) and social support (husband, 971). Words indicating the need for material support/care were extensively mentioned: treatment (9581), doctor (2800), and interferon (2281), and the association between Interferon and Ribavirin (also described by Sousa [ ]). These results reinforce evidence that patients with chronic diseases have a distinct profile of engagement in virtual communities. We found agile dissemination of certain content and thematic consistency associated with interest in news about innovative therapies (new formulations of interferon; alternative therapies).
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.
Research on PRD requires small resources in its development in contrast with important outcomes in terms of depiction of demands from patients with chronic diseases underestimated by other perspectives. The word frequency and content analysis can furnish hypotheses, linking concepts, and “bounding ideas,” which are essential for the portrayal of collective ideas and social support demands. The present findings describe some evidence of need for social and material support that may subside public policies aimed at carriers of HCV.
This project is supported by the National Council for Scientific Research and Development—CNPq public notice 014/2012 (PROCESS 474621/2012-0). We would like to thank Rodrigo Pazzini and Sergio Rosa for their contribution to this work.
Conflicts of Interest
- Carta MG, Angst J, Moro MF, Mura G, Hardoy MC, Balestrieri C, et al. Association of chronic hepatitis C with recurrent brief depression. J Affect Disord 2012 Dec 10;141(2-3):361-366. [CrossRef] [Medline]
- Carvalho D, Madeira W, Okamura M, Lucena C, Zanetta S. A practical approach to exploit public data available on the Internet to study healthcare issues. 2012 Presented at: the XXXII Congress of the Brazilian Computer Society, XII Workshop on Medical Informatics; 2012; Curitiba, PR, Brazil.
- Brin S, Page L. The anatomy of a large-scale hypertextual web search engine. Comput. Netw and ISDN Systems 1998;33:107-117.
- Carvalho DBF, Fuks H, Lucena CJP. Community Association Map: Processing Inter-Community Relationships. In: WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies. Porto, Portugal: SciTePress; 2012 18-21 Presented at: 8th International Conference on Web Information Systems and Technologies; 2012/2/18; Porto, Portugal p. 665-670.
- Araújo LLP, Rios R. The popularization of the Social Network Sites and the Okutinization Phenomenon. 2012 Jun 14 Presented at: XIV Congresso de Ciências da Comunicação na Região Nordeste; 14/6/2012; Recife URL: http://www.intercom.org.br/papers/regionais/nordeste2012/resumos/R32-0590-1.pdf>
- Sousa VV, Cruvinel KPS. Being a hepatitis C carrier: feelings and expectative. Texto contexto - enferm 2008;17(4):689-695.
- Litwin H. Physical activity, social network type, and depressive symptoms in late life: An analysis of data from the National Social Life, Health and Aging Project. Aging Ment Health 2012;16(5):608-616 [FREE Full text] [CrossRef] [Medline]
- Shiovitz-Ezra S, Litwin H. Social network type and health-related behaviors: Evidence from an American national survey. Soc Sci Med 2012 Sep;75(5):901-904. [CrossRef] [Medline]
- Jankowski NW. Qualitative research community media. In: Jensen K, editor. A Handbook of Qualitative Methodologies for mass communication research. London, New York: Routledge; 1991:163-174.
- Jupp V. The SAGE Dictionary of Social Research methods. London: SAGE; 2006:32-33.
- Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information from the Social Web for Health Personalization. J Med Internet Res 2011;13(1):e15.
- Greene JA, Choudhry NK, Kilabuk E, Shrank WH. Online social networking by patients with diabetes: a qualitative evaluation of communication with Facebook. J Gen Intern Med 2011 Mar;26(3):287-292 [FREE Full text] [CrossRef] [Medline]
- Berger M, Wagner TH, Baker LC. Internet use and stigmatized illness. Soc Sci Med 2005;61(8):1821-1827.
- Setoyama Y, Yamazaki Y, Namayama K. Benefits of peer support in online Japanese breast cancer communities: differences between lurkers and posters. J Med Internet Res 2011;13(4):e122 [FREE Full text] [CrossRef] [Medline]
|CAM: Community Association Map|
|HCV: hepatitis C virus|
|Kps: primary keywords|
|PRD: patterns of recurring demands|
|VC: virtual community|
Edited by G Eysenbach; submitted 09.10.12; peer-reviewed by J Frost, R Griep; comments to author 21.01.13; revised version received 20.02.13; accepted 08.03.13; published 04.07.13
©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.
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