Literature DB >> 28678549

Sentiment Analysis of an Online Breast Cancer Support Group: Communicating about Tamoxifen.

Mark L Cabling1, Jeanine W Turner2, Alejandra Hurtado-de-Mendoza1, Yihong Zhang1, Xinyang Jiang1, Fabrizio Drago1, Vanessa B Sheppard3.   

Abstract

A better understanding of the breast cancer online narrative is important for a clearer conceptualizing of the role of online platforms in mediating health-related support. Sentiment analysis was conducted on a breast cancer online support group regarding Tamoxifen to understand users' emotions and opinions. This analysis was then contextualized within online social support literature. Out of the 498 users, the most active users were 80% more positive than least active users, while least active users were 48% more negative than most active ones; both differences were statistically significant. The higher the stage of cancer a user had, the less likelihood that she would have posted, and if she were to post, the post would have focused on her side effects and the anxiety/sadness that tailgates those side effects. The lower the stage of cancer a user had, the more likelihood that she would have posted, additionally remained active on the forum, and encouraged more (online) social support. This finding suggests that the online support platform may provide a context that exacerbates support for like-minded users where stronger ties are created around a specific sentiment within the community with less connection from those with dissimilar sentiments to the dominant group.

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Year:  2017        PMID: 28678549      PMCID: PMC6077266          DOI: 10.1080/10410236.2017.1339370

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  19 in total

1.  Predictors of Online Health Information Seeking Among Women with Breast Cancer: The Role of Social Support Perception and Emotional Well-Being.

Authors:  Sojung Claire Kim; Dhavan V Shah; Kang Namkoong; Fiona M McTavish; David H Gustafson
Journal:  J Comput Mediat Commun       Date:  2013-01

2.  Racial and ethnic differences in adjuvant hormonal therapy use.

Authors:  Jennifer C Livaudais; Christopher Li; Esther M John; Mary Beth Terry; Mary Daly; Saundra S Buys; Laurel Habel; Beti Thompson; N David Yanez; Gloria D Coronado
Journal:  J Womens Health (Larchmt)       Date:  2012-06-25       Impact factor: 2.681

3.  Sentiment analysis to determine the impact of online messages on smokers' choices to use varenicline.

Authors:  Nathan K Cobb; Darren Mays; Amanda L Graham
Journal:  J Natl Cancer Inst Monogr       Date:  2013-12

4.  Who talks? The social psychology of illness support groups.

Authors:  K P Davison; J W Pennebaker; S S Dickerson
Journal:  Am Psychol       Date:  2000-02

5.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer.

Authors:  Donald A Berry; Constance Cirrincione; I Craig Henderson; Marc L Citron; Daniel R Budman; Lori J Goldstein; Silvana Martino; Edith A Perez; Hyman B Muss; Larry Norton; Clifford Hudis; Eric P Winer
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

6.  Early discontinuation and non-adherence to adjuvant hormonal therapy are associated with increased mortality in women with breast cancer.

Authors:  Dawn L Hershman; Theresa Shao; Lawrence H Kushi; Donna Buono; Wei Yann Tsai; Louis Fehrenbacher; Marilyn Kwan; Scarlett Lin Gomez; Alfred I Neugut
Journal:  Breast Cancer Res Treat       Date:  2010-08-28       Impact factor: 4.872

7.  Accuracy and self correction of information received from an internet breast cancer list: content analysis.

Authors:  Adol Esquivel; Funda Meric-Bernstam; Elmer V Bernstam
Journal:  BMJ       Date:  2006-03-02

8.  Social networking in online support groups for health: how online social networking benefits patients.

Authors:  Jae Eun Chung
Journal:  J Health Commun       Date:  2013-04-04

9.  The challenge of fitting in: non-participation and withdrawal from an online self-help group for breast cancer patients.

Authors:  Anne-Grete Sandaunet
Journal:  Sociol Health Illn       Date:  2008-01

10.  Seeking support on facebook: a content analysis of breast cancer groups.

Authors:  Jacqueline L Bender; Maria-Carolina Jimenez-Marroquin; Alejandro R Jadad
Journal:  J Med Internet Res       Date:  2011-02-04       Impact factor: 5.428

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  6 in total

1.  Twitter Analysis of #OpenAPS DIY Artificial Pancreas Technology Use Suggests Improved A1C and Quality of Life.

Authors:  Michelle L Litchman; Dana Lewis; Lesly A Kelly; Perry M Gee
Journal:  J Diabetes Sci Technol       Date:  2018-09-10

2.  Developing a standardized protocol for computational sentiment analysis research using health-related social media data.

Authors:  Lu He; Tingjue Yin; Zhaoxian Hu; Yunan Chen; David A Hanauer; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

Review 3.  Sentiment Analysis in Health and Well-Being: Systematic Review.

Authors:  Anastazia Zunic; Padraig Corcoran; Irena Spasic
Journal:  JMIR Med Inform       Date:  2020-01-28

4.  Patients With Cancer and COVID-19: A WhatsApp Messenger-Based Survey of Patients' Queries, Needs, Fears, and Actions Taken.

Authors:  Vittorio Gebbia; Dario Piazza; Maria Rosaria Valerio; Nicolò Borsellino; Alberto Firenze
Journal:  JCO Glob Oncol       Date:  2020-05

5.  Codifying Online Social Support for Breast Cancer Patients: Retrospective Qualitative Assessment.

Authors:  Jude P Mikal; Stuart W Grande; Michael J Beckstrand
Journal:  J Med Internet Res       Date:  2019-10-24       Impact factor: 5.428

6.  Sentiment analysis of social media posts on pharmacotherapy: A scoping review.

Authors:  Chanakya Sharma; Samuel Whittle; Pari D Haghighi; Frada Burstein; Helen Keen
Journal:  Pharmacol Res Perspect       Date:  2020-10
  6 in total

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