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

Cabling, Mark L.; Turner, Jeanine Warisse; Hurtado‐de‐Mendoza, Alejandra; Zhang, Yihong; Jiang, Xinyang; Drago, Fabrizio; Sheppard, Vanessa B.

doi:10.1080/10410236.2017.1339370

Cited by 37 publications

(40 citation statements)

References 40 publications

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“…Thus, including significant others in adherence interventions could maximize patients' perceptions of support and approval. Breast cancer survivors share experiences, emotions, and information about AET in online groups . A case study of an online discussion thread on tamoxifen showed how one survivor initiated treatment due to peer pressure .…”

Section: Discussionmentioning

confidence: 99%

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Applying the theory of planned behavior to examine adjuvant endocrine therapy adherence intentions

et al. 2018

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Objective Adherence to adjuvant endocrine therapy (AET) in breast cancer survivors is suboptimal. Using the theory of planned behavior (TPB), this study aimed to identify the strongest predictors from the TPB of AET intentions and past behavior and assessed whether ambivalence and anticipatory emotions increased the predictive capacity of TPB. Methods Two hundred eighty women diagnosed with hormone positive (HR+) breast cancer who filled at least one prescription of AET responded to a survey measuring TPB constructs, attitudinal ambivalence, and anticipatory emotions. The outcomes were intentions to adhere to AET and past medication adherence (previous 2 weeks). Results The TPB explained 66% of intentions to adhere to AET (P < 0.001). Ambivalence did not improve the TPB model's predictive value. When emotions were included with TPB, the model explained 70% of adherence intentions F11,226 = 52.84, P < 0.001 (R2c = .70). This increase of 4% in predictability was statistically significant (ΔR2 = 0.04), F6, 226 = 7.90, P < 0.001. Women who self‐reported nonadherence in the past 2 weeks differed significantly in the TPB variables, ambivalence, and anticipatory emotions from adherent women. Nonadherent participants reported lower‐future intentions to adhere F1, 236 = 5.63, P = 0.018. Conclusions Results suggest key concepts, such as anticipatory positive emotions that should be addressed in future interventions to enhance AET adherence and survivorship.

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Section: Discussionmentioning

confidence: 99%

“…The importance of self-efficacy coincides with the meta-analysis of adherence in chronic conditions 10 ences, emotions, and information about AET in online groups. 36 A case study of an online discussion thread on tamoxifen showed how one survivor initiated treatment due to peer pressure. 37 Further research on this area is necessary.…”

Section: Discussionmentioning

confidence: 99%

Applying the theory of planned behavior to examine adjuvant endocrine therapy adherence intentions

et al. 2018

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“…Research results from this area of study have been mixed. Whereas a study shows that engagement with breast cancer support groups has the potential to promote empathy and the formation of personal relationships based on shared experiences [48], other studies suggest that the benefits of such groups can be exclusive, and the benefits of engagement are not distributed evenly among participants [49,50]. Nevertheless, the considerable variation within Facebook with respect to the media, and varied mechanisms of support exchange can make it difficult to differentiate types of behaviors observed on the Web and link those patterns with health benefits [1].…”

Section: Introductionmentioning

confidence: 99%

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

Mikal

Beckstrand

2019

J Med Internet Res

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BackgroundSocial media has emerged as the epicenter for exchanging health-related information, resources, and emotional support. However, despite recognized benefits of social media for advancing health-promoting support exchange, researchers have struggled to differentiate between the different ways social support occurs and is expressed through social media.ObjectiveThe objective of this study was to develop a fuller understanding of social support exchange by examining the ways in which breast cancer patients discuss their health needs and reach out for support on Facebook and to develop a coding schema that can be useful to other social media researchers.MethodsWe conducted a retrospective qualitative assessment of text-based social support exchanges through Facebook among 30 breast cancer survivors. Facebook wall data were systematically scraped, organized, coded, and characterized by whether and which types of support were exchanged. Research questions focused on how often participants posted related to cancer, how often cancer patients reached out for support, and the relative frequency of informational, instrumental, or socioemotional support requests broadcast by patients on the site.ResultsA novel ground-up coding schema applied to unwieldy Facebook data successfully identified social support exchange in two critical transitions in cancer treatment: diagnosis and transition off cancer therapy. Explanatory coding, design, and analysis processes led to a novel coding schema informed by 100,000 lines of data, an a priori literature review, and observed online social support exchanges. A final coding schema permits a compelling analysis of support exchange as a type of peer community, where members act proactively to buffer stress effects associated with negative health experiences. The coding schema framed operational definitions of what support meant and the forms each type of support could take in social media spaces.ConclusionsGiven the importance of social media in social interaction, support exchange, and health promotion, our findings provide insight and clarity for researchers into the different forms informational, resource, and emotional support may take in Web-based social environments. Findings support broader continuity for evaluating computer-mediated support exchange.

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“…Of the remaining 99, 89 were excluded as they were not analysing at least one of the required topics of pharmacotherapy, medicine, or social media. A total of 10 studies were finally included (Figure 1) 20‐29 …”

Section: Resultsmentioning

confidence: 99%

“…Data pre‐processing was employed by five of the studies 20,21,23,24,27 . The methods used by the studies varied, with tokenization (breaking sentences into small word groups or phrases that are more easily read by a program) being common.…”

Section: Resultsmentioning

confidence: 99%

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

Sharma

Whittle

Haghighi

et al. 2020

Pharmacology Res & Perspec

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

Cited by 37 publications

References 40 publications

Applying the theory of planned behavior to examine adjuvant endocrine therapy adherence intentions

Applying the theory of planned behavior to examine adjuvant endocrine therapy adherence intentions

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

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

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