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Themes derived from breast cancer focus groups.

Themes derived from breast cancer focus groups.

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Objective: Using two different analysis techniques, this study explored differences and similarities in information-seeking discourse and overall breast cancer experiences between posters to a Reddit board and breast cancer survivor focus groups. Design: This study incorporates two qualitative methods for determining themes in breast cancer surviv...

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... themes from the groups included (1) screening/diagnosis, (2) treatment, (3) social support, (4) existentialism, (5) disclosure, (6) coping and (7) fears. Table 4 displays the focus group themes and codes within these themes. ...

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... Earlier studies also established that social networking sites provide awareness, knowledge and support to cancer patients, family members, care givers and general public [16,[28][29][30]. Guidance and information support had been sought for cancer in social media [31][32][33]. Prevention, awareness and early diagnosis plays a vital role in cancer control and social media has the ability to disseminate the more accurate and updated information to cancer patients. This study showed that messages posted by individuals had higher reachability in terms of retweet and favourite ratio than the organisations. ...
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Understanding the extent and content of conversations on cancers inform the stakeholders regarding the needs of the community in terms of knowledge, support and interventions. This study identified the topics of tweet content shared regarding cancer, source of messages and the degree of reachability of identified topics among Twitter users in India. Twitter messages geocoded within India, related to cancer and posted between September 15, 2021 and October 15, 2021 were retrieved using the Twitter application programming interface based on keywords identified from Symplur Signals. The tweets were pre-processed to remove the stop words, hashtags and Uniform Resource Locators. Tweets were visualized using word clouds and correlations between word tokens. Latent Dirichlet allocation (LDA) topic model, an unsupervised machine learning technique was used to identify the commonly discussed cancer topics. A total of 6374 tweets from 3135 unique twitter users were analysed in the study. Majority of the tweets (60.8%) were from the individual twitter users. LDA model identified four topics: (1) prevention, early detection and promotion (36.1%), (2) seeking support and sharing personal experience (15.8%), (3) Human Papillomavirus vaccine and cancer research (13.4%), (4) risk factors, treatment and raising awareness (34.7%). Among the four identified topics, prevention, early detection and promotion had the highest reachability. Twitter is being used as a potential alternative communication platform for disseminating cancer-related information in India. The topics identified in the study provides useful insights for public health professionals and organizations for aligning cancer-related engagement and education for the target audience.
... All participants were told that personal information and discussions would be kept confidential [33] and how confidentiality would be handled [11]. They were also told that their personal information would not be publicly available due to privacy and ethical restrictions [34]. Only the research team members could access the original interview files and transcripts [35]. ...
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This research aims to explore the multi-focus group method as an effective tool for systematically eliciting business requirements for business information system (BIS) projects. During the COVID-19 crisis, many businesses plan to transform their businesses into digital businesses. Business managers face a critical challenge: they do not know much about detailed system requirements and what they want for digital transformation requirements. Among many approaches used for understanding business requirements, the focus group method has been used to help elicit BIS needs over the past 30 years. However, most focus group studies about research practices mainly focus on a particular disciplinary field, such as social, biomedical, and health research. Limited research reported using the multi-focus group method to elicit business system requirements. There is a need to fill this research gap. A case study is conducted to verify that the multi-focus group method might effectively explore detailed system requirements to cover the Case Study business's needs from transforming the existing systems into a visual warning system. The research outcomes verify that the multi-focus group method might effectively explore the detailed system requirements to cover the business's needs. This research identifies that the multi-focus group method is especially suitable for investigating less well-studied, no previous evidence, or unstudied research topics. As a result, an innovative visual warning system was successfully deployed based on the multi-focus studies for user acceptance testing in the Case Study mine in Feb 2022. The main contribution is that this research verifies the multi-focus group method might be an effective tool for systematically eliciting business requirements. Another contribution is to develop a flowchart for adding to Systems Analysis & Design course in information system education, which may guide BIS students step by step on using the multi-focus group method to explore business system requirements in practice.
... Google." [7][8][9][10] Breast cancer patients report viewing content from national cancer organizations, medical centers, and the government, 1,2,11,12 and using the internet to search for information about breast reconstruction. 4,13,14 Nguyen et al found that 100% of breast reconstruction patients surveyed from an American medical institution had internet access, and 95% of them had conducted searches on breast reconstruction, with the majority using the Google search engine. ...
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Background: Many women with breast cancer search the internet for photographs of their potential reconstruction outcomes, but little is known about the quality, variety, and relevance of images patients are viewing. Methods: Breast reconstruction outcome photographs identified by a Google Images search were assessed based on the American Society of Plastic Surgeons/Plastic Surgery Foundation photographic guidelines. Information such as source metadata, breast reconstruction procedure information, and subject demographics was collected from the photographs. Additional analyses were conducted to assess whether nipple reconstruction or tattooing occurred and was disclosed, whether a symmetry procedure was performed and disclosed, and whether donor site scarring is visible in abdominal flap photographs. Results: We acquired and analyzed 114 photograph sets. Although a variety of images were readily available, the majority of photograph sets did not follow photographic guidelines or provide sufficient information. Most photograph sets (60%) indicated symmetry procedures when a symmetry procedure was evident, but only 40% of photograph sets disclosed a nipple procedure when a nipple procedure was evident. Only 40% of abdominal flap photographs showed donor site scarring. Subject demographics were largely missing: 50% of photograph sets included subject age, 3% included race or ethnicity, and 12% included weight or BMI. Conclusions: Although breast reconstruction outcome photographs shown by “Dr. Google” represent a variety of reconstruction types, they typically lack information that a patient needs to assess self-applicability. Patients may benefit from discussion with their healthcare team about the strengths and limitations of breast reconstruction outcome photographs available on the internet. https://journals.lww.com/prsgo/Fulltext/2022/05000/What_Does__Dr__Google__Show_Patients_Searching_for.33.aspx
... Briefly described, the MEM is a topic modeling technique that extracts psychologically meaningful themes from natural language-this process works by identifying clusters of words that frequently co-occur across a text corpus. The MEM has demonstrated value for understanding the psychosocial dynamics of online communities (Blackburn et al., 2018;Currin-McCulloch et al., 2021). We investigate potential gender differences in the topics raised by the online help-seekers insofar as individuals from each gender divulge various relationship problems. ...
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Interpersonal relationships are vital to our well-being. In recent years, it has become increasingly common to seek relationship help through anonymous online platforms. Accordingly, we conducted a large-scale analysis of real-world relationship help-seeking to create a descriptive overview of the nature and substance of online relationship help-seeking. By analyzing the demographic characteristics and language of relationship help-seekers on Reddit ( N = 184,631), we establish the first-ever big data analysis of relationship help-seeking and relationship problems in situ among the general population. Our analyses highlight real-world relationship struggles found in the general population, extending beyond past work that is typically limited to counseling/intervention settings. We find that relationship problem estimates from our sample are closer to those found in the general population, providing a more generalized insight into the distribution and prevalence of relationship problems as compared with past work. Further, we find several meaningful associations between relationship help-seeking behavior, gender, and attachment. Notably, numerous gender differences in help-seeking and romantic attachment emerged. Our findings suggest that, contrary to more traditional contexts, men are more likely to seek help with their relationships online, are more expressive of their emotions (e.g., discussing the topic of “heartache”), and show language patterns generally consistent with more secure attachment. Our analyses highlight pathways for further exploration, providing even deeper insights into the timing, lifecycle, and moderating factors that influence who, what, why, and how people seek help for their interpersonal relationships.
... The strategies used for recruiting in-person focus groups traditionally include local advertisements, provider endorsements, and marketing outreach efforts to members in the community (Marshall & Rossman, 2011). Within focus groups for women with breast cancer, traditionally groups range from five to nine participants per group (Ceballos et al., 2021;Currin-McCulloch et al., 2021;Yelton et al., 2021). Though qualitative studies have no set sample goal equivalent to quantitative studies, researchers generally stop recruiting once they reach data saturation (meaning no new data emerges; Creswell, 2013). ...
Article
Background: The COVID-19 pandemic forced researchers to modify recruitment strategies to meet accrual goals for qualitative studies. Traditional methods of in-person recruiting and using paper marketing material were eliminated almost overnight at the onset of the pandemic. Researchers quickly adapted their recruitment strategies, but researchers had to shift local, in-person recruitment efforts to solely using online platforms. The shifting recruitment strategies were accompanied with unexpected challenges, but we were able to meet our accrual goal for focus groups. Objectives: The objective of this brief report is to explore new recruitment strategies that developed during the COVID-19 pandemic and offer suggestions for future online-based qualitative studies. Results: Prior to COVID-19, we designed four main strategies (research registry, marketing material, social media, and provider endorsement) to recruit potential participants for focus groups as part of a qualitative, descriptive study involving young women breast cancer survivors. After the onset of COVID-19, we successfully adapted each of our initial four strategies to recruit potential participants in an incremental process. Using these adapted strategies, a total of 62 young women completed the first part of the data collection process prior to participating in a focus group. Thirty-three women participated in the focus groups, and the remaining 29 participants were lost to follow-up. The vast majority of participants were recruited through marketing material and social media after making strategic changes to recruitment. Discussion: The most effective method of recruitment was the strategic use of marketing material and social media, and we offer suggestions for researchers considering online recruitment methods. We recommend that researchers use various social media platforms and specific hashtags and target their sample population at the onset of the study. The data collection changes initiated by the effects of COVID-19 may remain, and researchers can consider implementing permanent recruitment strategies to best meet the needs of this new landscape of conducing online focus groups.
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Importance: Improvement in clinical understanding of the priorities of patients with breast cancer (BC) regarding postoperative aesthetic outcomes (AOs) is needed. Objective: To assess expert panel and computerized evaluation modalities against patient-reported outcome measures (PROMs), the gold standard of AO assessment, in patients after surgical management of BC. Data sources: Embase, MEDLINE, PsycINFO, PubMed, the Cochrane Central Register of Controlled Trials, the World Health Organization International Clinical Trials Registry Platform, and ClinicalTrials.gov were interrogated from inception through August 5, 2022. Search terms included breast conserving AND aesthetic outcome AND breast cancer. Ten observational studies were eligible for inclusion, with the earliest date of database collection on December 15, 2022. Study selection: Studies with at least 1 pairwise comparison (PROM vs expert panel or PROM vs computerized evaluation with Breast Cancer Conservation Treatment cosmetic results [BCCT.core] software) were considered eligible if they included patients who received BC treatment with curative intent. Studies reporting solely on risk reduction or benign surgical procedures were excluded to ensure transitivity. Data extraction and synthesis: Two independent reviewers extracted study data with an independent cross-check from a third reviewer. The quality of included observational studies was assessed using the Newcastle-Ottawa Scale, and the level of evidence quality was assessed using the Grading of Recommendations Assessment, Development and Evaluation tool. Confidence in network meta-analysis results was analyzed with the Confidence in Network Meta-analysis semiautomated tool. Effect size was reported using random-effects odds ratios (ORs) and cumulative ratios of ORs with 95% credibility intervals (CrIs). Main outcomes and measures: The primary outcome of this network meta-analysis was modality (expert panel or computer software) discordance from PROMs. Four-point Likert responses across PROMs, expert panel assessment, and BCCT.core evaluation of AOs were assessed. Results: A total of 10 observational studies including 3083 patients (median [IQR] age, 59 [50-60] years; median [range] follow-up, 39.0 [22.5-80.5] months) with reported AOs were assessed and homogenized in 4 distinct Likert response groups (excellent, very good, satisfactory, and bad). Overall network incoherence was low (χ22 = 0.35; P = .83). Overall, panel and software modalities graded AO outcomes worse than PROMs. Specifically, for excellent vs all other responses, the panel to PROM ratio of ORs was 0.30 (95% CrI, 0.17-0.53; I2 = 86%) and the BCCT.core to PROM ratio of ORs was 0.28 (95% CrI, 0.13-0.59; I2 = 95%), while the BCCT.core to panel ratio of ORs was 0.93 (95% CrI, 0.46-1.88; I2 = 88%). Conclusions and relevance: In this study, patients scored AOs higher than both expert panels and computer software. Standardization and supplementation of expert panel and software AO tools with racially, ethnically, and culturally inclusive PROMs is needed to improve clinical evaluation of the journey of patients with BC and to prioritize components of therapeutic outcomes.
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Purpose Advances in breast cancer care have led to a high rate of survivorship. This meta-review (systematic review of reviews) assesses and synthesises the voluminous qualitative survivorship evidence-base, providing a comprehensive overview of the main themes regarding breast cancer survivorship experiences, and areas requiring further investigation. Methods Sixteen breast cancer reviews identified by a previous mixed cancer survivorship meta-review were included, with additional reviews published between 1998 and 2020, and primary papers published after the last comprehensive systematic review between 2018 and 2020, identified via database searches (MEDLINE, Embase, CINAHL, PsycINFO). Quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews and the CASP (Critical Appraisal Skills Programme Qualitative) checklist for primary studies. A meta-ethnographic approach was used to synthesise data. Results Of 1673 review titles retrieved, 9 additional reviews were eligible (25 reviews included in total). Additionally, 76 individual papers were eligible from 2273 unique papers. Reviews and studies commonly focused on specific survivorship groups (including those from ethnic minorities, younger/older, or with metastatic/advanced disease), and topics (including return to work). Eight themes emerged: (1) Ongoing impact and search for normalcy, (2) Uncertainty, (3) Identity: Loss and change, (4) Isolation and being misunderstood, (5) Posttraumatic growth, (6) Return to work, (7) Quality of care, and (8) Support needs and coping strategies. Conclusions Breast cancer survivors continue to face challenges and require interventions to address these. Implications for Cancer Survivors. Breast cancer survivors may need to prepare for ongoing psychosocial challenges in survivorship and proactively seek support to overcome these.