Information Needs of Asian American Breast Cancer Survivors: a Decision Tree Analysis

Author(s):  
Wonshik Chee ◽  
Jee-Seon Yi ◽  
Eun-Ok Im
2021 ◽  
pp. 019394592110319
Author(s):  
Wonshik Chee ◽  
Eun-Ok Im

The purpose of the study was to explore the associations of sub-ethnicity to the survivorship experience of Asian American breast cancer survivors and identify the multiple factors that influenced their survivorship experience. This was a secondary analysis of the data among 94 Asian American breast cancer survivors from a larger ongoing study. Instruments included: questions on background characteristics, the perceived isolation scale, the Personal Resource Questionnaire, the Memorial Symptom Assessment Scale-Short Form, and the Functional Assessment of Cancer Therapy-Breast Cancer. Data were analyzed using hierarchical logistic and multiple regression analyses. After controlling for other factors, being a Japanese American (ref. = being a Chinese American) was significantly associated with pain scores (odds ratio [OR] = −0.32, p < .01), symptom distress scores ( β = −0.27, p < .01), and the quality of life scores ( β = 0.22, p = .03). Sub-ethnic variations in cultural attitudes, values, and beliefs need to be considered in future research/practice with Asian American breast cancer survivors.


2015 ◽  
Vol 38 (6) ◽  
pp. E1-E11 ◽  
Author(s):  
Mika Miyashita ◽  
Shinji Ohno ◽  
Akemi Kataoka ◽  
Eriko Tokunaga ◽  
Norikazu Masuda ◽  
...  

2016 ◽  
Vol 23 (6) ◽  
pp. 618-626 ◽  
Author(s):  
Wonshik Chee ◽  
Yaelim Lee ◽  
Eun-Ok Im ◽  
Eunice Chee ◽  
Hsiu-Min Tsai ◽  
...  

Introduction The necessity of culturally competent Internet Cancer Support Groups (ICSGs) for ethnic minorities has recently been highlighted in order to increase its attractiveness and usage. The purpose of this study was to determine the preliminary efficacy of a culturally tailored registered-nurse-moderated ICSG for Asian American breast cancer survivors in enhancing the women’s breast cancer survivorship experience. Methods The study included two phases: (a) a usability test and an expert review; and (b) a randomized controlled pilot intervention study. The usability test was conducted among five Asian American breast cancer survivors using a one-month online forum, and the expert review was conducted among five experts using the Cognitive Walkthrough method. The randomized controlled pilot intervention study (a pre-test and post-test design) was conducted among 65 Asian American breast cancer survivors. The data were analysed using content analysis and descriptive and inferential statistics including the repeated ANOVA. Results All users and experts positively evaluated the program and provided their suggestions for the display, educational contents, and user-friendly structure. There were significant positive changes in the support care needs and physical and psychological symptoms ( p < 0.05) of the control group. There were significant negative changes in the uncertainty level of the intervention group ( p < 0.10). Controlling for background and disease factors, the intervention group showed significantly greater improvements than the control group in physical and psychological symptoms and quality of life ( p < 0.10). Discussion The findings supported the positive effects of ICSGs on support care needs, psychological and physical symptoms, and quality of life.


2021 ◽  
Vol 48 (5) ◽  
pp. 507-521
Author(s):  
Timiya Nolan ◽  
Elizabeth Arthur ◽  
Ogechi Nwodim ◽  
Amelia Spaulding ◽  
Jennifer Kue

2017 ◽  
Author(s):  
Susan McRoy ◽  
Majid Rastegar-Mojarad ◽  
Yanshan Wang ◽  
Kathryn J. Ruddy ◽  
Tufia C. Haddad ◽  
...  

BACKGROUND Patient education materials given to breast cancer survivors may not be a good fit for their information needs. Needs may change over time, be forgotten, or be misreported, for a variety of reasons. An automated content analysis of survivors' postings to online health forums can identify expressed information needs over a span of time and be repeated regularly at low cost. Identifying these unmet needs can guide improvements to existing education materials and the creation of new resources. OBJECTIVE The primary goals of this project are to assess the unmet information needs of breast cancer survivors from their own perspectives and to identify gaps between information needs and current education materials. METHODS This approach employs computational methods for content modeling and supervised text classification to data from online health forums to identify explicit and implicit requests for health-related information. Potential gaps between needs and education materials are identified using techniques from information retrieval. RESULTS We provide a new taxonomy for the classification of sentences in online health forum data. 260 postings from two online health forums were selected, yielding 4179 sentences for coding. After annotation of data and training alternative one-versus-others classifiers, a random forest-based approach achieved F1 scores from 66% (Other, dataset2) to 90% (Medical, dataset1) on the primary information types. 136 expressions of need were used to generate queries to indexed education materials. Upon examination of the best two pages retrieved for each query, 12% (17/136) of queries were found to have relevant content by all coders, and 33% (45/136) were judged to have relevant content by at least one. CONCLUSIONS Text from online health forums can be analyzed effectively using automated methods. Our analysis confirms that breast cancer survivors have many information needs that are not covered by the written documents they typically receive, as our results suggest that at most a third of breast cancer survivors’ questions would be addressed by the materials currently provided to them.


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