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

Wonshik CheeJee-Seon YiEun-Ok Im
Published in: Journal of cancer education : the official journal of the American Association for Cancer Education (2021)
Through a decision tree analysis, this study aimed to determine the characteristics of Asian American breast cancer survivors who had higher decreases in their need for information by a technology-based information and coaching/support program compared with their counterparts. This is a part of a larger randomized controlled trial; only the data from 99 Asian American breast cancer survivors were used for this analysis. The measurement scales included the Memorial Symptom Assessment Scale-Short Form, the Cancer Behavior Inventory, the Questions on Attitudes, Subjective Norm, Perceived Behavioral Control and Behavioral Intention, and the Supportive Care Needs Survey-Short Form 34. The data analysis was done using t-tests, chi-square tests, repeated measurement analyses, and a decision tree analysis. The information needs scores of all the participants decreased during the 3-month intervention period (p < .005). However, only the intervention group had statistically significant decreases in the information needs scores during the 3 months (dif. =  - 8.545; p < .005). Those with low social influence scores and high self-efficacy scores had significantly larger decreases in their information needs scores compared with the average change scores (100%, p < 01). Asian American breast cancer survivors with low social influences and high self-efficacy would highly benefit from a technology-based intervention for their need for information.
Keyphrases
  • randomized controlled trial
  • data analysis
  • health information
  • healthcare
  • mental health
  • squamous cell carcinoma
  • quality improvement
  • palliative care
  • machine learning
  • deep learning
  • big data
  • sleep quality