Immigration Transition and Symptom Distress Changes by a Technology-Based Intervention: Asian American Breast Cancer Survivors.

Comput Inform Nurs

Author Affiliations: Nell Hodgson Woodruff School of Nursing, Emory University (Drs Im, Yi, and Chee), Atlanta, GA; College of Nursing Institute of Health Sciences, Gyeongsang National University (Dr Yi), Jinju, Republic of Korea.

Published: May 2023

Technology-based programs using computers and mobile devices are known to be effective in providing information and support to marginalized populations including immigrants. Yet, little is still known on the factors that may influence the effectiveness of technology-based programs in improving symptom experience, including immigration transition, especially among Asian American breast cancer survivors. This study aimed to identify the characteristics related to immigration transition that significantly affected the symptom distress changes by a technology-based information and coaching/support program among Asian American breast cancer survivors. This secondary analysis was conducted with the data from 102 Asian American breast cancer survivors from a randomized clinical trial in progress. Multiple instruments were used: the questions on background characteristics and immigration transition and the Memorial Symptom Assessment Scale-Short Form. The data were analyzed using repeated-measurement analyses and decision tree analyses. The mean changes in the symptoms distress scores were as follows: -0.12 (SD, 0.47) in the Global Distress Index scores; -0.08 (SD, 0.43) in the physical symptom distress scores; and -0.15 (SD, 0.65) in the psychological symptom distress scores. The characteristics with the highest impact on the symptom distress score changes included the immigration age for Global Distress Index and physical symptom distress score and the level of acculturation for psychological symptom distress score.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816349PMC
http://dx.doi.org/10.1097/CIN.0000000000000938DOI Listing

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