Mobile Breast Cancer e-Support Program for Chinese Women With Breast Cancer Undergoing Chemotherapy (Part 3): Secondary Data Analysis (Preprint)
Authors: Zhu Haihua , Chen Xiuwan , Yang Jinqiu , Wu Qiaoling , Zhu Jiemin , Chan Sally Wai-Chi 
Published: March 2020

BACKGROUND

Many app-based interventions targeting women with breast cancer have been developed and tested for effectiveness. However, information regarding the evaluation of the usage of these interventions is scarce. A better understanding of usage data is important to determine how women use apps and how these interventions affect health outcomes.

OBJECTIVE

This study aimed to examine the usage duration and login frequency of an app-based intervention, the Breast Cancer e-Support (BCS) program, and to investigate the association between usage data and participants’ demographic and medical characteristics.

METHODS

This study is a secondary data analysis of a randomized controlled trial assessing the effectiveness of the BCS program. The BCS program contains four modules: Learning Forum, Discussion Forum, Ask-the-Expert Forum, and Your Story Forum. A total of 57 women in the intervention group accessed the BCS program during their 12-week chemotherapy. The app’s background system tracked the usage duration and login frequency for each forum and the entire BCS program.

RESULTS

The total usage duration per participant ranged from 0 to 9371 minutes, and the login frequency per participant ranged from 0 to 774 times. The Discussion Forum and the Learning Forum were the most frequently used modules. The general linear model showed that age, education, family monthly income, and employment were associated with BCS usage duration and/or login frequency. Age (<i>F</i><sub>1,45</sub>=10.09, <i>P</i>=.003, <i>B</i>=115.34, 95% CI 42.22-188.47) and education level (<i>F</i><sub>1,45</sub>=7.22, <i>P</i>=.01, <i>B</i>=1949.63, 95% CI 487.76-3411.50) were positively associated with the usage duration of the entire BCS program. Family monthly income was positively associated with the usage duration of the Learning Forum (<i>F</i><sub>1,45</sub>=11.85, <i>P</i>=.001, <i>B</i>=1488.55, 95% CI 617.58-2359.51) and the login frequency of the entire BCS program (<i>F</i><sub>1,45</sub>=4.47, <i>P</i>=.04, <i>B</i>=113.68, 95% CI 5.33-222.03). Employment was negatively associated with the usage duration of the Ask-the-expert Forum (<i>F</i><sub>1,45</sub>=4.50, <i>P</i>=.04, <i>B</i>=–971.87, 95% CI –1894.66 to –49.07) and the Your Story Forum (<i>F</i><sub>1,45</sub>=5.36, <i>P</i>=.03, <i>B</i>=–640.71, 95% CI –1198.30 to –83.11) and positively associated with the login frequency of the entire BCS program (<i>F</i><sub>1,45</sub>=10.86, <i>P</i>=.002, <i>B</i>=192.88, 95% CI 75.01-310.74). No statistical differences were found between BCS usage data and cancer stage, BMI, comorbidity, types of surgery, or cycles of chemotherapy.

CONCLUSIONS

Overall, this study found considerable variability in the usage of app-based interventions. When health care professionals incorporate app-based interventions into their routine care for women with breast cancer, the learning and discussion functions of apps should be strengthened to promote engagement. Additionally, characteristics of women with breast cancer, such as age, level of education, income, and employment status, should be taken in consideration to develop tailored apps that address their particular needs and therefore improve their engagement with the app.

CLINICALTRIAL

Australian New Zealand Clinical Trials Registry ACTRN12616000639426; http://www.ANZCTR.org.au/ACTRN12616000639426.aspx