Objective: To examine the effectiveness of partnErship-based, needs-tailored self-Management support Program fOr Women with breast cancER (EMPOWER), a partnership-based, needs-tailored, self-management (SM) support intervention designed to empower post-treatment breast cancer survivors (BCSs) and ultimately improve their health outcomes.Methods: This multi-center, two-armed, randomized controlled trial comprised 94 female BCSs who had completed primary cancer treatment in South Korea. Participants were randomly assigned (1:1) to the intervention group or the wait-list control group. The intervention group received a 7-week EMPOWER intervention via telephone counseling. The primary outcome was empowerment. Secondary outcomes included self-efficacy for post-treatment SM behaviors, mental adjustment, anxiety, depression, and health-related quality of life. Data were collected via a self-reported questionnaire at baseline (T0) and at 8 (T1) and 20 weeks (T2) of follow-up. Linear mixed models were used to assess group differences over time.Effective sizes were calculated using Cohen's d. Results:Retention rates were excellent (95.7% at T1; 94.7% at T2). Linear mixed model analyses revealed that the EMPOWER group showed significantly improved empowerment (mean difference 2.24, 95% CI = 0.18 to 4.29; p = 0.016) and general health perception (mean difference 3.68, 95% CI = 0.67 to 6.72; p = 0.037) compared with the control group. Time point analysis showed that several secondary outcomes significantly improved at T1, but the effects were not sustained. Conclusion: EMPOWER was effective in improving empowerment and general health perception among post-treatment BCS. Further studies are needed to determine the effectiveness of the EMPOWER intervention in other cancer populations.

Background Digital care has become an essential component of health care. Interventions for patients with cancer need to be effective and safe, and digital health interventions must adhere to the same requirements. Objective The purpose of this study was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) targeting adult patients with cancer. Methods A scoping review using the JBI methodology was conducted. The participants were adult patients with cancer, and the concept was digital health interventions. The context was open, and sources were limited to RCT effectiveness studies. The PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed databases were searched. Data were extracted and analyzed to achieve summarized results about the participants, types, functions, and outcomes of digital health interventions. Results A total of 231 studies were reviewed. Digital health interventions were used mostly at home (187/231, 81%), and the web-based intervention was the most frequently used intervention modality (116/231, 50.2%). Interventions consisting of multiple functional components were most frequently identified (69/231, 29.9%), followed by those with the self-manage function (67/231, 29%). Web-based interventions targeting symptoms with the self-manage and multiple functions and web-based interventions to treat cognitive function and fear of cancer recurrence consistently achieved positive outcomes. More studies supported the positive effects of web-based interventions to inform decision-making and knowledge. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, health-related quality of life or quality of life, pain, physical activity, and sleep was subject to their type and function. A relatively small number of digital health interventions specifically targeted older adults (6/231, 2.6%) or patients with advanced or metastatic cancer (22/231, 9.5%). Conclusions This scoping review summarized digital health interventions developed and evaluated in RCTs involving adult patients with cancer. Systematic reviews of the identified digital interventions are strongly recommended to integrate digital health interventions into clinical practice. The identified gaps in digital health interventions for cancer care need to be reflected in future digital health research.

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This study aimed to examine the levels of perceived self-management support, self-efficacy for self-management, and health-related quality of life (HRQoL) in cancer survivors, and to identify the mediating effect of self-efficacy in the relationship between perceived self-management support and HRQoL. Methods: This study used a descriptive correlational design. Two hundred and four cancer survivors who had completed treatment participated in the study. Measurements included the Patient Assessment of Chronic Illness Care Scale, the Korean version of the Cancer Survivors' Self-Efficacy Scale, and the Medical Outcomes Study Short Form-36. Data were analyzed using descriptive statistics, Pearson's correlation coefficient analysis, and multiple regression analysis using Baron and Kenny's method for mediation. Results: The mean score for perceived self-management support was 3.35 out of 5 points, self-efficacy was 7.26 out of 10 points, and HRQoL was 65.90 out of 100 points. Perceived self-management support was significantly positively correlated with self-efficacy (r=.29, p<.001) and HRQoL (r=.27, p<.001). Self-efficacy was also significantly correlated with HRQoL (r=.59, p<.001). Furthermore, self-efficacy (β=.55, p<.001) had a complete mediating effect on the relationship between perceived self-management support and HRQoL (Z=3.88, p<.001). Conclusion: The impact of perceived self-management support on HRQoL in cancer survivors was mediated by self-efficacy for self-management. This suggests that strategies for enhancing self-efficacy in cancer survivors should be considered when developing self-management interventions for improving their HRQoL.

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