Cancer Genetics and Epigenetics, 2025, Vol.13, No.5, 224-235 http://medscipublisher.com/index.php/cge 229 Another key issue is how to effectively integrate the monitoring data into the current medical information system. It is necessary to address multiple issues such as information sharing, privacy protection and data security, so as to both protect patients' privacy and facilitate medical use. In addition, the data measured by different devices may vary, and patients' mastery of digital tools also differs. Therefore, it is necessary to carry out more rigorous equipment calibration and accuracy confirmation, and sufficient usage guidance should be provided. All these indicate that the wide application of remote monitoring in cancer treatment still requires more research and improvement (Tan et al., 2024). 6 Progress of Meta-analysis 6.1 Existing research achievements Comprehensive analysis consistently shows that digital health intervention methods - including APP-based, remote monitoring, and psychosocial support methods - have an overall positive impact on the quality of life (QoL) of cancer patients. For instance, compared with conventional care, APP-based intervention has a more obvious effect in improving the quality of life, enhancing self-care ability, and alleviating anxiety, depression and pain. Measures with shorter intervention periods and stronger interactivity tend to have better effects. Similarly, positive psychological intervention, individualized support programs, as well as exercise and telemedicine programs, all contribute to improving the physical, emotional and social quality of life of patients and alleviating discomfort symptoms (Figure 2) (Chen et al., 2024; Tian et al., 2024). Two-way communication and family-centered intervention are equally beneficial for both patients and caregivers, especially when the intervention lasts for a long time (Li et al., 2025). These positive effects can be observed in a variety of interventions, such as symptom management, physical exercise, and palliative care based on electronic patient reports. Comprehensive analysis shows that the improvement in quality of life brought about by these practices is mostly small to moderate. More importantly, these practices are feasible in practice and can be incorporated into the routine diagnosis and treatment process of tumors, providing a basis for further promotion (Li et al., 2023). 6.2 Differences in cancer types, intervention forms, and follow-up durations Subgroup analysis shows that the impact of digital health interventions on quality of life may vary depending on the type of cancer, intervention method, and follow-up time. For instance, compared with patients with other cancers, those with breast cancer and gynecological cancers often achieve more significant improvements in their quality of life through psychological intervention and exercise intervention. The form of intervention is also very crucial: App interventions with shorter duration, strong interactivity, and centered on doctor-patient communication generally have better effects, while the effect of long-term intervention may gradually decline over time (Chen et al., 2024). The duration of follow-up is a key factor. Multiple studies have shown that the improvement in quality of life is more significant at the end of the intervention or within weeks 12-24, but the effect usually weakens after 48 weeks (Bognar et al., 2024). In addition, if intervention measures can be designed according to the individual needs of patients, whether carried out remotely or during specific treatment periods (such as chemotherapy), better results are generally achieved (Li et al., 2023). However, due to the significant differences in intervention methods and population characteristics, the results of various studies are still not easy to be directly compared. 6.3 Inconsistent research quality, limited sample size and lack of long-term evidence Although the overall results of the existing research are good, there are still many deficiencies when viewed as a whole. Due to different research designs, possible biases and inconsistent reporting standards, the overall quality varies (Nguyen et al., 2023). Many trials have a small sample size, which affects the statistical results and makes it difficult to generalize the conclusions to a wider population. Meanwhile, the high exit ratio reduces the reliability of the long-term conclusion. The quality of life scales and intervention methods used in different studies vary greatly, making it difficult to combine and compare the results and not conducive to finding more effective application methods (Weiss et al., 2025).
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