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Technology-based psychosocial interventions improve quality of life and reduce anxiety in childhood cancer survivorsDigital Support May Improve Life Quality for Young Cancer Survivors

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Key Takeaway
Consider technology-based psychosocial interventions to improve quality of life and reduce anxiety in AYA cancer survivors.

This meta-analysis evaluated the impact of technology-based psychosocial interventions on quality of life (QoL) and related psychological outcomes in 747 adolescent and young adult (AYA) survivors of childhood cancer. The analysis included follow-up periods ranging from 6 to 24 months.

The synthesis found a small but statistically significant improvement in overall QoL (SMD = 0.24; 95% CI 0.09 to 0.39, p = 0.001). At the 6 to 24-month follow-up, QoL showed a small-to-moderate improvement (SMD = 0.36; 95% CI 0.11 to 0.60, p = 0.004). Additionally, anxiety scores showed a small-to-moderate reduction (SMD = -0.35; 95% CI -0.65 to -0.05, p = 0.02).

Results for other psychological domains were less consistent. Improvements in depression (SMD = -0.31), distress (SMD = -0.04), and emotional well-being (SMD = 0.20) did not reach statistical significance. The authors noted that results across these broader psychological domains were more variable.

Clinically, technology-based psychosocial interventions are associated with modest but statistically significant improvements in QoL and anxiety for AYA survivors. These findings suggest potential for sustained benefits over time, though the magnitude of effect for specific psychological distress markers remains uncertain.

A meta-analysis of 747 adolescent and young adult survivors of childhood cancer examined whether technology-based psychosocial interventions—such as apps, online programs, or telehealth—could help improve quality of life and emotional well-being.

The analysis found that these digital interventions led to small but meaningful improvements in overall quality of life. At follow-up periods of 6 to 24 months, the benefits appeared to last, with a small-to-moderate improvement. Anxiety also decreased by a small-to-moderate amount.

However, the effects on other areas like depression, distress, and emotional well-being were not statistically significant, meaning the results could have been due to chance. The study authors note that results across broader psychological domains were more variable.

No information was reported on side effects or how well participants tolerated the interventions. The review did not report funding sources or conflicts of interest.

Overall, technology-based support shows promise for helping young cancer survivors feel better and less anxious, but more research is needed to understand its full impact.

What this means for you:
Digital support modestly improves quality of life and anxiety in young cancer survivors, but other benefits are unclear.

Common questions

What kind of technology-based support was studied?

The meta-analysis looked at technology-based psychosocial interventions. That means things like apps, online programs, or digital tools designed to help with emotional and social well-being. The study didn't specify which exact tools were used, but they were all delivered through technology rather than in person.

Did the support help with depression?

No, the study found that depression did not improve in a statistically significant way. The same was true for distress and emotional well-being. Only overall quality of life and anxiety showed significant improvements. So while tech support helped some areas, it didn't help all mental health outcomes.

How long did the benefits last?

The study followed participants for 6 to 24 months. Quality of life improvements actually got a bit stronger over that time, with a small-to-moderate effect. That suggests the benefits can stick around, at least for up to two years. But longer-term effects beyond that aren't known from this study.

Is this something I should try if I'm a survivor?

This study suggests tech-based support might help with quality of life and anxiety, but the effects are small and not every area improved. It's not a replacement for professional care. If you're a survivor dealing with these issues, talk to your doctor about what options might be right for you.

Study Details

Study typeMeta analysis
Sample sizen = 747
EvidenceLevel 1
Follow-up24.0 mo
PublishedOct 2026
View Original Abstract ↓
PURPOSE: Adolescent and young adult (AYA) survivors of childhood cancer remain at risk of psychological distress and reduced quality of life (QoL). We evaluated the efficacy of technology-based psychosocial interventions on QoL and psychological outcomes in this population. METHODS: PubMed, CINAHL, Cochrane Library, PsycINFO, Embase, Scopus, and Web of Science were searched for randomized controlled trials (RCTs) published between 2015 and 2025. Outcomes were QoL, anxiety, depression, distress, and emotional well-being. Risk of bias was assessed with RoB 2. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were pooled with random-effects models (RevMan Web); heterogeneity (I), subgroup analyses by assessment timing and leave-one-out sensitivity analyses were performed (PROSPERO: CRD420251248328). RESULTS: Ten RCTs (747 participants) were included. Technology-based interventions were associated with a small but statistically significant improvement in overall QoL (SMD = 0.24, 95% CI 0.09 to 0.39, p = 0.001); the effect was not significant post-intervention but was small-to-moderate at 6-24-month follow-up (SMD = 0.36, 95% CI 0.11 to 0.60, p = 0.004). A small-to-moderate reduction in anxiety was observed (SMD = - 0.35, 95% CI - 0.65 to - 0.05, p = 0.02), whereas effects on depression (SMD = - 0.31), distress (SMD = - 0.04), and emotional well-being (SMD = 0.20) were not statistically significant. CONCLUSION: Technology-based psychosocial interventions were associated with modest but statistically significant improvements in QoL and anxiety among AYA survivors of childhood cancer, with evidence of sustained benefits over time. Effects on broader psychological domains were more variable; larger, theory-driven trials with standardized outcomes are needed.
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