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Feasibility and preliminary effects of mhealth supportive care interventions in adults with myeloid neoplasms: a systematic review

  • Kai Chen,
  • Cuiping Gou,
  • Zonghui Wu,
  • Liya Guo

摘要

Purpose

Mobile health (mHealth) supportive care interventions have the potential to address the complex supportive care needs of adults with myeloid neoplasms (MNs); however, existing evidence remains fragmented, limiting meaningful interpretation and clinical application. This systematic review aimed to synthesize the feasibility and preliminary effects of mHealth supportive care interventions for adults with MNs.

Methods

PubMed, Embase, Web of Science, and the Cochrane Library were searched from inception to November 18, 2025. Studies examining patient-facing mHealth supportive care interventions in adults with MNs were included. Given the heterogeneity in study design, intervention functions, and outcome operationalization, a structured narrative synthesis was conducted. Feasibility and preliminary effects were synthesized narratively. Methodological quality was assessed using the Mixed Methods Appraisal Tool (MMAT).

Results

Sixteen reports from 11 studies were included. MMAT scores ranged from 40 to 100% (median 80%). mHealth supportive care interventions were classified into four predefined functional domains: medication adherence and clinical monitoring; psychological support; value-based goal setting and self-efficacy support; and exercise rehabilitation support. Overall, mHealth supportive care interventions showed generally favorable but variable feasibility. Preliminary effects differed across these domains, with observed benefits tending to align with the primary supportive care function of each intervention.

Conclusion

mHealth supportive care interventions for adults with MNs appear feasible and show domain-specific signals of benefit, although the evidence base remains small, unevenly distributed across domains, and preliminary. The function-oriented perspective proposed in this review may offer a useful lens for synthesizing and interpreting evidence on mHealth supportive care interventions.