TY - JOUR
T1 - Technology-based psychosocial education for cancer patients
T2 - a systematic review and meta-analysis
AU - Saragih, Ice Septriani
AU - Tzeng, Huey Ming
AU - Susanto, Irwan
AU - Saragih, Ita Daryanti
N1 - Publisher Copyright:
© The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
PY - 2026
Y1 - 2026
N2 - Background: Technology-based health interventions present innovative and scalable approaches to enhance cancer care. These interventions have potential to support psychosocial well-being, which is often challenged following a cancer diagnosis and throughout survivorship. Such innovations also enable nurses to extend psychosocial support beyond traditional clinical settings and align with health policy efforts to integrate digital supportive care into routine oncology services. Aims: To evaluate the effectiveness of technology-based psychosocial education interventions for cancer patients. Methods: Six databases (CINAHL, Cochrane Library, Embase, Medline [Ovid], PubMed and Web of Science) were searched from inception to 29 April 2025. The Cochrane Risk-of-Bias Tool (RoB 2) was used to assess the methodological quality of included studies. Standardised mean differences (SMDs) were calculated to synthesise outcomes measured using varied tools. Results: Fourteen studies met the inclusion criteria, including 1509 participants. Technology-based psychosocial education interventions significantly reduced fear of cancer recurrence (SMD = −0.21; 95% CI: −0.42 to −0.01; I2 = 4.7%; p = 0.04). Non-significant pooled estimates were observed for reduced psychological distress (SMD = −0.23; 95% CI: −0.61 to 0.15; I2 = 76.1%; p = 0.23) and improved quality of life (SMD = 0.21; 95% CI: −0.02 to 0.45; I2 = 20.0%; p = 0.08). Conclusion: Technology-based psychosocial education interventions show promise in reducing fear of cancer recurrence and may support broader psychosocial outcomes. These interventions are scalable and suitable for diverse clinical settings, supporting nurse-led psychosocial education, remote patient follow-up and the integration of digital supportive care within oncology service delivery.
AB - Background: Technology-based health interventions present innovative and scalable approaches to enhance cancer care. These interventions have potential to support psychosocial well-being, which is often challenged following a cancer diagnosis and throughout survivorship. Such innovations also enable nurses to extend psychosocial support beyond traditional clinical settings and align with health policy efforts to integrate digital supportive care into routine oncology services. Aims: To evaluate the effectiveness of technology-based psychosocial education interventions for cancer patients. Methods: Six databases (CINAHL, Cochrane Library, Embase, Medline [Ovid], PubMed and Web of Science) were searched from inception to 29 April 2025. The Cochrane Risk-of-Bias Tool (RoB 2) was used to assess the methodological quality of included studies. Standardised mean differences (SMDs) were calculated to synthesise outcomes measured using varied tools. Results: Fourteen studies met the inclusion criteria, including 1509 participants. Technology-based psychosocial education interventions significantly reduced fear of cancer recurrence (SMD = −0.21; 95% CI: −0.42 to −0.01; I2 = 4.7%; p = 0.04). Non-significant pooled estimates were observed for reduced psychological distress (SMD = −0.23; 95% CI: −0.61 to 0.15; I2 = 76.1%; p = 0.23) and improved quality of life (SMD = 0.21; 95% CI: −0.02 to 0.45; I2 = 20.0%; p = 0.08). Conclusion: Technology-based psychosocial education interventions show promise in reducing fear of cancer recurrence and may support broader psychosocial outcomes. These interventions are scalable and suitable for diverse clinical settings, supporting nurse-led psychosocial education, remote patient follow-up and the integration of digital supportive care within oncology service delivery.
KW - cancer
KW - meta-analysis
KW - psychosocial intervention
KW - systematic review
KW - technology
UR - https://www.scopus.com/pages/publications/105040981812
UR - https://www.scopus.com/pages/publications/105040981812#tab=citedBy
U2 - 10.1177/17449871261442808
DO - 10.1177/17449871261442808
M3 - Article
C2 - 42261344
AN - SCOPUS:105040981812
SN - 1744-9871
JO - Journal of Research in Nursing
JF - Journal of Research in Nursing
ER -