Evidence map›Paper›PMID 42261344›Full record

ArticleJournal of research in nursing : JRN2026

Technology-based psychosocial education for cancer patients: a systematic review and meta-analysis.

Ice Septriani Saragih, Huey-Ming Tzeng, Irwan Susanto, Ita Daryanti Saragih

Abstract read
In one paragraph

Article in Journal of research in nursing : JRN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ice Septriani SaragihAssistant Professor, Universitas Diponegoro, Semarang, Indonesia.
Huey-Ming TzengProfessor, School of Nursing, The University of Texas Medical Branch, Galveston, TX, USA.ORCID https://orcid.org/0000-0002-1626-0806
Irwan SusantoAssistant Professor, Faculty of Teacher Training and Education, Universitas Darma Agung, Medan, Indonesia.
Ita Daryanti SaragihPostdoctoral Fellow, College of Information Sciences and Technology, The Pennsylvania State University, State College, PA, USA.ORCID https://orcid.org/0000-0002-7177-5933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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; 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.

Indexed as

cancermeta-analysispsychosocial interventionsystematic reviewtechnology

Identifiers

PMID42261344
PMCPMC13242360

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.