Evidence map›Paper›PMID 42781355›Full record

ReviewAsia-Pacific journal of oncology nursing2026

Factors influencing patient activation among patients with cancer: A scoping review.

Xingyue Guo, Luyang Jin, Yan Li, Fangping Chen, Didi Xu, Ran Wang, Xuemei Xian

Abstract readReview
In one paragraph

Review in Asia-Pacific journal of oncology nursing, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xingyue GuoNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Luyang JinNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yan LiNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Fangping ChenNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Didi XuNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ran WangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xuemei XianNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cancer care increasingly relies on long-term self-management, making patient activation an important determinant of health outcomes. However, evidence on the factors influencing patient activation among patients with cancer remains fragmented. Guided by social ecosystem theory, this scoping review synthesized multilevel factors associated with patient activation to inform future research and intervention development. Methods: This review was conducted following Arksey and O'Malley's framework and reported in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) extension for scoping reviews. Twelve databases, including PubMed, Web of Science, Embase, Cochrane Library, Scopus, CINAHL, ProQuest, PsycINFO, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), China Science and Technology Journal Database (VIP Database), and Wanfang, were searched from inception to March 29, 2025. Basic qualitative content analysis was performed in NVivo 15 using deductive coding. Results: Twenty-six studies were included. Factors influencing patient activation were mapped to three levels of the social ecosystem: (1) the microsystem, including social factors, psychological factors (illness perceptions, motivation, emotional factors, psychological resources, and self-management cognition and ability), and physiological factors (disease course and treatment, cancer-related adverse effects, and health status); (2) the mesosystem, involving family, other social groups, and professional groups, particularly the quality and experience of medical interactions; and (3) the macrosystem, including culture, institutions, and community, which was the least frequently examined level. These factors may interact across levels, although evidence for cross-system pathways remains limited. Differences in influencing factors may also exist across phases of the cancer trajectory. Conclusions: This scoping review integrates evidence on factors influencing patient activation among patients with cancer through the lens of social ecosystem theory, addressing prior fragmentation in the literature. The findings provide a theoretical basis that may inform for future longitudinal studies, cross-cultural comparisons, and tailored intervention development.

Indexed as

CancerInfluencing factorsOncology nursingPatient activationScoping reviewSelf-management

Identifiers

PMID42781355
PMCPMC13598862

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.