Evidence map›Paper›PMID 41675203›Full record

ArticleAsia-Pacific journal of oncology nursing2026

A self-service response system to improve nutrition impact symptoms management among home-based patients with advanced cancer and their family caregivers.

Yitao Wei, Zhenglong Lin, Bingqian Ou, Jinyi Wu, Guojuan Chen, Guiru Xu, Xiaoyan Lin, Jianwei Zheng, Huimin Xiao

Abstract read
In one paragraph

Article 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

9 authors.

Yitao WeiSchool of Nursing, Fujian Medical University, Fuzhou, China.
Zhenglong LinSchool of Nursing, Fujian Medical University, Fuzhou, China.
Bingqian OuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Jinyi WuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Guojuan ChenSchool of Nursing, Fujian Medical University, Fuzhou, China.
Guiru XuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Xiaoyan LinDepartment of Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Jianwei ZhengDepartment of Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Huimin XiaoSchool of Nursing, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop an evidence-based self-service response system, named Methods: A human-centered design was adopted in this study. It covered two main stages with six phases: (1) system development, including study team establishment, design requirements definition, user requirements definition, and NiS© prototype creation; and (2) system usability evaluation, including expert user experience reviews, and usability testing with end users to assess task completion rate, accuracy, time-on-task, and user satisfaction measured by the Post-Study System Usability Questionnaire (PSSUQ) and semi-structured interviews. Results: The developed evidence-based NiS© system comprised four core modules: Self-Report, Intelligent Response, Knowledge Base, and Feedback Interaction. System usability evaluation demonstrated positive performance, with all tasks achieving 100% completion and accuracy rates. The average task duration was 8 minutes and 10 seconds (standard deviation [SD] = 31 seconds), and the PSSUQ yielded a mean score of 1.77 ± 0.03, indicating high user satisfaction. Qualitative feedback revealed strong user acceptance of NiS©, with participants emphasizing its practical utility and user-centric design. Additionally, participants provided actionable recommendations across three domains: (1) computational efficiency improvements for real-time responsiveness, (2) feature expansion to support personalized adaptive workflows, and (3) linguistic calibration for enhanced conversational naturalism. Conclusions: NiS© is a user-centric, evidence-based, self-service system designed to deliver personalized NIS management support for patients with advanced cancer and their caregivers in homecare settings. Rigorous randomized controlled trials are warranted to establish its therapeutic efficacy across diverse healthcare ecosystems.

Indexed as

Human-centered designmHealthSelf careSymptom managementUsability testing

Identifiers

PMID41675203
PMCPMC12887375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.