Evidence map›Paper›PMID 41883539›Full record

ArticleDigital health

Prioritizing implementation strategies of electronic patient-reported outcome in cancer management in primary health care: A best-worst scaling study among stakeholders.

Changjin Wu, Jingyu Zhang, Xuqing Wang, Jundi Zheng, Min Li, Lu Xu, Maoyu Wei, Zhongqiang Shen, Ping Chen, Yuxian Nie and 2 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

12 authors.

Changjin WuSchool of Public Health, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-2137-3004
Jingyu ZhangState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-5057-5553
Xuqing WangYangzhou Hospital affiliated to Nanjing University of Chinese Medicine, Yangzhou, China.
Jundi ZhengClinical Traditional Chinese Medicine College of Yangzhou University, Yangzhou, China.ORCID https://orcid.org/0009-0002-4211-7787
Min LiState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0002-4327-2383
Lu XuYangzhou Hospital affiliated to Nanjing University of Chinese Medicine, Yangzhou, China.ORCID https://orcid.org/0009-0005-0841-1001
Maoyu WeiYangzhou Hospital affiliated to Nanjing University of Chinese Medicine, Yangzhou, China.
Zhongqiang ShenYangzhou Hospital affiliated to Nanjing University of Chinese Medicine, Yangzhou, China.
Ping ChenDepartment of Oncology, Chengdu Seventh People's Hospital, Chengdu, China.
Yuxian NieState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China.
Qiuling ShiSchool of Public Health, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0003-0660-3809
Xiaojun DaiYangzhou Hospital affiliated to Nanjing University of Chinese Medicine, Yangzhou, China.ORCID https://orcid.org/0000-0003-2647-4725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic patient-reported outcomes (ePRO) are valuable for cancer symptom monitoring, but implementation in resource-limited primary health care remains challenging. Identifying stakeholder preferences regarding implementation strategies is crucial for facilitating the adoption and effectiveness of ePRO-based cancer symptom management. Objective: This study aimed to prioritize optimal implementation strategies for ePRO-based cancer symptom management in Chinese primary health care, considering stakeholder preferences. Methods: A best-worst scaling was conducted among stakeholders. Thirteen implementation strategies, derived through qualitative research and implementation science frameworks, were assessed. Preferences were analyzed using count analysis, conditional logit model (CLM), mixed logit model (MLM), and latent class analysis (LCA). Results: A total of 169 respondents were included in the final analysis. Count analysis identified the top three preferred strategies as developing tiered cancer management through ePRO (standardized BW = 0.32), providing evidence-based practice (EBP) incentives (standardized BW = 0.20), and engaging stakeholders (standardized BW = 0.14). Least preferred were disseminating paper/web-based ePRO-related materials (standardized BW = -0.28) and developing ePRO toolkits (standardized BW = -0.25). CLM and MLM results aligned with count analysis, with tiered cancer management through ePRO having the highest odds ratios (OR = 3.20 for CLM, 4.37 for MLM), followed by EBP incentives (OR = 2.55 for CLM, 3.12 for MLM) and stakeholder engagement (OR = 2.25 for CLM, 3.13 for MLM). LCA identified five stakeholder subgroups with distinct preference patterns based on professional roles and settings, including: favorability towards tiered cancer management through ePRO (class 1), preferences for disseminating paper/web-based ePRO-related materials (class 2), financial incentives among younger practitioners and healthcare administrators (classes 3 and 4), and prioritization of stakeholder engagement (class 5). However, tiered cancer management through ePRO were relatively highly preferred across all groups. Conclusions: Tailoring ePRO implementation to stakeholder preferences is crucial. Tiered cancer management was universally preferred, while other strategies varied by professional role. Future research should focus on longitudinal evaluations and economic assessments.

Indexed as

Best–worst scalingcancer managementelectronic patient-reported outcomepreferenceprimary health care

Identifiers

PMID41883539
PMCPMC13009812

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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.