Evidence map›Paper›PMID 37214556›Full record

ArticlePatient preference and adherence2023

Factors Influencing Participation in Shared Decision-Making Among Patients with Glaucoma in China: A Cross-Sectional Study.

Yiwen Sun, Wenzhe Zhou, Shushu Zuo, Chen Chen, Qiqi Zhang, Yanyan Chen

Abstract read
In one paragraph

Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

6 authors.

Yiwen SunSchool of Ophthalmology and Optometry, Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.ORCID 0000-0003-2208-1692
Wenzhe ZhouGlaucoma Clinical Center, the Eye Hospital of Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang, People's Republic of China.
Shushu ZuoSchool of Ophthalmology and Optometry, Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Chen ChenSchool of Ophthalmology and Optometry, Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Qiqi ZhangSchool of Ophthalmology and Optometry, Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Yanyan ChenNursing Department, the Eye Hospital of Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the level of participation in shared decision-making by patients with glaucoma and identify influencing factors, to subsequently provide references to promote shared decision-making in ophthalmology, and achieve patient-centered care. Patients and Methods: A questionnaire was completed by 148 patients with glaucoma who had been admitted to a specialized ophthalmic hospital in China, between October 2021 and January 2022. The participants' responses to the nine-item Shared Decision-Making Questionnaire (SDM-Q-9) and a general information survey were analyzed to determine their level of participation in shared decision-making and influencing factors. Multiple linear regression was used to identify factors that influence shared decision-making at the time of clinical practice. Results: The mean score of SDM-Q-9 was 71.73±21.27 (n=140). Multiple linear regression analysis showed that patients with negative attitudes towards participation in decision-making ( Conclusion: Patients with glaucoma presented a high level of shared decision-making. Patients' attitudes towards participating in decision-making, the payment method of medical expenses, and the level of satisfaction with medical services are factors that influence their level of participation in shared decision-making.

Indexed as

glaucomainfluencing factorpatient participationshared decision-making

Identifiers

PMID37214556
PMCPMC10199703

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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.