Evidence map›Paper›PMID 40980466›Full record

ArticleRisk management and healthcare policy2025

Inpatient Participation in Patient Safety Behaviors: Decision-Making Typologies from a Qualitative Study.

Chunni Wang, Haoning Shi, Xingyao Du, Ying Peng, Mingzhao Xiao, Qinghua Zhao, Huanhuan Huang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. 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

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chunni WangDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Haoning ShiDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Xingyao DuDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Ying PengDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Mingzhao XiaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Qinghua ZhaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Huanhuan HuangDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0003-0845-7526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient participation in safety behaviors has been recognized as a critical component of reducing medical errors and improving healthcare outcomes in hospitalized settings. However, there is currently a lack of research to understand the decision-making processes that drive these behaviors. Purpose: This study aimed to identify and construct the different types of decision-making personas adopted by inpatients when thinking about participating in patient safety. Methods: A qualitative phenomenological study was conducted at a tertiary hospital in Chongqing from October to December 2024. Inpatients meeting the inclusion and exclusion criteria were selected via purposive sampling, and semi-structured interviews were performed to explore their motivation, willingness, decision-making factors, decision-making balance, and effect evaluation during their participation in patient safety decision-making. Data were analyzed using Colaizzi's seven-step method, facilitating the process from raw data to factual labeling and ultimately to the construction of personas dimensions. Patient characteristics were extracted and personas were constructed by artificial intelligence (AI), with the visualization of these personas achieved through a combination of character images and labels. Results: This study developed four distinct personas that reflect the decision-making types of inpatients' participation in patient safety, with the personas classifications as follows: self-driven decision-makers, passive collaborators, resource-limited decision avoiders, and self-assertive decision-makers. Conclusion: The diversity of patients' decision-making types necessitates targeted interventions, such as shared decision-making tools, simplified communication, community support provision, and trust reconstruction. Future research should also include longitudinal studies and cross-cultural validation.

Indexed as

decision makinginpatientspatients for patient safetypersonaqualitative study

Identifiers

PMID40980466
PMCPMC12444088

What Socratic 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 Socratic graph.