Evidence mapPaperPMID 36766897Full record

ArticleHealthcare (Basel, Switzerland)2023

Best-Worst Scaling Survey of Inpatients' Preferences in Medical Decision-Making Participation in China.

Tao Sun, Hanlin Chen, Yuan Gao, Yingru Xiang, Feng Wang, Ziling Ni, Xiaohe Wang, Xianhong Huang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors.

Tao SunDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Hanlin ChenDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Yuan GaoDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Yingru XiangThe Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Feng WangDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Ziling NiDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Xiaohe WangDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Xianhong HuangDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-5010-8082

Funding

The National Natural Science Foundation of China Project 71974050 and 72274051The Philosophy and Social Science Project of Zhejiang Province 23YJRC11ZD-3YB
6 · The paper itself

Abstract

This study assesses inpatients' preferences for participating in medical decision-making and determines the factors' rankings in order of importance and whether they vary for respondents with different characteristics. Case 1 best-worst scaling (BWS) was used for the study design. Thirteen attributes influencing inpatient medical decision-making participation were identified based on a literature review and interview results. A balanced incomplete block design was used to form choice sets for the BWS questionnaire for a cross-sectional study examining inpatients' preferences for participating in medical decision-making. Based on results from 814 inpatient participants, the three most important factors influencing inpatients' medical decision-making participation were inpatients' trust in physicians, physicians' professional expertise, and physicians' attitudes. The mixed logit model results reflect the significant heterogeneity in respondents' preferences for shared decision-making. To facilitate resource allocation, improve the physician-patient relationship, and encourage patient decision-making participation more actively and effectively, decision-makers should emphasize patients' trust, enhance physicians' ability to diagnose and treat diseases, and improve their attitudes toward providing care and communication from the perspectives of patients, physicians, and the social environment. Further research is needed on the heterogeneity of patients' preferences for participating in medical decision-making and how to improve patient participation.

Indexed as

best-worst scalinginpatientpatient participationpreferenceshared decision-making

Identifiers

PMID36766897
PMCPMC9914008

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.