Evidence map›Paper›PMID 37504031›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

How Does the Design of Consultation Pages Affect Patients' Perception of Physician Authority and Willingness to Seek Offline Treatment: A Randomized Controlled Trial.

Qi Wang, Hao Wang, Si Wang, Wen Zhang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Qi WangSchool of Industrial Design, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0002-2171-9183
Hao WangSchool of Industrial Design, Hubei University of Technology, Wuhan 430068, China.
Si WangSchool of Humanities, Jianghan University, Wuhan 430056, China.ORCID 0009-0009-4459-3104
Wen ZhangSchool of Journalism and Culture Communication, Zhongnan University of Economics and Law, Wuhan 430073, China.

Funding

"the Fundamental Research Funds for the Central Universities," Zhongnan University of Eco-nomics and Law 2722020JCT018
6 · The paper itself

Abstract

This study aimed to assess the impact of the color and font size of a dialogue box on an online physician-patient interaction page on patients' perceptions of the physician's authority and their willingness to schedule an offline appointment. A 2 × 2 between-group experiment was conducted to compare the effects of two dialogue box colors (gold vs. grey) and two font sizes (large vs. regular) on patients' perceptions. The results showed that a larger font size had a significant positive impact on patients' perceptions of the physician's authority, and the use of a gold-colored dialogue box also had a significant positive effect. A significant interaction was found between the dialogue box color and font size and patients' perceptions of the physician's authority. In addition, it was found that positive perceptions of the physician's authority significantly affected patients' willingness to schedule offline appointments and played a fully mediating role in the path of page design affecting offline appointment intentions. This study provides evidence that the design elements of a dialogue box-particularly, its color and font size-can influence patients' perceptions of a physician's authority and their willingness to schedule an offline appointment. These findings suggest that modifying the page design could improve the effectiveness of physician-patient communication.

Indexed as

consultation page designdialogue boxembodied cognitionoffline visitsonline clinicphysician authority

Identifiers

PMID37504031
PMCPMC10375948

What OpenQuestion 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 OpenQuestion graph.