Evidence map›Paper›PMID 38814690›Full record

ArticleJournal of medical Internet research2024

Influence of Physical Attractiveness and Gender on Patient Preferences in Digital Doctor Consultations: Experimental Study.

Xia Wei, Shubin Yu, Changxu Victor Li

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Channeling Patient Flow in China: An Agent-Based Model of Insurance Reimbursement and Hierarchical Care.Inquiry : a journal of medical care organization, provision and financing
    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

3 authors.

Xia WeiCollege of Management, Shenzhen University, Shenzhen, China.ORCID 0000-0002-9555-6209
Shubin YuDepartment of Communication and Culture, BI Norwegian Business School, Oslo, Norway.ORCID 0000-0001-7719-3056
Changxu Victor LiDepartment of Marketing, KU Leuven, Leuven, Belgium.ORCID 0000-0002-3297-362X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rise of digital health services, particularly digital doctor consultations, has created a new paradigm in health care choice. While patients traditionally rely on digital reviews or referrals to select health care providers, the digital context often lacks such information, leading to reliance on visual cues such as profile pictures. Previous research has explored the impact of physical attractiveness in general service settings but is scant in the context of digital health care.

objectiveThis study aims to fill the research gap by investigating how a health care provider's physical attractiveness influences patient preferences in a digital consultation setting. We also examine the moderating effects of disease severity and the availability of information on health care providers' qualifications. The study uses signal theory and the sexual attribution bias framework to understand these dynamics.

methodsThree experimental studies were conducted to examine the influence of health care providers' physical attractiveness and gender on patient preferences in digital consultations. Study 1 (n=282) used a 2×2 between-subjects factorial design, manipulating doctor attractiveness and gender. Study 2 (n=158) focused on women doctors and manipulated disease severity and participant gender. Study 3 (n=150) replicated study 2 but added information about the providers' abilities.

resultsThis research found that patients tend to choose attractive doctors of the opposite gender but are less likely to choose attractive doctors of the same gender. In addition, our studies revealed that such an effect is more prominent when the disease severity is high. Furthermore, the influence of gender stereotypes is mitigated in both the high and low disease severity conditions when service providers' qualification information is present.

conclusionsThis research contributes to the literature on medical information systems research and sheds light on what information should be displayed on digital doctor consultation platforms. To counteract stereotype-based attractiveness biases, health care platforms should consider providing comprehensive qualification information alongside profile pictures.

Indexed as

Patient PreferenceAdultFemaleHumansMaleMiddle AgedPhysician-Patient RelationsSex FactorsYoung Adultdigital consultationdigital doctor consultationsdigital healthdisease severityexperimentalgendergender stereotypegender stereotypeshealth care providersphysical attractivenessqualification informationsextelemedicine

Identifiers

PMID38814690
PMCPMC11176878

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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.