Evidence map›Paper›PMID 39837934›Full record

ArticleScientific reports2025

The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community.

Beibei Yang, Wei Lu, Yan Xuan, Chongqi Hao, Xiaojun Huang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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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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

5 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

5 authors.

Beibei YangDepartment of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Wei LuSchool of Management, Hainan Medical University, Haikou, China. hy0205044@hainmc.edu.cn.
Yan XuanSchool of Management, Hainan Medical University, Haikou, China.
Chongqi HaoSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Xiaojun HuangSchool of Management, Hainan Medical University, Haikou, China.

Funding

Joint Program on Health Science & Technology Innovation of Hainan Province WSJK2024QN069Research Project of Health Industry in Hainan Province 22A200017the Hainan Province Clinical Medical Center QWYH202175
6 · The paper itself

Abstract

Patients are turning to OHCs to deal with the stresses and complications of infertility. As a stigmatized disease, infertile patients may value informational support and emotional support differently, which is ignored in existing studies. Based on social support theory, this study aims to reveal the role of informational support and emotional support of doctors in infertile patient decision-making. We select Haodf.com as our data source and we collected information for all new patients of 2,989 doctors. we use Jieba word segmentation tool and TF-IDF algorithm to segment word and find keywords. Then random forest algorithm is used to classify 750 training texts and 250 test texts. We measure all the treatment experience of these new patients between September and December 2022 and then take the average value (TreatExpi). The sentiment analysis application program interface from Baidu AI-NLP is used to measure emotion state of patients and then the average value is included (EmoStai). In order to eliminate the influence of other factors, control variables including the number of patients online (#Patienti), the recommendation (Recommendationi), hospital level (Hleveli), doctor medical title (Mtitlei) and service price (Serpi). First, the effects of social support expressed from doctor and social support disclosed from peers show heterogeneity on patient decision-making. Second, the influences of informational support and emotional support also show difference. Third, the above relationships change with the characteristics of patients. Detecting different types and different sources of social support activities via text mining contributes to between understanding patient decision behavior in OHCs. This study contributes social support theory and OHC studies, and helps the management and design OHCs.

Indexed as

Decision MakingPhysiciansSocial SupportAdultEmotionsFemaleHumansMalePeer GroupPhysician-Patient RelationsDecision behaviorInfertilityOnline health communitiesPatient characteristicsSocial support

Identifiers

PMID39837934
PMCPMC11751161

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.