Evidence map›Paper›PMID 34442093›Full record

ArticleHealthcare (Basel, Switzerland)2021

Impact of Physicians' Competence and Warmth on Chronic Patients' Intention to Use Online Health Communities.

Xijing Zhang, Runtong Zhang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Xijing ZhangDepartment of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0002-6594-4139
Runtong ZhangDepartment of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0003-0246-5058

Funding

Beijing Social Science Foundation Research Base 18JDGLA017National Social Science Fund of China 18ZDA086
6 · The paper itself

Abstract

In China, medical resources are unevenly distributed, and hospitals are very congested. Online health communities (OHCs) provide a new way for patients to communicate and obtain health-related information, thereby alleviating the pressure of treatment in hospitals. However, little is known about how to increase individuals' use intention for OHCs from the perspective of physicians. This study aims to investigate the impact of physicians' competence and warmth on chronic patients' intention to use physician-centered OHCs based on the technology acceptance model. A formal investigation was anonymously conducted through a web-based questionnaire survey addressed to participants, and 710 valid responses were received. A research model was constructed and the hypotheses were tested by structural equation modeling. The findings suggest that competence and warmth positively affect chronic patients' behavioral intention to use (BIU) OHCs through the mediation of perceived usefulness (PU) and perceived ease of use (PEOU). All hypotheses were supported at the 0.05 significant level. Compared with competence, warmth has a slightly stronger impact on PU and PEOU. PEOU has a stronger impact on chronic patients' BIU OHCs than PU. This study provides a comprehensive understanding of the impacts of physicians' characteristics in physician-driven OHCs. Compared with competence, physicians' warmth should be paid more attention to motivate more chronic patients to use OHCs. Enhancing physicians' warmth and the ease of use are the preferred ways to improve chronic patients' intention to use OHCs.

Indexed as

chronic diseasecompetenceonline health communitythe technology acceptance modelwarmth

Identifiers

PMID34442093
PMCPMC8392824

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.