Evidence map›Paper›PMID 35622403›Full record

ArticleJournal of medical Internet research2022

Patient Activeness During Online Medical Consultation in China: Multilevel Analysis.

Bolin Cao, Wensen Huang, Naipeng Chao, Guang Yang, Ningzheng Luo

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  17. Constructing RhetoricalInquiry : a journal of medical care organization, provision and financing
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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.

Bolin CaoSchool of Media and Communication, Shenzhen University, Shenzhen, China.ORCID 0000-0001-8743-1361
Wensen HuangSchool of Media and Communication, Shenzhen University, Shenzhen, China.ORCID 0000-0002-0910-766X
Naipeng ChaoSchool of Media and Communication, Shenzhen University, Shenzhen, China.ORCID 0000-0003-0673-4956
Guang YangSchool of Media and Communication, Shenzhen University, Shenzhen, China.ORCID 0000-0003-1170-7258
Ningzheng LuoHealth 160, Shenzhen, China.ORCID 0000-0001-7405-136X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline medical consultation is an important complementary approach to offline health care services. It not only increases patients' accessibility to medical care, but also encourages patients to actively participate in consultation, which can result in higher shared decision making, patient satisfaction, and treatment adherence.

objectiveThis study aims to explore multilevel factors that influence patient activeness in online medical consultations.

methodsA data set comprising 40,505 patients from 300 physicians in 10 specialties was included for multilevel analysis. Patient activeness score (PAS) was calculated based on the frequency and the proportion of patient discourses to the total frequency of doctor-patient interactions. Intraclass correlation coefficients were calculated to identify between-group variations, and the final multilevel regression model included patient- and physician-level factors.

resultsPatients were not equally active in online medical consultations, with PASs varying from 0 to 125.73. Patient characteristics, consultation behavioral attributes, and physician professional characteristics constitute 3 dimensions that are associated with patient activeness. Specifically, young and female patients participated more actively. Patients' waiting times online (β=-.17; P<.001) for physician responses were negatively correlated with activeness, whereas patients' initiation of conversation (β=.83; P<.001) and patient consultation cost (β=.52; P<.001) in online medical consultation were positively correlated. Physicians' online consultation volumes (β=-.10; P=.01) were negatively associated with patient activeness, whereas physician online consultation fee (β=.03; P=.01) was positively associated. The interaction effects between patient- and physician-level factors were also identified.

conclusionsPatient activeness in online medical consultation requires more scholarly attention. Patient activeness is likely to be enhanced by reducing patients' waiting times and encouraging patients' initiation of conversation in online medical consultation. The findings have practical implications for patient-centered care and the improvement of online medical consultation services.

Indexed as

CommunicationReferral and ConsultationChinaFemaleHumansMultilevel AnalysisPatient Satisfactiononline medical consultationpatientpatient activenessphysician

Identifiers

PMID35622403
PMCPMC9187968

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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.