Evidence map›Paper›PMID 36138410›Full record

ArticleBMC health services research2022

Investigating the relationship between consultation length and quality of tele-dermatology E-consults in China: a cross-sectional standardized patient study.

Xue Gong, Mengchi Hou, Rui Guo, Xing Lin Feng

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Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xue Gong *School of Public Health, Capital Medical University, Beijing, China.
Mengchi Hou *China Aerospace Science & Industry Corporation 731 Hospital, Beijing, China.
Rui GuoSchool of Public Health, Capital Medical University, Beijing, China. guorui@ccmu.edu.cn.
Xing Lin FengDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China. fxl@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsultation length, the time a health provider spend with the patient during a consultation, is a crucial aspect of patient-physician interaction. Prior studies that assessed the relationship between consultation length and quality of care were mainly based on offline visits. Research was lacking in E-consults settings, an emerging modality for primary health care. This study aims to examine the association between consultation length and the quality of E-consults services.

methodsWe defined as standardized patient script to present classic urticaria symptoms in asynchronous E-consults at tertiary public hospitals in Beijing and Hangzhou, China. We appraised consultation length using six indicators, time waiting for first response, time waiting for each response, time for consultation, total times of provider's responses, total words of provider's all responses, and average words of provider's each response. We appraised E-consults services quality using five indicators building on China's clinical guidelines (adherence to checklist; accurate diagnosis; appropriate prescription; providing lifestyle modification advice; and patient satisfaction). We performed ordinary least squares (OLS) regressions and logistic regressions to investigate the association between each indictor of consultation length and E-consults services quality.

resultsProviders who responded more quickly were more likely to provide lifestyle modification advice and achieve better patient satisfaction, without compromising process, diagnosis, and prescribing quality; Providers who spent more time with patients were likely to adhere to clinical checklists; Providers with more times and words of responses were significantly more likely to adhere to the clinical checklist, provide an accurate diagnosis, appropriate prescription, and lifestyle modification advice, which achieved better satisfaction rate from the patient as well.

conclusionsThe times and words that health providers provide in E-consult can serve as a proxy measure for quality of care. It is essential and urgent to establish rules to regulate the consultation length for Direct-to-consumer telemedicine to ensure adequate patient-provider interaction and improve service quality to promote digital health better.

Indexed as

DermatologyTelemedicineCross-Sectional StudiesHumansPatient SatisfactionReferral and ConsultationChinaConsultation lengthQuality of E-consultsStandardized patientsTele-dermatology

Identifiers

PMID36138410
PMCPMC9493166

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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.