Evidence map›Paper›PMID 29371176›Full record

ArticleJournal of medical Internet research2018

Unhappy Patients Are Not Alike: Content Analysis of the Negative Comments from China's Good Doctor Website.

Wei Zhang, Zhaohua Deng, Ziying Hong, Richard Evans, Jingdong Ma, Hui Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
14.9field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Wei ZhangInstitute of Smart Health, School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-0178-0750
Zhaohua DengInstitute of Smart Health, School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-7744-7818
Ziying HongInstitute of Smart Health, School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-4160-9739
Richard EvansDepartment of Business Information Management and Operations, University of Westminster, London, United Kingdom.ORCID 0000-0001-6367-0560
Jingdong MaInstitute of Smart Health, School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-2744-4579
Hui ZhangSchool of Public Administration, Guangzhou University, Guangzhou, China.ORCID 0000-0002-8516-309X
Huazhong University of Science and Technology · CNGuangzhou University · CNUniversity of Westminster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rise in popularity of Web 2.0 technologies, the sharing of patient experiences about physicians on online forums and medical websites has become a common practice. However, negative comments posted by patients are considered to be more influential by other patients and physicians than those that are satisfactory.

objectiveThe aim of this study was to analyze negative comments posted online about physicians and to identify possible solutions to improve patient satisfaction, as well as their relationship with physicians.

methodsA Java-based program was developed to collect patient comments on the Good Doctor website, one of the most popular online health communities in China. A total of 3012 negative comments concerning 1029 physicians (mean 2.93 [SD 4.14]) from 5 highly ranked hospitals in Beijing were extracted for content analysis. An initial coding framework was constructed with 2 research assistants involved in the codification.

resultsAnalysis, based on the collected 3012 negative comments, revealed that unhappy patients are not alike and that their complaints cover a wide range of issues experienced throughout the whole process of medical consultation. Among them, physicians in Obstetrics and Gynecology (606/3012, 20.12%; P=.001) and Internal Medicine (487/3012, 16.17%; P=.80) received the most negative comments. For negative comments per physician, Dermatology and Sexually Transmitted Diseases (mean 5.72, P<.001) and Andrology (mean 5, P=.02) ranked the highest. Complaints relating to insufficient medical consultation duration (577/3012, 19.16%), physician impatience (527/3012, 17.50%), and perceived poor therapeutic effect (370/3012, 12.28%) received the highest number of negative comments. Specific groups of people, such as those accompanying older patients or children, traveling patients, or very important person registrants, were shown to demonstrate little tolerance for poor medical service.

conclusionsAnalysis of online patient complaints provides an innovative approach to understand factors associated with patient dissatisfaction. The outcomes of this study could be of benefit to hospitals or physicians seeking to improve their delivery of patient-centered services. Patients are expected to be more understanding of overloaded physicians' workloads, which are impacted by China's stretched medical resources, as efforts are made to build more harmonious physician-patient relationships.

Indexed as

ChinaFemaleHumansInternetMalePatient SatisfactionPerceptionPhysician-Patient RelationsSadnessGood Doctors websitepatient complaint.patient satisfactionphysician-patient relationship

Identifiers

PMID29371176
PMCPMC5806007
OpenAlexW2785126133

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.