Evidence map›Paper›PMID 36294022›Full record

ArticleInternational journal of environmental research and public health2022

Changes in Doctor-Patient Relationships in China during COVID-19: A Text Mining Analysis.

Jiaxuan Li, Patrick Cheong-Iao Pang, Yundan Xiao, Dennis Wong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

4 authors.

Jiaxuan LiFaculty of Applied Sciences, Macao Polytechnic University, Macao SAR 999078, China.
Patrick Cheong-Iao PangFaculty of Applied Sciences, Macao Polytechnic University, Macao SAR 999078, China.ORCID 0000-0002-8820-5443
Yundan XiaoResearch Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China.
Dennis WongFaculty of Applied Sciences, Macao Polytechnic University, Macao SAR 999078, China.

Funding

Macao Polytechnic University RP/ESCA-05/2021
6 · The paper itself

Abstract

Doctor-patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients' attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regarding Chinese doctors from three regions from the online health platform Good Doctors Online (haodf.com, accessed on 13 October 2022). These comments were analyzed using text mining techniques, such as sentiment and word frequency analyses. The results showed improvements in DPRs after the pandemic, and the degree of improvement was related to the extent to which a location was affected. The findings also suggest that administrative services in the healthcare sector need further improvement. Based on these results, we summarize relevant recommendations at the end of this paper.

Indexed as

COVID-19PhysiciansChinaData MiningHumansPandemicsPhysician-Patient RelationsCOVID-19doctor–patient relationshipdoctor reviewssentiment analysistext miningword frequency analysis

Identifiers

PMID36294022
PMCPMC9603644

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.