Evidence map›Paper›PMID 35759683›Full record

ArticleJMIR public health and surveillance2022

Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching.

Yimin Zhang, Taoran Liu, Zonglin He, Sze Ngai Chan, Babatunde Akinwunmi, Jian Huang, Tak-Hap Wong, Casper J P Zhang, Wai-Kit Ming

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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  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

9 authors at 7 institutions in 4 countries.

Yimin Zhang *School of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0002-0202-6859
Taoran Liu *Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-7806-1263
Zonglin He *Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong.ORCID 0000-0001-7650-1459
Sze Ngai ChanDepartment of Obstetrics and Gynaecology, First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0001-6008-8620
Babatunde AkinwunmiDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-8316-1552
Jian HuangSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.ORCID 0000-0002-3931-5013
Tak-Hap WongDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong, China.ORCID 0000-0003-4635-785X
Casper J P Zhang *School of Public Health, University of Hong Kong, Hong Kong, China.ORCID 0000-0003-1047-0287
Wai-Kit Ming *Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-8846-7515
City University of Hong Kong · HKAgency for Science, Technology and Research · SGBrigham and Women's Hospital · USFirst Affiliated Hospital of Jinan University · CNHong Kong University of Science and Technology · HKJinan University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina and the United States play critical leading roles in the global effort to contain the COVID-19 virus. Therefore, their population's preferences for initial diagnosis were compared to provide policy and clinical insights.

objectiveWe aim to quantify and compare the public's preferences for medical management of fever and the attributes of initial diagnosis in the case of presenting symptoms during the COVID-19 pandemic in China and the United States.

methodsWe conducted a cross-sectional study from January to March 2021 in China and the United States using an online discrete choice experiment (DCE) questionnaire distributed through Amazon Mechanical Turk (MTurk; in the United States) and recruited volunteers (in China). Propensity score matching (PSM) was used to match the 2 groups of respondents from China and the United States to minimize confounding effects. In addition, the respondents' preferences for different diagnosis options were evaluated using a mixed logit model (MXL) and latent class models (LCMs). Moreover, demographic data were collected and compared using the chi-square test, Fisher test, and Mann-Whitney U test.

resultsA total of 9112 respondents (5411, 59.4%, from China and 3701, 40.6%, from the United States) who completed our survey were included in our analysis. After PSM, 1240 (22.9%) respondents from China and 1240 (33.5%) from the United States were matched for sex, age, educational level, occupation, and annual salary levels. The segmented sizes of 3 classes of respondents from China were 870 (70.2%), 270 (21.8%), and 100 (8.0%), respectively. Meanwhile, the US respondents' segmented sizes were 269 (21.7%), 139 (11.2%), and 832 (67.1%), respectively. Respondents from China attached the greatest importance to the type of medical institution (weighted importance=40.0%), while those from the United States valued the waiting time (weighted importance=31.5%) the most. Respondents from China preferred the emergency department (coefficient=0.973, reference level: online consultation) and fever clinic (a special clinic for the treatment of fever patients for the prevention and control of acute infectious diseases in China; coefficient=0.974, reference level: online consultation), while those from the United States preferred private clinics (general practices; coefficient=0.543, reference level: online consultation). Additionally, shorter waiting times, COVID-19 nucleic acid testing arrangements, higher reimbursement rates, and lower costs were always preferred.

conclusionsImprovements in the availability of COVID-19 testing and medical professional skills and increased designated health care facilities may help boost potential health care seeking during COVID-19 and prevent unrecognized community spreading of SARS-CoV-2 in China and the United States. Moreover, to better prevent future waves of pandemics, identify undiagnosed patients, and encourage those undiagnosed to seek health care services to curb the pandemic, the hierarchical diagnosis and treatment system needs improvement in China, and the United States should focus on reducing diagnosis costs and raising the reimbursement rate of medical insurance.

Indexed as

COVID-19PandemicsChinaCOVID-19 TestingCross-Sectional StudiesHumansPropensity ScoreSARS-CoV-2United StatesCOVID-19discrete choice experimentpatient preferencepatients with feverpropensity score matchingpublic health

Identifiers

PMID35759683
PMCPMC9384860
OpenAlexW4283583088

What OpenQuestion holds

Textmetadata
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.