Cargando…
Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching
BACKGROUND: China 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. OBJECTIVE: We aim to quantify and compare the public’s prefer...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384860/ https://www.ncbi.nlm.nih.gov/pubmed/35759683 http://dx.doi.org/10.2196/37422 |
_version_ | 1784769478836355072 |
---|---|
author | Zhang, Yimin Liu, Taoran He, Zonglin Chan, Sze Ngai Akinwunmi, Babatunde Huang, Jian Wong, Tak-Hap Zhang, Casper J P Ming, Wai-Kit |
author_facet | Zhang, Yimin Liu, Taoran He, Zonglin Chan, Sze Ngai Akinwunmi, Babatunde Huang, Jian Wong, Tak-Hap Zhang, Casper J P Ming, Wai-Kit |
author_sort | Zhang, Yimin |
collection | PubMed |
description | BACKGROUND: China 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. OBJECTIVE: We 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. METHODS: We 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. RESULTS: A 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. CONCLUSIONS: Improvements 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. |
format | Online Article Text |
id | pubmed-9384860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93848602022-08-18 Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching Zhang, Yimin Liu, Taoran He, Zonglin Chan, Sze Ngai Akinwunmi, Babatunde Huang, Jian Wong, Tak-Hap Zhang, Casper J P Ming, Wai-Kit JMIR Public Health Surveill Original Paper BACKGROUND: China 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. OBJECTIVE: We 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. METHODS: We 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. RESULTS: A 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. CONCLUSIONS: Improvements 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. JMIR Publications 2022-08-16 /pmc/articles/PMC9384860/ /pubmed/35759683 http://dx.doi.org/10.2196/37422 Text en ©Yimin Zhang, Taoran Liu, Zonglin He, Sze Ngai Chan, Babatunde Akinwunmi, Jian Huang, Tak-Hap Wong, Casper J P Zhang, Wai-Kit Ming. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 16.08.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Zhang, Yimin Liu, Taoran He, Zonglin Chan, Sze Ngai Akinwunmi, Babatunde Huang, Jian Wong, Tak-Hap Zhang, Casper J P Ming, Wai-Kit Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching |
title | Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching |
title_full | Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching |
title_fullStr | Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching |
title_full_unstemmed | Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching |
title_short | Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching |
title_sort | preferences for attributes of initial covid-19 diagnosis in the united states and china during the pandemic: discrete choice experiment with propensity score matching |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384860/ https://www.ncbi.nlm.nih.gov/pubmed/35759683 http://dx.doi.org/10.2196/37422 |
work_keys_str_mv | AT zhangyimin preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT liutaoran preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT hezonglin preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT chanszengai preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT akinwunmibabatunde preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT huangjian preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT wongtakhap preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT zhangcasperjp preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching AT mingwaikit preferencesforattributesofinitialcovid19diagnosisintheunitedstatesandchinaduringthepandemicdiscretechoiceexperimentwithpropensityscorematching |