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The Unmet Medical Demand among China’s Urban Residents
Our work aimed to build a reasonable proxy for unmet medical demands of China’s urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583618/ https://www.ncbi.nlm.nih.gov/pubmed/34770221 http://dx.doi.org/10.3390/ijerph182111708 |
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author | Sheng, Pengfei Yang, Tingting Zhang, Tengfei |
author_facet | Sheng, Pengfei Yang, Tingting Zhang, Tengfei |
author_sort | Sheng, Pengfei |
collection | PubMed |
description | Our work aimed to build a reasonable proxy for unmet medical demands of China’s urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We estimated unmet medical demands by using China’s provincial dataset that covered 2005–2018. Our estimates showed that unmet medical demand at the national level was 12.6% in 2018, and regions with high medical prices confronted more unmet medical demands than regions with moderate or low medical prices during 2005–2018. Furthermore, medical prices and education were the main factors that affected unmet medical demand; therefore, policy making should pay more attention to reducing medical costs and promoting health education. |
format | Online Article Text |
id | pubmed-8583618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85836182021-11-12 The Unmet Medical Demand among China’s Urban Residents Sheng, Pengfei Yang, Tingting Zhang, Tengfei Int J Environ Res Public Health Article Our work aimed to build a reasonable proxy for unmet medical demands of China’s urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We estimated unmet medical demands by using China’s provincial dataset that covered 2005–2018. Our estimates showed that unmet medical demand at the national level was 12.6% in 2018, and regions with high medical prices confronted more unmet medical demands than regions with moderate or low medical prices during 2005–2018. Furthermore, medical prices and education were the main factors that affected unmet medical demand; therefore, policy making should pay more attention to reducing medical costs and promoting health education. MDPI 2021-11-08 /pmc/articles/PMC8583618/ /pubmed/34770221 http://dx.doi.org/10.3390/ijerph182111708 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sheng, Pengfei Yang, Tingting Zhang, Tengfei The Unmet Medical Demand among China’s Urban Residents |
title | The Unmet Medical Demand among China’s Urban Residents |
title_full | The Unmet Medical Demand among China’s Urban Residents |
title_fullStr | The Unmet Medical Demand among China’s Urban Residents |
title_full_unstemmed | The Unmet Medical Demand among China’s Urban Residents |
title_short | The Unmet Medical Demand among China’s Urban Residents |
title_sort | unmet medical demand among china’s urban residents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583618/ https://www.ncbi.nlm.nih.gov/pubmed/34770221 http://dx.doi.org/10.3390/ijerph182111708 |
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