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Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China
BACKGROUND: By evaluating equity and effectiveness, this study provides evidence-based knowledge for scientific decision-making and the optimization of magnetic resonance imaging (MRI) configuration and utilization at the provincial level. METHODS: Using data from 2017, we applied a Gini coefficient...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204287/ https://www.ncbi.nlm.nih.gov/pubmed/37221536 http://dx.doi.org/10.1186/s12962-023-00440-0 |
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author | Huang, Xiaoling Wei, Yan Sun, Hui Huang, Jiaqi Chen, Yingyao Cheng, Jingliang |
author_facet | Huang, Xiaoling Wei, Yan Sun, Hui Huang, Jiaqi Chen, Yingyao Cheng, Jingliang |
author_sort | Huang, Xiaoling |
collection | PubMed |
description | BACKGROUND: By evaluating equity and effectiveness, this study provides evidence-based knowledge for scientific decision-making and the optimization of magnetic resonance imaging (MRI) configuration and utilization at the provincial level. METHODS: Using data from 2017, we applied a Gini coefficient to analyze the equity of MRI services in 11 sample cities in Henan province. An agglomeration degree was then applied to measure equity from the perspective of population and geography, and a data envelopment analysis was used to evaluate MRI efficiency. RESULTS: The overall Gini coefficient of MRI allocation by population in the 11 sample cities is 0.117; however, equity varies considerably among the sample cities. The sample’s comprehensive efficiency is only 0.732, indicating the overall ineffectiveness of provincial MRI utilization. The pure technical and scale efficiencies of four sample cities are below 1, indicating lower MRI effectiveness than the rest. CONCLUSIONS: Although the overall equity of configuration at the provincial level is relatively good, equity varies at the municipal level. Our results demonstrate a low MRI utilization efficiency; accordingly, policymakers should dynamically adjust the policy based on equity and efficiency. |
format | Online Article Text |
id | pubmed-10204287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102042872023-05-24 Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China Huang, Xiaoling Wei, Yan Sun, Hui Huang, Jiaqi Chen, Yingyao Cheng, Jingliang Cost Eff Resour Alloc Research BACKGROUND: By evaluating equity and effectiveness, this study provides evidence-based knowledge for scientific decision-making and the optimization of magnetic resonance imaging (MRI) configuration and utilization at the provincial level. METHODS: Using data from 2017, we applied a Gini coefficient to analyze the equity of MRI services in 11 sample cities in Henan province. An agglomeration degree was then applied to measure equity from the perspective of population and geography, and a data envelopment analysis was used to evaluate MRI efficiency. RESULTS: The overall Gini coefficient of MRI allocation by population in the 11 sample cities is 0.117; however, equity varies considerably among the sample cities. The sample’s comprehensive efficiency is only 0.732, indicating the overall ineffectiveness of provincial MRI utilization. The pure technical and scale efficiencies of four sample cities are below 1, indicating lower MRI effectiveness than the rest. CONCLUSIONS: Although the overall equity of configuration at the provincial level is relatively good, equity varies at the municipal level. Our results demonstrate a low MRI utilization efficiency; accordingly, policymakers should dynamically adjust the policy based on equity and efficiency. BioMed Central 2023-05-23 /pmc/articles/PMC10204287/ /pubmed/37221536 http://dx.doi.org/10.1186/s12962-023-00440-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Xiaoling Wei, Yan Sun, Hui Huang, Jiaqi Chen, Yingyao Cheng, Jingliang Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China |
title | Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China |
title_full | Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China |
title_fullStr | Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China |
title_full_unstemmed | Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China |
title_short | Assessment of equity and efficiency of magnetic resonance imaging services in Henan Province, China |
title_sort | assessment of equity and efficiency of magnetic resonance imaging services in henan province, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204287/ https://www.ncbi.nlm.nih.gov/pubmed/37221536 http://dx.doi.org/10.1186/s12962-023-00440-0 |
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