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Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar
BACKGROUND: Diagnosis by computed tomography (CT) and magnetic resonance imaging (MRI) is important for patient care. However, the geographic distribution and utilisation of these machines in countries with limited resources, such as Myanmar, have not been sufficiently studied. Therefore, this study...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424658/ https://www.ncbi.nlm.nih.gov/pubmed/32787832 http://dx.doi.org/10.1186/s12913-020-05610-x |
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author | Khaing, Moe Saw, Yu Mon Than, Thet Mon Mon, Aye Myat Cho, Su Myat Saw, Thu Nandar Kariya, Tetsuyoshi Yamamoto, Eiko Hamajima, Nobuyuki |
author_facet | Khaing, Moe Saw, Yu Mon Than, Thet Mon Mon, Aye Myat Cho, Su Myat Saw, Thu Nandar Kariya, Tetsuyoshi Yamamoto, Eiko Hamajima, Nobuyuki |
author_sort | Khaing, Moe |
collection | PubMed |
description | BACKGROUND: Diagnosis by computed tomography (CT) and magnetic resonance imaging (MRI) is important for patient care. However, the geographic distribution and utilisation of these machines in countries with limited resources, such as Myanmar, have not been sufficiently studied. Therefore, this study aims to identify the geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar. METHODS: This nationwide, cross-sectional study was conducted at 43 public hospitals in Myanmar. Data were collected retrospectively using a prepared form from 1st January 2015 to 31st December 2017 at public hospitals in Myanmar. A descriptive analysis was performed to calculate the number of CT and MRI units per million population in each state and region of Myanmar. The distribution of CT and MRI units was assessed using the Lorenz curve and Gini coefficient, which are indicators of inequality in distribution. RESULTS: In total, 45 CT and 14 MRI units had been installed in public hospitals in Myanmar by 2017. In total, 205,570 CT examinations and 18,981 MRI examinations have been performed within the study period. CT units per million population in 2017 varied from 0.30 in Rakhine State to 3.22 in Kayah State. However, MRI units were available only in public hospitals in five states/regions. The Gini coefficient for CT and MRI was 0.35 and 0.69, respectively. An upward trend in the utilisation rate of CT and MRI was also observed during the study period, especially among patients aged between 36 and 65 years. CONCLUSIONS: Throughout Myanmar, CT units were more equally distributed than MRI units. CT and MRI units were mostly concentrated in the Yangon and Mandalay Regions, where the population density is higher. The geographic distribution and utilisation rate of CT and MRI units varied among states, regions, and patients’ age group. However, the utilisation rates of CT and MRI increased annually in all states and regions during the review period. The Ministry of Health and Sports in Myanmar should consider the utilisation and population coverage of CT and MRI as an important factor when there will be procurement of those medical equipment in the future. |
format | Online Article Text |
id | pubmed-7424658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74246582020-08-16 Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar Khaing, Moe Saw, Yu Mon Than, Thet Mon Mon, Aye Myat Cho, Su Myat Saw, Thu Nandar Kariya, Tetsuyoshi Yamamoto, Eiko Hamajima, Nobuyuki BMC Health Serv Res Research Article BACKGROUND: Diagnosis by computed tomography (CT) and magnetic resonance imaging (MRI) is important for patient care. However, the geographic distribution and utilisation of these machines in countries with limited resources, such as Myanmar, have not been sufficiently studied. Therefore, this study aims to identify the geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar. METHODS: This nationwide, cross-sectional study was conducted at 43 public hospitals in Myanmar. Data were collected retrospectively using a prepared form from 1st January 2015 to 31st December 2017 at public hospitals in Myanmar. A descriptive analysis was performed to calculate the number of CT and MRI units per million population in each state and region of Myanmar. The distribution of CT and MRI units was assessed using the Lorenz curve and Gini coefficient, which are indicators of inequality in distribution. RESULTS: In total, 45 CT and 14 MRI units had been installed in public hospitals in Myanmar by 2017. In total, 205,570 CT examinations and 18,981 MRI examinations have been performed within the study period. CT units per million population in 2017 varied from 0.30 in Rakhine State to 3.22 in Kayah State. However, MRI units were available only in public hospitals in five states/regions. The Gini coefficient for CT and MRI was 0.35 and 0.69, respectively. An upward trend in the utilisation rate of CT and MRI was also observed during the study period, especially among patients aged between 36 and 65 years. CONCLUSIONS: Throughout Myanmar, CT units were more equally distributed than MRI units. CT and MRI units were mostly concentrated in the Yangon and Mandalay Regions, where the population density is higher. The geographic distribution and utilisation rate of CT and MRI units varied among states, regions, and patients’ age group. However, the utilisation rates of CT and MRI increased annually in all states and regions during the review period. The Ministry of Health and Sports in Myanmar should consider the utilisation and population coverage of CT and MRI as an important factor when there will be procurement of those medical equipment in the future. BioMed Central 2020-08-12 /pmc/articles/PMC7424658/ /pubmed/32787832 http://dx.doi.org/10.1186/s12913-020-05610-x Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Khaing, Moe Saw, Yu Mon Than, Thet Mon Mon, Aye Myat Cho, Su Myat Saw, Thu Nandar Kariya, Tetsuyoshi Yamamoto, Eiko Hamajima, Nobuyuki Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar |
title | Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar |
title_full | Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar |
title_fullStr | Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar |
title_full_unstemmed | Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar |
title_short | Geographic distribution and utilisation of CT and MRI services at public hospitals in Myanmar |
title_sort | geographic distribution and utilisation of ct and mri services at public hospitals in myanmar |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424658/ https://www.ncbi.nlm.nih.gov/pubmed/32787832 http://dx.doi.org/10.1186/s12913-020-05610-x |
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