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Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective
The article deals with one of the effects of health inequalities and gaps in access to treatments for rare diseases, namely health-driven emigration. The purpose of the paper is to systematize knowledge about the phenomenon of health emigration observed among families affected by rare diseases, for...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915846/ https://www.ncbi.nlm.nih.gov/pubmed/36767849 http://dx.doi.org/10.3390/ijerph20032483 |
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author | Skweres-Kuchta, Małgorzata Czerska, Iwona Szaruga, Elżbieta |
author_facet | Skweres-Kuchta, Małgorzata Czerska, Iwona Szaruga, Elżbieta |
author_sort | Skweres-Kuchta, Małgorzata |
collection | PubMed |
description | The article deals with one of the effects of health inequalities and gaps in access to treatments for rare diseases, namely health-driven emigration. The purpose of the paper is to systematize knowledge about the phenomenon of health emigration observed among families affected by rare diseases, for which reimbursed treatment is available, but only in selected countries. The topic proved to be niche; the issue of “health emigration in rare diseases” is an area for exploration. Therefore, the further analysis used text mining and machine learning methods based on a database selected based on keywords related to this issue. The results made it possible to systematize the guesses made by researchers in management and economic fields, to identify the most common keywords and thematic clusters around the perspective of the patient, drug manufacturer and treatment reimbursement decision-maker, and the perspective integrating all the others. Since the topic of health emigration was not directly addressed in the selected sources, the authors attempted to define the related concepts and discussed the importance of this phenomenon in managing the support system in rare diseases. Thus, they indicated directions for further research in this area. |
format | Online Article Text |
id | pubmed-9915846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99158462023-02-11 Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective Skweres-Kuchta, Małgorzata Czerska, Iwona Szaruga, Elżbieta Int J Environ Res Public Health Article The article deals with one of the effects of health inequalities and gaps in access to treatments for rare diseases, namely health-driven emigration. The purpose of the paper is to systematize knowledge about the phenomenon of health emigration observed among families affected by rare diseases, for which reimbursed treatment is available, but only in selected countries. The topic proved to be niche; the issue of “health emigration in rare diseases” is an area for exploration. Therefore, the further analysis used text mining and machine learning methods based on a database selected based on keywords related to this issue. The results made it possible to systematize the guesses made by researchers in management and economic fields, to identify the most common keywords and thematic clusters around the perspective of the patient, drug manufacturer and treatment reimbursement decision-maker, and the perspective integrating all the others. Since the topic of health emigration was not directly addressed in the selected sources, the authors attempted to define the related concepts and discussed the importance of this phenomenon in managing the support system in rare diseases. Thus, they indicated directions for further research in this area. MDPI 2023-01-30 /pmc/articles/PMC9915846/ /pubmed/36767849 http://dx.doi.org/10.3390/ijerph20032483 Text en © 2023 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 Skweres-Kuchta, Małgorzata Czerska, Iwona Szaruga, Elżbieta Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective |
title | Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective |
title_full | Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective |
title_fullStr | Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective |
title_full_unstemmed | Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective |
title_short | Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective |
title_sort | literature review on health emigration in rare diseases—a machine learning perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915846/ https://www.ncbi.nlm.nih.gov/pubmed/36767849 http://dx.doi.org/10.3390/ijerph20032483 |
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