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Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition
BACKGROUND: Inequality in health is a prevalent and growing concern among countries where people with disabilities are disproportionately affected. Unmet healthcare needs explain a large part of the observed inequalities between and within countries; however, there are other causes, many non-modifia...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060928/ https://www.ncbi.nlm.nih.gov/pubmed/36998015 http://dx.doi.org/10.1186/s12939-023-01848-z |
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author | Oña, Ana Athanasios, Kyriakides Tederko, Piotr Escorpizo, Reuben Arora, Mohit Sturm, Christian Yang, Shujuan Barzallo, Diana Pacheco |
author_facet | Oña, Ana Athanasios, Kyriakides Tederko, Piotr Escorpizo, Reuben Arora, Mohit Sturm, Christian Yang, Shujuan Barzallo, Diana Pacheco |
author_sort | Oña, Ana |
collection | PubMed |
description | BACKGROUND: Inequality in health is a prevalent and growing concern among countries where people with disabilities are disproportionately affected. Unmet healthcare needs explain a large part of the observed inequalities between and within countries; however, there are other causes, many non-modifiable, that also play a role. AIM: This article explores the difference in health across income levels in populations with spinal cord injury (SCI). SCI is of special interest in the study of health systems, as it is an irreversible, long-term health condition that combines a high level of impairment with subsequent comorbidities. METHODS: We estimated the importance of modifiable and non-modifiable factors that explain health inequalities through a direct regression approach. We used two health outcomes: years living with the injury and a comorbidity index. Data come from the International Spinal Cord Injury Survey (InSCI), which has individual data on people with SCI in 22 countries around the world. Due to the heterogeneity of the data, the results were estimated country by country. RESULTS: On average, the results exhibit a prevalence of pro-rich inequalities, i.e., better health outcomes are more likely observed among high-income groups. For the years living with the injury, the inequality is mostly explained by non-modifiable factors, like the age at the time of the injury. In contrast, for the comorbidity index, inequality is mostly explained by unmet healthcare needs and the cause of the injury, which are modifiable factors. CONCLUSIONS: A significant portion of health inequalities is explained by modifiable factors like unmet healthcare needs or the type of accident. This result is prevalent in low, middle, and high-income countries, with pervasive effects for vulnerable populations like people with SCI, who, at the same time are highly dependent on the health system. To reduce inequity, it is important not only to address problems from public health but from inequalities of opportunities, risks, and income in the population. HIGHLIGHTS: • Better health status is evident among high-income groups, which is reflected in pro-rich inequalities. • Age at the time of the injury is the most important factor to explain inequalities in years living with the injury. • Unmet health care needs are the most important factor to explain inequalities in comorbidities. • The inequality in health varies by country dependent upon socioeconomic factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-01848-z. |
format | Online Article Text |
id | pubmed-10060928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100609282023-03-30 Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition Oña, Ana Athanasios, Kyriakides Tederko, Piotr Escorpizo, Reuben Arora, Mohit Sturm, Christian Yang, Shujuan Barzallo, Diana Pacheco Int J Equity Health Research BACKGROUND: Inequality in health is a prevalent and growing concern among countries where people with disabilities are disproportionately affected. Unmet healthcare needs explain a large part of the observed inequalities between and within countries; however, there are other causes, many non-modifiable, that also play a role. AIM: This article explores the difference in health across income levels in populations with spinal cord injury (SCI). SCI is of special interest in the study of health systems, as it is an irreversible, long-term health condition that combines a high level of impairment with subsequent comorbidities. METHODS: We estimated the importance of modifiable and non-modifiable factors that explain health inequalities through a direct regression approach. We used two health outcomes: years living with the injury and a comorbidity index. Data come from the International Spinal Cord Injury Survey (InSCI), which has individual data on people with SCI in 22 countries around the world. Due to the heterogeneity of the data, the results were estimated country by country. RESULTS: On average, the results exhibit a prevalence of pro-rich inequalities, i.e., better health outcomes are more likely observed among high-income groups. For the years living with the injury, the inequality is mostly explained by non-modifiable factors, like the age at the time of the injury. In contrast, for the comorbidity index, inequality is mostly explained by unmet healthcare needs and the cause of the injury, which are modifiable factors. CONCLUSIONS: A significant portion of health inequalities is explained by modifiable factors like unmet healthcare needs or the type of accident. This result is prevalent in low, middle, and high-income countries, with pervasive effects for vulnerable populations like people with SCI, who, at the same time are highly dependent on the health system. To reduce inequity, it is important not only to address problems from public health but from inequalities of opportunities, risks, and income in the population. HIGHLIGHTS: • Better health status is evident among high-income groups, which is reflected in pro-rich inequalities. • Age at the time of the injury is the most important factor to explain inequalities in years living with the injury. • Unmet health care needs are the most important factor to explain inequalities in comorbidities. • The inequality in health varies by country dependent upon socioeconomic factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-01848-z. BioMed Central 2023-03-30 /pmc/articles/PMC10060928/ /pubmed/36998015 http://dx.doi.org/10.1186/s12939-023-01848-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (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 Oña, Ana Athanasios, Kyriakides Tederko, Piotr Escorpizo, Reuben Arora, Mohit Sturm, Christian Yang, Shujuan Barzallo, Diana Pacheco Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
title | Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
title_full | Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
title_fullStr | Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
title_full_unstemmed | Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
title_short | Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
title_sort | unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060928/ https://www.ncbi.nlm.nih.gov/pubmed/36998015 http://dx.doi.org/10.1186/s12939-023-01848-z |
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