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The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey
BACKGROUND: This study addresses an important field within HIV research, the impact of socioeconomic factors on the healthcare costs of people living with HIV/AIDS (PLHIV). We aimed to understand how different socioeconomic factors could create diverse healthcare costs for PLHIV in Turkey. METHODS:...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082973/ https://www.ncbi.nlm.nih.gov/pubmed/32197598 http://dx.doi.org/10.1186/s12889-020-08469-z |
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author | Özdemir, Hülya Özkan Tosun, Selma Kabadurmuş, Fatma Nur Karaman Özdemir, Durmuş |
author_facet | Özdemir, Hülya Özkan Tosun, Selma Kabadurmuş, Fatma Nur Karaman Özdemir, Durmuş |
author_sort | Özdemir, Hülya Özkan |
collection | PubMed |
description | BACKGROUND: This study addresses an important field within HIV research, the impact of socioeconomic factors on the healthcare costs of people living with HIV/AIDS (PLHIV). We aimed to understand how different socioeconomic factors could create diverse healthcare costs for PLHIV in Turkey. METHODS: Data were collected between January 2017 and December 2017. HIV-positive people attending the clinic who had been referred to the national ART programme from January 1992 until December 2017 were surveyed. The questionnaire collected socioeconomic data. The cost data for the same patients was taken from the electronic database Probel Hospital Information Management System (PHIMS) for the same period. The PHIMS data include costs for medication (highly active antiretroviral therapy or HAART), laboratory, pathology, radiology, polyclinic, examination and consultation, hospitalisation, surgery and intervention, blood and blood products, supplies and other costs. Data were analysed using STATA 14.2 to estimate the generalised linear model (GLM). RESULTS: The findings of our GLM indicate that age, gender, marital and parental status, time since diagnosis, employment, wealth status, illicit drug use and CD4 cell count are the factors significantly related to the healthcare cost of patients. We found that compared with people who have AIDS (CD4 cells < 200 cells/mm(3)), people who have a normal range of CD4 cells (≥ 500 cells/mm(3)) have $1046 less in expenditures on average. Compared to younger people (19–39 years), older people (≥ 55) have $1934 higher expenditures on average. Costs are $644 higher on average for married people and $401 higher on average for people who have children. Healthcare costs are $518 and $651 higher on average for patients who are addicted to drugs and who use psychiatric drug(s), respectively. Compared to people who were recently diagnosed with HIV, people who were diagnosed ≥10 years ago have $743 lower expenditures on average. CONCLUSION: Our results suggest that in addition to immunological status, socioeconomic factors play a substantial role in the healthcare costs of PLHIV. The key factors influencing the healthcare costs of PLHIV are also critical for public policy makers, healthcare workers, health ministries and employment community programs. |
format | Online Article Text |
id | pubmed-7082973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70829732020-03-23 The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey Özdemir, Hülya Özkan Tosun, Selma Kabadurmuş, Fatma Nur Karaman Özdemir, Durmuş BMC Public Health Research Article BACKGROUND: This study addresses an important field within HIV research, the impact of socioeconomic factors on the healthcare costs of people living with HIV/AIDS (PLHIV). We aimed to understand how different socioeconomic factors could create diverse healthcare costs for PLHIV in Turkey. METHODS: Data were collected between January 2017 and December 2017. HIV-positive people attending the clinic who had been referred to the national ART programme from January 1992 until December 2017 were surveyed. The questionnaire collected socioeconomic data. The cost data for the same patients was taken from the electronic database Probel Hospital Information Management System (PHIMS) for the same period. The PHIMS data include costs for medication (highly active antiretroviral therapy or HAART), laboratory, pathology, radiology, polyclinic, examination and consultation, hospitalisation, surgery and intervention, blood and blood products, supplies and other costs. Data were analysed using STATA 14.2 to estimate the generalised linear model (GLM). RESULTS: The findings of our GLM indicate that age, gender, marital and parental status, time since diagnosis, employment, wealth status, illicit drug use and CD4 cell count are the factors significantly related to the healthcare cost of patients. We found that compared with people who have AIDS (CD4 cells < 200 cells/mm(3)), people who have a normal range of CD4 cells (≥ 500 cells/mm(3)) have $1046 less in expenditures on average. Compared to younger people (19–39 years), older people (≥ 55) have $1934 higher expenditures on average. Costs are $644 higher on average for married people and $401 higher on average for people who have children. Healthcare costs are $518 and $651 higher on average for patients who are addicted to drugs and who use psychiatric drug(s), respectively. Compared to people who were recently diagnosed with HIV, people who were diagnosed ≥10 years ago have $743 lower expenditures on average. CONCLUSION: Our results suggest that in addition to immunological status, socioeconomic factors play a substantial role in the healthcare costs of PLHIV. The key factors influencing the healthcare costs of PLHIV are also critical for public policy makers, healthcare workers, health ministries and employment community programs. BioMed Central 2020-03-20 /pmc/articles/PMC7082973/ /pubmed/32197598 http://dx.doi.org/10.1186/s12889-020-08469-z 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 Özdemir, Hülya Özkan Tosun, Selma Kabadurmuş, Fatma Nur Karaman Özdemir, Durmuş The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey |
title | The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey |
title_full | The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey |
title_fullStr | The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey |
title_full_unstemmed | The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey |
title_short | The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey |
title_sort | impact of socioeconomic factors on the healthcare costs of people living with hiv in turkey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082973/ https://www.ncbi.nlm.nih.gov/pubmed/32197598 http://dx.doi.org/10.1186/s12889-020-08469-z |
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