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Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study
Background : The most common drug, illegally used in Iran is opium. The treatment of people with substance use disorder is one of the most important strategies in reducing its burden. The aim of this study was to investigate the effect of different increasing and decreasing opium treatment coverage...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233677/ https://www.ncbi.nlm.nih.gov/pubmed/34195048 http://dx.doi.org/10.34172/hpp.2021.29 |
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author | Rafiemanesh, Hosein Rahimi-Movaghar, Afarin Haghdoost, Ali Akbar Noroozi, Alireza Gholami, Jaleh Vahdani, Bita Afshar, Amin Salehi, Mohammad Etemad, Koorosh |
author_facet | Rafiemanesh, Hosein Rahimi-Movaghar, Afarin Haghdoost, Ali Akbar Noroozi, Alireza Gholami, Jaleh Vahdani, Bita Afshar, Amin Salehi, Mohammad Etemad, Koorosh |
author_sort | Rafiemanesh, Hosein |
collection | PubMed |
description | Background : The most common drug, illegally used in Iran is opium. The treatment of people with substance use disorder is one of the most important strategies in reducing its burden. The aim of this study was to investigate the effect of different increasing and decreasing opium treatment coverage on the patterns of abstinence, transition to heroin dependence and mortality, over 30 years. Methods: This study was a dynamic compartmental modeling conducted in three stages: 1) presenting a conceptual model of opium dependence treatment in Iran, 2) estimating model’s parameters value, and 3) modeling of opium dependence treatment and examining the outcomes for different treatment coverage scenarios. The input parameters of the model were extracted from the literature, and secondary data analysis, which were finalized in expert panels. Results: The number of opium dependence will increase from 1180550 to 1522063 [28.93% (95% CI: 28.6 to 29.2)] over 30 years. With a 25% decrease in coverage compared to the status quo, the number of deaths will increase by 459 cases [3.28% (95% CI: 0.91 to 5.7)] in the first year, and this trend will continue to be 2989 cases [15.63% (95% CI: 13.4 to 17.9)] in the 30th year. A 25% increase in treatment coverage causes a cumulative decrease of heroin dependence by 14451 cases [10.1% (95% CI: 9.5 to 10.8)] in the first decade. Conclusion: The modeling showed that the treatment coverage level reduction has a greater impact than the coverage level increase in the country and any amount of reduction in the coverage level, even to a small extent, may have a large negative impact in the long run. |
format | Online Article Text |
id | pubmed-8233677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Tabriz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-82336772021-06-29 Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study Rafiemanesh, Hosein Rahimi-Movaghar, Afarin Haghdoost, Ali Akbar Noroozi, Alireza Gholami, Jaleh Vahdani, Bita Afshar, Amin Salehi, Mohammad Etemad, Koorosh Health Promot Perspect Original Article Background : The most common drug, illegally used in Iran is opium. The treatment of people with substance use disorder is one of the most important strategies in reducing its burden. The aim of this study was to investigate the effect of different increasing and decreasing opium treatment coverage on the patterns of abstinence, transition to heroin dependence and mortality, over 30 years. Methods: This study was a dynamic compartmental modeling conducted in three stages: 1) presenting a conceptual model of opium dependence treatment in Iran, 2) estimating model’s parameters value, and 3) modeling of opium dependence treatment and examining the outcomes for different treatment coverage scenarios. The input parameters of the model were extracted from the literature, and secondary data analysis, which were finalized in expert panels. Results: The number of opium dependence will increase from 1180550 to 1522063 [28.93% (95% CI: 28.6 to 29.2)] over 30 years. With a 25% decrease in coverage compared to the status quo, the number of deaths will increase by 459 cases [3.28% (95% CI: 0.91 to 5.7)] in the first year, and this trend will continue to be 2989 cases [15.63% (95% CI: 13.4 to 17.9)] in the 30th year. A 25% increase in treatment coverage causes a cumulative decrease of heroin dependence by 14451 cases [10.1% (95% CI: 9.5 to 10.8)] in the first decade. Conclusion: The modeling showed that the treatment coverage level reduction has a greater impact than the coverage level increase in the country and any amount of reduction in the coverage level, even to a small extent, may have a large negative impact in the long run. Tabriz University of Medical Sciences 2021-05-19 /pmc/articles/PMC8233677/ /pubmed/34195048 http://dx.doi.org/10.34172/hpp.2021.29 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Rafiemanesh, Hosein Rahimi-Movaghar, Afarin Haghdoost, Ali Akbar Noroozi, Alireza Gholami, Jaleh Vahdani, Bita Afshar, Amin Salehi, Mohammad Etemad, Koorosh Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study |
title | Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study |
title_full | Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study |
title_fullStr | Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study |
title_full_unstemmed | Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study |
title_short | Opium dependence and the potential impact of changes in treatment coverage level: A dynamic modeling study |
title_sort | opium dependence and the potential impact of changes in treatment coverage level: a dynamic modeling study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233677/ https://www.ncbi.nlm.nih.gov/pubmed/34195048 http://dx.doi.org/10.34172/hpp.2021.29 |
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