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Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids
Unsteady increase in using pharmaceutical opioids is a phenomenon that has existed in human societies for a long time. Furthermore, the ever-growing trend of addiction to opioids affects communities in various economic, social, and cultural aspects. Since abusing pharmaceutical opioids is a complex...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059054/ https://www.ncbi.nlm.nih.gov/pubmed/32184886 http://dx.doi.org/10.22037/ijpr.2019.1100886 |
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author | Zeinali, Farahnaz Rajabzadeh Ghatari, Ali Mohammadzadeh, Mehdi Mojibian, Fatemeh |
author_facet | Zeinali, Farahnaz Rajabzadeh Ghatari, Ali Mohammadzadeh, Mehdi Mojibian, Fatemeh |
author_sort | Zeinali, Farahnaz |
collection | PubMed |
description | Unsteady increase in using pharmaceutical opioids is a phenomenon that has existed in human societies for a long time. Furthermore, the ever-growing trend of addiction to opioids affects communities in various economic, social, and cultural aspects. Since abusing pharmaceutical opioids is a complex dynamic problem, it is extremely difficult to recognize the factors influencing this abuse. Thus, applying such dynamic models as system dynamics (SD) plays an important role in addressing these complex dynamic problems. System dynamics model falls in two categories of qualitative and quantitative system dynamics. In this paper, causal loop diagrams (CLDs), which are conceptual qualitative stages were applied, and variables were elicited from literatures; then, the initial CLDs were generated, and afterward, some experts were interviewed in order for the CLDs model to be evaluated. Ultimately, a meeting was held for discussing the variables and validating the diagrams. In this study, variables are connected by causal relationships called reinforcing and balancing. Then, the CLD model clearly depicted how the variables interact with one another indifferent stages of the process. The CLDs model is a fundamental issue in developing quantitative system dynamic, assisting policymakers in forecasting the process of non-medical use of pharmaceutical opioids and finding some measures to reduce their usage. |
format | Online Article Text |
id | pubmed-7059054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Shaheed Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-70590542020-03-17 Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids Zeinali, Farahnaz Rajabzadeh Ghatari, Ali Mohammadzadeh, Mehdi Mojibian, Fatemeh Iran J Pharm Res Original Article Unsteady increase in using pharmaceutical opioids is a phenomenon that has existed in human societies for a long time. Furthermore, the ever-growing trend of addiction to opioids affects communities in various economic, social, and cultural aspects. Since abusing pharmaceutical opioids is a complex dynamic problem, it is extremely difficult to recognize the factors influencing this abuse. Thus, applying such dynamic models as system dynamics (SD) plays an important role in addressing these complex dynamic problems. System dynamics model falls in two categories of qualitative and quantitative system dynamics. In this paper, causal loop diagrams (CLDs), which are conceptual qualitative stages were applied, and variables were elicited from literatures; then, the initial CLDs were generated, and afterward, some experts were interviewed in order for the CLDs model to be evaluated. Ultimately, a meeting was held for discussing the variables and validating the diagrams. In this study, variables are connected by causal relationships called reinforcing and balancing. Then, the CLD model clearly depicted how the variables interact with one another indifferent stages of the process. The CLDs model is a fundamental issue in developing quantitative system dynamic, assisting policymakers in forecasting the process of non-medical use of pharmaceutical opioids and finding some measures to reduce their usage. Shaheed Beheshti University of Medical Sciences 2019 /pmc/articles/PMC7059054/ /pubmed/32184886 http://dx.doi.org/10.22037/ijpr.2019.1100886 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Zeinali, Farahnaz Rajabzadeh Ghatari, Ali Mohammadzadeh, Mehdi Mojibian, Fatemeh Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids |
title | Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids |
title_full | Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids |
title_fullStr | Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids |
title_full_unstemmed | Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids |
title_short | Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids |
title_sort | dynamic thinking approach of non-medical use of pharmaceutical opioids |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059054/ https://www.ncbi.nlm.nih.gov/pubmed/32184886 http://dx.doi.org/10.22037/ijpr.2019.1100886 |
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