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Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior

COVID-19 caused an increase in the demand for medications, which led to an increase in pharmaceutical waste and there is no doubt that this contributes to environmental pollution. Hence, it became necessary to search for how to protect and improve the environment by encouraging the behavior of medic...

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Autores principales: Mouloudj, Kamel, Njoku, Anuli, Asanza, Dachel Martínez, Bouarar, Ahmed Chemseddine, Evans, Marian A., Mouloudj, Smail, Bouarar, Achouak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454758/
https://www.ncbi.nlm.nih.gov/pubmed/37623170
http://dx.doi.org/10.3390/ijerph20166584
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author Mouloudj, Kamel
Njoku, Anuli
Asanza, Dachel Martínez
Bouarar, Ahmed Chemseddine
Evans, Marian A.
Mouloudj, Smail
Bouarar, Achouak
author_facet Mouloudj, Kamel
Njoku, Anuli
Asanza, Dachel Martínez
Bouarar, Ahmed Chemseddine
Evans, Marian A.
Mouloudj, Smail
Bouarar, Achouak
author_sort Mouloudj, Kamel
collection PubMed
description COVID-19 caused an increase in the demand for medications, which led to an increase in pharmaceutical waste and there is no doubt that this contributes to environmental pollution. Hence, it became necessary to search for how to protect and improve the environment by encouraging the behavior of medication waste reduction. Accordingly, this study aims to investigate the factors affecting intentions to reduce medication waste. Considering this, we develop an extended theory of planned behavior (TPB) framework by incorporating the constructs of moral obligation, environmental awareness, and medication waste risk perception. Using the convenience sampling method and based on a self-administered questionnaire, a total of 225 usable responses were collected in five Algerian cities. The results showed that positive attitudes (β = 0.316, p < 0.001), moral obligation (β = 0.291, p < 0.001), environmental awareness (β = 0.227, p < 0.001), perceived behavior control (PBC) (β = 0.151, p = 0.001), greater perceived risks (β = 0.127, p < 0.001), and subjective norm (β = 0.096, p < 0.05) significantly and positively influence the medication waste minimization intention. Furthermore, our analyses revealed that the extended TPB model explained 73.40% of the intention variance. In conclusion, we have explored the intentions, and there may be a gap between intent and actual behavior. Therefore, we recommend future studies to examine the factors affecting the actual behavior of medication waste reduction and to investigate environmental ethics and religious commitment as predictors of waste reduction intentions.
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spelling pubmed-104547582023-08-26 Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior Mouloudj, Kamel Njoku, Anuli Asanza, Dachel Martínez Bouarar, Ahmed Chemseddine Evans, Marian A. Mouloudj, Smail Bouarar, Achouak Int J Environ Res Public Health Article COVID-19 caused an increase in the demand for medications, which led to an increase in pharmaceutical waste and there is no doubt that this contributes to environmental pollution. Hence, it became necessary to search for how to protect and improve the environment by encouraging the behavior of medication waste reduction. Accordingly, this study aims to investigate the factors affecting intentions to reduce medication waste. Considering this, we develop an extended theory of planned behavior (TPB) framework by incorporating the constructs of moral obligation, environmental awareness, and medication waste risk perception. Using the convenience sampling method and based on a self-administered questionnaire, a total of 225 usable responses were collected in five Algerian cities. The results showed that positive attitudes (β = 0.316, p < 0.001), moral obligation (β = 0.291, p < 0.001), environmental awareness (β = 0.227, p < 0.001), perceived behavior control (PBC) (β = 0.151, p = 0.001), greater perceived risks (β = 0.127, p < 0.001), and subjective norm (β = 0.096, p < 0.05) significantly and positively influence the medication waste minimization intention. Furthermore, our analyses revealed that the extended TPB model explained 73.40% of the intention variance. In conclusion, we have explored the intentions, and there may be a gap between intent and actual behavior. Therefore, we recommend future studies to examine the factors affecting the actual behavior of medication waste reduction and to investigate environmental ethics and religious commitment as predictors of waste reduction intentions. MDPI 2023-08-16 /pmc/articles/PMC10454758/ /pubmed/37623170 http://dx.doi.org/10.3390/ijerph20166584 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
Mouloudj, Kamel
Njoku, Anuli
Asanza, Dachel Martínez
Bouarar, Ahmed Chemseddine
Evans, Marian A.
Mouloudj, Smail
Bouarar, Achouak
Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior
title Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior
title_full Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior
title_fullStr Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior
title_full_unstemmed Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior
title_short Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior
title_sort modeling predictors of medication waste reduction intention in algeria: extending the theory of planned behavior
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454758/
https://www.ncbi.nlm.nih.gov/pubmed/37623170
http://dx.doi.org/10.3390/ijerph20166584
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