IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p10898-d1191816.html
   My bibliography  Save this article

Exploring Influential Factors with Structural Equation Modeling–Artificial Neural Network to Involve Medicine Users in Home Medicine Waste Management and Preventing Pharmacopollution

Author

Listed:
  • Wesley Douglas Oliveira Silva

    (Escola UNICAP ICAM-TECH, Universidade Católica de Pernambuco (UNICAP), Recife 50050-900, Brazil
    Management Engineering Department, Universidade Federal de Pernambuco (UFPE), Recife 50740-550, Brazil)

  • Danielle Costa Morais

    (Management Engineering Department, Universidade Federal de Pernambuco (UFPE), Recife 50740-550, Brazil)

  • Ketylen Gomes da Silva

    (Escola UNICAP ICAM-TECH, Universidade Católica de Pernambuco (UNICAP), Recife 50050-900, Brazil)

  • Pedro Carmona Marques

    (EIGeS, Faculty of Engineering, Lusófona University, 1749-024 Lisbon, Portugal
    Instituto Superior de Engenharia de Lisboa (ISEL), Instituto Politécnico de Lisboa, 1959-007 Lisbon, Portugal)

Abstract

The appropriate management of home medical waste is of paramount importance due to the adverse consequences that arise from improper handling. Incorrect disposal practices can lead to pharmacopollution, which poses significant risks to environmental integrity and human well-being. Involving medicine users in waste management empowers them to take responsibility for their waste and make informed decisions to safeguard the environment and public health. The objective of this research was to contribute to the prevention of pharmacopollution by identifying influential factors that promote responsible disposal practices among medicine users. Factors such as attitude, marketing campaigns, collection points, safe handling, medical prescription, package contents, and public policies and laws were examined. To analyze the complex relationships and interactions among these factors, a dual-staged approach was employed, utilizing advanced statistical modeling techniques and deep learning artificial neural network algorithms. Data were collected from 952 respondents in Pernambuco, a state in northeastern Brazil known for high rates of pharmacopollution resulting from improper disposal of household medical waste. The results of the study indicated that the propositions related to safety in handling and medical prescription were statistically rejected in the structural equation modeling (SEM) model. However, in the artificial neural network (ANN) model, these two propositions were found to be important predictors of cooperative behavior, highlighting the ANN’s ability to capture complex, non-linear relationships between variables. The findings emphasize the significance of user cooperation and provide insights for the development of effective strategies and policies to address pharmacopollution.

Suggested Citation

  • Wesley Douglas Oliveira Silva & Danielle Costa Morais & Ketylen Gomes da Silva & Pedro Carmona Marques, 2023. "Exploring Influential Factors with Structural Equation Modeling–Artificial Neural Network to Involve Medicine Users in Home Medicine Waste Management and Preventing Pharmacopollution," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10898-:d:1191816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/10898/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/10898/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Changjoon Lee & Soyoun Lim & Byoungchun Ha, 2021. "Green Supply Chain Management and Its Impact on Consumer Purchase Decision as a Marketing Strategy: Applying the Theory of Planned Behavior," Sustainability, MDPI, vol. 13(19), pages 1-16, October.
    2. David Carassus & Christophe Favoreu & Damien Gardey, 2014. "Factors that Determine or Influence Managerial Innovation in Public Contexts: The Case of Local Performance Management," Public Organization Review, Springer, vol. 14(2), pages 245-266, June.
    3. de Oña, Juan & de Oña, Rocío & Eboli, Laura & Mazzulla, Gabriella, 2013. "Perceived service quality in bus transit service: A structural equation approach," Transport Policy, Elsevier, vol. 29(C), pages 219-226.
    4. Yumei Luo & Kai Reimers & Lei Yang & Jinping Lin, 2021. "Household Drug Management Practices of Residents in a Second-Tier City in China: Opportunities for Reducing Drug Waste and Environmental Pollution," IJERPH, MDPI, vol. 18(16), pages 1-15, August.
    5. Jun Lv & Xuan Liu & Sivhuang Lay, 2021. "The Impact of Consequences Awareness of Public Environment on Medicine Return Behavior: A Moderated Chain Mediation Model," IJERPH, MDPI, vol. 18(18), pages 1-19, September.
    6. Simone Aquino & Glauco Antonio Spina & Maria Antonietta Leitão Zajac & Evandro Luiz Lopes, 2018. "Reverse Logistics of Postconsumer Medicines: The Roles and Knowledge of Pharmacists in the Municipality of São Paulo, Brazil," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    7. David Carassus & Christophe Favoreu & Damien Gardey, 2014. "Factors That Determine or Influence Managerial Innovation in Public Contexts: The Case of Local Performance Management," Post-Print hal-02431110, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. João Paulo Santos Aragão & Marcele Elisa Fontana, 2022. "Outsourcing Strategies in Public Services under Budgetary Constraints: Analysing Perceptions of Public Managers," Public Organization Review, Springer, vol. 22(1), pages 61-77, March.
    2. Laurin Buchheim & Alexander Krieger & Sarah Arndt, 2020. "Innovation types in public sector organizations: a systematic review of the literature," Management Review Quarterly, Springer, vol. 70(4), pages 509-533, November.
    3. Philippe Anton & Amaury Grimand & Stéphane Bellini & Audrey Becuwe & Magali Boespflug, 2018. "Les espaces de concertation comme levier de prise en charge des paradoxes de l’action publique. Le cas du déploiement d’un projet structurant au sein du pôle santé-seniors d’une collectivité locale," Post-Print hal-02143513, HAL.
    4. Sarker, Rumana Islam & Kaplan, Sigal & Mailer, Markus & Timmermans, Harry J.P., 2019. "Applying affective event theory to explain transit users’ reactions to service disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 593-605.
    5. Yung-Tsan Jou & Charmine Sheena Saflor & Klint Allen Mariñas & Michael Nayat Young, 2023. "Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    6. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    7. Pons-Prats, Jordi & Živojinović, Tanja & Kuljanin, Jovana, 2022. "On the understanding of the current status of urban air mobility development and its future prospects: Commuting in a flying vehicle as a new paradigm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    8. Hongjun Cui & Mingzhi Li & Minqing Zhu & Xinwei Ma, 2023. "Investigating the Impacts of Urban–Rural Bus Service Quality on Rural Residents’ Travel Choices Using an SEM–MNL Integration Model," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    9. Xingwei Li & Jiachi Dai & Xiaowen Zhu & Jingru Li & Jinrong He & Yicheng Huang & Xiang Liu & Qiong Shen, 2023. "Mechanism of attitude, subjective norms, and perceived behavioral control influence the green development behavior of construction enterprises," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    10. Chatzigeorgiou, Chryssoula & Christou, Evangelos & Simeli, Ioanna, 2017. "Delegate satisfaction from conference service quality and its impact on future behavioural intentions," MPRA Paper 93933, University Library of Munich, Germany.
    11. Esmailpour, Javad & Aghabayk, Kayvan & Aghajanzadeh, Mohammad & De Gruyter, Chris, 2022. "Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 80-103.
    12. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    13. Kamel Mouloudj & Anuli Njoku & Dachel Martínez Asanza & Ahmed Chemseddine Bouarar & Marian A. Evans & Smail Mouloudj & Achouak Bouarar, 2023. "Modeling Predictors of Medication Waste Reduction Intention in Algeria: Extending the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(16), pages 1-18, August.
    14. Celik, Erkan & Aydin, Nezir & Gumus, Alev Taskin, 2014. "A multiattribute customer satisfaction evaluation approach for rail transit network: A real case study for Istanbul, Turkey," Transport Policy, Elsevier, vol. 36(C), pages 283-293.
    15. Carolina Silva Costa & Cira Souza Pitombo & Felipe Lobo Umbelino de Souza, 2022. "Travel Behavior before and during the COVID-19 Pandemic in Brazil: Mobility Changes and Transport Policies for a Sustainable Transportation System in the Post-Pandemic Period," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    16. Ching-Fu Chen & Yi-Xuan Chen, 2023. "Investigating the effects of platform and mobility on mobility as a service (MaaS) users’ service experience and behavioral intention: empirical evidence from MeNGo, Kaohsiung," Transportation, Springer, vol. 50(6), pages 2299-2318, December.
    17. Justyna Rogowska & Agnieszka Zimmermann, 2022. "Household Pharmaceutical Waste Disposal as a Global Problem—A Review," IJERPH, MDPI, vol. 19(23), pages 1-29, November.
    18. Allen, Jaime & Muñoz, Juan Carlos & Rosell, Jordi, 2019. "Effect of a major network reform on bus transit satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 310-333.
    19. Juan de Oña & Rocio de Oña, 2015. "Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches," Transportation Science, INFORMS, vol. 49(3), pages 605-622, August.
    20. Jomnonkwao, Sajjakaj & Ratanavaraha, Vatanavongs, 2016. "Measurement modelling of the perceived service quality of a sightseeing bus service: An application of hierarchical confirmatory factor analysis," Transport Policy, Elsevier, vol. 45(C), pages 240-252.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10898-:d:1191816. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.