Addressing the healthcare waste management barriers: A structural equation modeling approach.

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  • Author(s): Raj A;Raj A; Samuel C; Samuel C; Singh AK; Singh AK
  • Source:
    Health services management research [Health Serv Manage Res] 2024 Aug; Vol. 37 (3), pp. 143-152. Date of Electronic Publication: 2023 Jul 03.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Sage Country of Publication: England NLM ID: 8811549 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1758-1044 (Electronic) Linking ISSN: 09514848 NLM ISO Abbreviation: Health Serv Manage Res Subsets: MEDLINE
    • Publication Information:
      Publication: Nov. 2012- : London : Sage
      Original Publication: [Harlow, Essex] : Longman, [c1988-
    • Subject Terms:
      Medical Waste Disposal*/statistics & numerical data; Humans ; India ; Surveys and Questionnaires ; Latent Class Analysis ; Female ; Male ; Waste Management/methods ; Waste Management/statistics & numerical data ; Adult ; Developing Countries ; Medical Waste/statistics & numerical data
    • Abstract:
      Due to the growing population and advancing economy, medical waste accumulation has come to the attention of all facets of society. Although the issue of medical waste management planning has been addressed in developed nations, it still exists in several developing nations. This paper examines the effects of barriers under the Organization action, work handling, and Human Resource Practices section on the healthcare waste management (HCWM) sector in a developing country India. In this study, three hypotheses were constructed and tested using Structural equation modeling. The questionnaire was distributed among 200 health professionals to collect their responses. Ninety-seven responses were received, and 15 barriers were identified affecting the healthcare waste management sector. The results show that all three barriers (i.e., Organizational, Waste handling, and Human resources) hinder the Healthcare waste management sector. Organizational Barriers are the most significant among other barriers. So, the hospitals have to take appropriate actions to overcome these barriers. This paper helps to complete the research gap by providing the different characteristics of barriers. The development of a model for the analysis of barriers influencing HCWM is the Author's original contribution.
      Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
    • Contributed Indexing:
      Keywords: barriers; healthcare; hospitals; structural equation modeling; waste management
    • Accession Number:
      0 (Medical Waste Disposal)
      0 (Medical Waste)
    • Publication Date:
      Date Created: 20230703 Date Completed: 20240806 Latest Revision: 20240918
    • Publication Date:
      20240919
    • Accession Number:
      10.1177/09514848231186775
    • Accession Number:
      37399521