Structural model of determinants of medication adherence in elderly individuals with tuberculosis in Iran

The findings of the current study demonstrate that medication adherence in elderly individuals with tuberculosis is a complex and multidimensional phenomenon. The relationship between the components of the model suggests that a comprehensive understanding of all concepts within the model is necessary to effectively plan and implement interventions aimed at improving medication adherence in this population. Additionally, the structural equation model revealed that the personal factor category had the greatest impact on predicting medication adherence compared to other categories. This suggests that elderly individuals with tuberculosis play a crucial role in medication adherence. The structural model presented in this study can serve as a valuable tool for researchers, policymakers, and healthcare providers to inform future studies, interventions, and policy decisions related to tuberculosis control.

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Publication Details

Journal
BMC Public Health
Published
2025-08-18
DOI
https://doi.org/10.1186/s12889-025-23727-8
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
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article

Structural model of determinants of medication adherence in elderly individuals with tuberculosis in Iran

Niloufar Alizadeh, Mahshid Foroughan, Gholamreza Ghaedamini Harouni, Seyed Alireza Nadji et al.
BMC Public Health
Mental Health Treatment and Access
article

Structural model of determinants of medication adherence in elderly individuals with tuberculosis in Iran

Niloufar Alizadeh, Mahshid Foroughan, Gholamreza Ghaedamini Harouni, Seyed Alireza Nadji, Payam Tabarsi, Farahnaz Mohammadi Shahboulaghi, Mohammad Varahram, Somayeh Hassani, Seyed Mohammad Seyedmehdi, Hamidreza Jamaati
article en

Abstract

The findings of the current study demonstrate that medication adherence in elderly individuals with tuberculosis is a complex and multidimensional phenomenon. The relationship between the components of the model suggests that a comprehensive understanding of all concepts within the model is necessary to effectively plan and implement interventions aimed at improving medication adherence in this population. Additionally, the structural equation model revealed that the personal factor category had the greatest impact on predicting medication adherence compared to other categories. This suggests that elderly individuals with tuberculosis play a crucial role in medication adherence. The structural model presented in this study can serve as a valuable tool for researchers, policymakers, and healthcare providers to inform future studies, interventions, and policy decisions related to tuberculosis control.

BMC Public HealthVol. 25(1)
Masih Daneshvari Hospital (IR), University of Social Welfare and Rehabilitation Sciences (IR), Shahid Beheshti University of Medical Sciences (IR)
Openalex Percentile: Top 76%
Mental Health Treatment and Access
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