The Predictors of Medication Adherence Among Tb Patients on the E-Refill Prescription System in Health Care Facilities in Lagos – A Systematic Review

Objective: The objective of this study is to identify medication adherence predictors so that treatments can be personalized to target socioeconomic, psychological, or health system-related issues that could have a detrimental impact on adherence to medication. Methods: Comprehensive search was carried out using databases including African Journals Online (AJOL), PubMed Central, Google Scholar, Science Direct, and JSTOR that contained articles published between 2014 and 2024. Results: The data from the many studies included indicated that access to technology, health-related issues, and demographic characteristics were the main determinants of medication adherence in tuberculosis (TB) patients. Patient-provider interactions were also found to be highly significant in this regard. Furthermore, the effectiveness of e-refill systems in improving treatment results was demonstrated, especially with regard to mobile phone-based interventions, despite challenges such as technical malfunctions and patient accessibility problems in public health facilities. Conclusion: The study highlights the importance of medication adherence in the treatment of tuberculosis and the role various factors, including socio-demographic characteristics and social support, play in patient adherence. To improve treatment outcomes, intervention strategies, such as patient education and healthcare staff training are crucial. Further research should be done on enhancing system efficiency and user diversity to optimize e-refill systems' effectiveness in promoting medication adherence and improving TB treatment outcomes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-14
DOI
https://doi.org/10.5281/zenodo.14160244
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

The Predictors of Medication Adherence Among Tb Patients on the E-Refill Prescription System in Health Care Facilities in Lagos – A Systematic Review

Zenodo (CERN European Organization for Nuclear Research)
Mobile Health and mHealth Applications
article

The Predictors of Medication Adherence Among Tb Patients on the E-Refill Prescription System in Health Care Facilities in Lagos – A Systematic Review

article en

Abstract

Objective: The objective of this study is to identify medication adherence predictors so that treatments can be personalized to target socioeconomic, psychological, or health system-related issues that could have a detrimental impact on adherence to medication. Methods: Comprehensive search was carried out using databases including African Journals Online (AJOL), PubMed Central, Google Scholar, Science Direct, and JSTOR that contained articles published between 2014 and 2024. Results: The data from the many studies included indicated that access to technology, health-related issues, and demographic characteristics were the main determinants of medication adherence in tuberculosis (TB) patients. Patient-provider interactions were also found to be highly significant in this regard. Furthermore, the effectiveness of e-refill systems in improving treatment results was demonstrated, especially with regard to mobile phone-based interventions, despite challenges such as technical malfunctions and patient accessibility problems in public health facilities. Conclusion: The study highlights the importance of medication adherence in the treatment of tuberculosis and the role various factors, including socio-demographic characteristics and social support, play in patient adherence. To improve treatment outcomes, intervention strategies, such as patient education and healthcare staff training are crucial. Further research should be done on enhancing system efficiency and user diversity to optimize e-refill systems' effectiveness in promoting medication adherence and improving TB treatment outcomes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Mobile Health and mHealth Applications
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The Predictors of Medication Adherence Among Tb Patients on the E-Refill Prescription System in Health Care Facilities in Lagos – A Systematic Review · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS