Impact of Medication Adherence on Quality of Life in Tuberculosis Patients

Background:The effect of medication adherence on the quality of life of patients with tuberculosis (TB) is a crucial research topic.TB can significantly affect a patient's mental health, physical function, and social roles and is associated with economic repercussions and social stigma.Adherence to the treatment regimen is essential for successful TB treatment.This study aimed to investigate the relationship between medication adherence and the quality of life among patients with TB at a primary healthcare center in Surabaya. Methods:The study employed the Adherence to Refills and Medications Scale to assess medication adherence and the Assessment of Quality of Life 4-Dimensions to evaluate patients' quality of life.The study was conducted with 72 patients with TB at 15 primary healthcare centers in Surabaya.Results: Most respondents demonstrated good medication adherence, with a relatively good overall quality of life.However, the mental health aspect of the quality of life was lower than that of other dimensions.The correlation analysis revealed a positive relationship between medication adherence and quality of life among patients with TB (r=0.215;p<0.05). Conclusion:Higher medication adherence was associated with a better quality of life among patients with TB at a primary healthcare center in Surabaya.

Authors

Institutions

Publication Details

Journal
Research in Clinical Pharmacy
Published
2025-12-31
DOI
https://doi.org/10.59931/rcp.25.0011
Citations
1
Primary Topic
Medication Adherence and Compliance
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Medication Adherence on Quality of Life in Tuberculosis Patients

Elida Zairina, Gusti Noorizka Veronika Achmad, Rifqi Mahdiya Husna, Yuni Priyandani
1 citations
Research in Clinical Pharmacy
Medication Adherence and Compliance
1.52
article

Impact of Medication Adherence on Quality of Life in Tuberculosis Patients

Elida Zairina, Gusti Noorizka Veronika Achmad, Rifqi Mahdiya Husna, Yuni Priyandani
article en
1 citations

Abstract

Background:The effect of medication adherence on the quality of life of patients with tuberculosis (TB) is a crucial research topic.TB can significantly affect a patient's mental health, physical function, and social roles and is associated with economic repercussions and social stigma.Adherence to the treatment regimen is essential for successful TB treatment.This study aimed to investigate the relationship between medication adherence and the quality of life among patients with TB at a primary healthcare center in Surabaya. Methods:The study employed the Adherence to Refills and Medications Scale to assess medication adherence and the Assessment of Quality of Life 4-Dimensions to evaluate patients' quality of life.The study was conducted with 72 patients with TB at 15 primary healthcare centers in Surabaya.Results: Most respondents demonstrated good medication adherence, with a relatively good overall quality of life.However, the mental health aspect of the quality of life was lower than that of other dimensions.The correlation analysis revealed a positive relationship between medication adherence and quality of life among patients with TB (r=0.215;p<0.05). Conclusion:Higher medication adherence was associated with a better quality of life among patients with TB at a primary healthcare center in Surabaya.

Research in Clinical PharmacyVol. 3(2)
Universitas Airlangga (ID)
Universitas Airlangga
Openalex Percentile: Top 11%
Medication Adherence and Compliance
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.