Evidence map›Paper›PMID 39866673›Full record

ArticlePatient preference and adherence2025

How Does Indonesian Chronic Disease Patient Adhere to Their Treatment? A Cross-Sectional Analysis of 11,408 Subjects.

Ivan Surya Pradipta, Kevin Aprilio, Yozi Fiedya Ningsih, Mochammad Andhika Aji Pratama, Vesara Ardhe Gatera, Sofa Dewi Alfian, Aulia Iskandarsyah, Rizky Abdulah

Abstract read
In one paragraph

Article in Patient preference and adherence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ivan Surya Pradipta *Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0002-7151-0783
Kevin Aprilio *Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0002-7063-0038
Yozi Fiedya NingsihDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0001-9645-1831
Mochammad Andhika Aji PratamaDrug Utilization and Pharmacoepidemiology Research Group, Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.
Vesara Ardhe GateraDepartment of Pharmaceutical Biology, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.
Sofa Dewi AlfianDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0001-5419-8938
Aulia IskandarsyahDepartment of Clinical Psychology, Faculty of Psychology, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0002-9526-6922
Rizky AbdulahDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.

Funding

Dynamics of Family Well Being in Indonesia After 20 YearsR01HD050764 · NICHD · RAND CORPORATION · PI STRAUSS, JOHN A · 2006 to 2018
$3.5M
Twenty Years On The Fifth Indonesia Family Survey of AgingR01AG026676 · NIA · RAND CORPORATION · PI STRAUSS, JOHN A · 2006 to 2016
$3.3M
NIA NIH HHS R01 AG026676NICHD NIH HHS R01 HD050764
6 · The paper itself

Abstract

Background: Chronic disease has become an increasing burden in Indonesia, increasing the importance of treatment adherence to control the disease prognosis. Therefore, we aim to determine the prevalence and characteristics of nonadherence in Indonesian chronic disease population. Methods: We identified 11,408 adult subjects with chronic diseases from the fifth Indonesian Family Life Survey. We defined treatment nonadherence as the outcome variable and characteristics related to the World Health Organization Multidimensional Adherence Model as exposure variables. We used descriptive and multivariable analyses to analyze factors related to treatment nonadherence. Results: We identified that 57% (95% CI 56.1-57.9) of chronic disease patients were nonadherent to their treatment. Treatment nonadherence was notable in subjects with liver disease (61.8%), tuberculosis (59.8%), digestive diseases (57.9%), other lung diseases (56.8%), psychiatric diseases (51.6%), asthma (51.2%), and hypertension (50%). Treatment nonadherence was associated with socioeconomic-related factors of being aged 15-65 years, living in rural areas, having history of formal education, and having a household size of 2-6 people. Furthermore, in patient- and condition-related factors, positive perceptions of their health condition, missing 0-7 days of their regular activity in the last month, being ex- and non-smokers, having no depression symptoms, and having only one chronic disease were associated with treatment nonadherence. Conclusion: Treatment nonadherence for chronic diseases in Indonesia was found to be prevalent. Further consideration of characteristics associated with treatment nonadherence should be given to ensure optimal control of chronic diseases.

Indexed as

adherencechronic diseasescondition-related factorspatient-related factorssocioeconomic factors

Identifiers

PMID39866673
PMCPMC11766224

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.