Cargando…

Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data

Given the increasing burden of chronic diseases in Indonesia, characteristics of chronic multimorbidities have not been comprehensively explored. Therefore, this research evaluated chronic multimorbidity patterns among Indonesians using Indonesian National Health Insurance (INHI) sample data. We inc...

Descripción completa

Detalles Bibliográficos
Autores principales: Husnayain, Atina, Ekadinata, Nopryan, Sulistiawan, Dedik, Chia-Yu Su, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731032/
https://www.ncbi.nlm.nih.gov/pubmed/33266273
http://dx.doi.org/10.3390/ijerph17238900
_version_ 1783621822642651136
author Husnayain, Atina
Ekadinata, Nopryan
Sulistiawan, Dedik
Chia-Yu Su, Emily
author_facet Husnayain, Atina
Ekadinata, Nopryan
Sulistiawan, Dedik
Chia-Yu Su, Emily
author_sort Husnayain, Atina
collection PubMed
description Given the increasing burden of chronic diseases in Indonesia, characteristics of chronic multimorbidities have not been comprehensively explored. Therefore, this research evaluated chronic multimorbidity patterns among Indonesians using Indonesian National Health Insurance (INHI) sample data. We included 46 chronic diseases and analyzed their distributions using population-weighted variables provided in the datasets. Results showed that chronic disease patients accounted for 39.7% of total patients who attended secondary health care in 2015–2016. In addition, 43.1% of those were identified as having chronic multimorbidities. Findings also showed that multimorbidities were strongly correlated with an advanced age, with large numbers of patients and visits in all provinces, beyond those on Java island. Furthermore, hypertension was the leading disease, and the most common comorbidities were diabetes mellitus, cerebral ischemia/chronic stroke, and chronic ischemic heart disease. In addition, disease proportions for certain disease dyads differed according to age group and gender. Compared to survey methods, claims data are more economically efficient and are not influenced by recall bias. Claims data can be a promising data source in the next few years as increasing percentages of Indonesians utilize health insurance coverage. Nevertheless, some adjustments in the data structure are accordingly needed to utilize claims data for disease control and surveillance purposes.
format Online
Article
Text
id pubmed-7731032
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77310322020-12-12 Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data Husnayain, Atina Ekadinata, Nopryan Sulistiawan, Dedik Chia-Yu Su, Emily Int J Environ Res Public Health Article Given the increasing burden of chronic diseases in Indonesia, characteristics of chronic multimorbidities have not been comprehensively explored. Therefore, this research evaluated chronic multimorbidity patterns among Indonesians using Indonesian National Health Insurance (INHI) sample data. We included 46 chronic diseases and analyzed their distributions using population-weighted variables provided in the datasets. Results showed that chronic disease patients accounted for 39.7% of total patients who attended secondary health care in 2015–2016. In addition, 43.1% of those were identified as having chronic multimorbidities. Findings also showed that multimorbidities were strongly correlated with an advanced age, with large numbers of patients and visits in all provinces, beyond those on Java island. Furthermore, hypertension was the leading disease, and the most common comorbidities were diabetes mellitus, cerebral ischemia/chronic stroke, and chronic ischemic heart disease. In addition, disease proportions for certain disease dyads differed according to age group and gender. Compared to survey methods, claims data are more economically efficient and are not influenced by recall bias. Claims data can be a promising data source in the next few years as increasing percentages of Indonesians utilize health insurance coverage. Nevertheless, some adjustments in the data structure are accordingly needed to utilize claims data for disease control and surveillance purposes. MDPI 2020-11-30 2020-12 /pmc/articles/PMC7731032/ /pubmed/33266273 http://dx.doi.org/10.3390/ijerph17238900 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Husnayain, Atina
Ekadinata, Nopryan
Sulistiawan, Dedik
Chia-Yu Su, Emily
Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data
title Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data
title_full Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data
title_fullStr Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data
title_full_unstemmed Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data
title_short Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data
title_sort multimorbidity patterns of chronic diseases among indonesians: insights from indonesian national health insurance (inhi) sample data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731032/
https://www.ncbi.nlm.nih.gov/pubmed/33266273
http://dx.doi.org/10.3390/ijerph17238900
work_keys_str_mv AT husnayainatina multimorbiditypatternsofchronicdiseasesamongindonesiansinsightsfromindonesiannationalhealthinsuranceinhisampledata
AT ekadinatanopryan multimorbiditypatternsofchronicdiseasesamongindonesiansinsightsfromindonesiannationalhealthinsuranceinhisampledata
AT sulistiawandedik multimorbiditypatternsofchronicdiseasesamongindonesiansinsightsfromindonesiannationalhealthinsuranceinhisampledata
AT chiayusuemily multimorbiditypatternsofchronicdiseasesamongindonesiansinsightsfromindonesiannationalhealthinsuranceinhisampledata