The impact of multimorbidity among adults with cardiovascular diseases on healthcare costs in Indonesia: a multilevel analysis

Author:

Ramadani Royasia Viki,Svensson Mikael,Hassler Sven,Hidayat Budi,Ng Nawi

Abstract

Abstract Background Cardiovascular diseases (CVDs) are the leading cause of death in Indonesia, accounting for 38% of the total mortality in 2019. Moreover, healthcare spending on CVDs has been at the top of the spending under the National Health Insurance (NHI) implementation. This study analyzed the association between the presence of CVDs with or without other chronic disease comorbidities and healthcare costs among adults (> 30 years old) and if the association differed between NHI members in the subsidized group (poorer) and non-subsidized households group (better-off) in Indonesia. Methods This retrospective cohort study analyzed the NHI database from 2016–2018 for individuals with chronic diseases (n = 271,065) ascertained based on ICD-10 codes. The outcome was measured as healthcare costs in USD value for 2018. We employed a three-level multilevel linear regression, with individuals at the first level, households at the second level, and districts at the third level. The outcome of healthcare costs was transformed with an inverse hyperbolic sine to account for observations with zero costs and skewed data. We conducted a cross-level interaction analysis to analyze if the association between individuals with different diagnosis groups and healthcare costs differed between those who lived in subsidized and non-subsidized households. Results The mean healthcare out- and inpatient costs were higher among patients diagnosed with CVDs and multimorbidity than patients with other diagnosis groups. The predicted mean outpatient costs for patients with CVDs and multimorbidity were more than double compared to those with CVDs but no comorbidity (USD 119.5 vs USD 49.1, respectively for non-subsidized households and USD 79.9 vs USD 36.7, respectively for subsidized households). The NHI household subsidy status modified relationship between group of diagnosis and healthcare costs which indicated a weaker effect in the subsidized household group (β = -0.24, 95% CI -0.29, -0.19 for outpatient costs in patients with CVDs and multimorbidity). At the household level, higher out- and inpatient costs were associated with the number of household members with multimorbidity. At the district level, higher healthcare costs was associated with the availability of primary healthcare centres. Conclusions CVDs and multimorbidity are associated with higher healthcare costs, and the association is stronger in non-subsidized NHI households. Households' subsidy status can be construed as indirect socioeconomic inequality that hampers access to healthcare facilities. Efforts to combat cardiovascular diseases (CVDs) and multimorbidity should consider their distinct impacts on subsidized households. The effort includes affirmative action on non-communicable disease (NCD) management programs that target subsidized households from the early stage of the disease.

Funder

University of Gothenburg

Publisher

Springer Science and Business Media LLC

Reference44 articles.

1. World Health Organization. Cardiovascular Diseases. 2020. Available: https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1. Accessed: 24 March.

2. Institute for Health Metrics and Evaluation .Global Burden of Diseases: Indonesia. 2019. Available: https://www.healthdata.org/data-visualization/gbd-compare. Accessed.

3. World Health Organization .World Health Organization-Noncommunicable Diseases (NCD) Country Profile - Indonesia. 2018. Available: https://www.who.int/nmh/countries/idn_en.pdf. Accessed: 16 October 2019.

4. Ministry of Health. National Health Accounts Indonesia 2019. 2021. Available: https://ppjk.kemkes.go.id/libftp/uploads/trs_local_nposth/120/Report%20Full%20Figure%20NHA%202019_final_13012022.pdf. Accessed.

5. Hussain MA, Huxley RR, Al MA. Multimorbidity Prevalence and Pattern in Indonesian Adults: An Exploratory Study using National Survey Data. BMJ Open. 2015;5: e009810.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3