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      Combined Effect of Income and Medication Adherence on Mortality in Newly Treated Hypertension: Nationwide Study of 16 Million Person‐Years

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          Abstract

          Background

          Low socioeconomic status and poor medication adherence are known to be associated with increased morbidity and mortality among patients with hypertension, but their combined effects have not been studied. We therefore evaluated the joint association of household income and medication adherence with death and cardiovascular disease in patients newly treated for hypertension.

          Methods and Results

          This was a nationwide cohort study using the Korean National Health Insurance database. We included 1 651 564 individuals, aged 30 to 80 years, with newly treated hypertension and no prior cardiovascular disease and followed them for 10 years. Main exposures were household income in quintiles and adherence to antihypertensive medication, estimated by medication possession ratio: good (≥0.8), moderate (0.5 to <0.8), or poor (<0.5). The primary outcomes were all‐cause and cardiovascular deaths. Higher mortality risk was observed in patients with low income (adjusted hazard ratio=1.50, 99% CI=1.46‐1.53; lowest versus highest quintile) and poor medication adherence (adjusted hazard ratio=1.66, 99% CI=1.63‐1.68; poor versus good adherence). When compared with the highest‐income and good‐adherence group, adjusted hazard ratio (99% CI) of death was 1.56 (1.52‐1.61) for highest‐income poor‐adherers, 1.46 (1.41‐1.51) for lowest‐income good‐adherers, and 2.46 (2.38‐2.54) for lowest‐income poor‐adherers ( P for interaction <0.001).

          Conclusions

          Low socioeconomic status and poor adherence to antihypertensive medication are associated with increased mortality and cardiovascular disease risks, but patients with low income are subject to larger excess risks by nonadherence. This highlights the potential importance of promoting medication adherence for risk reduction, especially in low‐income patients with hypertension.

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          Most cited references25

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          Data Resource Profile: The National Health Information Database of the National Health Insurance Service in South Korea

          Data resource basics The National Health Information Database (NHID) is a public database on health care utilization, health screening, socio-demographic variables, and mortality for the whole population of South Korea, formed by the National Health Insurance Service. The population included in the data is over 50 million, and the participation rate in the health screening programs was 74.8% in 2014. The NHID covers data between 2002 and 2014. Those insured by NHI pay insurance contributions and receive medical services from their health care providers. The NHIS, as the single insurer, pays costs based on the billing records of health care providers (Figure 1). To govern and carry out these processes in the NHI, the NHIS built a data warehouse to collect the required information on insurance eligibility, insurance contributions, medical history, and medical institutions. In 2012, the NHIS formed the NHID using information from medical treatment and health screening records and eligibility data from an existing database system. Figure 1. The governance of the National Health Insurance of South Korea. Data collected The eligibility database includes information about income-based insurance contributions, demographic variables, and date of death. The national health screening database includes information on health behaviors and bio-clinical variables. The health care utilization database includes information on records on inpatient and outpatient usage (diagnosis, length of stay, treatment costs, services received) and prescription records (drug code, days prescribed, daily dosage). The long-term care insurance database includes information about activities of daily living and service grades. The health care provider database includes data about the types of institutions, human resources, and equipment. In the NHID, de-identified join keys replacing the personal identifiers are used to interlink these databases. Data resource use Papers published covered various diseases or health conditions like infectious diseases, cancer, cardiovascular diseases, hypertension, diabetes mellitus, and injuries and risk factors such as smoking, alcohol consumption, and obesity. The impacts of health care and public health policies on health care utilization have been also explored since the data include all the necessary information reflecting patterns of health care utilization. Reasons to be cautious First, information on diagnosis and disease may not be optimal for identifying disease occurrence and prevalence since the data have been collected for medical service claims and reimbursement. However, the NHID also collects prescription data with secondary diagnosis, so the accuracy of the disease information can be improved. Second, the data linkage with other secondary national data is not widely available due to privacy issues in Korea. Governmental discussions on the statutory reform of data linkage using the NHID are under way. Collaboration and data access Access to the NHID can be obtained through the Health Insurance Data Service home page (http://nhiss.nhis.or.kr). An ethics approval from the researchers’ institutional review board is required with submission of a study proposal, which is reviewed by the NHIS review committee before providing data. Further inquiries on data use can be obtained by contacting the corresponding author. Funding and competing interests This work was supported by the NHIS in South Korea. The authors declare no competing interests.
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            Medication adherence: its importance in cardiovascular outcomes.

            Medication adherence usually refers to whether patients take their medications as prescribed (eg, twice daily), as well as whether they continue to take a prescribed medication. Medication nonadherence is a growing concern to clinicians, healthcare systems, and other stakeholders (eg, payers) because of mounting evidence that it is prevalent and associated with adverse outcomes and higher costs of care. To date, measurement of patient medication adherence and use of interventions to improve adherence are rare in routine clinical practice. The goals of the present report are to address (1) different methods of measuring adherence, (2) the prevalence of medication nonadherence, (3) the association between nonadherence and outcomes, (4) the reasons for nonadherence, and finally, (5) interventions to improve medication adherence.
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              Cohort profile: the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) in Korea

              Purpose The National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) is a cohort of participants who participated in health screening programmes provided by the NHIS in the Republic of Korea. The NHIS constructed the NHIS-HEALS cohort database in 2015. The purpose of this cohort is to offer relevant and useful data for health researchers, especially in the field of non-communicable diseases and health risk factors, and policy-maker. Participants To construct the NHIS-HEALS database, a sample cohort was first selected from the 2002 and 2003 health screening participants, who were aged between 40 and 79 in 2002 and followed up through 2013. This cohort included 514 866 health screening participants who comprised a random selection of 10% of all health screening participants in 2002 and 2003. Findings to date The age-standardised prevalence of anaemia, diabetes mellitus, hypertension, obesity, hypercholesterolaemia and abnormal urine protein were 9.8%, 8.2%, 35.6%, 2.7%, 14.2% and 2.0%, respectively. The age-standardised mortality rate for the first 2 years (through 2004) was 442.0 per 100 000 person-years, while the rate for 10 years (through 2012) was 865.9 per 100 000 person-years. The most common cause of death was malignant neoplasm in both sexes (364.1 per 100 000 person-years for men, 128.3 per 100 000 person-years for women). Future plans This database can be used to study the risk factors of non-communicable diseases and dental health problems, which are important health issues that have not yet been fully investigated. The cohort will be maintained and continuously updated by the NHIS.
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                Author and article information

                Contributors
                hckim@yuhs.ac
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                17 August 2019
                20 August 2019
                : 8
                : 16 ( doiID: 10.1002/jah3.2019.8.issue-16 )
                : e013148
                Affiliations
                [ 1 ] Department of Preventive Medicine Yonsei University College of Medicine Seoul Korea
                [ 2 ] Department of Internal Medicine Yonsei University College of Medicine Seoul Korea
                [ 3 ] Graduate School Yonsei University College of Medicine Seoul Korea
                [ 4 ] Big Data Steering Department National Health Insurance Service Wonju Korea
                [ 5 ] Department of Medicine University of Washington Seattle WA
                [ 6 ] Department of Epidemiology University of Washington Seattle WA
                [ 7 ] Division of Cardiology Severance Cardiovascular Hospital and Cardiovascular Research Institute Yonsei University College of Medicine Seoul Korea
                Author notes
                [*] [* ] Correspondence to: Hyeon Chang Kim, MD, PhD, FAHA, Department of Preventive Medicine, Yonsei University College of Medicine, 50 Yonsei‐ro, Seodaemun‐gu, Seoul 03722, Republic of Korea. E‐mail: hckim@ 123456yuhs.ac
                Article
                JAH34372
                10.1161/JAHA.119.013148
                6759906
                31422733
                4e33d839-7d1a-4df3-a0a0-f2171fff089e
                © 2019 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 01 May 2019
                : 24 July 2019
                Page count
                Figures: 3, Tables: 2, Pages: 26, Words: 7400
                Funding
                Funded by: Korea Health Industry Development Institute
                Funded by: Ministry of Health and Welfare, Republic of Korea
                Award ID: HI13C0715
                Funded by: Physician‐Scientist Fellowship Program
                Funded by: Yonsei University College of Medicine
                Categories
                Original Research
                Original Research
                Health Services and Outcomes Research
                Custom metadata
                2.0
                jah34372
                20 August 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.7 mode:remove_FC converted:20.08.2019

                Cardiovascular Medicine
                health disparities,hypertension,income,medication adherence,mortality,real‐world data,epidemiology,mortality/survival,quality and outcomes

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