Literature DB >> 34704207

High-Cost Users of Prescription Drugs: National Health Insurance Data from South Korea.

Dahye Park1, HyeYeong Lee1, Dong-Sook Kim2.   

Abstract

IMPORTANCE: In OECD countries, pharmaceutical spending reached around 800 billion USD in 2013, accounting for about 20% of total spending in the retail sector. Pharmaceutical expenditures are steadily increasing in South Korea, necessitating strategies to promote efficiency.
OBJECTIVE: This study investigated factors associated with high-cost users (HCUs), who account for the majority of outpatient prescriptions in the total South Korean population. The top 20 frequently prescribed therapeutic subgroups were also investigated.
DESIGN: This is an observational study performed using health insurance claims data in 2019. PARTICIPANTS: In total, 44,744,632 people (including 6,806,339 aged 65 years or older) who were prescribed outpatient medications were included. MAIN MEASURES: HCUs were defined as those for whom prescription drug costs were in the top 5%. Multivariate logistic regression analysis was performed using factors including age, insurance type, number of prescription drugs, outpatient visit days, prescription treatment days, and chronic diseases.
RESULTS: HCUs accounted for 3.6 million (5% of the total population) and 1.4 million (21.1% of those 65 years or older). Furthermore, 4.1% of HCUs in the total population had few comorbidities. Male sex, older age, insurance (Medical Aid), comorbidities, chronic diseases, number of prescription drugs, outpatient visit days, and prescription days were all associated with an increased probability of being an HCU. The highest spending was found for B01 (antithrombotic agents) with 0.4 billion USD, followed by C10 (lipid-modifying agents) and A10 (drugs used in diabetes). The proportion of spending for HCUs among the general population was highest in L01 (antineoplastic agents), at 98.2%, and L04 (immunosuppressants), at 87.8%, whereas among the elderly, the highest proportions were found for B01 (antithrombotic agents), at 44.5%, and N06 (antidepressants), at 44.3%.
CONCLUSION: Age and multiple chronic conditions were strongly associated with HCUs, and it seems necessary to reduce drug prescriptions in patients without complex comorbidities. Several measures should target those without multiple chronic conditions who are nonetheless HCUs.
© 2021. Society of General Internal Medicine.

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Year:  2021        PMID: 34704207      PMCID: PMC9360271          DOI: 10.1007/s11606-021-07165-x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   6.473


  16 in total

1.  Prescribed-drug utilization and polypharmacy in a general population in Greece: association with sociodemographic, health needs, health-services utilization, and lifestyle factors.

Authors:  E Pappa; N Kontodimopoulos; A A Papadopoulos; Y Tountas; D Niakas
Journal:  Eur J Clin Pharmacol       Date:  2010-11-11       Impact factor: 2.953

2.  Patterns of health care use in a high-cost inpatient population in Ottawa, Ontario: a retrospective observational study.

Authors:  Paul E Ronksley; Jennifer A McKay; Daniel M Kobewka; Sunita Mulpuru; Alan J Forster
Journal:  CMAJ Open       Date:  2015-01-13

3.  Characteristics and drug utilization patterns for heavy users of prescription drugs among the elderly: a Danish register-based drug utilization study.

Authors:  Anita Øymoen; Anton Pottegård; Anna Birna Almarsdóttir
Journal:  Eur J Clin Pharmacol       Date:  2015-04-28       Impact factor: 2.953

4.  Potentially Preventable Spending Among High-Cost Medicare Patients: Implications for Healthcare Delivery.

Authors:  Dhruv Khullar; Yongkang Zhang; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2020-02-26       Impact factor: 5.128

5.  Key Components of Increased Drug Expenditure in South Korea: Implications for the Future.

Authors:  Hye-Young Kwon; Bongmin Yang; Brian Godman
Journal:  Value Health Reg Issues       Date:  2015-03-29

6.  Contribution of preventable acute care spending to total spending for high-cost Medicare patients.

Authors:  Karen E Joynt; Atul A Gawande; E John Orav; Ashish K Jha
Journal:  JAMA       Date:  2013-06-26       Impact factor: 56.272

7.  Chronic Diseases in High-Cost Users of Hospital, Primary Care, and Prescription Medication in the Capital Region of Denmark.

Authors:  Cecilie Goltermann Toxværd; Kirstine Skov Benthien; Anne Helms Andreasen; Ann Nielsen; Merete Osler; Nanna Borup Johansen
Journal:  J Gen Intern Med       Date:  2019-09-11       Impact factor: 5.128

8.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

9.  Drug expenditure of high-cost patients and their characteristics in Finland.

Authors:  Leena K Saastamoinen; Jouko Verho
Journal:  Eur J Health Econ       Date:  2012-05-12

10.  High-cost health care users in Ontario, Canada: demographic, socio-economic, and health status characteristics.

Authors:  Laura C Rosella; Tiffany Fitzpatrick; Walter P Wodchis; Andrew Calzavara; Heather Manson; Vivek Goel
Journal:  BMC Health Serv Res       Date:  2014-10-31       Impact factor: 2.655

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