A population-based study on the risk of prescription opioid abuse in patients with chronic opioid use and cost-effectiveness of prescription drug monitoring program using a patient simulation model in South Korea

Kim, Siin; Suh, Hae Sun

doi:10.1016/j.drugpo.2023.103953

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…In line with our results, Rice et al reported that frequent NIOA prescription was the strongest risk factor of OUD occurrence in prescription opioid users (aOR 6.85, 95% CI 5.98-7.85) (Rice et al 2012). Medical aid (adjusted hazard ratio 1.13, 95% CI 1.07-1.19) was also reported as a significant risk factor in another study in Korea (Kim and Suh 2023). Common medication classes concomitantly misused in patients with OUD are sedatives, hypnotics, or anxiolytics.…”

Section: Discussionsupporting

confidence: 92%

“…Therefore, to define the OUD case, we used www.journal-dtt.org the ICD-10 codes (F11), which had more than 90% positive predictive value (96.3%, 95% CI 90.8-98.6), although the sensitivity was moderate (42.6%, 95% CI 36.3-49.1) (Campanile and Silverman 2022). Among the known risk factors for OUD, benzodiazepine use, opioid dose, economic status, and frequent NIOA prescriptions were re-confirmed in this study (Rice et al 2012;Cragg et al 2019;Kim and Suh 2023). In line with our results, Rice et al reported that frequent NIOA prescription was the strongest risk factor of OUD occurrence in prescription opioid users (aOR 6.85, 95% CI 5.98-7.85) (Rice et al 2012).…”

Section: Discussionsupporting

confidence: 91%

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Incidence and Risk Factors of Opioid Use Disorder in New Users of Opioid Analgesics in Korea: Analysis of a National Claims Database

Heo,

Jo,

Noh

et al. 2023

DTT

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Opioid analgesics are essential medications for severe pain; however, their use can cause various adverse events. Opioid use disorder (OUD) is a serious challenge associated with infectious diseases, injuries, and deaths. This study aimed to identify the incidence of OUD and its associated factors in Korean adults who were new users of non-injectable opioid analgesics (NIOA) using data from the national claims database provided by Health Insurance Review and Assessment Services from 2016 to 2018. Patients who received a new diagnosis of OUD after NIOA initiation, defined by the International Classification of Diseases-10 were classified as the case group. We used the exact match method to select a control group of patients without OUD in a 1:4 ratio. The cumulative incidence of OUD for 2 years after NIOA initiation was 0.006%. Factors associated with OUD occurrence included daily morphine milligram equivalents (≥ 50 MME/day; adjusted odds ratio [aOR] 5.04, 95% confidence interval [CI] 1.92-13.25), number of NIOA prescriptions (≥ 10; aOR 19.05, 95% CI 5.53-65.58), and use of sustained-release formulation (aOR 3.5, 95% CI 1.8-6.78). Benzodiazepine uses and type of insurance were also significantly associated with OUD occurrence. The incidence of OUD in patients using NIOA identified through diagnostic codes in Korea was lower than that in other countries. Close monitoring is recommended for patients with identified risk factors.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

Incidence and Risk Factors of Opioid Use Disorder in New Users of Opioid Analgesics in Korea: Analysis of a National Claims Database

Heo,

Jo,

Noh

et al. 2023

DTT

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Responding to the US opioid crisis: leveraging analytics to support decision making

Brandeau

2023

Health Care Manag Sci

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Assessment of Epidemiological Data and Surveillance in Korea Substance Use Research: Insights and Future Directions

Sung,

Rees,

Lee

et al. 2024

JPMPH

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Objectives: Effective data collection and surveillance of epidemiological trends are essential in confronting the growing challenges associated with substance use (SU), especially in light of emerging trends and underreporting of cases. However, research and data are scarce regarding SU and substance use disorder (SUD) in Korea.Methods: We conducted a scoping review to identify data sources and surveillance methods used in SU research in Korea up to December 2023. This review was complemented by semi-structured consultations with experts in this area in Korea, whose feedback led to revisions of previously identified data sources and assessments.Results: Our review identified 32 publications conducting secondary analyses on existing data to examine the epidemiology of SU and SUD in Korea. Of these, 14 studies utilized clinical databases to explore the prescription patterns of addictive substances, particularly opioids. Eleven data sources showed promise for advancing SU research; however, they face substantial limitations, including a lack of available data, missing data, the absence of key variables, the exclusion of marginalized populations not captured within the clinical system, and complexities in matching individual-level data across time points and datasets.Conclusions: Current surveillance methods for SU in Korea face considerable challenges in accessibility, usability, and standardization. Moreover, existing data repositories may fail to capture information on populations not served by clinical or judicial systems. To systematically improve surveillance approaches, it is necessary to develop a robust and nationally representative survey, refine the use of existing clinical data, and ensure the availability of data on treatment facilities.

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A population-based study on the risk of prescription opioid abuse in patients with chronic opioid use and cost-effectiveness of prescription drug monitoring program using a patient simulation model in South Korea

Cited by 3 publications

References 33 publications

Incidence and Risk Factors of Opioid Use Disorder in New Users of Opioid Analgesics in Korea: Analysis of a National Claims Database

Incidence and Risk Factors of Opioid Use Disorder in New Users of Opioid Analgesics in Korea: Analysis of a National Claims Database

Responding to the US opioid crisis: leveraging analytics to support decision making

Assessment of Epidemiological Data and Surveillance in Korea Substance Use Research: Insights and Future Directions

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