Impact of a nationwide prospective drug utilization review program to improve prescribing safety of potentially inappropriate medications in older adults: An interrupted time series with segmented regression analysis

The Impact of Moderate Earthquakes on Antidepressant Prescriptions in Ulsan, South Korea: A Controlled Interrupted Time Series Analysis

BACKGROUND

In 2016, two consecutive moderate magnitude earthquakes occurred in Ulsan, South Korea. Therefore, we aimed to investigate the impact of earthquakes on the mental health of residents in Ulsan.

METHODS

We used data from the 2015-2017 Korean Health Insurance Review & Assessment Service National Patient Sample. We conducted an interrupted time series analysis using location-based controls. Changes in the number of antidepressants, benzodiazepines, and zolpidem prescriptions in Ulsan were compared to controls. Overall changes in weekly prescriptions 1 year after the first earthquake, compared to a non-earthquake scenario, were estimated.

RESULTS

In antidepressant prescriptions, the increase in trend after an earthquake was significantly higher than controls. However, the changes in benzodiazepines and zolpidem prescribing were not significant. Overall, the impact of the earthquake on weekly antidepressant prescriptions at 1 year was estimated as a 1.32 (95% CI, 1.18-1.56) rate ratio compared to the non-earthquake scenario. This corresponded to an increase of 1,989.7 (95% CI, 1,202.1-3,063.0) in the number of prescriptions. Among subgroups, the increase was highest among males aged 20-39 years.

CONCLUSION

The moderate earthquake in Ulsan was associated with an increase in antidepressant prescriptions. The increase in the male group aged 20-39 was the highest. The impact may vary according to the context of the population.

Impact of the publication of the Finnish Meds75+ database on the use of potentially inappropriate medications in older persons

AIMS

To evaluate the impact of the updated nationwide Meds75+ database and its linkage to the Finnish health portal on the use of potentially inappropriate medications (PIMs) among older persons. We also aimed to evaluate whether there is regional variation in trend changes of PIM use.

METHODS

Meds75+ was implemented at the population level in 2015, so randomization is unfeasible. We used a quasi-experimental interrupted time series analysis to evaluate the changes in levels and trends of PIM use. The data included all Finnish community-dwelling persons aged ≥75 years (N = 920 163) who had medication purchases in the Prescription Register during 2009-2020. Data were linked with the Care Registers for Health and Social Care and the cause of death register.

RESULTS

The prevalence of PIMs decreased from 20.2% in 2009 to 11.7% in 2020. The change of level of the monthly PIM users was negative (β -0.036, 95% confidence interval [CI] -0.202 to 0.131), but not statistically significant (P = .673) after the publication of the database. We found a small decrease (β -0.018, 95% CI -0.083 to 0.047, P = .593) in the slope of PIM users, but it was not statistically significant. The regional results were similar to the main findings.

CONCLUSIONS

Publication of the updated Meds75+ database did not decrease the level or trend of PIM users. In addition, this study did not show any significant regional variation in PIM use trends. Further research should focus on determining barriers and facilitators to the utilization of PIM criteria in clinical practice.

Association of potentially inappropriate medications and need for long-term care among older adults: a matched cohort study

BACKGROUND

With an increase in the aging population, the number of older adults who require long-term care (LTC) is growing, enhancing drug-related issues. The reduced capacity of LTC users to precisely utilize medical services poses additional challenges owing to restrictions in daily activities. We compared older adults who required LTC with those who did not require LTC to confirm differences in the use of potentially inappropriate medications (PIMs), frequently used PIMs, and associating factors in Korea.

METHODS

Using the Korean National Health Insurance Service cohort data, adults aged ≥ 65 years as of 2017 who were LTC beneficiaries (at home and LTC facilities) were selected and matched 1:1 with a control group (LTC non-beneficiaries). PIM was defined based on the 2019 American Society of Geriatrics Beers criteria. PIM use and medical resource utilization according to LTC requirements were compared for one year after the index date. After correcting for other confounding variables, differences in the risk of PIM use on person-based according to LTC eligibility were assessed using multivariate logistic regression.

RESULTS

Among the 13,251 older adults requiring LTC in 2017, 9682 were matched with counterparts and included. Among those who received an outpatient prescription including PIM at least once yearly, 83.6 and 87.6% were LTC beneficiaries and LTC non-beneficiaries, respectively (p < 0.001). Using the number of outpatient prescriptions as the baseline, 37.2 and 33.2% were LTC beneficiaries and LTC non-beneficiaries, respectively (p < 0.001). In both groups, elevated PIM use depended on increased medical resource utilization, as shown by increased outpatient visits and medical care institutions visited. Adjusting other influencing factors, the need for LTC did not significantly associated with PIM use (odds ratio [OR] 0.93, 95% confidence interval [CI] 0.84-1.04); the number of drugs consumed (3-4: OR 1.42, 95% CI 1.25-1.61; 5-9: OR 2.24, 95% CI 1.98-2.53; 10 and more: OR 3.72, 95% CI 3.03-4.55; reference group: 2 and less), frequency of visits (7-15: OR 1.95, 95% CI 1.71-2.23; 16-26: OR 3.51, 95% CI 3.02-4.07; 27-42: OR 5.84, 95% CI 4.84-7.05; 43 and more: OR 10.30, 95% CI 8.15-13.01; reference group: 6 and less), and visits to multiple medical care institutions (3-4: OR 1.96, 95% CI 1.76-2.19; 5 and more: OR 3.21, 95% CI 2.76-3.73; reference group: 2 and less) emerged as primary influencing factors. PIMs mainly prescribed included first-generation antihistamines, benzodiazepines, and Z-drugs in both groups; quetiapine ranked second-highest among LTC beneficiaries.

CONCLUSIONS

The LTC demand did not significantly associated with PIM utilization. However, the number of drugs consumed, and the pattern of medical resource use were important factors, regardless of LTC requirements. This highlights the need to implement comprehensive drug management focusing on patients receiving polypharmacy and visiting multiple care institutions, regardless of LTC needs.

Impact of COVID-19 Pandemic Declaration on New Oncology Trial Commencements: An Interrupted Time Series with Segmented Regression Analysis

This study aimed to assess the trend in oncology trial commencements registered on ClinicalTrials.gov and to evaluate the contributing factors by comparing the trends in the pre- and post-COVID-19 pandemic era. The ClinicalTrials.gov database was searched to identify oncology study trials starting from 1 January 2018 to 28 February 2021. Data on the variables of start/complete date, phase, status, funding source, center, country and study type were extracted. According to the time point of the COVID-19 pandemic declaration by the World Health Organization (WHO), March 2020, we analyzed the extracted data, including interrupted time series (ITS) analysis and multivariable regression analysis. We identified 18,561 new oncology trials during the study period. A total of 5678 oncology trials in the prepandemic period and 6134 in the postpandemic period were included in the comparative analysis. The year 2020 had the most newly launched trials (32.3%), and the majority of trials were planned to be conducted for longer than two years (70.3%). The results of ITS show the trend in the commencement of oncology trials was significantly increased after the pandemic declaration (coefficient = 27.99; 95% CI = 19.27 to 36.71). Drug intervention trials were the largest contributor to the increased trial number compared to different interventions, such as trials of devices or procedures (OR = 1.14; 95% CI = 1.03 to 1.26, OR = 1.09; 95% CI = 0.91 to 1.29, and OR = 1.12; 95% CI = 0.96 to 1.31, respectively), whereas the United Kingdom was the highest contributor to the number of decreased trials (OR = 0.67; 95% CI = 0.51 to 0.89 p = 0.01) in the postpandemic era. The interruption in oncology trial initiation was diminished shortly after the COVID-19 pandemic declaration, which was influenced by several factors, such as interventions or national responses. Based on the current outcomes, appropriate strategies for developing oncology trials can be planned to mitigate the impact of future crises on oncology trials.

Patient- and Prescriber-Related Factors Associated with Potentially Inappropriate Medications and Drug-Drug Interactions in Older Adults

We aimed to evaluate the prevalence of potentially inappropriate medication (PIM) use and drug–drug interactions (DDIs) in older adults and their associated factors. This cross-sectional study used National Health Insurance data of older adults in South Korea. The 2015 AGS Beers Criteria were used to classify PIM use and DDIs. The associations of PIM use and DDIs with patient- and prescriber-related factors were evaluated using multiple logistic regression. Of the older adults who received at least one outpatient prescription (N = 1,277,289), 73.0% and 13.3% received one or more prescriptions associated with PIM use or DDIs, respectively. Chlorphenamine was most commonly associated with PIM, followed by diazepam. Co-prescriptions of corticosteroids and NSAIDs accounted for 82.8% of DDIs. Polypharmacy and mainly visiting surgeons or neurologists/psychiatrists were associated with a higher likelihood of prescriptions associated with PIM use or DDIs. Older age, high continuity of care (COC), and mainly visiting a hospital were associated with a lower likelihood of PIM use or DDIs. Prescriptions associated with PIM use and DDIS were more frequent for low COC patients or those who mainly visited clinics; therefore, patients with these characteristics are preferred intervention targets for reducing prescriptions associated with PIM use and DDIs.