Dataset Information

Seasonal Variation of Drug Prescription Rate for Overactive Bladder in Men Based on National Health Insurance Claims Data, 2012-2016.

ABSTRACT:

Purpose

Overactive bladder (OAB) symptoms might be affected by weather, but only a few clinical studies have investigated this issue. We investigated seasonal variations in OAB-drug prescription rate (DPR) in men using nationwide claims data in Korea.

Methods

A total of 2,824,140 men aged over 18 years were included from the Health Insurance Review and Assessment service - National Patient Sample data between 2012 and 2016. Depending on the monthly average temperature, the seasons were divided into 3 groups, namely, hot (June, July, August, and September), intermediate (April, May, October, and November), and cold (January, February, March, and December) seasons. OAB-DPR was estimated using the claims data, and differences in its rate were examined among the 3 seasonal groups.

Results

The overall OAB-DPR was 1.97% (55,574 of 2,824,140). The OAB-DPR were 0.38%, 0.63%, 0.92%, 1.74%, 4.18%, 7.55%, and 9.69% in the age groups of under 30, 30s, 40s, 50s, 60s, 70s, and over 80 years, respectively; thus, the prescription rate increased with age (P<0.001), with a steeper increase after 60 years of age. OAB-DPR was 1.02% in the hot season, 1.19% in the intermediate season, and 1.27% in the cold season, with significant differences among the 3 seasonal groups (P<0.001). These seasonal variations persisted in the subgroup analysis in each age decade (P<0.001).

Conclusion

OAB-DPR varied with seasons and was significantly higher in the cold season than in the hot season, suggesting that cold weather may affect development and aggravation of OAB symptoms in men.

SUBMITTER: Kim JW

PROVIDER: S-EPMC7538287 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Seasonal Variation of Drug Prescription Rate for Overactive Bladder in Men Based on National Health Insurance Claims Data, 2012-2016.

Kim Jong Won JW Ahn Hyun Kyu HK Ko Jongcheol J Lee Dongu D Ha Jee Soo JS Kim Jae Hwan JH Park So Jeong SJ Cho Kang Su KS

International neurourology journal 20200930 3

<h4>Purpose</h4>Overactive bladder (OAB) symptoms might be affected by weather, but only a few clinical studies have investigated this issue. We investigated seasonal variations in OAB-drug prescription rate (DPR) in men using nationwide claims data in Korea.<h4>Methods</h4>A total of 2,824,140 men aged over 18 years were included from the Health Insurance Review and Assessment service - National Patient Sample data between 2012 and 2016. Depending on the monthly average temperature, the seasons ...[more]

PMID: 33017898

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Project description:BACKGROUND:Direct-to-consumer information (DTCI) campaign is a new medium to inform and empower patients in their decision-making without directly promoting specific drugs. However, little is known about the impact of DTCI campaigns, expanding rapidly in developed countries, on changes in prescription patterns. We sought to determine whether a DTCI campaign on overactive bladder increases the prescription rate for overactive bladder treatment drugs. METHODS:We performed a 3-year retrospective cohort study of 1332 participants who were diagnosed overactive bladder but not prescribed treatment drugs prior to the examined DTCI campaign (exposure), using the health insurance claims dataset of the Japan Medical Data Center (November 19, 2010 to November 18, 2013). The DTCI campaign for overactive bladder included television, Internet, and print advertising (November 19, 2011 to December 22, 2011). We divided the study period into Pre-Campaign Year (2010-2011), Year 1 (2011-2012), and Year 2 (2012-2013). Each year began on November 19 and included Period 1 (weeks 1-5) through Period 10 (weeks 46-50). The main outcome was first-time prescription of the treatment drug for each patient, measured by 5-week periods. Using Period 10 in the Pre-Campaign Year as the referent period, we applied the Cox proportional hazard model for each period. Additionally, we performed the interrupted time series analysis (ITSA) for the first-time prescription rate per 5-week period. RESULTS:Following the DTCI campaign, patients were about seven times more likely to receive a first prescription of a treatment drug during Period 4 in Year 1 (hazard ratio 7.09; 95% CI, 2.11-23.8; p-value<.01) compared with the reference period. Similar increases were also observed for subsequent Periods 5 and 6 in Year 1. The ITSA confirmed the DTCI campaign impact on the level of prescription rate (one-time increase in the regression-intercept) that increased by 1128.1 [per standardized 100,000 persons] (p < .05) during Period 4 in Year 1. CONCLUSIONS:The examined DTCI campaign appeared to increase the prescription rate among patients with overactive bladder for 15 weeks with a 15-week delay. Clinical outcomes of the patients with targeted diseases need to be monitored after DTCI campaigns by a future study.

Project description:Overactive bladder (OAB) is a prevalent condition characterized by lower urinary tract symptoms (LUTS). Age, education, income, marital status, sleep, and emotional problems have been associated with OAB; however, conflicting results exist. The present study was conducted to estimate the prevalence of OAB and comprehensively analyze its associated factors in a large cross-sectional, population-based study. The data of 94,554 participants aged 19-107 were analyzed from the Korean Community Health Survey (KCHS) of 2012. Data on marital status, physical activity, education level, occupation, body mass index (BMI), income level, sleep time, and stress level were retrieved for all enrolled participants. The overactive bladder symptom score (OABSS) was used to evaluate the presence and degree of OAB. Simple and multiple logistic regression analyses with complex sampling were used for the associations between various factors and the presence of OAB. Overall, OAB was present in approximately 2.9% of the participants. The prevalence of OAB increased with age and steeply increased after 60 years of age (adjusted odds ratio [AOR] for each 10 years = 1.70, 95% confidence interval [CI] = 1.61-1.80, P<0.001). The prevalence of OAB was lower in married than unmarried subjects (AOR = 0.59, 95% CI = 0.48-0.72, P<0.001). The prevalence of OAB was significantly different according to occupation Compared to manager, expert, specialist, clerk group, the prevalence of OAB was highest in unemployed group (AOR = 1.90, 95% CI = 1.55-2.32, P < 0.001). Being underweight was correlated with OAB (AOR = 1.29, 95% CI = 1.08-1.55, P = 0.018). Inadequate sleep showed a significant association with OAB (AOR = 1.13, 95% CI = 1.02-1.25 for ≤6 hours of sleep time and AOR = 1.53, 95% CI = 1.27-1.86 for ≥9 hours of sleep, P<0.001). Stress level showed a dose-dependent positive association with OAB [AOR (95% CI) = 3.91 (3.13-4.89) > 2.16 (1.88-2.48) > 1.39 (1.23-1.57) for severe stress > moderate stress > some stress, respectively, P<0.001]. A medical history of diabetes mellitus, hyperlipidemia, and/or cerebral stroke was significantly related to OAB. Approximately 2.9% of adult Korean men experienced OAB based on the OABSS. Unmarried status; occupation; being underweight; inadequate sleep; stress; and medical history of diabetes mellitus, hyperlipidemia, or cerebral stroke were significantly correlated with OAB.

Project description:BackgroundCommercial insurance claims data are a stable and consistent source of information on Lyme disease diagnoses in the United States and can contribute to our understanding of overall disease burden and the tracking of epidemiological trends. Algorithms consisting of diagnosis codes and antimicrobial treatment information have been used to identify Lyme disease diagnoses in claims data, but there might be opportunity to improve their accuracy.MethodsWe developed three modified versions of our existing claims-based Lyme disease algorithm; each reflected refined criteria regarding antimicrobials prescribed and/or maximum days between diagnosis code and qualifying prescription claim. We applied each to a large national commercial claims database to identify Lyme disease diagnoses during 2016-2019. We then compared characteristics of Lyme disease diagnoses identified by each of the modified algorithms to those identified by our original algorithm to assess differences from expected trends in demographics, seasonality, and geography.ResultsObserved differences in characteristics of patients with diagnoses identified by the three modified algorithms and our original algorithm were minimal, and differences in age and sex, in particular, were small enough that they could have been due to chance. However, one modified algorithm resulted in proportionally more diagnoses in men, during peak summer months, and in high-incidence jurisdictions, more closely reflecting epidemiological trends documented through public health surveillance. This algorithm limited treatment to only first-line recommended antimicrobials and shortened the timeframe between a Lyme disease diagnosis code and qualifying prescription claim.ConclusionsAs compared to our original algorithm, a modified algorithm that limits the antimicrobials prescribed and shortens the timeframe between a diagnosis code and a qualifying prescription claim might more accurately identify Lyme disease diagnoses when utilizing insurance claims data for supplementary, routine identification and monitoring of Lyme disease diagnoses.

Dataset Information

Seasonal Variation of Drug Prescription Rate for Overactive Bladder in Men Based on National Health Insurance Claims Data, 2012-2016.

Purpose

Methods

Results

Conclusion

Publications

Seasonal Variation of Drug Prescription Rate for Overactive Bladder in Men Based on National Health Insurance Claims Data, 2012-2016.

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