Seasonal Variation of Drug Prescription Rate for Overactive Bladder in Men Based on National Health Insurance Claims Data, 2012-2016.
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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 |
REPOSITORIES: biostudies-literature
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Project description: Not available
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Project description:BackgroundJapan's National Database (NDB) includes data on health checks and health insurance claims, is linkable using hash functions, and is available for research use. However, the linkage rate between health check and health insurance claims data has not been investigated.MethodsLinkage rate was evaluated by comparing observed medical and pharmaceutical charges among health check recipients in fiscal year (FY) 2009 (N = 21 588 883) with expected charges from the same population when record linkage was complete. Using the NDB, observed charges were estimated from the first published result of linking health check recipients in FY2009 and their health insurance claims in FY2010. Expected charges were estimated by combining 3 publicly available datasets, including data from the Medical Care Benefit Survey and an ad-hoc report by the Japan Health Insurance Association.ResultsOnly 14.9% of expected charges were linked by the NDB. The linkage rate was higher for women than for men (18.2% vs 12.4%) and for elderly adults as compared with younger adults (>25% vs <10%).ConclusionsThe linkage rate in the NDB was so low that any research linking health check and health insurance claims will not be reliable. Causes for the low linkage rate include differences between health check and health insurance claims data in name format (eg, insertion of a space between family and given names) and date of birth (Japanese vs Gregorian calendar). Investigation of the causes for the low linkage rate and measures for improvement are urgently needed.
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