| Literature DB >> 31256264 |
Hiroaki Itoh1, Tomoyuki Saito2,3, Shuko Nojiri4, Yoshimune Hiratsuka5, Kazuhito Yokoyama6,7.
Abstract
BACKGROUND: Although a high number of wet compresses are prescribed daily in medical institutions in Japan, our understanding of the national burden of the cost of wet compresses and the details regarding their prescription is far from complete. We investigated the national burden of the annual pharmaceutical cost of wet compresses prescribed in Japan and estimated the predictors of this cost using nationwide health insurance claims data.Entities:
Keywords: Cost; Health insurance claims; National database; Poultice; Receipt; Wet compress
Year: 2019 PMID: 31256264 PMCID: PMC6734351 DOI: 10.1186/s13561-019-0238-6
Source DB: PubMed Journal: Health Econ Rev ISSN: 2191-1991
Fig. 1Distribution of annual wet compress cost by sex and five-year age group
Fig. 2Distribution of annual wet compress cost by sex and five-year age group among younger people
Associations between several factors and the annual pharmaceutical cost of wet compresses per resident: Results from five independent multiple linear regression analyses in the ecological study using each prefecture as an individual unit (n = 47)
| Independent variable | Beta (95% CI) |
|
|---|---|---|
| Number of rheumatology physicians per 100,000 residents | 28.2 (−2.8, 59.2) | 0.074 |
| Number of orthopedists per 100,000 residents |
|
|
| Number of rehabilitation physicians per 100,000 residents |
|
|
| Number of pediatricians per 100,000 residents | 7.0 (−3.7, 17.7) | 0.20 |
| Number of internists per 100,000 residents | 2.8 (−1.7, 7.2) | 0.21 |
The dependent variable was the age-standardized annual pharmaceutical cost of wet compresses per resident
Beta indicates partial regression coefficients adjusted for covariates (age-standardized population sex ratio and annual income per resident) in each multiple linear regression model
Bold text indicates statistically significant associations (P < 0.05)
Adjusted R2 ranged from 0.180 to 0.278
CI Confidence interval
Fig. 3Intensity map showing the regional variation in age-standardized wet compress cost per resident (quintiles, JPY)
Fig. 4Percentages of the students who participated in sports club activities in Japan. Data from the Ministry of Education, Culture, Sports, Science and Technology [34]