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Regional Variations in Coronavirus Disease 2019 Mortality in Japan: An Ecological Study
Akihisa Nakamura1, Kazuhiko Kotani1, Shuji Hatakeyama2,3
1Division of Community and Family Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke, Japan.
Insights
Regional characteristics impact COVID-19 mortality. More physicians per hospital bed and fewer long-term care facilities correlate with lower coronavirus disease 2019 (COVID-19) deaths, especially in less populated areas.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Coronavirus disease 2019 (COVID-19) outcomes vary geographically.
- Regional factors like healthcare resource distribution may influence COVID-19 mortality rates.
Purpose of the Study:
- To investigate the relationship between regional characteristics and COVID-19 mortality in Japan.
- To assess how physician and hospital bed distribution affects COVID-19 mortality across prefectures.
Main Methods:
- Ecological study during Japan's seventh COVID-19 wave (June-October 2022).
- COVID-19 mortality index calculated as deaths per new cases.
- Correlations analyzed between regional factors (population, physicians, hospital beds, long-term care facilities, aging rate) and mortality index, stratified by population size.
Main Results:
- COVID-19 mortality negatively correlated with physicians per hospital bed (r = -0.386, p = 0.007).
- Mortality positively correlated with long-term care facilities (r = 0.397, p = 0.006) and aging rate (r = 0.471, p = 0.001).
- In less populated areas, mortality was lower with more physicians per hospital bed (β = -0.543, p = 0.024) and higher with increased aging rate (β = 0.434, p = 0.032).
Conclusions:
- Healthcare resource distribution, particularly physicians and hospital beds, is linked to COVID-19 mortality.
- Targeted improvements in healthcare systems for smaller, older populations may reduce COVID-19 mortality.
Introduction:
As the characteristics of coronavirus disease 2019 (COVID-19) vary across regions and countries, the relationship between regional characteristics, such as the distribution of physicians and hospital beds, and COVID-19 mortality was assessed in the 47 prefectures of Japan.
Methods:
This ecological study was based on the number of patients with COVID-19 by prefecture during the seventh wave of COVID-19 in Japan (June-October 2022). COVID-19 mortality was indexed as the number of COVID-19 deaths divided by the number of new COVID-19 cases. Data on regional factors, such as population size, number of physicians, and hospital beds by prefecture, were obtained from government statistics. Correlations between regional characteristics and COVID-19 mortality index were analyzed by dividing the 47 prefectures into two groups at the median level of population size (more populated group [MPG] ≥ 1.6 million and less populated group [LPG] < 1.6 million).
Results:
The COVID-19 mortality index (mean 12.7, minimum-maximum: 4.7-25.7) was correlated negatively with the number of physicians per hospital bed (r = -0.386, p = 0.007) and positively with the number of long-term care facilities per 10,000 population (r = 0.397, p = 0.006) and aging rate (the proportion of population aged ≥ 65 years) (r = 0.471, p = 0.001). The two groups varied with respect to the number of physicians (28.7 physicians in the LPG vs. 26.1 physicians in the MPG, p = 0.038) and hospital beds (156 beds in the LPG vs. 119 beds in the MPG, p < 0.001) per 10,000 population. In the multiple regression analysis, the COVID-19 mortality index was correlated negatively with the number of physicians per hospital bed (β = -0.543, p = 0.024) and positively with the aging rate (β = 0.434, p = 0.032) in the LPG, with nonsignificant correlations in the MPG.
Conclusions:
The data may suggest a need of improvement in the distribution of physicians and hospital beds in the healthcare system in regions with smaller and older populations to reduce the rate of COVID-19.
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