未来 10 年韩国泌尿科医生的供需前景预测。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Young Jae Im, Kwanjin Park, Youngho Oh, Jun Hyuk Hong, Sang Don Lee
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引用次数: 0

摘要

目的:本研究旨在通过应用与医疗保健利用相关的各种统计模型,提供估算未来泌尿科医生供需情况所需的基本数据:供应估算使用了多种来源的数据,包括《保健福祉统计年鉴》、韩国医院协会、韩国医学协会和韩国泌尿外科协会。需求估算包括临床和非临床泌尿科医生的数据以及未来人口估算。供应估算采用了进出移动和人口统计方法,而需求估算则采用了卫生职业局模型。供应估算假设包括固定居民配额、特定年龄死亡率、迁移率和退休年龄因素。需求估算假设包括结合临床和非临床泌尿科医生需求,根据与年龄相关的医疗保健使用变化调整人口规模。泌尿科医生的生产力水平是根据实际临床实践量调整为基准年的 100%、90% 和 80%:结果:对需求和供应的估计一致表明,到 2025 年,泌尿科医生将供过于求,随后由于泌尿科医生人口老龄化导致死亡和退休人数增加,预计到 2035 年将出现短缺。如果采用更可靠的模型,如 logit 或 ARIMA(自回归综合移动平均值),这种短缺现象会更加明显,这突出表明未来对泌尿科医生的需求会越来越大:所有估计模型都估计 2025 年前泌尿科医生供过于求,之后由于供应减少而转为供不应求。然而,考虑到潜在的未考虑因素,要想做出准确的预测并采取相应的措施,还需要付出更大的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimated prospects of demand and supply of urologists in Korea over the next 10 years.

Purpose: This study aimed to provide the basic data needed to estimate future urologist supply and demand by applying various statistical models related to healthcare utilization.

Materials and methods: Data from multiple sources, including the Yearbook of Health and Welfare Statistics, Korean Hospital Association, Korean Medical Association, and the Korean Urological Association, were used for supply estimation. Demand estimation incorporated data on both clinical and non-clinical urologists, along with future population estimates. In-and-out moves and demographic methods were employed for supply estimation, while the Bureau of Health Professions model was utilized for demand estimation. Supply estimation assumptions included fixed resident quotas, age-specific death rates, migration rates, and retirement age considerations. Demand estimation assumptions included combining clinical and nonclinical urologist demands, adjusting population size for age-related healthcare usage variations. Urologist productivity was determined by adjusting productivity levels to 100%, 90%, and 80% of the base year based on actual clinical practice volumes.

Results: Estimations of both demand and supply consistently indicate an oversupply of urologists until 2025, followed by an expected shortage by 2035 owing to increased deaths and retirements attributed to the aging urologist population. This shortage becomes more pronounced when employing more reliable models, such as logit or ARIMA (autoregressive integrated moving average), underscoring the growing need for urologists in the future.

Conclusions: All estimation models estimated an oversupply of urologists until 2025, transitioning to a deficit due to reduced supply thereafter. However, considering potential unaccounted factors, greater effort is needed for accurate predictions and corresponding measures.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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