医院癌症注册表的工作量和人员研究
Susan A Chapman1, Laurie Hailer1, Jacqueline Miller1
1University of California San Francisco, San Francisco, California.
Journal of registry management
|July 14, 2025
概括
尽管预算增加了职位,但医院癌症登记处面临着人事挑战. 调查结果显示,需要更多的全职同等职位 (FTEs) 和更新的培训,以满足不断增长的案件量并防止倦怠.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 癌症登记管理管理 癌症登记管理
- 劳动力研究 劳动力研究
背景情况:
- 之前的研究已经为医院癌症登记处制定了工作量和人员指导方针.
- 自从之前的研究以来,癌症注册表运营和劳动力需求的格局已经发生了变化.
研究的目的:
- 更新医院癌症登记处的工作量和人员准则.
- 评估当前的员工水平,确定劳动力挑战,并预测未来的需求.
主要方法:
- 在线调查分发给医院注册领导和癌症注册工作人员.
- 调查后的采访与11位主题专家进行了采访.
- 分析了来自237个注册中心领先调查和290个癌症注册员调查的数据.
主要成果:
- 从2019年到2022年,预算中的全职等效 (FTEs) 增加了22%,但充满的FTEs略有下降.
- 近一半的注册员工需要额外的数据分析培训;招聘和薪酬是主要问题.
- 员工模型表明,对于单一机构的注册表,每1000个案例需要1.8-2.1个全职工作时间,对于多机构的注册表,每1000个案例需要1.6-1.9个全职工作时间.
结论:
- 癌症登记员工面临着重大挑战,包括空缺,倦怠和保留问题,这些问题是由低薪和缺乏认可所驱动的.
- 技术进步将重塑,而不是取代注册员的角色,可能会在数据分析和实时报告方面创造专业职位.
- 更新的人员配置模式和专注于专业发展对于癌症登记处工作人员的可持续性和未来至关重要.
相关概念视频
01:21Cancer Survival Analysis
456
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
456
01:25Statistical Methods for Analyzing Epidemiological Data
540
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
540
01:20Comparing the Survival Analysis of Two or More Groups
292
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
292
01:12Hazard Ratio
257
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
257