CANCER SURVEILLANCE USING HEALTH CLAIMS BASED DATA

使用基于健康索赔的数据进行癌症监测

• 批准号: 2010132
• 负责人: ALEXANDER M MCBEAN
• 金额: $ 33.91万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-06-17 至 2000-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2010132
• 关键词: Medicare /Medicaid; behavioral /social science research tag; cancer information system; cancer prevention; computer program /software; computer system design /evaluation; data collection methodology /evaluation; health care service evaluation; human data; human old age (65+); human therapy evaluation; mathematical model; medical records; neoplasm /cancer classification /staging; neoplasm /cancer diagnosis; neoplasm /cancer epidemiology; neoplasm /cancer therapy; outcomes research; statistics /biometry

Broad Objectives: to develop, evaluate, and test the utility of Medicare and Department of Veterans Affairs (VA) claims-based data to create a high quality National Cancer Surveillance System (NCSS) for the elderly U.S. population. Specific Aims: 1) Development--combine administrative data from Medicare and the VA for 12 important cancers; 2) Evaluation-- compare the quality of the data regarding incidence and stage of cancer at diagnosis in the NCSS with the same information reported by the SEER program in 1993; and 3) Utilization--(a) develop and analyze national incident rates for 12 cancers, as well as state specific rates, (b) describe treatment patterns for three cancer sites, and (3) model treatment outcomes for one cancer site. Relevance: Currently there is no uniform national system for reporting cancer incidence and stage of cancer at diagnosis. Such information would be extremely valuable for the planning and evaluation of cancer prevention and control interventions, as well as describing and evaluating treatment. Research Design: Medicare and Va administration data from 1989 to the present will be combined to create incident rates and determine the stage of cancer for elderly Medicare beneficiaries. The sensitivity, specificity and positive predictive values of the NCSS data will be determined using linked SEER-Medicare files. Treatment patterns for three cancers will be described using multinominal probit equations, and a model developed to describe treatment outcomes for one of them using OLS regression and/or Cox proportional hazards techniques.

广泛的目标：开发，评估和测试 Medicare和退伍军人事务部（VA）索赔 数据以创建高质量的国家癌症监视系统 （NCSS）适用于美国老年人。 具体目的：1）开发 - 合并的管理数据 Medicare和VA的12种重要癌症； 2）评估 - 比较有关发生率和阶段的数据质量 NCSS诊断时具有相同信息的癌症 Seer计划于1993年报告； 3）利用 - （a） 开发和分析12种癌症的国家事件率 作为州特定的速率，（b）描述三个的治疗模式 癌症部位和（3）一个癌症的模型治疗结果 地点。 相关性：目前尚无统一的国家体系 报告诊断时癌症发病率和癌症阶段。 这样的 信息对于规划和 评估癌症预防和控制干预措施 描述和评估治疗。 研究设计：1989年的Medicare和VA管理数据 现在将合并以创建事件率，并 确定老年医疗保险受益人的癌症阶段。 敏感性，特异性和积极的预测值 NCSS数据将使用链接的Seer-Medicare文件确定。 将使用三种癌症的治疗模式 多基因概率方程和开发的模型来描述 其中一个使用OLS回归和/或的治疗结果 考克斯比例危害技术。