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Enhancing the Medical Expenditure Panel Survey (MEPS) for Cancer Survivorship Research

Enhancing the Medical Expenditure Panel Survey (MEPS) for Cancer Survivorship Research
加强癌症生存研究的医疗支出小组调查 (MEPS)
批准号:
10951815
负责人:
金额:
$26.82万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:

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中文摘要
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英文摘要
The purpose of this agreement is for the National Cancer Institute (NCI) to provide financial support to the Agency for Healthcare Research and Quality (AHRQ) for the Medical Expenditure Panel Survey (MEPS). This project is a collaborative effort between the NCI, the Centers for Disease Control and Prevention (CDC), the Office of Behavioral and Social Science Research (OBSSR) of the National Institutes of Health, the Agency for Healthcare Research and Quality (AHRQ), and the American Cancer Society (ACS). A direct citation was completed between OBSSR and NCI. An NIH gift fund was established for ACS funds. The Medical Expenditure Panel Survey (MEPS) is nationally representative survey of the civilian non-institutionalized population in the United States conducted by AHRQ. The MEPS collects comprehensive data on health care and health care expenditures over a two-year period. The NCI, CDC, OBSSR, and ACS collaborated previously with AHRQ to create the MEPS Experiences with Cancer Supplement, which oversampled households with cancer survivors from the prior year National Health Interview Survey and fielded a special survey about economic burden and access to care in cancer survivors. Due to a change in the NHIS sample design, MEPS will not be able to oversample cancer survivors in the 2024 data collection. The current effort will field an updated version of the MEPS Experiences with Cancer Survey in CY2024 starting in FY 2024. The new version of the survey will include most of the same questions as the earlier survey to allow comparisons of trends and will replace some survey items that are now less critical or available from other data sources with new questions on employment impacts and workplace accommodations; survivorship care; social determinants of health; and social isolation and support.
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information