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确定执业护士在老年癌症患者护理中的贡献。

Identifying the Contribution of Nurse Practitioners in the Care of Older Adults With Cancer.

作者信息

Coombs Lorinda A, Stephens Caroline

机构信息

University of California, San Francisco.

出版信息

Oncol Nurs Forum. 2019 May 1;46(3):277-282. doi: 10.1188/19.ONF.277-282.

Abstract

OBJECTIVES

To identify the best available dataset that measured the number of nurse practitioners (NPs) and the type of care they provided; patient information, including malignancy type, age, and insurance status; and volume of procedures performed by NPs.

SAMPLE & SETTING: All available national datasets that included patients with cancer and provider types.

METHODS & VARIABLES: Using prespecified consensus-driven criteria, all available administrative datasets were reviewed. The authors evaluated four that met the inclusion criteria.

RESULTS

The authors' analysis identified the Surveillance, Epidemiology, and End Results (SEER) Program linked with Medicare claims dataset as the most appropriate to measure the contribution of NP-provided cancer care to older adults. The Chronic Conditions Data Warehouse was excluded because of the limited number of malignancies included in the data; the SEER-Medicare dataset included all malignancies.

IMPLICATIONS FOR NURSING

Evidence demonstrates that NPs provide an unknown amount of cancer care to older adults. Further research using the SEER-Medicare dataset may yield a solution to the health issue of insufficient oncologists to care for the growing older adult population. Workforce research informs future training needs and influences policymakers' decisions, making secondary data analyses in nursing particularly important.

摘要

目标

确定能衡量执业护士(NP)数量及其提供的护理类型、患者信息(包括恶性肿瘤类型、年龄和保险状况)以及NP所实施手术量的最佳可用数据集。

样本与设置

所有包含癌症患者和医疗服务提供者类型的可用国家数据集。

方法与变量

使用预先确定的基于共识的标准,对所有可用的行政数据集进行审查。作者评估了四个符合纳入标准的数据集。

结果

作者的分析确定,与医疗保险索赔数据集相关联的监测、流行病学和最终结果(SEER)计划最适合衡量NP提供的癌症护理对老年人的贡献。慢性病数据仓库因数据中包含的恶性肿瘤数量有限而被排除;SEER - 医疗保险数据集包含所有恶性肿瘤。

对护理的启示

有证据表明,NP为老年人提供的癌症护理量未知。使用SEER - 医疗保险数据集进行进一步研究可能会为肿瘤医生不足难以照料不断增长的老年人群体这一健康问题找到解决方案。劳动力研究为未来的培训需求提供信息,并影响政策制定者的决策,这使得护理领域的二次数据分析尤为重要。

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