对于患有固体或血液性瘤的瘤患者的药物护理的风险分层模型
Beatriz Bernardez1, Irene Mangues-Bafalluy2, Virginia Martínez Callejo3
1Departamento de Medicina, Universidad de Santiago de Compostela, Santiago, Spain; Unidad de Farmacia Oncológica, Servicio de Farmacia, Hospital Clínico, Universitario de Santiago de Compostela, Santiago, Spain; Grupo de Farmacología, Instituto de Investigación Santiago de Compostela (IDIS), Santiago, Spain.
概括
一种新的风险分层模型有助于识别需要密集药物护理的癌症患者. 这种工具有助于优化接受抗瘤药物治疗的瘤患者的护理能力.
科学领域:
- 瘤学 药房 药房
- 医疗保健管理的管理
- 患者的分层是患者的分层.
背景情况:
- 癌症患者的药物护理是复杂的.
- 需要有效的风险分层来优化资源配置.
- 现有的模型可能无法充分满足服用抗瘤剂的患者的特定需求.
研究的目的:
- 开发一种风险分层模型,用于固体或血液瘤患者的药物护理.
- 识别需要密集药物护理的患者.
- 为了促进基于患者风险的护理能力的调整.
主要方法:
- 来自西班牙医院药学协会 (SEFH) 的瘤药剂师的合作开发.
- 通过研讨会和199名患者的试点研究来改进.
- 利用基于22个变量的模型,跨越4个维度,分为3个优先级.
主要成果:
- 该模型包括人口,社会/健康,临床和治疗相关的变量.
- 确定了优先级级别和截止点:优先级1 (≥28),优先级2 (16-27),优先级3 (<16).
- 临床和与治疗相关的维度对总得分贡献了80%以上.
结论:
- 开发的模型有效地识别了需要更高水平的药物护理的癌症患者.
- 该模型支持调整制药护理能力.
- 建议在代表性人群中进一步验证以确认有效性.
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