Morillo-Verdugo Ramón, Martínez-Sesmero José Manuel, Lázaro-López Alicia, Sánchez-Rubio Javier, Navarro-Aznárez Herminia, DeMiguel-Cascón Monike
FEA Farmacia Hospitalaria. Hospital Universitario de Valme. AGS Sur de Sevilla, Sevilla..
FEA Farmacia Hospitalaria. Hospital Virgen de la Salud, Toledo..
Farm Hosp. 2017 May 1;41(3):346-356. doi: 10.7399/fh.2017.41.3.10655.
The increasing number of HIV-patients and their complexity makes it necessary to develop risk classification tools to improve the optimization of resources.
To design a risk-stratified model for pharmaceutical care (PC) in HIV-patients.
A cross-sectional, multicenter study. An expert panel was created by Hospital Pharmacist experienced in PC for HIV-patients. The study was designed in 4 phases. The first phase included a review of literature and the development of a summary of the scientific evidence available. According to their score, patients were stratified into three levels of PC. In the second and third phases, a sample of patients was assessed and data information was recorded. The overall analysis also allowed pharmacists to define the actions to be applied at each level of priority.Finally, each stratification model was applied to a new sample of patients to verify their applicability and usefulness. Results: All variables included in the model were weighted in terms of their relative relevance compared to the rest. A sample of 215 patients was evaluated to obtain their score and distribution: Priority-1: score ≥ 32 and 10% of the sample; Priority-2: 18-31.9 and 30%; Priority-3: ≤ 17 and 60%. The PC interventions corresponding to each level of priority were classified into "pharmacotherapeutic monitoring", "training, education and patient tracking" and "coordination of all the healthcare team members".
This study supported the design and adaptation of a selection and stratification model for PC in HIV-patients as a tool to identify those who may benefit from priority intervention.
感染人类免疫缺陷病毒(HIV)的患者数量不断增加,且病情复杂,因此有必要开发风险分类工具,以优化资源配置。
设计一种针对HIV患者药学服务(PC)的风险分层模型。
一项横断面多中心研究。由在HIV患者PC方面经验丰富的医院药师组成专家小组。该研究分为4个阶段进行。第一阶段包括文献综述和现有科学证据总结的制定。根据得分,将患者分为三个PC级别。在第二和第三阶段,对患者样本进行评估并记录数据信息。总体分析还使药师能够确定在每个优先级应采取的行动。最后,将每个分层模型应用于新的患者样本,以验证其适用性和实用性。结果:模型中包含的所有变量均根据其与其他变量的相对相关性进行加权。对215名患者的样本进行评估以获得他们的得分和分布情况:优先级1:得分≥32分且占样本的10%;优先级2:18 - 31.9分且占30%;优先级3:≤17分且占60%。与每个优先级对应的PC干预措施分为“药物治疗监测”、“培训、教育和患者跟踪”以及“所有医疗团队成员的协调”。
本研究支持设计并采用一种针对HIV患者PC服务选择和分层的模型,作为识别可能从优先干预中获益患者的工具。