Background. Algo is an integrated knowledge translation (IKT)-based algorithm for supporting occupational therapists (OTs) with skill mix for selecting bathing equipment. While IKT approaches are increasingly valued in implementation science, their benefits with respect to the utilization of knowledge in clinical settings are scarcely documented. Purpose. To identify Algo's level of utilization and the characteristics associated with its level of utilization. Method. A cross-sectional correlational study was conducted with OTs working in homecare services (HCS) through an online survey based on Knott and Wildavsky's classification and the Promoting Action on Research Implementation in Health Services (PARIHS) framework. Findings. Almost half (48%) of the OTs surveyed (n = 125; participation rate: 16%) reached one of the seven levels of utilization. While Evidence characteristics are perceived as facilitators to its utilization, Context statements indicate an unfavorable organizational climate to the implementation of change. Implications. Strategies should target additional stakeholders (e.g., HCS managers) and organizational adjustments in HCS to sustain Algo's utilization.

背景。Algo 是一种基于集成知识翻译 (IKT) 的算法，用于支持职业治疗师 (OT) 的技能组合以选择沐浴设备。虽然 IKT 方法在实施科学中越来越受到重视，但它们在临床环境中利用知识方面的好处却鲜有记载。目的。识别 Algo 的使用水平以及与其使用水平相关的特征。方法。通过基于 Knott 和 Wildavsky 的分类以及卫生服务研究实施促进行动( PARIHS ) 框架的在线调查，对从事家庭护理服务 (HCS) 的 OT 进行了一项横断面相关性研究。发现。几乎一半 (48%) 接受调查的 OT（n = 125；参与率：16%）达到了七个利用率水平之一。虽然证据特征被认为是其利用的促进因素，但背景陈述表明了对实施变革不利的组织氛围。影响。策略应针对额外的利益相关者（例如，HCS 经理）和 HCS 的组织调整，以维持 Algo 的利用率。