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Feasibility of Algorithm-Based Clinical Decision Support for Suspected Urinary Tract Infections in Nursing Home Residents
Antibiotics ( IF 4.3 ) Pub Date : 2022-09-20 , DOI: 10.3390/antibiotics11101276
Garrett P New 1 , Arif Nazir 2 , Penny Logan 2 , Christine E Kistler 3, 4
Affiliation  

Urinary tract infections (UTIs) are commonly suspected in nursing home (NH) residents, commonly resulting in antimicrobial prescriptions, even when symptoms are non-specific. To improve the diagnosis and management of suspected UTIs in NH residents, we conducted a pilot test of a paper-based clinical algorithm across NHs in the southern U.S. with ten advanced practice providers (APPs). The paper-based algorithm was modified based on the clinical care needs of our APPs and included antimicrobial treatment recommendations. The APPs found the UTI antimicrobial stewardship and clinical decision support acceptable. The educational sessions and algorithm improved baseline confidence toward UTI diagnosing and treatment. The APPs thought the algorithm was useful and did not negatively impact workload. Feedback from the pilot study will be used to improve the next iteration of the algorithm as we assess its impact on prescribing outcomes.

中文翻译:

基于算法的疗养院居民疑似尿路感染临床决策支持的可行性

疗养院 (NH) 居民通常怀疑尿路感染 (UTI),即使症状没有特异性,通常也会开具抗菌药物处方。为了改善 NH 居民疑似 UTI 的诊断和管理,我们在美国南部的 NH 中与 10 个高级实践提供者 (APP) 对纸质临床算法进行了试点测试。纸质算法根据我们的 APP 的临床护理需求进行了修改,并包含了抗菌治疗建议。APP 发现 UTI 抗菌药物管理和临床决策支持是可以接受的。教育课程和算法提高了对 UTI 诊断和治疗的基线信心。APP 认为该算法很有用,不会对工作量产生负面影响。
更新日期:2022-09-21
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