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Assessment of clinical workload for general and specialty genetic counsellors at an academic medical center: a tool for evaluating genetic counselling practices

机译:在学术医学中心评估普通和专业遗传咨询师的临床工作量:评估遗传咨询实践的工具

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摘要

With genomics influencing clinical decisions, genetics professionals are exponentially called upon as part of multidisciplinary care. Increasing demand for genetic counselling, a limited workforce, necessitates practices improve efficiency. We hypothesised that distinct differences in clinical workload exist between various disciplines of genetic counselling, complicating practice standardisation and patient volume expectations. We thus sought to objectively define and assess workload among various specialties of genetic counselling. Twelve genetic counsellors (GCs), representing 9.3 clinical FTE, in general or specialty (cancer, cardiovascular or prenatal) services at an academic health system developed a data collection tool for assessing time and complexity. Over a 6-week period, the data were recorded for 583 patient visits (136 general and 447 specialty) and analysed comparing general versus specialty GCs. Variables were compared with hierarchical linear models for ordinal or continuous data and hierarchical logistic models for binary data. General GCs completed more pre- and post-visit activities (P=0.011) and spent more time (P=0.009) per case. General GCs reported greater case discussion with other providers (P<0.001), literature review (P=0.026), exploring testing options (P=0.041), electronic medical record review (P=0.040), insurance preauthorization (P=0.05) and fielding patient inquiries (P=0.003). Lesser redundancy in referral indication was observed by general GCs. GCs in general practice carry a higher pre- and post-visit workload compared with GCs in specialty practices. General GCs may require lower patient volumes than specialty GCs to allow time for additional pre- and post-visit activities. Non-clinical activities should be transferred to support staff.
机译:随着基因组学影响临床决策,作为多学科护理的一部分,遗传学专业人员被指数化地呼吁。对基因咨询的需求不断增加,劳动力有限,因此必须提高实践效率。我们假设遗传咨询的各个学科之间在临床工作量上存在明显差异,这使实践标准化和患者数量预期变得复杂。因此,我们寻求客观地定义和评估遗传咨询各个专业之间的工作量。在学术卫生系统的一般或专科(癌症,心血管或产前)服务中,代表9.3临床FTE的十二位遗传咨询师(GC)开发了一种用于评估时间和复杂性的数据收集工具。在6周的时间内,记录了583位患者就诊的数据(136位普通患者和447位专科患者),并进行了比较,对比了普通GC和专科GC。将变量与用于序数或连续数据的分层线性模型以及用于二进制数据的分层逻辑模型进行比较。一般情况下,GC会完成更多的访前和访视活动(P = 0.011),每个案例花费更多的时间(P = 0.009)。通用GC报告与其他提供者进行的案例讨论更多(P <0.001),文献综述(P = 0.026),探索测试选项(P = 0.041),电子病历复审(P = 0.040),保险预授权(P = 0.05)和现场询问患者(P = 0.003)。普通GC观察到转诊指示中的冗余度较小。与专业实践中的GC相比,一般实践中的GC承担更高的访问前和访问后工作量。普通GC可能需要比专业GC更低的患者数量,以便有时间进行其他的出诊前和出诊活动。非临床活动应转移给支持人员。

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