Espel-Huynh Hallie M, Goldstein Carly M, Finnegan Olivia L, Elwy A Rani, Wing Rena R, Thomas J Graham
Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.
Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
J Technol Behav Sci. 2021 Sep;6(3):515-526. doi: 10.1007/s41347-021-00206-6. Epub 2021 Apr 9.
Online behavioral treatment for obesity produces clinically-meaningful weight losses among many primary care patients. However, some patients experience poor outcomes (i.e., failure to enroll post-referral, poor weight loss, or premature disengagement). This study sought to understand primary care clinicians' perceived utility of a clinical decision support system (CDSS) that would alert clinicians to patients' risk for poor outcome and guide clinician-delivered rescue interventions to reduce risk.
Qualitative formative evaluation was conducted in the context of an ongoing pragmatic clinical trial implementing online obesity treatment in primary care. Interviews were conducted with 14 nurse care managers (NCMs) overseeing patients' online obesity treatment. Interviews inquired about the potential utility of CDSS in primary care, desired alert frequency/format, and priorities for alert types (non-enrollment, poor weight loss, and/or early disengagement). We used matrix analysis to generate common themes across interviews.
Nearly all NCMs viewed CDSS as potentially helpful in clinical practice. Alerts for patients at risk for disengagement were of highest priority, though all alert types were generally viewed as desirable. Regarding frequency and delivery mode of patient alerts, NCMs wanted to balance the need for prompt patient intervention with minimizing clinician burden. Concerns about CDSS emerged, including insufficient time to respond promptly and adequately to alerts and the need to involve other support staff for patients requiring ongoing rescue intervention.
NCMs view CDSS for online obesity treatment as potentially feasible and clinically useful. For optimal implementation in primary care, CDSS must minimize clinician burden and facilitate collaborative care.
肥胖症的在线行为治疗能使许多初级保健患者实现具有临床意义的体重减轻。然而,一些患者治疗效果不佳(即转诊后未登记、体重减轻不理想或过早退出治疗)。本研究旨在了解初级保健临床医生对临床决策支持系统(CDSS)的感知效用,该系统可提醒临床医生注意患者治疗效果不佳的风险,并指导临床医生实施挽救干预措施以降低风险。
在一项正在进行的将在线肥胖症治疗应用于初级保健的实用临床试验背景下进行定性形成性评估。对14名负责监督患者在线肥胖症治疗的护士护理经理(NCM)进行了访谈。访谈询问了CDSS在初级保健中的潜在效用、期望的警报频率/格式以及警报类型(未登记、体重减轻不理想和/或提前退出治疗)的优先级。我们使用矩阵分析来生成访谈中的共同主题。
几乎所有NCM都认为CDSS在临床实践中可能会有帮助。对于有退出治疗风险的患者发出的警报优先级最高,不过所有警报类型总体上都被认为是可取的。关于患者警报的频率和传递方式,NCM希望在及时对患者进行干预的需求与尽量减轻临床医生负担之间取得平衡。对CDSS也出现了一些担忧,包括没有足够时间及时充分地应对警报,以及对于需要持续挽救干预的患者需要让其他支持人员参与进来。
NCM认为用于在线肥胖症治疗的CDSS可能可行且具有临床实用性。为了在初级保健中实现最佳实施,CDSS必须尽量减轻临床医生负担并促进协作护理。