前哨节点转移在线风险预测工具对黑色素瘤护理临床决策的影响:混合方法研究

Rehana A. Salam , Serigne N. Lo , Alexander H.R. Varey , Andrew J. Spillane , Michael A. Henderson , Richard A. Scolyer , Victoria J. Mar , John F. Thompson , Robyn P.M. Saw , Alexander C.J. van Akkooi , Jonathan R. Stretch , Alison Button-Sloan , Angela Hong , Rachael L. Morton , Caroline G. Watts , Andrea L. Smith , Anne E. Cust
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引用次数: 0

摘要

背景实施前哨淋巴结活检(SLNB)手术的决策可由风险预测工具指导。我们的目的是调查前哨淋巴结转移在线风险预测工具对临床决策的影响。方法我们在 2022 年 4 月至 2023 年 3 月期间采用在线问卷和半结构式访谈进行了一项混合方法研究。结果61名参与者完成了问卷调查(52名临床医生,包括36名全科医生,其中32人在皮肤癌诊所工作;14名外科医生;9名患者/护理人员)。半数以上的临床医生表示,该工具影响了他们转诊接受 SLNB 手术的患者人数:40%的医生表示转诊人数有所增加,9%的医生表示转诊人数有所减少,33%的医生表示没有变化。超过半数(57%)的患者/护理人员表示,他们与临床医生一起使用风险工具共同做出决策。访谈结果表明,该工具使临床医生对其临床决策更有信心,可以考虑对患者实施或转诊 SLNB。临床医生认为该工具有助于指导有关 SLNB 的讨论。然而,如果风险评分的置信区间较宽,则在解释风险评分时存在不确定性;如果风险评分与临床医生的预期不一致,则在临床决策时存在一些模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of an online risk prediction tool for sentinel node metastasis on clinical decision-making in melanoma care: A mixed methods study

Background

The decision to perform a sentinel lymph node biopsy (SLNB) procedure can be guided by risk prediction tools. We aimed to investigate the impact of an online risk prediction tool for sentinel node metastasis on clinical decision-making.

Methods

We conducted a mixed methods study using an online questionnaire and semi-structured interviews between April 2022 and March 2023. Australian clinicians and patients/carers who were using the Melanoma Institute Australia risk prediction tool were invited to participate.

Results

Sixty-one participants completed the questionnaire (52 clinicians including 36 general practitioners of whom 32 worked at skin cancer clinics; 14 surgeons; and 9 patients/carers). More than half of the clinicians reported that the tool had influenced the number of patients they were referring for SLNB procedures: 40 % reported increased referrals, 9 % reported fewer referrals, and 33 % reported no change. Over half (57 %) of the patient/carer participants reported using the risk tool alongside a clinician for shared decision-making. Interview findings suggested that the tool made clinicians feel more confident in their clinical decision to perform or refer patients for consideration of SLNB. Clinicians found the tool useful in guiding discussions about SLNB. However, there was uncertainty in interpreting risk scores if they had wide confidence intervals and some ambiguity in clinical decision-making if the risk score did not align with the clinician’s expectations.

Conclusion

This online risk prediction tool was acceptable to clinicians and patients/carers, useful for clinical decision-making and led to increased discussion between clinicians and patients regarding the SLNB procedure.
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