患者和外科医生对集成到外科实践中的共享决策的自动化、实时监测和反馈的大规模系统的看法:一项定性研究。

IF 2.4 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Christin Hoffmann, Kerry N L Avery, Rhiannon C Macefield, Val Snelgrove, Leila Rooshenas, Hilary L Bekker, Della Hopkins, Christie Cabral, Jane M Blazeby, Ben Gibbison, Shireen Hickey, Adam Williams, Jon Aning, Andrew Judge, Andrew Smith, Archana Lingampalli, Barnaby Reeves, Jessica Preshaw, Michael R Whitehouse, Paul Cresswell, Philip Braude, Shelley Potter, Timothy Beckitt, Timothy Whittlestone, Angus G K McNair
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引用次数: 0

摘要

目的:探讨患者和医疗保健专业人员对集成到外科护理路径中的大规模共享决策(SDM)自动实时监测和反馈系统的可接受性和影响的看法。设计:在2021年6月至11月期间对患者和医疗保健专业人员进行定性、半结构化访谈。数据分析使用演绎和归纳的方法。设置:SDM的大规模监测已被整合到NHS外科护理跨越两个大型英国国家卫生服务信托基金。参与者:使用SDM实时监测和反馈系统的成年外科患者(N=18, 56%女性)和参与其手术护理的医疗保健专业人员(N=14, 36%女性)。通过医院研究护士和研究团队的专业人员直接招募患者,有目的地从七个外科专科(普通外科、血管外科、泌尿外科、骨科、乳房外科、妇科和急诊心脏外科)中抽取样本。结果:在三个探索领域中确定了10个主题,这些主题描述了支撑因素:(1)大规模自动化实时监测SDM经验的可接受性;(2)实时反馈和解决SDM缺陷的可接受性;(3)实时监测和反馈的影响。人们普遍支持实时监测和反馈,因为人们认为实时监测和反馈能够有效地解决手术患者在大规模SDM体验中的缺陷,并且对患者、外科医生和更广泛的组织都有好处。对两个利益相关者群体确定了可能影响大规模自动化实时监测和反馈可接受性的因素,例如,调查时间对患者报告的SDM评分的影响、疾病特异性风险、患者对医院流程的不满。对患者特别重要的因素包括对电子实时监测加剧的数字排斥的担忧。专业人员特有的因素包括需要详细的、定性的SDM反馈,以将患者报告的SDM评分纳入背景。结论:本研究探讨了影响关键利益相关者将SDM患者体验的自动化、实时监测和反馈整合到外科实践中的可接受性的因素。研究结果将用于指导改进和实施SDM监测和反馈,然后在NHS中正式开发、评估和实施SDM干预。试验注册号:ISRCTN17951423。原始协议:doi: 10.1136/bmjopen-2023-079155。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patient and surgeon perspectives of a large-scale system for automated, real-time monitoring and feedback of shared decision-making integrated into surgical practice: a qualitative study.

Objective: To explore patient and healthcare professional perceptions about the acceptability and impact of a large-scale system for automated, real-time monitoring and feedback of shared decision-making (SDM) that has been integrated into surgical care pathways.

Design: Qualitative, semistructured interviews were conducted with patients and healthcare professionals between June and November 2021. Data were analysed using deductive and inductive approaches.

Setting: Large-scale monitoring of SDM has been integrated in NHS surgical care across two large UK National Health Service Trusts.

Participants: Adult surgical patients (N=18, 56% female), following use of an SDM real-time monitoring and feedback system, and healthcare professionals (N=14, 36% female) involved in their surgical care. Patient recruitment was conducted through hospital research nurses and professionals by direct approach from the study team to sample individuals purposively from seven surgical specialties (general, vascular, urology, orthopaedics, breast, gynaecology and urgent cardiac).

Results: 10 themes were identified within three areas of exploration that described factors underpinning: (1) the acceptability of large-scale automated, real-time monitoring of SDM experiences, (2) the acceptability of real-time feedback and addressing SDM deficiencies and (3) the impact of real-time monitoring and feedback. There was general support for real-time monitoring and feedback because of its perceived ability to efficiently address deficiencies in surgical patients' SDM experience at scale, and its perceived benefits to patients, surgeons and the wider organisation. Factors potentially influencing acceptability of large-scale automated, real-time monitoring and feedback were identified for both stakeholder groups, for example, influence of survey timing on patient-reported SDM scores, disease-specific risks, patients' dissatisfaction with hospital processes. Factors particularly important for patients included concerns over digital exclusion exacerbated by electronic real-time monitoring. Factors unique to professionals included the need for detailed, qualitative feedback of SDM to contextualise patient-reported SDM scores.

Conclusions: This study explored factors influencing the acceptability of automated, real-time monitoring and feedback of patients' experiences of SDM integrated into surgical practice, at scale among key stakeholders. Findings will be used to guide refinement and implementation of SDM monitoring and feedback prior to formal development, evaluation and implementation of an SDM intervention in the NHS.

Trial registration number: ISRCTN17951423. THE ORIGINAL PROTOCOL: doi: 10.1136/bmjopen-2023-079155.

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来源期刊
BMJ Open
BMJ Open MEDICINE, GENERAL & INTERNAL-
CiteScore
4.40
自引率
3.40%
发文量
4510
审稿时长
2-3 weeks
期刊介绍: BMJ Open is an online, open access journal, dedicated to publishing medical research from all disciplines and therapeutic areas. The journal publishes all research study types, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Publishing procedures are built around fully open peer review and continuous publication, publishing research online as soon as the article is ready.
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