Through the Eyes of Patients: The Effect of Training General Practitioners and Nurses on Perceived Shared Decision-Making Support.

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Medical Decision Making Pub Date : 2024-01-01 Epub Date: 2023-10-24 DOI:10.1177/0272989X231203693
Danique W Bos-van den Hoek, Ellen M A Smets, Rania Ali, Dorien Tange, Hanneke W M van Laarhoven, Inge Henselmans
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Abstract

Purpose: To examine the effects of training general practitioners and nurses in shared decision-making (SDM) support as perceived by cancer patients and survivors.

Design: An innovative, experimental design was adopted that included analogue patients (APs), that is, people who have or have had cancer and who imagine themselves in the position of the actor-patient presented in a video. Each AP assessed a video-recorded simulated consultation of a health care professional (HCP) conducted before or after an SDM support training program. The primary outcome was the APs' perceived SDM support with 13 self-developed items reflecting the perceived patient benefit of SDM support as well as the perceived HCP support behavior. Secondary outcomes included an overall rating of SDM support, AP-reported extent of SDM (CollaboRATE), satisfaction with the communication (Patient Satisfaction Questionnaire), conversation appreciation and helpfulness, as well as decision-making satisfaction and confidence (visual analog scale, 0-100). In addition, patient and HCP characteristics associated with AP-perceived SDM support were examined.

Results: APs (n = 131) did not significantly differentiate trained from untrained HCPs in their perceptions of SDM support nor in secondary outcomes. Agreement between APs' perceptions was poor. The higher the perceived comparability of the consultation with APs' previous personal experiences, the higher their rating of SDM support.

Limitations: We used a nonvalidated primary outcome and an innovative study design that should be tested in future work.

Conclusions: Despite the limitations of the study design, the training seemed to not affect cancer patients' and survivors' perceived SDM support.

Implications: The clinical relevance of the training on SDM support needs to be established. The variation in APs' assessments suggests patients differ in their perception of SDM support, stressing the importance of patient-tailored SDM support.

Highlights: Cancer patients and survivors did not significantly differentiate trained from untrained HCPs when evaluating SDM support, and agreement between their perceptions was poor.The clinical relevance of training GPs and nurses in SDM support needs to be established.Patient-tailored SDM support may be recommended, given the variation in APs' assessments and their possible diverging perceptions of SDM support.This innovative study design (having patients watch and assess videos of simulated consultations made in the context of training evaluation) needs to be further developed.

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从病人的角度看:全科医生和护士培训对感知共同决策支持的影响。
目的:研究癌症患者和幸存者对全科医生和护士进行共享决策(SDM)支持培训的效果。设计:采用了一种创新的实验设计,其中包括模拟患者(AP),即患有或曾经患有癌症的人,他们想象自己处于视频中出现的演员-患者的位置。每个AP评估了在SDM支持培训计划之前或之后对医疗保健专业人员(HCP)进行的视频模拟咨询。主要结果是AP感知到的SDM支持,其中13个项目反映了感知到的患者SDM支持的益处以及感知到的HCP支持行为。次要结果包括SDM支持的总体评分、AP报告的SDM程度(CollaboRATE)、对沟通的满意度(患者满意度问卷)、谈话欣赏和乐于助人,以及决策满意度和信心(视觉模拟量表,0-100)。此外,还检查了与AP感知的SDM支持相关的患者和HCP特征。结果:AP(n = 131)在对SDM支持的感知和次要结果方面都没有显著区分受过训练的HCP和未受过训练的DHCP。受影响者的认知一致性较差。咨询与AP以前的个人经历的可比性越高,他们对SDM支持的评分就越高。局限性:我们使用了一个未经验证的主要结果和一个创新的研究设计,应该在未来的工作中进行测试。结论:尽管研究设计存在局限性,但训练似乎不会影响癌症患者和幸存者对SDM支持的感知。影响:需要确定SDM支持培训的临床相关性。AP评估的差异表明,患者对SDM支持的感知不同,强调了患者量身定制的SDM支持的重要性。要点:癌症患者和幸存者在评估SDM支持时,没有显著区分受过训练的HCP和未经训练的HCPs,他们的认知一致性较差。需要确定在SDM支持方面培训全科医生和护士的临床相关性。考虑到AP评估的差异以及他们对SDM支持可能存在的不同看法,可以建议患者定制SDM支持。这种创新的研究设计(让患者观看和评估在培训评估背景下制作的模拟会诊视频)需要进一步发展。
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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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