共同决策中的权力不对称与尴尬:预测参与偏好与决策冲突。

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
Karin Antonia Scherer, Björn Büdenbender, Anja K Blum, Britta Grüne, Maximilian C Kriegmair, Maurice S Michel, Georg W Alpers
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引用次数: 0

摘要

背景:共同决策(SDM)是医患互动的黄金标准,然而许多患者并不积极参与医疗咨询,也不愿就自己的健康做出决定。尽管在改进实施方面做出了相当大的努力,但在患者-临床关系和互动中对SDM障碍的研究却很少。为了确定泌尿科患者参与决策的潜在障碍,我们开发了两个评估权力不对称(PA-ME)和医疗遭遇尴尬(EmMed)的新量表。本研究在包括泌尿科患者和非临床参与者的大样本中验证了这两种量表。它进一步检验了这两个因素对患者参与偏好和决策冲突的影响。方法:收集德国一所大学泌尿外科医院的107例泌尿外科患者的资料。患者在临床预约前后分别完成自我报告问卷。此外,250名非临床参与者通过在线研究提供了数据。所有参与者使用PA-ME和EmMed量表对医患关系中的感知权力不对称和他们在医疗环境中的尴尬经历进行评分。泌尿科患者进一步表明他们在会诊前对普通和泌尿科护理决策的参与偏好。之后,他们评估了感知决策冲突的程度。结果:因素分析发现权力不对称和医疗尴尬为单维构念。两份问卷均具有良好的(PA-ME;α = 0.88),分别为优(EmMed;α = 0.95),内部一致性。在泌尿科患者中,较高水平的感知权力不对称预示着较低的一般参与偏好(β = - 0.98, p 2 = 0.14)和较高的决策冲突(β = 0.25, p 2 = 0.07)。然而,在患者中,尴尬在会诊前与一般参与偏好无关(p≥0.5),但会诊后会导致更高的决策冲突(β = 0.39, p 2 = 0.14)。权力不对称和尴尬与泌尿科护理的参与偏好均无显著相关性(p≥0.273)。结论:新仪器具有良好的心理测量特性,值得推荐用于患者权力不对称和尴尬的常规评估。解决这些因素可能有助于减少决策冲突和增加参与偏好。这两个因素都是成功的sdm过程和患者积极参与健康相关决策的先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power asymmetry and embarrassment in shared decision-making: predicting participation preference and decisional conflict.

Background: Shared decision-making (SDM) is the gold standard for patient-clinician interaction, yet many patients are not actively involved in medical consultations and hesitate to engage in decisions on their health. Despite considerable efforts to improve implementation, research on barriers to SDM within the patient-clinician relationship and interaction is scant. To identify potential barriers to urological patients' participation in decision-making, we developed two novel scales assessing power asymmetry (PA-ME) and embarrassment in medical encounters (EmMed). The present study validates both scales in a large sample comprising urological patients and non-clinical participants. It further examines the effects of both factors on participation preferences and decisional conflict among patients.

Methods: Data were collected from 107 urological patients at a university hospital for Urology and Urosurgery in Germany. Patients completed self-report questionnaires before and after their clinical appointments. In addition, 250 non-clinical participants provided data via an online study. All participants rated perceived power asymmetry in the patient-clinician relationship and their experience of embarrassment in medical contexts using the PA-ME and EmMed scales. Urological patients further indicated their participation preference in decisions regarding both general and urological care prior to the consultation. Afterward, they assessed the level of perceived decisional conflict.

Results: Factor analyses yielded power asymmetry and medical embarrassment as unidimensional constructs. Both questionnaires have good (PA-ME; α = 0.88), respectively excellent (EmMed; α = 0.95), internal consistency. Among urological patients, higher levels of perceived power asymmetry predicted lower generic participation preference (β = - 0.98, p <.001, adjusted R2 = 0.14) and higher decisional conflict (β = 0.25, p <.01, adjusted R2 = 0.07). While, in patients, embarrassment was not linked to generic participation preference before the consultation (p ≥.5), it resulted in higher decisional conflict after the consultation (β = 0.39, p <.001, adjusted R2 = 0.14). Neither power asymmetry nor embarrassment were specifically associated with participation preference regarding urological care (p ≥.273).

Conclusions: Given their promising psychometric properties, the new instruments are recommended for routine assessment of power asymmetry and embarrassment among patients. Addressing these factors may be helpful to reduce decisional conflict and increase participation preferences. Both factors are prerequisites for a successful SDM-process and active patient engagement in health-related decisions.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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