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奥地利合格物理治疗师根据临床病例做出准确的保留-转诊决策并检测严重病理状况的能力:基于网络的横断面调查方案。

The Ability of Austrian Qualified Physiotherapists to Make Accurate Keep-Refer Decisions and to Detect Serious Pathologies Based on Clinical Vignettes: Protocol for a Cross-sectional Web-Based Survey.

作者信息

Lackenbauer Wolfgang, Gasselich Simon, Lickel Martina Edda, Beikircher Reinhard, Keip Christian, Rausch Florian, Wieser Manfred, Selfe James, Janssen Jessie

机构信息

Institute of Therapeutic and Midwifery Sciences, Department of Health Sciences, University of Applied Sciences Krems, Krems, Austria.

Karl Landsteiner University, Krems, Austria.

出版信息

JMIR Res Protoc. 2023 Jan 24;12:e43028. doi: 10.2196/43028.

DOI:10.2196/43028
PMID:36692940
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9906318/
Abstract

BACKGROUND

The recognition of serious pathologies affecting the musculoskeletal (MSK) system, especially in the early stage of a disease, is an important but challenging task. The prevalence of such serious pathologies is currently low. However, in our progressing aging population, it is anticipated that serious pathologies affecting the MSK system will be on the rise. Physiotherapists, as part of a wider health care team, can play a valuable role in the recognition of serious pathologies. It is at present unknown how accurately Austrian qualified physiotherapists can detect the presence of serious pathologies affecting the MSK system and therefore determine whether physiotherapy management is indicated (keep patients) or not (refer patients to a medical doctor).

OBJECTIVE

We will explore the current ability of Austrian qualified physiotherapists to recognize serious pathologies by using validated clinical vignettes.

METHODS

As part of an electronic web-based survey, these vignettes will be distributed among a convenience sample of qualified Austrian physiotherapists working in a hospital or private setting. The survey will consist of four sections: (1) demographics and general information, (2) the clinical vignettes, (3) questions concerning the clinical vignettes, and (4) self-perceived knowledge gaps and learning preferences from the perspective of study participants. Results will further be used for (1) international comparison with similar studies from the existing literature and (2) gaining insight into the participants' self-perceived knowledge gaps and learning preferences for increasing their knowledge level about keep-refer decision-making and detecting serious pathologies.

RESULTS

Data collection took place between May 2022 and June 2022. As of June 2022, a total of 479 Austrian physiotherapists completed the survey. Data analysis has started, and we aim to publish the results in 2023.

CONCLUSIONS

The results of this survey will provide insights into the ability of Austrian physiotherapists to make accurate keep-refer decisions and to recognize the presence of serious pathologies using clinical vignettes. The results of this survey are expected to serve as a basis for future training in this area.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/43028.

摘要

背景

识别影响肌肉骨骼(MSK)系统的严重病症,尤其是在疾病的早期阶段,是一项重要但具有挑战性的任务。此类严重病症目前的患病率较低。然而,在人口老龄化进程中,预计影响MSK系统的严重病症将会增加。作为更广泛医疗团队的一部分,物理治疗师在识别严重病症方面可发挥重要作用。目前尚不清楚奥地利合格的物理治疗师在检测影响MSK系统的严重病症方面的准确程度,因此也不确定是否需要进行物理治疗管理(留住患者)或不需要(将患者转介给医生)。

目的

我们将通过使用经过验证的临床病例 vignettes 来探索奥地利合格物理治疗师当前识别严重病症的能力。

方法

作为基于网络的电子调查的一部分,这些病例 vignettes 将分发给在医院或私人机构工作的奥地利合格物理治疗师的便利样本。该调查将包括四个部分:(1)人口统计学和一般信息,(2)临床病例 vignettes,(3)关于临床病例 vignettes 的问题,以及(4)从研究参与者角度的自我认知知识差距和学习偏好。结果将进一步用于(1)与现有文献中类似研究的国际比较,以及(2)深入了解参与者的自我认知知识差距和学习偏好,以提高他们关于留用 - 转介决策和检测严重病症的知识水平。

结果

数据收集于2022年5月至2022年6月期间进行。截至2022年6月,共有479名奥地利物理治疗师完成了调查。数据分析已开始,我们的目标是在2023年公布结果。

结论

本次调查的结果将深入了解奥地利物理治疗师使用临床病例 vignettes 做出准确的留用 - 转介决策和识别严重病症存在的能力。预计本次调查的结果将作为该领域未来培训的基础。

国际注册报告标识符(IRRID):DERR1 - 10.2196/43028 。

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