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

Author:

Lackenbauer WolfgangORCID,Gasselich SimonORCID,Lickel Martina EddaORCID,Beikircher ReinhardORCID,Keip ChristianORCID,Rausch FlorianORCID,Wieser ManfredORCID,Selfe JamesORCID,Janssen JessieORCID

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

Publisher

JMIR Publications Inc.

Subject

General Medicine

Reference39 articles.

1. Directorate-General for Economic and Financial Affairs, Economic Policy CommitteeThe 2021 Ageing Report: underlying assumptions and projection methodologies (Institutional Paper 142)European Commission2022-12-14https://economy-finance.ec.europa.eu/publications/2021-ageing-report-underlying-assumptions-and-projection-methodologies_en

2. Sozialversicherung ebnet den Weg für die neue Primärversorgung den Weg für die neue PrimärversorgungHauptverband österreichischer Sozialversicherungsträger20192022-03-30https://www.ots.at/presseaussendung/OTS_20190409_OTS0184/sozialversicherung-ebnet-den-weg-fuer-die-neue-primaerversorgung

3. Musculoskeletal conditionsWorld Health Organisation20192022-03-30https://tinyurl.com/ms8deenk

4. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

5. The prevalence of serious pathology in musculoskeletal physiotherapy patients – a nationwide register-based cohort study

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3