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
BackgroundThe 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 popula...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2023-01-01
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| Series: | JMIR Research Protocols |
| Online Access: | https://www.researchprotocols.org/2023/1/e43028 |
| _version_ | 1797734454909730816 |
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| author | Wolfgang Lackenbauer Simon Gasselich Martina Edda Lickel Reinhard Beikircher Christian Keip Florian Rausch Manfred Wieser James Selfe Jessie Janssen |
| author_facet | Wolfgang Lackenbauer Simon Gasselich Martina Edda Lickel Reinhard Beikircher Christian Keip Florian Rausch Manfred Wieser James Selfe Jessie Janssen |
| author_sort | Wolfgang Lackenbauer |
| collection | DOAJ |
| description |
BackgroundThe 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).
ObjectiveWe will explore the current ability of Austrian qualified physiotherapists to recognize serious pathologies by using validated clinical vignettes.
MethodsAs 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.
ResultsData 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.
ConclusionsThe 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 |
| first_indexed | 2024-03-12T12:44:18Z |
| format | Article |
| id | doaj.art-3c063009b9c648d6843c2bee6005fc23 |
| institution | Directory Open Access Journal |
| issn | 1929-0748 |
| language | English |
| last_indexed | 2024-03-12T12:44:18Z |
| publishDate | 2023-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Research Protocols |
| spelling | doaj.art-3c063009b9c648d6843c2bee6005fc232023-08-28T23:29:06ZengJMIR PublicationsJMIR Research Protocols1929-07482023-01-0112e4302810.2196/43028The 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 SurveyWolfgang Lackenbauerhttps://orcid.org/0000-0002-7469-7950Simon Gasselichhttps://orcid.org/0000-0002-2442-7442Martina Edda Lickelhttps://orcid.org/0000-0003-1687-475XReinhard Beikircherhttps://orcid.org/0000-0002-5341-689XChristian Keiphttps://orcid.org/0000-0002-5758-0136Florian Rauschhttps://orcid.org/0000-0002-0340-6685Manfred Wieserhttps://orcid.org/0000-0001-6216-2396James Selfehttps://orcid.org/0000-0001-9931-4998Jessie Janssenhttps://orcid.org/0000-0002-5961-2736 BackgroundThe 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). ObjectiveWe will explore the current ability of Austrian qualified physiotherapists to recognize serious pathologies by using validated clinical vignettes. MethodsAs 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. ResultsData 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. ConclusionsThe 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)DERR1-10.2196/43028https://www.researchprotocols.org/2023/1/e43028 |
| spellingShingle | Wolfgang Lackenbauer Simon Gasselich Martina Edda Lickel Reinhard Beikircher Christian Keip Florian Rausch Manfred Wieser James Selfe Jessie Janssen 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 JMIR Research Protocols |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | https://www.researchprotocols.org/2023/1/e43028 |
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