Background: Differences in professional practice might hinder initiation of student participation during international placements, and thereby limit workplace learning. This study explores how healthcare students overcome differences in professional practice during initiation of international placements. Methods: Twelve first-year physiotherapy students recorded individual audio diaries during the first month of international clinical placement. Recordings were transcribed, anonymized, and analyzed following a template analysis approach. Team discussions focused on thematic interpretation of results. Results: Students described tackling differences in professional practice via ongoing negotiations of practice between them, local professionals, and peers. Three themes were identified as the focus of students’ orientation and adjustment efforts: professional practice, educational context, and individual approaches to learning. Healthcare students’ initiation during international placements involved a cyclical process of orientation and adjustment, supported by active participation, professional dialogue, and self-regulated learning strategies.Conclusions: Initiation of student participation during international placements can be supported by establishing a continuous dialogue between student and healthcare professionals. This dialogue helps align mutual expectations regarding scope of practice, and increase understanding of professional and educational practices. Better understanding, in turn, creates trust and favors meaningful students’ contribution to practice and patient care.
Objective: To determine the construct validity, criterion validity, and responsiveness of measurement instruments evaluating scapular function. Design: Systematic review of measurement properties. Literature Search: The MEDLINE, Embase, CINAHL, and SPORTDiscus databases were systematically searched from inception until March 2019. Study Selection Criteria: Studies published in Dutch, English, or German were included when they evaluated at least 1 of the measurement properties of interest. No restrictions were made regarding participants' health status. Data Synthesis: Two reviewers independently evaluated study quality using the COSMIN checklist and extracted and analyzed data. Quality of evidence was graded by measurement property for each distinctive type of measurement. Results: Thirty-one measurement instruments in 14 studies were categorized into instruments to measure scapular posture and movement, and to assess scapular dyskinesis. Quality of evidence was at most moderate for 4 instruments with respect to criterion validity. Of these, criterion validity for instruments measuring scapular protraction/retraction posture and rotation angles up to 120° of thoracohumeral elevation was sufficient. Criterion validity for instruments measuring asymmetrical scapular posture, range of motion, and the lateral scapular slide test was insufficient. Quality of evidence for measurement properties of all other instruments was graded lower. Conclusion: There is currently insufficient evidence to recommend any instrument for the clinical examination of scapular function. Measurement instruments to assess scapular dyskinesis are prone to misinterpretation and should therefore not be used as such.
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Objective Primary to provide an overview of diagnostic accuracy for clinical tests for common elbow (sport) injuries, secondary accompanied by reproducible instructions to perform these tests. Design A systematic literature review according to the PRISMA statement. Data sources A comprehensive literature search was performed in MEDLINE via PubMed and EMBASE. Eligibility criteria We included studies reporting diagnostic accuracy and a description on the performance for elbow tests, targeting the following conditions: distal biceps rupture, triceps rupture, posteromedial impingement, medial collateral ligament (MCL) insufficiency, posterolateral rotatory instability (PLRI), lateral epicondylitis and medial epicondylitis. After identifying the articles, the methodological quality was assessed using the QUADAS-2 checklist. Results Our primary literature search yielded 1144 hits. After assessment 10 articles were included: six for distal biceps rupture, one for MCL insufficiency, two for PLRI and one for lateral epicondylitis. No articles were selected for triceps rupture, posteromedial impingement and medial epicondylitis. Quality assessment showed high or unclear risk of bias in nine studies. We described 24 test procedures of which 14 tests contained data on diagnostic accuracy. Conclusions Numerous clinical tests for the elbow were described in literature, seldom accompanied with data on diagnostic accuracy. None of the described tests can provide adequate certainty to rule in or rule out a disease based on sufficient diagnostic accuracy.
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Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.