Browsing Han Publications by Author "Lankveld, W.G.J.M. van"

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Negative language use of the physiotherapist in low back pain education impacts anxiety and illness beliefs: A randomised controlled trial in healthy respondents
Linskens, F.G. ; Scheer, E. van der ; Stortenbeker, I. ; Das, E. ; Staal, J.B. ; Lankveld, W.G.J.M. van
2023, Article / Letter to editor (Patient Education and Counseling, vol. 110, (2023))
Limited health literacy in primary care physiotherapy: Does a physiotherapist use techniques to improve communication?
Scheer, E. van der ; Rutten, G. ; Stortenbeker, I. ; Borkent, J.W. ; Klein Swormink, W. ; Das, E. ; Staal, J.B. ; Lankveld, W.G.J.M. van
2023, Article / Letter to editor (Patient Education and Counseling, vol. 109, (2023))
Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care
Knoop, J. ; Lankveld, W.G.J.M. van ; Beijer, L.J. ; Geerdink, F.J.B ; Heymans, M.W. ; Hoogeboom, T.J. ; Hoppenbrouwers, S.J.B.A. ; van Overmeeren, E. ; Soer, R ; Veenhof, C. ; Vissers, K.C.P ; van der Wees, P. J. ; Sappelli, M. ; Staal, J.B. et al. sine al.
2022, Article / Letter to editor (BMC Musculoskeletal Disorders, (2022))Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain and to compare this with current practice and ‘traditional’ prediction modeling. Methods Prognostic cohort-study in primary care physiotherapy. Patients (n = 247) with acute low back pain (≤ one month) consulting physiotherapists were included. Candidate predictors were assessed by questionnaire at baseline and (to capture early recovery) after one and two weeks. Primary outcome was non-recovery after three months, defined as at least mild pain (Numeric Rating Scale > 2/10). Machine learning models to predict non-recovery were developed and internally validated, and compared with two current practices in physiotherapy (STarT Back tool and physiotherapists’ expectation) and ‘traditional’ logistic regression analysis. Results Forty-seven percent of the participants did not recover at three months. The best performing machine learning model showed acceptable predictive performance (area under the curve: 0.66). Although this was no better than a’traditional’ logistic regression model, it outperformed current practice. Conclusions We developed two prognostic models containing partially different predictors, with acceptable performance for predicting (non-)recovery in patients with acute LBP, which was better than current practice. Our prognostic models have the potential of integration in a clinical decision support system to facilitate data-driven, personalized treatment of acute low back pain, but needs external validation first.
Beperkte gezondheidsvaardigheden en fysiotherapie. Begrijpelijk communiceren
Scheer, E. van der ; Lankveld, W.G.J.M. van ; Staal, J.B.
2021, Article / Letter to editor (Fysiopraxis, (2021), pp. 17-19)
Lack of consensus across clinical guidelines regarding the role of psychosocial factors within low back pain care: a systematic review.
Knoop, J. ; Rutten, G. ; Lever, C. ; Leemeijer, J. ; Jong, L.J. de ; Verhagen, A.P. ; Lankveld, W.G.J.M. van ; Staal, J.B.
2021, Article / Letter to editor (Journal of Pain, (2021))It is widely accepted that psychosocial prognostic factors should be addressed by clinicians in their assessment and management of patient suffering from low back pain (LBP). On the other hand, an overview is missing how these factors are addressed in clinical LBP guidelines. Therefore, our objective was to summarize and compare recommendations regarding the assessment and management of psychosocial prognostic factors for LBP chronicity, as reported in clinical LBP guidelines. We performed a systematic search of clinical LBP guidelines (PROSPERO registration number 154730). This search consisted of a combination of previously published systematic review articles and a new systematic search in medical or guideline-related databases. From the included guidelines, we extracted recommendations regarding the assessment and management of LBP which addressed psychosocial prognostic factors (i.e., psychological factors ('yellow flags'), perceptions about the relationship between work and health, ('blue flags'), system or contextual obstacles ('black flags') and psychiatric symptoms ('orange flags')). In addition, we evaluated the level or quality of evidence of these recommendations. In total, we included 15 guidelines. Psychosocial prognostic factors were addressed in 13/15 guidelines regarding their assessment and in 14/15 guidelines regarding their management. Recommendations addressing psychosocial factors almost exclusively concerned 'yellow' or 'black flags', and varied widely across guidelines. The supporting evidence was generally of very low quality. We conclude that in general, clinical LBP guidelines do not provide clinicians with clear instructions about how to incorporate psychosocial factors in LBP care and should be optimized in this respect. More specifically, clinical guidelines vary widely in whether and how they address psychosocial factors, and recommendations regarding these factors generally require better evidence support. This emphasizes a need for a stronger evidence-base underlying the role of psychosocial risk factors within LBP care, and a need for uniformity in methodology and terminology across guidelines. Perspective This systematic review summarized clinical guidelines on low back pain (LBP) on how they addressed the identification and management of psychosocial factors. This review revealed a large amount of variety across guidelines in whether and how psychosocial factors were addressed. Moreover, recommendations generally lacked details and were based on low quality evidence.
Translation, adaptation, validity and reliability of the Dutch version of the 'blue flags' questionnaire
Westerweel, A ; Heerkens, Y.F. ; Oswald, W. ; Sennehed, CP ; Stigmar, K. ; Hees, S.G.M. van ; Lankveld, W.G.J.M. van ; Hutting, N.
2021, Article / Letter to editor (European Journal of Physiotherapy, (2021))Purpose: To translate and culturally adapt the Swedish version of the 'Blue flags' questionnaire into Dutch and to examine the validity and reliability aspects of the Dutch version. Methods: The 'Blue flags' questionnaire was translated and culturally adapted to the Dutch situation. A total of 58 participants filled in the first questionnaire at baseline and 51 participants filled in the second questionnaire sent two weeks later. The data of the participants who filled in the first questionnaire was used to determine internal consistency, structural validity and concurrent validity. The data of the participants who filled in both questionnaires was used to determine test-retest reliability. Results: The internal consistency was good with a Cronbach's alpha of 0.83. The structural validity was satisfactory with a Kaiser-Meyer-Olkin (KMO) test of 0.75 and a significance of p < .001 for the Bartlett's test. Four factors were extracted using principal component analysis (PCA) with varimax rotation with an explained total variance of 70.8%. Spearman's rho for concurrent validity was 0.68 (p < .001). The intraclass correlation coefficient (ICC) for test-retest was 0.80 (p < .001) for the total score. Conclusions: The Dutch version of the 'Blue flags' questionnaire showed good internal consistency, satisfactory structural validity, strong concurrent validity (with mixed item representation results) and strong reliability.
Is Fear of Harm (FoH) in Sports-Related Activities a Latent Trait? The Item Response Model Applied to the Photographic Series of Sports Activities for Anterior Cruciate Ligament Rupture (PHOSA-ACLR)
Lankveld, W.G.J.M. van ; Pat El, R ; Melick, N. van ; Cingel, R. van ; Staal, J.B.
2020, Article / Letter to editor (International Journal of Environmental Research and Public Health, (2020))
The IASP pain curriculum for undergraduate allied health professionals: educators defining competence level using Dublin descriptors
Lankveld, W.G.J.M. van ; Afram, B ; Staal, J.B. ; Sande, W.M.M. van der
2020, Article / Letter to editor (BMC Medical Education, vol. 2020;20(1), (2020))
Towards a consensus on communication skills required for physical therapist students.
Lankveld, W.G.J.M. van ; Lakke, S ; Oosterhaven, J. ; Kinds, E.
2020, Article in monograph or in proceedings (Communication with patients)
Use and perceived added value of patient-reported measurement instruments by physiotherapists treating acute low back pain: a survey study among Dutch physiotherapists
Knoop, J. ; Lankveld, W.G.J.M. van ; Geerdink, G. ; Soer, R ; Staal, J.B.
2020, Article / Letter to editor (BMC Musculoskeletal Disorders, (2020))
Imaging versus no imaging for low back pain: a systematic review, measuring costs, healthcare utilization and absence from work.
Lemmers, G.P.G. ; Lankveld, W.G.J.M. van ; Westert, G.P. ; Wees, Philip van der ; Staal, J.B.
2019, Article / Letter to editor (European Spine Journal, vol. 28, iss. 5, (2019), pp. 937-950)
Cross-cultural adaptation and measurement properties of the Dutch knee self efficacy scale (K-SES)
Lankveld, W.G.J.M. van ; Melick, N. van ; Habets, B. ; Pronk, Y. ; Staal, J.B. ; Cingel, Robert van
2019, Article / Letter to editor (BMC Sports Science, Medicine and Rehabilitation, vol. 7, iss. 11, (2019), pp. 3)

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