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Evidence-Based Clinical Algorithm for Hypotonia Assessment: To Pardon the Errs
Joint Authors
Govender, Pragashnie
Joubert, Robin Wendy Elizabeth
Source
Occupational Therapy International
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Despite the many advances in diagnostics, the clinical assessment of children with hypotonia presents a diagnostic challenge for clinicians due to the current subjectivity of the initial clinical assessment.
The aim of this paper is to report on an evidence-based clinical algorithm (EBCA) that was developed for the clinical assessment of hypotonia in children as part of the output of a multiphased study towards assisting clinicians in more accurate assessments.
This study formed part of a larger advanced mixed methods design.
The preceding phases of the study included a systematic review, a survey amongst clinicians, a consensus process (Delphi technique), and a qualitative critique with multiple focus groups.
Samples were drawn from three professional groups (occupational therapists, physiotherapists, and paediatricians).
Data were analysed at each stage and merged in the development of the EBCA.
The EBCA followed a rigorous process of development and critique.
The methods for formulating changes in the revision and development of the EBCA are presented together with a description and presentation of the final algorithm for practice.
The overarching concepts that guided the development and refinement of the EBCA are described, taking into consideration knowledge translation, evidence-based practice, and the value of EBCAs in addition to recommendations for stakeholder uptake.
The EBCA is envisaged to be useful in practice for clinicians who are faced with the assessment of a child that is suspected as having hypotonia via a systematic process in identifying specific characteristics that are associated with low muscle tone.
American Psychological Association (APA)
Govender, Pragashnie& Joubert, Robin Wendy Elizabeth. 2018. Evidence-Based Clinical Algorithm for Hypotonia Assessment: To Pardon the Errs. Occupational Therapy International،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1212438
Modern Language Association (MLA)
Govender, Pragashnie& Joubert, Robin Wendy Elizabeth. Evidence-Based Clinical Algorithm for Hypotonia Assessment: To Pardon the Errs. Occupational Therapy International No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1212438
American Medical Association (AMA)
Govender, Pragashnie& Joubert, Robin Wendy Elizabeth. Evidence-Based Clinical Algorithm for Hypotonia Assessment: To Pardon the Errs. Occupational Therapy International. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1212438
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212438