Delphi consensus study and clinical practice guideline development for functional electrical stimulation to support upright mobility in people with an upper motor neuron lesion. | LitMetric
Purpose: A Clinical Practice Guideline (CPG) is required to provide guidance on optimal service delivery for Functional Electrical Stimulation (FES) to support upright mobility in people living with mobility difficulties due to an upper motor neuron lesion, such as stroke or multiple sclerosis. A modified Delphi consensus study was used to provide expert consensus on best practice.
Methods: A Steering Group supported the recruitment of an Expert Panel, which included a range of stakeholders who participated in up to three survey rounds. In each round, panelists were asked to rate their agreement with draft statements about best practice using a 6-point Likert scale and add free text to explain their answer. Statements that achieved over 75% agree/strongly agree on the Likert scale were included in the CPG. Those that did not were revised based on free text comments and proposed in the next survey round.
Results: The first round included 82 statements with seven substatements. Sixty-five people (84% response rate) completed survey round 1 leading to 62 statements and four substatements being accepted. Fifty-six people responded to survey round 2, and consensus was achieved for all remaining statements.
Conclusion: The accepted statements are included within the CPG and provide recommendations about who can benefit from FES and how they can be optimally supported through FES service provision. As such the CPG will support advocacy for, and optimal design of, FES services.
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Background: Interactive artificial intelligence tools such as ChatGPT have gained popularity, yet little is known about their reliability as a reference tool for healthcare-related information for healthcare providers and trainees. The objective of this study was to assess the consistency, quality, and accuracy of the responses generated by ChatGPT on healthcare-related inquiries.
Methods: A total of 18 open-ended questions including six questions in three defined clinical areas (2 each to address "what", "why", and "how", respectively) were submitted to ChatGPT v3.
Objective: To propose a European consensus for managing and treating laryngopharyngeal reflux disease (LPRD) to guide primary care and specialist physicians.
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To develop and validate a high-fidelity, nonbiohazardous simulator model for the ultrasound-guided percutaneous nephrolithotomy procedure. We employed a systematic framework based on Delphi consensus and modern education theory to design a simulation model. Twelve expert surgeons provided input through a hierarchal task analysis and identified procedural tasks, anatomical landmarks, and potential errors.
