Actively Recruiting
Decision Algorithm for Vital Sign Assessment in the Outpatient Physical Therapy Setting
Led by Youngstown State University · Updated on 2025-12-02
100
Participants Needed
1
Research Sites
18 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Brief Summary The goal of this observational study is to develop consensus-based criteria for when vital sign assessment (VSA) should be performed in outpatient physical therapy settings. The primary purpose is to identify clinical signs, symptoms, and other factors that inform decision-making for VSA to improve patient safety and guide treatment progression. Main Questions: 1. Which clinical characteristics indicate that vital signs should be assessed during outpatient physical therapy? 2. Which clinical characteristics indicate that vital signs do not need to be assessed? Study Design: This study uses a three-round electronic Delphi (e-Delphi) process to achieve expert consensus. Comparison: Researchers will compare responses across rounds to determine agreement and stability of criteria for inclusion in a decision algorithm. Participants: Licensed physical therapists with ≥5 years of clinical experience in outpatient settings. Procedures: Participants will: Complete three rounds of online surveys via Qualtrics. Round 1: Suggest signs, symptoms, and factors for assessing or not assessing vitals. Round 2: Rank importance of these factors on a 5-point Likert scale and suggest additional items. Round 3: Review aggregated results and finalize consensus on criteria.
CONDITIONS
Official Title
Decision Algorithm for Vital Sign Assessment in the Outpatient Physical Therapy Setting
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Licensed physical therapist
- At least 5 years of clinical experience in an outpatient physical therapy setting
- Proficient in English reading and writing
- Able to provide informed consent
You will not qualify if you...
- Less than 5 years of outpatient physical therapy experience
- Unable to read or write in English
- Declines informed consent or does not agree to participate in all survey rounds
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Youngstown State University
Youngstown, Ohio, United States, 44555
Actively Recruiting
Research Team
E
Edmund Ickert, PhD
CONTACT
R
Rachel Ward, PT
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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