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Related Concept Videos

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
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Related Experiment Video

Updated: May 6, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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PROPREDICT Decision Support Tool: Using Evidence to Guide Precision Prosthesis Prescription and Rehabilitation

Daniel C Norvell1, David C Morgenroth1, Joseph M Czerniecki1

  • 1VA Puget Sound Health Care System, Seattle, WA; VA Center for Limb Loss and MoBility (CLiMB), Seattle, WA; Department of Rehabilitation Medicine, University of Washington, Seattle, WA.

Archives of Physical Medicine and Rehabilitation
|August 26, 2025
PubMed
Summary

The PROPREDICT decision support tool (DST) was developed to predict prosthetic mobility. Usability testing showed high user satisfaction, indicating its potential clinical utility for rehabilitation providers.

Keywords:
AmputationClinical decision support toolsPredictionProstheticsRehabilitation

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Area of Science:

  • Rehabilitation Medicine
  • Prosthetics and Orthotics
  • Clinical Decision Support Systems

Background:

  • The AMPREDICT PROsthetics prediction model was previously validated.
  • A need exists for a user-friendly tool to predict prosthetic mobility outcomes.

Purpose of the Study:

  • To translate the AMPREDICT PROsthetics prediction model into a web-based clinical decision support tool (DST).
  • To predict four levels of prosthetic mobility 12 months post-prescription.
  • To assess the usability and clinical relevance of the developed DST.

Main Methods:

  • The AMPREDICT model's predictors and coefficients were used to develop the online DST.
  • Iterative input from an expert panel informed the DST's content and aesthetics.
  • Formal usability testing involved a think-aloud approach, quantitative PSSUQ assessment, and qualitative interviews.

Main Results:

  • The DST achieved highly favorable usability scores (mean PSSUQ 1.58/7.0).
  • Participants identified clinical utility in patient counseling, expectation setting, and rehabilitation planning.
  • The tool was perceived as user-friendly, readable, and functional.

Conclusions:

  • The PROPREDICT DST (www.prodecide.org) was successfully developed and validated for usability and clinical relevance.
  • Rehabilitation providers expressed optimism regarding the DST's potential clinical application.
  • The tool aids in predicting prosthetic mobility and informing rehabilitation strategies.