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Related Experiment Videos

Creating Evidence for Practice Using Data-Driven Decision Making.

Roseann C Schaaf1

  • 1Roseann C. Schaaf, PhD, OTR/L, FAOTA, is Professor and Chair, Department of Occupational Therapy, Jefferson School of Health Professions, and Faculty, Farber Institute for Neurosciences, Thomas Jefferson University, Philadelphia, PA; roseann.schaaf@jefferson.edu.

The American Journal of Occupational Therapy : Official Publication of the American Occupational Therapy Association
|July 1, 2015
PubMed
Summary
This summary is machine-generated.

Occupational therapy practitioners can improve practice by using the Data-Driven Decision Making (DDDM) process. This systematic approach uses clinical reasoning and outcome data to enhance evidence-based occupational therapy.

Related Experiment Videos

Area of Science:

  • Occupational Therapy
  • Clinical Reasoning
  • Evidence-Based Practice

Background:

  • The American Occupational Therapy Association's Centennial Vision emphasizes evidence-based, systematic, and theoretically grounded practices.
  • Current occupational therapy practice requires a stronger focus on data related to client outcomes.
  • There is a need for structured approaches to integrate data into clinical decision-making.

Purpose of the Study:

  • To present a framework, the Data-Driven Decision Making (DDDM) process, for occupational therapy practitioners.
  • To guide clinicians in systematically using data to inform practice and clinical reasoning.
  • To promote the development of evidence for occupational therapy through data-driven practices.

Main Methods:

  • The article introduces the Data-Driven Decision Making (DDDM) process as a guiding framework.
  • It emphasizes systematic clinical reasoning with a specific focus on utilizing client outcome data.
  • Illustrative examples of DDDM application in pediatric and adult rehabilitation are provided.

Main Results:

  • The DDDM process provides a structured method for integrating data into occupational therapy practice.
  • It facilitates evidence-based decision-making by grounding practice in measurable outcomes.
  • The framework supports the creation of robust evidence within the field of occupational therapy.

Conclusions:

  • Adopting a Data-Driven Decision Making (DDDM) process is crucial for achieving the goals of the American Occupational Therapy Association's Centennial Vision.
  • Systematic clinical reasoning, informed by outcome data, enhances the quality and effectiveness of occupational therapy interventions.
  • The DDDM framework empowers practitioners to generate practice-based evidence and advance the profession.