Evidence based assessment

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Evidence-based assessment (EBA) refers to the use of research and theory to guide the choices about what to measure, how to measure it, and what to do next based on the results during a clinical evaluation.[1] Even when using scores from tests that have shown good results psychometrically in similar settings, the assessment process is inherently a decision-making task in which the clinician must iteratively formulate and test hypotheses by integrating data that are often incomplete and inconsistent[1]. EBA has been found to help clinicians in cognitively debiasing their clinical decisions.[2]

The EBA model combines skills, tools, and strategies to work more efficiently and accurately. It is possible to gather the pieces in a "just in time" way, developing questions and searching for answers based on a particular patient's needs. This sort of case-based, experiential learning makes the concepts more clear and memorable, and keeps everything connected to practical choices and actions. Asking answerable clinical questions is a core skill to updating our practices and staying fresh as a clinician and relevant as a researcher.

Content areas[edit]

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EBA clinicians' manual[edit]

We are working to build a step-by-step evidence-based assessment manual that clinicians can follow along, with built-in examples. This is under construction.

This list describes the four discrete assessment phases of evidence based assessment, and the twelve steps that a clinician should follow to practice evidence-based assessment.

  1. Preparation phase
  2. Prediction phase
  3. Prescription phase
  4. Process phase

Other topics[edit]

External links[edit]


Click here for references
  1. 1.0 1.1 Hunsley, J; Mash, EJ (2007). "Evidence-based assessment.". Annual review of clinical psychology 3: 29-51. PMID 17716047. 
  2. Jenkins, MM; Youngstrom, EA; Washburn, JJ; Youngstrom, JK (April 2011). "Evidence-Based Strategies Improve Assessment of Pediatric Bipolar Disorder by Community Practitioners.". Professional psychology, research and practice 42 (2): 121-129. PMID 21625392. 

Under the hood[edit]

Extended content