Evidence‐based assessment as an integrative model for applying psychological science to guide the voyage of treatment
| Autor: | Mitchell J. Prinstein, Eric A. Youngstrom, John Hunsley, Thomas W. Frazier, Jennifer Kogos Youngstrom, Mian Li Ong, Anna Van Meter |
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| Rok vydání: | 2017 |
| Předmět: |
050103 clinical psychology
Psychological science Service (systems architecture) Process management 05 social sciences Applied psychology Clinical Psychology Process measurement Literature reviewing Satisficing 0501 psychology and cognitive sciences Psychological testing Medical diagnosis Psychology Evidence based assessment 050104 developmental & child psychology |
| Zdroj: | Clinical Psychology: Science and Practice. 24:331-363 |
| ISSN: | 1468-2850 0969-5893 |
| DOI: | 10.1111/cpsp.12207 |
| Popis: | Evidence-based assessment (EBA) streamlines literature reviewing and organizing clinical assessment by targeting the vital few topics, “satisficing,” and focusing on three major phases of clinical activity: prediction of diagnoses or other criteria, prescription of treatment or moderating factors, and process measurement. EBA is an organizing framework for applying a dozen steps to guide treatment. Technology is changing clinical assessment by increasing the efficiency and accuracy of scoring and feedback, as well as innovations that make more intensive assessment feasible. Fully implementing EBA suggests changes in training and requires a practice overhaul in exchange for greater efficiency, more accurate decisions, incrementally better outcomes, and increased service accessibility that could enable psychological science to help more people. |
| Databáze: | OpenAIRE |
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