Clinical Guide to the Evidence-Based Assessment Approach to Diagnosis and Treatment

https://doi.org/10.1016/j.cbpra.2013.12.005Get rights and content

Highlights

  • Evidence-based assessment can work in most clinical settings for common problems

  • EBA combines base rates, risk factors, and checklists quickly and accurately

  • Clinicians work with clients to decide when to test more and how to treat

  • EBA helps define benchmarks for treatment progress and outcome

  • A case example illustrates EBA methods in practice

Abstract

Assessment plays an essential role in diagnosis, treatment planning, and progress monitoring, but assessment data are often used in ways that are impressionistic and prone to biases. Evidence-based medicine (EBM) principles, underutilized in psychology, can be used to streamline the assessment process and increase the accuracy of conclusions. Using a case example to illustrate the application of each step, this paper outlines a 12-step approach for applying EBM assessment strategies in clinical practice. The initial steps utilize information about clinical base rates, psychopathology risk factors, rating scale scores, and selected in-depth assessment to conduct an iterative, efficient approach to estimating the probability of a given diagnosis until that probability falls into a range suggesting the diagnosis is unlikely to be present, or likely enough to warrant treatment. Once the practitioner and client agree on the treatment plan, subsequent steps monitor progress and outcomes and use that information to make decisions about termination, and then continued monitoring guards against relapse.

Section snippets

Base Rates and Probabilities: Foundations of the EBM Diagnostic Approach

The EBM approach to diagnosis focuses on determining the probability of a client’s having each diagnosis. In the absence of other information, Meehl (1954) advised “betting the base rate.” In other words, if 20% of all of our clients have anxiety, prior to learning anything about a new client, there is a 20% chance that the next client has anxiety. EBM provides strategies for integrating information from risk factors and test results to revise the probability of each diagnosis. Bayes’ Theorem

Steps A and B: Setting the Stage for EBA

Table 1 lays out a dozen steps to reorganize assessment practices to integrate EBM ideas. The first two steps lay a foundation to support a system of evaluation for all subsequent clients. They will take a few hours to fully implement, requiring a start-up investment of time and effort, but then adding no additional time or cost to individual assessments.

Steps C to H: Assessment of the Client Before Treatment

The next several steps involve gathering and interpreting data regarding symptoms and risk factors in order to determine whether a client falls in the Red, Yellow, or Green zones. Clinicians typically do this intuitively and impressionistically, changing formulations while listening to the client describe the presenting problem and looking at the scores on checklists they completed before starting the session. The EBM approach makes the interpretation more formal and systematic, but not much

Assessment During and After Treatment

We were doing a comprehensive psychological evaluation with Lea, and not providing treatment, so this case example ends here. However, there are ways to lay a good foundation for assessment during active treatment and maintenance in the recommendations section of assessment reports. At our clinic, we provide a “care package” of EBA methods that the client can take with them, or that we can send directly to their other care providers.

I. Measure Progress and Process

After the initial treatment plan is clear, then the role of assessment shifts from diagnostic clarification to measuring progress. Borrowing the metaphor of therapy as a journey, the prior stages of assessment are akin to getting oriented, picking a mutually agreeable destination, and then charting a route that should reach the goal reasonably directly. Once under way, assessment becomes the dashboard for monitoring changes and alerting to critical events.

Progress measures need to be brief

Discussion

The evidence-based assessment model we describe integrates many different sources of information, including the types of problems seen at different clinical settings, and information about risk factors and test results, to provide updated probability estimates of different clinical hypotheses. The same assessment approaches also can provide information about treatment targets and define intermediate and outcome goals. Changes in technology also make it possible to use innovative tools, such as

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