In our previous blog entry, we highlighted how the #1 barrier to conducting mental health research according to the experts is a shortage of clinical interviewers. (For more details about this, see our blog, “America’s Clinical Trial Bottleneck: Interviewer Shortages in Mental Health.” According to the 2024 “State of the Behavioral Health Workforce” report by the Health Resources and Services Administration (HRSA), the #2 barrier to conducting mental health research is the diagnostic complexity of assessing mental disorders. These challenges impact clinical trials by making participant selection difficult and inflating placebo responses in the outcome data.
Why Is It Complex to Assess Mental Disorders?
There are several important reasons for this:
- Mental Disorders Are Heterogeneous – People with the same diagnosis can look very different from one another in terms of:
- Overlapping Symptoms Across Disorders – Symptom crossover occurs when the same symptom appears in multiple disorders. For example, anxiety, sleep disturbances, concentration problems, and mood changes appear in multiple disorders (e.g., depression, PTSD, ADHD).
- Clinical Significance Varies by Context – Clinical significance, and not just symptom counts, is required for making diagnostic decisions for nearly all mental disorders. Clinical significance can include functional impairment, distress, or risk to self or others. A symptom might be clinically significant for one person but not another, depending on cultural norms, age, developmental stage, and life circumstances.
- Comorbidity Is Common – Comorbidity refers to the presence of two or more mental disorders occurring in the same person either at the same time or sequentially. Many people meet criteria for more than one disorder (e.g., anxiety and depression, PTSD and substance use), which complicates making diagnoses. The DSM®, and subsequently the SCID®, are written to help clinicians tease apart primary vs. secondary diagnoses and rule-outs.
- Avoiding Overdiagnosis and Underdiagnosis – The DSM helps set clear thresholds (e.g., how many symptoms, for how long, in what context) to avoid misdiagnosing the patient or participant (i.e. false positives) or missing a genuine condition (i.e. false negatives). As a companion to the DSM®, the SCID® includes carefully crafted follow-up probes to further reduce the number of false positives and false negatives when conducting psychiatric assessments.




