Measurement Based Care in a first episode psychosis program: Development of an algorithm of care based on the Clinical Global Impressions Scale.

INTRODUCTION: Adherence to therapeutic guidelines in psychiatry is anchored and facilitated by rating scales. However, they are rarely used in routine care, particularly for psychotic disorders. Consequently, adherence to treatment guidelines are not ideal and patient outcomes are often sub-optimal. In this study, we used the clinician-rated Clinical Global Impressions Scale (CGI) to implement a measurement-based care (MBC) approach and derive indices of quality of care at a first episode psychosis (FEP) program. METHODS: At the individual level, an algorithm was created using CGI scores and their changes over time to define the concept of Patient Requiring Clinical Attention (PRCA) that encompasses several categories (e.g. episode of severity, treatment inertia, or treatment resistance). At the service level, CGI scores were used to derive several indices of quality of care: severity of illness and its change over time, conformity to the use of low doses of antipsychotic medications, and clozapine offer index. RESULTS: 135 Patients were included in this study of whom 19 patients were identified as PRCA. Of these, 12 (63%) received timely medication, and 7 (37%) were suspected cases of therapeutic inertia. Additionally, 15 patients met criteria for treatment resistance of whom 7 were offered clozapine (47%). At the service level, the average CGI improved by 2 points from baseline to month 1 and average doses of antipsychotic medications prescribed were in line with prescription guidelines for FEP patients. CONCLUSION: The proposed CGI-based treatment algorithm and service evaluation strategy can help to optimize quality care and services for patients.

Pragmatic implementation of the Clinical Global Impression Scale of Severity as a tool for measurement-based care in a first-episode psychosis program.

INTRODUCTION: Measurement-based care (MBC) is an evidence-based practice wherein clinical decisions are informed by patient data collected throughout treatment. MBC has yielded superior patient outcomes compared to standard care. However, the implementation of MBC in the day-to-day practice, particularly in psychotic disorders, poses several challenges. This study evaluates the clinician-rated Clinical Global Impressions Scale of Severity (CGI-S), for MBC implementation at a first-episode psychosis program. METHODS: The CGI-S was evaluated in the context of routine care on fidelity to practice, inter-rater reliability among psychiatrists and concurrent validity with scales measuring different domains of psychopathology (SAPS, SANS, GAF, BPRS, PANSS-6). RESULTS: A high fidelity to practice (67%) and inter-rater reliability was found (rwg = 0.92). CGI-S correlations were significant and strongest with BPRS (r = 0.55; p < 0.01), GAF (r = 0.53; p < 0.01), SAPS (r = 0.52, p < 0.01), and PANSS-6 (r = 0.41; p < 0.05) scores. However, correlations with SANS and PANSS-6 Negative sub-scale were weak. CONCLUSION: Findings suggest the CGI may be used to overcome important barriers towards MBC implementation within the context of first episode psychosis. However, as suggested by data, further improvements in capturing negative symptoms by rating clinicians are needed. TWITTER: A novel strategy for measurement-based care to optimize treatment for individuals with first episode psychosis and related psychotic disorders.