Automated Screening to Enhance Proactive Consultation-Liaison Psychiatry Services in Acute Medicine Units: Evaluation of Service Outcomes.

Objective: Proactive consultation-liaison (C-L) psychiatry aims to meet the mental health needs of medical-surgical populations-many of which go unmet by the conventional C-L model-through systematic screening and integrated care. We implemented an automated screening list to enhance case identification of an existing proactive C-L service and evaluated service metrics along with clinician- and patient-reported outcomes. Methods: Service outcomes were evaluated using historical and contemporary comparison data. Adjusted difference-in-difference analyses were used to determine change in consult characteristics, mean length of stay (LOS), and scores on Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). Practitioners and nurses were surveyed regarding service satisfaction, perceived safety, and burnout. Results: During the intervention, the consult rate was 3-fold higher than at baseline. Change in time to consultation was equivocal. Overall mean LOS was not reduced, but observed LOS was 1.2 days shorter than expected among non-COVID patients receiving psychiatric consultation ( P  = not significant). Mean patient-rated hospital satisfaction on HCAHPS was 1 point higher on intervention units during the intervention. Surveys revealed broad satisfaction with this model among practitioners and improved perception of safety among nurses. Conclusions: Proactive C-L psychiatry enhanced by automated screening was associated with improved service utilization and evidence suggestive of LOS reduction among those most likely to receive direct benefit from this model of care. Further, both patient and clinician ratings were improved during the intervention. Proactive C-L psychiatry provides benefits to patients, clinicians, and health systems and may be poised to achieve the Triple Aim in health care. Prim Care Companion CNS Disord 2024;26(2):23m03647 . Author affiliations are listed at the end of this article.