• Kirstin A Manges, Andrea S Wallace, Patricia S Groves, Marilyn M Schapira, and Robert E Burke.
• National Clinician Scholars Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
• J Hosp Med. 2021 Jun 1; 16 (6): 326332326-332.

BackgroundA critical task of the inpatient interprofessional team is readying patients for discharge. Assessment of shared mental model (SMM) convergence can determine how much team members agree about patient discharge readiness and how their mental models align with the patient's self-assessment.ObjectiveDetermine the convergence of interprofessional team SMMs of hospital discharge readiness and identify factors associated with these assessments.DesignWe surveyed interprofessional discharging teams and each team's patient at time of hospital discharge using validated tools to capture their SMMs.ParticipantsDischarge events (N = 64) from a single hospital consisting of the patient and their team (nurse, coordinator, physician).MeasuresClinician and patient versions of the validated Readiness for Hospital Discharge Scales/Short Form (RHDS/SF). We measured team convergence by comparing the individual clinicians' scores on the RHDS/SF, and we measured team-patient convergence as the absolute difference between the Patient-RHDS/SF score and the team average score on the Clinician-RHDS/SF.ResultsDischarging teams assessed patients as having high readiness for hospital discharge (mean score, 8.5 out of 10; SD, 0.91). The majority of teams had convergent SMMs with high to very high interrater agreement on discharge readiness (mean r*wg(J), 0.90; SD, 0.10). However, team-patient SMM convergence was low: Teams overestimated the patient's self-assessment of readiness for discharge in 48.4% of events. We found that teams reporting higher-quality teamwork (P = .004) and bachelor's level-trained nurses (P < .001) had more convergent SMMs with the patient.ConclusionMeasuring discharge teams' SMM of patient discharge readiness may represent an innovative assessment tool and potential lever to improve the quality of care transitions.

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