Reports From the Field

The Hospitalist Triage Role for Reducing Admission Delays: Impacts on Throughput, Quality, Interprofessional Practice, and Clinician Experience of Care


 

References

Results

Triage Hospitalist Pilot Time Period

Seventy-four entries were recorded, 56 (75.7%) reflecting new admission requests. Average time between EDAR order and IM admission order was 40 minutes. The EDAR order was entered into the EMR without prompting in 22 (29.7%) cases. In 56 (75.7%) cases, the final triage decision was IM admission. Other dispositions included 3 discharges, 4 transfers, 3 alternative primary service admissions, 1 ED observation, and 7 triage deferrals pending additional workup or stabilization.

Feedback substantiated several benefits, including improved coordination among IM, ED, and consultant clinicians, as well as early admission of seriously ill patients. Feedback also confirmed several expected challenges, including evidence of communication lapses, difficulty with transfer coordinator integration, difficulty hardwiring elements of the verbal and bedside handoff, and perceived high cognitive load for the triage hospitalist. Several unexpected issues included whether ED APPs can request admission independently and how reconsultation is expected to occur if admission is initially deferred.

Triage Hospitalist Implementation Time Period

Time to admission decreased from a baseline pre-pilot average of 5 hours 19 minutes (median, 4 hours 45 minutes) to a postintervention average of 2 hours 8 minutes, with a statistically significant downward shift post intervention (Figure 1).

Time to admission (TTA) throughout pilot and staged implementation

ED-2 increased from a baseline average of 3 hours 40 minutes (median, 2 hours 39 minutes), with a statistically significant upward shift starting in May 2020 (Figure 2). Time between patient arrival to the ED and EDAR order decreased from a baseline average of 8 hours 47 minutes (median, 8 hours 37 minutes) to a postintervention average of 5 hours 57 minutes, with a statistically significant downward shift post intervention. Percentage of IM admissions with an EDAR order increased from a baseline average of 47% (median, 47%) to 97%, with a statistically significant upward shift starting in January 2020 (Figure 3).

ED-2 (median time elapsed from admit decision time to time of departure from the ED for patients admitted to inpatient status) from pre-intervention (July 2019) period through postintervention (December 2020).

There was no change in observed average time between IM admission order and subsequent admission orders pre and post intervention (16 minutes vs 18 minutes). However, there was a statistically significant shift up to an average of 40 minutes from January through June 2020, which then resolved. The percentage of patients transferred to the ICU within 24 hours of admission to IM did not change (1.1% pre vs 1.4% post intervention). Frequency of patients transferred in from a referring facility also did not change (26/month vs 22/month). Average hospital medicine LOS did not change to a statistically significant degree (6.48 days vs 6.62 days). The percentage of inpatient admissions relative to short stays increased from a baseline of 74.0% (median, 73.6%) to a postintervention average of 82.4%, with a statistically significant shift upward starting March 2020.

Percentage of internal medicine admissions with emergency department admission request (EDAR)

Regarding interprofessional practice and clinician experience of care, 122 of 309 preintervention surveys (39.5% response rate) and 98 of 309 postintervention surveys (31.7% response rate) were completed. Pre- and postintervention responses were not linked.

Regarding interprofessional practice, EM residents and EM attendings experienced statistically significant improvements in all interprofessional practice domains (Table 1). Emergency medicine APPs experienced statistically significant improvements post intervention with “I am satisfied with the level of communication with IM hospitalist clinicians” and “Interactions with IM hospitalist clinicians are collaborative” and nonstatistically significant improvement in “Interactions with IM hospitalist clinicians are professional” and “IM hospitalist clinicians treat me with respect.” All EM groups experienced a small but not statistically significant worsening for “Efficiency is more valued than good patient care.” Internal medicine residents experienced statistically significant improvements for “I am satisfied with the level of communication with EM clinicians” and nonstatistically significant improvements for the other 3 domains. Internal medicine attendings experienced nonstatistically significant improvements for “My interactions with ED clinicians are professional,” “EM clinicians treat me with respect,” and “Interactions with EM clinicians are collaborative,” but a nonstatistically significant worsening in “I am satisfied with level of communication with EM clinicians.” Internal medicine residents experienced a nonstatistically significant worsening in “Efficiency is more valued than good patient care,” while IM attendings experienced a nonstatistically significant improvement.

Results of Pre- and Postintervention Survey of Interprofessional Practice Perspectives

For clinician experience of care, EM residents (P < .001) and attendings (P < .001) experienced statistically significant improvements in “Patients are well informed and involved in the decision to admit,” whereas IM residents and attendings, as well as EM APPs, experienced nonstatistically significant improvements (Table 2). All groups except IM attendings experienced a statistically significant improvement (IM resident P = .011, EM resident P < .001, EM APP P = .001, EM attending P < .001) in “I believe that my patients are evaluated and treated within an appropriate time frame.” Internal medicine attendings felt that this indicator worsened to a nonstatistically significant degree. Post intervention, EM groups experienced a statistically significant worsening in “The process of admitting patients to a UNM IM hospitalist service is difficult,” while IM groups experienced a nonstatistically significant worsening.

Results of Pre- and Postintervention Survey of Clinician Experience of Care

Pages

Recommended Reading

The Shifting Landscape of Thrombolytic Therapy for Acute Ischemic Stroke
Journal of Clinical Outcomes Management
JCOM: 30 Years of Advancing Quality Improvement and Innovation in Care Delivery
Journal of Clinical Outcomes Management
Leading for High Reliability During the COVID-19 Pandemic: A Pilot Quality Improvement Initiative to Identify Challenges Faced and Lessons Learned
Journal of Clinical Outcomes Management
Implementation of a Multidisciplinary Team–Based Clinical Care Pathway Is Associated With Increased Surgery Rates for Infective Endocarditis
Journal of Clinical Outcomes Management
Meet the JCOM Author with Dr. Barkoudah: Leading for High Reliability During the COVID-19 Pandemic
Journal of Clinical Outcomes Management
Meet the JCOM Author with Dr. Barkoudah: A Multidisciplinary Team–Based Clinical Care Pathway for Infective Endocarditis
Journal of Clinical Outcomes Management
Patient Safety in Transitions of Care: Addressing Discharge Communication Gaps and the Potential of the Teach-Back Method
Journal of Clinical Outcomes Management
Differences in 30-Day Readmission Rates in Older Adults With Dementia
Journal of Clinical Outcomes Management
Quality Improvement in Health Care: From Conceptual Frameworks and Definitions to Implementation
Journal of Clinical Outcomes Management
Redesign of Health Care Systems to Reduce Diagnostic Errors: Leveraging Human Experience and Artificial Intelligence
Journal of Clinical Outcomes Management