1352 - Time Is Therapy: Evaluating Lag Time in Acute to IPR Transitions

Thursday, February 19, 2026

5:00 PM - 6:30 PM AST

Corresponding Author(s)

SJ

Sunil Jain, MD

Physiatrist
LewisGale Medical Center
Salem, Virginia, United States

Presenting Author(s)

IM

Igbagboleke Mobolaji, MD, MS

Transitional Year Resident
LewisGale Medical Center
Salem, Virginia, United States

Co-Author(s)

GQ

Glenn Quarles, DO, MPH, FAAPMR

Physiatrist/ Inpatient Rehabilitation Department Chair
LewisGale Medical Center
Salem, Virginia, United States
AM

Austin Miller, DO

Transitional Year Resident
LewisGale Medical Center
Salem, Virginia, United States

Submitter(s)

IM

Igbagboleke Mobolaji, MD

LewisGale Medical Center
Salem, Virginia, United States

Objectives: To evaluate seasonal trends in lag time and assess its correlation with clinical readiness scores (CRS 1) to inform process improvements in acute-to-IPR transitions

Design: Lag time data were collected from February 2024 to January 2025. Monthly averages were analyzed, and benchmark thresholds were applied to identify ideal (< 3 days) and delayed ( >5 days) transitions. Correlation analysis was performed between lag time and CRS 1 scores.

Results: Over the 12-month period, the average lag time was 4.5 days, surpassing the ideal benchmark and indicating room for improvement in operational efficiency. The most favorable performance was observed in February and April, with lag times of 3.16 and 3.11 days respectively. In contrast, the months from September through January consistently recorded lag times exceeding 5.5 days, marking them as the least efficient. Notably, CRS 1 scores demonstrated a strong positive Pearson correlation with lag time (r = 0.91), suggesting that operational factors may play a significant role in contributing to these delays.

Conclusions: Lag time demonstrates seasonal variability, with significant delays occurring in the fall and winter months. These delays may adversely affect rehabilitation outcomes and warrant targeted interventions. The strong correlation with CRS 1 suggests that operational readiness plays a key role in transition efficiency.