Evaluation of Automated Video Monitoring to Decrease the Risk of Unattended Bed Exits in Small Rural Hospitals

Abstract

Objectives: This study aimed to evaluate the effectiveness of using 1 to 4 mobile or fixed automated video monitoring systems (AVMSs) to decrease the risk of unattended bed exits (UBEs) as antecedents to unassisted falls among patients at high risk for falls and fall-related injuries in 15 small rural hospitals.

Methods: We compared UBE rates and fall rates during baseline (5 months in which patient movement was recorded but nurses did not receive alerts) and intervention phases (2 months in which nurses received alerts). We determined lead time (seconds elapsed from the first alert because of patient movement until 3 seconds after an UBE) during baseline and positive predictive value and sensitivity during intervention.

Results: Age and fall risk were negatively associated with the baseline patient rate of UBEs/day. From baseline to intervention: in 9 hospitals primarily using mobile systems, UBEs/day decreased from 0.84 to 0.09 (89%); in 5 hospitals primarily using fixed systems, UBEs/day increased from 0.43 to 3.18 (649%) as patients at low risk for falls were observed safely exiting the bed; and among 13 hospitals with complete data, total falls/1000 admissions decreased from 8.83 to 5.53 (37%), and injurious falls/1000 admissions decreased from 2.52 to 0.55 (78%). The median lead time of the AVMS was 28.5 seconds, positive predictive value was nearly 60%, and sensitivity was 97.4%.

Conclusions: Use of relatively few AVMSs may allow nurses to adaptively manage UBEs as antecedents to unassisted falls and fall-related injuries in small rural hospitals. Additional research is needed in larger hospitals to better understand the effectiveness of AVMSs.

FIGURE 1

Simulated 3D grayed-out shapes produced by Ocuvera AVMS.

FIGURE 2

Ocuvera AVMS.

FIGURE 3

A, Baseline: age is significantly associated with rate of UBEs per day for 9 sites that used AVM system to intervene and prevent UBEs (Spearman ρ = −0.333, P < 0.001). B, Intervention: age is not associated with rate of UBEs per day for 9 sites that used AVM system to intervene and prevent UBEs (Spearman ρ = −0.075, P = 0.567).

FIGURE 4

A, Baseline: age is significantly associated with rate of UBEs per day for 5 sites that used AVM system to monitor patients as they exited the bed unattended (Spearman ρ = −0.412, P < 0.001). B, Intervention stage: age is significantly associated with rate of UBEs per day for 5 sites that used AVM system to monitor patients as they exited the bed unattended (Spearman ρ = −0.361, P = 0.001).

FIGURE 5

Baseline: age is significantly associated with median lead time (Spearman ρ = 0.359, P = 0.006).