A multicenter observational study investigating care errors, staffing levels, and workload in small animal intensive...

To investigate associations among care errors, staffing, and workload in small animal ICUs.

Multicenter observational cohort study conducted between January 2017 and September 2018.

Three small animal teaching hospital ICUs.

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Data on patient numbers, illness severity (assesed via the acute patient physiologic and laboratory evaluation [APPLE] score), care burden, staffing levels, technician experience/education level, and care errors were collected at each study site. Care errors were categorized as major (unanticipated arrest or death; patient endangerment through IV line, arterial catheter, chest tube or other invasive device mismanagement, or errors in drug calculation/administration) or minor. Median patient:technician ratio was 4.3 (range: 1-18). Median patient illness severity was 15.1 (4.7-27.1) APPLE score units. A total of 221 major and 3,317 minor errors were observed over the study period. The odds of a major error increased by an average of 11% (odds ratio [OR] = 1.11; 95% confidence interval [CI], 1.02-1.20; P = 0.012) for each 1 patient increase in the patient:technician ratio after averaging by ICU location. The major error incident rate ratio was 2.53 (95% CI, 1.84-3.54; P < 0.001) for patient:technician ratios of >4.0 compared with ≤4.0. The odds of a major error increased by 0.5% per total unit APPLE score increase (OR = 1.005; 95% CI, 1.002-1.007; P < 0.001). The major error incident rate ratio was 1.71 (95% CI, 1.30-2.25; P < 0.001) for APPLE_fast :technician ratios of >73 compared with ≤73. The odds of a major error decreased by 2% (OR = 0.98; 95% CI, 0.97-0.99; P = 0.01) for each year increase in total technician years of ICU work experience.

Substantial reductions in major care errors may be achieved by maintaining ICU patient:technician ratios at ≤4. Technician experience and total unit burden of patient illness severity are also associated with error incidence, and should be taken into consideration when scheduling staff.