Search

The objective of this study was to evaluate the effects of using Community Health Workers (CHWs) to deliver the home-basedIn this randomized controlled trial of 151 children aged 2-9 years with persistent asthma, we assigned 75 to the intervention and 76 to the control. The primary outcome was caregiver-reported asthma symptom days. Secondary outcomes included asthma-related healthcare utilization, caregivers' asthma knowledge, illness perception and management behaviors, MDI-spacer administration technique, and home environmental triggers. Outcomes were collected at baseline, 3, 6, 9 and 12 months. A repeated measurements analytic approach with generalized estimating equations was used. To account for missing data, multiple imputation methods were employed.At 3 and 6 months, improvement in symptom days was not significantly different between groups. However, at 9 and 12 months, the reduction in asthma symptom days was 2.15 and 2.31 days more respectively for those in the intervention group compared to the control. Improvements in MDI-spacer technique, knowledge and attitudes were significant throughout follow-up. Improvement in habits regarding MDI use was significant at 3 and 6 months, and asthma routines were improved at 3 months. However, there was no change in asthma-related healthcare utilization or home environmental triggers.Using CHWs to deliver a home-based asthma education program to caregivers of children with persistent asthma led to improvements in symptom days and several secondary outcomes. Expanding the use of CHWs to provide home-based interventions can help reduce disparities in children's health outcomes.

OBJECTIVE To demonstrate the association between increases in labor and delivery unit census and delays in patient care decisions using a computer simulation module. METHODS This was an observational cohort study of labor and delivery unit nurse managers. We developed a computer module that simulates the physical layout and clinical activity of the labor and delivery unit at our tertiary care academic medical center, in which players act as clinical managers in dynamically allocating nursing staff and beds as patients arrive, progress in labor, and undergo procedures. We exposed nurse managers to variation in patient census and measured the delays in resource decisions over the course of a simulated shift. We used mixed logistic and linear regression models to analyze the associations between patient census and delays in patient care. RESULTS Thirteen nurse managers participated in the study and completed 17 12-hour shifts, or 204 simulated hours of decision-making. All participants reported the simulation module reflected their real-life experiences at least somewhat well. We observed 1.47-increased odds (95% CI 1.18-1.82) of recommending a patient ambulate in early labor for every additional patient on the labor and delivery unit. For every additional patient on the labor and delivery unit, there was a 15.9-minute delay between delivery and transfer to the postpartum unit (95% CI 2.4-29.3). For every additional patient in the waiting room, we observed a 33.3-minute delay in the time patients spent in the waiting room (95% CI 23.2-43.5) and a 14.3-minute delay in moving a patient in need of a cesarean delivery to the operating room (95% CI 2.8-25.8). CONCLUSION Increasing labor and delivery unit census is associated with patient care delays in a computer simulation. Computer simulation is a feasible and valid method of demonstrating the sensitivity of care decisions to shifts in patient volume.

To demonstrate the association between increases in labor and delivery unit census and delays in patient care decisions using a computer simulation module.This was an observational cohort study of labor and delivery unit nurse managers. We developed a computer module that simulates the physical layout and clinical activity of the labor and delivery unit at our tertiary care academic medical center, in which players act as clinical managers in dynamically allocating nursing staff and beds as patients arrive, progress in labor, and undergo procedures. We exposed nurse managers to variation in patient census and measured the delays in resource decisions over the course of a simulated shift. We used mixed logistic and linear regression models to analyze the associations between patient census and delays in patient care.Thirteen nurse managers participated in the study and completed 17 12-hour shifts, or 204 simulated hours of decision-making. All participants reported the simulation module reflected their real-life experiences at least somewhat well. We observed 1.47-increased odds (95% CI 1.18-1.82) of recommending a patient ambulate in early labor for every additional patient on the labor and delivery unit. For every additional patient on the labor and delivery unit, there was a 15.9-minute delay between delivery and transfer to the postpartum unit (95% CI 2.4-29.3). For every additional patient in the waiting room, we observed a 33.3-minute delay in the time patients spent in the waiting room (95% CI 23.2-43.5) and a 14.3-minute delay in moving a patient in need of a cesarean delivery to the operating room (95% CI 2.8-25.8).Increasing labor and delivery unit census is associated with patient care delays in a computer simulation. Computer simulation is a feasible and valid method of demonstrating the sensitivity of care decisions to shifts in patient volume.