Effect of an inpatient geriatric consultation team on functional outcome, mortality, institutionalization, and readmission rate in older adults with hip fracture: a controlled trial

OBJECTIVES: To evaluate the effect of an inpatient geriatric consultation team (IGCT) on end points of interest in people with hip fracture: length of stay, functional status, mortality, new nursing home admission, and hospital readmission. DESIGN: Controlled trial based on assignment by convenience. SETTING: Trauma ward in a university hospital. PARTICIPANTS: One hundred seventy-one people with hip fracture aged 65 and older. INTERVENTION: Participants were assigned to a multidisciplinary geriatric intervention (n=94) or usual care (n=77) during hospitalization after hip fracture. MEASUREMENTS: End points were functional status, length of stay, mortality, new nursing home admission, and hospital readmission 6 weeks, 4 months, and 12 months after surgery. RESULTS: Mean length of stay was 11.1 ± 5.1 days in the intervention group and 12.4 ± 8.5 days in the control groups (P=.24). Complete adherence to IGCT recommendations was 56.8%. A significant benefit of intervention on functional status in univariate analyses (P=.02) 8 days after surgery disappeared in a linear mixed model. Participants with dementia had better functional status in a linear mixed model than those without (P=.03), but this effect was no longer significant after Bonferroni correction for multiple testing. After 6 weeks, 4 months, and 12 months, no between-group differences could be documented for mortality, new nursing home admission, or readmission rate. CONCLUSION: This trial could not document functional benefits of an IGCT intervention in people with hip fracture. More research is needed to investigate whether a more-intensive approach with more-direct control over patient management, more-specific recommendations, and more-intense education would be effective.status: publishe

Screening for risk of readmission of patients aged 65 years and above after discharge from the emergency department: predictive value of four instruments

Objectives To compare the abilities of four different screening tools to predict return visits of older persons after they have been discharged from the emergency department (ED).status: publishe

Screening for risk of unplanned readmission in older patients admitted to the hospital: predictive accuracy of three instruments

BACKGROUND AND AIMS: Hospital readmission after discharge is an important clinical and health policy issue. We compared the predictive accuracy of the Identification of Seniors at Risk (ISAR), the Flemish version of the Triage Risk Screening Tool (TRST) and Variable Indicative of Placement risk (VIP) in assessing unplanned readmissions. METHODS: We included 213 patients (≥65 years), hospitalized following admission to the emergency department. The ISAR, TRST and VIP were administered at admission. Unplanned readmissions were registered by telephone follow-up 14, 30 and 90 days post-discharge. RESULTS: Unplanned readmission rates were 6.8%, 14.7% and 23.5% after 14, 30, and 90 days, respectively. The ISAR showed low to moderate sensitivity (54%-69%) and a high negative predictive value (≥78%) at all measurement points. Specificity and positive predictive value were low (≤33% and ≤24%, respectively). The TRST had low to moderate sensitivity (42%-67%) and a high negative predictive value (≥82%). Specificity and positive predictive value were low (≤45% and ≤27%, respectively). The VIP had very low sensitivity (≤26%) and high specificity (≥80%). Its negative predictive value was high (≥79%) and its positive predictive value was low (≤22%). CONCLUSIONS: Due to their moderate to low sensitivity, and low specificity and positive predictive value, none of the instruments was capable of accurately predicting unplanned readmission in older, hospitalized patients. Overall, reducing or increasing the original cut-off value by one point did not result in improved performance. Our findings suggest that these instruments lack the necessary sophistication to capture the complexity of (unplanned) readmissions.status: publishe