Background Caregivers and family members of Intensive Care Unit (ICU) survivors can face emotional problems following patient discharge from hospital. We aimed to evaluate the impact of a multi-centre integrated health and social care intervention, on caregiver and family member outcomes. Methods This study evaluated the impact of the Intensive Care Syndrome: Promoting Independence and Return to Employment (InS:PIRE) programme across 9 sites in Scotland. InS:PIRE is an integrated health and social care intervention. We compared caregivers who attended this programme with a contemporary control group of ICU caregivers (usual care cohort), who did not attend. Results The primary outcome was anxiety measured via the Hospital Anxiety and Depression Scale at 12 months post-hospital discharge. Secondary outcome measures included depression, carer strain and clinical insomnia. A total of 170 caregivers had data available at 12 months for inclusion in this study; 81 caregivers attended the InS:PIRE intervention and completed outcome measures at 12 months post-hospital discharge. In the usual care cohort of caregivers, 89 completed measures. The two cohorts had similar baseline demographics. After adjustment, those caregivers who attended InS:PIRE demonstrated a significant improvement in symptoms of anxiety (OR: 0.42, 95% CI: 0.20–0.89, p = 0.02), carer strain (OR: 0.39; 95% CI: 0.16–0.98 p = 0.04) and clinical insomnia (OR: 0.40; 95% CI: 0.17–0.77 p < 0.001). There was no significant difference in symptoms of depression at 12 months. Conclusions This multicentre evaluation has shown that caregivers who attended an integrated health and social care intervention reported improved emotional health and less symptoms of insomnia, 12 months after the delivery of the intervention.
This study demonstrated the positive impact of nurse-led early triage for NSTE-ACS patients and that initial benefits have been sustained.
Background and Objectives Influenza causes significant annual burden among children. Current guidelines recommend empiric treatment for a broadly defined group of children at high risk for influenza complications, resulting in overtreatment or costly viral testing. This study creates an algorithm for clinicians to risk stratify children with influenza-like illness (ILI) according to likelihood of influenza infection. Methods A retrospective analysis was performed on 818 children seen in the emergency department from November 2012 to April 2013 for ILI. We reviewed medical records for symptoms, influenza risk factors, and viral assay results. Classification and regression tree analyses were performed separately for children older and younger than 2 years. Results In children younger than 2 years, populations likely to test positive were those with an influenza-positive contact, unimmunized children, and those presenting in high-incidence influenza periods. In this subgroup, immunized patients in low-incidence seasons and those with absence of cough are low risk for influenza infection. For children 2 years and older, high-risk populations were unimmunized children, those presenting in high-incidence influenza periods and those with myalgia or absence of diarrhea. Conclusions These risk-stratification analyses were summarized into Suspected Pediatric Influenza Risk-Stratification Algorithm (SPIRA). For those in whom influenza infection is likely, clinicians may consider empiric treatment. Conversely, patients whom SPIRA identifies as unlikely to be infected with influenza are candidates for viral testing and targeted treatment. In assessing children with ILI, SPIRA aids clinicians in determining who to test versus treat empirically, saving children from costly viral testing or unnecessary antiviral exposure.
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