Browsing by Person "Donaghy, Eddie"

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Polypharmacy and emergency readmission to hospital after critical illness: A population-level cohort study
(Elsevier, 2020-10-31) Turnbull, Angus J.; Donaghy, Eddie; Salisbury, Lisa; Ramsay, Pamela; Rattray, Janice; Walsh, Timothy; Lone, Nazir
Polypharmacy is common and closely linked to drug interactions. The impact of polypharmacy has not been previously quantified in survivors of critical illness who have reduced resilience to stressors. Our aim was to identify factors associated with preadmission polypharmacy and ascertain whether polypharmacy is an independent risk factor for emergency readmission to hospital after discharge from a critical illness. A population-wide cohort study consisting of patients admitted to all Scottish general ICUs between January 1, 2011 and December 31, 2013, whom survived their ICU stay. Patients were stratified by presence of preadmission polypharmacy, defined as being prescribed five or more regular medications. The primary outcome was emergency hospital readmission within 1 yr of discharge from index hospital stay. Of 23 844 ICU patients, 29.9% were identified with polypharmacy (n=7138). Factors associated with polypharmacy included female sex, increasing age, and social deprivation. Emergency 1-yr hospital readmission was significantly higher in the polypharmacy cohort (51.8% vs 35.8%, P<0.001). After confounder adjustment, patients with polypharmacy had a 22% higher hazard of emergency 1-yr readmission (adjusted hazard ratio 1.22, 95% confidence interval 1.16-1.28, P<0.001). On a linear scale of polypharmacy each additional prescription conferred a 3% increase in hazard of emergency readmission by 1 yr (adjusted hazard ratio 1.03, 95% confidence interval 1.02-1.03, P<0.001). This national cohort study of ICU survivors demonstrates that preadmission polypharmacy is an independent risk factor for emergency readmission. In an ever-growing era of polypharmacy, this risk factor may represent a substantial burden in the at-risk post-intensive care population.
Predicting risk of unplanned hospital readmission in survivors of critical illness: A population-level cohort study
(2018-04-06) Lone, Nazir; Lee, Robert J.; Salisbury, Lisa; Donaghy, Eddie; Ramsay, Pamela; Rattray, Janice; Walsh, Timothy S.
Background Intensive care unit (ICU) survivors experience high levels of morbidity after hospital discharge and are at high risk of unplanned hospital readmission. Identifying those at highest risk before hospital discharge may allow targeting of novel risk reduction strategies. We aimed to identify risk factors for unplanned 90-day readmission, develop a risk prediction model and assess its performance to screen for ICU survivors at highest readmission risk. Methods Population cohort study linking registry data for patients discharged from general ICUs in Scotland (2005-2013). Independent risk factors for 90-day readmission and discriminant ability (c-index) of groups of variables were identified using multivariable logistic regression. Derivation and validation risk prediction models were constructed using a time-based split. Results Of 55 975 ICU survivors, 24.1% (95%CI 23.7% to 24.4%) had unplanned 90-day readmission. Pre-existing health factors were fair discriminators of readmission (c-index 0.63, 95%-CI 0.63 to 0.64) but better than acute illness factors (0.60) or demographics (0.54). In a subgroup of those with no comorbidity, acute illness factors (0.62) were better discriminators than pre-existing health factors (0.56). Overall model performance and calibration in the validation cohort was fair (0.65, 95%-CI 0.64 to 0.66) but did not perform sufficiently well as a screening tool, demonstrating high false-positive/false-negative rates at clinically relevant thresholds. Conclusions Unplanned 90-day hospital readmission is common. Pre-existing illness indices are better predictors of readmission than acute illness factors. Identifying additional patient-centred drivers of readmission may improve risk prediction models. Improved understanding of risk factors that are amenable to intervention could improve the clinical and cost-effectiveness of post-ICU care and rehabilitation.
PReventing early unplanned hOspital readmission aFter critical ILlnEss (PROFILE): protocol and analysis framework for a mixed methods study
(2016-06-28) Walsh, Timothy S.; Salisbury, Lisa; Donaghy, Eddie; Ramsay, Pamela; Lee, Robert J.; Rattray, Janice; Lone, Nazir
Introduction: Survivors of critical illness experience multidimensional disabilities that reduce quality of life, and 25-30% require unplanned hospital readmission within 3 months following index hospitalisation. We aim to understand factors associated with unplanned readmission; develop a risk model to identify intensive care unit (ICU) survivors at highest readmission risk; understand the modifiable and non-modifiable readmission drivers; and develop a risk assessment tool for identifying patients and areas for early intervention. Methods and analysis: We will use mixed methods with concurrent data collection. Quantitative data will comprise linked healthcare records for adult Scottish residents requiring ICU admission (1 January 2000-31 December 2013) who survived to hospital discharge. The outcome will be unplanned emergency readmission within 90 days of index hospital discharge. Exposures will include pre-ICU demographic data, comorbidities and health status, and critical illness variables representing illness severity. Regression analyses will be used to identify factors associated with increased readmission risk, and to develop and validate a risk prediction model. Qualitative data will comprise recorded/transcribed interviews with up to 60 patients and carers recently experiencing unplanned readmissions in three health board regions. A deductive and inductive thematic analysis will be used to identify factors contributing to readmissions and how they may interact. Through iterative triangulation of quantitative and qualitative data, we will develop a construct/ taxonomy that captures reasons and drivers for unplanned readmission. We will validate and further refine this in focus groups with patients/carers who experienced readmissions in six Scottish health board regions, and in consultation with an independent expert group. A tool will be developed to screen for ICU survivors at risk of readmission and inform anticipatory interventions.
Unplanned early hospital readmission among critical care survivors: a mixed methods study of patients and carers
(BMJ Publishing Group, 2018-05-31) Donaghy, Eddie; Salisbury, Lisa; Lone, Nazir I.; Lee, Robert; Ramsey, Pamela; Rattray, Janice E.; Walsh, Timothy Simon; ** Funder: Chief Scientist Office; FundRef: http://dx.doi.org/10.13039/501100000589
Background: Many intensive care (ICU) survivors experience early unplanned hospital readmission, but the reasons and potential prevention strategies are poorly understood. We aimed to understand contributors to readmissions from the patient/carer perspective. Methods: This is a mixed methods study with qualitative data taking precedence. Fifty-eight ICU survivors and carers who experienced early unplanned rehospitalisation were interviewed. Thematic analysis was used to identify factors contributing to readmissions, and supplemented with questionnaire data measuring patient comorbidity and carer strain, and importance rating scales for factors that contribute to readmissions in other patient groups. Data were integrated iteratively to identify patterns, which were discussed in five focus groups with different patients/carers who also experienced readmissions. Major patterns and contexts in which unplanned early rehospitalisation occurred in ICU survivors were described. Results: Interviews suggested 10 themes comprising patient-level and system-level issues. Integration with questionnaire data, pattern exploration and discussion at focus groups suggested two major readmission contexts. A ‘complex health and psychosocial needs’ context occurred in patients with multimorbidity and polypharmacy, who frequently also had significant psychological problems, mobility issues, problems with specialist aids/equipment and fragile social support. These patients typically described inadequate preparation for hospital discharge, poor communication between secondary/primary care, and inadequate support with psychological care, medications and goal setting. This complex multidimensional situation contrasted markedly with the alternative ‘medically unavoidable’ readmission context. In these patients medical issues/complications primarily resulted in hospital readmission, and the other issues were absent or not considered important. Conclusions: Although some readmissions are medically unavoidable, for many ICU survivors complex health and psychosocial issues contribute concurrently to early rehospitalisation. Care pathways that anticipate and institute anticipatory multifaceted support for these patients merit further development and evaluation.