Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Citations 2
Assessing Family Caregiver Readiness for Hospital Discharge of Patients With Serious or Life‐Limiting Illness Using Electronic Health Record and Self‐Reported Data
ABSTRACTObjectiveTo assess how patient and caregiver factors influence caregiver readiness for hospital discharge in palliative care patients.Study Setting and DesignThis transitional care study uses cross‐sectional data from a randomized controlled trial conducted from 2018 to 2023 testing an intervention for caregivers of hospitalized adult patients with a serious or life‐limiting illness who received a palliative care consult prior to transitioning out of the hospital.Data Sources and Analytical SampleCaregiver readiness was measured with the Family Readiness for Hospital Discharge Scale (n = 231). Caregiver demographic, intra‐ and interpersonal factors were self‐reported. Patient demographic, comorbidity score, and risk score for complicated discharge planning were extracted from electronic health records. Stepwise regression models estimated variance explained (r2) in caregiver readiness for patient hospital discharge.Principal FindingsPatient demographics and complexity were not statistically associated with caregiver readiness for discharge. Caregiver depressive symptoms, poor caregiver‐patient relationship quality, and fewer hours spent caregiving prior to hospitalization explained 29% of the variance in caregiver readiness.ConclusionsReliance on patient data may not be sufficient for explaining caregiver readiness for discharge. Assessing caregiver factors may be a better alternative for identifying caregivers at risk for low discharge readiness and those in need of additional support.Trial Registration: ClinicalTrials.gov on November 13, 2017, (No. NCT03339271)
Medical and nursing home costs: From cognitively unimpaired through dementia
AbstractIntroductionEfforts to model the cost‐effectiveness of managing/modifying cognitive impairment lack reliable, objective, baseline medical, and nursing‐home (NH) costs.MethodsA stratified‐random sample of Olmsted County, MN, residents ages 70–89 years (N = 3545), well‐characterized as cognitively unimpaired, mild cognitive impairment (MCI), or dementia, were followed forward ≤1 year in provider‐linked billing data and the Centers for Medicare & Medicaid Services NH assessments. Direct medical/nursing home/medical + NH costs were estimated. Costs were stratified by vital status and NH‐use intensity (NH days/follow‐up days [0%, 1% to 24%, 25% to 99%, and 100%]). Between‐category mean‐annual cost differences were adjusted for patient characteristics and follow‐up days.ResultsCosts/follow‐up day distributions differed significantly across cognitive categories. Mean costs/follow‐up days were 2.5 to 18 times higher for decedents versus survivors. Among all persons with MCI, <9% with any NH use accounted for 18% of all total annual medical + NH costs. Adjusted‐between‐category comparisons revealed significantly higher medical and medical + NH costs for MCI versus cognitively unimpaired.DiscussionCost‐effectiveness for managing/modifying both MCI and dementia should consider end‐of‐life costs and NH‐use intensity. Results can help inform cost‐effectiveness models, predict future‐care needs, and aid decision‐making by individuals/providers/payers/policymakers.