We examine the relationship between long-term care supply (care home beds and prices) and (i) the probability of being discharged to a care home and (ii) length of stay in hospital for patients admitted to hospital for hip fracture or stroke. Using patient level data from all English hospitals and allowing for a rich set of demographic and clinical factors, we find no association between discharge destination and long-term care beds supply or prices. We do, however, find evidence of bed blocking: hospital length of stay for hip fracture patients discharged to a care home is shorter in areas with more long-term care beds and lower prices. Length of stay is over 30% shorter in areas in the highest quintile of care home beds supply compared to those in the lowest quintile.
We analyse variations in cost or length of stay (LoS) for 66 587 patients from 10 European countries receiving a coronary artery bypass graft (CABG) procedure. In five of these countries, variations in cost are analysed using log-linear models. In the other five countries, negative binomial regression models are used to explore variations in LoS. We compare how well each country's diagnosis-related group (DRG) system and a set of patient-level characteristics explain these variations. The most important explanatory factors are the total number of diagnoses and procedures, although no clear effects are evident for our CABG-specific diagnostic and procedural variables. Wound infections significantly increase LoS and costs in most countries. There is no evidence that countries using larger numbers of DRGs to group CABG patients are better at explaining variations in cost or LoS. However, refinements to the construction of DRGs to group CABG patients might recognise first and subsequent CABGs or other specific surgical procedures, such as multiple valve repair.
Delayed discharges of patients from hospital, commonly known as bedblocking, are a long-standing policy concern. Delays can increase the overall cost of treatment and may worsen patient outcomes. We investigate how delayed discharges vary by hospital type (Acute, Specialist, Mental Health, Teaching) and the extent to which such differences can be explained by demography, case mix, hospital quality, the availability of long-term care, and hospital governance as reflected in whether the hospital has Foundation Trust status, which gives greater autonomy and flexibility in staffing and pay. We use a new panel database of delays in all English NHS hospital Trusts from 2011-12 to 2013-14. Employing count data models, we find that a greater local supply of long-term care (care-home beds) is associated with fewer delays. * Submitted December 2015.
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Fiscal StudiesHospitals that are Foundation Trusts have fewer delayed discharges and might therefore be used as exemplars of good practice in managing delays. Mental Health Trusts have more delayed discharges than Acute Trusts, but a smaller proportion of them are attributed to the NHS, possibly indicating a relatively greater lack of adequate community care for mental health patients.
Policy pointsr Foundation Trusts have fewer delayed discharges and might therefore be used as exemplars of good practice in managing delays.r Mental Health Trusts incur more delays with a higher proportion outside the control of the NHS. This may indicate unmet need for mental health patients, and possible lack of coordination over provision of social care.r Greater local provision of long-term care beds in care homes reduces delayed discharges in hospitals, confirming the importance of coordinating health and social care.
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