Predictors of Home Care Costs Among Persons With Dementia, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis in Ontario.
Clare ChengJohn P HirdesGeorge HeckmanJeff PossPublished in: Health services insights (2020)
Home care is an important service for persons with neurological conditions, but little is known about factors affecting health care costs in this setting. Using administrative data collected with the Resident Assessment Instrument for Home Care (RAI-HC), this study identified factors associated with home care costs for recipients of home care services with Alzheimer disease or related dementias, multiple sclerosis, and/or amyotrophic lateral sclerosis. As part of this study, the effectiveness of the Resource Utilization Groups for Home Care (RUG-III/HC), a case-mix classification system developed for the RAI-HC, in predicting care costs for this population, was also tested. Clinical characteristics indicative of greater disease severity had high levels of significance in predicting home care costs. In particular, the RUG-III/HC was highly predictive of home care costs for 3 neurological conditions, indicating the validity of this case-mix system for this population. With the increasing prevalence of neurological conditions and demand for home care services, future studies should continue to focus on identifying specific predictors care costs for those with neurological conditions in this care setting.
Keyphrases
- healthcare
- amyotrophic lateral sclerosis
- multiple sclerosis
- palliative care
- primary care
- mental health
- randomized controlled trial
- mild cognitive impairment
- systematic review
- machine learning
- risk factors
- electronic health record
- cerebral ischemia
- pain management
- big data
- brain injury
- subarachnoid hemorrhage
- current status
- white matter
- artificial intelligence
- data analysis
- clinical evaluation