Ontology highlight
ABSTRACT: Background
Patients with multimorbidities have the greatest healthcare needs and generate the highest expenditure in the health system. There is an increasing focus on identifying specific disease combinations for addressing poor outcomes. Existing research has identified a small number of prevalent "clusters" in the general population, but the limited number examined might oversimplify the problem and these may not be the ones associated with important outcomes. Combinations with the highest (potentially preventable) secondary care costs may reveal priority targets for intervention or prevention. We aimed to examine the potential of defining multimorbidity clusters for impacting secondary care costs.Methods and findings
We used national, Hospital Episode Statistics, data f
SUBMITTER: Stokes J
PROVIDER: S-EPMC7815339 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature