From: A systematic review of the clinical application of data-driven population segmentation analysis
Objective (themes) | No. of studies | Examples |
---|---|---|
Resource Allocation | 12 | Patients were grouped into segments with distinct care utilization, based on six utilization variables: non-elective inpatient admissions, elective inpatient admissions, outpatient visits, GP practice visits, GP home visits, and prescriptions, creating eight distinct care user types [6]. |
Health /Prognostic Index | 17 | Patients were divided into groups that will have similar risk of atrial fibrillation after coronary artery bypass graft, facilitating informed decision making regarding aggressive prophylaxis of atrial fibrillation [72]. |
Health Grouping / Profiling | 216 | Individuals were divided into groups based on their dietary patterns: ‘traditional fish eaters’, ‘healthy eaters’, ‘average, less fish, less healthy’, ‘Western’, ‘traditional bread eaters’, and ‘alcohol users’ [73]. |
Delivery of Healthcare Interventions | 50 | Participants in the Wellington Respiratory Survey were divided based on five distinct clinical phenotypes of airflow obstruction which may form the basis of a modified taxonomy for the disorders of airways obstruction and treatment specifically targeted at defined phenotypic groups, rather than asthma or COPD in general, which represents the current management approach [74]. |