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Setting priorities in injury prevention: the application of an incidence based cost model

¹ Consumer Safety Institute, Amsterdam, the Netherlands
² Department of Public Health, Erasmus University Rotterdam, Rotterdam, the Netherlands

Correspondence to:
Dr Saakje Mulder, Consumer Safety Institute, PO Box 75169, 1070 AD Amsterdam, the Netherlands;
S.Mulder{at}consafe.nl

Objectives: To make detailed calculations on the direct medical costs of injuries in the Netherlands to support priority setting in prevention.

Methods: A computerised, incidence based model for cost calculations was developed and incidence figures derived from the Dutch Injury Surveillance System (LIS) which provides national estimates of the annual number of patients treated at an emergency department. A comprehensive set of cost elements (that is, health care segments) was obtained from health care registrations and a LIS patient survey. Patients were assigned to specific groups based on LIS characteristics (for example, age, injury type). Average costs per patient group were calculated for each cost element and total costs estimated by adding costs for all patient groups.

Results: The direct costs of injury average 2000 guilders per injury patient attending an emergency department. Home and leisure injuries account for over half of the costs, although cost per patient is highest for motor vehicle injuries. Injuries to the lower extremities account for almost half of the total costs and are incurred mainly in the home or recreation. Motor vehicle crashes are the major cause of head injuries.

Conclusions: The model permits continuous and detailed monitoring of injury costs. Estimates can be compiled for any LIS patient group or injury subcategory. The results can be used to rank injuries for prioritisation of prevention by injury categories (for example, traffic, home, or leisure), or by specific scenarios (for example, fall at home).

Keywords: injury cost; surveillance data; priority setting

Abbreviations: LIS, Dutch Injury Surveillance System; LMR, National Database of Hospitalised Patients, LIVRE, National Information System for Rehabilitation; SIVIS, National Nursing Home Information System