BMC Medicine (Jun 2023)

Disease-specific health spending by age, sex, and type of care in Norway: a national health registry study

  • Jonas Minet Kinge,
  • Joseph L. Dieleman,
  • Øystein Karlstad,
  • Ann Kristin Knudsen,
  • Søren Toksvig Klitkou,
  • Simon I. Hay,
  • Theo Vos,
  • Christopher J. L. Murray,
  • Stein Emil Vollset

DOI
https://doi.org/10.1186/s12916-023-02896-6
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 14

Abstract

Read online

Abstract Background Norway is a high-income nation with universal tax-financed health care and among the highest per person health spending in the world. This study estimates Norwegian health expenditures by health condition, age, and sex, and compares it with disability-adjusted life-years (DALYs). Methods Government budgets, reimbursement databases, patient registries, and prescription databases were combined to estimate spending for 144 health conditions, 38 age and sex groups, and eight types of care (GPs; physiotherapists & chiropractors; specialized outpatient; day patient; inpatient; prescription drugs; home-based care; and nursing homes) totaling 174,157,766 encounters. Diagnoses were in accordance with the Global Burden of Disease study (GBD). The spending estimates were adjusted, by redistributing excess spending associated with each comorbidity. Disease-specific DALYs were gathered from GBD 2019. Results The top five aggregate causes of Norwegian health spending in 2019 were mental and substance use disorders (20.7%), neurological disorders (15.4%), cardiovascular diseases (10.1%), diabetes, kidney, and urinary diseases (9.0%), and neoplasms (7.2%). Spending increased sharply with age. Among 144 health conditions, dementias had the highest health spending, with 10.2% of total spending, and 78% of this spending was incurred at nursing homes. The second largest was falls estimated at 4.6% of total spending. Spending in those aged 15–49 was dominated by mental and substance use disorders, with 46.0% of total spending. Accounting for longevity, spending per female was greater than spending per male, particularly for musculoskeletal disorders, dementias, and falls. Spending correlated well with DALYs (Correlation r = 0.77, 95% CI 0.67–0.87), and the correlation of spending with non-fatal disease burden (r = 0.83, 0.76–0.90) was more pronounced than with mortality (r = 0.58, 0.43–0.72). Conclusions Health spending was high for long-term disabilities in older age groups. Research and development into more effective interventions for the disabling high-cost diseases is urgently needed.

Keywords