Skip to main content
Top
Published in: BMC Medicine 1/2023

Open Access 01-12-2023 | Care | Research article

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

Authors: 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

Published in: BMC Medicine | Issue 1/2023

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
3.
go back to reference Kinge JM, Sælensminde K, Dieleman J, Vollset SE, Norheim OF. Economic losses and burden of disease by medical conditions in Norway. Health Policy. 2017;121(6):691–8.CrossRefPubMed Kinge JM, Sælensminde K, Dieleman J, Vollset SE, Norheim OF. Economic losses and burden of disease by medical conditions in Norway. Health Policy. 2017;121(6):691–8.CrossRefPubMed
4.
go back to reference Micah AE, Cogswell IE, Cunningham B, Ezoe S, Harle AC, Maddison ER, et al. Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990–2050. Lancet. 2021;398(10308):1317–43.CrossRef Micah AE, Cogswell IE, Cunningham B, Ezoe S, Harle AC, Maddison ER, et al. Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990–2050. Lancet. 2021;398(10308):1317–43.CrossRef
5.
go back to reference Bierl M, Marsh T, Webber L, Brown M, McPherson K, Rtveladze K. Apples and oranges: a comparison of costing methods for obesity. Obes Rev. 2013;14(9):693–706.CrossRefPubMed Bierl M, Marsh T, Webber L, Brown M, McPherson K, Rtveladze K. Apples and oranges: a comparison of costing methods for obesity. Obes Rev. 2013;14(9):693–706.CrossRefPubMed
6.
go back to reference Blakely T, Kvizhinadze G, Atkinson J, Dieleman J, Clarke P. Health system costs for individual and comorbid noncommunicable diseases: An analysis of publicly funded health events from New Zealand. PLoS Med. 2019;16(1):e1002716.CrossRefPubMedPubMedCentral Blakely T, Kvizhinadze G, Atkinson J, Dieleman J, Clarke P. Health system costs for individual and comorbid noncommunicable diseases: An analysis of publicly funded health events from New Zealand. PLoS Med. 2019;16(1):e1002716.CrossRefPubMedPubMedCentral
7.
go back to reference Roehrig C, Miller G, Lake C, Bryant J. National Health Spending By Medical Condition, 1996–2005: Mental disorders and heart conditions were found to be the most costly. Health Aff (Millwood). 2009;28(Suppl1):w358–67.CrossRefPubMed Roehrig C, Miller G, Lake C, Bryant J. National Health Spending By Medical Condition, 1996–2005: Mental disorders and heart conditions were found to be the most costly. Health Aff (Millwood). 2009;28(Suppl1):w358–67.CrossRefPubMed
8.
go back to reference Dieleman JL, Cao J, Chapin A, Chen C, Li Z, Liu A, et al. US health care spending by payer and health condition, 1996–2016. JAMA. 2020;323(9):863–84.CrossRefPubMedPubMedCentral Dieleman JL, Cao J, Chapin A, Chen C, Li Z, Liu A, et al. US health care spending by payer and health condition, 1996–2016. JAMA. 2020;323(9):863–84.CrossRefPubMedPubMedCentral
9.
go back to reference Wieser S, Riguzzi M, Pletscher M, Huber CA, Telser H, Schwenkglenks M. How much does the treatment of each major disease cost? A decomposition of Swiss National Health Accounts. Eur J Health Econ. 2018;19(8):1149–61.CrossRefPubMed Wieser S, Riguzzi M, Pletscher M, Huber CA, Telser H, Schwenkglenks M. How much does the treatment of each major disease cost? A decomposition of Swiss National Health Accounts. Eur J Health Econ. 2018;19(8):1149–61.CrossRefPubMed
10.
go back to reference Australian Institute of Health and Welfare. Disease Expenditure in Australia 2018–19. Canberra: Australian Institute of Health and Welfare; 2020. Australian Institute of Health and Welfare. Disease Expenditure in Australia 2018–19. Canberra: Australian Institute of Health and Welfare; 2020.
14.
go back to reference World Health Organization. International Classification of Primary Care (ICPC-2) World Health Organization. 2016. World Health Organization. International Classification of Primary Care (ICPC-2) World Health Organization. 2016.
16.
go back to reference Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Institute for Health Metrics and Evaluation (IHME); 2020. https://www.healthdata.org. Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Institute for Health Metrics and Evaluation (IHME); 2020. https://​www.​healthdata.​org.
17.
go back to reference Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–22.CrossRef Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–22.CrossRef
20.
go back to reference Bjørnelv GM, Halsteinli V, Kulseng BE, Sonntag D, Ødegaard RA. Modeling Obesity in Norway (The MOON Study): a decision-analytic approach—prevalence, costs, and years of life lost. Med Decis Making. 2021;41(1):21–36.CrossRefPubMed Bjørnelv GM, Halsteinli V, Kulseng BE, Sonntag D, Ødegaard RA. Modeling Obesity in Norway (The MOON Study): a decision-analytic approach—prevalence, costs, and years of life lost. Med Decis Making. 2021;41(1):21–36.CrossRefPubMed
21.
go back to reference The Norwegian Directorate of Health. Kostnadsnivå og produktivitet i psykisk helsevern og TSB 2014–2018 [in Norwegian]. Oslo: The Norwegian Directorate of Health; 2019. The Norwegian Directorate of Health. Kostnadsnivå og produktivitet i psykisk helsevern og TSB 2014–2018 [in Norwegian]. Oslo: The Norwegian Directorate of Health; 2019.
22.
go back to reference Bakken IJ, Ariansen AM, Knudsen GP, Johansen KI, Vollset SE. The Norwegian Patient Registry and the Norwegian Registry for Primary Health Care: Research potential of two nationwide health-care registries. Scand J Public Health. 2020;48(1):49–55.CrossRefPubMed Bakken IJ, Ariansen AM, Knudsen GP, Johansen KI, Vollset SE. The Norwegian Patient Registry and the Norwegian Registry for Primary Health Care: Research potential of two nationwide health-care registries. Scand J Public Health. 2020;48(1):49–55.CrossRefPubMed
23.
go back to reference The Norwegian Directorate of Health. Økonomisk evaluering av helsetiltak – en veileder [in Norwegian]. Oslo: The Norwegian Directorate of Health; 2012. The Norwegian Directorate of Health. Økonomisk evaluering av helsetiltak – en veileder [in Norwegian]. Oslo: The Norwegian Directorate of Health; 2012.
24.
go back to reference Brathaug AL. Conversation about services included in homebased care in the National Health Accounts. 2021. Brathaug AL. Conversation about services included in homebased care in the National Health Accounts. 2021.
27.
go back to reference Endel F, Weibrecht N. ATC-ICD: enabling domain experts to explore and evaluate machine learning models estimating diagnoses from filled predictions. Int J Popul Data Sci. 2019;4(3):150. Endel F, Weibrecht N. ATC-ICD: enabling domain experts to explore and evaluate machine learning models estimating diagnoses from filled predictions. Int J Popul Data Sci. 2019;4(3):150.
29.
go back to reference Baglioni C, Nanovska S, Regen W, Spiegelhalder K, Feige B, Nissen C, et al. Sleep and mental disorders: a meta-analysis of polysomnographic research. Psychol Bull. 2016;142(9):969.CrossRefPubMedPubMedCentral Baglioni C, Nanovska S, Regen W, Spiegelhalder K, Feige B, Nissen C, et al. Sleep and mental disorders: a meta-analysis of polysomnographic research. Psychol Bull. 2016;142(9):969.CrossRefPubMedPubMedCentral
32.
go back to reference Goss J, Jerga A, Mann N, Ho J, Stevenson C. Health system expenditure on disease and injury in Australia: 2000–01. Health system expenditure on disease and injury in Australia: 2000–01. 2004. Goss J, Jerga A, Mann N, Ho J, Stevenson C. Health system expenditure on disease and injury in Australia: 2000–01. Health system expenditure on disease and injury in Australia: 2000–01. 2004.
33.
go back to reference Mueller M, Bourke E, Morgan D. Assessing the comparability of long-term care spending estimates under the Joint Health Accounts questionnaire. Paris: OECD; 2020. Mueller M, Bourke E, Morgan D. Assessing the comparability of long-term care spending estimates under the Joint Health Accounts questionnaire. Paris: OECD; 2020.
34.
go back to reference Hernæs KH, Brathaug AL. Helseregnskapet–et internasjonalt system. Økonomiske analyser. 2012;2012(2):18–23. Hernæs KH, Brathaug AL. Helseregnskapet–et internasjonalt system. Økonomiske analyser. 2012;2012(2):18–23.
37.
go back to reference Vollset SE, Goren E, Yuan C-W, Cao J, Smith AE, Hsiao T, et al. Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. Lancet. 2020;396(10258):1285–306.CrossRefPubMedPubMedCentral Vollset SE, Goren E, Yuan C-W, Cao J, Smith AE, Hsiao T, et al. Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. Lancet. 2020;396(10258):1285–306.CrossRefPubMedPubMedCentral
38.
go back to reference Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet. 2018;392(10159):2052–90.CrossRefPubMedPubMedCentral Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet. 2018;392(10159):2052–90.CrossRefPubMedPubMedCentral
39.
go back to reference Moe JO, Hagen TP. Trends and variation in mild disability and functional limitations among older adults in Norway, 1986–2008. Eur J Ageing. 2011;8(1):49–61.CrossRefPubMedPubMedCentral Moe JO, Hagen TP. Trends and variation in mild disability and functional limitations among older adults in Norway, 1986–2008. Eur J Ageing. 2011;8(1):49–61.CrossRefPubMedPubMedCentral
40.
go back to reference Arango C, Díaz-Caneja CM, McGorry PD, Rapoport J, Sommer IE, Vorstman JA, et al. Preventive strategies for mental health. Lancet Psychiatry. 2018;5(7):591–604.CrossRefPubMed Arango C, Díaz-Caneja CM, McGorry PD, Rapoport J, Sommer IE, Vorstman JA, et al. Preventive strategies for mental health. Lancet Psychiatry. 2018;5(7):591–604.CrossRefPubMed
42.
go back to reference Selbaek G, Kirkevold Ø, Engedal K. The prevalence of psychiatric symptoms and behavioural disturbances and the use of psychotropic drugs in Norwegian nursing homes. Int J Geriatr Psychiatry. 2007;22(9):843–9.CrossRefPubMed Selbaek G, Kirkevold Ø, Engedal K. The prevalence of psychiatric symptoms and behavioural disturbances and the use of psychotropic drugs in Norwegian nursing homes. Int J Geriatr Psychiatry. 2007;22(9):843–9.CrossRefPubMed
43.
go back to reference Velandia PP, Miller-Petrie MK, Chen C, Chakrabarti S, Chapin A, Hay S, et al. Global and regional spending on dementia care from 2000–2019 and expected future health spending scenarios from 2020–2050: an economic modelling exercise. EClinicalMedicine. 2022;45:101337.CrossRefPubMedPubMedCentral Velandia PP, Miller-Petrie MK, Chen C, Chakrabarti S, Chapin A, Hay S, et al. Global and regional spending on dementia care from 2000–2019 and expected future health spending scenarios from 2020–2050: an economic modelling exercise. EClinicalMedicine. 2022;45:101337.CrossRefPubMedPubMedCentral
44.
go back to reference Cummings J, Aisen P, Apostolova LG, Atri A, Salloway S, Weiner M. Aducanumab: Appropriate Use Recommendations. J Prev Alzheimers Dis. 2021;8(4):398–410.PubMedPubMedCentral Cummings J, Aisen P, Apostolova LG, Atri A, Salloway S, Weiner M. Aducanumab: Appropriate Use Recommendations. J Prev Alzheimers Dis. 2021;8(4):398–410.PubMedPubMedCentral
45.
go back to reference Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, et al. Defeating Alzheimer’s disease and other dementias: a priority for European science and society. Lancet Neurol. 2016;15(5):455–532.CrossRefPubMed Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, et al. Defeating Alzheimer’s disease and other dementias: a priority for European science and society. Lancet Neurol. 2016;15(5):455–532.CrossRefPubMed
46.
go back to reference McDaid D. Estimating the costs of informal care for people with Alzheimer’s disease: methodological and practical challenges. Int J Geriatr Psychiatry. 2001;16(4):400–5.CrossRefPubMed McDaid D. Estimating the costs of informal care for people with Alzheimer’s disease: methodological and practical challenges. Int J Geriatr Psychiatry. 2001;16(4):400–5.CrossRefPubMed
47.
go back to reference Norwegian Directorate of Health. Samfunnskostnader ved sykdom og ulykker [nettdokument]. Oslo: Norwegian Directorate of Health; 2019. Norwegian Directorate of Health. Samfunnskostnader ved sykdom og ulykker [nettdokument]. Oslo: Norwegian Directorate of Health; 2019.
Metadata
Title
Disease-specific health spending by age, sex, and type of care in Norway: a national health registry study
Authors
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
Publication date
01-12-2023
Publisher
BioMed Central
Keyword
Care
Published in
BMC Medicine / Issue 1/2023
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-023-02896-6

Other articles of this Issue 1/2023

BMC Medicine 1/2023 Go to the issue