IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v154y2025ics0168851025000284.html
   My bibliography  Save this article

Determinants and associated costs of unmet healthcare need and their association with resource allocation. Insights from Finland

Author

Listed:
  • Nguyen, Lien
  • Häkkinen, Unto

Abstract

The Finnish counties’ allocation formulae for welfare services are based on utilisation collected from national registers and do not account for unmet needs. We investigated factors associated with self-reported unmet healthcare need and associated costs of primary and total healthcare, as well as the association between regional variation in unmet needs and utilisation-based need. The 2017–2018 FinSote survey data were matched with 2017 register data (n = 13,800). Costs of healthcare visits were used as a proxy for utilisation. We applied three logit regressions to explore factors related to self-reported unmet need and eight two-part models to analyse cost data. Analysis weights were developed and used. Those reporting unmet need were female, unemployed and foreign-born, and had multiple morbidities and poor self-assessed health. The highest income quintile and good self-rated quality of life were negatively associated with self-reported unmet need. A person with unmet needs spent an additional €32.2–183.9 and €269.7–963.7 yearly on primary and total healthcare, respectively. Regional differences in self-reported unmet need were not fully correlated with the need indices used in the regional resource allocation. To account for unmet need in budget allocations, self-reported unmet need and quality of life data should be collected more extensively and routinely. Addressing unmet need should be viewed as a long-term investment in primary care to reduce avoidable health inequalities.

Suggested Citation

  • Nguyen, Lien & Häkkinen, Unto, 2025. "Determinants and associated costs of unmet healthcare need and their association with resource allocation. Insights from Finland," Health Policy, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:hepoli:v:154:y:2025:i:c:s0168851025000284
    DOI: 10.1016/j.healthpol.2025.105272
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851025000284
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.healthpol.2025.105272?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Willard G. Manning, Jr. & Joseph P. Newhouse & John E. Ware, Jr., 1982. "The Status of Health in Demand Estimation; or, Beyond Excellent, Good, Fair, Poor," NBER Chapters, in: Economic Aspects of Health, pages 141-184, National Bureau of Economic Research, Inc.
    2. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    3. Grant Gibson & Michel Grignon & Jeremiah Hurley & Li Wang, 2019. "Here comes the SUN: Self‐assessed unmet need, worsening health outcomes, and health care inequity," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 727-735, June.
    4. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    5. Willard Manning, 2012. "Dealing with Skewed Data on Costs and Expenditures," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 44, Edward Elgar Publishing.
    6. Federico Belotti & Partha Deb & Willard G. Manning & Edward C. Norton, 2015. "twopm: Two-part models," Stata Journal, StataCorp LLC, vol. 15(1), pages 3-20, March.
    7. Marion Devaux, 2015. "Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 21-33, January.
    8. Sabine Chaupain-Guillot & Olivier Guillot, 2015. "Health system characteristics and unmet care needs in Europe: an analysis based on EU-SILC data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(7), pages 781-796, September.
    9. Maria Jose Aragon Aragon & Martin Chalkley & Maria Goddard, 2017. "Defining and measuring unmet need to guide healthcare funding:identifying and filling the gaps," Working Papers 141cherp, Centre for Health Economics, University of York.
    10. Weiss, L.J. & Blustein, J., 1996. "Faithful patients: The effect of long-term physician-patient relationships on the costs and use of health care by older Americans," American Journal of Public Health, American Public Health Association, vol. 86(12), pages 1742-1747.
    11. Allin, Sara & Grignon, Michel & Le Grand, Julian, 2010. "Subjective unmet need and utilization of health care services in Canada: What are the equity implications?," Social Science & Medicine, Elsevier, vol. 70(3), pages 465-472, February.
    12. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    13. Ko, Hansoo, 2016. "Unmet healthcare needs and health status: Panel evidence from Korea," Health Policy, Elsevier, vol. 120(6), pages 646-653.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlota Quintal & Luis Moura Ramos & Micaela Antunes & Óscar Lourenço, 2023. "Unmet healthcare needs among the population aged 50+ and their association with health outcomes during the COVID-19 pandemic," European Journal of Ageing, Springer, vol. 20(1), pages 1-14, December.
    2. Kurt Lavetti & Thomas DeLeire & Nicolas R. Ziebarth, 2023. "How do low‐income enrollees in the Affordable Care Act marketplaces respond to cost‐sharing?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(1), pages 155-183, March.
    3. Carnazza, Giovanni & Liberati, Paolo & Resce, Giuliano, 2023. "Income-related unmet needs in the European countries," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Moran, Valerie & Nolte, Ellen & Suhrcke, Marc & Ruiz-Castell, Maria, 2025. "Investigating the relationship between unmet need and utilisation of health care in European countries," Social Science & Medicine, Elsevier, vol. 369(C).
    5. Ramos, Luís Moura & Quintal, Carlota & Lourenço, Óscar & Antunes, Micaela, 2019. "Unmet needs across Europe: Disclosing knowledge beyond the ordinary measure," Health Policy, Elsevier, vol. 123(12), pages 1155-1162.
    6. Brilleman, Samuel L. & Gravelle, Hugh & Hollinghurst, Sandra & Purdy, Sarah & Salisbury, Chris & Windmeijer, Frank, 2014. "Keep it simple? Predicting primary health care costs with clinical morbidity measures," Journal of Health Economics, Elsevier, vol. 35(C), pages 109-122.
    7. Seghieri, Chiara & Berta, Paolo & Nuti, Sabina, 2019. "Geographic variation in inpatient costs for Acute Myocardial Infarction care: Insights from Italy," Health Policy, Elsevier, vol. 123(5), pages 449-456.
    8. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    9. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    10. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    11. Carole Roan Gresenz & Jeanette A. Rogowski & Jose Escarce, 2004. "Healthcare Markets, the Safety Net and Access to Care Among the Uninsured," NBER Working Papers 10799, National Bureau of Economic Research, Inc.
    12. Partha Deb & Murat K. Munkin & Pravin K. Trivedi, 2006. "Bayesian analysis of the two‐part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099, November.
    13. Joel Smith & Helen Banks & Harry Campbell & Anne Douglas & Eilidh Fletcher & Alison McCallum & Tron Anders Moger & Mikko Peltola & Sofia Sveréus & Sarah Wild & Linda J. Williams & John Forbes & on beh, 2015. "Parameter Heterogeneity In Breast Cancer Cost Regressions – Evidence From Five European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 23-37, December.
    14. Quintal, Carlota & Lourenço, Óscar & Ramos, Luís Moura & Antunes, Micaela, 2019. "No unmet needs without needs! Assessing the role of social capital using data from European social survey 2014," Health Policy, Elsevier, vol. 123(8), pages 747-755.
    15. Giampiero Marra & Matteo Fasiolo & Rosalba Radice & Rainer Winkelmann, 2023. "A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1305-1322, June.
    16. Marwan Benali & Bernhard Brümmer & Victor Afari‐Sefa, 2018. "Smallholder participation in vegetable exports and age‐disaggregated labor allocation in Northern Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 549-562, September.
    17. Jean‐Paul Chaze, 2005. "Assessing household health expenditure with Box–Cox censoring models," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 893-907, September.
    18. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    19. Anirban Basu & Bhakti V. Arondekar & Paul J. Rathouz, 2006. "Scale of interest versus scale of estimation: comparing alternative estimators for the incremental costs of a comorbidity," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1091-1107, October.
    20. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2015. "The influence of obesity and overweight on medical costs: a panel data perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 161-173, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:hepoli:v:154:y:2025:i:c:s0168851025000284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.