IDEAS home Printed from https://ideas.repec.org/a/plo/pmen00/0000206.html
   My bibliography  Save this article

Estimating the effects of Basic Income schemes on mental and physical health among adults aged 18 and above in the UK: A microsimulation study

Author

Listed:
  • Howard Robert Reed
  • Elliott Aidan Johnson
  • Graham Stark
  • Daniel Nettle
  • Kate E Pickett
  • Matthew Thomas Johnson

Abstract

Basic Income is a largely unconditional, regular payment to all permanent residents to support basic needs. It has been proposed as an upstream health intervention by increasing income size and security. Modelling has quantified prospective effects on UK young people’s mental health. This paper extends this analysis to mental and physical health among adults aged 18+ using data from the 2021/22 Family Resources Survey and 12 waves (2009/11-2020/22) of Understanding Society to model the effects of three prospective schemes: 1) (£ per week) £50 per under-18, £75 per 18–64, £205 per 65+; 2) £75, £185, £205; 3) £100, £295, £295. We estimated effects on cases of depressive disorders (SF-12 MCS ≤45.6) and physical health problems (SF-12 PCS ≤50), quality-adjusted life years (QALYs) and willingness-to-pay value gained, as well as direct NHS, personal social services and patients’ associated costs savings regarding depressive disorders. Between 124,000 (95% CI: 86,000–150,000) and 1.005m (95% CI: 845,000–1.402m) cases of depressive disorders and 118,000 (70,000–156,000) to 1.042m (881,000–1.612m) cases of physical health problems could be prevented or postponed each year depending on the scheme. 129,000 (86,000–172,000) to 655,000 (440,000–870,000) QALYs could be gained, valued at £3.87bn (£2.58bn–£5.16bn) to £19.65bn (£13.21bn–£26.10bn). Estimated 2023 NHS and personal social services cost savings are between £126m (£88m–£154m) and £1.026bn (£872m–£1.432bn) assuming 50% of depressive disorders cases are diagnosed and treated at baseline. Estimating savings based on physical health problems is more difficult, but may reflect far greater related NHS and social care spend. Although non-income change impacts are not microsimulated, these findings indicate that Basic Income could provide substantial population health benefits, social return on investment and health and social care system savings. This gives policymakers and researchers an evidence base on which to base trial and policy design. Basic Income; Social determinants; Prevention; Upstream interventions; Microsimulation modelling.

Suggested Citation

  • Howard Robert Reed & Elliott Aidan Johnson & Graham Stark & Daniel Nettle & Kate E Pickett & Matthew Thomas Johnson, 2024. "Estimating the effects of Basic Income schemes on mental and physical health among adults aged 18 and above in the UK: A microsimulation study," PLOS Mental Health, Public Library of Science, vol. 1(7), pages 1-20, December.
  • Handle: RePEc:plo:pmen00:0000206
    DOI: 10.1371/journal.pmen.0000206
    as

    Download full text from publisher

    File URL: https://journals.plos.org/mentalhealth/article?id=10.1371/journal.pmen.0000206
    Download Restriction: no

    File URL: https://journals.plos.org/mentalhealth/article/file?id=10.1371/journal.pmen.0000206&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pmen.0000206?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
    ---><---

    References listed on IDEAS

    as
    1. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    2. Kerris Cooper & Kitty Stewart, 2021. "Does Household Income Affect children’s Outcomes? A Systematic Review of the Evidence," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(3), pages 981-1005, June.
    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. Samer A. Kharroubi & Yara Beyh & Marwa Diab El Harake & Dalia Dawoud & Donna Rowen & John Brazier, 2020. "Examining the Feasibility and Acceptability of Valuing the Arabic Version of SF-6D in a Lebanese Population," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    2. Nick Bansback & Huiying Sun & Daphne P. Guh & Xin Li & Bohdan Nosyk & Susan Griffin & Paul G. Barnett & Aslam H. Anis, 2008. "Impact of the recall period on measuring health utilities for acute events," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1413-1419.
    3. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    4. Francesca Cornaglia & Naomi E. Feldman & Andrew Leigh, 2014. "Crime and Mental Well-Being," Journal of Human Resources, University of Wisconsin Press, vol. 49(1), pages 110-140.
    5. Ratcliffe, Julie & Huynh, Elisabeth & Chen, Gang & Stevens, Katherine & Swait, Joffre & Brazier, John & Sawyer, Michael & Roberts, Rachel & Flynn, Terry, 2016. "Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm," Social Science & Medicine, Elsevier, vol. 157(C), pages 48-59.
    6. Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement," Medical Decision Making, , vol. 35(6), pages 1-8, August.
    7. Anirban Basu & William Dale & Arthur Elstein & David Meltzer, 2009. "A linear index for predicting joint health‐states utilities from single health‐states utilities," Health Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 403-419, April.
    8. McCabe, Christopher & Brazier, John & Gilks, Peter & Tsuchiya, Aki & Roberts, Jennifer & O'Hagan, Anthony & Stevens, Katherine, 2006. "Using rank data to estimate health state utility models," Journal of Health Economics, Elsevier, vol. 25(3), pages 418-431, May.
    9. J. Carter Braxton & Nisha Chikhale & Kyle F. Herkenhoff & Gordon M. Phillips, 2024. "Intergenerational Mobility and Credit," NBER Working Papers 32031, National Bureau of Economic Research, Inc.
    10. Thomas Reinhold & Claudia Witt & Susanne Jena & Benno Brinkhaus & Stefan Willich, 2008. "Quality of life and cost-effectiveness of acupuncture treatment in patients with osteoarthritis pain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(3), pages 209-219, August.
    11. Kontodimopoulos, Nick & Niakas, Dimitris, 2008. "An estimate of lifelong costs and QALYs in renal replacement therapy based on patients' life expectancy," Health Policy, Elsevier, vol. 86(1), pages 85-96, April.
    12. Allanson, Paul, 2017. "Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data," Social Science & Medicine, Elsevier, vol. 175(C), pages 72-80.
    13. Andrew M. Jones & Audrey Laporte & Nigel Rice & Eugenio Zucchelli, 2019. "Dynamic panel data estimation of an integrated Grossman and Becker–Murphy model of health and addiction," Empirical Economics, Springer, vol. 56(2), pages 703-733, February.
    14. Makai, Peter & Brouwer, Werner B.F. & Koopmanschap, Marc A. & Stolk, Elly A. & Nieboer, Anna P., 2014. "Quality of life instruments for economic evaluations in health and social care for older people: A systematic review," Social Science & Medicine, Elsevier, vol. 102(C), pages 83-93.
    15. Stevens, K, 2010. "Valuation of the Child Health Utility Index 9D (CHU9D)," MPRA Paper 29938, University Library of Munich, Germany.
    16. González, Libertad & Trommlerová, Sofia, 2022. "Cash transfers before pregnancy and infant health," Journal of Health Economics, Elsevier, vol. 83(C).
    17. Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    18. Johanna L. Bosch & Elkan F. Halpern & G. Scott Gazelle, 2002. "Comparison of Preference-Based Utilities of the Short-Form 36 Health Survey and Health Utilities Index before and after Treatment of Patients with Intermittent Claudication," Medical Decision Making, , vol. 22(5), pages 403-409, October.
    19. Stian Overå & Anders Bakken & Christer Hyggen, 2024. "Prevalence and Characteristics of Female and Male Esports Players among Norwegian Youth: A General Population Study," IJERPH, MDPI, vol. 21(9), pages 1-15, August.
    20. Ana I. Moro Egido & Maria Navarro, 2023. "Intergenerational Transmission of Economic Strain and High School Dropout," ThE Papers 23/07, Department of Economic Theory and Economic History of the University of Granada..

    More about this item

    Statistics

    Access and download statistics

    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:plo:pmen00:0000206. 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: mentalhealth (email available below). General contact details of provider: https://journals.plos.org/mentalhealth/ .

    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.