IDEAS home Printed from https://ideas.repec.org/p/yor/hectdg/26-05.html

Impacts of provider funding levels and types on demand and supply aspects of access to primary care

Author

Listed:
  • Lo; C.;
  • Anselmi; L.;
  • Sutton; M.;

Abstract

Despite growing evidence on how funding influences primary care provider behaviour and patient health outcomes, its effects on access are less known. We assessed the effect of payments to general practices on multiple dimensions of access in England. We used an unbalanced panel of 7,446 general practices between 2015 and 2023, linking payments to patients’ satisfaction with access and characteristics. In line with the Levesque framework, we distinguished between supply-side (provider approachability, availability, and appropriateness) and demand-side (patient ability to perceive need, reach care, and engage with care) aspects of access. We used linear two-way fixed-effects models to estimate the effects of payments, in total and by type (capitation, quality-based, activity-based, others). We estimated heterogeneous effects by stratifying practices into quintiles of need, deprivation, and population size. Higher total payment improved all access domains, with bigger gains in more deprived and in larger practices. Payment types demonstrated distinct patterns across aspects of access and practices. Capitation increased patient ability to reach care, but reduced provider capacity to deliver care in lower-need and in larger practices. Quality‑based payments increased providers’ appropriateness and patients’ engagement in lower‑need and in larger practices. Activity‑based payments showed modest positive associations with access. The positive effects of other payments were driven by dispensing-related components. Effects were attenuated when controlling for unobserved time-varying heterogeneity with interactive fixed-effects. Payment types shape different dimensions of access, with effects varying by population need, deprivation, and size. A balanced payment-mix is essential to support intended context-specific improvements in access.

Suggested Citation

  • Lo; C.; & Anselmi; L.; & Sutton; M.;, 2026. "Impacts of provider funding levels and types on demand and supply aspects of access to primary care," Health, Econometrics and Data Group (HEDG) Working Papers 26/05, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:26/05
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2026/2605.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodriguez Santana, Idaira & Mason, Anne & Gutacker, Nils & Kasteridis, Panagiotis & Santos, Rita & Rice, Nigel, 2023. "Need, demand, supply in health care: working definitions, and their implications for defining access," Health Economics, Policy and Law, Cambridge University Press, vol. 18(1), pages 1-13, January.
    2. Mcintyre, Di & Thiede, Michael & Birch, Stephen, 2009. "Access as a policy-relevant concept in low- and middle-income countries," Health Economics, Policy and Law, Cambridge University Press, vol. 4(2), pages 179-193, April.
    3. Seung C. Ahn & Alex R. Horenstein, 2013. "Eigenvalue Ratio Test for the Number of Factors," Econometrica, Econometric Society, vol. 81(3), pages 1203-1227, May.
    4. Line Planck Kongstad & Nicolai Damslund & Jens Søndergaard & Geir Godager & Kim Rose Olsen, 2025. "Do Physicians Respond to Additional Capitation Payments in Mixed Remuneration Schemes?," Health Economics, John Wiley & Sons, Ltd., vol. 34(6), pages 1143-1159, June.
    5. Hellbom Almström, Axel & Ellegård, Lina Maria & Enache, Andreea & Strömberg, Klara, 2025. "Mixed payment and mixed objectives: Insights from the ownership structure in Swedish primary care," Journal of Economic Behavior & Organization, Elsevier, vol. 237(C).
    6. Gallet, Craig A. & Doucouliagos, Hristos, 2017. "The impact of healthcare spending on health outcomes: A meta-regression analysis," Social Science & Medicine, Elsevier, vol. 179(C), pages 9-17.
    7. Roy Carr-Hill & Geoffrey Hardman & Stephen Martin & Stuart Peacock & Trevor Sheldon & Peter Smith, 1994. "A formula for distributing NHS revenues based on small area use of hospital beds," Working Papers 022cheop, Centre for Health Economics, University of York.
    8. Matt Sutton & Ross Elder & Bruce Guthrie & Graham Watt, 2010. "Record rewards: the effects of targeted quality incentives on the recording of risk factors by primary care providers," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 1-13, January.
    9. Hugh Gravelle & Matt Sutton & Ada Ma, 2010. "Doctor Behaviour under a Pay for Performance Contract: Treating, Cheating and Case Finding?," Economic Journal, Royal Economic Society, vol. 120(542), pages 129-156, February.
    10. Anne Sophie Oxholm & Sibilla Di Guida & Dorte Gyrd-Hansen & Kim Rose Olsen, 2019. "Taking care of high-need patients in capitation-based payment schemes – an experimental investigation into the importance of market conditions," Applied Economics, Taylor & Francis Journals, vol. 51(47), pages 5174-5184, October.
    11. William Whittaker & Laura Anselmi & Søren Rud Kristensen & Yiu-Shing Lau & Simon Bailey & Peter Bower & Katherine Checkland & Rebecca Elvey & Katy Rothwell & Jonathan Stokes & Damian Hodgson, 2016. "Associations between Extending Access to Primary Care and Emergency Department Visits: A Difference-In-Differences Analysis," PLOS Medicine, Public Library of Science, vol. 13(9), pages 1-19, September.
    12. Goddard, Maria & Smith, Peter, 2001. "Equity of access to health care services: : Theory and evidence from the UK," Social Science & Medicine, Elsevier, vol. 53(9), pages 1149-1162, November.
    13. Olivia Bodnar & Hugh Gravelle & Nils Gutacker & Annika Herr, 2024. "Financial incentives and prescribing behavior in primary care," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 696-713, April.
    14. Christian Volmar Skovsgaard & Troels Kristensen & Ryan Pulleyblank & Kim Rose Olsen, 2023. "Increasing capitation in mixed remuneration schemes: Effects on service provision and process quality of care," Health Economics, John Wiley & Sons, Ltd., vol. 32(11), pages 2477-2498, November.
    15. John C. Langenbrunner & Cheryl Cashin & Sheila O’Dougherty, 2009. "Designing and Implementing Health Care Provider Payment Systems : How-To Manuals," World Bank Publications - Books, The World Bank Group, number 13806, April.
    16. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    17. Jeannette Brosig‐Koch & Heike Hennig‐Schmidt & Nadja Kairies‐Schwarz & Daniel Wiesen, 2017. "The Effects of Introducing Mixed Payment Systems for Physicians: Experimental Evidence," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 243-262, February.
    18. Wilding, Anna & Munford, Luke & Guthrie, Bruce & Kontopantelis, Evangelos & Sutton, Matt, 2022. "Family doctor responses to changes in target stringency under financial incentives," Journal of Health Economics, Elsevier, vol. 85(C).
    19. Vu, Thyna & Anderson, Kelly K. & Devlin, Rose Anne & Somé, Nibene H. & Sarma, Sisira, 2021. "Physician remuneration schemes, psychiatric hospitalizations and follow-up care: Evidence from blended fee-for-service and capitation models," Social Science & Medicine, Elsevier, vol. 268(C).
    20. Fatimah, Alfariany & Britteon, Philip & Turner, Alex J & Anselmi, Laura & Gillibrand, Stephanie & Wilson, Paul & Sutton, Matt & Lau, Yiu-Shing, 2023. "Evaluating whole system reforms: A structured approach for selecting multiple outcomes," Health Policy, Elsevier, vol. 138(C).
    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. Brosig-Koch, Jeannette & Hennig-Schmidt, Heike & Kairies-Schwarz, Nadja & Kokot, Johanna & Wiesen, Daniel, 2024. "A new look at physicians’ responses to financial incentives: Quality of care, practice characteristics, and motivations," Journal of Health Economics, Elsevier, vol. 94(C).
    2. Jeannette Brosig-Koch & Mona Groß & Heike Hennig-Schmidt & Nadja Kairies-Schwarz & Daniel Wiesen, 2025. "Physicians’ incentives, patients’ characteristics, and quality of care: a systematic experimental comparison of performance-pay systems," International Journal of Health Economics and Management, Springer, vol. 25(2), pages 217-243, June.
    3. Line Planck Kongstad & Nicolai Damslund & Jens Søndergaard & Geir Godager & Kim Rose Olsen, 2025. "Do Physicians Respond to Additional Capitation Payments in Mixed Remuneration Schemes?," Health Economics, John Wiley & Sons, Ltd., vol. 34(6), pages 1143-1159, June.
    4. Givord, Pauline & Quantin, Simon & Trevien, Corentin, 2018. "A long-term evaluation of the first generation of French urban enterprise zones," Journal of Urban Economics, Elsevier, vol. 105(C), pages 149-161.
    5. Alain-Philippe Fortin & Patrick Gagliardini & O. Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Swiss Finance Institute Research Paper Series 22-81, Swiss Finance Institute.
    6. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    7. Ammi, Mehdi & Fortier, Grant, 2017. "The influence of welfare systems on pay-for-performance programs for general practitioners: A critical review," Social Science & Medicine, Elsevier, vol. 178(C), pages 157-166.
    8. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, vol. 212(2), pages 503-521.
    9. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    10. Hansen, Christian & Liao, Yuan, 2019. "The Factor-Lasso And K-Step Bootstrap Approach For Inference In High-Dimensional Economic Applications," Econometric Theory, Cambridge University Press, vol. 35(3), pages 465-509, June.
    11. Hyungsik Roger Moon & Martin Weidner, 2015. "Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects," Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
    12. Bereket Yakob & Busisiwe Purity Ncama, 2016. "Correlates of perceived access and implications for health system strengthening – lessons from HIV/AIDS treatment and care services in Ethiopia," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-19, August.
    13. In Choi & Dukpa Kim & Yun Jung Kim & Noh‐Sun Kwark, 2018. "A multilevel factor model: Identification, asymptotic theory and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 355-377, April.
    14. Sébastien Mary, 2026. "Revisiting US food aid and civil conflict," Empirical Economics, Springer, vol. 70(3), pages 1-31, March.
    15. Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
    16. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    17. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    18. Liu, Hao, 2019. "The communication and European Regional economic growth: The interactive fixed effects approach," Economic Modelling, Elsevier, vol. 83(C), pages 299-311.
    19. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    20. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    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:yor:hectdg:26/05. 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: Jane Rawlings (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.html .

    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.