Abstract
Treating mental illnesses in primary care is increasingly emphasized to improve access to mental health services. Although family physicians (FPs) or general practitioners are in an ideal position to provide the bulk of mental health care, it is unclear how best to remunerate FPs for the adequate provision of mental health services. We examined the quantity of mental health services provided in Ontario’s blended fee-for-service and blended capitation models. We evaluated the impact of FPs switching from blended fee-for-service to blended capitation on the provision of mental health services in primary care and emergency department using longitudinal health administrative data from 2007 to 2016. We accounted for the differences between those who switched to blended capitation and non-switchers in the baseline using propensity score weighted fixed-effects regressions to compare remuneration models. We found that switching from blended fee-for-service to blended capitation was associated with a 14% decrease (95% CI 12–14%) in the number of mental health services and an 18% decrease (95% CI 15–20%) in the corresponding value of services. This result was driven by the decrease in services during regular-hours. During after-hours, the number of services increased by 20% (95% CI 10–32%) and the corresponding value increased by 35% (95% CI 17–54%). Switching was associated with a 4% (95% CI 1–8%) decrease in emergency department visits for mental health reasons. Blended capitation reduced provision of mental health services without increasing emergency department visits, suggesting potential efficiency gain in the blended capitation model in Ontario.
Similar content being viewed by others
Notes
Results were qualitatively similar to increasing to 500 enrolled patients or reducing to 100 enrolled patients.
Material deprivation is a composite score based on the proportion aged 25 + years old without a certificate, diploma, or degree; the proportion of single-parent families; the proportion receiving government transfer payments, the proportion those aged 15 + who are unemployed, the proportion considered low-income, and the proportion living in homes of in need of major repair; ethnic concentration is a composite score based on neighbourhood level proportions, including the proportion who are recent immigrants (within 5 years) and the proportion of those who identify as self-minorities(Matheson et al. 2012).
This interpretation is based on the Halvorsen–Palmquist adjustment for interpreting a dummy variable in a semi-logarithmic model (Halvorsen and Palmquist 1980).
References
Austin, P. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083–3107. https://doi.org/10.1002/sim.3697.
Balazsi, L., Matyas, L., & Wansbeek, T. (2018). The estimation of multidimensional fixed effects panel data models. Econometric Reviews. https://doi.org/10.1080/07474938.2015.1032164.
Chisholm, D., Sanderson, K., Ayuso-Mateos, J. L., & Saxena, S. (2004). Reducing the global burden of depression: Population-level analysis of intervention cost-effectiveness in 14 world regions. British Journal of Psychiatry, 184(MAY), 393–403.
Christianson, J. B., & Conrad, D. (2012). Provider payment and incentives. The Oxford Handbook of Health Economics. https://doi.org/10.1093/oxfordhb/9780199238828.013.0026.
Eggleston, K. (2005). Multitasking and mixed systems for provider payment. Journal of Health Economics, 24(1), 211–223. https://doi.org/10.1016/j.jhealeco.2004.09.001.
Ellis, R. P., & McGuire, T. G. (1993). Supply-side and demand-side cost sharing in health care. Journal of Economic Perspectives. https://doi.org/10.1257/jep.7.4.135.
Frank, R. G., Glied, S. A., & McGuire, T. G. (2015). Paying for early interventions in psychoses: A three-part model. Psychiatric Services, 66(7), 677–679. https://doi.org/10.1176/appi.ps.201400076.
Frølich, A., Schiøtz, M. L., Strandberg-Larsen, M., Hsu, J., Krasnik, A., Diderichsen, F., et al. (2008). A retrospective analysis of health systems in Denmark and Kaiser Permanente. BMC Health Services Research, 8, 1–8. https://doi.org/10.1186/1472-6963-8-252.
Glazier, R. H., Klein-Geltink, J., Kopp, A., & Sibley, L. M. (2009). Capitation and enhanced fee-for-service models for primary care reform: A population-based evaluation. Canadian Medical Association Journal, 180(11), 72–81. https://doi.org/10.1503/cmaj.081316.
Glazier, R. H., Moineddin, R., Agha, M. A., Agorski, B., Hall, R., Manuel, D. G., et al. (2008). The impact of not having a primary care physician among people with chronic conditions: An ICES investigative report. ICES investigative report. Toronto, ON: Institute for Clinical Evaluative Sciences.
Gosden, T., Forland, F., Kristiansen, I. S., Sutton, M., Leese, B., Giuffrida, A., et al. (2001). Impact of payment method on behaviour of primary care physicians: A systematic review. Journal of Health Services Research and Policy, 6(1), 44–55. https://doi.org/10.1258/1355819011927198.
Hainmueller, J. (2012). Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25–46. https://doi.org/10.1093/pan/mpr025.
Halvorsen, R., & Palmquist, R. (1980). The interpretation of dummy variables in semilogarithmic equations. The American Economic Review, 70(3), 474–475. https://doi.org/10.2307/1805237.
Ham, C., York, N., Sutch, S., & Shaw, R. (2003). Hospital bed utilisation in the NHS, Kaiser Permanente, and the US Medicare programme: analysis of routine data. BMJ, 327, 1257.
Health Quality Ontario. (2016). Primary care practice report technical appendix, (November), 1–52.
Helmchen, L. A., & Lo Sasso, A. T. (2010). How sensitive is physician performance to alternative compensation schedules? Evidence from a large network of primary care clinics. Health Economics., 5, 2. https://doi.org/10.1002/hec.1551.
Hewlett, E., & Moran, V. (2014). Making mental health count. Making Mental Health Count. https://doi.org/10.1787/9789264250550-ko.
Hutchison, B., & Glazier, R. (2013). Ontario’s primary care reforms have transformed the local care landscape, but a plan is needed for ongoing improvement. Health Affairs, 32(4), 695–703. https://doi.org/10.1377/hlthaff.2012.1087.
Hutchison, B., Levesque, J.J.-F., Strumpf, E., Coyle, N., Strumpf, E., & Coyle, N. (2011). Primary health care in Canada: Systems in motion. The Milbank Quarterly, 89(2), 256–288. https://doi.org/10.1111/j.1468-0009.2011.00628.x.
Jaakkimainen, L., Glazier, R., Barnsley, J., Salkeld, E., Lu, H., & Tu, K. (2014). Waiting to see the specialist: Patient and provider characteristics of wait times from primary to specialty care. BMC Family Practice, 15, 1. https://doi.org/10.1186/1471-2296-15-16.
Kantarevic, J., & Kralj, B. (2013). Link between pay for performance incentives and physician payment mechanisms: Evidence from the diabetes management incentive in Ontario. Health Economics, 22(12), 1417–1439. https://doi.org/10.1002/hec.2890.
Kralj, B., & Kantarevic, J. (2013). Quality and quantity in primary care mixed-payment models: Evidence from family health organizations in Ontario. Canadian Journal of Economics, 46(1), 1–46. https://doi.org/10.1111/caje.12003.
Laberge, M., Wodchis, W. P., Barnsley, J., & Laporte, A. (2017). Hospitalizations for ambulatory care sensitive conditions across primary care models in Ontario, Canada. Social Science and Medicine, 181, 24–33. https://doi.org/10.1016/j.socscimed.2017.03.040.
Lee, T. H., Bothe, A., & Steele, G. D. (2012). How Geisinger structures its physicians’ compensation to support improvements in quality, efficiency, and volume. Health Affairs, 31(9), 2068–2073. https://doi.org/10.1377/hlthaff.2011.0940.
Leff, H. S., Wieman, D. A., McFarland, B. H., Morrissey, J. P., Rothbard, A., Shern, D. L., et al. (2005). Assessment of Medicaid managed behavioral health care for persons with serious mental illness. Psychiatric Services, 56(10), 1245–1253. https://doi.org/10.1176/appi.ps.56.10.1245.
Marchildon, G. P., & Hutchison, B. (2016). Primary care in Ontario, Canada: New proposals after 15 years of reform. Health Policy, 120(7), 732–738. https://doi.org/10.1016/j.healthpol.2016.04.010.
Matheson, F. I., Dunn, J. R., Smith, K. L. W., Moineddin, R., & Glazier, R. H. (2012). Development of the Canadian Marginalization Index: A new tool for the study of inequality. Canadian Journal of Public Health, 103(8 Suppl 2), S12–S16.
Mattison, C. A., & Wilson, M. G. (2017). Examining the Effects of Value-based Physician Payment Models. McMaster Health Forum, (March).
McGuire, T. G. (2011). Physician agency and payment for primary medical care. In S. Glied & P. C. Smith (Eds.), The Oxford Handbook of Health Economics (pp. 1–24). Oxford: Oxford University Press.
Ministry of Health and Long-Term Care. (2007). Billing and Payment Information for Family Health Group (FHG) Signatory Physicians.
Ministry of Health and Long-Term Care. (2014). Billing & Payment Guide for Family Health Organization ( FHO ) Physicians: Opting for Solo Payment.
Ministry of Health and Long-Term Care. (2016). Section 3.11: Physician billing. In 2016 Annual Report of the Office of the Auditor General of Ontario (pp. 551–604).
Morgan, S. R., Chang, A. M., Alqatari, M., & Pines, J. M. (2013). Non-emergency department interventions to reduce ED utilization: A systematic review. Academic Emergency Medicine, 20(10), 969–985. https://doi.org/10.1111/acem.12219.
Newhouse, J. P. (1996). Reimbursing health plans and health providers: Efficiency in production versus selection. Journal of Economic Literature. https://doi.org/10.2307/2729501.
OECD. (2016). Better Ways to Pay for Health Care. (OECD Publishing, Ed.). OECD Publishing. https://doi.org/10.1787/9789264258211-en
Olejaz, M., Juul Nielsen, A., Rudkjøbing, A., Okkels Birk, H., Krasnik, A., & Hernández-Quevedo, C. (2012). Denmark health system review. Health Systems in Transition.
Robinson, J. C. (2001). Theory and practice in the design of physician payment incentives. Milbank Quarterly, 79(2), 149–177. https://doi.org/10.1111/1468-0009.00202.
Sarma, S., Mehta, N., Devlin, R. A., Kpelitse, K. A., & Li, L. (2018). Family physician remuneration schemes and specialist referrals: Quasi-experimental evidence from Ontario, Canada. Health Economics, 27(10), 1533–1549. https://doi.org/10.1002/hec.3783.
Somé, N. H., Devlin, R. A., Mehta, N., Zaric, G. S., Li, L., Shariff, S., et al. (2019). Production of physician services under fee-for-service and blended fee-for-service: Evidence from Ontario, Canada. Health Economics, 28(12), 1418–1434. https://doi.org/10.1002/hec.3951.
Somé, N. H., Devlin, R. A., Mehta, N., Zaric, G., & Sarma, S. (2020). Stirring the pot: Switching from blended fee-for-service to blended capitation in Ontario, Canada. Health Economics, 11, 1435–1455.
Sørensen, R. J., & Grytten, J. (2003). Service production and contract choice in primary physician services. Health Policy, 66(1), 73–93. https://doi.org/10.1016/S0168-8510(03)00026-5.
Steele, L. S., Durbin, A., Lin, E., Charles Victor, J., Klein-Geltink, J., Glazier, R. H., et al. (2014). Primary care reform and service use by people with serious mental illness in Ontario. Healthcare Policy, 10(1), 31–45. https://doi.org/10.12927/hcpol.2014.23926.
Steele, L. S., Durbin, A., Sibley, L. M., & Glazier, R. H. (2013). Inclusion of persons with mental illness in patientcentred medical homes: Cross-sectional findings from Ontario, Canada. Open Medicine, 7(1), 1–12.
Stuart, E. A., Lee, B. K., & Leacy, F. P. (2013). Prognostic score-based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2013.01.013.
Sweetman, A., & Buckley, G. (2014). Ontario’s experiment with primary care reform. University of Calgary, School of Public Policy, Research Paper, 7(11), 1–39. https://doi.org/10.2139/ssrn.2434658.
Thavam, T., Devlin, R. A., Thind, A., Zaric, G. S., & Sarma, S. (2020). The impact of the diabetes management incentive on diabetes-related services in Ontario, Canada. The European Journal of Health Economics. https://doi.org/10.1007/s10198-020-01216-6.
The Johns Hopkins University. (2011). The Johns Hopkins ACG® Case-Mix System Version 10.0 Release Notes.
Wilkins, R. (2009). PCCF + Version 5F User’s Guide: automated geographic coding based on Statistics Canada postal code conversion files including postal codes through July 2009. Statistics Canada. Ottawa: Health Analysis Division, Statistics Canada.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. Cambrigde: MIT Press.
World Health Organization. (2008). Integrating mental health into primary care: A global perspective. https://doi.org/10.1097/01.NAJ.0000508676.69402.4c
Zhang, X., & Sweetman, A. (2018). Blended capitation and incentives: Fee codes inside and outside the capitated basket. Journal of Health Economics, 60, 16–29. https://doi.org/10.1016/j.jhealeco.2018.03.002.
Zhao, Q., & Percival, D. (2016). Entropy balancing is doubly robust. Journal of Causal Inference. https://doi.org/10.1515/jci-2016-0010.
Zuvekas, S. H., & Cohen, J. W. (2016). Fee-for-service, while much maligned, remains the dominant payment method for physician visits. Health Affairs, 35(3), 411–414. https://doi.org/10.1016/j.juro.2016.05.034.
Acknowledgements
We thank the comments and suggestions of Editor Eric Slade and an anonymous reviewer to improve the manuscript. Funding for this research by the Canadian Institutes of Health Research operating Grant (MOP-130354) and Early Researcher Award by the Ontario Ministry of Research and Innovation is gratefully acknowledged. Thyna would like to acknowledge the Western Graduate Research Scholarship at the University of Western Ontario. This work is a revised version of Thyna’s MSc thesis research submitted to the University of Western Ontario. We thank Jasmin Kantarevic for sharing the codes to estimate the expected gain in income variable. This study was undertaken at the ICES Western. ICES is funded by an annual grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC). Core funding for ICES Western is provided by the Academic Medical Organization of Southwestern Ontario (AMOSO), the Schulich School of Medicine and Dentistry (SSMD), Western University, and the Lawson Health Research Institute (LHRI). The opinions, results and conclusions are those of the authors and are independent from the funding sources. No endorsement by ICES, AMOSO, SSMD, LHRI, CIHR, or the MOHLTC is intended or should be inferred.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethical Approval
The use of data in this paper was authorized under section 45 of Ontario’s Personal Health Information Protection Act, which does not require review by a Research Ethics Board. However, use of the health administrative data at the ICES was subject to strict privacy approval process and strict adherence to confidentiality agreement signed by all authors. None of the authors have any conflicts of interest to declare. The funders have no influence in the data acquisition, analysis and interpretation of the results reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The results are reported according to the Strength in Reporting of Observational Studies in Epidemiology (STROBE) guidelines (Appendix A0): von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. PLoS Med. 2007;4(10):1623–1627.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Vu, T., Anderson, K.K., Somé, N.H. et al. Mental Health Services Provision in Primary Care and Emergency Department Settings: Analysis of Blended Fee-for-Service and Blended Capitation Models in Ontario, Canada. Adm Policy Ment Health 48, 654–667 (2021). https://doi.org/10.1007/s10488-020-01099-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10488-020-01099-y