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The impact of waiting time on patient outcomes: Evidence from early intervention in psychosis services in England

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  • Anika Reichert
  • Rowena Jacobs

Abstract

Recently, new emphasis was put on reducing waiting times in mental health services as there is an ongoing concern that longer waiting time for treatment leads to poorer health outcomes. However, little is known about delays within the mental health service system and its impact on patients. We explore the impact of waiting times on patient outcomes in the context of early intervention in psychosis (EIP) services in England from April 2012 to March 2015. We use the Mental Health Services Data Set and the routine outcome measure the Health of the Nation Outcome Scale. In a generalised linear regression model, we control for baseline outcomes, previous service use, and treatment intensity to account for possible endogeneity in waiting time. We find that longer waiting time is significantly associated with a deterioration in patient outcomes 12 months after acceptance for treatment for patients that are still in EIP care. Effects are strongest for waiting times longer than 3 months, and effect sizes are small to moderate. Patients with shorter treatment periods are not affected. The results suggest that policies should aim to reduce excessively long waits in order to improve outcomes for patients waiting for treatment for psychosis.

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  • Anika Reichert & Rowena Jacobs, 2018. "The impact of waiting time on patient outcomes: Evidence from early intervention in psychosis services in England," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1772-1787, November.
    • Handle: RePEc:wly:hlthec:v:27:y:2018:i:11:p:1772-1787
    DOI: 10.1002/hec.3800
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    1. Siciliani, Luigi & Moran, Valerie & Borowitz, Michael, 2014. "Measuring and comparing health care waiting times in OECD countries," Health Policy, Elsevier, vol. 118(3), pages 292-303.
    2. Jones, A. M. & Lomas, J. & Moore, P. & Rice, N., 2013. "A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy tailed and non-normal data: with an application to healthcare costs," Health, Econometrics and Data Group (HEDG) Working Papers 13/30, HEDG, c/o Department of Economics, University of York.
    3. Hamilton, Barton H & Bramley-Harker, Robert Edward, 1999. "The Impact of the NHS Reforms on Queues and Surgical Outcomes in England: Evidence from Hip Fracture Patients," Economic Journal, Royal Economic Society, vol. 109(457), pages 437-462, July.
    4. Rowena Jacobs, 2009. "Investigating Patient Outcome Measures in Mental Health," Working Papers 048cherp, Centre for Health Economics, University of York.
    5. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    6. Hamilton, Barton H. & Hamilton, Vivian H. & Mayo, Nancy E., 1996. "What are the costs of queuing for hip fracture surgery in Canada?," Journal of Health Economics, Elsevier, vol. 15(2), pages 161-185, April.
    7. Silviya Nikolova & Mark Harrison & Matt Sutton, 2016. "The Impact of Waiting Time on Health Gains from Surgery: Evidence from a National Patient‐reported Outcome Dataset," Health Economics, John Wiley & Sons, Ltd., vol. 25(8), pages 955-968, August.
    8. Moscelli, Giuseppe & Siciliani, Luigi & Tonei, Valentina, 2016. "Do waiting times affect health outcomes? Evidence from coronary bypass," Social Science & Medicine, Elsevier, vol. 161(C), pages 151-159.
    9. Daryl Pregibon, 1980. "Goodness of Link Tests for Generalized Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 15-24, March.
    10. Lindsay, Cotton M & Feigenbaum, Bernard, 1984. "Rationing by Waiting Lists," American Economic Review, American Economic Association, vol. 74(3), pages 404-417, June.
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    Cited by:

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    3. Maclean, J. Catherine & Tello-Trillo, Sebastian & Webber, Douglas A., 2019. "Losing Insurance and Behavioral Health Hospitalizations: Evidence from a Large-Scale Medicaid Disenrollment," IZA Discussion Papers 12463, Institute of Labor Economics (IZA).
    4. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2021. "Hospital competition and quality for non‐emergency patients in the English NHS," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 382-414, June.
    5. Williams, Jenny & Bretteville-Jensen, Anne Line, 2022. "What's Another Day? The Effects of Wait Time for Substance Abuse Treatment on Health-Care Utilization, Employment and Crime," IZA Discussion Papers 15083, Institute of Labor Economics (IZA).
    6. Gravelle, Hugh & Schroyen, Fred, 2020. "Optimal hospital payment rules under rationing by waiting," Journal of Health Economics, Elsevier, vol. 70(C).
    7. Felipa de Mello-Sampayo, 2022. "On the timing and probability of Presurgical Teledermatology: how it becomes the dominant strategy," Health Care Management Science, Springer, vol. 25(3), pages 389-405, September.
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    10. Julien Bergeot & Florence Jusot, 2024. "The impact of unmet health care needs on self-assessed health and functional limitations during the first wave of the Covid-19 pandemic," Post-Print hal-04564156, HAL.
    11. Moscelli, Giuseppe & Gravelle, Hugh & Siciliani, Luigi, 2023. "The effect of hospital choice and competition on inequalities in waiting times," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 169-201.
    12. Wilf - Miron, Rachel & Novikov, Ilya & Ziv, Arnona & Mandelbaum, Avishai & Ritov, Yaacov & Luxenburg, Osnat, 2020. "A novel methodology to measure waiting times for community-based specialist care in a public healthcare system," Health Policy, Elsevier, vol. 124(8), pages 805-811.
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