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Does the abolition of copayment increase ambulatory care utilization?: a quasi-experimental study in Germany

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Abstract

Due to a problematic situation with public finances, Germany introduced a copayment scheme for ambulatory care visits in 2004. In 2012, Germany achieved a balanced budget, and copayment was abolished on the 1st of January 2013. This policy change offers a rare opportunity to explore the impact of the abolition of copayment, compared to the much more frequently studied introduction of copayment. We therefore investigate the development of ambulatory care and inpatient care utilization following this policy change among people over 50 in Germany, as well as the heterogeneous impacts among vulnerable people, such as the low-income population, the chronically ill and the elderly over the age of 65. We use data from the Survey of Health, Ageing and Retirement in Europe and adopt a difference-in-differences approach with matching. We found that the abolition of copayment only caused an increase in ambulatory care use in the shorter term, while leading to a significant reduction in the longer term. In addition, we find a negative effect on inpatient care use, i.e., the hospitalization offset effect. Finally, we demonstrate that vulnerable people were more sensitive to the abolition of copayment.

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References

  1. Zeckhauser, R.: Medical insurance: A case study of the tradeoff between risk spreading and appropriate incentives. J. Econ. Theory. 2, 10–26 (1970). https://doi.org/10.1016/0022-0531(70)90010-4

    Article  Google Scholar 

  2. Lohr, K.N., Brook, R.H., Kamberg, C.J., Goldberg, G.A., Arleen, L., Keesey, J., Reboussin, D., Newhouse, J.P.: Use of medical Care in the Rand Health Insurance Experiment: diagnosis- and service-specific analyses in a randomized controlled trial. Med. Care. 24, 1–87 (1986)

    Google Scholar 

  3. Lee, H.J., Jang, S., Park, E.: The effect of increasing the coinsurance rate on outpatient utilization of healthcare services in South Korea. BMC Health Serv. Res. 17, 1–10 (2017). https://doi.org/10.1186/s12913-017-2076-8

    Article  Google Scholar 

  4. Kalousova, L.: Curing over-use by prescribing fees: an evaluation of the effect of user fees’ implementation on healthcare use in the Czech Republic. Health Policy Plan. 30, 423–431 (2015). https://doi.org/10.1093/heapol/czu024

    Article  PubMed  Google Scholar 

  5. Tamblyn, R., Laprise, R., Hanley, J.A., Abrahamowicz, M., Scott, S., Mayo, N., Hurley, J., Grad, R., Latimer, E., Perreault, R., McLeod, P., Huang, A., Larochelle, P., BPharm, L.M.: Adverse events associated with prescription drug cost-sharing among poor and elderly persons. J Am Med Assoc 285, 421–429 (2001). https://doi.org/10.1001/jama.285.4.421

    Article  CAS  Google Scholar 

  6. Trivedi, A.N., Moloo, H., Mor, V.: Increased ambulatory care copayments and hospitalizations among the elderly. N. Engl. J. Med. 362, 320–328 (2010). https://doi.org/10.1056/NEJMsa0904533

    Article  PubMed  CAS  Google Scholar 

  7. Kiil, A., Houlberg, K.: How does copayment for health care services affect demand, health and redistribution? A systematic review of the empirical evidence from 1990 to 2011. Eur. J. Heal. Econ. 15, 813–828 (2013). https://doi.org/10.1007/s10198-013-0526-8

    Article  Google Scholar 

  8. Elkins, R. K., Schurer, S.: Introducing a GP copayment in Australia: Who would carry the cost burden? Health Policy (New York) 121: 543–552 (2017) https://doi.org/10.1016/j.healthpol.2017.03.004

  9. Hafner, P., Mahlich, J.C.: Determinants of physician’s office visits and potential effects of co-payments: evidence from Austria. Int. J. Health Plann. Manage. 31, e192–e203 (2015). https://doi.org/10.1002/hpm.2316

    Article  PubMed  Google Scholar 

  10. Petrou, P.: An interrupted time-series analysis to assess impact of introduction of co-payment on emergency room visits in cyprus. Appl. Health Econ. Health Policy. 13, 515–523 (2015). https://doi.org/10.1007/s40258-015-0169-2

    Article  PubMed  Google Scholar 

  11. Yoo, K.B., Ahn, H.U., Park, E.C., Kim, T.H., Kim, S.J., Kwon, J.A., Lee, S.G.: Impact of co-payment for outpatient utilization among Medical Aid beneficiaries in Korea: A 5-year time series study. Health Policy (New York). 120, 960–966 (2016). https://doi.org/10.1016/j.healthpol.2016.07.001

  12. Busch, S.H., Barry, C.L., Vegso, S.J., Sindelar, J.L., Cullen, M.R.: Effects of a cost-sharing exemption on use of preventive services at one large employer. Health Aff. 25, 1529–1536 (2006). https://doi.org/10.1377/hlthaff.25.6.1529

    Article  Google Scholar 

  13. Trivedi, A.N., Leyva, B., Lee, Y., Panagiotou, O.A., Dahabreh, I.J.: Elimination of cost sharing for screening mammography in medicare advantage plans. N. Engl. J. Med. 37, 262–269 (2018). https://doi.org/10.1056/nejmsa1706808

    Article  Google Scholar 

  14. Votapkova, J., Zilova, P.: The abolition of user charges and the demand for ambulatory visits: evidence from the Czech Republic. Health Econ. Rev. 6, 1–11 (2016). https://doi.org/10.1186/s13561-016-0105-7

    Article  Google Scholar 

  15. Walsh, B., Nolan, A., Brick, A., Keegan, C.: Did the expansion of free GP care impact demand for emergency department attendances? A difference-in-differences analysis. Soc. Sci. Med. 222, 101–111 (2019). https://doi.org/10.1016/j.socscimed.2018.12.029

    Article  PubMed  Google Scholar 

  16. Olsen, C.B., Melberg, H.O.: Did adolescents in Norway respond to the elimination of copayments for general practitioner services? Health Econ. 27, 1120–1130 (2018). https://doi.org/10.1002/hec.3660

    Article  PubMed  Google Scholar 

  17. Shigeoka, H.: The effect of patient cost sharing on utilization, health, and risk protection. Am. Econ. Rev. 104, 2152–2184 (2014). https://doi.org/10.1257/aer.104.7.2152

    Article  Google Scholar 

  18. Nishi, A., McWilliams, J.M., Noguchi, H., Hashimoto, H., Tamiya, N., Kawachi, I.: Health benefits of reduced patient cost sharing in Japan. Bull. World Health Organ. 90, 426-435A (2012). https://doi.org/10.2471/BLT.11.095380

    Article  PubMed  PubMed Central  Google Scholar 

  19. Fukushima, K., Mizuoka, S., Yamamoto, S., Iizuka, T.: Patient cost sharing and medical expenditures for the elderly. J. Health Econ. 45, 115–130 (2016). https://doi.org/10.1016/j.jhealeco.2015.10.005

    Article  PubMed  Google Scholar 

  20. Tversky, A., Kahneman, D.: Loss aversion in riskless choice : a reference-dependent model. Q. J. Econ. 106, 1039–1061 (1991)

    Article  Google Scholar 

  21. Kaiser Family Foundation: Cost Sharing for Health Care: France, Germany, and Switzerland. Henry J. Kaiser Fam. Found. 1–23 (2009)

  22. Olm, M., Donnachie, E., Tauscher, M., Gerlach, R., Linde, K., Maier, W., Schwettmann, L., Schneider, A.: Impact of the abolition of copayments on the GP-centred coordination of care in Bavaria, Germany: analysis of routinely collected claims data. BMJ Open 10, e035575 (2020). https://doi.org/10.1136/bmjopen-2019-035575

    Article  PubMed  PubMed Central  Google Scholar 

  23. Mossialos, E., Wenzl, M., Osborn, R., Anderson, C. eds: 2014 International profiles of health care systems. The Commonwealth Fund (2015)

  24. Lisac, M., Reimers, L., Henke, K.-D., Schlette, S.: Access and choice- competition under the roof of solidarity in German health care: an analysis of health policy reforms since 2004. Heal. Econ. Policy Law. 5, 31–52 (2010). https://doi.org/10.1017/S1744133109990144

    Article  Google Scholar 

  25. Busse, R., Blümel, M.: Germany: health system review. Health Systems in Transition. (2014)

  26. Augurzky, B., Bauer, T.K., Schaffner, S.: Copayments in the German health system: does it work ? Bonn, Germany (2006)

    Google Scholar 

  27. Schreyögg, J., Grabka, M.M.: Copayments for ambulatory care in Germany: a natural experiment using a difference-in-difference approach. Eur. J. Heal. Econ. 11, 331–341 (2010). https://doi.org/10.1007/s10198-009-0179-9

    Article  Google Scholar 

  28. Kunz, J.S., Winkelmann, R.: An econometric model of health care demand with non-linear pricing. , Zurich (2015)

  29. Farbmacher, H.: Copayments for doctor visits in Germany and the probability of visiting a physician - Evidence from a natural experiment. (2009)

  30. Olm, M., Donnachie, E., Tauscher, M., Gerlach, R., Linde, K., Maier, W., Schwettmann, L., Schneider, A.: Ambulatory specialist costs and morbidity of coordinated and uncoordinated patients before and after abolition of copayment: A cohort analysis. PLoS ONE 16, 1–14 (2021). https://doi.org/10.1371/journal.pone.0253919

    Article  CAS  Google Scholar 

  31. Lostao, L., Geyer, S., Albaladejo, R., Moreno-Lostao, A., Ronda, E., Regidor, E.: Use of health services according to income before and after elimination of copayment in Germany and restriction of universal health coverage in Spain. Int. J. Equity Health. 17, 1–8 (2018). https://doi.org/10.1186/s12939-018-0725-0

    Article  Google Scholar 

  32. Goldman, D., Philipson, T.J.: Integrated insurance design in the presence of multiple medical technologies. Am. Econ. Rev. 97, 427–432 (2007). https://doi.org/10.1257/aer.97.2.427

    Article  PubMed  PubMed Central  Google Scholar 

  33. Chandra, A., Gruber, J., McKnight, R.: Patient cost-sharing and hospitalization offsets in the elderly. Am. Econ. Rev. 100, 193–213 (2010). https://doi.org/10.1257/aer.100.1.193

    Article  PubMed  PubMed Central  Google Scholar 

  34. Elek, P., Molnár, T., Váradi, B.: The closer the better: does better access to outpatient care prevent hospitalization? Eur. J. Heal. Econ. 20, 801–817 (2019). https://doi.org/10.1007/s10198-019-01043-4

    Article  Google Scholar 

  35. Börsch-Supan, A.: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 2. Release version: 7.0.0. SHARE-ERIC. Data set. (2019). https://doi.org/10.6103/SHARE.w2.700

  36. Börsch-Supan, A., Brugiavini, A., Jürges, H., Kapteyn, A., Mackenbach, J., Siegrist, J., Weber, G. eds: First results from the Survey of Health, Ageing and Retirement in Europe (2004–2007). Starting the longitudinal dimension. , Mannheim Research Institute for the Economics of Aging (MEA), Mannheim (2008)

  37. Börsch-Supan, A.: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4. Release version: 7.0.0. SHARE-ERIC. Data set. (2019). https://doi.org/10.6103/SHARE.w4.700

  38. Malter, F., Börsch-Supan, A. eds: SHARE Wave 4: Innovations & Methodology. , MEA, Max Planck Institute for Social Law and Social Policy, Munich (2013)

  39. Börsch-Supan, A.: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 6. Release version: 7.0.0. SHARE-ERIC. Data set. (2019). https://doi.org/10.6103/SHARE.w6.700

  40. Malter, F., Börsch-Supan, A. eds: SHARE Wave 6: Panel innovations and collecting Dried Blood Spots. , MEA, Max Planck Institute for Social Law and Social Policy, Munich (2017)

  41. Börsch-Supan, A.: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 7. Release version: 7.0.0. SHARE-ERIC. Data set. (2019). https://doi.org/10.6103/SHARE.w7.700

  42. Association of German private healthcare insurers: Financial report for private healthcare insurance 2012. 1–126 (2012)

  43. OECD: Divided we stand: why inequality keeps rising. 4 (2011). https://doi.org/10.1787/9789264119536-en

  44. Andersen, R., Newman, J.F.: Societal and individual determinants of medical care utilization in the United States. Milbank Meml. Fund Q. Heal. Soc. 51, 95–124 (1973). https://doi.org/10.2307/3349613

    Article  CAS  Google Scholar 

  45. Belloni, M., Meschi, E., Pasini, G.: The effect on mental health of retiring during the economic crisis. Health Econ. 25, 126–140 (2016). https://doi.org/10.1002/hec.3377

    Article  PubMed  Google Scholar 

  46. Ryan, A.M., Burgess, J.F., Dimick, J.B.: Why we should not be indifferent to specification choices for difference-in-differences. Health Serv. Res. 50, 1211–1235 (2015). https://doi.org/10.1111/1475-6773.12270

    Article  PubMed  Google Scholar 

  47. Heckman, J.J., Ichimura, H., Todd, P.E.: Matching evidence job an econometric estimator: evaluating programme a evaluation from training. Rev. Econ. Stud. 64, 605–654 (1997)

    Article  Google Scholar 

  48. Ryan, A.M., Kontopantelis, E., Linden, A., Burgess, J.F.: Now trending: Coping with non-parallel trends in difference-in-differences analysis. Stat. Methods Med. Res. 28, 3697–3711 (2019). https://doi.org/10.1177/0962280218814570

    Article  PubMed  Google Scholar 

  49. Jann, B.: Kernel matching with automatic bandwidth selection. In: 2017 London Stata Users Group meeting. , London (2017)

  50. Rosenbaum, P.R., Rubin, D.B.: Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am. Stat. 39, 33–38 (1985)

    Google Scholar 

  51. Wooldridge, J.: Difference-in-differences estimation programme evaluation for policy analysis. (2012)

  52. Lechner, M., Miquel, R.: Identification of the effects of dynamic treatments by sequential conditional independence assumptions. Empir. Econ. 39, 111–137 (2010). https://doi.org/10.1007/s00181-009-0297-3

    Article  Google Scholar 

  53. Wooldridge, J.M.: Distribution-free estimation of some nonlinear panel data models. J. Econom. 90, 77–97 (1999). https://doi.org/10.1016/S0304-4076(98)00033-5

    Article  Google Scholar 

  54. Silva, J.M.C.S., Tenreyro, S.: The log of gravity. Rev. Econ. Stat. 88, 641–658 (2006). https://doi.org/10.1162/rest.88.4.641

  55. Newhouse, J.: Free for All: Lessons from the RAND Health Insurance Experiment. Harvard University Press, Cambridge (1993)

    Google Scholar 

  56. Eurostat: Glossary:At-risk-of-poverty rate, https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:At-risk-of-poverty_rate

  57. Landsem, M.M., Magnussen, J.: The effect of copayments on the utilization of the GP service in Norway. Soc. Sci. Med. 205, 99–106 (2018). https://doi.org/10.1016/j.socscimed.2018.03.034

    Article  PubMed  Google Scholar 

  58. Schmitt, J., Kirch, W., Meurer, M.: Effects of the introduction of the German “Praxisgebühr” on outpatient care and treatment of patients with atopic eczema. J. der Dtsch. Dermatologischen Gesellschaft. 7, 879–886 (2009). https://doi.org/10.1111/j.1610-0387.2009.07100.x

    Article  Google Scholar 

  59. Rice, T., Matsuoka, K.Y.: The impact of cost-sharing on appropriate utilization and health status: a review of the literature on seniors. Med. Care Res. Rev. 61, 415–452 (2004). https://doi.org/10.1177/1077558704269498

    Article  PubMed  Google Scholar 

  60. Al-Quteimat, O.M., Amer, A.M.: The impact of the COVID-19 pandemic on cancer patients. Am J Clin Oncol Cancer Clin Trials (2020). https://doi.org/10.1097/COC.0000000000000712

    Article  Google Scholar 

  61. Bedoya, A.D., Clement, M.E., Phelan, M., Steorts, R.C., O’Brien, C., Goldstein, B.A.: Minimal impact of implemented early warning score and best practice alert for patient deterioration. Crit Care Med. 47, 49–55 (2019). https://doi.org/10.1097/CCM.0000000000003439.Minimal

    Article  PubMed  PubMed Central  Google Scholar 

  62. Sundmacher, L., Ozegowski, S.: Regional distribution of physicians: the role of comprehensive private health insurance in Germany. Eur. J. Heal. Econ. 17, 443–451 (2016). https://doi.org/10.1007/s10198-015-0691-z

    Article  Google Scholar 

  63. Roll, K., Stargardt, T., Schreyögg, J.: Effect of type of insurance and income on waiting time for outpatient care. Geneva Pap. Risk Insur. Issues Pract. 37, 609–632 (2012). https://doi.org/10.1057/gpp.2012.6

    Article  Google Scholar 

  64. Manning, W.G., Newhouse, J.P., Duan, N., Keeler, E.B., Leibowitz, A.: Health insurance and the demand for medical care : evidence from a randomized experiment. Am. Econ. Rev. 77, 251–277 (1987)

    PubMed  CAS  Google Scholar 

  65. Wharam, J.F., Zhang, F., Landon, B.E., Soumerai, S.B., Ross-Degnan, D.: Low-socioeconomic-status enrollees in high-deductible plans reduced high-severity emergency care. Health Aff. 32, 1398–1406 (2013). https://doi.org/10.1377/hlthaff.2012.1426

    Article  Google Scholar 

  66. OECD: Chapter 5. Access: Affordability, availability and use of services, https://www.oecd-ilibrary.org/sites/ae3016b9-en/1/3/5/index.html?itemId=/content/publication/ae3016b9-en&_csp_=ca413da5d44587bc56446341952c275e&itemIGO=oecd&itemContentType=book&_ga=2.99586199.861807500.1637587837-1331015776.1637076560

  67. OECD: Prices in the health sector, https://www.oecd-ilibrary.org/sites/ae3016b9-en/1/3/7/3/index.html?itemId=/content/publication/ae3016b9-en&_csp_=ca413da5d44587bc56446341952c275e&itemIGO=oecd&itemContentType=book&_ga=2.99586199.861807500.1637587837-1331015776.1637076560

  68. Fang, H., Gavazza, A.: Dynamic inefficiencies in an employment-based health insurance system: Theory and evidence. Am. Econ. Rev. 101, 3047–3077 (2011). https://doi.org/10.1257/aer.101.7.3047

    Article  PubMed  Google Scholar 

  69. Kopetsch, T., Schmitz, H.: Regional variation in the utilisation of ambulatory services in Germany. Health Econ. 23, 1481–1492 (2014). https://doi.org/10.1002/hec

    Article  PubMed  Google Scholar 

  70. Xu, K., Evans, D.B., Kadama, P., Nabyonga, J., Ogwal, P.O., Nabukhonzo, P., Aguilar, A.M.: Understanding the impact of eliminating user fees: Utilization and catastrophic health expenditures in Uganda. Soc. Sci. Med. 62, 866–876 (2006). https://doi.org/10.1016/j.socscimed.2005.07.004

    Article  PubMed  Google Scholar 

  71. Rückert, I.M., Böcken, J., Mielck, A.: Are German patients burdened by the practice charge for physician visits ('Praxisgebuehr’)? A cross sectional analysis of socio-economic and health related factors. BMC Health Serv. Res. 8, 1–13 (2008). https://doi.org/10.1186/1472-6963-8-232

    Article  Google Scholar 

  72. Kim, J., Ko, S., Yang, B.: The effects of patient cost sharing on ambulatory utilization in South Korea. Heal Policy (2005). https://doi.org/10.1016/j.healthpol.2004.09.002

    Article  Google Scholar 

  73. Stoller, M.A., Stoller, E.P.: Perceived income adequacy among elderly retirees. J. Appl. Gerontol. 22, 230–251 (2003). https://doi.org/10.1177/0733464803022002004

    Article  Google Scholar 

  74. Salzberg, C.A., Bitton, A., Lipsitz, S.R., Franz, C., Shaykevich, S., Newmark, L.P., Kwatra, J., Bates, D.W.: The impact of alternative payment in chronically ill and older patients in the patient-centered medical home. Med. Care. 55, 483–492 (2017). https://doi.org/10.1097/MLR.0000000000000694

    Article  Google Scholar 

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Acknowledgements

This paper uses data from SHARE Waves 2, 4, 6 and 7 (DOIs: https://doi.org/10.6103/SHARE.w2.700, https://doi.org/10.6103/SHARE.w4.700https://doi.org/10.6103/SHARE.w6.700, https://doi.org/10.6103/SHARE.w7.700), see Börsch-Supan et al. (2013) for methodological details. The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA N°211909, SHARE-LEAP: GA N°227822, SHARE M4: GA N°261982) and Horizon 2020 (SHARE-DEV3: GA N°676536, SERISS: GA N°654221) and by DG Employment, Social Affairs & Inclusion. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org). We would like to extend our sincere thanks to Dr. Yuanyuan Gu, Prof. Matt Sutton, Prof. Andrew Jones, Dr. Anne Nolan, Dr. Alex Turner, Dr. Stephen O’Neill and Prof. Florence Jusot, who have provided valuable suggestions and commons in the European Health Economics Association workshop. We also acknowledge valuable suggestions and supports from Prof. Dr. Berthold U. Wigger, Prof. Dr. Nora Szech, Prof. Dr. Marcus Wouters and Prof. Dr. Andreas Geyer-Schulz. We are thankful for advice from the attendees of the Austrian Health Economics Association conference.

Funding

This work is supported by the China Scholarship Council (CSC) [grant numbers: 201606010333]. The funding source had no involvement in the whole process of the research.

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MX: Conceptualization; Data curation; Formal analysis; Methodology; Roles/Writing—original draft; Writing—review & editing. BB: Data curation; Methodology; Writing—review & editing.

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Correspondence to Mingming Xu.

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Xu, M., Bittschi, B. Does the abolition of copayment increase ambulatory care utilization?: a quasi-experimental study in Germany. Eur J Health Econ 23, 1319–1328 (2022). https://doi.org/10.1007/s10198-022-01430-4

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