Original article
Vol. 155 No. 12 (2025)
Does health insurance status influence surgical complications? An analysis of abdominal, thoracic and vascular interventions in a Swiss tertiary referral centre
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Cite this as:
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Swiss Med Wkly. 2025;155:4179
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Published
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10.12.2025
Summary
STUDY AIMS: In Switzerland, basic health insurance is compulsory. Supplementary or private health insurance may be arranged, providing advantages such as hospital comfort and a free choice of doctors. Since there is limited data on whether insurance status influences the outcome of surgery, this study aimed to investigate the influence of supplementary insurance status on the overall complication occurrence in a group of abdominal, thoracic and vascular surgeries.
METHODS: This study is based on surgical patient data prospectively collected between September 2016 and March 2018 from one participating Swiss tertiary referral hospital of the StOP?-trial (NCT02428179), which investigated the effect of structured intraoperative briefings on patient outcomes. First, additional data, including insurance status, demographic and surgical parameters within 30 days was collected. Second, due to endogeneity concerns in the sample driven by selective access to a supplementary insurance, propensity-score matching (PSM) was used to balance samples for the treatment variable (insurance status) by demographic parameters and surgical complexity. The primary outcome was the estimated treatment effect of a supplementary insurance on the occurrence of surgical complications, categorised by the Clavien-Dindo classification (CDC). Finally, multiple logistic regression was used to detect further conditional associations of demographic and surgical variables with the occurrence of complications.
RESULTS: Of all 3173 procedures, 64.3% were elective, 48.2% had a higher surgical complexity (excluding appendectomies, cholecystectomies, hernia surgery and lymph node excision) and 18.6% of all patients had supplementary insurance. The occurrence of complications, including surgical site infection and postoperative complications, was 30.4%. After matching 591 patients with basic insurance to 591 patients with a supplementary insurance, no significant association between insurance status and complications could be found (crude odds ratio [OR] [95% CI]: 0.97 [0.77–1.23]). In contrast to insurance status, multiple logistic regression identified that variables such as surgical complexity (adjusted OR [95% CI]: 1.80 [1.27–2.56]), contamination (adjusted OR [95% CI]: 1.90 [1.41–2.56]) and duration of surgery (adjusted OR [95% CI]: 1.008 [1.006–1.009]) were associated with the occurrence of complications.
CONCLUSION: Despite the different cost-liable insurance levels, there were no significant differences and, therefore, no disadvantages for basic insured patients regarding the complication rate in this Swiss cohort undergoing abdominal, thoracic or vascular surgery.
References
- 1. Swiss Federal Council, Botschaft über die Revision der Krankenversicherung. 1991.
- 2. Paccagnella O, Rebba V, Weber G. Voluntary private health insurance among the over 50s in Europe. Health Econ. 2013 Mar;22(3):289–315. doi: https://doi.org/10.1002/hec.2800
- 3. Veltre DR, Sing DC, Yi PH, Endo A, Curry EJ, Smith EL, et al. Insurance Status Affects Complication Rates After Total Hip Arthroplasty. J Am Acad Orthop Surg. 2019 Jul;27(13):e606–11. doi: https://doi.org/10.5435/JAAOS-D-17-00635
- 4. Williams DM, Thirukumaran CP, Oses JT, Mesfin A. Complications and Mortality Rates Following Surgical Management of Extradural Spine Tumors in New York State. Spine. 2020 Apr;45(7):474–82. doi: https://doi.org/10.1097/BRS.0000000000003294
- 5. Goodair B, Reeves A. The effect of health-care privatisation on the quality of care. Lancet Public Health. 2024 Mar;9(3):e199–206. doi: https://doi.org/10.1016/S2468-2667(24)00003-3
- 6. Manoso MW, Cizik AM, Bransford RJ, Bellabarba C, Chapman J, Lee MJ. Medicaid status is associated with higher surgical site infection rates after spine surgery. Spine. 2014 Sep;39(20):1707–13. doi: https://doi.org/10.1097/BRS.0000000000000496
- 7. Funke L, Canal C, Ziegenhain F, Pape HC, Neuhaus V. Does the insurance status influence in-hospital outcome? A retrospective assessment in 30,175 surgical trauma patients in Switzerland. Eur J Trauma Emerg Surg. 2022 Apr;48(2):1121–8. doi: https://doi.org/10.1007/s00068-021-01689-x
- 8. Schneider MA, Rickenbacher A, Frick L, Cabalzar-Wondberg D, Käser S, Clavien PA, et al. Insurance status does not affect short-term outcomes after oncological colorectal surgery in Europe, but influences the use of minimally invasive techniques: a propensity score-matched analysis. Langenbecks Arch Surg. 2018 Nov;403(7):863–72. doi: https://doi.org/10.1007/s00423-018-1716-8
- 9. Duggan BT, Roth JA, Dangel M, Battegay M, Widmer AF. Impact of health insurance status on surgical site infection incidence: A prospective cohort study. Infect Control Hosp Epidemiol. 2019 Sep;40(9):1063–5. doi: https://doi.org/10.1017/ice.2019.195
- 10. Sagan A, Thomson S, editors. Voluntary health insurance in Europe: Country experience. Copenhagen, Denmark; 2016.
- 11. Tschan F, Keller S, Semmer NK, Timm-Holzer E, Zimmermann J, Huber SA, et al. Effects of structured intraoperative briefings on patient outcomes: multicentre before-and-after study. Br J Surg. 2021 Dec;109(1):136–44. doi: https://doi.org/10.1093/bjs/znab384
- 12. NICE. Routine preoperative tests for elective surgery, Guideline [NG45]National Institute for Health and Care Excellence; 2016.
- 13. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004 Aug;240(2):205–13. doi: https://doi.org/10.1097/01.sla.0000133083.54934.ae
- 14. Ruef, C., M.C. Eisenring, and N. Troillet, Erfassung postoperativer Wundinfektionen. Nationales Programm durchgeführt von Swissnoso im Auftrag des ANQ, 2013.
- 15. Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Annu Rev Public Health. 2000;21(1):121–45. doi: https://doi.org/10.1146/annurev.publhealth.21.1.121
- 16. Altwicker-Hámori S, Stucki M. Factors associated with the choice of supplementary hospital insurance in Switzerland - an analysis of the Swiss Health Survey. BMC Health Serv Res. 2023 Mar;23(1):264. doi: https://doi.org/10.1186/s12913-023-09221-0
- 17. Kuss O. The z-difference can be used to measure covariate balance in matched propensity score analyses. J Clin Epidemiol. 2013 Nov;66(11):1302–7. doi: https://doi.org/10.1016/j.jclinepi.2013.06.001
- 18. Heinz P, Wendel-Garcia PD, Held U. Impact of the matching algorithm on the treatment effect estimate: A neutral comparison study. Biom J. 2024 Jan;66(1):e2100292. doi: https://doi.org/10.1002/bimj.202100292
- 19. Ho DE, Imai K, King G, Stuart EA. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Polit Anal. 2007;15(3):199–236. doi: https://doi.org/10.1093/pan/mpl013
- 20. Congress of the United States Congressional Budget Office, Federal Subsidies for Health Insurance Coverage for People Under Age 65: 2019 to 2029. 2019.