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The influence of patients’ immigration background and residence permit status on treatment decisions in health care. Results of a factorial survey among general practitioners in Switzerland

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  • Drewniak, Daniel
  • Krones, Tanja
  • Sauer, Carsten
  • Wild, Verina

Abstract

This study examines the influence of patients’ immigration background and residence permit status on physicians’ willingness to treat patients in due time. A factorial survey was conducted among 352 general practitioners with a background in internal medicine in a German-speaking region in Switzerland. Participants expressed their self-rating (SR) as well as the expected colleague-rating (CR) to provide immediate treatment to 12 fictive vignette patients. The effects of the vignette variables were analysed using random-effects models. The results show that SR as well as CR was not only influenced by the medical condition or the physicians’ time pressure, but also by social factors such as the ethnicity and migration history, the residence permit status, and the economic condition of the patients. Our findings can be useful for the development of adequate, practically relevant teaching and training materials with the ultimate aim to reduce unjustified discrimination or social rationing in health care.

Suggested Citation

  • Drewniak, Daniel & Krones, Tanja & Sauer, Carsten & Wild, Verina, 2016. "The influence of patients’ immigration background and residence permit status on treatment decisions in health care. Results of a factorial survey among general practitioners in Switzerland," Social Science & Medicine, Elsevier, vol. 161(C), pages 64-73.
    • Handle: RePEc:eee:socmed:v:161:y:2016:i:c:p:64-73
    DOI: 10.1016/j.socscimed.2016.05.039
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    1. Moskowitz, G.B. & Stone, J. & Childs, A., 2012. "Implicit stereotyping and medical decisions: Unconscious stereotype activation in practitioners' thoughts about African Americans," American Journal of Public Health, American Public Health Association, vol. 102(5), pages 996-1001.
    2. Meike Müller-Engelmann & Norbert Donner-Banzhoff & Heidi Keller & Lydia Rosinger & Carsten Sauer & Kerstin Rehfeldt & Tanja Krones, 2013. "When Decisions Should Be Shared," Medical Decision Making, , vol. 33(1), pages 37-47, January.
    3. van Ryn, Michelle & Burke, Jane, 2000. "The effect of patient race and socio-economic status on physicians' perceptions of patients," Social Science & Medicine, Elsevier, vol. 50(6), pages 813-828, March.
    4. Joop J. Hox & Ita G. G. Kreft & Piet L. J. Hermkens, 1991. "The Analysis of Factorial Surveys," Sociological Methods & Research, , vol. 19(4), pages 493-510, May.
    5. Sabin, J.A. & Greenwald, A.G., 2012. "The influence of implicit bias on treatment recommendations for 4 common pediatric conditions: Pain, urinary tract infection, attention deficit hyperactivity disorder, and asthma," American Journal of Public Health, American Public Health Association, vol. 102(5), pages 988-995.
    6. Balsa, Ana I. & McGuire, Thomas G., 2001. "Statistical discrimination in health care," Journal of Health Economics, Elsevier, vol. 20(6), pages 881-907, November.
    7. Van Ryn, M. & Burgess, D. & Malat, J. & Griffin, J., 2006. "Physicians' perceptions of patients' social and behavioral characteristics and race disparities in treatment recommendations for men with coronary artery disease," American Journal of Public Health, American Public Health Association, vol. 96(2), pages 351-357.
    8. Lutfey, Karen E. & Link, Carol L. & Grant, Richard W. & Marceau, Lisa D. & McKinlay, John B., 2009. "Is certainty more important than diagnosis for understanding race and gender disparities?: An experiment using coronary heart disease and depression case vignettes," Health Policy, Elsevier, vol. 89(3), pages 279-287, March.
    9. Hall, W.J. & Chapman, M.V. & Lee, K.M. & Merino, Y.M. & Thomas, T.W. & Payne, B.K. & Eng, E. & Day, S.H. & Coyne-Beasley, T., 2015. "Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: A systematic review," American Journal of Public Health, American Public Health Association, vol. 105(12), pages 60-76.
    10. Malhotra, Naresh K, 1982. "Information Load and Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 419-430, March.
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