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Picking up the pieces—Applying the DISEASE FILTER to health data

Listed author(s):
  • Gross, Christiane
  • Schübel, Thomas
  • Hoffmann, Rasmus
Registered author(s):

    This contribution presents systematic biases in the process of generating health data by using a step-by-step explanation of the DISEASE FILTER, a heuristic instrument that we designed in order to better understand and evaluate health data. The systematic bias in health data generally varies by data type (register versus survey data) and the operationalization of health outcomes. Self-reported subjective health and disease assessments, for instance, underlie a different selectivity than do data based on medical examinations or health care statistics. Although this is obvious, systematic approaches used to better understand the process of generating health data have been missing until now. We begin with the definitions and classifications of diseases that change (e.g. over time), describe the selective nature of access to and use of medical health care (e.g. depending on health insurance and gender), present biases in diagnoses (e.g. by gender and professional status), report these biases in relation to the decision for or against various treatment (e.g. by age and income), and finally outline the determinants of the treatments (ambulant versus stationary, e.g. via mobility and age). We then show how to apply the DISEASE FILTER to health data and discuss the benefits and shortcomings of our heuristic model. Finally, we give some suggestions on how to deal with biases in health data and how to avoid them.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0168851014003108
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    Article provided by Elsevier in its journal Health Policy.

    Volume (Year): 119 (2015)
    Issue (Month): 4 ()
    Pages: 549-557

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    Handle: RePEc:eee:hepoli:v:119:y:2015:i:4:p:549-557
    DOI: 10.1016/j.healthpol.2014.11.011
    Contact details of provider: Web page: http://www.elsevier.com/locate/healthpol

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    1. Elin Johanna Gudrun Hafsteinsdottir & Luigi Siciliani, 2010. "DRG prospective payment systems: refine or not refine?," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1226-1239.
    2. Aronowitz, Robert, 2008. "Framing disease: An underappreciated mechanism for the social patterning of health," Social Science & Medicine, Elsevier, vol. 67(1), pages 1-9, July.
    3. van Doorslaer, Eddy & Gerdtham, Ulf-G., 2003. "Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data," Social Science & Medicine, Elsevier, vol. 57(9), pages 1621-1629, November.
    4. Kempner, Joanna, 2006. "Gendering the migraine market: Do representations of illness matter?," Social Science & Medicine, Elsevier, vol. 63(8), pages 1986-1997, October.
    5. Philpott, Sue & Boynton, Petra M. & Feder, Gene & Hemingway, Harry, 2001. "Gender differences in descriptions of angina symptoms and health problems immediately prior to angiography: the ACRE study," Social Science & Medicine, Elsevier, vol. 52(10), pages 1565-1575, May.
    6. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    7. Butler, J S, et al, 1987. "Measurement Error in Self-reported Health Variables," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 644-650, November.
    8. Puhani, Patrick A, 2000. " The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    9. Safran, Dana Gelb & Rogers, William H. & Tarlov, Alvin R. & McHorney, Colleen A. & Ware, John E., 1997. "Gender differences in medical treatment: The case of physician-prescribed activity restrictions," Social Science & Medicine, Elsevier, vol. 45(5), pages 711-722, September.
    10. Grytten, Jostein & Holst, Dorthe & Laake, Petter, 1993. "Accessibility of dental services according to family income in a non-insured population," Social Science & Medicine, Elsevier, vol. 37(12), pages 1501-1508, December.
    11. James Smith & Raynard Kington, 1997. "Demographic and economic correlates of health in old age," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 159-170, February.
    12. Dunlop, Sheryl & Coyte, Peter C. & McIsaac, Warren, 2000. "Socio-economic status and the utilisation of physicians' services: results from the Canadian National Population Health Survey," Social Science & Medicine, Elsevier, vol. 51(1), pages 123-133, July.
    13. Eddy van Doorslaer & Xander Koolman & Andrew M. Jones, 2004. "Explaining income-related inequalities in doctor utilisation in Europe," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 629-647.
    14. Reindl Benjamins, Maureen & Brown, Carolyn, 2004. "Religion and preventative health care utilization among the elderly," Social Science & Medicine, Elsevier, vol. 58(1), pages 109-118, January.
    15. Helweg-Larsen, Marie & Kjøller, Mette & Thoning, Henrik, 2003. "Do age and social relations moderate the relationship between self-rated health and mortality among adult Danes?," Social Science & Medicine, Elsevier, vol. 57(7), pages 1237-1247, October.
    16. Koenig, Christopher J., 2011. "Patient resistance as agency in treatment decisions," Social Science & Medicine, Elsevier, vol. 72(7), pages 1105-1114, April.
    17. Verbrugge, Lois M., 1984. "How physicians treat mentally distressed men and women," Social Science & Medicine, Elsevier, vol. 18(1), pages 1-9, January.
    18. 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.
    19. Arber, Sara & Ginn, Jay, 1993. "Gender and inequalities in health in later life," Social Science & Medicine, Elsevier, vol. 36(1), pages 33-46, January.
    20. Peek, Monica E. & Odoms-Young, Angela & Quinn, Michael T. & Gorawara-Bhat, Rita & Wilson, Shannon C. & Chin, Marshall H., 2010. "Race and shared decision-making: Perspectives of African-Americans with diabetes," Social Science & Medicine, Elsevier, vol. 71(1), pages 1-9, July.
    21. Aronowitz, Robert, 2008. "Rejoinder to commentaries on "Framing disease: an underappreciated mechanism for the social patterning of health"," Social Science & Medicine, Elsevier, vol. 67(1), pages 20-22, July.
    22. Sussman, Linda K. & Robins, Lee N. & Earls, Felton, 1987. "Treatment-seeking for depression by black and white Americans," Social Science & Medicine, Elsevier, vol. 24(3), pages 187-196, January.
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