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Survey Methods in Health Services Research

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Book cover Health Services Evaluation

Part of the book series: Health Services Research ((HEALTHSR))

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Abstract

Health-care surveys serve as a critical source of essential information on trends in health-care costs, coverage, access, and health-care quality. The findings derived from these surveys often facilitate the development, implementation and evaluation of policies and practices addressing health care and health behaviors at the national level. This chapter serves to illustrate several survey methods that enhance the performance and utility of health services research efforts. Attention has been given to the topics of sample and survey designs, nonresponse and attrition, estimation, precision, sample size determination, and analytical techniques to control for survey design complexities in analysis. Several of the topics that are featured in this chapter are further connected by their substantive focus on the measurement of trends in health-care costs, coverage, access, and health-care utilization. In addition to highlighting underlying survey operations, estimates, and outputs, the topics that have been covered also serve to identify potential enhancements that facilitate improvements in design, data collection, estimation strategies, and ultimately analytical capacity for health services research efforts.

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References

  • Botman S, Moore T, Moriarity C, Parsons V. Design and estimation for the National Health Interview Survey, 1995–2004. National Center for Health Statistics. Vital Health Stat. 2000;2(130)

    Google Scholar 

  • Chromy J. Variance estimators for a sequential sample selection procedure. In: Krewski D, Rao J, Platek R, editors. Current topics in survey sampling. New York: Academic Press; 1981. p. 329–47.

    Chapter  Google Scholar 

  • Cochran W. Sampling techniques. New York: Wiley; 1977.

    Google Scholar 

  • Cohen S. Methodology report #11: sample design of the 1997 Medical Expenditure Panel Survey household component. Rockville: Agency for Healthcare Research and Quality; 2000. http://www.meps.ahrq.gov/data_files/publications/mr11/mr11.shtml

    Google Scholar 

  • Cohen S. Design strategies and innovations in the Medical Expenditure Panel Survey. Med Care. 2003;4(7):5–12.

    Google Scholar 

  • Cohen S, Yu W. The utility of prediction models to oversample the long term uninsured. Med Care. 2009;47(1):80–7.

    Article  Google Scholar 

  • Cohen S, DiGaetano R, Goksel H. Methodology report #5: estimation procedures in the 1996 Medical Expenditure Panel Survey household component. Rockville: Agency for Healthcare Research and Quality; 1999. http://www.meps.ahrq.gov/data_files/publications/mr5/mr5.shtml

    Google Scholar 

  • Cohen SB, Machlin S, Branscome J. Patterns of attrition and reluctant response in the 1996 Medical Expenditure Panel Survey. J Health Serv Outcome Res Methodol. 2000;1(2):131–48.

    Article  Google Scholar 

  • Cohen S, Ezzati-Rice T, Yu W. Integrated survey designs: a framework for nonresponse bias reduction. J Econ Soc Meas. 2005;30(2-3):101–14.

    Google Scholar 

  • Cohen SB, Ezzati-Rice T, Yu W. The utility of extended longitudinal profiles in predicting future health care expenditures. Med Care. 2006a;44(5):45–53.

    Google Scholar 

  • Cohen S, Ezzati-Rice T, Yu W. The impact of survey attrition on health insurance coverage estimates in a National Longitudinal Health Care Survey. J Health Serv Outcome Res Methodol. 2006b;6:111–25.

    Article  Google Scholar 

  • Cohen J, Cohen S, Banthin J. The Medical Expenditure Panel Survey: a national information resource to support healthcare cost research and inform policy and practice. Med Care. 2009;47(7):S1:44–50.

    Google Scholar 

  • Cox B, Cohen, S. Methodological issues for health care surveys. New York/Basel: 1985: Marcel Dekker

    Google Scholar 

  • Groves R, Heeringa S. Responsive design for household surveys: tools for actively controlling survey errors and costs. J R Stat Soc Ser A. 2006;169:439–57.

    Article  Google Scholar 

  • Groves R, Fowler F, Couper M, Lepkowski J, Tourangeau R. Survey methodology. 2nd ed. New York: Wiley; 2009.

    Google Scholar 

  • Hansen M, Hurwitz W. The problem of nonresponse in sample surveys. J Am Stat Assoc. 1946;41:517–29.

    Article  CAS  Google Scholar 

  • Korn E, Graubard B. Analysis of health surveys. New York: Wiley; 1999.

    Book  Google Scholar 

  • Lynn P. Methodology of longitudinal surveys. Chichester: Wiley; 2009.

    Book  Google Scholar 

  • Madans J, Cohen S. Health surveys: a resource to inform health policy and practice. In: Health statistics in the 21st century: implications for health policy and practice. New York: Oxford University Press; 2005.

    Google Scholar 

  • Rubin D. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987.

    Book  Google Scholar 

  • Selden T, Hudson J. Access to care and utilization among children: estimating the effects of public and private coverage. Med Care. 2006;44(5):19–26.

    Google Scholar 

  • Short P, Graefe D. Battery-powered health insurance? Stability in coverage of the uninsured. Health Aff. 2003;22(6):244–55.

    Article  Google Scholar 

  • Stinchcombe A, Jones C, Sheatsley P. Nonresponse bias for attitude questions. Public Opin Q. 1981;45:359–75.

    Article  Google Scholar 

  • Stoop I, Billiet J, Koch A, et al. Improving survey response. Chichester: Wiley; 2010.

    Book  Google Scholar 

  • Vartivarian S, Jang S, Salvucci S, Kasprzyk D. Subsampling nonrespondents: Issue of calculating response rates. In: Proceedings of the section on survey research methods. Alexandria: American Statistical Association; 2006. p. 3796–8.

    Google Scholar 

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Correspondence to Steven B. Cohen .

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© 2019 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply

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Cohen, S.B. (2019). Survey Methods in Health Services Research. In: Levy, A., Goring, S., Gatsonis, C., Sobolev, B., van Ginneken, E., Busse, R. (eds) Health Services Evaluation. Health Services Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-8715-3_38

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  • DOI: https://doi.org/10.1007/978-1-4939-8715-3_38

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-8714-6

  • Online ISBN: 978-1-4939-8715-3

  • eBook Packages: MedicineReference Module Medicine

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