Secondary Data for Policy Studies: Benefits and Challenges

Abstract

Nurse clinicians, researchers, faculty, health service administrators, and consultants are increasingly involved in advocating public policy proposals to address health issues. One necessary tool for effective policy advocacy is a data-based analysis of the problem and recommended policy. Health policy research to inform the fast-paced, just-in-time policy-making process relies on existing government and nongovernmental data to maximize timeliness and credibility of results. Examples of recent reviews and studies using secondary analysis of public and industrial data are briefly described for further exploration. This overview of health policy research aims to foster more use of secondary data analysis studies to inform the policy-making process.

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References

Brooten, D. (1997). Methodological issues linking costs and outcomes. Medical Care, 35(Suppl. 11), NS96-NS105.

Diers, D. , & Bozzo, J. (1999). Using administrative data for practice and management. Nursing Economic$, 17(4), 233-237.

Dumpe, M. L. , Herman, J. , & Young, S. W. (1998). Forecasting the nursing workforce in a dynamic health care market. Nursing Economic$, 16(4), 170-179, 188.

Hogan, A. J. (1997). Methodological issues in linking costs and health outcomes in research on differing care delivery systems. Medical Care, 35(Suppl. 11), NS96-NS105.

Keeler, E. B. , Park, R. E. , Bell, R. M. , Gifford, D. S. , & Keesey, J. (1997). Adjusting cesarean delivery rates for case mix. Health Services Research, 32, 511-528.

Kingdon, J. W. (1995). Agendas, alternatives and public policies (2nd ed.). Boston: Little, Brown.

Park, C. G. , Ryu, H. , & Young, W. B. (1997, July). Health care service utilization model for Asian-Americans. Paper presented at the 1997 Joint Meeting of the Public Health Conference on Records and Statistics and the Data Users Conference, National Center for Health Statistics, U.S. Department of Health and Human Services, Washington, DC.

Pollack, C. D. (1999). Methodological considerations with secondary analyses. Outcomes Management for Nursing Practice, 3(4), 147-152.

Rajmil, L. , Starfield, B. , Plasència, A. , & Segura, A. (1998). The consequences of universalizing health services: Children’s use of health services in Catalonia. International Journal of Health Services, 28, 777-791.

10.

Ray, W. (1997). Policy and program analysis using administrative databases. Annals of Internal Medicine, 127(8, Pt. 2), 712-718.

11.

Sochalski, J. , & Aiken, L. H. (1999). Accounting for variation in hospital outcomes: A cross-national study. Health Affairs, 18, 256-259.

12.

Wei, F. , Mark, D. , Hartz, A. , & Campbell, C. (1995). Are PRO discharge screens associated with postdischarge adverse outcomes? Health Services Research, 30, 489-506.

13.

Wunderlich, G. S. , Sloan, F. A. , & Davis, C. K. (Eds.). (1996). Nurse staff in hospitals and nursing homes: Is it adequate? Washington, DC: National Academy of Sciences.

14.

Young, W. B. (1997). The market for information in health policy: Using “just-in-time” strategy. In M. E. Lewin & E. Lipoff (Eds.), Information trading: How information influences the health policy process (pp. 11-26). Washington, DC: National Academy of Sciences.