Applying the small-area estimation method to estimate a population eligible for breast cancer detection services

Preventing Chronic Disease

Volumn 5, Issue 1, 2008, Pages

  Knutson, Kirsten ^a   Zhang, Weihong ^a   Tabnak, Farzaneh ^a  

^a Cancer Detection Section   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BREAST TUMOR; CLUSTER ANALYSIS; EPIDEMIOLOGY; ETHNIC GROUP; ETHNOLOGY; FEMALE; HEALTH CARE DELIVERY; HEALTH SERVICE; HUMAN; MAMMOGRAPHY; MASS SCREENING; MIDDLE AGED; MONTE CARLO METHOD; NEEDS ASSESSMENT; ORGANIZATION AND MANAGEMENT; PREVENTIVE HEALTH SERVICE; PUBLIC HEALTH; RISK ASSESSMENT; STATISTICS; UNITED STATES; UTILIZATION REVIEW;

ADULT; BREAST NEOPLASMS; CALIFORNIA; ETHNIC GROUPS; FEMALE; HEALTH CARE SURVEYS; HEALTH SERVICES ACCESSIBILITY; HUMANS; MAMMOGRAPHY; MASS SCREENING; MIDDLE AGED; MONTE CARLO METHOD; NEEDS ASSESSMENT; PREVENTIVE HEALTH SERVICES; PUBLIC HEALTH; RISK ASSESSMENT; SMALL-AREA ANALYSIS; STATISTICS AS TOPIC; WOMEN'S HEALTH SERVICES;

EID: 84978954611     PISSN: 15451151     EISSN: 21665435     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. DeNavas-Walt C, Proctor BD, Lee CH. Income, poverty, and health insurance coverage in the United States: 2005. In: U.S. Census Bureau. Current population reports. Washington (DC): US Government Printing Office; 2006. p. 60-231.
2. Promising practices in chronic disease prevention and control: a public health framework for action. Atlanta (GA): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2003.
3. MacKenzie EJ, Shapiro S, Yaffe R. The utility of synthetic and regression estimation. Techniques for local health planning. Med Care 1985;23(1):1-13.
4. Jia H, Muennig P, Borawski E. Comparison of small-area analysis techniques for estimating county-level outcomes. Am J Prev Med 2004;26(5):453-60.
5. Elston JM, Koch GG, Weissert WG. Regression-adjusted small area estimates of functional dependency in the noninstitutionalized American population age 65 and over. Am J Public Health 1991;81(3):335-43.
6. Ponce N, Teleki S, Brown ER. California's uninsured children: a closer look at the local level. Berkeley (CA): University of California Berkeley School of Public Health, Center for Health and Public Policy Studies, Health Insurance Policy Program; 2000. http://chpps.berkeley.edu/publications/HIPP%20Policy%20Alert%2003_00.pdf. Accessed March 30, 2004.
7. Malec D, Davis WW, Cao X. Model-based small area estimates of overweight prevalence using sample selection adjustment. Stat Med 1999;18(23):3189-200.
8. Ghosh M, Rao JNK. Small area estimation: an appraisal. Stat Sci 1994;9:55-93.
9. Spasoff RA, Strike CJ, Nair RC, Dunkley GC, Boulet JR. Small group estimation for public health. Can J Public Health 1996;87(2):130-4.
10. Lafata JE, Koch GG, Weissert WG. Estimating activity limitation in the noninstitutionalized population: a method for small areas. Am J Public Health 1994;84(11):1813-7.
11. Rossi P, Freeman H. Evaluation: a systemic approach. Newbury Park (CA): Sage Publications; 1993.
12. Porter EJ. Defining the eligible, accessible population for a phenomenological study. West J Nurs Res 1999;21(6):796-804.
13. Bartholomew LK, Parcel G, Kok G, Gottlieb N. Intervention mapping: designing theory- and evidence-based health promotion programs. Mountain View (CA): Mayfield Publishing Company; 2001.
14. Bitler M, Currie J, Scholz J. WIC eligibility and participation. J Hum Resources 2003;38(S):1139-79.
15. Brown ER, Meng Y, Mendez CA, Yu H. Uninsured Californians in assembly and senate districts, 2000. Los Angeles (CA): UCLA Center for Health Policy Research; 2001.
16. California Women's Health Survey SAS dataset documentation and technical report 2003. Sacramento: California Department of Health Services, Cancer Surveillance Section, Survey Research Group; 2004.
17. Census 2000 Summary File 3 - California. Washington (DC): U.S. Census Bureau; 2002. http://factfinder.census.gov/servlet/DatasetMainPageServlet?_program=DEC&_lang=en&_ts. Accessed April 25, 2005.
18. Provisional guidance on the implementation of the 1997 standards for federal data on race and ethnicity, 2000. Washington (DC): Office of Management and Budget; 2000. http://www.whitehouse.gov/omb/inforeg/re_guidance2000update.pdf. Accessed March 16, 2005.
19. Borawski E, Jia H. State and county estimates of severe work disability among Missouri adults, aged 18-64, 1993-1996 BRFSS. Jefferson City: Missouri Department of Health and Senior Services; 1998.
20. Andrews HF, Kerner JF, Zauber AG, Mandelblatt J, Pittman J, Struening E. Using census and mortality data to target small areas for breast, colorectal, and cervical cancer screening. Am J Public Health 1994;84(1):56-61.
21. Wolfinger R, O'Connell M. Generalized linear mixed models: a pseudo-likelihood approach. J Stat Computation Simulation 1993;48:233-43.
22. Ericksen EP. A regression method for estimating population changes of local areas. J Am Stat Assoc 1974;69(348):867-75.
23. Rothman KJ, Greenland S. Modern epidemiology. 2nd ed. Philadelphia (PA): Lippincott Williams & Wilkins; 1998.
24. Shtatland ES, Cain E, Barton MB. The perils of stepwise logistic regression and how to escape them using information criteria and the output delivery system. Proceedings from the 26th Annual SAS Users Group International Conference. 2001 Apr 22-25; Long Beach, C.A.
25. Thisted RA. The elements of statistical computing: numerical computation. New York (NY): Chapman and Hall/CRC; 1988.
26. Shao J, Tu D. The jackknife and bootstrap. New York (NY): Springer; 1996.
27. Tabnak F, Tholandi M, Kuniholm M. A spatial study of AIDS surveillance data by demographic subgroups in California. Sacramento: California Department of Health Services, Office of AIDS; 2001.
28. Brugal MT, Domingo-Salvany A, Maguire A, Cayla JA, Villalbi JR, Hartnoll R. A small area analysis estimating the prevalence of addiction to opioids in Barcelona, 1993. J Epidemiol Community Health 1999;53(8):488-94.
29. Tangka FK, Dalaker J, Chattopadhyay SK, Gardner JG, Royalty J, Hall IJ, et al. Meeting the mammography screening needs of underserved women: the performance of the National Breast and Cervical Cancer Early Detection Program in 2002-2003 (United States). Cancer Causes Control 2006;17(9):1145-54.
30. WISEWOMAN - Well-Integrated Screening and Evaluation for Women Across the Nation. Atlanta (GA): US Department of Health and Human Services, Centers for Disease Control and Prevention. http://www.cdc.gov/wisewoman/. Accessed December 18, 2006.