The quality of health data obtained in a new survey of elderly Americans: a validation study of the proposed Medicare Beneficiary Health Status Registry (MBHSR)
- PMID: 9008681
- DOI: 10.1093/geronb/52b.1.s49
The quality of health data obtained in a new survey of elderly Americans: a validation study of the proposed Medicare Beneficiary Health Status Registry (MBHSR)
Abstract
The Medicare Beneficiary Health Status Registry (MBHSR) is a proposed new survey program that would collect health status indicators annually from large probability samples of Medicine beneficiaries. For reasons of economy, the MBHSR would use mail survey procedures with telephone follow-up of nonrespondents. Because of concerns about response rates and the validity and reliability of the data obtained by such methods, a large-scale (N = 1,922) field test was conducted. The field test assessed the validity of MBHSR survey reports of past medical treatment and conditions by comparing those reports with Medicare claims data. It assessed the (internal) reliability of MBHSR survey responses by comparing responses with logically related survey questions from the MBHSR. Analyses indicate that the MBHSR survey procedures using a combination of mail data collection with telephone follow-up of nonrespondents produced relatively high levels of sensitivity and specificity in identifying medical treatments and procedures previously recorded in Medicare claims data. In addition, the MBHSR Field Test obtained, in general, relatively high levels of internal consistency in survey reports.
Similar articles
-
Monitoring the health status and impact of treatment on Americans: the Medicare Beneficiary Health Status Registry.Med Care. 1999 Feb;37(2):189-203. doi: 10.1097/00005650-199902000-00009. Med Care. 1999. PMID: 10024123
-
Identifying neuropsychiatric disorders in the Medicare Current Beneficiary Survey: the benefits of combining health survey and claims data.BMC Health Serv Res. 2016 Oct 1;16(1):537. doi: 10.1186/s12913-016-1774-y. BMC Health Serv Res. 2016. PMID: 27716198 Free PMC article.
-
Identifying persons with diabetes using Medicare claims data.Am J Med Qual. 1999 Nov-Dec;14(6):270-7. doi: 10.1177/106286069901400607. Am J Med Qual. 1999. PMID: 10624032
-
Eligibility for the Medicare buy-in programs, based on a survey of income and program participation simulation.Soc Secur Bull. 2000;63(3):13-25. Soc Secur Bull. 2000. PMID: 11439702
-
Linking Medicare and national survey data.Ann Intern Med. 1997 Oct 15;127(8 Pt 2):691-5. doi: 10.7326/0003-4819-127-8_part_2-199710151-00051. Ann Intern Med. 1997. PMID: 9382381 Review.
Cited by
-
Specificity and sensitivity of claims-based algorithms for identifying members of Medicare+Choice health plans that have chronic medical conditions.Health Serv Res. 2004 Dec;39(6 Pt 1):1839-57. doi: 10.1111/j.1475-6773.2004.00321.x. Health Serv Res. 2004. PMID: 15533190 Free PMC article.
-
Predictors of self-report of heart failure in a population-based survey of older adults.Circ Cardiovasc Qual Outcomes. 2012 May;5(3):396-402. doi: 10.1161/CIRCOUTCOMES.111.963116. Circ Cardiovasc Qual Outcomes. 2012. PMID: 22592753 Free PMC article.
-
A dynamic Markov model for forecasting diabetes prevalence in the United States through 2050.Health Care Manag Sci. 2003 Aug;6(3):155-64. doi: 10.1023/a:1024467522972. Health Care Manag Sci. 2003. PMID: 12943151
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous