Accuracy of influenza vaccination rate estimates in United States nursing home residents. Grosholz, J., M., Blake, S., Daugherty, J., D., Ayers, E., Omer, S., B., Polivka-West, L., & Howard, D., H. Epidemiology and infection, Cambridge University Press, 18, 2014.
Accuracy of influenza vaccination rate estimates in United States nursing home residents [link]Website  abstract   bibtex   
SUMMARY The US Center for Medicare and Medicaid Services (CMS) requires nursing homes and long-term-care facilities to document residents' vaccination status on the Resident Assessment Instrument (RAI). Vaccinating residents can prevent costly hospital admissions and deaths. CMS and public health officials use RAI data to measure vaccination rates in long-term-care residents and assess the quality of care in nursing homes. We assessed the accuracy of RAI data against medical records in 39 nursing homes in Florida, Georgia, and Wisconsin. We randomly sampled residents in each home during the 2010-2011 and 2011-2012 influenza seasons. We collected data on receipt of influenza vaccination from charts and RAI data. Our final sample included 840 medical charts with matched RAI records. The agreement rate was 0·86. Using the chart as a gold standard, the sensitivity of the RAI with respect to influenza vaccination was 85% and the specificity was 77%. Agreement rates varied within facilities from 55% to 100%. Monitoring vaccination rates in the population is important for gauging the impact of programmes and policies to promote adherence to vaccination recommendations. Use of data from RAIs is a reasonable approach for gauging influenza vaccination rates in nursing-home residents.;
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 title = {Accuracy of influenza vaccination rate estimates in United States nursing home residents},
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 year = {2014},
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 city = {University of South Florida Sarasota-Manatee,Sarasota,FL,USA.; Rollins School of Public Health, Emory University,Atlanta,GA,USA.; Centers for Disease Control and Prevention,National Center for Health Statistics,Hyattsville,MD,USA.; Rollins School of Publi},
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 notes = {ID: 25519437; Accession Number: 25519437. Language: English. Date Revised: 20141219. Date Created: 20141218. Update Code: 20150115. Publication Type: JOURNAL ARTICLE. Journal ID: 8703737. Publication Model: Print-Electronic. Cited Medium: Internet. NLM ISO Abbr: Epidemiol. Infect.. Linking ISSN: 09502688. Date of Electronic Publication: 2014 Dec 18. Current Imprints: Publication: Cambridge Eng : Cambridge University Press; Original Imprints: Publication: Cambridge ; New York, NY, USA : Cambridge University Press, c1987-},
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 abstract = {SUMMARY The US Center for Medicare and Medicaid Services (CMS) requires nursing homes and long-term-care facilities to document residents' vaccination status on the Resident Assessment Instrument (RAI). Vaccinating residents can prevent costly hospital admissions and deaths. CMS and public health officials use RAI data to measure vaccination rates in long-term-care residents and assess the quality of care in nursing homes. We assessed the accuracy of RAI data against medical records in 39 nursing homes in Florida, Georgia, and Wisconsin. We randomly sampled residents in each home during the 2010-2011 and 2011-2012 influenza seasons. We collected data on receipt of influenza vaccination from charts and RAI data. Our final sample included 840 medical charts with matched RAI records. The agreement rate was 0·86. Using the chart as a gold standard, the sensitivity of the RAI with respect to influenza vaccination was 85% and the specificity was 77%. Agreement rates varied within facilities from 55% to 100%. Monitoring vaccination rates in the population is important for gauging the impact of programmes and policies to promote adherence to vaccination recommendations. Use of data from RAIs is a reasonable approach for gauging influenza vaccination rates in nursing-home residents.;},
 bibtype = {article},
 author = {Grosholz, J M and Blake, S and Daugherty, J D and Ayers, E and Omer, S B and Polivka-West, L and Howard, D H},
 journal = {Epidemiology and infection}
}

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