OBJECTIVE: One in seven of the 1.1 million people living in the United States infected with HIV are not aware of their HIV status. At the same time, many clinical settings have not adopted routine HIV screening, which promotes linkage to specialist medical care. We sought to improve HIV screening in a large community health center network by using a data-driven, collaborative learning approach and system-wide modifications, where counselor-based HIV screening and testing were replaced by health-care providers and medical assistants. METHODS: Urban Health Plan, Inc., a network of federally qualified health centers in the boroughs of the Bronx and Queens in New York City, provided HIV screening training for its health-care providers. In January 2011, it modified its electronic medical record system to incorporate HIV test offering. This study compared the 2010 baseline year with the three-year implementation follow-up period (January 2011 through December 2013) to determine the number of eligible individuals for HIV testing, HIV tests offered and performed, HIV-positive individuals, and HIV cases linked to specialty care. RESULTS: A total of 26,853 individuals at baseline and 100,369 individuals in the implementation period were eligible for HIV testing. HIV testing was performed on 2,079 (8%) of 26,853 eligible individuals in 2010 and 49,646 (50%) of 100,369 eligible individuals from 2011 through 2013. HIV-positive status was determined in 19 (0.9%) of 2,079 tested individuals in 2010 and 166 (0.3%) of 49,646 tested individuals from 2011 through 2013. Linkage to care was observed in all 19 eligible individuals and 127 (77%) of 166 eligible individuals who tested HIV positive in 2010 and 2011-2013, respectively. CONCLUSION: This study enabled routine HIV implementation testing at a community health center network, which resulted in enhanced HIV testing, an increased number of HIV-positive cases identified, and a rise in the number of patients linked to HIV specialist care.
OBJECTIVE: One in seven of the 1.1 million people living in the United States infected with HIV are not aware of their HIV status. At the same time, many clinical settings have not adopted routine HIV screening, which promotes linkage to specialist medical care. We sought to improve HIV screening in a large community health center network by using a data-driven, collaborative learning approach and system-wide modifications, where counselor-based HIV screening and testing were replaced by health-care providers and medical assistants. METHODS: Urban Health Plan, Inc., a network of federally qualified health centers in the boroughs of the Bronx and Queens in New York City, provided HIV screening training for its health-care providers. In January 2011, it modified its electronic medical record system to incorporate HIV test offering. This study compared the 2010 baseline year with the three-year implementation follow-up period (January 2011 through December 2013) to determine the number of eligible individuals for HIV testing, HIV tests offered and performed, HIV-positive individuals, and HIV cases linked to specialty care. RESULTS: A total of 26,853 individuals at baseline and 100,369 individuals in the implementation period were eligible for HIV testing. HIV testing was performed on 2,079 (8%) of 26,853 eligible individuals in 2010 and 49,646 (50%) of 100,369 eligible individuals from 2011 through 2013. HIV-positive status was determined in 19 (0.9%) of 2,079 tested individuals in 2010 and 166 (0.3%) of 49,646 tested individuals from 2011 through 2013. Linkage to care was observed in all 19 eligible individuals and 127 (77%) of 166 eligible individuals who tested HIV positive in 2010 and 2011-2013, respectively. CONCLUSION: This study enabled routine HIV implementation testing at a community health center network, which resulted in enhanced HIV testing, an increased number of HIV-positive cases identified, and a rise in the number of patients linked to HIV specialist care.
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Authors: Karen W Hoover; Ya-Lin A Huang; Mary L Tanner; Weiming Zhu; Naomie W Gathua; Marc A Pitasi; Elizabeth A DiNenno; Suma Nair; Kevin P Delaney Journal: MMWR Morb Mortal Wkly Rep Date: 2020-06-26 Impact factor: 17.586