| Literature DB >> 31246940 |
Marc A Pitasi1, Kevin P Delaney1, John T Brooks1, Elizabeth A DiNenno1, Shacara D Johnson1, Joseph Prejean1.
Abstract
Since 2006, CDC has recommended universal screening for human immunodeficiency virus (HIV) infection at least once in health care settings and at least annual rescreening of persons at increased risk for infection (1,2), but data from national surveys and HIV surveillance demonstrate that these recommendations have not been fully implemented (3,4). The national Ending the HIV Epidemic initiative* is intended to reduce the number of new infections by 90% from 2020 to 2030. The initiative focuses first on 50 local jurisdictions (48 counties, the District of Columbia, and San Juan, Puerto Rico) where the majority of new diagnoses of HIV infection in 2016 and 2017 were concentrated and seven states with a disproportionate occurrence of HIV in rural areas relative to other states (i.e., states with at least 75 reported HIV diagnoses in rural areas that accounted for ≥10% of all diagnoses in the state).† This initial geographic focus will be followed by wider implementation of the initiative within the United States. An important goal of the initiative is the timely identification of all persons with HIV infection as soon as possible after infection (5). CDC analyzed data from the Behavioral Risk Factor Surveillance System (BRFSS)§ to assess the percentage of adults tested for HIV in the United States nationwide (38.9%), in the 50 local jurisdictions (46.9%), and in the seven states (35.5%). Testing percentages varied widely by jurisdiction but were suboptimal and generally low in jurisdictions with low rates of diagnosis of HIV infection. To achieve national goals and end the HIV epidemic in the United States, strategies must be tailored to meet local needs. Novel screening approaches might be needed to reach segments of the population that have never been tested for HIV.Entities:
Mesh:
Year: 2019 PMID: 31246940 PMCID: PMC6597119 DOI: 10.15585/mmwr.mm6825a2
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Ever and past-year testing for human immunodeficiency virus (HIV) among adults aged ≥18 years, by urban-rural classification* — Behavioral Risk Factor Surveillance System, United States, 50 local jurisdictions and seven states, 2016–2017
| Status | Total weighted % (95% CI) | Mostly urban counties weighted % (95% CI) | Mostly or completely rural counties weighted % (95% CI) | p-value§ |
|---|---|---|---|---|
| Ever tested for HIV | ||||
| United States |
| 40.1 (39.8–40.4) | 32.0 (31.5–32.4) | <0.001 |
| 50 local jurisdictions |
| 46.9 (46.3–47.5) | N/A | N/A |
| Seven states |
| 37.2 (36.6–37.8) | 32.1 (31.3–32.9) | <0.001 |
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| ||||
| United States |
| 10.6 (10.4–10.8) | 6.7 (6.4–7.0) | <0.001 |
| 50 local jurisdictions |
| 14.5 (14.0–14.9) | N/A | N/A |
| Seven states |
| 10.1 (9.7–10.5) | 7.6 (7.2–8.1) | <0.001 |
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| ||||
| United States |
| 30.2 (28.8–31.8) | 20.9 (17.7–24.4) | <0.001 |
| 50 local jurisdictions |
| 34.3 (31.3–37.3) | N/A | N/A |
| Seven states |
| 29.0 (25.5–32.8) | 18.4 (14.5–23.2) | <0.001 |
Abbreviations: CI = confidence interval; N/A = not applicable.
* Urban and rural classifications were derived from 2010 U.S. Census. Counties with <50% of the population residing in areas defined as rural were classified as urban counties. Counties with ≥50% of the population residing in areas defined as rural were classified as rural counties.
† The 50 local jurisdictions (48 counties, the District of Columbia, and San Juan, Puerto Rico) accounted for the majority of new HIV diagnoses, and the seven states (Alabama, Arkansas, Kentucky, Mississippi, Missouri, Oklahoma, and South Carolina) experienced disproportionate occurrence of HIV in rural areas, as identified from HIV diagnoses made during 2016–2017 and reported to the National HIV Surveillance System through June 2018. Diagnosis data from 2017 were considered preliminary.
§ Rao-Scott chi-square p-values compare testing estimates between mostly urban counties and mostly or completely rural counties
Ever and past-year testing for human immunodeficiency virus (HIV) among adults aged ≥18 years — Behavioral Risk Factor Surveillance System, 50 local jurisdictions and seven states,* 2016–2017
| Jurisdiction | No. of respondents† | Ever tested for HIV weighted % (95% CI) | Tested in past year for HIV weighted % (95% CI) |
|---|---|---|---|
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| Maricopa County | 11,130 | 36.5 (35.1–37.9) | 8.4 (7.6–9.3) |
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| Alameda County | 740 | 37.7 (33.3–42.3) | 8.1 (5.8–11.2) |
| Los Angeles County | 3,479 | 43.6 (41.3–45.9) | 13.4 (11.9–15.0) |
| Orange County | 1,206 | 39.8 (36.1–43.6) | 10.9 (8.7–13.6) |
| Riverside County | 920 | 39.6 (35.7–43.7) | 10.3 (8.0–13.1) |
| Sacramento County | 952 | 42.0 (38.1–46.0) | 9.1 (7.1–11.7) |
| San Bernardino County | 859 | 43.0 (38.8–47.2) | 12.7 (10.1–15.8) |
| San Diego County | 1,543 | 45.5 (42.3–48.7) | 14.3 (12.1–16.8) |
| San Francisco County | 442 | 51.8 (45.3–58.3) | 14.9 (11.3–19.3) |
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| 7,125 | 70.7 (69.2–72.1) | 26.4 (25.0–27.8) |
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| Broward County | 923 | 54.0 (49.4–58.5) | 19.0 (15.6–23.0) |
| Duval County | 1,502 | 57.0 (52.9–61.0) | 20.3 (16.7–24.4) |
| Hillsborough County | 1,148 | 52.7 (48.4–56.9) | 15.3 (12.3–18.8) |
| Miami-Dade County | 1,377 | 56.7 (52.4–60.9) | 18.5 (15.2–22.3) |
| Orange County | 1,301 | 48.6 (44.6–52.7) | 14.9 (12.2–18.1) |
| Palm Beach County | 911 | 45.5 (40.9–50.1) | 11.1 (8.4–14.4) |
| Pinellas County | 890 | 41.0 (36.4–45.8) | 12.4 (9.0–16.7) |
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| Cobb County | 576 | 43.7 (38.9–48.7) | 10.1 (7.4–13.6) |
| DeKalb County | 603 | 57.1 (52.2–61.9) | 19.5 (15.6–24.0) |
| Fulton County | 967 | 56.9 (53.2–60.5) | 19.7 (16.8–23.1) |
| Gwinnett County | 563 | 43.2 (38.4–48.2) | 11.8 (8.9–15.5) |
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| Cook County | 3,807 | 41.3 (39.3–43.2) | 13.5 (12.2–14.9) |
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| Marion County | 3,248 | 45.4 (42.9–47.9) | 13.0 (11.2–14.9) |
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| East Baton Rouge Parish | 664 | 49.7 (44.3–55.2) | 17.0 (13.2–21.6) |
| Orleans Parish | 423 | 58.2 (51.7–64.4) | 24.0 (18.2–31.1) |
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| Baltimore City | 1,735 | 62.4 (59.2–65.6) | 25.3 (22.3–28.6) |
| Montgomery County | 3,366 | 44.1 (41.7–46.5) | 10.6 (9.2–12.3) |
| Prince George’s County | 2,598 | 56.3 (53.4–59.1) | 22.4 (20.1–24.9) |
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| Suffolk County | 1,495 | 48.6 (44.7–52.5) | 15.2 (12.5–18.2) |
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| Wayne County | 2,906 | 45.3 (43.1–47.5) | 14.1 (12.5–15.8) |
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| Clark County | 2,770 | 40.7 (38.5–42.9) | 10.9 (9.5–12.4) |
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| Essex County | 1,581 | 55.0 (51.0–59.0) | 17.3 (14.4–20.6) |
| Hudson County | 905 | 50.2 (45.4–54.9) | 15.8 (12.5–19.6) |
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| Bronx County | 1,094 | 70.0 (66.4–73.4) | 31.3 (28.1–34.8) |
| Kings County | 2,030 | 57.0 (54.3–59.7) | 21.6 (19.4–23.9) |
| New York County | 1,782 | 60.0 (57.0–62.9) | 22.0 (19.6–24.6) |
| Queens County | 1,568 | 52.3 (49.2–55.5) | 18.0 (15.7–20.6) |
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| Mecklenburg County | 753 | 47.1 (42.9–51.3) | 13.5 (10.8–16.8) |
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| Cuyahoga County | 1,172 | 44.2 (40.7–47.9) | 11.9 (9.6–14.6) |
| Franklin County | 1,749 | 42.3 (39.4–45.1) | 10.1 (8.5–12.1) |
| Hamilton County | 912 | 41.6 (37.7–45.7) | 11.3 (8.9–14.3) |
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| Philadelphia County | 1,399 | 57.5 (54.2–60.7) | 21.4 (18.8–24.3) |
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| San Juan Municipio | 1,042 | 57.2 (52.7–61.6) | 17.0 (14.0–20.5) |
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| Shelby County | 717 | 53.4 (49.0–57.8) | 22.8 (18.9–27.3) |
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| Bexar County | 784 | 45.1 (39.9–50.5) | 13.7 (10.2–18.1) |
| Dallas County | 623 | 44.2 (38.7–49.8) | 14.4 (10.7–19.2) |
| Harris County | 1,214 | 45.9 (41.9–50.0) | 13.2 (10.8–16.2) |
| Tarrant County | 740 | 46.0 (40.8–51.4) | 11.6 (8.3–16.0) |
| Travis County | 1,855 | 50.2 (46.2–54.2) | 12.3 (9.9–15.3) |
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| King County | 6,101 | 39.4 (37.9–40.9) | 8.4 (7.5–9.3) |
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| Urban counties | 7,442 | 40.8 (39.4–42.3) | 12.1 (11.1–13.2) |
| Rural counties | 4,656 | 36.8 (34.8–38.8) | 8.8 (7.6–10.2) |
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| Urban counties | 5,206 | 35.8 (33.4–38.3) | 10.6 (8.9–12.5) |
| Rural counties | 4,062 | 30.9 (28.3–33.6) | 7.1 (5.7–8.8) |
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| Urban counties | 8,887 | 36.3 (34.7–38.0) | 8.0 (7.1–9.0) |
| Rural counties | 8,050 | 29.9 (28.4–31.4) | 6.0 (5.3–6.9) |
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| Urban counties | 4,207 | 44.3 (42.2–46.5) | 14.3 (12.7–16.1) |
| Rural counties | 4,777 | 35.4 (33.4–37.4) | 10.9 (9.5–12.4) |
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| Urban counties | 9,031 | 36.4 (34.8–37.9) | 9.3 (8.4–10.4) |
| Rural counties | 4,415 | 29.1 (27.1–31.3) | 5.6 (4.5–6.8) |
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| Urban counties | 7,365 | 30.7 (29.2–32.2) | 7.4 (6.5–8.4) |
| Rural counties | 4,587 | 27.8 (26.0–29.7) | 5.7 (4.8–6.9) |
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| Urban counties | 14,201 | 37.7 (36.5–38.8) | 10.5 (9.8–11.4) |
| Rural counties | 5,782 | 36.1 (34.3–38.0) | 10.9 (9.6–12.4) |
Abbreviation: CI = confidence interval.
* Urban and rural classifications were derived from 2010 U.S. Census. Counties with <50% of the population residing in areas defined as rural were classified as urban counties. Counties with ≥50% of the population residing in areas defined as rural were classified as rural counties. The 50 local jurisdictions (48 counties, the District of Columbia, and San Juan, Puerto Rico) accounted for the majority of new HIV diagnoses, and the seven states (Alabama, Arkansas, Kentucky, Mississippi, Missouri, Oklahoma, and South Carolina) experienced disproportionate occurrence of HIV in rural areas, as identified from HIV diagnoses made during 2016–2017 and reported to the National HIV Surveillance System through June 2018. Diagnosis data from 2017 were considered preliminary.
Number of respondents with “yes” or “no” response to question about ever testing for HIV.
FIGUREPercentage of adults aged ≥18 years ever tested for human immunodeficiency virus (HIV) infection and HIV diagnosis rate* among persons aged ≥13 years — Behavioral Risk Factor Surveillance System and National HIV Surveillance System (NHSS), 50 local jurisdictions accounting for the majority of new HIV diagnoses and seven states with disproportionate occurrence of HIV in rural areas, 2016–2017
* HIV diagnosis rates per 100,000 population among persons aged ≥13 years during 2016–2017 were calculated from HIV diagnoses reported to NHSS through December 2018 and Census population estimates for 2016 and 2017.
† The 50 local jurisdictions (48 counties, the District of Columbia, and San Juan, Puerto Rico) accounted for the majority of new HIV diagnoses, and the seven states (Alabama, Arkansas, Kentucky, Mississippi, Missouri, Oklahoma, and South Carolina) experienced disproportionate occurrence of HIV in rural areas, as identified from HIV diagnoses made during 2016–2017 and reported to NHSS through June 2018. Diagnosis data from 2017 were considered preliminary/
§ Pearson’s correlation coefficient = 0.71; p<0.01.