| Literature DB >> 32298336 |
Rakkoo Chung1, Shu-Yin John Leung1, Stephen N Abel2, Michael N Hatton2, Yanfang Ren3, Jeffrey Seiver4, Carol Sloane4, Howard Lavigne5, Travis O'Donnell1, Laura O'Shea1.
Abstract
While primary care providers in New York State (NYS) are mandated to offer all patients a HIV test, still many NYS residents miss the HIV screening opportunity. To fill the gap, and as the CDC recommends, this study aimed to examine the feasibility of implementing HIV screening in dental setting, identify patient characteristics associated with acceptance of HIV rapid testing, and discuss best practices of HIV screening in dental setting. New York State Department of Health (NYSDOH) collaborated with the Northeast/Caribbean AIDS Education and Training Center (NECA AETC) and three dental schools in New York State to offer free HIV screening tests as a component of routine dental care between February 2016 and March 2018. Ten clinics in upstate New York and Long Island participated in the study. HIV screening was performed using the OraQuick™ In-Home HIV Test. 14,887 dental patients were offered HIV screening tests; 9,057 (60.8%) were screened; and one patient (0.011%) was confirmed HIV positive and linked to medical care. Of all dental patients, 33% had never been screened for HIV; and 56% had not had a primary care visit or had not been offered an HIV screening test by primary care providers in the previous 12 months. Multi-level generalized linear modeling analysis indicated that test acceptance was significantly associated with patient's age, race/ethnicity, gender, country of origin, primary payer (or insurance), past primary care visits, past HIV testing experiences, and the poverty level of patient's community. HIV screening is well accepted by dental patients and can be effectively integrated into routine dental care. HIV screening in the dental setting can be a good option for first-time testers, those who have not seen a primary care provider in the last 12 months, and those who have not been offered HIV screening at their last primary care visit.Entities:
Year: 2020 PMID: 32298336 PMCID: PMC7161960 DOI: 10.1371/journal.pone.0231638
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1One of the promotional materials displayed in dental clinic waiting areas.
Dental patient characteristics.
| Characteristics | # (%) of patients | Acceptance | |
|---|---|---|---|
| All | 14,935 (100) | 60.0 | |
| Race/Ethnicity | Hispanic/Latino | 1,758 (11.8) | 62.9 |
| Non-Hispanic Black | 4,523 (30.3) | 56.1 | |
| Non-Hispanic White | 7,348 (49.2) | 62.2 | |
| Non-Hispanic NAAN | 343 (2.3) | 58.9 | |
| Non-Hispanic Asian | 311 (2.1) | 64.0 | |
| Non-Hispanic NHPI | 19 (.1) | 47.4 | |
| Other/Multi/Unknown | 633 (4.2) | 51.3 | |
| Age | 18 to 24 | 1,618 (10.8) | 64.7 |
| 25 to 34 | 3,310 (22.2) | 62.2 | |
| 35 to 44 | 2,068 (13.8) | 56.2 | |
| 45 to 54 | 2,471 (16.5) | 55.6 | |
| 55 to 64 | 2,677 (17.9) | 57.6 | |
| 65 or older | 2,749 (18.4) | 64.1 | |
| Unknown | 42 (.3) | 36.6 | |
| Gender | Woman | 8,051 (53.9) | 58.9 |
| Man | 6,849 (45.9) | 61.4 | |
| Transgender woman | 7 (.0) | 42.9 | |
| Transgender man | 0 (.0) | - | |
| Unknown | 28 (.2) | 50.0 | |
| Country of Birth | United States | 12,540 (84.0) | 59.3 |
| Other country | 1,737 (11.6) | 68.1 | |
| Unknown | 658 (4.4) | 55.3 | |
| Primary Payer | Private Insurance | 2,474 (16.6) | 65.2 |
| Medicaid | 6,793 (45.5) | 54.2 | |
| Medicare | 443 (3.0) | 75.8 | |
| No Insurance | 3,829 (25.6) | 64.9 | |
| Other/Unknown | 1,396 (9.3) | 54.2 | |
| Ever Been Tested for HIV | Yes | 7,950 (53.2) | 63.8 |
| No | 4,961 (33.2) | 70.9 | |
| Unknown | 2,024 (13.6) | 24.7 | |
| Had a Primary Care Visit | Yes | 10,448 (70.0) | 64.8 |
| No | 2,844 (19.0) | 71.2 | |
| Unknown | 1,643 (11.0) | 17.8 | |
| Among Those Who Had a PC Visit in the Past 12 Months, Being Offered HIV Screening | Yes | 4,194 (40.1) | 55.3 |
| No | 5,583 (53.4) | 73.1 | |
| Unknown | 671 (6.4) | 54.5 | |
a Acceptance rate (%) among the dental patients who were offered an HIV test; data from some dental offices in some months were excluded from the calculation of the acceptance rate if some of the patients who declined the HIV test offer were not reported.
b Native American and Alaskan Native.
c Native Hawaiian and Pacific Islander.
d Including Puerto Rico (PR).
Fig 2Geographic distribution of dental patients by ZIP Code, 2016–2018.
Estimates for multi-level generalized linear dichotomous models of HIV test acceptance (n = 13,656).
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| Intercept | .593 | 1.952 | 1.689 | 1.477 |
| Age 18–24 | - | - | -.027 (.074) | -.027 (.074) |
| Age 25–34 | - | - | reference | reference |
| Age 35–44 | - | - | -.381 | -.379 |
| Age 45–54 | - | - | -.371 | -.369 |
| Age 55–64 | - | - | -.393 | -.389 |
| Age 65+ | - | - | -.403 | -.397 |
| Asian | - | - | .131 (.159) | .100 (.160) |
| Black | - | - | .357 | .290 |
| Hispanic | - | - | .438 | .386 |
| Multi-Racial | - | - | .768 | .723 |
| NAAN | - | - | .163 (.293) | .108 (.291) |
| NHPI | - | - | -.360 (.551) | -.352 (.550) |
| Other | - | - | -.180 (.142) | -.224 (.142) |
| Unknown race/ethnicity | - | - | -.600 (.334) | -.651 (.334) |
| White | - | - | reference | reference |
| Female | - | - | -.163 | -.164 |
| Male | - | - | reference | reference |
| Born in US or PR | - | - | -.205 | -.204 |
| Born elsewhere | - | - | reference | reference |
| Private coverage | - | - | -.421 | -.417 |
| Medicaid | - | - | -.499 | -.510 |
| Medicare | - | - | reference | reference |
| Cash | - | - | -.419 | -.420 |
| Unknown payer | - | - | -.530 | -.530 |
| PC not visited | - | - | reference | reference |
| PC visited but not offered | - | - | .293 | .303 |
| PC visited and offered | - | - | -.289 | -.282 |
| Last test in the past 0-3mo | - | - | reference | reference |
| Last test in the past 4-6mo | - | - | .840 | .842 |
| Last test in the past 7-12mo | - | - | 1.061 | 1.063 |
| Last test in the past 13-24mo | - | - | 1.373 | 1.378 |
| Last test in the past 25-36mo | - | - | 1.199 | 1.208 |
| Last test in the past 37-60mo | - | - | 1.482 | 1.483 |
| Last test in the past 61mo+ | - | - | 1.139 | 1.150 |
| Never been tested | - | - | .921 | .931 |
| Unknown last test | - | - | -.045 (.084) | -.040 (.084) |
| Metropolitan area | - | - | - | -.003 (.116) |
| Non-metropolitan area | - | - | - | reference |
| Population density per ZCTA | - | - | - | .020 (.028) |
| % below 200% poverty level per ZCTA | - | - | - | .483 |
| Site #03: After protocol change | - | 1.654 | 1.655 | 1.646 |
| Site #03: Before protocol change | - | reference | reference | reference |
| Site #01 (fewer than 50 patients) | - | -.283 (.343) | -.350 (.448) | -.238 (.439) |
| Site #02 (health fairs) | - | 4.552 | 4.321 | 4.392 |
| Site #03 | - | -.639 | -.924 | -.856 |
| Site #04 | - | .496 | .491 | .399 |
| Site #05 | - | .023 (.153) | .583 (.329) | .610 (.330) |
| Site #06 (fewer than 50 patients) | - | 1.015 | .953 | 1.012 |
| Site #07 | - | .772 | .740 | .721 |
| Site #08 | - | -2.257 | -1.728 | -1.748 |
| Site #09 | - | .275 | .457 | .461 |
| Site #10 | - | reference | reference | reference |
| Error variance (L2 intercept) | .231 | .027 | .017 | .006 (.008) |
| -2LL | 17863.22 | 16001.55 | 15101.40 | 15081.02 |
Note
*p < .05;
** = likelihood ratio test significant; ICC = .066; values based on SAS PROC GLIMMIX; entries show parameter estimates with standard errors in parentheses; estimation method = Laplace.
a Best fitting model.
b Including transgender women; none of the patients identified as a transgender man.
c We tested different levels of poverty (from 50% to 500%) and found no noticeable difference in the results.