| Literature DB >> 32853246 |
Angela M Parcesepe1,2, Kathryn Lancaster3, E Jennifer Edelman4,5, Raquel DeBoni6, Jeremy Ross7, Lukoye Atwoli8, Mpho Tlali9, Keri Althoff10, Judicaël Tine11, Stephany N Duda12, C William Wester13,14, Denis Nash15,16.
Abstract
BACKGROUND: Substance use is common among people living with HIV and has been associated with suboptimal HIV treatment outcomes. Integrating substance use services into HIV care is a promising strategy to improve patient outcomes.Entities:
Mesh:
Year: 2020 PMID: 32853246 PMCID: PMC7451518 DOI: 10.1371/journal.pone.0237772
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Geographic distribution of the HIV treatment sites from the IeDEA consortium participating in the 2014–2015 and 2017 global site surveys*.
*Image created by the authors in ESRI’s ArcGIS 10.1; no copyrighted material was used [69, 70].
Substance use-related education, screening, and referral to treatment in HIV treatment programs within the IeDEA consortium, 2014–2015 and 2017.
| Site assessment, 2014–2015 n = 286 | Site assessment, 2017” n = 237 | |||
|---|---|---|---|---|
| Sites n (%) | RAR | Sites n (%) | RAR | |
| On-site | 215 (75%) | 42–100% | 200 (84%) | 68–93% |
| Off-site | 8 (3%) | 0–8% | 9 (4%) | 0–14% |
| Not available | 63 (22%) | 0–51% | 28 (12%) | 5–26% |
| On-site | 148 (52%) | 6–89% | 160 (68%) | 29–90% |
| Off-site | 27 (9%) | 6–24% | 15 (6%) | 0–21% |
| Not available | 111 (39%) | 0–71% | 62 (26%) | 5–50% |
| On-site | 146 (51%) | 0–91% | 139 (59%) | 29–81% |
| Off-site | 43 (15%) | 9–24% | 40 (17%) | 11–50% |
| Not available | 97 (34%) | 0–76% | 58 (24%) | 2–50% |
| 118 (41%) | 0–84% | 115 (49%) | 14–71% | |
*RAR = Range of percentages across IeDEA regions
Availability of on-site substance use education, screening, and referral at HIV treatment programs participating in the 2014–2015 and 2017 surveys, IeDEA consortium (n = 147).
| Site assessment, 2014–2015 n (%) | Site assessment, 2017 n (%) | p-value | |
|---|---|---|---|
| On-site education on high-risk substance use behaviors and harm reduction practices | 122 (83) | 128 (87) | 0.26 |
| On-site screening for drug or alcohol use | 90 (61) | 109 (74) | <0.01 |
| On-site referral for substance use treatment | 84 (57) | 97 (66) | 0.07 |
| On-site education, screening and referral | 73 (50) | 84 (57) | 0.12 |
Fig 2Changes in availability of on-site substance use-related education, screening, and referral at HIV treatment programs participating in the 2014–2015 and 2017 surveys, IeDEA consortium (n = 147).
Site-level characteristics and availability of on-site substance use-related education, screening, and referral at 237 HIV treatment sites within the IeDEA consortium in 2017.
| Characteristic | Total n | Education n (%) | Screening n (%) | Referral n (%) | Education, Screening, and Referral n (%) |
|---|---|---|---|---|---|
| Urban/Mostly urban | 157 | 135 (86) | 117 (75) | 102 (65) | 86 (55) |
| Rural/Mostly rural | 52 | 42 (81) | 35 (67) | 31 (60) | 26 (50) |
| Unknown/Missing | 28 | ||||
| Primary (health center) | 101 | 78 (77) | 66 (65) | 58 (57) | |
| District hospital | 17 | 14 (82) | 10 (59) | 8 (47) | |
| Regional, provincial, or teaching hospital | 92 | 60 (65) | 56 (61) | 45 (49) | |
| Unknown/Missing | 27 | ||||
| Adults only | 99 | 87 (88) | |||
| Children/adolescents only | 30 | 21 (70) | |||
| Adults and children/adolescents | 108 | 92 (85) | |||
| Public | 202 | 168 (83) | 132 (65) | 119 (59) | 97 (48) |
| Private | 35 | 32 (91) | 28 (80) | 20 (57) | 18 (51) |
| Asia-Pacific | 53 | ||||
| Caribbean, Central and South America | 14 | ||||
| Central Africa | 19 | ||||
| East Africa | 58 | ||||
| North America | 41 | ||||
| Southern Africa | 38 | ||||
| West Africa | 14 | ||||
| Low income | 74 | 61 (82) | |||
| Lower middle income | 60 | 51 (85) | |||
| Upper middle income | 38 | 29 (76) | |||
| High income | 65 | 60 (92) |
aDifferences that were significant at p <0.05 level of significance are highlighted in bold.
bBased on 2017 World Bank Income Designation of country in which site was located
Percentages were computed using the number of sites with a non-missing value.