| Literature DB >> 31623428 |
Ellen Brazier1,2, Fernanda Maruri3, Stephany N Duda4, Olga Tymejczyk1,2, C William Wester3,5, Geoffrey Somi6, Jeremy Ross7, Aimee Freeman8, Morna Cornell9, Armel Poda10,11, Beverly S Musick12, Fujie Zhang13, Keri N Althoff8, Catrina Mugglin14, April D Kimmel15, Marcel Yotebieng16, Denis Nash1,2.
Abstract
INTRODUCTION: Since 2015, the World Health Organization (WHO) has recommended that all people living with HIV (PLHIV) initiate antiretroviral treatment (ART), irrespective of CD4+ count or clinical stage. National adoption of universal treatment has accelerated since WHO's 2015 "Treat All" recommendation; however, little is known about the translation of this guidance into practice. This study aimed to assess the status of Treat All implementation across regions, countries, and levels of the health care delivery system.Entities:
Keywords: zzm321990HIVzzm321990; HIV care; antiretroviral treatment; guideline implementation; “Treat all”
Mesh:
Substances:
Year: 2019 PMID: 31623428 PMCID: PMC6625339 DOI: 10.1002/jia2.25331
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Figure 1Timing of major HIV treatment guideline changes, including universal treatment of people living with HIV.
Implementation of Treat All at IeDEA sites, by national guideline status
| Participating sites | Sites implementing Treat All | Sites implementing Treat All prior to national guideline change | |||||
|---|---|---|---|---|---|---|---|
| All sites | In countries with national adoption of Treat All | In countries without national adoption of Treat All | All sites (N = 201) | In countries with national adoption of Treat All (N = 175) | In countries without national adoption of Treat All (N = 26) | ||
| All sites | 201 (100%) | 175 (87.1%) | 26 (12.9%) | 187 (93.0%) | 169 (96.6%) | 18 (69.2%) | 59 (34.7%) |
| IeDEA region [Fisher's exact test | [ | [ | [ | [ | |||
| Asia‐Pacific | 42 (20.9%) | 34 (81%) | 8 (19%) | 36 (85.7%) | 31 (91.2%) | 5 (62.5%) | 21 (65.6%) |
| Caribbean, Central and South America | 14 (7.0%) | 10 (71.4%) | 4 (28.6%) | 14 (100%) | 10 (100%) | 4 (100%) | 6 (50%) |
| Central Africa | 19 (9.5%) | 16 (84.2%) | 3 (15.8%) | 17 (89.5%) | 16 (100%) | 1 (33.3%) | 3 (17.6%) |
| East Africa | 42 (20.9%) | 39 (92.9%) | 3 (7.1%) | 42 (100%) | 39 (100%) | 3 (100%) | 13 (33.3%) |
| North America | 41 (20.4%) | 41 (100%) | 0 (0%) | 39 (95.1%) | 39 (95.1%) | 0 (0%) | 11 (35.5%) |
| Southern Africa | 35 (17.4%) | 35 (100%) | 0 (0%) | 34 (97.1%) | 34 (97.1%) | 0 (0%) | 0 (0%) |
| West Africa | 8 (4.0%) | 0 (0%) | 8 (100%) | 5 (62.5%) | 0 (0%) | 5 (62.5%) | 5 (100%) |
| Health facility type | [ | [ | [ | [ | |||
| Primary (health centre) | 101 (50.2%) | 96 (95%) | 5 (5%) | 97 (96%) | 94 (97.9%) | 3 (60.0%) | 22 (24.7%) |
| District hospital | 18 (9.0%) | 18 (100%) | 0 (0%) | 17 (94.4%) | 17 (94.4%) | 0 (0%) | 6 (37.5%) |
| Regional/provincial or teaching hospital | 82 (40.8%) | 61 (74.4%) | 21 (25.6%) | 73 (89%) | 58 (95.1%) | 15 (71.4%) | 31 (47.7%) |
| Sector | [ | [ | [ | [ | |||
| Public | 169 (84.1%) | 144 (85.2%) | 25 (14.8%) | 156 (92.3%) | 139 (96.5%) | 17 (68.0%) | 45 (31.9%) |
| Private | 32 (15.9%) | 31 (96.9%) | 1 (3.1%) | 31 (96.9%) | 30 (96.8%) | 1 (100%) | 14 (48.3%) |
| Facility location | [ | [ | [ | [ | |||
| Urban/Mostly urban | 149 (74.1%) | 124 (83.2%) | 25 (16.8%) | 136 (91.3%) | 119 (96.1%) | 17 (68.0%) | 54 (44.3%) |
| Rural/Mostly rural | 52 (25.9%) | 51 (98.1%) | 1 (1.9%) | 51 (98.1%) | 50 (98.0%) | 1 (100%) | 5 (10.4%) |
| Country income group | [ | [ | [ | [ | |||
| Low income | 58 (28.9%) | 50 (86.2%) | 8 (13.8%) | 54 (93.1%) | 49 (98.0%) | 5 (62.5%) | 6 (11.1%) |
| Lower‐middle income | 49 (24.4%) | 37 (75.5%) | 12 (24.5%) | 44 (89.8%) | 37 (100%) | 7 (58.3%) | 19 (47.5%) |
| Upper‐middle income | 29 (14.4%) | 27 (93.1%) | 2 (6.9%) | 28 (96.6%) | 26 (96.3%) | 2 (100%) | 9 (34.6%) |
| High income | 65 (32.3%) | 61 (93.8%) | 4 (6.2%) | 61 (93.8%) | 57 (93.4%) | 4 (100%) | 25 (50%) |
| PEPFAR‐supported country | [ | [ | [ | [ | |||
| No | 94 (46.8%) | 80 (85.1%) | 14 (14.9%) | 84 (89.4%) | 75 (93.8%) | 9 (64.3%) | 37 (52.1%) |
| Yes | 107 (53.2%) | 95 (88.8%) | 12 (11.2%) | 103 (96.3%) | 94 (98.9%) | 9 (75.0%) | 22 (22.2%) |
| GFATM‐supported country | [ | [ | [ | [ | |||
| No | 76 (37.8%) | 72 (94.7%) | 4 (5.3%) | 72 (94.7%) | 68 (94.4%) | 4 (100%) | 30 (50.0%) |
| Yes | 125 (62.2%) | 103 (82.4%) | 22 (17.6%) | 115 (92.0%) | 101 (98.1%) | 14 (63.6%) | 29 (26.4%) |
| Year of national Treat All adoption | [ | [ | ‐ | [ | |||
| 2012 (2 countries) | 41 (20.4%) | 41 (100%) | ‐ | 39 (95.1%) | 39 (95.1%) | ‐ | 11 (35.5%) |
| 2013 (2 countries) | 8 (4.0%) | 8 (100%) | ‐ | 8 (100%) | 8 (100%) | ‐ | 4 (50%) |
| 2014 (2 countries) | 6 (3.0%) | 6 (100%) | ‐ | 6 (100%) | 6 (100%) | ‐ | 1 (16.7%) |
| 2015 (2 countries) | 18 (9.0%) | 18 (100%) | ‐ | 16 (88.9%) | 16 (88.9%) | ‐ | 8 (61.5%) |
| 2016 (16 countries) | 97 (48.3%) | 97 (100%) | ‐ | 96 (99.0%) | 96 (99.0%) | ‐ | 15 (16.3%) |
| 2017 (2 countries) | 5 (2.5%) | 5 (100%) | ‐ | 4 (80.0%) | 4 (80.0%) | ‐ | 4 (100%) |
| Treat All not adopted nationally | 26 (12.9%) | ‐ | 26 (100%) | 18 (69.2%) | 0 (0%) | 18 (100%) | 16 (100%) |
aSites with known month and year of Treat All introduction; bsites in countries that adopted Treat All in 2017 after the survey was completed counted among sites where Treat All was not yet adopted nationally.
Timing and length of Treat All implementation at IeDEA sites
| Timing of Treat All implementation (sites with known year of implementation) | Time (in months) from national adoption to site implementation | Length of implementation (in months) among sites in countries where Treat All not yet adopted nationally | ||||
|---|---|---|---|---|---|---|
| N | Median [IQR] | N | Median [IQR] | N | Median [IQR] | |
| All sites | 178 | 2016 [2015 to 2016] | 138 | 1 [−1, 4] | 14 | 7.4 [5.6, 12.7] |
| IeDEA region | ||||||
| Asia‐Pacific | 35 | 2015 [2014 to 2016] | 24 | −2 [−12, 5] | 3 | 3.3 [0.6, 5.6] |
| Caribbean, Central and South America | 13 | 2015 [2013 to 2016] | 16 | 0 [0, 1] | 2 | 10 [3.9, 16.1] |
| Central Africa | 17 | 2016 [2016 to 2016] | 9 | 0 [−1, 16] | 1 | 9.9 [9.9, 9.9] |
| East Africa | 41 | 2016 [2016 to 2017] | 33 | 2 [−1, 7] | 3 | 17.5 [8.7, 19.7] |
| North America | 33 | 2014 [2010 to 2015] | 22 | 11 [−35, 40] | 0 | ‐ |
| Southern Africa | 34 | 2016 [2016 to 2016] | 34 | 2 [1, 2] | 0 | ‐ |
| West Africa | 5 | 2017 [2017 to 2017] | 0 | ‐ | 5 | 6.7 [6.4, 8] |
| Health facility type | ||||||
| Primary (health center) | 92 | 2016 [2016 to 2016] | 79 | 2 [0, 2] | 3 | 6.4 [5.7, 19.7] |
| District hospital | 17 | 2016 [2016 to 2016] | 14 | 2 [−1, 3] | 0 | ‐ |
| Regional/provincial or teaching hospital | 69 | 2015 [2014 to 2016] | 45 | 1 [−9, 12] | 11 | 8 [3.9, 12.7] |
| Sector | ||||||
| Public | 148 | 2016 [2015 to 2016] | 113 | 2 [0, 5] | 13 | 8 [5.6, 12.7] |
| Private | 30 | 2015 [2011 to 2016] | 25 | 0 [−50, 2] | 1 | 6.7 [6.7, 6.7] |
| Facility location | ||||||
| Urban/Mostly urban | 128 | 2016 [2014.5 to 2016] | 91 | 0 [−6, 5] | 13 | 6.7 [5.6, 9.9] |
| Rural/Mostly rural | 50 | 2016 [2016 to 2016] | 47 | 2 [2, 3] | 1 | 19.7 [19.7, 19.7] |
| Country income group | ||||||
| Low income | 54 | 2016 [2016 to 2017] | 49 | 2 [1, 2] | 5 | 12.7 [9.9, 17.5] |
| Lower‐middle income | 42 | 2016 [2016 to 2016] | 31 | 1 [−1, 3] | 5 | 6.4 [5.7, 6.7] |
| Upper‐middle income | 27 | 2016 [2015 to 2016] | 24 | 0 [−3.5, 7] | 1 | 3.9 [3.9, 3.9] |
| High income | 55 | 2015 [2012 to 2015] | 34 | −1 [−21, 27] | 3 | 5.6 [0.6, 16.1] |
| PEPFAR‐supported country | ||||||
| No | 77 | 2015 [2014 to 2016] | 50 | −1 [−13, 21] | 6 | 4.7 [3.3, 12.7] |
| Yes | 101 | 2016 [2016 to 2016] | 88 | 2 [0, 2] | 8 | 8.4 [6.6, 13.7] |
| GFATM‐supported country | ||||||
| No | 66 | 2015 [2013 to 2015] | 44 | −1 [−12.5, 22] | 3 | 5.6 [0.6, 16.1] |
| Yes | 112 | 2016 [2016 to 2016] | 94 | 2 [0, 2] | 11 | 8.0 [5.7, 12.7] |
| Year of national Treat All adoption | ||||||
| 2012 (2 countries) | 33 | 2014 [2010 to 2015] | 22 | 11 [−35, 40] | ‐ | ‐ |
| 2013 (2 countries) | 8 | 2013 [2013 to 2015] | 8 | −0.5 [−9, 18.5] | ‐ | ‐ |
| 2014 (2 countries) | 6 | 2015 [2014 to 2016] | 5 | 12 [0, 12] | ‐ | ‐ |
| 2015 (2 countries) | 16 | 2015 [2014.5 to 2015.5] | 10 | −1 [−7, 5] | ‐ | ‐ |
| 2016 (16 countries) | 95 | 2016 [2016 to 2016] | 89 | 2 [0, 2] | ‐ | ‐ |
| 2017 (2 countries) | 4 | 2013.5 [2011.5 to 2015.5] | 4 | −40.5 [−63, −18] | ‐ | ‐ |
| Timing of national Treat All adoption | ||||||
| Before WHO recommendation | 63 | 2015 [2013 to 2015] | 45 | 0 [−9, 22] | ‐ | ‐ |
| After WHO recommendation | 99 | 2016 [2016 to 2016] | 93 | 2 [0, 2] | ‐ | ‐ |
| Treat All not adopted nationally | 16 | 2016.5 [2016 to 2017] | ‐ | ‐ | 14 | 7.4 [5.6, 12.7] |
aSites with known month and year of Treat All introduction; btiming relative to WHO recommendation of September 2015.
Figure 2Median year of site‐level implementation of Treat All among 201 IeDEA sites.
ART initiation practices and viral load testing capacity at 187 IeDEA sites implementing Treat All
| Counseling sessions prior to ART initiation | Timing of ART initiation | Viral load | |||||
|---|---|---|---|---|---|---|---|
| 0 sessions N (%) | 1 to 2 sessions N (%) | ≥3 sessions N (%) | Same day start N (%) | 1 to 14 days N (%) | 2 to 4 weeks or >1 month N (%) | ||
| All sites | 19 (10.2%) | 123 (65.8%) | 45 (24.1%) | 73 (39%) | 71 (38%) | 43 (23.0%) | 129 (69%) |
| IeDEA region | [ | ||||||
| Asia‐Pacific | 3 (8.3%) | 27 (75%) | 6 (16.7%) | 3 (8.3%) | 19 (52.8%) | 14 (38.9%) | 33 (91.7%) |
| Caribbean, Central and South America | 0 (0%) | 14 (100%) | 0 (0%) | 5 (35.7%) | 4 (28.6%) | 5 (35.7%) | 12 (85.7%) |
| Central Africa | 0 (0%) | 8 (47.1%) | 9 (52.9%) | 4 (23.5%) | 13 (76.5%) | 0 (0%) | 5 (29.4%) |
| East Africa | 0 (0%) | 19 (45.2%) | 23 (54.8%) | 26 (61.9%) | 16 (38.1%) | 0 (0%) | 23 (54.8%) |
| North America | 15 (38.5%) | 22 (56.4%) | 2 (5.1%) | 11 (28.2%) | 10 (25.6%) | 18 (46.2%) | 38 (97.4%) |
| Southern Africa | 1 (2.9%) | 28 (82.4%) | 5 (14.7%) | 21 (61.8%) | 8 (23.5%) | 5 (14.7%) | 15 (44.1%) |
| West Africa | 0 (0%) | 5 (100%) | 0 (0%) | 3 (60%) | 1 (20%) | 1 (20%) | 3 (60.0%) |
| Health facility type | [ | [ | [ | ||||
| Primary (health center) | 12 (12.4%) | 61 (62.9%) | 24 (24.7%) | 39 (40.2%) | 39 (40.2%) | 19 (19.6%) | 55 (56.7%) |
| District hospital | 0 (0%) | 7 (41.2%) | 10 (58.8%) | 12 (70.6%) | 3 (17.6%) | 2 (11.8%) | 11 (64.7%) |
| Regional/provincial or teaching hospital | 7 (9.6%) | 55 (75.3%) | 11 (15.1%) | 22 (30.1%) | 29 (39.7%) | 22 (30.1%) | 63 (86.3%) |
| Sector | [ | [ | [ | ||||
| Public | 10 (6.4%) | 104 (66.7%) | 42 (26.9%) | 66 (42.3%) | 60 (38.5%) | 30 (19.2%) | 104 (66.7%) |
| Private | 9 (29%) | 19 (61.3%) | 3 (9.7%) | 7 (22.6%) | 11 (35.5%) | 13 (41.9%) | 25 (80.6%) |
| Facility location | [ | [ | [ | ||||
| Urban/mostly urban | 18 (13.2%) | 89 (65.4%) | 29 (21.3%) | 40 (29.4%) | 54 (39.7%) | 42 (30.9%) | 110 (80.9%) |
| Rural/mostly rural | 1 (2%) | 34 (66.7%) | 16 (31.4%) | 33 (64.7%) | 17 (33.3%) | 1 (2%) | 19 (37.3%) |
| Country income group | [ | [ | [ | ||||
| Low income | 1 (1.9%) | 39 (72.2%) | 14 (25.9%) | 23 (42.6%) | 28 (51.9%) | 3 (5.6%) | 21 (38.9%) |
| Lower‐middle income | 0 (0%) | 20 (45.5%) | 24 (54.5%) | 31 (70.5%) | 13 (29.5%) | 0 (0%) | 23 (52.3%) |
| Upper‐middle income | 1 (3.6%) | 24 (85.7%) | 3 (10.7%) | 5 (17.9%) | 13 (46.4%) | 10 (35.7%) | 26 (92.9%) |
| High income | 17 (27.9%) | 40 (65.6%) | 4 (6.6%) | 14 (23%) | 17 (27.9%) | 30 (49.2%) | 59 (96.7%) |
| PEPFAR‐supported country | [ | [ | [ | ||||
| No | 18 (21.4%) | 61 (72.6%) | 5 (6%) | 18 (21.4%) | 28 (33.3%) | 38 (45.2%) | 80 (95.2%) |
| Yes | 1 (1%) | 62 (60.2%) | 40 (38.8%) | 55 (53.4%) | 43 (41.8%) | 5 (4.9%) | 49 (47.6%) |
| GFATM‐supported country | [ | [ | [ | ||||
| No | 17 (23.6%) | 51 (70.8%) | 4 (5.6%) | 17 (23.6%) | 21 (29.2%) | 34 (47.2%) | 70 (97.2%) |
| Yes | 2 (1.7%) | 72 (62.6%) | 41 (35.7%) | 56 (48.7%) | 50 (43.5%) | 9 (7.8%) | 59 (51.3%) |
| Year of national Treat All adoption | [ | ||||||
| 2012 (2 countries) | 15 (38.5%) | 22 (56.4%) | 2 (5.1%) | 11 (28.2%) | 10 (25.6%) | 18 (46.2%) | 38 (97.4%) |
| 2013 (2 countries) | 0 (0%) | 8 (100%) | 0 (0%) | 3 (37.5%) | 2 (25.0%) | 3 (37.5%) | 8 (100%) |
| 2014 (2 countries) | 1 (16.7%) | 4 (66.7%) | 1 (16.7%) | 0 (0%) | 4 (66.7%) | 2 (33.3%) | 6 (100%) |
| 2015 (2 countries) | 2 (12.5%) | 14 (87.5%) | 0 (0%) | 1 (6.3%) | 6 (37.5%) | 9 (56.3%) | 15 (93.8%) |
| 2016 (16 countries) | 1 (1.0%) | 57 (59.4%) | 38 (39.6%) | 52 (54.2%) | 38 (39.6%) | 6 (6.3%) | 45 (46.9%) |
| 2017 (2 countries) | 0 (0%) | 3 (75.0%) | 1 (25.0%) | 1 (25.0%) | 2 (50.0%) | 1 (25.0%) | 4 (100%) |
| Treat All not adopted nationally | 0 (0%) | 15 (83.3%) | 3 (16.7%) | 5 (27.8%) | 9 (50.0%) | 4 (22.2%) | 13 (72.2%) |
| Timing of national Treat All adoption | [ | [ | [ | ||||
| Before WHO recommendation | 18 (26.1%) | 48 (69.6%) | 3 (4.3%) | 15 (21.7%) | 22 (31.9%) | 32 (46.4%) | 67 (97.1%) |
| After WHO recommendation | 1 (1%) | 62 (60.2%) | 40 (38.8%) | 53 (53.0%) | 40 (40.0%) | 7 (7.0%) | 49 (49.0%) |
| Treat All not adopted nationally | 0 (0%) | 13 (86.7%) | 2 (13.3%) | 5 (27.8%) | 9 (50.0%) | 4 (22.2%) | 13 (72.2%) |
aQuantitative PCR or viral load assay available for routine use; bsites in countries that adopted Treat All in 2017 after the survey was completed counted among sites where Treat All was not yet adopted nationally; ctiming relative to WHO recommendation of September 2015.