| Literature DB >> 25516092 |
Stephany N Duda1, Amanda M Farr2, Mary Lou Lindegren3, Meridith Blevins4, C William Wester5, Kara Wools-Kaloustian6, Didier K Ekouevi7, Matthias Egger8, Jennifer Hemingway-Foday9, David A Cooper10, Richard D Moore11, Catherine C McGowan12, Denis Nash13.
Abstract
INTRODUCTION: HIV care and treatment programmes worldwide are transforming as they push to deliver universal access to essential prevention, care and treatment services to persons living with HIV and their communities. The characteristics and capacity of these HIV programmes affect patient outcomes and quality of care. Despite the importance of ensuring optimal outcomes, few studies have addressed the capacity of HIV programmes to deliver comprehensive care. We sought to describe such capacity in HIV programmes in seven regions worldwide.Entities:
Keywords: HIV care capacity; HIV/AIDS; clinic characteristics; comprehensive care; resource-limited settings
Mesh:
Year: 2014 PMID: 25516092 PMCID: PMC4268491 DOI: 10.7448/IAS.17.1.19045
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Figure 1Geographical distribution of the HIV treatment programmes from the IeDEA network that participated in the site assessment.
Adult HIV care and treatment facility characteristics by region
| North America | Latin America | Asia-Pacific | Central Africa | East Africa | Southern Africa | West Africa | All Regions | |
|---|---|---|---|---|---|---|---|---|
| Patient population, | ||||||||
| Urban | 6 (86%) | 7 (100%) | 17 (85%) | 8 (67%) | 17 (33%) | 14 (88%) | 9 (60%) | 78 (61%) |
| Rural | – | – | – | – | 14 (27%) | 2 (13%) | – | 16 (13%) |
| Mixed | 1 (14%) | – | 3 (15%) | 4 (33%) | 20 (39%) | – | 6 (40%) | 34 (27%) |
| Patients seen in clinic, | ||||||||
| Adults only | 5 (71%) | 3 (43%) | 13 (65%) | 1 (8%) | 2 (4%) | 1 (6%) | 5 (33%) | 30 (23%) |
| Adults and children | 2 (29%) | 4 (57%) | 7 (35%) | 11 (92%) | 49 (96%) | 15 (94%) | 10 (67%) | 98 (77%) |
| Level of facility, | ||||||||
| Missing | – | – | – | – | 2 (4%) | – | – | 2 (2%) |
| Primary | 2 (29%) | 1 (14%) | 1 (5%) | 7 (58%) | 24 (49%) | 9 (56%) | 4 (27%) | 48 (38%) |
| Secondary | – | – | 1 (5%) | 1 (8%) | 18 (37%) | 4 (25%) | 2 (13%) | 26 (21%) |
| Tertiary | 5 (71%) | 6 (86%) | 18 (90%) | 4 (33%) | 7 (14%) | 3 (19%) | 9 (60%) | 52 (41%) |
| Type of facility, | ||||||||
| Missing | – | – | – | 1 (8%) | 2 (4%) | – | – | 3 (2%) |
| Public | 4 (57%) | 6 (86%) | 18 (90%) | 5 (45%) | 44 (90%) | 10 (63%) | 12 (80%) | 99 (79%) |
| Private | 3 (43%) | 1 (14%) | 2 (10%) | 6 (55%) | 5 (10%) | 6 (38%) | 3 (20%) | 26 (21%) |
| Year ART services began, | ||||||||
| <2000 | 7 (100%) | 3 (43%) | 17 (85%) | – | 1 (2%) | 2 (13%) | 4 (27%) | 34 (27%) |
| 2000–2004 | – | 3 (43%) | 2 (10%) | 4 (33%) | 17 (33%) | 11 (69%) | 10 (67%) | 47 (37%) |
| 2005 and later | – | 1 (14%) | 1 (5%) | 7 (58%) | 28 (55%) | 2 (13%) | – | 39 (30%) |
| Number of sites with provider category on staff, | ||||||||
| Physicians | 7 (100%) | 7 (100%) | 20 (100%) | 12 (100%) | 31 (61%) | 15 (94%) | 14 (93%) | 106 (83%) |
| Paediatricians | 2 (29%) | 4 (57%) | 9 (45%) | 2 (17%) | 14 (27%) | 9 (56%) | 7 (47%) | 47 (37%) |
| Mid-level providers | 6 (86%) | 2 (29%) | 8 (40%) | 4 (33%) | 44 (86%) | 5 (31%) | 3 (20%) | 72 (56%) |
| Nurses/midwives | 7 (100%) | 7 (100%) | 19 (95%) | 8 (67%) | 45 (88%) | 16 (100%) | 12 (80%) | 114 (89%) |
| Nursing assistants | 6 (86%) | 4 (57%) | 11 (55%) | 6 (50%) | 10 (20%) | 5 (33%) | 42 (33%) | |
| Lay health workers, adherence counsellors or outreach workers | 7 (100%) | 6 (86%) | 14 (70%) | 10 (83%) | 44 (86%) | 14 (88%) | 13 (87%) | 108 (84%) |
| Pharmacists | 7 (100%) | 5 (71%) | 18 (90%) | 5 (42%) | 12 (24%) | 13 (81%) | 12 (80%) | 72 (56%) |
| Pharmacy assistants | 5 (71%) | 5 (71%) | 8 (40%) | 7 (58%) | 38 (75%) | 13 (81%) | 12 (80%) | 88 (69%) |
| Nutritionists | 6 (86%) | 3 (43%) | 10 (50%) | 5 (42%) | 28 (55%) | 5 (33%) | 57 (45%) | |
| Data capturers | 7 (100%) | 6 (86%) | 17 (85%) | 11 (92%) | 24 (47%) | 13 (81%) | 14 (93%) | 92 (72%) |
Primary facilities are health centres or clinics. Secondary facilities are district or provincial hospitals. Tertiary facilities are teaching or national reference hospitals. Some sites reported more than one facility type. When possible, their responses were disambiguated based on their reported mean number of HIV patients seen daily;
Ppercentages are computed using the number of facilities with a non-missing value;
mid-level providers include clinical officers, nurse practitioners and physician assistants;
Southern Africa did not query its sites about these provider categories.
Adult HIV programme characteristics and laboratory capacity reported by region
| Total | |||||||
|---|---|---|---|---|---|---|---|
|
| |||||||
| North America | Latin America | Asia-Pacific | Central Africa | East Africa | West Africa | Total | |
| Availability of prevention services | |||||||
| HIV counselling and testing | 6 (86%) | 6 (86%) | 20 (100%) | 12 (100%) | 51 (100%) | 14 (93%) | 109 (97%) |
| Counselling regarding disclosure to partners | 7 (100%) | 6 (86%) | 18 (90%) | 10 (83%) | 51 (100%) | 13 (87%) | 105 (94%) |
| Education on sexual behaviour changes/safer sex | 7 (100%) | 5 (71%) | 19 (95%) | 11 (92%) | 48 (94%) | 8 (53%) | 98 (88%) |
| Provision of condoms | 7 (100%) | 6 (86%) | 14 (70%) | 9 (75%) | 47 (92%) | 7 (47%) | 90 (80%) |
| Family planning for PMTCT | 6 (86%) | 5 (71%) | 15 (75%) | 5 (42%) | 47 (92%) | 7 (47%) | 85 (76%) |
| Referral for onsite screening for sexually transmitted infections | 7 (100%) | 5 (71%) | 17 (85%) | 6 (50%) | 45 (88%) | 8 (53%) | 88 (79%) |
| Education on high-risk substance use behaviours and harm reduction practices | 7 (100%) | 3 (43%) | 13 (65%) | 5 (42%) | 32 (63%) | 5 (33%) | 65 (58%) |
| Screening for drug and alcohol abuse and referral to treatment | 7 (100%) | 1 (14%) | 12 (60%) | 3 (25%) | 17 (33%) | 3 (20%) | 43 (38%) |
| Post-exposure prophylaxis (PEP) | 6 (86%) | 4 (57%) | 19 (95%) | 10 (83%) | 42 (82%) | 12 (80%) | 93 (83%) |
| Male circumcision for adults | 2 (29%) | – | 3 (15%) | 2 (17%) | 33 (65%) | 3 (20%) | 43 (38%) |
| Co-trimoxazole prophylaxis | 7 (100%) | 7 (100%) | 20 (100%) | 11 (92%) | 50 (98%) | 14 (93%) | 109 (97%) |
| Other | – | 1 (14%) | – | 1 (8%) | 8 (16%) | 1 (7%) | 11 (10%) |
| None of the above | – | – | – | – | 2 (4%) | 1 (7%) | 3 (3%) |
| Availability of support services | |||||||
| Support groups | 6 (86%) | 7 (100%) | 16 (80%) | 11 (92%) | 46 (90%) | 13 (87%) | 99 (88%) |
| Peer educator programme | 5 (71%) | 5 (71%) | 13 (65%) | 6 (50%) | 38 (75%) | 8 (53%) | 75 (67%) |
| Outreach programme (pre-ART and/or ART) | 5 (71%) | 3 (43%) | 10 (50%) | 10 (83%) | 44 (86%) | 13 (87%) | 85 (76%) |
| Other | 1 (14%) | 1 (14%) | – | 1 (8%) | 2 (4%) | 1 (7%) | 6 (5%) |
| None of the above | – | – | 2 (10%) | – | 1 (2%) | 2 (13%) | 5 (5%) |
| Outreach methods | |||||||
| Phone call | 6 (86%) | 2 (29%) | 18 (90%) | 9 (75%) | 36 (71%) | 12 (80%) | 83 (74%) |
| Letter sent | 5 (71%) | – | 6 (30%) | – | – | – | 11 (10%) |
| Home visit | – | 2 (29%) | 6 (30%) | 11 (92%) | 48 (94%) | 12 (80%) | 79 (71%) |
| Consult pharmacy | – | 3 (43%) | 6 (30%) | 3 (25%) | 15 (29%) | 3 (20%) | 30 (27%) |
| Check hospital records | 1 (14%) | – | 6 (30%) | 4 (33%) | 24 (47%) | 2 (13%) | 37 (33%) |
| None of the above | – | 3 (43%) | 1 (5%) | 1 (8%) | 1 (2%) | 1 (7%) | 7 (6%) |
| Availability of ART adherence support services | |||||||
| Counselling (one-on-one) | 7 (100%) | 7 (100%) | 19 (95%) | 11 (92%) | 50 (98%) | 14 (93%) | 108 (96%) |
| Counselling (group) | 3 (43%) | 3 (43%) | 4 (20%) | 9 (75%) | 45 (88%) | 11 (73%) | 75 (67%) |
| Educational materials | 6 (86%) | 3 (43%) | 15 (75%) | 7 (58%) | 29 (57%) | 4 (27%) | 64 (57%) |
| Reminder tools | 7 (100%) | 4 (57%) | 15 (75%) | 10 (83%) | 45 (88%) | 7 (47%) | 88 (79%) |
| Routine review of medication pick-up | 5 (71%) | 5 (71%) | 9 (45%) | 5 (42%) | 38 (75%) | 9 (60%) | 71 (63%) |
| None of the above | – | – | – | – | 1 (2%) | 1 (7%) | 2 (2%) |
| Availability of nutritional services for adult patients | |||||||
| Nutritional counselling | 6 (86%) | 6 (86%) | 15 (75%) | 9 (75%) | 32 (63%) | 10 (67%) | 78 (70%) |
| Any nutrition support | 6 (86%) | 7 (100%) | 15 (75%) | 11 (92%) | 51 (100%) | 12 (80%) | 102 (91%) |
| Micronutrient supplementation | 4 (57%) | 4 (57%) | 8 (40%) | 6 (50%) | 29 (57%) | 9 (60%) | 60 (54%) |
| Nutritional “treatment” for severely malnourished adults | 4 (57%) | 1 (14%) | 9 (45%) | 4 (33%) | 37 (73%) | 4 (27%) | 59 (53%) |
| Food rations | – | 2 (29%) | – | 5 (42%) | 28 (55%) | 8 (53%) | 43 (38%) |
| None | – | – | 4 (20%) | – | – | 2 (13%) | 6 (5%) |
| Missing | 1 (14%) | – | – | – | – | 1 (7%) | 2 (2%) |
| Availability of PMTCT services | |||||||
| Onsite | 5 (71%) | 6 (86%) | 13 (65%) | 7 (58%) | 46 (90%) | 9 (60%) | 86 (77%) |
| Offsite | – | – | 3 (15%) | 3 (25%) | 4 (8%) | 2 (13%) | 12 (11%) |
| None | – | 1 (14%) | 4 (20%) | 2 (17%) | – | 2 (13%) | 9 (8%) |
| Missing | 2 (29%) | – | – | – | 1 (2%) | 2 (13%) | 5 (4%) |
| Laboratory capacity | |||||||
| CD4+ cell count testing | |||||||
| Onsite | 5 (71%) | 6 (86%) | 17 (85%) | 9 (75%) | 19 (37%) | 10 (67%) | 66 (59%) |
| Offsite | 2 (29%) | 1 (14%) | 3 (15%) | 3 (25%) | 30 (59%) | 3 (20%) | 42 (38%) |
| Not available | – | – | – | – | 1 (2%) | – | 1 (1%) |
| Missing | – | – | – | – | 1 (2%) | 2 (13%) | 3 (3%) |
| CD4 turnaround time | |||||||
| Turnaround days (median, IQR) | 1 (1–2.5) | 7 (2–10) | 2 (1–5.5) | 2 (1.75–4.25) | 7 (1–14) | 8 (3.5–11) | 3 (1–10) |
| Missing ( | – | 2 (29%) | 1 (5%) | 1 (8%) | 9 (18%) | 4 (27%) | 17 (15%) |
| CD4 reagent stock-outs in last 12 months | |||||||
| Yes | – | 1 (14%) | 1 (5%) | 8 (67%) | 14 (27%) | 2 (13%) | 26 (23%) |
| No | 6 (86%) | 5 (71%) | 18 (90%) | 1 (8%) | 29 (57%) | 10 (67%) | 69 (62%) |
| Missing | 1 (14%) | 1 (14%) | 1 (5%) | 3 (25%) | 7 (14%) | 3 (20%) | 16 (14%) |
| HIV RNA PCR testing | |||||||
| Onsite | 5 (71%) | 4 (57%) | 14 (70%) | – | 6 (12%) | 5 (33%) | 34 (30%) |
| Offsite | 2 (29%) | 2 (29%) | 3 (15%) | 7 (58%) | 37 (73%) | 7 (47%) | 58 (52%) |
| Not available | – | – | – | 5 (42%) | 5 (10%) | 1 (7%) | 11 (10%) |
| Missing | – | 1 (14%) | 3 (15%) | – | 3 (6%) | 2 (13%) | 9 (8%) |
The 16 sites from Southern Africa are excluded as their survey did not contain these questions;
educational materials include written and pictorial patient education material and educational videotapes;
reminder tools include appointment slips, calendars, checklists or other reminders, alarm clocks, wrist watches and beepers;
sites reporting no CD4+ measurement capabilities are excluded from the N in these calculations.
Antiretroviral provision and management of tuberculosis and malaria
| Total | ||||||||
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| North America | Latin America | Asia-Pacific | Central Africa | East Africa | Southern Africa | West Africa | All regions | |
| ART provision | ||||||||
| Current waiting list for ART patients ( | ||||||||
| Yes | – | – | 2 (10%) | 6 (50%) | 23 (45%) | 5 (31%) | 7 (47%) | 43 (34%) |
| No | – | 7 (100%) | 18 (90%) | 6 (50%) | 28 (55%) | 11 (69%) | 7 (47%) | 77 (60%) |
| Missing | 7 (100%) | – | – | – | – | – | 1 (7%) | 8 (6%) |
| Duration of ART medication stock-outs in last 12 months | ||||||||
| 1 day only | – | – | 1 (5%) | 1 (8%) | 1 (2%) | – | – | 3 (2%) |
| 2–7 days | – | – | 1 (5%) | 2 (17%) | 1 (2%) | – | 2 (13%) | 6 (5%) |
| 8–21 days | – | 1 (14%) | – | – | 4 (8%) | – | 2 (13%) | 7 (5%) |
| > 21 days | – | 1 (14%) | – | 3 (25%) | 2 (4%) | – | 2 (13%) | 8 (6%) |
| Duration unknown | – | 1 (14%) | – | 1 (8%) | 1 (2%) | – | 3 (20%) | 12 (9%) |
| No stock-outs | – | 4 (57%) | 17 (85%) | 5 (42%) | 41 (80%) | 6 (38%) | 5 (33%) | 82 (64%) |
| Missing | 7 (100%) | – | 1 (5%) | – | 1 (2%) | 10 (63%) | 1 (7%) | 10 (8%) |
| Tuberculosis | ||||||||
| Location of TB treatment services | ||||||||
| Within onsite HIV care and treatment facility | 1 (14%) | 2 (29%) | 11 (55%) | 4 (33%) | 18 (35%) | 14 (88%) | 11 (73%) | 61 (48%) |
| Onsite TB clinic | 1 (14%) | 5 (71%) | 6 (30%) | 2 (17%) | 24 (47%) | – | 1 (7%) | 39 (30%) |
| Offsite TB clinic | 5 (71%) | – | 3 (15%) | 5 (42%) | 5 (10%) | 2 (13%) | 2 (13%) | 22 (17%) |
| Missing | – | – | – | 1 (8%) | 4 (8%) | – | 1 (7%) | 6 (5%) |
| TB screening | ||||||||
| Ask about symptoms as standard part of patient history | 4 (57%) | 6 (86%) | 11 (55%) | 10 (83%) | 39 (76%) | 16 (100%) | 12 (80%) | 98 (77%) |
| Formal questionnaire | 1 (14%) | 1 (14%) | 2 (10%) | 5 (42%) | 30 (59%) | 7 (44%) | 6 (40%) | 52 (41%) |
| Tuberculin skin test | 7 (100%) | 6 (86%) | 6 (30%) | 3 (25%) | 2 (4%) | 7 (44%) | 3 (20%) | 34 (27%) |
| DOTS for adult TB patients | ||||||||
| First 2 months | – | 1 (14%) | 1 (5%) | 4 (33%) | 19 (37%) | 6 (38%) | 6 (40%) | 37 (29%) |
| Entire period | 4 (57%) | 4 (57%) | 9 (45%) | 1 (8%) | 13 (25%) | 6 (38%) | 6 (40%) | 43 (34%) |
| No | 3 (43%) | 2 (29%) | 10 (50%) | 3 (25%) | 12 (24%) | 4 (25%) | 2 (13%) | 36 (28%) |
| Missing | – | – | – | 4 (33%) | 7 (14%) | – | 1 (7%) | 12 (9%) |
| Availability of isoniazid prophylaxis | ||||||||
| For all patients | – | 3 (43%) | 4 (20%) | 1 (8%) | 20 (39%) | 2 (13%) | 2 (13%) | 32 (25%) |
| For some patients | – | 4 (57%) | 11 (55%) | 3 (25%) | 5 (10%) | 13 (81%) | 1 (7%) | 37 (29%) |
| Not available | – | – | 5 (25%) | 7 (58%) | 21 (41%) | 1 (6%) | 12 (80%) | 46 (36%) |
| Missing | 7 (100%) | – | – | 1 (8%) | 5 (10%) | – | – | 13 (10%) |
| Malaria | ||||||||
| Malaria diagnostic methods | ||||||||
| Presumptive diagnosis | – | 1 (14%) | 2 (10%) | 5 (42%) | 35 (69%) | 3 (19%) | 9 (60%) | 55 (43%) |
| Thick smear | – | 5 (71%) | 16 (80%) | 12 (100%) | 45 (88%) | 11 (69%) | 10 (67%) | 99 (77%) |
| Rapid test | – | 1 (14%) | 6 (30%) | 1 (8%) | 13 (25%) | 9 (56%) | 6 (40%) | 36 (28%) |
| Other | – | – | 2 (10%) | – | – | – | 1 (7%) | 3 (2%) |
| Not applicable | – | 2 (29%) | 2 (10%) | – | – | 3 (19%) | – | 7 (5%) |
| Missing | 7 (100%) | – | – | – | – | 1 (6%) | 1 (7%) | 9 (7%) |
| Distribution of free bed nets | ||||||||
| All patients | – | – | 1 (5%) | – | 7 (14%) | – | 2 (13%) | 10 (8%) |
| Targeted distribution | – | – | 1 (5%) | 2 (17%) | 32 (63%) | – | 1 (7%) | 36 (28%) |
| Not distributed/not applicable | – | 7 (100%) | 18 (90%) | 10 (83%) | 11 (22%) | – | 11 (73%) | 57 (45%) |
| Missing | 7 (100%) | – | – | – | 1 (2%) | 16 (100%) | 1 (7%) | 25 (20%) |
TB screening includes screening done on all patients only;
one site reported that it did not distribute free bed nets, while also saying it distributed free bed nets to pregnant women and paediatric patients under age 5. This site was only included under targeted distribution.
Reported distribution of HIV services by IeDEA regiona
| Service by region | ||||
|---|---|---|---|---|
|
| ||||
| Offered | Not offered | Missing | % Offered (of non-missing) | |
| North America ( | ||||
| ART adherence | 6 | 1 | 0 | 86 |
| Nutritional support | 7 | 0 | 0 | 100 |
| PMTCT | 5 | 1 | 1 | 83 |
| CD4 testing | 7 | 0 | 0 | 100 |
| TB screening | 4 | 3 | 0 | 57 |
| Prevention | 6 | 1 | 0 | 86 |
| Outreach | 5 | 2 | 0 | 71 |
| Latin America ( | ||||
| ART adherence | 7 | 0 | 0 | 100 |
| Nutritional support | 4 | 3 | 0 | 57 |
| PMTCT | 6 | 1 | 0 | 86 |
| CD4 testing | 7 | 0 | 0 | 100 |
| TB screening | 6 | 1 | 0 | 86 |
| Prevention | 5 | 2 | 0 | 71 |
| Outreach | 3 | 4 | 0 | 43 |
| Asia-Pacific ( | ||||
| ART adherence | 18 | 2 | 0 | 90 |
| Nutritional support | 15 | 5 | 0 | 75 |
| PMTCT | 17 | 3 | 0 | 85 |
| CD4 testing | 20 | 0 | 0 | 100 |
| TB screening | 11 | 9 | 0 | 55 |
| Prevention | 20 | 0 | 0 | 100 |
| Outreach | 9 | 11 | 0 | 45 |
| Central Africa ( | ||||
| ART adherence | 9 | 3 | 0 | 75 |
| Nutritional support | 8 | 1 | 3 | 89 |
| PMTCT | 10 | 2 | 0 | 83 |
| CD4 testing | 12 | 0 | 0 | 100 |
| TB screening | 10 | 1 | 1 | 91 |
| Prevention | 12 | 0 | 0 | 100 |
| Outreach | 6 | 6 | 0 | 50 |
| East Africa ( | ||||
| ART adherence | 41 | 8 | 2 | 84 |
| Nutritional support | 46 | 5 | 0 | 90 |
| PMTCT | 50 | 1 | 0 | 98 |
| CD4 testing | 49 | 1 | 1 | 98 |
| TB screening | 39 | 6 | 6 | 87 |
| Prevention | 51 | 0 | 0 | 100 |
| Outreach | 44 | 6 | 1 | 88 |
| Vest Africa ( | ||||
| ART adherence | 11 | 2 | 2 | 85 |
| Nutritional support | 10 | 4 | 1 | 71 |
| PMTCT | 12 | 1 | 2 | 92 |
| CD4 testing | 15 | 0 | 2 | 100 |
| TB screening | 12 | 3 | 0 | 80 |
| Prevention | 15 | 0 | 1 | 100 |
| Outreach | 9 | 4 | 2 | 69 |
| All regions ( | ||||
| ART adherence | 92 | 16 | 4 | 85 |
| Nutritional support | 90 | 18 | 4 | 83 |
| PMTCT | 100 | 9 | 3 | 92 |
| CD4 testing | 108 | 1 | 3 | 99 |
| TB screening | 82 | 23 | 7 | 78 |
| Prevention | 108 | 3 | 1 | 97 |
| Outreach | 76 | 33 | 3 | 70 |
IeDEA Southern Africa is not represented in the essential services summary as data were not available for this region.
Facility characteristics by level of clinic comprehensivenessa
| Comprehensiveness (number of services) | ||||
|---|---|---|---|---|
|
| ||||
| Low (3–5) (% of row) | Medium (6) (% of row) | High (7) (% of row) | All tiers | |
| Region, | ||||
| Asia-Pacific | 9 (45%) | 7 (35%) | 4 (20%) | 20 (22%) |
| CCASAnet | 3 (43%) | 2 (29%) | 2 (29%) | 7 (8%) |
| Central Africa | 1 (12%) | 4 (50%) | 3 (38%) | 8 (9%) |
| East Africa | 2 (5%) | 11 (26%) | 29 (69%) | 42 (45%) |
| NA-ACCORD | 2 (33%) | 3 (50%) | 1 (17%) | 6 (6%) |
| West Africa | 3 (30%) | 3 (30%) | 4 (40%) | 10 (11%) |
| Patient population, | ||||
| Urban | 16 (29%) | 16 (29%) | 23 (42%) | 55 (59%) |
| Rural | – | 3 (33%) | 6 (67%) | 9 (10%) |
| Mixed | 4 (14%) | 11 (38%) | 14 (48%) | 29 (31%) |
| Year of ART provision, | ||||
| Missing | 1 (5%) | – | 3 (7%) | 4 (4%) |
| 1985–1989 | 3 (27%) | 5 (45%) | 3 (27%) | 11 (12%) |
| 1990–1994 | 3 (60%) | 2 (40%) | – | 5 (6%) |
| 1995–1999 | 5 (36%) | 4 (29%) | 5 (36%) | 14 (16%) |
| 2000–2004 | 6 (19%) | 10 (31%) | 16 (50%) | 32 (36%) |
| 2005–2009 | 2 (7%) | 9 (33%) | 16 (59%) | 27 (30%) |
| Type of facility, | ||||
| Missing | 1 (5%) | – | 1 (2%) | 2 (2%) |
| Private clinic | 3 (25%) | 5 (42%) | 4 (33%) | 12 (13%) |
| Public or government | 16 (20%) | 25 (32%) | 38 (48%) | 79 (87%) |
| Level of facility, | ||||
| Missing | 1 (5%) | – | 1 (2%) | 2 (2%) |
| Primary | 6 (16%) | 11 (29%) | 21 (55%) | 38 (42%) |
| Secondary | – | 3 (19%) | 13 (81%) | 16 (18%) |
| Tertiary | 13 (35%) | 16 (43%) | 8 (22%) | 37 (41%) |
| Patients seen in clinic, | ||||
| Adult only | 14 (52%) | 9 (33%) | 4 (15%) | 27 (29%) |
| Adults and children | 6 (9%) | 21 (32%) | 39 (59%) | 66 (71%) |
| PEPFAR country (2008), | ||||
| PEPFAR | 3 (6%) | 11 (22%) | 36 (72%) | 50 (54%) |
| No PEPFAR | 17 (40%) | 19 (44%) | 7 (16%) | 43 (46%) |
| HDI income category (2010), | ||||
| UN HDI-low | 6 (10%) | 18 (30%) | 37 (61%) | 61 (66%) |
| UN HDI-middle | 4 (36%) | 4 (36%) | 3 (27%) | 11 (12%) |
| UN HDI-high/very high | 10 (48%) | 8 (38%) | 3 (14%) | 21 (23%) |
| PEPFAR (2008) and HDI (2010), | ||||
| No PEPFAR: UN HDI-high/very high | 10 (48%) | 8 (38%) | 3 (14%) | 21 (23%) |
| No PEPFAR: UN HDI-low | 3 (27%) | 7 (64%) | 1 (9%) | 11 (12%) |
| No PEPFAR: UN HDI-middle | 4 (36%) | 4 (36%) | 3 (27%) | 11 (12%) |
| PEPFAR: UN HDI low | 3 (6%) | 11 (22%) | 36 (72%) | 50 (54%) |
IeDEA Southern Africa is not represented in the comprehensiveness analysis as data were not available for this region;
Percentages are computed using the number of facilities with a non-missing value.