| Literature DB >> 31194795 |
Lia I Losonczy1,2, Sean L Barnes3, Shiping Liu4, Sarah R Williams1, Michael T McCurdy1, Vivienne Lemos5, Jerry Chandler6, L Nathalie Colas7, Marc E Augustin7, Alfred Papali1,8,9.
Abstract
OBJECTIVE: Critical illness affects health systems globally, but low- and middle-income countries (LMICs) bear a disproportionate burden. Due to a paucity of data, the capacity to care for critically ill patients in LMICs is largely unknown. Haiti has the lowest health indices in the Western Hemisphere. In this study, we report results of the first known nationwide survey of critical care capacity in Haiti.Entities:
Mesh:
Year: 2019 PMID: 31194795 PMCID: PMC6565360 DOI: 10.1371/journal.pone.0218141
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Schematic map of Haiti indicating locations of surveyed facilities.
Key demographic descriptors for all responding facilities (N = 38).
ED = Emergency department. ICU = Intensive Care Unit. Neonates defined as <28 days old, children as 28 days to 13 years, adolescents as 14–18 years, adults as >18 years.
| Category | N per region (%) | Category | N (%) |
|---|---|---|---|
| Centre | 3 (7.9) | <50 | 11 (28.9) |
| Grand Anse | 2 (5.3) | 51–100 | 11 (28.9) |
| L’Artibonite | 4 (10.5) | 101–200 | 10 (26.3) |
| Nippes | 2 (5.3) | 201–300 | 5 (13.2) |
| Nord | 3 (7.9) | 301–400 | 0 (0.0) |
| Nord-est | 1 (2.6) | >400 | 1 (2.6) |
| Nord-ouest | 1 (2.6) | ||
| Ouest | 18 (47.4) | ||
| Sud | 3 (7.9) | Haitian Creole | 38 (100.0) |
| Sud-est | 1 (2.6) | French | 33 (86.8) |
| English | 12 (31.6) | ||
| Spanish | 7 (18.4) | ||
| Private | 10 (26.3) | Other | 1 (2.6) |
| Not-for-profit | 11 (28.9) | ||
| Public | 14 (36.8) | ||
| Neonates | 28 (73.7) | ||
| Children | 29 (76.3) | ||
| Yes | 36 (94.7) | Adolescents | 30 (78.9) |
| No | 2 (5.1) | Adults | 35 (92.1) |
| Yes | 15 (38.5) | Paper | 28 (73.7) |
| No | 23 (60.5) | Electronic | 12 (31.6) |
* Patient types evaluated at any time across all responding facilities
Key resource descriptors for hospitals reporting an ICU (N = 15).
Values are N (%), unless otherwise stated. WFSICCM = World Federation of Societies of Intensive and Critical Care Medicine. Physician 24h = Physician available for ICU patients 24 hours per day. NIPPV = Non-invasive positive pressure ventilation.
| Category | N (%) | Category | N (%) |
|---|---|---|---|
| Private | 4 (26.7) | Formal | 5 (33.3) |
| Not-for-profit | 5 (33.3) | Informal | 3 (20.0) |
| Public | 6 (40.0) | Basic | 3 (20.0) |
| Other | 4 (26.7) | ||
| Level 1 | 5 (33.3) | ||
| Level 2 | 0 (0.0) | Formal | 4 (26.7) |
| Level 3 | 0 (0.0) | Informal | 3 (20.0) |
| Does not meet level | 10 (66.7) | Basic | 4 (26.7) |
| Other | 4 (26.7) | ||
| Yes | 5 (33.3) | ||
| No | 10 (66.7) | ||
| 2 | 12 (7.0–50.0) | 200 | |
| 2 | 9 (3.5–10.5) | 20 | |
| 0 | 3 (2.0–6.0) | 11 | |
| 0 | 3 (2.0–6.0) | 10 |
Presence of ICU-defining characteristics, according to the WFSICCM criteria, in Haitian hospitals caring for critically ill patients.
IV = Intravenous; ATLS = Advanced trauma life support; RBCs = Red blood cells; BP = Blood pressure.
| Criteria | Overall | Hospitals with ICU | Hospitals without ICU |
|---|---|---|---|
| 5, 13.2% | 5, 33.33% | 0, 0% | |
| 0.40, 0.70, 1.00 | 0.40, 0.90, 1.00 | 0.40, 0.70, 0.80 | |
| -Antibiotics (IV) (37, 97.4%) | -Antibiotics (IV) (14, 93.3%) | -Antibiotics (IV) (23, 100%) | |
| -Nursing ratio ≥ 1:4 (22, 57.9%) | -EKG (12, 80.0%) | -Nursing ratio ≥ 1:4 (8, 34.8%) | |
| 0, 0% | 0, 0% | 0, 0% | |
| 0.00, 0.46, 0.92 | 0.23, 0.62, 0.92 | 0.0000, 0.31, 0.62 | |
| -IV vasoactive drugs (28, 73.7%) | -IV vasoactive drugs (14, 93.3%) | -IV vasoactive drugs (14, 60.9%) | |
| -Arterial catheter (10, 26.3%) | -Arterial catheters (6, 40.0%) | -Mechanical ventilator (1, 4.3%) | |
| 0, 0% | 0, 0% | 0, 0% | |
| 0.08, 0.31, 0.77 | 0.15, 0.54, 0.69 | 0.08, 0.23, 0.54 | |
| -Accepts transfers (25, 65.8%) | -Ultrasound (13, 86.7%) | -Accepts transfers (15, 65.2%) | |
| -Doctor crit care training (7, 18.4%) | -Doctor crit care training (5, 33.3%) | -Doctor crit care training (2, 8.7%) |
Fig 2Availability of critical care equipment amongst all survey respondents (N = 38).