| Literature DB >> 26910462 |
Kim J Brolin Ribacke1, Alex J van Duinen2,3, Helena Nordenstedt1, Jonas Höijer4, Ragnhild Molnes5, Torunn Wigum Froseth5, A P Koroma6, Elisabeth Darj5,7, Håkon Angel Bolkan2,3,8, AnnaMia Ekström1,9.
Abstract
BACKGROUND: As Sierra Leone celebrates the end of the Ebola Virus Disease (EVD) outbreak, we can begin to fully grasp its impact on already weak health systems. The EVD outbreak in West Africa forced many hospitals to close down or reduce their activity, either to prevent nosocomial transmission or because of staff shortages. The aim of this study is to assess the potential impact of EVD on nationwide access to obstetric care in Sierra Leone. METHODS ANDEntities:
Mesh:
Year: 2016 PMID: 26910462 PMCID: PMC4766087 DOI: 10.1371/journal.pone.0150080
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Burden of EVD in Sierra Leone
EVD incidence rate per 100 000 inhabitants shown per district and province.
In-hospital deliveries and C-sections in Sierra Leone and association of EVD case load and decrease in in-hospital deliveries and C-sections.
N = 32.
| Period 1 (pre-outbreak) | Period 2 | Period 3 | EVD case load and decrease in obstetric care | ||||
|---|---|---|---|---|---|---|---|
| Deliveries | Mean | Mean (% change) | Mean (% change) | IRR | p-value | 95% CI | |
| 394 | 312 (-21%)* | 283 (-28%)* | |||||
| 55 | 51 (-7%)* | 46 (-16%)* | 0.984 | 0.089 | 0.966 | 1.002 | |
| 117 | 90 (-23%)* | 95 (-19%)* | 0.936 | 0.000 | 0.927 | 0.945 | |
| 62 | 42 (-32%)* | 39 (-37%)* | 0.618 | 0.000 | 0.570 | 0.671 | |
| 159 | 130 (-18%)* | 103 (-35%)* | 0.967 | 0.000 | 0.960 | 0.974 | |
| 112 | 88 (-22%)* | 89 (-20%)* | |||||
| 10 | 8 (-20%)* | 11 (10%) | 0.926 | 0.004 | 0.880 | 0.975 | |
| 37 | 27 (-17%)* | 22 (-41%)* | 0.955 | 0.000 | 0.939 | 0.971 | |
| 26 | 12 (-54%)* | 15 (-42%)* | 0.382 | 0.000 | 0.325 | 0.449 | |
| 39 | 40 (3%) | 42 (8%) | 0.982 | 0.004 | 0.970 | 0.994 | |
Fig 2In-hospital deliveries and C-sections in relation to the simultaneous burden of EVD.
Monthly data on number of in-hospital deliveries (blue), C-sections (red) and new EVD cases (black), shown per province.
Fig 3Monthly number of in-hospital deliveries and C-sections nationwide during the study period.
Also shown is the ratio of C-sections of all in-hospital deliveries with a 95% CI.
Fig 4Seasonal variations of number of C-sections in 2012 (black), 2014 (dark blue) and hypothetical numbers (light blue).
2014 Performance per type of health care sector
| 2014 | Nr of facilities | Deliveries | C-sections | % of all deliveries | % of all C-sections | |
|---|---|---|---|---|---|---|
| 18 | 13545 | 3344 | 76% | 67% | ||
| 13 | 4257 | 1649 | 24% | 33% | ||
| 1 | 40 | 32 | <1% | <1% | ||
| 32 | 17842 | 5025 | 100% | 100% |
*Round off to closest whole number
In-hospital deliveries and C-sections in Sierra Leone
| Period 1 (pre-outbreak) | Period 2 | Period 3 | |
|---|---|---|---|
| Deliveries | Mean | Mean (% change) | Mean (% change) |
| 288 | 244 (-15%) | 183 (-36%) | |
| 105 | 67 (-37%) | 100 (-5%) | |
| 67 | 63 (-5%) | 70 (5%) | |
| 45 | 23 (-49%) | 19 (-58%%) |