| Literature DB >> 35275941 |
Paschal Mdoe1, Sifaeli Katengu2, Godfrey Guga2, Vickfarajaeli Daudi3, Ibrahim Ernest Kiligo2, Joshua Gidabayda3, Catherine Massay1, Felix Mkini4, Estomih Mduma2.
Abstract
BACKGROUND: Clear evidence exists that perinatal audit and feedback can lead to important improvements in practice. The death audit can lead to the identification of existing potential delays which are the decision to seek medical care, reaching an appropriate facility, and receiving timely adequate care at the facility. Such an audit potentially initiates a positive discussion, which may foster the implementation of changes that aims at saving more lives.Entities:
Mesh:
Year: 2022 PMID: 35275941 PMCID: PMC8916676 DOI: 10.1371/journal.pone.0264904
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of women who encountered perinatal deaths.
| Total | Neonatal death | Stillbirths | |
|---|---|---|---|
| (N = 226) | (N = 140) | (N = 86) | |
|
| |||
| Mean (SD) | 27.2 ± 7.5 | 25.5 ± 6.5 | 28.8 ± 8.1 |
|
| |||
| Never been to school | 20 (8.9%) | 12 (8.6%) | 8 (9.3%) |
| Primary | 109 (48.4%) | 56 (40.3%) | 53 (61.6%) |
| Secondary | 25 (11.1%) | 20 (14.4%) | 5 (5.8%) |
| Higher | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Vocational training | 1 (0.4%) | 0 (0.0%) | 1 (1.2%) |
| others | 1 (0.4%) | 1 (0.7%) | 0 (0.0%) |
| Unknown | 69 (30.7%) | 50 (36.0%) | 19 (22.1%) |
|
| |||
| Married/Living with partner | 166 (73.5%) | 99 (70.7%) | 67 (77.9%) |
| Single | 15 (6.6%) | 10 (7.1%) | 5 (5.8%) |
| Divorced | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| windowed | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Unknown | 45 (19.9%) | 31 (22.1%) | 14 (16.3%) |
|
| |||
| Formally employed | 1 (0.4%) | 1 (0.7%) | 0 (0.0%) |
| Informally employed | 1 (0.4%) | 0 (0.0%) | 1 (1.2%) |
| Self employed | 3 (1.3%) | 3 (2.1%) | 0 (0.0%) |
| Student | 1 (0.4%) | 1 (0.7%) | 0 (0.0%) |
| Unemployed/Housewife | 184 (81.4%) | 99 (70.7%) | 85 (98.8%) |
| Unknown | 36 (15.9%) | 36 (25.7%) | 0 (0.0%) |
|
| |||
| Christian | 189 (83.6%) | 122 (87.1%) | 67 (77.9%) |
| Muslim | 12 (5.3%) | 6 (4.3%) | 6 (7.0%) |
| Pagan | 15 (6.6%) | 7 (5.0%) | 8 (9.3%) |
| Unknown | 10 (4.4%) | 5 (3.6%) | 5 (5.8%) |
Distribution of maternal characteristics by baby conditions.
| Neonatal death | Stillbirths | Total | |
|---|---|---|---|
| (N = 140) | (N = 86) | (N = 226) | |
|
| |||
| Male | 81 (57.8%) | 46 (53.5%) | 127 (56.2%) |
| Female | 59 (42.1%) | 40 (46.5%) | 99 (43.8%) |
|
| |||
| Prime gravida | 47 (33.6%) | 18 (20.9%) | 65 (28.8%) |
| Multipara | 91 (65.0%) | 67 (77.9%) | 158 (69.9%) |
| Unknown | 2 (1.4%) | 1 (1.2%) | 3 (1.3%) |
|
| 1 (0.8%) | 5 (6.3%) | 6 (2.8%) |
|
| 5 (3.8%) | 2 (2.5%) | 7 (3.3%) |
|
| |||
| No visit at all | 3 (2.1%) | 4 (4.7%) | 7 (3.1%) |
| Less than 4 | 65 (46.4%) | 33 (38.4%) | 98 (43.4%) |
| 4 and above | 51 (36.4%) | 33 (38.4%) | 84 (37.1%) |
| Unknown | 21 (15%) | 16 (18.6%) | 37 (16.4%) |
|
| |||
| Iron | 86 (61.4%) | 20 (23.3%) | 106 (46.9%) |
| Folic acid | 88 (62.9%) | 20 (23.3%) | 108 (47.8%) |
| Mebendazole | 60 (42.9%) | 7 (8.1%) | 67 (29.6%) |
|
| |||
| Singleton | 121 (86.4%) | 84 (97.7%) | 205 (90.7%) |
| Twins | 16 (11.4%) | 2 (2.3%) | 18 (8.0%) |
| Triplets | 3 (2.1%) | 0 (0.0%) | 3 (1.3%) |
|
| |||
| > = 37 weeks | 71 (50.7%) | 39 (45.3%) | 110 (48.7%) |
| Below 37 weeks | 57 (40.7%) | 35 (40.7%) | 92 (40.7%) |
| Unknown | 12 (8.6%) | 12 (14%) | 24 (10.6%) |
|
| |||
| Spontaneous | 130 (92.9%) | 69 (80.2%) | 199 (88.1%) |
| Induced | 2 (1.4%) | 15 (17.4%) | 17 (7.5%) |
| Elective C/S | 4 (2.9%) | 1 (1.2%) | 5 (2.2%) |
| Unknown | 4 (2.9%) | 1 (1.2%) | 5 (2.2%) |
|
| |||
| SVD | 97 (69.3) | 62 (72.1) | 159 (70.4) |
| Breech | 2 (1.4) | 1 (1.2) | 3 (1.3) |
| Other | 0 (0.0) | 1 (1.2) | 1 (0.4) |
| C/S | 41 (29.3) | 22 (25.6) | 63 (27.9) |
| Unknown | 0 (0.0) | 0 (0.0) | 0 (0.0) |
|
| 62 (72.1) | 159 (70.4) | |
| Elective | 5 (12.2) | 1 (1.2) | 3 (1.3) |
| Emergency | 36 (87.8) | 1 (1.2) | 1 (0.4) |
|
| 42 (30.0%) | 36 (41.9%) | 78 (34.5%) |
|
| 42 (100%) | 36 (100%) | 78 (100%) |
|
| |||
| Normal | 47 (33.6%) | 39 (45.3%) | 86 (38.1%) |
| Mild anaemia | 12 (8.6%) | 16 (18.6%) | 28 (12.4%) |
| Moderate anaemia | 9 (6.4%) | 10 (11.6%) | 19 (8.4%) |
| Severe anaemia | 1 (0.7%) | 7 (8.1%) | 8 (3.5%) |
| Unknown | 71 (50.7%) | 14 (16.3%) | 85 (37.6%) |
|
| 8 (12.9%) | 5 (7.7%) | 13 (10.2%) |
|
| |||
| Extremely VLBWT | 4 (2.9%) | 1 (1.2%) | 5 (2.2%) |
| Large for GA | 7 (5.0%) | 2 (2.3%) | 9 (4.0%) |
| Low BWT | 36 (25.7%) | 11 (12.8%) | 47 (20.8%) |
| Normal BWT | 57 (40.7%) | 54 (62.8%) | 111 (49.1%) |
| Very LBWT | 14 (10.0%) | 2 (2.3%) | 16 (7.1%) |
| Missing | 22 (15.7%) | 16 (18.6%) | 38 (16.8%) |
Characteristics of stillbirths.
| Conditions | Total stillbirths |
|---|---|
| (N = 86) | |
|
| |
| Yes | 14 (16.3%) |
| Unknown | 21 (24.4%) |
|
| |
| before onset of labor | 48 (55.8%) |
| during labor | 30 (34.9%) |
| Unknown | 8 (9.3%) |
|
| |
| Fresh stillbirths | 30 (34.9%) |
| Macerated stillbirths | 49 (57.0%) |
| Unknown | 7 (8.1%) |
|
| |
| Congenital | 6 (7.0%) |
| Antepartum complications | 6 (7.0%) |
| Intrapartum complications | 22 (25.6%) |
| Complications of prematurity | 1 (1.2%) |
| Nuchal cord (cord around the neck) | 4 (4.7%) |
| Anemia in pregnancy | 2 (2.3%) |
| Infections | 2 (2.3%) |
| Others | 1 (1.3%) |
| Unknown/unspecified | 43 (50.0%) |
|
| |
| Severe post-partum hemorrhage | 1 (3.8%) |
| Severe pre-eclampsia | 10 (38.5%) |
| Eclampsia | 5 (19.2%) |
| Uterine Rupture | 4 (15.4%) |
| PPH | 2 (7.6%) |
| Severe anemia in pregnancy | 3 (11.4%) |
| Other | 1 (3.8%) |
|
| |
| Maternal complications of pregnancy | 11 (12.9%) |
| Complications of placenta, cord, and membranes | 13 (15.1%) |
| Other complications of labor and delivery | 7 (8.1%) |
| Maternal medical and surgical conditions | 4 (4.7%) |
| No maternal condition | 32 (37.2%) |
| Unknown | 20 (23.3%) |
Characteristics of early neonatal death.
| Early neonatal death | |
|---|---|
| (N = 140) | |
|
| |
| HLH | 77 (55.0%) |
| Another health facility | 39 (27.9%) |
| Home | 19 (13.6%) |
| On the way to HF | 4 (2.9%) |
| Unknown | 1 (0.7%) |
|
| |
| Low score | 58 (41.4%) |
| Prematurity | 51 (36.4%) |
| Meconium aspiration | 43 (30.7%) |
| Congenital malformation | 15 (10.7%) |
| EONS | 14 (10.1%) |
| Others | 6 (4.3%) |
| 50 (50.5%) | |
| 40 (40.8%) | |
|
| |
| Yes | 59 (42.1%) |
| No | 41 (29.3%) |
| Unknown | 40 (28.6%) |
Identified contributing factor.
| N = 226 | |
|---|---|
|
| |
| Home delivery | 20 (8.8%) |
| Inadequate (few) and Late booking of ANC visits during pregnancy | 60 (26.5%) |
| Late arrival at the health facility for delivery | 17 (7.5%) |
| No ANC visits during pregnancy | 5 (2.2%) |
| Others (Not using ART/use of herbal medicine to induce labour) | 2 (0.8%) |
|
| |
| Inadequate documentations | 141 (62.4%) |
| Inadequate monitoring during labor | 26 (11.5%) |
| Delayed action (Intervention or consultation) | 24 (10.6%) |
| Inappropriate action/decision taken | 10 (4.4%) |