| Literature DB >> 25886509 |
Daniel Bogale1, Desalegn Markos2.
Abstract
BACKGROUND: Awareness of the danger signs of obstetric complications is the essential first step in accepting appropriate and timely referral to obstetric and newborn care. Ethiopia is a country where maternal morbidity and mortality is high and little is known about knowledge level of reproductive age women on obstetric danger signs. The aim of the study was to assess knowledge of obstetric danger signs among mothers delivered in the last 12 months in Goba district, Ethiopia.Entities:
Mesh:
Year: 2015 PMID: 25886509 PMCID: PMC4381369 DOI: 10.1186/s12884-015-0508-1
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Socio-demographic characteristics of the respondents in Goba district, Ethiopia, April 2013
|
|
|
|
|---|---|---|
|
| ||
| Urban | 116 | 20.6 |
| Rural | 446 | 79.4 |
|
| ||
| ≤20 | 94 | 16.7 |
| 21-25 | 190 | 33.8 |
| 26-30 | 164 | 29.2 |
| >30 | 114 | 20.3 |
|
| ||
| Muslim | 276 | 49.1 |
| Orthodox | 276 | 49.1 |
| Protestant | 7 | 1.2 |
| Other* | 3 | 0.5 |
|
| ||
| Married/in Union | 531 | 94.5 |
| Single | 14 | 2.1 |
| Widowed | 8 | 1.4 |
| Divorced | 6 | 1.1 |
| Separated | 3 | 0.5 |
|
| ||
| Oromo | 410 | 73 |
| Amhara | 139 | 24.7 |
| Other** | 13 | 2.3 |
|
| ||
| Cannot read and write | 161 | 28.6 |
| Read and write | 16 | 2.8 |
| Primary | 266 | 47.3 |
| Secondary and above | 119 | 21.2 |
|
| ||
| Housewife | 479 | 85.2 |
| Gov’t. employee | 21 | 3.7 |
| Private employee | 14 | 2.5 |
| Merchant | 42 | 7.7 |
| Other*** | 6 | 1.1 |
|
| ||
| ≤100 | 12 | 2.1 |
| 101-300 | 60 | 10.7 |
| ≤301 | 487 | 87.1 |
|
| ||
| Cannot read and write | 83 | 15.3 |
| Read and write | 31 | 5.7 |
| Primary | 271 | 48.2 |
| Secondary and above | 159 | 28.3 |
|
| ||
| Farming | 336 | 61.8 |
| Gov’t. employee | 76 | 14 |
| Private employee | 80 | 14.7 |
| Merchant | 52 | 9.6 |
*include Catholic and Wakefeta, **include Tigrai, Gamo, Welayita, Gurage & ***include daily laborer.
Knowledge of mothers about obstetric danger signs during pregnancy and post partum period in Goba district, Ethiopia, April 2013
|
|
| |||
|---|---|---|---|---|
|
|
| |||
|
|
|
|
| |
| Vaginal bleeding | 191 | 71.3 | 150 | 76.5 |
| Severe headache | 144 | 53.7 | 78 | 39.8 |
| Blurred vision | 37 | 13.8 | 11 | 5.6 |
| High fever | 50 | 18.7 | 56 | 28.6 |
| Loss of consciousness | 50 | 18.7 | 68 | 34.7 |
| Convulsions | 27 | 10.1 | 20 | 10.2 |
| Swollen hands/face | 123 | 45.9 | 56 | 28.6 |
| Difficulty in breathing | 17 | 6.3 | 17 | 8.7 |
| Severe weakness | 119 | 44.4 | 90 | 45.9 |
| Severe abdominal pain | 46 | 17.2 | NA | NA |
| Accelerated/reduced fetal movement | 47 | 17.5 | NA | NA |
| Water breaks without labor | 65 | 24.3 | NA | NA |
| Malodorous vaginal discharge | NA | NA | 46 | 23.5 |
| Other | 7 | 2.6 | 6 | 3.1 |
NA: imply danger sign was not assessed for that period.
Figure 1Obstetric danger signs known by the study participants during delivery in Goba district, Ethiopia, April 2013.
Factors associated with knowledge of key obstetric danger sign during pregnancy, labour and postpartum in Goba district, Ethiopia, April 2013
|
|
|
|
|
|---|---|---|---|
|
| |||
| Urban | 1.32 (0.76, 2.30) |
| 1.6 (0.89,2.94) |
| Rural | 1 | 1 | 1 |
|
| |||
| <20 | 1 | ||
| 20-24 | 0.61 (0.32, 1.17) | ||
| 25-29 | 0.70 (0.38, 1.28) | ** | ** |
| 30-34 | 0.31 (0.16, 0.74) | ||
| > = 35 | 0.90 (0.45, 1.82) | ||
|
| |||
| In marital union | ** | ** | 0.06 (0.01, 12.03) |
| Not in marital union | 1 | ||
|
| |||
| Cannot read and write | 1 | 1 | 1 |
| Read and write | 0.82 (0.22, 3.00) | 1.3 (0.35, 4.87) | 0.6 (0.13, 3.29) |
| Primary | 1.13 (0.65, 1.96) | 1.5 (0.82, 2.76) | 1.2 (0.67, 2.35) |
| Secondary and above | 1.63 (0.78, 3.42) |
| 1.2 (0.55, 2.91) |
|
| |||
| Cannot read and write | 1 | 1 | 1 |
| Read and write |
|
|
|
| Primary | 1.66 (0.80, 3.45) | 1.4 (0.65, 3.22) | 1.0 (0.50, 2.40) |
| Secondary and above |
| 1.6 (0.65, 4.18) | 1.6 (0.66, 4.18) |
|
| |||
| Housewife | 1 | 1 | 1 |
| Gov’t. employee | 1.51 (0.51, 4.45) |
| 2.1 (0.70, 6.38) |
| Private employee | 0.83 (0.21, 3.16) | 0.7 (0.16, 3.10) | 0.6 (0.12, 3.22) |
| Merchant | 0.71 (0.31, 1.59) | 1.7 (0.46, 2.45) | 1.2 (0.52, 2.94) |
| Daily laborer | 0.52 (0.41, 6.61) | 4.0 (0.29, 55. 56) | 0.9 (0.06, 11.84) |
|
| |||
| Farmer | 1 | 1 | 1 |
| Gov’t Employee | 1.24 (0.60, 2.55) | 1.0 (0.50, 2.30) | 1.2 (0.57, 2.78) |
| Merchants | 1.70 (0.90, 3.23) | 1.3 (0.70, 2.73) | 0.9 (0.44, 1.88) |
| Others | 1.42 (0.66, 3.02) | 1.20 (0.54, 2.70) | 0.9 (0.40, 2.19) |
|
| |||
| <15 minutes | 0.62 (0.38, 1.02) | 0.6 (0.37, 1.10) |
|
| 15-30minutes |
|
| 1.4 (0.86, 2.40) |
| >30 minutes | 1 | 1 | 1 |
|
| |||
| Yes |
|
| ** |
| No | 1 | 1 | |
|
| |||
| One | ** | 1 | 1 |
| Two –Four | 0.82 (0.49, 1.36) | 0.7 (0.44, 1.23) | |
| > = Five | 0.87 (0.47, 1.63) |
| |
|
| |||
| Home | 1 | 1 | 1 |
| Health institution | 0.80 (0.50, 1.28) | 0.6 (0.40, 1.11) | 0.9 (0.54, 1.52) |
*Adjusted for all other variables in the table.
**Indicating the p-value of the variable considered in that specific cell was greater than 0.05 which was not a candidate for multiple logistic regression.