| Literature DB >> 33204719 |
Getu Engida Wake1, Girma Wogie2.
Abstract
INTRODUCTION: Globally, postpartum hemorrhage is the most common cause of maternal mortality and morbidity, and it accounts for more than 25% of all maternal deaths. The majority of death due to postpartum hemorrhage is caused by uterine atony. Routine and correct usage of active management of the third stage of labor decreases the occurrence of postpartum hemorrhage by 60% when compared to expectant management of the third stage of labor. The purpose of this study was to assess midwife knowledge, practice, and associated factors towards active management of the third stage of labor at governmental health institutions in the Tigray region, 2018.Entities:
Mesh:
Year: 2020 PMID: 33204719 PMCID: PMC7655236 DOI: 10.1155/2020/8547040
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Sociodemographic characteristics of midwives in governmental health institutions in the Tigray region, Ethiopia, 2018.
| Variables | Frequency ( | Percentage (%) | |
|---|---|---|---|
| Age | 20-30 | 107 | 38.5 |
| 31-40 | 119 | 42.8 | |
| 41-50 | 45 | 16.2 | |
| Greater than 50 | 7 | 2.5 | |
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| Sex | Female | 215 | 77.3 |
| Male | 63 | 22.7 | |
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| Religion | Orthodox | 277 | 99.6 |
| Muslim | 1 | 0.4 | |
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| Ethnicity | Tigray | 278 | 100 |
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| Marital status | Single | 69 | 24.8 |
| Married | 188 | 67.6 | |
| Divorced | 18 | 6.5 | |
| Widowed | 3 | 1.2 | |
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| Educational level | Diploma midwife | 156 | 56.1 |
| Degree midwife | 122 | 43.9 | |
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| Workplace | Health center | 97 | 34.9 |
| Hospital | 181 | 65.1 | |
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| Years of experience in attending labor | 6 months-4 years | 102 | 36.7 |
| 5 years-9 years | 111 | 39.9 | |
| Greater than 9 years | 65 | 23.4 | |
Training related to AMTSL, availability of reading materials, and availability of uterotonic drugs in governmental health institutions in the Tigray region, Ethiopia, 2018.
| Variables | Frequency ( | Percentage (%) | |
|---|---|---|---|
| Training related to AMTSL | No | 155 | 55.8 |
| Yes | 123 | 44.2 | |
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| Availability of reading material in health institutions | No | 146 | 52.5 |
| Yes | 132 | 47.5 | |
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| Availability of uterotonic drugs | No | 0 | 0 |
| Yes | 278 | 100 | |
Knowledge of midwives towards active management of the third stage of labor in governmental health institutions in the Tigray region, Ethiopia, 2018.
| Variables | Response options | Frequency ( | Percentage (%) |
|---|---|---|---|
| Essential components | (i) Administer uterotonic drugs | 34 | 12.2 |
| (ii) Apply CCT | 6 | 2.2 | |
| (iii) Uterine massage | 8 | 2.9 | |
| (iv) All | 230 | 82.7 | |
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| Role immediately after delivery of the 1st baby | (i) Administer uterotonic drugs | 91 | 32.7 |
| (ii) Check the presence of another baby | 170 | 61.2 | |
| (iii) Uterine massage | 17 | 6.1 | |
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| Recommended dose of oxytocin for active management of third stage of labor | (i) 0.5 mg | 14 | 5 |
| (ii) 10 IU | 246 | 88.5 | |
| (iii) 10 mg | 10 | 3.6 | |
| (iv) 0.5 IU | 8 | 2.9 | |
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| Recommended route of oxytocin for management of AMTSL | (i) IV | 33 | 11.9 |
| (ii) IM | 245 | 88.1 | |
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| Time of administration of oxytocin for active management of third stage of labor | (i) After delivery of anterior shoulder of baby | 6 | 2.2 |
| (ii) Within one minute of delivery | 246 | 88.5 | |
| (iii) Within 3 minutes of delivery | 14 | 5 | |
| (iv) More than 3 minutes | 12 | 4.3 | |
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| How often you perform uterine massage | (i) Every 10 minutes for the 1st 2 hrs | 62 | 22.3 |
| (ii) Every 15 minutes for the 1st 2 hrs | 179 | 64.4 | |
| (iii) Every 30 minutes for the 1st 2 hrs | 31 | 11.2 | |
| (iv) Every 1 hr for the 1st 2 hrs | 6 | 2.2 | |
Figure 1Knowledge of midwives towards three uterotonic agents in governmental health institutions in the Tigray region, Ethiopia, 2018.
Practice level of midwives towards active management of the third stage of labor in governmental health institutions in the Tigray region, Ethiopia, 2018.
| Variables | Response options | Frequency ( | Percentage (%) |
|---|---|---|---|
| Palpate maternal abdomen to rule out presence of another baby | (i) No | 98 | 35.3 |
| (ii) Yes | 180 | 64.7 | |
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| Uterotonic drug given for active management of third stage of labor | Oxytocin | 278 | 100 |
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| Dose of oxytocin given | 10 IU | 278 | 100 |
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| Route of oxytocin administration for active management of third stage of labor | IM | 278 | 100 |
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| Wait for strong uterine contraction for 2-3 minutes to apply CCT | (i) No | 84 | 30.2 |
| (ii) Yes | 194 | 69.8 | |
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| Does not wait for gush of blood to apply CCT | (i) No | 93 | 33.5 |
| (ii) Yes | 185 | 66.5 | |
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| Apply CCT correctly | (i) No | 79 | 28.4 |
| (ii) Yes | 199 | 71.6 | |
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| Support placenta with both hands during its delivery | (i) No | 83 | 29.9 |
| (ii) Yes | 195 | 70.1 | |
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| Extract membrane gently with lateral movement | (i) No | 79 | 28.4 |
| (ii) Yes | 199 | 71.6 | |
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| Immediate uterine massage | (i) No | 72 | 25.9 |
| (ii) Yes | 206 | 74.1 | |
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| Assess maternal genitalia for tear and trauma | (i) No | 71 | 25.5 |
| (ii) Yes | 207 | 74.5 | |
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| Assess completeness of placenta and membrane | (i) No | 91 | 32.7 |
| (ii) Yes | 187 | 67.3 | |
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| Ensure uterus does not relax after stopping uterine massage | (i) No | 68 | 24.5 |
| (ii) Yes | 210 | 75.5 | |
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| Inform the mother to massage the uterus every 15 minutes for the 1st 2 hrs | (i) No | 96 | 34.5 |
| (ii) Yes | 182 | 65.5 | |
Figure 2Practice of midwives towards administration time of oxytocin for management of AMTSL in governmental health institutions in the Tigray region, Ethiopia, 2018.
Multiple and binary logistic regressions on factors associated with knowledge of midwives towards AMTSL in governmental health institutions in the Tigray region, Ethiopia, 2018.
| Variables | Knowledge | Crude OR | Adjusted OR (95% CI) |
| |
|---|---|---|---|---|---|
| Good in knowledge | Poor in knowledge | ||||
| Sex | |||||
| Female | 124 (72.9%) | 91 (84.3%) | 1 | 1 | |
| Male | 46 (27.1%) | 17 (15.7%) | 1.986 | 1.518 (0.730, 3.155) | 0.264 |
| Workplace | |||||
| Health center | 47 (27.6%) | 50 (46.3%) | 1 | 1 | |
| Hospital | 123 (72.4%) | 58 (53.7%) | 2.256 | 1.694 (0.841, 3.414) | 0.140 |
| Educational status | |||||
| Diploma midwives | 79 (46.5%) | 77 (71.3%) | 1 | 1 | |
| Degree midwives | 91 (53.5%) | 31 (28.7%) | 2.861 | 1.393 (0.723, 2.682) | 0.322 |
| Training | |||||
| No | 77 (45.3%) | 78 (72.2%) | 1 | 1 | |
| Yes | 93 (54.7%) | 30 (27.8%) | 3.140 | 2.119 (1.141, 3.3937) | 0.017∗ |
| Years of experience | |||||
| 0-4 | 66 (38.8%) | 36 (33.3%) | 1 | 1 | |
| 5-9 | 69 (40.6%) | 42 (38.9%) | 0.636 | 1.154 (0.540, 2.464) | 0.712 |
| Greater than 9 years | 35 (20.6%) | 30 (27.8%) | 0.942 (0.447, 1.983) | 0.875 | |
| Reading materials | |||||
| No | 83 (48.8%) | 63 (58.3%) | 1 | 1 | |
| Yes | 87 (51.2%) | 45 (41.7%) | 1.467 | 1.003 (0.511, 1.968) | 0.993 |
| Practice level | |||||
| Poor in practice | 64 (37.6%) | 93 (86.1%) | 1 | 1 | |
| Good in practice | 106 (62.4%) | 15 (13.9%) | 10.269 | 8.089 (4.103, 15.950) | ≤0.001∗ |
N.B. 1 = reference category; ∗significance at p value < 0.05 in multivariate regression.
Multiple and binary logistic regressions on factors associated with the practice level of midwives towards active management of the third stage of labor in governmental health institutions in the Tigray region, Ethiopia, 2018.
| Variables | Practice | Crude OR | Adjusted OR (95% CI) |
| |
|---|---|---|---|---|---|
| Good in practice | Poor in practice | ||||
| Sex | |||||
| Female | 88 (72.7%) | 127 (80.9%) | 1 | 1 | |
| Male | 33 (27.3%) | 30 (19.1%) | 1.587 | 1.020 (0.506, 2.058) | 0.956 |
| Workplace | |||||
| Health center | 35 (28.9%) | 62 (39.5%) | 1 | 1 | |
| Hospital | 86 (71.1%) | 95 (60.5%) | 1.604 | 0.689 (0.346, 1.373) | 0.290 |
| Educational level | |||||
| Diploma midwife | 46 (38.0%) | 110 (70.1%) | 1 | 1 | |
| Degree midwife | 75 (62.0%) | 47 (29.9%) | 3.816 | 3.811 (2.015, 7.210) | ≤0.001∗ |
| Marital status | |||||
| Single | 24 (19.8%) | 45 (28.7%) | 1 | 1 | |
| Married | 91 (75.2%) | 97 (61.8%) | 1.759 | 1.772 (0.866, 3.626) | 0.117 |
| Divorced | 4 (3.3%) | 14 (8.9%) | 0.583 (0.129, 2.639) | 0.485 | |
| Widowed | 2 (1.7%) | 1 (0.6%) | 2.545 (0.173, 37.422) | 0.496 | |
| Training | |||||
| No | 50 (41.3%) | 105 (66.9%) | 1 | 1 | |
| Yes | 71 (58.7%) | 52 (33.1%) | 2.867 | 2.591 (1.424, 4.714) | 0.002∗ |
| Knowledge level of midwives | |||||
| Poor in knowledge | 15 (12.4%) | 93 (59.2%) | 1 | 1 | |
| Good in knowledge | 106 (87.6%) | 64 (40.8%) | 10.269 | 7.324 (3.739, 14.393) | ≤0.001∗ |
N.B. 2 = reference category; ∗significance at p value < 0.05 in multivariate regression.