| Literature DB >> 30305186 |
Tesfay Hailu1, Kidane Nigus2, Gebreamlak Gidey2, Birhane Hailu2, Yohannes Moges2.
Abstract
OBJECTIVES: Partograph is one of the best effective obstetric tools used to monitoring labor and prevent prolonged or obstructed labor which accounts for about 22% of maternal deaths in Ethiopia. This study was aimed to assess partograph utilization and associated factors among obstetric care givers. Facility based cross sectional study was used in the randomly selected health facilities. Total 220 obstetric care givers were selected using simple random sampling technique. Data were entered and analyzed using SPSS version 22.0. Bivariate and multivariate logistic regression analysis was used to identify the associations of each explanatory variable with the outcome variable. Finally, odds ratio with its 95% confidence interval and p-value of 0.05 was used to identify significant variables. RESULT: Out of 198 obstetric care providers, 73.3% used partograph to monitor progress of labor. Those who were diploma holders (AOR = 3.8, CI = 2.2-6.2), receiving basic emergency obstetrics and new born care training (AOR = 5.6, CI 1.1-28.5), age between 20 and 29 years-old (AOR = 0.1, CI = 0.01-0.50), and male health care providers (AOR = 0.37, CI = 0.44-0.95) were factors significantly associated with partograph utilization. Partograph utilization in this study was below the WHO recommendation. Especial emphasizes and interventions should be given to increase partograph utilization.Entities:
Keywords: Ethiopia; Obstetric care givers; Partograph; Utilization
Mesh:
Year: 2018 PMID: 30305186 PMCID: PMC6180516 DOI: 10.1186/s13104-018-3814-7
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Socio-demographic characteristics of obstetric care givers at public health institutions in central zone, Tigray, Ethiopia/2017
| Variables, N = 198 | Frequency | Percentage |
|---|---|---|
| Sex | ||
| Male | 68 | 34.3 |
| Female | 130 | 65.7 |
| Age | ||
| 20–29 | 83 | 41.9 |
| 30–39 | 52 | 26.3 |
| 40–49 | 53 | 26.8 |
| ≥ 50 | 10 | 5.1 |
| Profession | ||
| Health officer | 26 | 13.1 |
| Nursing | 33 | 16.7 |
| Midwifery | 139 | 70.2 |
| Level of education | ||
| Diploma | 112 | 56.6 |
| Degree | 71 | 35.9 |
| Others | 15 | 7.6 |
| Working experience | ||
| Less than 2 years | 50 | 25.3 |
| 2–5 years | 52 | 26.3 |
| 5 years and above | 96 | 48.5 |
| Current working department | ||
| Delivery room | 148 | 74.7 |
| ANC/PNC/FP | 23 | 11.6 |
| Other | 27 | 13.6 |
| Involved in labor and delivery | ||
| Yes | 192 | 97.0 |
| No | 6 | 3.0 |
| Received training on BEmONC | ||
| Yes | 130 | 65.7 |
| No | 68 | 34.3 |
Practice of partograph among obstetric care givers at public health institutions central zone, Tigray, Ethiopia/2017
| Variable, N = 198 | Frequency | Percent |
|---|---|---|
| Health institution have labor management protocol | ||
| Yes | 183 | 92.4 |
| No | 15 | 7.6 |
| Partograph attached to the chart and properly filled | ||
| Yes | 146 | 73.7 |
| No | 52 | 26.3 |
| Membrane intact/ruptured recorded | ||
| Yes | 139 | 95.2 |
| No | 7 | 4.8 |
| FHB plotted half hourly | ||
| Yes | 144 | 98.6 |
| No | 2 | 1.4 |
| Color of liquor recorded | ||
| Yes | 146 | 100 |
| No | 0 | 0 |
| First dilatation plotted on the alert line | ||
| Yes | 146 | 100 |
| No | 0 | 0 |
| Cervical dilatation plotted 4 h apart | ||
| Yes | 146 | 100 |
| No | 0 | 0 |
| Descent plotted four hourly | ||
| Yes | 142 | 97.3 |
| No | 4 | 2.7 |
| Uterine contraction plotted half hourly | ||
| Yes | 146 | 100 |
| No | 0 | 0 |
| Maternal BP recorded on admission | ||
| Yes | 146 | 100 |
| No | 0 | 0 |
| Maternal pulse monitored every 30 min | ||
| Yes | 145 | 99.3 |
| No | 1 | 0.7 |
| Mother delivered in health center | ||
| Yes | 135 | 92.5 |
| No | 11 | 7.5 |
| According the partograph the women delivered | ||
| On or left of alert line | 104 | 77.0 |
| Between alert and action line | 21 | 15.6 |
| At or beyond action line | 10 | 7.4 |
Factors associated with partograph utilization of obstetric care giver in public Health institution in central zone, Tigray, Ethiopia/2017
| Variables | Utilization of partograph | COR (95%CI) | AOR (95%CI) | |
|---|---|---|---|---|
| Yes | No | |||
| Age | ||||
| 20–29 | 64 (77.1%) | 19 (22.9%) | 0.3 (0.07–1.14)* | 0.10 (0.01–0.50)* |
| 30–39 | 34 (65.4%) | 18 (34.6%) | 0.53 (0.14–2.07) | 0.22 (0.03–1.55) |
| 40–49 | 43 (81.1%) | 10 (18.9%) | 0.23 (0.10–0.69) | 0.10 (0.01–0.41) |
| ≥ 50 | 5 (50%) | 5 (50%) | 1 | 1 |
| Sex | ||||
| Male | 57 (83.8%) | 11 (16.2%) | 0.42 (0.20–0.90)* | 0.37 (0.44–0.95)* |
| Female | 89 (68.5%) | 41 (31.5%) | 1 | 1 |
| Profession | ||||
| Health officer | 17 (65.4%) | 9 (34.6%) | 1.3 (0.52–3.07) | 3.9 (0.61–4.70) |
| Nursing | 31 (93.9%) | 2 (6.1%) | 0.15 (0.04–0.67) | 0.23 (0.30–1.80) |
| Midwifery | 98 (70.5%) | 41 (29.5%) | 1 | |
| Level of education | ||||
| Degree | 86 (76.8%) | 26 (23.2%) | 4.23 (0.53–3.73) | 8.0 (0.45–4.27) |
| Diploma | 46 (64.8%) | 25 (35.2%) | 7.61 (0.95–6.30)* | 3.8 (2.20–6.20)* |
| M.Sc. and above | 14 (93.3%) | 1 (6.7%) | 1 | 1 |
| Working experience | ||||
| Less than 2 years | 44 (88.0%) | 6 (12.0%) | 0.32 (0.12–0.82) | 1.2 (0.30–5.30) |
| 2–5 years | 35 (67.3%) | 17 (32.7%) | 1.12 (0.54–2.32) | 3.2 (0.93–11.14) |
| 5 years and above | 67 (69.8%) | 29 (30.2%) | 1 | |
| Received training on BEmONC | ||||
| Yes | 89 (68.5%) | 41 (31.5%) | 2.4 (1.13–5.02)* | 5.6 (1.10–28.50)* |
| No | 57 (83.8%) | 11 (16.2%) | 1 | 1 |
* p-value < 0.05