| Literature DB >> 28877674 |
Haymanot Mezmur1, Agumasie Semahegn1, Balewgizie Sileshi Tegegne2,3.
Abstract
BACKGROUND: The partograph is a vital tool for health professionals who need to be able to identify pathological labor. It is used to recognize complications in childbirth on time and to take appropriate actions. We aimed to assess the knowledge and utilization of the partograph and associated factors among health professionals at public health institutions in eastern Ethiopia.Entities:
Keywords: Ethiopia; Health professionals; Knowledge; Partograph; Utilization
Mesh:
Year: 2017 PMID: 28877674 PMCID: PMC5588598 DOI: 10.1186/s12884-017-1477-3
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Fig. 1Schematic presentation of sampling procedure
Criteria for the partograph knowledge score
| Parameters | No | Yes |
|---|---|---|
| Foetal heart rate | 0 | 3 |
| Colour of liquor | 0 | 4 |
| Cervical dilatation | 0 | 3 |
| Descent of the presenting part | 0 | 5 |
| Uterine contraction | 0 | 5 |
| Maternal blood pressure | 0 | 2 |
| Maternal pulse | 0 | 1 |
| Maternal temperature | 0 | 1 |
| Intravenous fluids & drugs | 0 | 1 |
| Moulding | 0 | 5 |
Socio-demographic characteristics of the health professionals in public health institutions in Eastern Ethiopiafrom March 1st to April 30th, 2015 (n = 432)
| Variables | Categories | Frequency | Percent |
|---|---|---|---|
| Age (in years) | 20-25 | 178 | 41.2 |
| 26-30 | 205 | 47.5 | |
| 31-35 | 28 | 6.5 | |
| >35 | 21 | 4.9 | |
| Marital status | Single | 195 | 45.1 |
| Married | 214 | 49.5 | |
| Divorced/widowed | 23 | 5.4 | |
| Sex | Male | 204 | 47.2 |
| Female | 228 | 52.8 | |
| Professional qualification | Diploma Nurse | 113 | 26.2 |
| Diploma Midwife | 165 | 38.2 | |
| B.Sc. Nurse | 54 | 12.5 | |
| B.Sc. Midwife | 64 | 14.8 | |
| Health Officer | 20 | 4.6 | |
| Medical Doctor (GP) | 16 | 3.7 | |
| Type of health facility | Hospital | 176 | 40.0 |
| Health center | 259 | 60.0 | |
| Location of health facility | Urban | 232 | 53.7 |
| Rural | 200 | 46.3 | |
| Year of service | Five years and less | 329 | 76.2 |
| Over five years | 103 | 23.8 | |
| Received in-service training on partograph | Yes | 222 | 51.4 |
| No | 210 | 46.6 |
Health professionals knowledge on assessment of labor using the partograph in public health institutions in Eastern Ethiopia from March 1st to April 30th, 2015 (n = 432)
| Knowledge of assessment of labor with partograph | Frequency | Percent |
|---|---|---|
| Prolonged labor | 257 | 59.5 |
| Obstructed labor | 316 | 73.1 |
| Poor progress of labor | 259 | 60.0 |
| Inefficient uterine contraction | 305 | 70.6 |
| Suspected fetal distress | 231 | 53.5 |
| Abnormal fetal heart rate | 384 | 80.4 |
| Satisfactory progress of labor | 340 | 78.7 |
| Need of augmentation | 257 | 63.7 |
The relationship between independent variables and health professionals level of knowledge about the partograph in public health institutions in Eastern Ethiopiafrom March 1st to April 30th, 2015 (n = 432)
| Variables | Categories | Overall knowledge | COR(95% CI) | AOR(95% CI) | |
|---|---|---|---|---|---|
| Poor (%) | Good (%) | ||||
| Sex | Male | 102(50) | 102(50) | 0.75(0.52, 1.10) | |
| Female | 98(43) | 130(57) | 1.00 | ||
| Type of institution | Health center | 151(58.3) | 108(41.7) | 0.28(0.18,0.43) | 0.31(0.20, 0.48)* |
| Hospital | 49(28.3) | 124(71.4) | 1.00 | 1.00 | |
| Location of health facility | Urban | 90(38.8) | 142(61.2) | 1.93(1.3,2.83) | 1.40(0.94, 2.13) |
| Rural | 110(55%) | 90(45%) | 1.00 | 1.00 | |
| Year of service | 5 year and less | 158(48%) | 171(52) | 0.75(0.48, 1.17) | |
| Over 5 year | 42(40.8) | 61(59.2) | 1.00 | ||
| In-service training | Yes | 78(35.1) | 144(64.9) | 2.56(1.72,3.78) | 2 (1.22, 3.42)* |
| No | 122(58.1) | 88(41.9) | 1.00 | 1.00 | |
| Professional qualification | Diploma Nurse | 96(85) | 17(15) | 0.06(0.02, 0.21) | 0.06(0.02,2.36) |
| Diploma Midwife | 66(40) | 99(60) | 0.50(0.16, 1.62) | 1.30(0.39, 4.50) | |
| B.Sc. Nurse | 30(55.6) | 24(44.4) | 0.40(0.14, 1.70) | 1.54(0.43, 5.60) | |
| B.Sc. Midwives | 2(9.4) | 62(90.6) | 3.20(4.23, 6.98) | 2.80(1.60, 5.60)* | |
| Health officer | 6(30) | 14(70) | 0.78(0.18, 3.42) | 0.18(0.18, 3.42) | |
| Medical Doctor | 9(56.3) | 7(43.7) | 1.00 | 1.00 | |
| Do you like partograph | Yes | 78(33.8%) | 153(66.2%) | 3.02(2.05, 4.49) | 0.47(0.30, 1.76) |
| No | 122(60.7%) | 79(39.3%) | 1.00 | 1.00 | |
*P < 0.05
The relationship between independent variables and the partograph utilization in public health institutions in Eastern Ethiopiafrom March 1st to April 30th, 2015 (n = 432)
| Variables | Categories | Partograph utilization | COR (95% CI | AOR (95% CI) | |
|---|---|---|---|---|---|
| Yes (%) | No (%) | ||||
| Sex | Male | 187(91.7) | 17(8.3) | 1.29(0.63, 2.66) | |
| Female | 213(93.4) | 15(6.6) | 1.00 | ||
| Type of institution | Health center | 232(89.6) | 27(10.4 | 0.26(0.10, 0. 68) | 1.50(0.53, 4.38) |
| Hospital | 168(97.1) | 5(2.4) | 1.00 | 1.00 | |
| In-service training | Yes | 215(96.8) | 7(3.2) | 4.10(1.75, 9.82) | 3.1(1.35, 4.98)* |
| No | 185(88.1) | 25(11.9) | 1.00 | 1.00 | |
| Year of service | Five years and less | 303(92.1) | 26(7.6) | 0.72(0.29, 1.8) | |
| Over five years | 97(94.2) | 6(5.8) | 1.00 | ||
| Do you like partograph | Yes | 229(99.1) | 2 (0.9) | 20.0(4.74, 85.20) | 2.90 (1.30, 6.30)* |
| No | 171(85.1) | 30(14.9) | 1.00 | 1.00 | |
*P < 0.05