| Literature DB >> 30897096 |
Adeola O Duduyemi1, Ifeoma P Okafor1, Ezekiel S Oridota1.
Abstract
INTRODUCTION: Nigeria has one of the highest maternal mortality ratios in the world. The nurses and midwives being the first point of contact play a central role in addressing these problems. This study was conducted to assess the knowledge and utilization of the technologies (misoprostol, anti-shock garment and magnesium sulphate) in the reduction of maternal mortality amongst the Primary Health Care (PHC) nurses and midwives in Lagos State, Nigeria. In addition, the availability of the technologies in the flagship Primary Health Centres (PHCs) was assessed.Entities:
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Year: 2019 PMID: 30897096 PMCID: PMC6460555 DOI: 10.1371/journal.pone.0213491
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sociodemographic characteristics of respondents.
| Variable (n = 230) | Frequency | Percentage (%) |
|---|---|---|
| Nurse | 19 | 8.3 |
| Midwife | 33 | 14.3 |
| Community health officer/midwife | 20 | 8.7 |
| Nurse/midwife | 158 | 68.7 |
| Male | 14 | 6.1 |
| Female | 216 | 93.9 |
| 20–29 years | 26 | 11.3 |
| 30–39 years | 65 | 28.3 |
| 40–49 years | 71 | 30.9 |
| 50 years and above | 68 | 29.6 |
| Mean = 41.90 ±9.43 years | ||
| 10 years and below | 99 | 44.6 |
| 11–20 years | 44 | 19.8 |
| 21–30 years | 66 | 29.7 |
| 31–40 years | 13 | 5.9 |
| Mean = 16.23± 9.54 |
Knowledge of major causes of maternal mortality in developing countires and the technologies for its reduction.
| Variable(n = 230) | Frequency | Percentage (%) |
|---|---|---|
| Postpartum haemorrhage | 192 | 83.5 |
| Unsafe abortion | 168 | 73.0 |
| Pre-eclampsia and eclampsia | 161 | 70.0 |
| Obstructed labour | 138 | 60.0 |
| Sepsis | 130 | 56.5 |
| Others | 15 | 6.5 |
| Management of PPH | 208 | 90.4 |
| Management of induction of labour | 116 | 50.4 |
| Management of abortion | 55 | 23.9 |
| Correct | 13 | 5.7 |
| Incorrect | 87 | 94.3 |
| Correct | 210 | 91.3 |
| Incorrect | 20 | 9.7 |
| Correct | 182 | 79.1 |
| Incorrect | 48 | 20.9 |
| Correct | 92 | 40.0 |
| Incorrect | 138 | 60.0 |
| Correct | 64 | 27.8 |
| Incorrect | 166 | 72.2 |
* multiple responses
Respondents who were previously exposed to training on the use of misoprostol had significantly better knowledge of the technologies than those who were not trained (p = 0.020). Respondents who have been trained on the used of magnesium sulphate had beeter knowlege of the technologies than those who are not trained (p = 0.001). Previous training on NASG had no statistically significant effect on knowledge (p = 0.842) Table 3
Association between training on the use of the technologies (Misoprostol, MgSO4 and NASG) and knowledge of the technologies for maternal mortality reduction.
| N | Knowledge of the technologies for maternal mortality reduction | χ2 | df | p-value | ||||
|---|---|---|---|---|---|---|---|---|
| Poor Knowledge | Good knowledge | |||||||
| n | % | n | % | |||||
| 5.56 | 1 | 0.020 | ||||||
| Yes | 178 | 125 | 70.2 | 53 | 29.8 | |||
| No | 52 | 45 | 86.5 | 7 | 13.5 | |||
| 13.48 | 1 | 0.001 | ||||||
| Yes | 151 | 100 | 66.2 | 51 | 33.8 | |||
| No | 79 | 70 | 88.6 | 9 | 11.4 | |||
| 0.04 | 1 | 0.842 | ||||||
| Yes | 186 | 138 | 74.2 | 48 | 25.8 | |||
| No | 44 | 32 | 72.7 | 12 | 27.3 | |||
| Total | 230 | 170 | 73.9 | 60 | 26.1 | |||
Association between respondents’ age, qualification and work experience and knowledge of maternal mortality and its major causes.
| N | Knowledge of maternal mortality and its major causes | χ2 | df | p-value | ||||
|---|---|---|---|---|---|---|---|---|
| Poor Knowledge | Good knowledge | |||||||
| n | % | n | % | |||||
| 7.431 | 3 | 0.062 | ||||||
| 20–29 | 26 | 12 | 46.2 | 14 | 53.9 | |||
| 30–39 | 65 | 15 | 23.1 | 50 | 76.9 | |||
| 40–49 | 71 | 14 | 19.7 | 57 | 80.2 | |||
| ≥50 | 68 | 17 | 25.0 | 51 | 75.0 | |||
| 11.549 | 3 | 0.009 | ||||||
| Nurse | 19 | 8 | 42.1 | 11 | 57.9 | |||
| Midwife | 33 | 14 | 42.4 | 19 | 57.6 | |||
| CHO/Midwife | 20 | 6 | 30.0 | 14 | 70.0 | |||
| Nurse/midwife | 158 | 30 | 19.0 | 128 | 81.0 | |||
| 2.70 | 2 | 0.260 | ||||||
| ≤10 | 99 | 27 | 27.3 | 72 | 72.7 | |||
| 11–20 | 52 | 16 | 30.8 | 36 | 69.2 | |||
| 21–40 | 79 | 15 | 19.0 | 64 | 81.0 | |||
| 230 | 58 | 25.2 | 172 | 74.8 | ||||
Utilization of the technologies among respondents.
| Variable (n = 230) | Frequency | Percentage (%) |
|---|---|---|
| Yes | 190 | 82.6 |
| No | 40 | 17.4 |
| Yes | 187 | 81.3 |
| No | 43 | 18.7 |
| Rarely | 64 | 34.2 |
| Sometimes | 88 | 47.1 |
| Often | 25 | 13.4 |
| Always | 10 | 5.3 |
| Yes | 85 | 37.0 |
| No | 145 | 63.0 |
| Rarely | 79 | 92.9 |
| Sometimes | 6 | 7.1 |
| Yes | 120 | 52.2 |
| No | 110 | 47.8 |
| Rarely | 106 | 88.3 |
| Sometimes | 14 | 11.7 |
Factors associated with knowledge of the technologies for maternal mortality reduction and the utilization of the technologies (Misoprostol, MgSO4 and NASG).
| N | Knowledge of the technologies for maternal mortality reduction | χ2 | Df | p-value | ||||
|---|---|---|---|---|---|---|---|---|
| Poor Knowledge | Good knowledge | |||||||
| n | % | n | % | |||||
| 4.04 | 1 | 0.044 | ||||||
| Yes | 187 | 133 | 71.12 | 54 | 28.88 | |||
| No | 43 | 37 | 86.05 | 6 | 13.95 | |||
| 0.003 | 1 | 0.957 | ||||||
| Yes | 85 | 63 | 74.12 | 22 | 25.88 | |||
| No | 145 | 107 | 73.79 | 38 | 26.21 | |||
| 0.04 | 1 | 0.834 | ||||||
| Yes | 120 | 88 | 73.33 | 32 | 26.67 | |||
| No | 110 | 82 | 74.55 | 28 | 25.45 | |||
| 230 | 170 | 73.91 | 60 | 26.09 | ||||
Availability of the technologies at the flagship PHCs in Lagos state.
| Variable (n = 57) | Frequency | Percentage (%) |
|---|---|---|
| Magnesium sulphate available | 27 | 47.4 |
| Misoprotol available | 42 | 73.7 |
| Anti-shock garments available | 52 | 91.2 |
Fig 1Overall knowledge of maternal mortality and its major causes among respondents.
Amongst the nurses and midwives, 58 (25.2%) had poor knowledge of maternal mortality and its major causes and 172 (74.8%) of them had good knowledge (Fig 1).
Fig 2Overall knowledge of the new technologies used in the reduction of maternal mortality among respondents.
Most (170;73.9%) of the nurses and midwives had poor knowledge of new technologies of maternal mortality reduction while 60(26.1%) of them had good knowledge (Fig 2).