| Literature DB >> 31723478 |
Titilayo Olaoye1, Oyewole O Oyerinde1, Oluwatoyin J Elebuji1, Oluwapelumi Ologun1.
Abstract
BACKGROUND: Morbidity and mortality of women and children associated with pre-eclampsia present major global health problems in low and middle income countries. The prevalence of pre-eclampsia in Nigeria ranges from 2% to 16.7%, with approximately 37,000 women dying from preeclampsia annually. This study examines knowledge, perception and management of preeclampsia among healthcare providers in a major maternity hospital in Lagos, southwest Nigeria.Entities:
Keywords: Eclampsia; Health care providers; Knowledge; Management; Nigeria; Perception; Pre-eclampsia
Year: 2019 PMID: 31723478 PMCID: PMC6804318 DOI: 10.21106/ijma.275
Source DB: PubMed Journal: Int J MCH AIDS ISSN: 2161-864X
Specialty and Categories of Health Care Providers in the Study
| Department/Specialties | Number of Health Providers |
|---|---|
| Nurses (includes Registered Nurses and Midwives) | 75 |
| Consultants (Medicine) | 9 |
| General Practitioners | 26 |
| 110 | |
Socio-Demographic Characteristics of Respondents
| Variables | Frequency (110) | Percent (%) |
|---|---|---|
| Age | Mean age-35.45±7.62 | |
| 20-29 | 26 | 23.6 |
| 30-39 | 49 | 44.5 |
| 40-49 | 30 | 27.3 |
| 50-59 | 5 | 4.5 |
| Male | 32 | 29.1 |
| Female | 78 | 70.9 |
| Nursing officer | 44 | 40 |
| Matron | 13 | 11 |
| Nursing sister | 18 | 16 |
| Consultant | 9 | 8 |
| Medical doctor | 26 | 23 |
| < 5 years | 39 | 35 |
| 5 to 10 years | 39 | 35 |
| 11 to 16 years | 18 | 16 |
| 17+ | 14 | 14 |
Frequency Distribution of Respondent’s Knowledge on Pre-eclampsia
| S/N | Variable | Frequency (n=110) | Percent (%) |
|---|---|---|---|
| Pregnancy specific disorder with High blood pressure and significant proteinuria and swelling of both feet and face. | 86 | 78.2 | |
| Pregnant women | 110 | 100 | |
| 2nd Trimester | 57 | 51.8 | |
| 3rd Trimester | 50 | 45.5 | |
| 82 | 76 | ||
| Blurry vision | 42 | 38.2 | |
| Headache | 95 | 86.4 | |
| Nausea | 62 | 60.9 | |
| Epigastric Pain | 42 | 38.2 | |
| Pregnancy | 42 | 38.2 | |
| Proteinuria | 28 | 25.5 | |
| I Don’t know | 40 | 36.4 | |
| Vitamin C and Vitamin D | 15 | 13.6 | |
| Vitamin C and Vitamin E | 21 | 19.1 | |
| Vitamin C and Folic Acid | 15 | 13.6 | |
| Vitamin D and Vitamin E | 21 | 19.1 | |
| Vitamin D and Folic Acid | 9 | 8.2 | |
| Vitamin E and Vitamin F | 29 | 26.4 | |
| HELLP Syndrome | 48 | 43.6 | |
| Convulsion | 45 | 40.9 | |
| Cardiovascular Problems | 17 | 15.5 | |
| 96 | 87.3 | ||
| Urine Analysis | 101 | 91.8 | |
| Blood Test | 9 | 8.2 | |
Perceptions of Pre-Eclampsia
| Variable | Strongly Agree (%) | Agree (%) | Disagree (%) | SD (%) mean=28.30 |
|---|---|---|---|---|
| Eclampsia is not a serious of severe condition | 4 (3.6) | 2 (1.8) | 29 (26.4) | 75 (68.2) |
| Young women are not susceptible to Pre-eclampsia. | 0 (0) | 5 (4.5) | 57 (51.8) | 48 (43.6) |
| Convulsion during pregnancy is Hereditary | 2 (1.8) | 1 (0.9) | 47 (42.7) | 48 (43.6) |
| Tetanus toxoid vaccine reduces risk of onset of preeclampsia. | 6 (5.5) | 4 (3.6) | 55 (50) | 45 (40.9) |
| Preeclampsia can be prevented. | 32 (29.1) | 61 (55.5) | 11 (10) | 6 (5.5) |
| It is the duty of only the pregnant women to prevent preeclampsia. | 2 (1.8) | 11 (10) | 51 (46.4) | 46 (41.8) |
| Referral of women from PHC should be based on immediate diagnosis of preeclampsia. | 51 (46.4) | 35 (31.8) | 16 (14.5) | 8 (7.3) |
| Expecting mothers should not be educated on the risk factors of preeclampsia. | 8 (7.3) | 11 (10) | 20 (18.2) | 71 (64.5) |
| Up-to-date trainings will improve the knowledge and management practices of health care providers on preeclampsia. | 80 (72.7) | 28 (25.5) | 1 (0.9) | 1 (0.9) |
| It is the primary duty of the health care provider to prevent Preeclampsia. | 25 (22.7) | 60 (54.5) | 21 (19.1) | 4 (3.6) |
| Preeclampsia has no cure | 7 (6.4) | 8 (7.3) | 43 (39.1) | 52 (47.3) |
| Pre-eclampsia cannot be Managed | 7 (6.4) | 3 (2.7) | 37 (33.6) | 63 (57.3) |
Distribution of Management Practices for Pre-Eclampsia
| Variables | Frequency (n=110) | Percentage |
|---|---|---|
| Yes | 96 | 87.3 |
| No | 14 | 12.7 |
| Methyldopa and Nifedine | 30 | 27.3 |
| Methyldopa and Hydralazine | 8 | 7.3 |
| Methyldopa and Diazepam | 4 | 3.6 |
| Nifedine and Hydralazine | 22 | 20 |
| Hydralazine and Diazepam | 3 | 2.7 |
| Methyldopa, Nifedine and Diazepam | 13 | 11.8 |
| Methyldopa, Nifedine and Hydralazine | 30 | 27.3 |
| 4 g Intravenously and 10g Intramuscularly | 84 | 76.4 |
| 4 g Intravenously and 5g Intravenously | 7 | 6.4 |
| 10 g Intramuscularly and 5g Intravenously | 14 | 12.7 |
| 5 g Intravenously and 13g Intravenously | 5 | 4.5 |
| Respiratory Depression and Loss of tendon reflexes | 77 | 70 |
| Respiratory depression and convulsion | 10 | 9.1 |
| Loss of tendon reflexes and bleeding | 11 | 10 |
| Convulsion and Bleeding | 12 | 10.9 |
Relationship between Respondent’s Knowledge and Years of Service
| Source of variation | Sum of Square | df | Mean square | F | P value |
|---|---|---|---|---|---|
| 116.6 | 3 | 38.8 | 3.31 | 0.023 | |
| 1244.8 | 106 | 11.74 | |||
| 1361.4 | 109 | ||||
Association between Respondent’s Level of Knowledge and Years of Service
| Years of Service | Knowledge of Pre-eclampsia | |||||
|---|---|---|---|---|---|---|
| Fair | Good | Excellence | Total | X2 | P value | |
| 13 | 20 | 6 | 39 | 14.82 | 0.022 | |
| 2 | 31 | 6 | 39 | |||
| 2 | 12 | 3 | 17 | |||
| 1 | 13 | 1 | 15 | |||
| 18 | 76 | 16 | 110 | |||