| Literature DB >> 27719683 |
Helena Boene1, Marianne Vidler2, Orvalho Augusto1,3, Mohsin Sidat3, Eusébio Macete1,4, Clara Menéndez1,5, Diane Sawchuck6, Rahat Qureshi7, Peter von Dadelszen8, Khátia Munguambe1,3, Esperança Sevene9,10.
Abstract
BACKGROUND: Mozambique has drastically improved an array of health indicators in recent years, including maternal mortality rates which decreased 63 % from 1990-2013 but the rates still high. Pre-eclampsia and eclampsia constitute the third major cause of maternal death in the country. Women in rural areas, with limited access to health facilities are at greatest risk. This study aimed to assess the current state of knowledge and the regular practices regarding pre-eclampsia and eclampsia by community health workers in southern Mozambique.Entities:
Keywords: Community health workers; Eclampsia management; Knowledge; Mozambique; Pre-eclampsia
Mesh:
Year: 2016 PMID: 27719683 PMCID: PMC5056526 DOI: 10.1186/s12978-016-0220-2
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Fig. 1Map of the study area
Study site characteristics
| Province | Regions | Population | Population of women of reproductive age | Number of localities | Number of health facilities | Number of existing CHWs | Number of CHWs interviewed |
|---|---|---|---|---|---|---|---|
| Maputo | Maluana-Maciane | 13,599 | 2,481 | 3 | 2 | 4 | 4 |
| Ilha Josina Machel-Calanga | 5,720 | 935 | 4 | 2 | 8 | 8 | |
| Três de Fevereiro | 25,359 | 4,089 | 3 | 4 | 3 | 3 | |
| Magude | 27,388 | 3,662 | 7 | 7 | 27 | 23 | |
| Gaza | Messano | 9,862 | 1,671 | 3 | 2 | 3 | 3 |
| Macia | 22,349 | 3,248 | 2 | 1 | 4 | 4 | |
| Xilembene | 19,501 | 2,933 | 1 | 1 | 5 | 5 | |
| Chissano | 18,286 | 2,950 | 3 | 3 | 3 | 3 | |
| Mazivila | 14,875 | 2,215 | 3 | 2 | 4 | 4 | |
| Chicumbane | 15,684 | 2,385 | 1 | 3 | 9 | 9 | |
| Chibuto | 192,927 | 55,382 | 19 | 15 | 17 | 9 | |
| Chongoene | 19,501 | 2,933 | 6 | 6 | 6 | 6 | |
| Total | 12 | 385,051 | 84,884 | 55 | 48 | 93 | 81 |
Source: Unpublished data from demographic surveillance, health facility assessment (2014) and INE (2007)
Fig. 2Theme structure
Questionnaire and in-depth interview Participants’ demographic information
| Characteristic | CHWs (%) | Other health professionals (%)a
|
|---|---|---|
| Age | ||
| 20-29 | 14 (17 %) | 1 (12 %) |
| 30-39 | 12 (15 %) | 3 (38 %) |
| 40-49 | 25 (31 %) | 3 (38 %) |
| > 50 | 21 (26 %) | 1 (12 %) |
| Missing | 9 (11 %) | 0(0 %) |
| Gender | ||
| Male | 20 (25 %) | 3 (38 %) |
| Female | 53 (65 %) | 5 (62 %) |
| Missing | 8 (10 %) | 0(0 %) |
| Marital status | ||
| Married | 26 (32 %) | 3 (38 %) |
| Divorced | 3 (4 %) | 0(0 %) |
| Widowed | 5 (6 %) | 0(0 %) |
| Single | 38 (47 %) | 5 (62 %) |
| Missing | 9 (11 %) | |
| Highest level of education attained | ||
| Primary level uncompleted | 39 (48 %) | 0(0 %) |
| Primary level completed | 15 (19 %) | 0(0 %) |
| Secondary level uncompleted | 14 (17 %) | 0(0 %) |
| Secondary level completed | 1 (1 %) | 4 (50 %) |
| Higher degree | 0 (0 %) | 4 (50 %) |
| Missing | 12 (15 %) | |
| Years of experience has CHW | ||
| one year year | 21 (26 %) | NA |
| Two years | 15 (19 %) | NA |
| Three years | 6 (7 %) | NA |
| ˃3 years | 29 (36 %) | NA |
| Missing | 10 (12 %) | NA |
a3 CHW supervisors (Bilene-Macia, Manhiça, Xai-Xai), 3 district medical officers (Bilene-Macia, Manhiça, Xai-Xai), 2 Gynaecologists-Obstetricians (Maputo city)
Focus group participant’s demographic information
| Nr | Group | Region | # of Participants | Age (Median) | Marital status | Occupation | Schooling level |
|---|---|---|---|---|---|---|---|
| 1 | Matrons | Calanga | 9 | 67 | Married (3) | Farmer (9) | Primary (9) |
| 2 | Ilha Josina Machel | 6 | 55 | Married (3) | Farmer (6) | Never studied (5) | |
| 3 | Três de Fevereiro | 12 | 65 | Married (4) | Farmer (12) | Never studied (9) | |
| 4 | Messano | 10 | 43 | Married (5) | Farmer (8) | Never studied (1) | |
| 5 | Chongoene | 9 | 58 | Married (2) | Housewife (9) | Never studied (7) |
Community health workers’ questionnaire results
| Agree | Neither Agree nor Disagree | Disagree | Unknown | |
|---|---|---|---|---|
| Identify pregnant women | 77 (95 %) | 0 (0 %) | 3 (4 %) | 1 (1 %) |
| Monitor regularly pregnant women | 75 (93 %) | 2 (2 %) | 2 (2 %) | 2 (3 %) |
| Know the warning signs in pregnancy | 75 (93 %) | 0 (0 %) | 3 (4 %) | 3 (3 %) |
| Know the warning signs of hypertension during pregnancy | 33 (41 %) | 0 (0 %) | 32 (40 %) | 16 (19 %) |
| Know the warning signs of convulsions in pregnancy | 57 (70 %) | 2 (3 %) | 18 (22 %) | 4 (5 %) |
| Can identify haemorrhage during pregnancy | 56 (69 %) | 0 (0 %) | 18 (22 %) | 7 (9 %) |
| Can identify warning signs during labour | 33 (41 %) | 1 (1 %) | 31 (38 %) | 16 (20 %) |
| Can measure blood pressure | 8 (10 %) | 0 (0 %) | 45 (56 %) | 28 (34 %) |
| Can measure proteinuria | 8 (10 %) | 4 (5 %) | 42 (52 %) | 27 (33 %) |
| Can provide oral medication | 38 (47 %) | 0 (0 %) | 25 (31 %) | 18 (22 %) |
| Can provide oral antihypertensives | 11 (14 %) | 1 (1 %) | 39 (48 %) | 30 (37 %) |
| Can give injections to pregnant women | 4 (5 %) | 2 (2 %) | 47 (58 %) | 28 (35 %) |
| I receive additional training regarding identification and referral of pregnant women with complications | 50 (62 %) | 0 (0 %) | 24 (30 %) | 7 (8 %) |
| I receive regular training to identify complications in pregnancy | 49 (60 %) | 0 (0 %) | 25 (31 %) | 7 (9 %) |
Self-reported ability of CHWs to recognise warning signs in pregnancy, pregnancy related HTA, and convulsions in pregnancy
| Total | Recognise pregnancy warning signsb | Recognise pregnancy hypertension warning signs | Recognise convulsions | ||||
|---|---|---|---|---|---|---|---|
| N (%) | N (%) | OR (95 % CI)a | N (%) | OR (95 % CI)a | N (%) | OR (95 % CI)a | |
| Total | 81 (100.0) | 75 (92.6) | 33 (40.7) | 57 (70.4) | |||
| Sex | |||||||
| Male | 20 (24.7) | 19 (95.0) | 1.00 | 13 (65.0) | 1.00 | 18 (90.0) | 1.00 |
| Female | 53 (65.4) | 50 (94.3) | 0.88 (0.02 - 11.74) | 18 (34.0) | 0.28 (0.08 - 0.92)* | 34 (64.2) | 0.20 (0.02 - 1.00) |
| Missing | 8 (9.9) | 6 (75.0) | 0.17 (0.00 - 3.82) | 2 (25.0) | 0.19 (0.02 - 1.44) | 5 (62.5) | 0.20 (0.01 - 2.24) |
| Age | |||||||
| Median (IQR) | 46.0 (35.5 - 50.0) | - | 1.14 (1.02 - 1.34)* | - | 0.99 (0.95 - 1.03) | - | 0.99 (0.95 - 1.03) |
| Education | |||||||
| Primary | 54 (66.7) | 52 (96.3) | 1.00 | 22 (40.7) | 1.00 | 38 (70.4) | 1.00 |
| Secondary | 15 (18.5) | 14 (93.3) | 0.54 (0.03 - 34.01) | 7 (46.7) | 1.27 (0.34 - 4.68) | 11 (73.3) | 1.16 (0.28 - 5.73) |
| Missing | 12 (14.8) | 9 (75.0) | 0.12 (0.01 - 1.21) | 4 (33.3) | 0.73 (0.14 - 3.15) | 8 (66.7) | 0.84 (0.19 - 4.39) |
| Years working as community health worker | |||||||
| Median (IQR) | 2 (1–8) | - | 1.19 (0.93 - 1.94) | - | 1.04 (0.97 - 1.12) | - | 1.09 (0.99 - 1.24) |
aComputed from exact logistic regression for predict upper 3 levels among the original 5 levels ordinal variable
bRecognised at least one warning sign
*Overall p-value < 0.05