| Literature DB >> 34702209 |
Tanya Robbins1, Charlotte Hanlon2,3,4, Ann H Kelly5, Muchabayiwa Francis Gidiri6, Mickias Musiyiwa7, Sergio A Silverio8, Andrew H Shennan8, Jane Sandall8.
Abstract
BACKGROUND: Pre-eclampsia is a leading cause of preventable maternal and perinatal deaths globally. While health inequities remain stark, removing financial or structural barriers to care does not necessarily improve uptake of life-saving treatment. Building on existing literature elaborating the sociocultural contexts that shape behaviours around pregnancy and childbirth can identify nuanced influences relating to pre-eclampsia care.Entities:
Keywords: Decision-making in pregnancy; Delays in care-seeking; Ethiopia; Haiti; Hypertensive disorders in pregnancy; Pluralism; Pre-eclampsia; Zimbabwe
Mesh:
Year: 2021 PMID: 34702209 PMCID: PMC8547033 DOI: 10.1186/s12884-021-04186-6
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
National level maternal and neonatal context
| Health and Development Indicators | Ethiopia | Haiti | Zimbabwe |
|---|---|---|---|
| Maternal mortality ratio (deaths per 100,000 live births)a | 401 (2017) 1030 (2000) | 480 (2017) 437 (2000) | 458 (2017) 579 (2000) |
| Stillbirth rate (per 1000 total births) (2015) a | 30 | 25 | 21 |
| Antenatal care (4+ visits) a | 43% (2019) | 67% (2017) | 72% (2019) |
| Delivery with skilled birth attendanta | 55% | 37% | 89% |
| Institutional deliverya | 26% (2016) | 39% (2016) | 85% (2019) |
| Eclampsia rates (per 10,000 deliveries) [ | 57.3 | 83.8 | 56.8 |
| Adolescent birth rate (births per 1000 girls 15–19 years) (2019)+ | 66.7 | 51.7 | 86.1 |
| Total fertility rate (births per woman) (2019) a | 4.1 | 2.9 | 3.5 |
| Secondary education completion rate (females) in 2018a | 13% | 16% | 11% |
| Total population (2019) a | 112,079,730 | 11,263,077 | 14,645,468 |
| Urban populationa | 21% | 56% | 32% |
| GDP per capita (USD $) (2019) a | 855 | 1272 | 1464 |
| Percentage GDP spent on health (2018) a | 3.3 | 7.69 | 4.73 |
| Human Development Index rank (2019)b | 173 | 170 | 150 |
aSource: UN MMEIG 2019 (United Nations Maternal Mortality Estimation Inter-agency Group)
https://data.worldbank.org/indicator/SH.STA.MMRT
bSource: United Nations Development Programme, Human Development Reports
http://hdr.undp.org/en/indicators/36806#b
[25]Source: Vousden, N., et al. (2019). “Incidence of eclampsia and related complications across 10 low- and middle-resource geographical regions: Secondary analysis of a cluster randomised controlled trial.” PLoS Med 16 (3): e1002775
Participant characteristics
| Interviews (IDI) | Ethiopia | Haiti | Zimbabwe |
|---|---|---|---|
| Pregnant women | 6 | – | – |
| Women with previous pre-eclampsia | 8 | 3 | 2 |
| Family of deceased women | 4 | – | 2 |
| TBA | 4 | 1 | 1 |
| WDG | 4 | – | – |
| CHW/HEW | 6 | 2 | – |
| Community leaders | 3 | – | – |
| Midwife/nurses | 6 | 2 | 5 |
| Doctors | 3 | 2 | 3 |
| Integrated emergency surgical officers (IESO) | 3 | – | – |
| District health manager | 1 | – | – |
| Religious leaders | – | 1 | 8 |
| Faith healers | – | – | 4 |
| Traditional healers | – | 2 | 3 |
| Pregnant women | – | 2 ( | 2 ( |
| Postnatal women | – | 1 ( | 2 ( |
| Older female decision-makers (mothers/mother-in-law) | – | 1 ( | 2 ( |
| Male decision-makers (partners/husbands/fathers/fathers-in-law) | – | 1 ( | 2 ( |
| TBAs | – | 1 ( | 1 ( |
| CHW | – | – | 1 ( |
| Community leaders | – | 1 ( | – |