| Literature DB >> 23642076 |
Peter Ageyi-Baffour1, Sarah Rominski, Emmanuel Nakua, Mawuli Gyakobo, Jody R Lori.
Abstract
BACKGROUND: Mal-distribution of the health workforce with a strong bias for urban living is a major constraint to expanding midwifery services in Ghana. According to the UN Millennium Development Goals (MDG) report, the high risk of dying in pregnancy or childbirth continues in Africa. Maternal death is currently estimated at 350 per 100,000, partially a reflection of the low rates of professional support during birth. Many women in rural areas of Ghana give birth alone or with a non-skilled attendant. Midwives are key healthcare providers in achieving the MDGs, specifically in reducing maternal mortality by three-quarters and reducing by two-thirds the under 5 child mortality rate by 2015.Entities:
Mesh:
Year: 2013 PMID: 23642076 PMCID: PMC3684532 DOI: 10.1186/1472-6920-13-64
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Figure 1Sample DCE question.
Select demographic data
| Age | 24.5 years |
| Range (18–33 years) | |
| Gender | |
| Female | 238 (100%) |
| Male | 0 (0%) |
| Marital Status | |
| Married | 8 (3.4%) |
| Living with a partner | 4 (1.7%) |
| In a relationship, not living together | 135 (56.7%) |
| Not in a relationship | 89 (37.4%) |
| Rather not say | 2 (0.8%) |
| Number of Children | |
| None | 227 (95.4%) |
| One | 1 (0.4%) |
| Two | 1 (0.4%) |
| Three | 2 (0.8%) |
| Ever lived in a rural area | |
| Yes | 91 (38.2%) |
| No | 146 (61.3%) |
| Don’t know | 1 (0.4%) |
| Birth Location | |
| Urban | 168 (70.6%) |
| Periurban | 42 (17.6%) |
| Rural | 19 (8%) |
| Don’t know | 7 (2.9%) |
| Rather not say | .2 (0.8%) |
DCE results
| Mean | 0.72 | 0.60 | 0.84 | |
| | SD | 0.99 | | |
| Mean | −0.93 | −1.03 | −0.83 | |
| | SD | 0.83 | | |
| Mean | −1.07 | −1.20 | −0.93 | |
| | SD | 1.11 | | |
| Mean | 0.96 | 0.85 | 1.07 | |
| | SD | 0.93 | | |
| Mean | 1.24 | 1.02 | 1.45 | |
| | SD | 1.78 | | |
| Mean | −1.88 | −2.05 | −1.71 | |
| | SD | 1.39 | | |
| Mean | −0.87 | −0.99 | −0.75 | |
| | SD | 1.02 | | |
| Mean | −0.88 | −0.98 | −0.77 | |
| SD | 0.89 |
1 continuous variable; coefficient represents the magnitude of increase in utility for every 10% increase in salary.
2 compared to no allowance for children’s education.
3 compared to improved infrastructure, equipment, and supplies.
4 compared to unsupportive workplace and management.
5 compared to five years minimum work before study leave.
6 compared to basic housing.
7 compared to access to a utility car.