| Literature DB >> 34785958 |
Seifu Kebede Weldegiorgis1, Mulugeta Feyisa1.
Abstract
OBJECTIVE: This study aimed at reviewing identifying reasons for home delivery preference, determining the status of homebirth in Ethiopia, and identifying socio-demographic factors predicting home delivery in Ethiopia.Entities:
Keywords: childbirth; facility birth; homebirth; maternal health
Year: 2021 PMID: 34785958 PMCID: PMC8590518 DOI: 10.2147/IJWH.S326293
Source DB: PubMed Journal: Int J Womens Health ISSN: 1179-1411
Inclusion and Exclusion Criteria for Articles Selected for This Review
| Inclusion | Exclusion | |
|---|---|---|
| Population | • Women who gave birth during the last five years | • Population that exclusively included women who gave birth at facilities |
| Outcome | • Place of birth (home verse facilities) | • Post-natal services |
| Study designs | • Original quantitative studies identifying factors associated with homebirth, and identifying reasons for choosing homebirth: cross-sectional studies, cohorts, | • Qualitative studies (missed the two objectives of this review) |
| Publication status | • Published on peer-reviewed journals | • Published before 2010 |
| Place of studies | • Within Ethiopia | • Other countries |
Review Search Terms
| A | B |
|---|---|
| Home birth related terms | Outcome-related terms |
| Homebirth OR home birth | Factors associated + HB* |
| Home childbirth OR childbirth | Predicting factors +HB* |
| Childbirth at home | Factors significantly associated +HB* |
| Out-of-hospital birth | Reasons of + HB** |
| Out-of-hospital-childbirth | Why women choose + HB** |
| Determinant factors + HB* | |
| Determining factors + HB* |
Notes: HB= Homebirth OR home birth OR Childbirth at home OR out-of-hospital childbirth. *Specific objective 1 of the review: to identify factors associated with women’s preference to HB. **Specific objective 2 of the review: to determine the reasons of why women choose HB.
Figure 1A flowchart diagram showing the selection process of included studies.
Definition of Data Terms
Characteristics of Selected Studies
| First Author | Study Design. | Source of Data | Population—Eligibility Criteria | Outcomes—Relevant to Current Review Question | Quality Rating |
|---|---|---|---|---|---|
| Chernet 2018 | Cross-sectional | EDHS 2016 | 10,622 women who gave birth within the last five years prior data collection | Homebirth, factors affecting homebirth | Average |
| Kebede 2013 | Cross-sectional | Primary data | 475 women who gave birth during the last 12 months | Homebirth, ANC, reasons for home birth, determinants of homebirth | Average |
| Hailu 2014 | Cross-sectional | Primary data | 485 women who gave birth during the last two years prior data collection | Homebirth, women empowerment, reasons for homebirth, determinants of homebirth | Average |
| Ababulgu 2016 | Cross-sectional study | Primary data | 504 mothers | Homebirth, determinants of homebirth, reasons for home birth, delivery attendant | Average |
| Kasaye 2017 | Cross-sectional study | Primary data | 501 women who gave birth during the last 12 months | Women empowerment, ANC, determinants of homebirth, reasons for homebirth, labour attendant | High |
| Yebyo 2015 | Cross-sectional | EDHS 2010–2016 | 7908 women who gave birth over five years-period. | Homebirth, women empowerment, factors affecting homebirth, ANC | High |
| Bayu 2015 | Follow-up study | Primary data | 422 pregnant women | Homebirth proportion, determinants of homebirth, reasons for homebirth | High |
| Mekie 2019 | Cross-sectional study | Primary data | 346 women who gave birth during the last 1 year | Women empowerment, homebirth proportion, reasons for home birth, labour attendants, determinants of homebirth | High |
| Tsegay 2017 | Case Control | Primary data | 285 women who gave birth during the last 12 months | Proportion of homebirth, Factors affecting homebirth | Average |
| Yaya 2018 | Comparative study | EDHS survey | 37,086 women of age 15–49 | Reasons for homebirth, factors associated with homebirth | High |
The Reported Proportion of Homebirth in the Selected Studies
| First Author | Homebirth | |
|---|---|---|
| n/N | % | |
| Yebyo 2015 | 6980/7908 | 88% |
| Kebede 2013 | 402/475 | 85% |
| Kasaye 2017 | 764/909 | 84% |
| Hailu 2014 | 335/485 | 69% |
| Chernet 2018 | 7137/10,622 | 67% |
| Ababulgu 2016 | 312/504 | 62% |
| Mekie 2019 | 195/346 | 56% |
| Bayu 2015 | 156/422 | 38% |
| Tsegay 2017 | 95/285 | 33% |
Demographic Characteristics Associated with Homebirth
| Yebyo (2015) | - Higher Educational level |
| Bayu (2015) | - Age (older women chose home) |
| Hailu (2014) | - Higher Educational level |
| Cherenet (2018) | - Higher Level of education |
| Kasaye (2017) | - Educational level |
| Mekie (2019) | - Previous facility delivery |
| Kebede (2013) | - Previous facility delivery |
| - Parity | |
| - ANC attendance | |
| - Distance from facility | |
| Ababulgu (2016) | - Age |
| Tsegay (2017) | - Women’s access to media |
| Yaya (2018) | - Residence. Rural vs urban residents |
Reasons to Give Birth at Home
| Bayu (2015) | - Home is more comfortable (24%) |
| Hailu (2014) | - Needed family support (47%) |
| Kasaye (2017) | - Labour was simple and fast (76.4%) |
| Mekie (2019) | - No transport (28.1%) |
| Kebede (2013) | - Needed family support (35%) |
| Ababulgu (2016) | - Cannot afford transport: 36% responded to the question and highlighted the affordability issue |
| Yaya (2018) | - Not customary (28.8%) |
Notes: The percentages of the categories might not add up to 100% because participants have had more than one reasons.