| Literature DB >> 35692945 |
Melaku Hunie Asratie1, Daniel Gashaneh Belay2,3.
Abstract
Background: Improving the coverage of completion of the maternity continuum of care is the priority area of sub-Saharan African countries to achieve the sustainable development goal. Despite this, information is scant about the pooled prevalence of completion of the maternity continuum of care and its determinants in sub-Saharan African countries. Therefore, this study aimed to assess the pooled prevalence of completion of the maternity continuum of care and its determinants among women in sub-Saharan African countries.Entities:
Keywords: Africa; DHS; completion; maternity continuum of care; multilevel
Year: 2022 PMID: 35692945 PMCID: PMC9174640 DOI: 10.3389/fgwh.2022.869552
Source DB: PubMed Journal: Front Glob Womens Health ISSN: 2673-5059
The detailed variables code and recode of 33 sub-Sahara African countries Demographic and Health Survey (DHS).
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| Residence | The variable place of residence was recorded as “rural” and “urban” in the dataset and used without change for this study. |
| Marital status | Never in union, currently in union/living with a man, and formerly in union/living without a man in the data set and we have used by recoding 1=single, 2= married. |
| Women's level of education | The variable women's education level was recorded as no education, primary, secondary, and higher in the dataset and we used by recoding no education=1, primary-secondary=2, and higher=3. |
| Wealth status | It was coded as “poorest”, “poorer”, “Middle”, “Richer”, and “Richest” in the DHS data set. For this study we recoded it in to three categories as “poor” (includes the poorest and the poorer categories), “middle”, and “rich” (includes the richer and the richest categories). |
| Parity | In the dataset this variable was continuous data. We re-coded in to three categories with a value of “1” for 1, “2” for 2, 3 and4, and “3” for ≥5. |
| ANC visit | In the data set no ANC, 1, 2, 3…20. We have recoded in to No = no ANC and Yes = else. |
| Place of delivery | In the data set other home, Government hospitals, Government health centers', Government health post, Other clinics, Private hospital/clinic, Other private medical clinic, and Others. We have used by recoding as “home” and “health facility”. |
| Post-natal care | In the data set Yes/No. We have recoded in to 1 = Yes and 2 = No. |
| Completion of maternity continuum of care | Yes/No. Generated from ANC visit Yes +health facility delivery +post-natal care Yes. |
Socio-demographic characteristics of the participants in sub-Sahara Africa.
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| Age of women's | 15–24 | 20,406 | 6.05 |
| 25–34 | 238,518 | 70.71 | |
| 35–49 | 78,373 | 23.24 | |
| Marital status | Single | 22,032 | 6.53 |
| Married | 315,265 | 93.47 | |
| Women's level of education | No education | 125,109 | 37.09 |
| Primary –secondary | 201,244 | 59.66 | |
| College and above | 10,944 | 3.20 | |
| Residency | Rural | 231,776 | 68.72 |
| Urban | 105,521 | 31.28 | |
| Wealth status | Poor | 159,112 | 47.17 |
| Middle | 66,051 | 19.58 | |
| Rich | 112,134 | 33.25 | |
| Media exposure | No | 122,738 | 36.39 |
| Yes | 214,559 | 63.61 | |
| Region | East Africa | 116,725 | 34.61 |
| Central Africa | 48,412 | 14.35 | |
| West Africa | 129,410 | 38.37 | |
| South Africa | 42,750 | 12.67 |
Maternal health care services related factors of women in sub-Saharan African.
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| Distance to the nearby | No a big problem | 210,950 | 62.54 |
| health facility | A big problem | 126,347 | 37.46 |
| Covered by health | No | 284,099 | 84.23 |
| insurance | Yes | 53,198 | 15.77 |
| Decision maker to | Others | 191,118 | 56.66 |
| attend maternity | Jointly with husband | 105,099 | 31.16 |
| continuum of care | Independently by women | 41,080 | 12.18 |
| Traditional medication | No | 211,502 | 62.70 |
| use during pregnancy | Yes | 125,795 | 37.30 |
| Gestational age for | Within second trimester | 84,469 | 25.04 |
| ANC start first | Above second trimester | 252,828 | 74.96 |
| Content of antenatal | Not complete | 70,280 | 20.84 |
| care | Complete | 267,017 | 79.16 |
| Site for ANC | Government health facility | 169,797 | 50.34 |
| Non-government | 167,500 | 49.66 | |
| Health care provider | Not | 51539 | 15.28 |
| support during ANC | Yes | 285,758 | 84.72 |
Obstetrical related factors of women in sub-Saharan African countries DHS 2010–2020.
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| Number of under 5 | No | 2,503 | 0.74 |
| children | 1–4 | 239,337 | 70.96 |
| 5& above | 95,457 | 28.30 | |
| History of terminated | No | 274,076 | 81.26 |
| pregnancy | Yes | 63,221 | 18.74 |
| Wanted pregnancy | Yes | 306,423 | 90.85 |
| No | 30,874 | 9.15 | |
| Parity | Primiparous | 621 | 0.18 |
| Multiparous | 1,889 | 0.56 | |
| Grand multipara | 334,787 | 99.26 | |
| Sex preference | Male | 214,758 | 63.67 |
| Female | 122,539 | 36.33 | |
| Desire for more children | Yes | 214,758 | 63.67 |
| Undecided | 20,025 | 5.94 | |
| No more children | 102,514 | 30.39 | |
| Birthorder1 | Yes | 74,507 | 22.09 |
| No | 262,790 | 77.91 | |
| Told about pregnancy | Yes | 301,491 | 89.38 |
| complication | No | 35,806 | 10.62 |
Sub-Saharan Africa countries with recent DHS report from 2010/11 to 2019/20.
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| East Africa countries | Burundi | 2016/17 |
| Comoros | 2012 | |
| Ethiopia | 2016 | |
| Kenya | 2014 | |
| Malawi | 2015/16 | |
| Mozambique | 2015 | |
| Rwanda | 2019/2020 | |
| Tanzania | 2015/16 | |
| Uganda | 2016 | |
| Zambia | 2018 | |
| Zimbabwe | 2015 | |
| Angola | 2015/16 | |
| Cameroon | 2018 | |
| Central Africa countries | Chad | 2014/15 |
| DR Congo | 2013/14 | |
| Congo | 2011/12 | |
| Gabon | 2012 | |
| Benin | 2017/18 | |
| Burkina Faso | 2011 | |
| Ivory Coast | 2011/12 | |
| Gambia | 2019/20 | |
| Ghana | 2014 | |
| West Africa countries | Guinea | 2018 |
| Liberia | 2019/20 | |
| Mali | 2018 | |
| Niger | 2012 | |
| Nigeria | 2018 | |
| Senegal | 2019 | |
| Sierra Leone | 2019 | |
| Togo | 2013/14 | |
| Southern Africa countries | Lesotho | 2014 |
| Namibia | 2013 | |
| South Africa | 2016 |
Figure 1The pooled prevalence of completion of maternity the continuum of care in 33 sub-Sahara African countries from 2010 to 2020 Demographic and Health Survey (DHS) report. 1, the pooled prevalence of completion of maternity continuum of care. 2, prevalence of not complete maternity continuum of care.
Figure 2The prevalence of completion of the maternity continuum of care among 4 sub-Sahara African regions from 2010 to 2020 DHS report.
Multilevel logistic regression analysis for the assessment of predictors of completion of the maternity continuum of care in sub-Sahara Africa, DHS 2010–2020 data.
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| Age of women's | 15 to 24 | 1 | 1 | ||
| 25 to 28 | 0.79 (0.66, 0.95) | 1.80 (0.67, 1.96) | |||
| 29 to 32 | 0.77 (0.62, 0.96) | 2.79 (0.63, 2.98) | |||
| 33 to 49 | 0.66 (0.52, 0.83) | 1.67 (0.83, 1.85) | |||
| Number of under 5 age | 5 | 1 | 1 | ||
| Children alive | <5 | 1.51 (1.38, 1.69) | 1.02 (0.88, 1.69) | ||
| Marital Status | No married | 1 | 1 | ||
| Married | 1.33 (1.03, 1.48) | 1.84 (0.93, 2.49) | |||
| Media exposure | No | 1 | 1 | ||
| Yes | 1.15 (0.99, 1.34) | 1.15 (0.99, 1.34) | |||
| Women's level of | No education | 1 | 1 | ||
| educational | Primary | 1.13 (1.04, 1.52) | 1.01 (0.89, 1.38) | ||
| Secondary | 1.64 (1.34, 2.36) | 1.87 (0.78, 2.26) | |||
| Higher | 2.50 (1.79, 3.47) |
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| Parity | 1 to 2 | 1 | 1 | ||
| 3 to 4 | 1.44 (1.21, 1.72) | 1.21 (0.91, 1.73) | |||
| 5 | 1.63 (1.31, 2.03) | 1.41 (0.89, 2.00) | |||
| Pregnancy was wanted | No | 1 |
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| Yes | 1.34 (1.12, 1.86) |
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| History of terminated | No | 1 | 1 | ||
| pregnancy | Yes | 2.12 (1.68, 2.86) |
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| Wealth status | Poor | 1 | 1 | ||
| Middle | 0.91 (0.77, 1.07) | 0.94 (0.80, 1.11) | |||
| Rich | 1.07 (0.91, 1.25) | 1.15 (0.97, 1.37) | |||
| Distance to the nearby | Not a big problem | 1 | 1 | ||
| health facility | A big problem | 2.42 (1.98, 3.26) |
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| Content of antenatal care | Not full content | 1 | 1 | ||
| Full content | 1.23 (1.02, 2.31) | 1.03 (0.78, 1.54) | |||
| Decision maker to attend | Other than women | 1 | 1 | ||
| maternal health | Jointly | 1.45 (1.24, 2.01) | 1.02 (0.86, 1.65) | ||
| Independently by women | 2.34 (1.86, 2.89) |
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| Health insurance | No | 1 | 1 | ||
| Yes | 0.75 (0.54, 1.05) | 0.82 (0.58, 1.16) | |||
| Use of medication during | Yes | 1 | 1 | ||
| pregnancy | No | 1.24 (1.01, 2.56) |
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| Antenatal care start | Above second trimester | 1 | 1 | ||
| Within second trimester | 2.54 (1.67, 3.12) |
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| Site of antenatal care | Governmental health facility | 1 | 1 | ||
| Non-governmental Health facility | 1.29 (0.78, 1.89) | 1.02 (0.82, 2.02) | |||
| Told pregnancy | No | 1 | 1 | ||
| complication | Yes | 3.41 (2.71, 4.02) |
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| Health care provider | No | 1 | 1 | ||
| Support | Yes | 2.22 (1.88, 3.11) |
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| Residence | Rural | 1 | 1 | ||
| Urban | 0.45 (0.34, 1.00) | 0.71 (0.66, 1.06) | |||
| Region | South | 1 | 1 | ||
| Central | 1.01 (0.87, 1.17) | 1.02 (0.87, 1.19) | |||
| East | 2.12 (1.56, 2.86) | 1.55 (1.11, 2.44) | |||
| West | 2.13 (1.56, 3.29) |
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| Random effect | Community level variance (SE) | 0.81 (0.01) | 0.46 (0.02) | 0.43 (0.01) | 0.35 (0.02) |
| ICC (%) |
| 6% | 5.2% | 3.5% | |
| MOR |
| 1.75 (1.42, 1.82) | 1.69 (1.54,1.91) | 1.52 (1.42, 1.61) | |
| PCV | Reference | 43% | 46% |
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| Model fit statistics | Log-likelihood | −81,558 | −68,702 | −70,926 | −62,702 |
| Deviance | 163,116 | 137,404 | 141,852 |
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*Significant at
p < 0.01 and
p < 0.001.
AOR, adjusted odds ratio.
CI, confidence interval.
Model 0, Empty (null) model.
Model I, Only individual-level explanatory variables included in the model.
Model II, Only community-level explanatory variables included in the model.
Model III, Combined model; both individual-level and community-level. explanatory variables.
PCV, proportional change in variance.
MOR, median odds ratio.