Skip to main content
Erschienen in: BMC Pregnancy and Childbirth 1/2018

Open Access 01.12.2018 | Research article

Spatial distribution of antenatal care utilization and associated factors in Ethiopia: evidence from Ethiopian demographic health surveys

verfasst von: Abraham Yeneneh, Kassahun Alemu, Abel Fekadu Dadi, Atinkut Alamirrew

Erschienen in: BMC Pregnancy and Childbirth | Ausgabe 1/2018

Abstract

Background

Antenatal care (ANC) is one of the components of care to be provided to pregnant women. In Ethiopia, characterizing the spatial distribution of antenatal care utilization is essential to prioritize risk areas where ANC is needed and facilitate interventions. Therefore, this spatial analysis was performed to assess the spatial distribution of ANC utilization between 2000 and 2011 and to identify factors associated with ANC utilization in Ethiopia.

Methods

A total of 23,179 women who had a live birth in the five years preceding the surveys were included in the study. The spatial data were created in ArcGIS10.1 for each study clusters. The Bernoulli model was used by applying Kulldorff methods using the SaTScan™ software to analyze the purely spatial clusters of ANC utilization. Multiple logistic regression analysis was used to identify predictors affecting ANC utilization.

Results

ANC utilization had spatial variations across the country. Spatial scan statistics identified 49 high performing clusters (LLR = 111.92, P < 0.001) in 2000, 51 (LLR = 114.49, P < 0.001) in 2005 and, 86 (LLR = 121.53, P < 0.001) in 2011. ANC utilization was higher among mothers; with richest wealth quintiles, lowest number of birth order, who are living in urban areas, younger and educated.

Conclusion

These results provide further insight into differences in ANC utilization in the country and highlight high and modest performing clusters. This could enable efficient and timely spatial targeting to improve ANC service up take in Ethiopia.
Abkürzungen
ANC
Antenatal care
AOR
Adjusted Odds ratio
CSA
Central statistics agency
EDHS
Ethiopian demographic and health survey
IRB
Institutional Review Board
SNNPR
Southern Nations and Nationality and peoples region
SPSS
Statistical package for social sciences

Background

Antenatal care refers to the regular medical and nursing care recommended for women during pregnancy to prevent, detect and treat complications [1]. Timely initiation of antenatal care is an opportunity to prevent the direct causes of maternal deaths and reduce fetal and neonatal deaths related to obstetric complications [2].
Globally, about 300,000 women die each year as a result of pregnancy related complications [3], 2.6 million babies are estimated to be stillborn [4], and 4 million newborns die in the neonatal period. In sub-Saharan Africa and other resource-poor settings, maternal mortality remains a major public health problem [3, 5]. Such deaths could be prevented if pregnancy and birth-related complications are managed properly through the expansion and uptake improvement of basic antenatal care service [6].
In Ethiopia, the levels of maternal and infant morbidity and mortality are among the highest in the world [7]. These major problems could be addressed by proper utilization of ANC, skilled delivery and postnatal care services [8]. Geographic accessibility of the services is one of the most important factors associated with utilization of maternity care [9]. Rural populations are particularly disadvantaged as they often lack reliable means of transport [10]. Women who have a higher density of clinics nearby have a lower risk of starting antenatal care late [11].
Understanding the levels and geographical variations of ANC utilization would help policymakers, planners, programmers and partners in the health sector to formulate appropriate strategies and interventions and provide quality reproductive health services. The aim of this study was to assess the spatial distribution and identify factors associated with ANC utilization using evidence from the Ethiopian Health and Demographic Surveys between 2000 and 2011.

Methods

Study design and study settings

A repeated cross sectional study design was employed using the Ethiopian Demography and Health Surveys (EDHS) in 2000, 2005, and 2011 to assess spatial pattern of ANC utilization. Ethiopia is located in the horn of Africa. It has a total area of 1,100,000 km2 and lies between latitudes 3° and 15°N, and longitudes 33° and 48°E. Ethiopia has been divided into nine ethnic based and politically autonomous regional states and two cities (Addis Ababa and Dire Dawa). The Regions are subdivided into sixty-eight zones, and then further into 817 districts which are further divided into around 16,253 Kebeles (the lowest local administrative units).

Study population

The source population was all women of childbearing age (15–49 years) in Ethiopia. The study population was all women who had a live birth in the five years preceding the survey just to minimize the recall bias arising from the time relapse. The most recent birth was considered for women with two or more live births during the five-year period. All records related to ANC utilization, which had complete records in all EDHS (EDHS-2000, 2005 and 2011) documents were included in the study.

Sample size and sampling procedure

A total of 23,179 women (7967 women in 2000, 7304 women in 2005 and, 7909 women in 2011) were included in the study. Weighted values were used because weights restore the representativeness of sampled data. Sample weights were calculated and included in each EDHS recoded file. Data were extracted using STATA version 12.0 and SPSS version 20 software.
A Multi-stage stratified sampling technique was used for all three EDHS. In 2000 and 2005, sampling was based on the Census Enumeration Areas (CEAs) of the 1994 Population and Housing Census of Ethiopia [12]. In 2011, sampling was based on the 2007 National Population and Housing Census of Ethiopia [13].
In 2000 and 2005, a total of 540 (139 urban and 401 rural) CEAs were selected using systematic sampling from all regional states in the country. Then, in 2000, 27 households per CEA and in 2005, 24 to 32 households per CEA were selected systematically. In 2011, a total of 624 CEAs (187 urban and 437 rural) were selected using systematic sampling technique.

Data collection tools and procedures

ANC data were obtained from central statistics agency (CSA) using www.​dhsprogram.​com. The web provided the data only for authorized users. Data also comprised the location data (latitude and longitude coordinates).

Statistical analysis

Descriptive and multivariable logistic regression analyses were carried out using STATA 12. Independent variables were age, birth order, region, education, wealth index, and ANC accessibility (e.g. residence, transport and distance). Both bi and multivariable binary logistic regression models were used to identify factors that affect ANC utilization. Those variables with P-value < 0.2 in bi-variable logistic regression model were entered in the multivariable logistic regression model to measure the effect of each variable after adjusting for the effect of other variables using Backward Logistic Regression. Variables with p-value < 0.05 were considered as statistically significant.
A Bernoulli-based model was used in which events at particular places were analyzed if women use ANC or not represented by a 0/1 variable. The scan statistics developed by Kulldorff and SaTScan™ software version 9.4 [8] were used to identify the presence of purely spatial low ANC utilization clusters. Scan statistics did scanning gradually across the space to identify the number of observed and expected observations inside the window at each location. The scanning window with the maximum likelihood was the most likely high performing clusters, and a p-value was assigned to this cluster. The window centered on each of the several possible grid points positioned throughout the study areas. For each grid point, the radius of the window differed continuously in size from zero to a specified maximum value. ANC utilization clusters centered on one of the grid squares used as spatial units of observation.
Spatial interpolation technique was applied to predict the unsampled/unmeasured value from sampled measurements. In the DHS survey ANC utilization is known for all census enumeration areas, but ANC utilization for other unselected locations in Ethiopia is also of interest. The one with the maximum likelihood comprised the highest performing cluster. The p-value was obtained through the Monte Carlo hypothesis testing by comparing the rank of the maximum likelihood from the real datasets with the maximum likelihoods from the random datasets. The number of replications were 999. Secondary clusters were identified in the datasets in addition to the most likely cluster and we ordered them according to their likelihood ratio test statistic. The inferences of secondary clusters were adjusted for more likely clusters in the data using an iterative manner. The maximum cluster size was set at 50% of the population at risk.

Results

There are 14,642 households and 15,716 eligible women in 2000, 14,645 households and 14,717 eligible women in 2005, and 18,720 households and 17,385 eligible women in 2011. From this, a response rates for the first, second, and third surveys were 97.8% (n = 15,370), 95.6% (n = 14,069), and 95% (n = 16,515), respectively. The actual women included in this study were 7967 in 2000, 7304 in 2005, and 7909 in 2011.

Socio-demographic characteristics

Of the total respondents, in 2000, 7061 (88.6%), in 2005, 6673 (91.3%), and in 2011, 6720 (85%) were rural residents. The majority of women ages during birth were between 25 to 29 years old. Women who had 2 to 4 birth order were 3259 (43.8%) in 2000, 3026 (41.4%) in 2005, and 3464 (40.9%) in 2011. In 2000, 6539 (82.0%), in 2005, 5734 (78.5%), and in 2011, 5270 (66.6%) women were uneducated. Of the total women in 2005, 1520 (20.8%) and in 2011 1739 (22.0%) were in the lowest wealth quintile (Table 1). Despite the low coverage of ANC utilization, all regions registered an increasing trend from 2000 to 2011 (Fig. 1).
Table 1
Socio-demographic characteristics of women participated on EDHS (2000, 2005, 2011), Ethiopia
 
Year
 
2011
2005
2000
Variables
Frequency (n = 7909)
Percent
Frequency (n = 7304)
Percent
Frequency (n = 7967)
Percent
Place of residence
 Urban
1189
15
633
8.7
906
11.4
 Rural
6720
85
6671
91.3
7061
88.6
Age at birth
 15–19
402
5.1
440
6.0
472
5.9
 20–24
1608
20.3
1473
20.2
1727
21.6
 25–29
2383
30.1
1960
26.8
2021
25.6
 30–34
1489
18.8
1427
19.5
1493
18.6
 35–39
1239
15.7
1138
15.6
1219
15.3
 40–44
572
7.2
578
7.9
706
8.9
 45–49
216
2.7
288
4.0
329
4.1
Birth order
 1
1399
17.7
1190
16.3
1362
17.1
 2–4
3465
43.8
3024
41.4
3259
40.9
  > =5
3045
38.5
3090
42.3
3346
42.0
Level of education
 No education
2506
31.7
5734
78.5
6539
82.1
 Primary
3483
44.1
1205
16.5
1003
12.6
 Secondary
1068
14.5
325
4.5
400
5.0
 Higher
852
10.7
40
0.5
25
0.3
Wealth quintile
 Poorest
1739
22.0
1520
20.8
  
 Poorer
1696
21.5
1553
21.26
  
 Middle
1628
20.6
1585
21.71
  
 Richer
1494
18.8
1451
19.86
  
 Richest
1352
17.1
1195
16.37
  
Region
 Tigray
530
6.7
480
6.6
536
6.7
 Affar
78
0.9
68
0.9
85
1.1
 Amhara
1991
25.2
1856
25.4
2222
27.8
 Oromia
3116
39.4
2723
37.3
3057
38.4
 Somali
198
2.5
288
3.9
84
1.1
 Benishangul-gum
92
1.2
68
0.9
81
1.0
 SNNP
1634
20.7
1631
22.3
1689
21.2
 Gambela
31
0.4
23
0.3
22
0.3
 Harari
19
0.2
15
0.3
16
0.2
 Addis Ababa
193
2.4
128
1.8
148
1.9
 Dire Dawa
27
0.4
24
0.3
27
0.3

Spatial distribution of ANC utilization

Spatial variation was found in ANC utilization at regional levels. Of a total of 7909 women interviewed, 3361 (42.5%) women utilized ANC by skilled health care providers. The highest utilization of ANC was spatially clustered in Addis Ababa. On the other hand, Somali Region was the lowest in ANC utilization (Table 1). Of a total of 7304 women interviewed in 2005, 2016 (27.6%) utilized ANC. Of a total of 7967 women interviewed in 2011, 2127 (26.7%) utilized ANC. Out of these, the highest ANC utilization was in Addis Ababa, Dire Dawa, Hareri and Gambela sequentially, while Amhara and Somali Region showed the lowest ANC utilization (Table 1).

Spatial pattern of ANC utilization

In EDHS 2000, spatial scan statistics identified a total of 145 high and modest performing spatial clusters of ANC utilization. Of these, 49 clusters were high performing clusters) (LLR = 111.92, P < 0.001) accounting for 33.7% and 96 clusters were modest performing clusters (LLR = 71.15, P < 0.001) accounting for 66.3%. The highest performing clusters of ANC utilization were detected in Addis Ababa, Dire Dawa, Harari, Oromia, Gambela and Tigray regions. The modest ANC utilization clusters were located around Somali and Amhara Regions (Fig. 2).
In EDHS 2005, spatial scan statistics identified a total of 78 spatial clusters of ANC utilization. Of these, 51 spatial clusters were high performing (LLR = 114.49, P < 0.001) and 27 clusters were modest performing clusters (LLR = 99.04, P < 0.001) and accounted 53.9% of the clusters. The high performing clusters of ANC utilization were detected in Addis Ababa, Dire Dawa, Harari, some part of SNNP, Benishangul Gumuz and Tigray regions. The modest ANC utilization clusters were detected in Somali and Gambela Regions (Fig. 3).
In EDHS-2011, spatial scan statistics identified a total of 136 spatial clusters of ANC utilization. Of these, 86 clusters were high performing clusters (LLR = 121.53, P < 0.001) while 50 clusters were modest perfuming clusters (LLR = 61.87, P < 0.001). The high performing spatial clusters of ANC utilization were detected in Addis Ababa, Dire Dawa, Harari, Gambela, Benishangul Gumuz and Tigray regions. The modest antenatal care service utilization clusters were mostly located around Somali and some part of Afar Regions (Fig. 4).

Interpolation using GIS mapping

Based on EDHS-2000 sampled data, geostatistical analysis predict that highest ANC utilization rates were detected in South-West Oromia region, some Northern part of Oromia and some parts of southern SNNPR. In contrast, relatively low ANC utilization areas were predicted in Beneshangul Gumuz, Western part of Gambela, Northern part of Affar and most part of Somali. Based on EDHS-2005 Geostatistical analysis, high ANC utilization was detected in Southwest part of Amhara, Northeast Oromia and Southeast part of SNNPR. In contrast to this, low ANC utilization places were in the Eastern part of Somali, most part of Affar and Gambela and Western part of Beneshangul Gumuz. From the third EDHS sampled data in 2011, geostatistical analysis predicted that most part of Oromia, Northern Amhara and some part of Western SNNPR contained the highest ANC utilization areas, while most parts of Afar, Somali, Beneshangul Gumuz and Gambela contained modest ANC utilization areas (Figs. 56 and 7).

Factors associated with ANC utilization for EDHS-2011

After adjusting for different confounding variables, place of residence, age at birth, level of education, region, birth order and wealth status were significantly associated with ANC utilization (Table 2).
Table 2
Women’s socio-demographic characteristics and its association with utilization of antenatal care service 2011, Ethiopia
Variable
Received ANC
Crude odds ratio (95% CI)
Adjusted odds ratio (95% CI)
 
Yes
No
  
Place of residence
 Urban
893
297
5.21 (4.52–5.99)
1.55 (1.22–1.97)
 Rural
2471
4248
1
1
Age at birth
 15–19
160
242
0.82 (0.66–1.02)
0.80 (0.61–1.06)
 20–24
787
822
1.19 (1.05–1.36)
1.18 (1.00–1.38)
 25–29
1059
1324
1
1
 30–34
577
912
0.79 (0.69–0.90)
0.80 (0.68–0.95)
 35–39
512
727
0.88 (0.77–1.01)
0.94 (0.78–1.13)
 40–44
207
364
0.71 (0.59–1.86)
0.83 (0.65–1.06)
 45–49
63
153
0.52 (0.38–0.70)
0.59 (0.41–0.85)
Birth order
 1
753
646
1.53 (1.35–1.74)
1.34 (1.13–1.59)
 2–4
1495
1969
1
1
  > =5
1117
1929
0.76 (0.69–0.84)
1.01 (0.87–1.18)
Mothers Education
 No education
888
1618
0.45 (0.40–0.49)
0.31 (0.23–0.56)
 Primary
1916
1567
1
1
 Secondary
943
125
6.17 (5.06–7.52)
4.67 (4.02–6.65)
 Higher
796
56
11.62 (8.79–15.36)
7.44 (6.98–9.01)
Wealth quintile
 Poorest
436
1303
1
1
 Poorer
593
1103
1.607 (1.39–1.86)
1.54 (1.31–1.81)
 Middle
616
1012
1.82 (1.57–2.11)
1.86 (1.58–2.19)
 Richer
704
790
2.66 (2.30–3.09)
3.01 (2.54–3.56)
 Richest
1016
336
9.07 (7.69–10.68)
5.79 (4.52–7.40)
Region
 Tigray
328
202
2.76 (2.28–3.34)
2.85 (2.28–3.57)
 Affar
27
51
0.82 (0.51–1.31)
0.86 (0.49–1.51)
 Amhara
794
1197
1.01 (0.90–1.14)
1.02 (0.89–1.17)
 Oromia
1232
1884
1
1
 Somali
50
148
0.52 (0.37–0.72)
0.37 (0.25–0.55)
 Benishangul
37
55
1.03 (0.67–1.56)
1.02 (0.63–1.65)
 SNNP
660
974
1.04 (0.92–1.17)
1.13 (0.98–1.31)
 Gambela
18
13
2.03 (0.99–4.15)
2.03 (0.86–4.75)
 Harari
11
8
2.22 (0.89–5.52)
1.02 (0.35–2.97)
 Addis Ababa
180
13
21.54 (12.16–38.16)
4.00 (2.14–7.48)
 Dire Dawa
16
11
2.29 (1.05–5.03)
1.14 (0.44–2.94)
Women who lived in urban areas were 1.55 times more likely to utilize ANC than women living in rural areas [AOR = 1.55; 95% CI; 1.22–1.97]. As the wealth of the women increases the odds of utilizing ANC also increases. The odds of ANC utilization was 0.31 [AOR = 0.31; 95%CI; 0.23–0.56] times lower among non-educated group, 4.67 [AOR = 4.67; 95%CI; 4.02–6.65] times higher among mothers with secondary education and 7.44 [AOR = 7.44; 95%CI; 6.98–9.01] times higher among mothers with higher education as compared to mothers with primary level of education. Women’s in age group of 30–34 and 45–49 were 20% [AOR = 0.80; 95%CI; 0.68–0.95] and 41% [AOR = 0.59; 95%CI; 0.41–0.85] less likely to utilize ANC as compared to women in the age group of 25–29. Mothers whose their pregnancy is for the first time were 1.34 times more likely to utilize ANC [AOR = 1.34; 95%CI; 1.13–1.59]. Compared to women living in Oromia region, those living in Tigray [AOR = 2.85; 95%CI; 2.28–3.57] and Addis Ababa [AOR = 4.00, 95%CI; 2.14–7.48) were more likely to utilize ANC (Table 2).

Discussion

SaTScan and GIS-based spatial statistical techniques provide an opportunity to clarify and identify antenatal care utilization within a country and help future investigations into factors responsible for increased antenatal care utilization. Geographic visualization of ANC utilization using these tools was instrumental to understand highest and modest utilization level and target interventions in high-risk areas. This study has provided a visually powerful analysis of spatial variation in antenatal care utilization among women in Ethiopia.
ANC utilization rate has substantially increased from 26.7% in 2000 to 27.6% in 2005 and 42.5% in 2011 in Ethiopia. High variations, however, are observed between rural and urban areas. This variation may be because of proximity of the health facility in the village and the geographical distribution of ANC clinics. These reasons are consistent with findings of another study in Brooklyn, US [11]. In all surveys, women from urban areas had less numbers than women from rural areas (11.4% versus 88.6%, in 2000, 8.7% versus 91.3% in 2005, and 15% versus 85% in 2011, respectively. There is also variation in antenatal care utilization across the country’s regions. Highest antenatal care utilization rates were reported in Addis Ababa, Dire Dawa, Harari, whereas comparatively modest utilization was reported in Somali regions and Affar. These regions are relatively urban in which health facilities are more accessible and women are more aware of maternal health services. The multivariable model also revealed consistent finding in which Tigray and Addis Ababa were the places where the highest ANC utilization is recorded and Somali is found to be the place where small number of mothers got ANC as compared to the biggest region (Oromia). These reasons are consistent with the findings of another study in Ethiopia [14].
Another factor that affected ANC utilization was the income of the mother, the odds of ANC utilization being higher among women in the richest wealth quintile. Even though, ANC is currently under exempted service in health facilities in Ethiopia, it was not like this before and women should pay to get the service. In addition, income would also affect health seeking behavior of the mother in which poor mothers had low health seeking behavior [15, 16].
Age of the mother and birth order are the other predictor variables reported to have an association with ANC utilization. Relatively younger women and whose pregnancy is for their first time were more likely to attend ANC service as compared to older and multiparous women. Similar studies have also reported an indirect relationship between parity and maternal services; women’s of high parity tend to use ANC less [17, 18]. This could be explained by low to no experience about the current pregnancy will make the new mother to have some sort of fear of risks associated with her pregnancy that make her more curios to have frequent ANC visits. The perception that they had better knowledge about pregnancy complications would be another factor that explains low ANC uptake by mothers who had more number of children as compared to new mothers [19].
Like previous studies [1719], in the current analysis, educated women were more likely to utilize ANC as compared to those relatively educated. It is true that education enhances the health seeking behavior of the mother, it also make the mother to actively involved in different knowledge enhancement activities like reading materials, service promotions, and peer discussions. It is also believed that more educated mothers would tend to give better care and concern for their health and their fetus and they are also more likely to strive to know benefits of the service and associated pregnancy complications.

Conclusion

This study identified spatial clusters of ANC utilization in Somalia Region with low utilization rates and Addis Ababa with the highest utilization rate. Richest wealth quintiles, lowest number of birth order, educated, living in urban areas and being younger increased the likelihood of utilizing ANC. These results provide further insights into identifying the true picture of ANC utilization clusters in the country and enable efficient and timely spatial targeting factors triggering low utilization of antenatal care.

Acknowledgements

The authors gratefully acknowledge support received from University of Gondar for providing fund. We also thank the Ethiopian Central Statistics Agency for providing us with the data and shape files for the study area.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Institutional review board of college of medicine and health sciences ethics committee ruled that no formal ethics approval was required in this particular case since it is a secondary data.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Organization WH. Making pregnancy safer: a health sector strategy for reducing maternal and perinatal morbidity and mortality. Geneva: World Health Organization; 2005. Organization WH. Making pregnancy safer: a health sector strategy for reducing maternal and perinatal morbidity and mortality. Geneva: World Health Organization; 2005.
2.
Zurück zum Zitat Reynolds HW, Wong EL, Tucker H. Adolescents’ use of maternal and child health services in developing countries. Int Fam Plan Perspect. 2006;32(1) Reynolds HW, Wong EL, Tucker H. Adolescents’ use of maternal and child health services in developing countries. Int Fam Plan Perspect. 2006;32(1)
3.
Zurück zum Zitat Lozano R, Wang H, Foreman KJ, Rajaratnam JK, Naghavi M, Marcus JR, et al. Progress towards millennium development goals 4 and 5 on maternal and child mortality: an updated systematic analysis. Lancet. 2011;378 Lozano R, Wang H, Foreman KJ, Rajaratnam JK, Naghavi M, Marcus JR, et al. Progress towards millennium development goals 4 and 5 on maternal and child mortality: an updated systematic analysis. Lancet. 2011;378
4.
Zurück zum Zitat Mondal D, Galloway TS, Bailey TC, Mathews F. Elevated risk of stillbirth in males: systematic review and meta-analysis of more than 30 million births. BMC Med. 2014;12(220) Mondal D, Galloway TS, Bailey TC, Mathews F. Elevated risk of stillbirth in males: systematic review and meta-analysis of more than 30 million births. BMC Med. 2014;12(220)
5.
Zurück zum Zitat Hogan MC, Foreman KJ, Naghavi M, Ahn SY, Wang M, Makela SM, et al. Maternal mortality for 181 countries, 1980–2008: a systematic analysis of progress towards millennium development goal 5. Lancet. 2010; Hogan MC, Foreman KJ, Naghavi M, Ahn SY, Wang M, Makela SM, et al. Maternal mortality for 181 countries, 1980–2008: a systematic analysis of progress towards millennium development goal 5. Lancet. 2010;
6.
Zurück zum Zitat Kinney MV, Kerber KJ, Black RE, Cohen B, Nkrumah F, Coovadia H, et al. Sub-Saharan Africa’s mothers, newborns, and children: where and why do they die? PLoS Med. 2010;7(6) Kinney MV, Kerber KJ, Black RE, Cohen B, Nkrumah F, Coovadia H, et al. Sub-Saharan Africa’s mothers, newborns, and children: where and why do they die? PLoS Med. 2010;7(6)
7.
Zurück zum Zitat CSA. Ethiopia Demographic and Health Survey 201, 1Central Statistical Agency Addis Ababa, Ethiopia ICF International Calverton. Maryland, USA: CSA; 2011. CSA. Ethiopia Demographic and Health Survey 201, 1Central Statistical Agency Addis Ababa, Ethiopia ICF International Calverton. Maryland, USA: CSA; 2011.
8.
Zurück zum Zitat Kulldorffand M. Spatial disease clusters: detection and inference. Stat Med. 1995;14(8) Kulldorffand M. Spatial disease clusters: detection and inference. Stat Med. 1995;14(8)
9.
Zurück zum Zitat Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet. 2006;368:1189–200.CrossRefPubMed Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet. 2006;368:1189–200.CrossRefPubMed
10.
Zurück zum Zitat Ibnouf AH, van den Borne HW, Maarse JA. Utilization of antenatal care services by sudaneses women in their reproductive age. Saudi Med. 2007;28(5) Ibnouf AH, van den Borne HW, Maarse JA. Utilization of antenatal care services by sudaneses women in their reproductive age. Saudi Med. 2007;28(5)
11.
Zurück zum Zitat McLafferty S, Grady S. Prenatal care need and access: a GIS analysis. McLafferty and Grady. 2004; McLafferty S, Grady S. Prenatal care need and access: a GIS analysis. McLafferty and Grady. 2004;
12.
Zurück zum Zitat Central Stastical Agency of Ethiopia; The 2007 population and house census of Ethiopia; results at country level. Central Stastical Agency of Ethiopia; The 2007 population and house census of Ethiopia; results at country level.
13.
Zurück zum Zitat [Ethiopia] CSA. The 2007 Population and Housing Census of Ethiopia. Statistical Summary Report at National Level. Addis Ababa, Ethiopia; 2008. [Ethiopia] CSA. The 2007 Population and Housing Census of Ethiopia. Statistical Summary Report at National Level. Addis Ababa, Ethiopia; 2008.
14.
Zurück zum Zitat Tewodros B, G/Mariam A, Dibaba Y. Factors affecting antenatal care utilization in yem special woreda, Southwestern Ethiopia Ethiop J Health Sci 2009;Vol. 19(01). Tewodros B, G/Mariam A, Dibaba Y. Factors affecting antenatal care utilization in yem special woreda, Southwestern Ethiopia Ethiop J Health Sci 2009;Vol. 19(01).
16.
Zurück zum Zitat Rahman M, Haque SE, Mostofa G, Tarivonda L, Shuaib M. Wealth inequality and utilization of reproductive health services in the Republic of Vanuatu: insights from the multiple indicator cluster survey, 2007. Int J Equity Health. 2011;10:58.CrossRefPubMedPubMedCentral Rahman M, Haque SE, Mostofa G, Tarivonda L, Shuaib M. Wealth inequality and utilization of reproductive health services in the Republic of Vanuatu: insights from the multiple indicator cluster survey, 2007. Int J Equity Health. 2011;10:58.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Fekede B, G/Mariam A. Antenatal care services utilization and factors associated in Jimma Town (South West Ethiopia). Ethiop Med J. 2007;45(2):123–33.PubMed Fekede B, G/Mariam A. Antenatal care services utilization and factors associated in Jimma Town (South West Ethiopia). Ethiop Med J. 2007;45(2):123–33.PubMed
19.
Zurück zum Zitat Ghaffar A, Pongponich S, Ghaffar N, Mehmood T. Factors associated with utilization of antenatal care services in Balochistan province of Pakistan: an analysis of the multiple Indicator cluster survey (MICS) 2010. Pak J Med Sci. 2015;31(6):1447–52.PubMedPubMedCentral Ghaffar A, Pongponich S, Ghaffar N, Mehmood T. Factors associated with utilization of antenatal care services in Balochistan province of Pakistan: an analysis of the multiple Indicator cluster survey (MICS) 2010. Pak J Med Sci. 2015;31(6):1447–52.PubMedPubMedCentral
Metadaten
Titel
Spatial distribution of antenatal care utilization and associated factors in Ethiopia: evidence from Ethiopian demographic health surveys
verfasst von
Abraham Yeneneh
Kassahun Alemu
Abel Fekadu Dadi
Atinkut Alamirrew
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2018
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-018-1874-2

Weitere Artikel der Ausgabe 1/2018

BMC Pregnancy and Childbirth 1/2018 Zur Ausgabe

Ambulantisierung: Erste Erfahrungen mit dem Hybrid-DRG

02.05.2024 DCK 2024 Kongressbericht

Die Hybrid-DRG-Verordnung soll dazu führen, dass mehr chirurgische Eingriffe ambulant durchgeführt werden, wie es in anderen Ländern schon länger üblich ist. Die gleiche Vergütung im ambulanten und stationären Sektor hatten Niedergelassene schon lange gefordert. Aber die Umsetzung bereitet ihnen doch Kopfzerbrechen.

Sind Frauen die fähigeren Ärzte?

30.04.2024 Gendermedizin Nachrichten

Patienten, die von Ärztinnen behandelt werden, dürfen offenbar auf bessere Therapieergebnisse hoffen als Patienten von Ärzten. Besonders gilt das offenbar für weibliche Kranke, wie eine Studie zeigt.

Harninkontinenz: Netz-Op. erfordert über lange Zeit intensive Nachsorge

30.04.2024 Harninkontinenz Nachrichten

Frauen mit Belastungsinkontinenz oder Organprolaps sind nach einer Netz-Operation keineswegs beschwerdefrei. Vielmehr scheint die Krankheitslast weiterhin hoch zu sein, sogar höher als von harninkontinenten Frauen, die sich nicht haben operieren lassen.

Welche Übungen helfen gegen Diastase recti abdominis?

30.04.2024 Schwangerenvorsorge Nachrichten

Die Autorinnen und Autoren einer aktuellen Studie aus Griechenland sind sich einig, dass Bewegungstherapie, einschließlich Übungen zur Stärkung der Bauchmuskulatur und zur Stabilisierung des Rumpfes, eine Diastase recti abdominis postpartum wirksam reduzieren kann. Doch vieles ist noch nicht eindeutig belegt.

Update Gynäkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert – ganz bequem per eMail.