Geographic weighted regression analysis of hot spots of modern contraceptive utilization and its associated factors in Ethiopia.
Utilization of modern contraceptives is a common healthcare challenge in Ethiopia. Prevalence of modern contraception utilization is varying across different regions. Therefore, this study aimed to investigate Geographic weighted regression analysis of hotspots of modern contraceptive utilization and its associated factors in Ethiopia, using Ethiopian Demographic and Health Survey 2016 data.
Based on the 2016 Ethiopian Demographic Health Survey data, a total weighted sample of 8,673 women was included in this study. For the Geographic Weighted Regression analysis, Arc-GIS version 10.7 and SaTScan version 9.6, statistical software was used. Spatial regression was done to identify factors associated with the hotspots of modern contraceptive utilization and model comparison was carried out using adjusted R2 and AICc. Variables with a p-value < 0.25 in the bi-variable analysis were considered for the multivariable analysis. Multilevel robust Poisson regression analysis was fitted for associated factors since the prevalence of modern contraceptive was >10%. In the multilevel robust Poisson regression analysis, the adjusted prevalence ratio with the 95% confidence interval was reported to declare the statistical significance and strength of association.
The prevalence of modern contraceptive utilization in Ethiopia was 37.25% (95% CI: 36.23%, 38.27%). Most of the hotspot areas were located in Oromia and Amhara regions, followed by the SNNPR region and Addis Ababa City administration. Single Women, poor Women, and more fertility preference were significant predictors of hotspots areas of modern contraceptive utilization. In the multivariable multilevel robust Poisson regression analysis, Women aged 25-34 years (APR = 0.88, 95% CI: 0.79, 0.98), 35-49 years (APR = 0.71, 95% CI: 0.61, 0.83), married marital status (APR = 2.59, 95% CI: 2.18, 3.08), Others religions (APR = 0.76, 95% CI: 0.65, 0.89), number of children 1-4 (APR = 1.18, 95% CI: 1.02, 1.37), no more fertility preference (APR = 1.21, 95% CI: 1.11, 1.32), Afar, Somali, Harari, and Dire Dawa: (APR = 0.42, 95% CI: 0.27, 0.67), (APR = 0.06, 95% CI: 0.03, 0.12), (APR = 0.78, 95% CI: 0.62, 0.98), and (APR = 0.75, 95% CI: 0.58, 0.98), respectively. Amhara region (APR = 1.34, 95% CI: 1.13, 1.57), rural residence (APR = 0.80, 95% CI: 0.67, 0.95) High community wealth index (APR = 0.78, 95% CI: 0.67, 0.91) were significantly associated with modern contraceptive utilization.
There were significant spatial variations of factors affecting modern contraceptive use across regions in Ethiopia. Therefore, public health interventions targeting areas with low modern contraceptive utilization will help to increase modern contraception use considering significant factors at individual and community levels.The detailed map of modern contraceptive use cold spots among reproductive age group and its predictors could assist program planners and decision-makers to design targeted public health interventions.Government of Ethiopia must develop more geographic targeted strategies for improving socioeconomic status of women and availability & accessibility of health facilities in rural areas of the countries.
Chekol YM
，Jemberie SB
，Goshe BT
，Tesema GA
，Tessema ZT
，Gebrehewet LG
... -
《PLoS One》
Spatial variations and multilevel mixed effect analysis on determinants factors of modern contraceptive utilization among reproductive age women in Ethiopia; proven by Ethiopian mini demographic health survey 2019.
Globally, in 2019, there are 1.9 billion women of reproductive age (15-49), of which 1.1 billion have a need for family planning. Of these, 842 million use contraceptives, and 270 million still have an unmet need for contraception. Ethiopia is a low-income country with inadequate access to family planning (FP), especially in the developing regions. The Ethiopian government was striving to increase the number of health facility in order to provide quality maternal care and services. Increasing the modern contraceptive prevalence rate is one of the goals of the government to reduce maternal and child mortality and morbidity.
Secondary data analysis was conducted using data from mini-EDHS of 2019 demographic and health Survey datasets. The study comprised a total of 8885 reproductive-age women. Spatial variations and multilevel mixed effect analysis on determinants factors of modern contraceptive use among reproductive age women in Ethiopia; evidenced by mini-EDHS 2019. Finally, the percentage and odd ratio, its 95% confidence intervals, and the result of spatial analysis were reported.
This study includes a total weighted sample of 8885 reproductive-age women from the 2019 mini-Ethiopian demographic and health survey. The prevalence of modern contraceptive use was 25.5% in Ethiopia. living in urban area [AOR = 2.13; 95% CI = (1.75, 2.61); P = 0.000], being married [AOR = 1.42; 95% CI = (1.19, 1.70); P = 0.000] were found positively associated with contraceptive use. In contrast to this, attending primary education [AOR = 0.91; 95% CI = (0.74, 1.12); P = 0.000]., being Muslim [AOR = 0.25; 95% CI = (0.22, 0.29); P = 0.000], being poorest [AOR = 0.54; 95% CI = (0.45, 0.66); P = 0.000] were found negatively associated with contraceptive use.
In this study Individual and community level factors were associated with modern contraceptive use and also there were spatial variations in modern contraceptive use across the region among reproductive-age women. Empowering women to have better educational status, improving the wealth index, promoting marriage, creating awareness among rural residences women and promoting education about modern contraceptives through religiously acceptable persons, and promoting modern contraceptive use in developing regions were the key factors to improve modern contraceptive use among reproductive age women in Ethiopia.
Mankelkl G
，Kinfe B
《BMC Womens Health》
Spatial Pattern and Associated Factors of ANC Visits in Ethiopia: Spatial and Multilevel Modeling of Ethiopian Demographic Health Survey Data.
Although there is an increase in having antenatal care (ANC), still many women lack recommended ANC contacts in Ethiopia. Therefore, this study was aimed at determining spatial patterns and associated factors of not having ANC visits using the Ethiopian Demographic and Health Survey (EDHS) 2016 data.
A two-stage stratified cluster sampling technique was employed based on EDHS data from January 18 to June 27, 2016. A total of 7,462 women were included in the study. ArcGIS version 10.7 software was used to visualize the spatial distribution. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for not having ANC visits in Ethiopia. A multivariable multilevel logistic regression model was used to identify individual- and community-level determinants of not having antenatal care. Model comparison was checked using the likelihood test and goodness of fit was assessed by the deviance test.
The primary clusters' spatial window was located in Somalia, Oromia, Afar, Dire Dawa, and Harari regions with the log-likelihood ratio (LLR) of 133.02, at p < 0.001 level of significance. In this study, Islam religion (adjusted odds ratio (AOR) = 0.7 with 95% confidence interval (CI) (0.52,0.96)), mother education being primary (AOR = 0.59, 95% CI (0.49,0.71)), distance from health facility being a big problem (AOR = 0.76, CI (0.65,0.89)), second birth order (AOR = 1.35, CI (1.03, 1.76)), richer wealth index (AOR = 0.65, CI (0.51,0.82)), rural residence (AOR = 2.38, CI (1.54,3.66)), and high community media exposure (AOR = 0.68, CI (0.52,0.89)) were determinants of not having antenatal care in Ethiopia.
The spatial distribution of ANC in Ethiopia is non-random. A higher proportion of not having ANC is found in northeast Amhara, west Benishangul Gumuz, Somali, Afar, north, and northeast SNNPR. On the other hand, a low proportion of not having ANC was found in Tigray, Addis Ababa, and Dire Dawa. In Ethiopia, not having antenatal care is affected by both individual- and community-level factors. Prompt attention by the Federal Ministry of Health is compulsory to improve ANC especially in rural residents, uneducated women, poor households, and regions like Oromia, Gambella, and Somalia.
Tessema ZT
，Akalu TY
《-》
ResearchGate
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钛学术
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