Skip to main content

Individual and community level factors for modern contraceptives utilization among reproductive aged women in Amhara region, Mixed effect multi-level modeling, Data from Mini-EDHS, 2019

Abstract

Background

Modern contraceptive has been identified as a key strategy to control unintended pregnancy, protect the health of the mother and child, and promote women wellbeing. Despite this and increasingly wider availability of modern contraceptives, however, there are still high levels of unmet need for birth interspacing and contraceptive use in Amhara regions. This study aimed to identify factors associated with the enhancing of modern contraceptives utilization among reproductive aged women in Amhara region, using a mixed effects multilevel modeling data from mini-EDHS 2019.

Methods

A community-based cross-sectional study was conducted among 711(wt = 100%) samples of reproductive-aged women. The data were interviewed by trained data collectors using a semi-structured questionnaire for the final mini-EDHS 2019 data set. A multilevel binary logistic regression model was fitted to identify the enhancing factors for modern contraceptive utilization Adjusted Odds Ratio (AOR) with 95% Confidence Intervals (CI) was used to identify factors associated with utilization.

Result

The median age of the participants was 31 with (IQR ± 13) years. The overall modern contraceptive utilization was 42.3% (95%CI: 38.7; 46.1). Individual and community factors accounted for 21.4% of the variation in modern contraceptive utilization at the cluster level. Being age 25 years (AOR = 12.99; 95%CI: 4.5–37.2), 26–35 years (AOR = 8.8, 95%CI: 3.25- 24), 36–45 years (AOR = 5.6, 95%CI: 2.2–16.2), being married (AOR = 4.2, 95%CI: 2.21–6.97), educated women (AOR = 11.6, 95%CI: 3.22–40.4), and being middle-economic class (AOR = 3.03; 95%CI: 1.87–4.91) were identified as individual enhancing factors. Whereas, being urban resident (AOR = 5.19; 95%CI: 5.19: 41.7) and having media exposure (AOR = 1.5; 95%CI: 1.58–3.7) were community-level enhancing factors for modern contraceptive utilization.

Conclusion

Compared to earlier studies, in Amhara region, a lower prevalence rate of modern contraceptive utilization was reported. The variation in utilization at the cluster level, 21.4%, was attributed to individual and community-level factors. Healthcare providers should prioritize raising awareness about contraceptive side effects to encourage new users and decrease the number of individuals who discontinue contraceptive methods.

Introduction

Family planning refers to the ability of individuals or couples to make informed decisions and actively control the number of children they have, as well as the timing and spacing of their births, in order to align with their desired preferences [1, 2]. Many reproductive-age women do not have access to information and services; they need a cheap and effective strategy to promote their sexual and reproductive health. This appropriate utilization of modern contraceptives enables the realization of this goal [3]. Modern contraceptive utilization helps to reduce poverty, increase gender equity, prevent the spread of sexually transmitted infections, and reduce maternal, infant, and childhood mortality [3, 4]. The provision of adequate information and providing different modern contraceptive types can avert 32% of all maternal deaths and loss of 10% of childhood death [5]. The utilization of modern contraceptives, such as intrauterine contraceptive devices (IUCDs), implants (such as Implanon, Jadelle, and Sinoplant), injectable combined oral contraceptives, emergency pills, and female condoms, played a significant role in preventing approximately 308 million unintended pregnancies and averting 3 million deaths caused by unsafe abortions [6, 7].

Globally, in 2019, 172 million women are not using any method of contraception even though they desire to avoid pregnancy [8]. The overall modern contraceptive utilization prevalence rate (CPR) was 56%in the globe. This has significant variation in both developed and developing nations, 62%and 54%, respectively. Specifically, CPR is low as 4.6% in South Sudan and as high as 72.1% in Canada [3, 9, 10]. The African continent achieves only 26% of the globe [11,12,13] and the use of modern contraceptives was hampered by several factors, including religious opposition, spouse opposition, and fears about adverse effects [7, 14, 15]. In underdeveloped countries like Ethiopia, policymakers are increasingly concerned about the rising rates of contraceptive discontinuation following its initiation. Fear of adverse effects and inadequate information are significant factors contributing to abortion after the commencement of contraception, which poses a pressing issue [16]. The reason for discontinuation varies by contraceptive method and is broadly categorized as method failure (fear of side effects), fertility-related (desire for son children), partner’s disapproval, and lack of adequate awareness were some of the factors for discontinuation after starting [17, 18].

The Ethiopian government has implemented FP2030 strategy to enhance the utilization of voluntary family planning, aiming for a 17% increase by 2030. Nevertheless, utilization has impacted by socio-demographic factors of women, which contribute to an 8.6% variation in its usage [7, 11, 19]; but socio-demographic factors of women accounted 8.6%varration in utilization [20]. In Ethiopia, the overall unmet need of family planning was 29.78% [8, 10]. Factors such as the early marriage of a girl have a significant barrier to reproductive health services and cause low confidence in using contraceptives [4, 21]. The problem is more worsening in this region, and the girl is enforced and to have a baby soon after marriage without sufficient economy [7, 11, 19]. According to prior studies, one out of every four married women who desired to avoid pregnancy did not use contraception and had at least one unintended pregnancy [11, 19, 22]. Identifying modern contraceptive use-enhancing factors among sexually active women increased the shifts in fertility rate, accelerated productivity, and quality of life on women’s health [23]. According to a previous compositional study findings in Ethiopia, socio-economic change contributes 45% modern contraceptive uses [23] through positive attitude of household husbands and coupled discussion [23]. Identifying enhancing’s factors for modern contraceptive utilization and reducing fertility rate is a prioritized set for fertility transition to bring economic growth in a given nation and support unified- economic growth theory [24, 25]. Therefore, this study aimed to investigate factors associated with modern contraceptives utilization among reproductive aged women in Amhara region, mixed effects multilevel modeling data from mini-EDHS 2019.

Research question

  1. 1.

    What is the individual-level factors associated with modern contraceptive utilization among reproductive-aged women found in Amahra Region?

  2. 2.

    What are community-level enhancing factors to increase modern contraceptive utilization for reproductive-aged women in the Amhara region?

Methods

Study setting

The data for this study were accessed from the EDHS official database; which is conducted at the national level in Ethiopia from March 2019 to June 2019 and a detailed explanation is publicly available at https://dhsprogram.com/data/ with a [26]. The survey is usually conducted at five–year intervals in the country and four consecutive DHS surveys were conducted in Ethiopia in 2000, 2005, 2011,2016, and mini EDHS was conducted on 2019 [27].

Study design

A community-based cross-sectional survey was employed among 711 sexually active reproductive-age women in the Amhara region.

Sampling size

In the Ethiopian Mini-demographic and health survey of 2019, there were Eleven (11 data collection regions), and the Amhara region was the one that contributed 926 participants women overall 86,794 national level representatives [28]. After editing and cleaning the data set by extracting 962/8679 (11.05%) regional participants, only 711(Wt = 100%) sexually active reproductive-aged women were included after excluding pregnant and mothers having ≤ 4 week-aged babies.

Sampling procedure

Since EDHS was a national-level enumeration of data and has predefined data collection sites in 11 regions and used equal proportional sample selection principles. Due to this 926 predefined data collection, the household was previously marked for the final survey and interviewed by each housewife of the household or / the head [26, 28].

Sources population

All sexually active reproductive-age women in the Amhara region were the source population.

Inclusion criteria

All sexually active reproductive-aged (15 to 49 years) women during this regional survey were included in the final interview.

Exclusion criteria

All Pregnant women, mothers with dyads ≤ 1 month of age, and traditional contraceptive utilizer were excluded from the final analysis.

Variables

Dependent variables

The outcome variable is modern contraceptive use, which is defined as (Yes, used /Not used). The listed types of contraceptives(intrauterine contraceptive devices, injectable pills, implants, female condoms, lactation, amenorrhea, and emergency contraception) were considered for the final data collections of this survey [23].

Independent (explanatory) variables

During the final data analysis, two components; i.e., individual and community-level factors were evaluated on sexually active reproductive-aged women in Amhara region.

Individual-level characteristics (level I)

which includes maternal age (15–49), education (no education, primary, secondary, and higher), religion (protestant, Muslim, Catholic, Orthodox, and others), Number of live children in five years, Wealth index (Poor, middle, rich, and too rich), media exposure (yes, no), age of children, and family size of the participant were assessed.

Community-level factors (level II)

Community-level factors of women include residents (urban and rural), media exposure to family planning (Radio, TV, Newspaper, Mobile messages), and categorized as (Yes/No).

Operational definition

Mass media exposure

Mini-EDHS 2019 asked reproductive-aged women whether they have heard or exposed messages on modern contraceptive utilization from television, radio, newspaper, and mobile messages about family planning during the last months before the interview day. Given that these four variables were highly correlated, and we decided to create a variable called ‘exposure to mass media messages’ with this, we coded as “yes” if respondents were exposed to messages from at least one of the four media outlets (0 = No &1 = Yes) and considered as community levels factors [29].

Data quality control

Before the dataset was accessed, the first proposal was submitted to the Demographic and Health Surveys (DHS) program to use the mini-EDHS 2019 dataset, the Mr.FK and data set were accessed and cleaning, and editing were followed using STATA version 17. During data collection, women aged 15–49 years in selected households were interviewed by a trained data collector by Ethiopian Demographic and Health Survey (EDHS)research teams members.

Trained data collectors who are employed by EDHS offices employed computer-assisted personal interviewing (CAPI) data collection systems [29].

Statistical analysis

The data were extracted, cleaned, recorded, and analyzed using STATA version 17 (SE). The EDHS samples were not self-weighted due to the non-proportional allocation of samples from different regions as well as urban and rural areas, and possible differences in response rates. Thus, the data were weighted before doing any statistical analysis to restore the representativeness of the sample and get a reliable estimate and standard error [29].

Modeling building

Since our objective is to determine the multilevel enhancing factors for modern contraceptive utilization of reproductive-aged women through multilevel binary logistic regression, we used an advanced model to overcome the violation of the independence of observation of EDHS data. We first estimated the null model (Model I) containing only the outcome variables, which is the utilization of modern contraceptives (Yes/No).

The second (Model II) is a multivariable adjustment for individual-level variables, which included a p-value of less than 0.25 in the bivariable regression model. Which contain all individual-level factors, variables that were significant candidates transferred to multivariable with a criterion of P < 0.25 in the second model were considered as candidates for the final model (Model IV) regression. Moreover, in the third stage, community-level variables with dependent variables were regressed and selected when variables ≤ 0.25 were considered candidates for the final model (Model IV) regression.

In the fourth model (Model IV), both individual and community-level variables were assessed simultaneously with the dependent variables, which were captured from each model with statistically significant candidate transferred criteria for final model fitness. During this time, the adjusted odds ratio (AOR) and confidence interval (95%CI) was used to measure the association of the covariate with outcome variables after model comparison and adjustment for confounding.

Proportional Changes in the Community-level variance (PCV), and Median Odds Ratio (MOR) were calculated at this stage. PCV measures the proportional change in the community community-level variance (Model I) and the subsequent model (Model II). The MOR aimed to translate the community-level variance into the widely used odd ratio scale, which has a consistent and intuitive interpretation [8]. MOR is defined as the median value of the odds ratio between the area with the highest contraceptive utilization and the area with the lowest contraceptive utilization when randomly picking out the two clusters [30]. The Final multilevel binary logistic regression model was expressed in equation form as follows;

Logit (p) = log (p/1 − p) = β0j + β1jX1ij + β2jX2ij + ……βqjXqij

= since, В0j = γ00 + γ0sZsj + u0j

=Вqj = γq0Xqij + γqsZsjXqij + uqjXqij or

= Logit(p) = γ00 + γ0sZsj + γq0Xqij + γqsZsjXqij + u0j + uqjXqi.

Where we have “q” as the explanatory variable at the lower level, and “s” as explanatory variables at the highest level; each in detail expressed as.

j = subscript indicates that this case belongs to the jth group.

ij = subscript indicates that the ith individual within the jth group.

γ00 = the overall intercept (fixed part).

Boj = is a random intercept at the community level.

Β&S = were “γ” and “s” regression coefficients.

U0j = Error term of the intercept or deviation from the average intercept.

Uqj = Error term of slope.

βqj or deviation from average slope βq due to level-2 explanatory variable Zsj.

Model comparisons

The final model tested its fitness based on three model classes; the intraclass correlation coefficient (ICC), the likely hood ratio (LR) test, the Akakian information criteria (AIC), and Bayesian Information Criteria (BIC) test since the model is by nature being nested. The final model III (individual + community) was the best-fit model for this study.

Result

Sampled characteristics

Overall, 711(Wt = 100%) sexually active reproductive aged women were included for final analysis. The median age of participant and women was found to be 31(IQR ± 13) years. Nearly one-fourth 275 (38.68%) of the participants were between 26 and 35 years. More than half 459 (64.56%) of those had no formal education, but only 23 (3.23%) of them had a certificate and above. Regarding the respondents’ religious 619 (87.06%) participants, women were orthodox religious followers, but only six (0.8%) of them were catholic religion believers. Whereas, nearly one-third of the respondents (203, 28.55%) and one-fourth (172, 24.19%) were found to be from middle-class and low-income backgrounds, respectively Table 1.

Table 1 Socio-Demographic characteristics of sexually active reproductive aged women to identify determents for utilizing modern contraceptives in Amhara region, Mini EDHS 2019

Information about modern contraceptives

Regarding the information on modern contraceptive majority, 681 (95.78%) of participant women heard about the utilization of modern contraceptives from a health institutions, but only 16.8% of them had media exposure on the types and when to the use of modern contraceptives. Moreover, of the total contraceptive users, 283(94.1%) were married women, but the remaining 13(4.3%) and 3(0.99%) were divorced and widowed contraceptive users’ women, respectively.

Level of modern contraceptive utilization

At the end of the study, the overall prevalence of modern contraceptives was 42.3% (301/711) (95%CI: 38.7; 46.1) in Amhara region. Majority 174(57.8%) of contraceptive utilizers were used injectable types, and the remaining 65(21.5%) were implants, 8(2.7%) pills and 8(2.7%) IUCD, respectively. On the other hand, 21(6.9%) sexually active reproductive women used periodic abstinence, lactation, amenorrhea, diaphragm, and female sterilization in cumulative.

Random effects and modern comparison

As shown in Table 2, the intraclass correlation of the null model (Model = 1) was found to be 12.3%; which is exclusively 12.3%variation of modern contraceptive uses among reproductive-age women was attributed to the difference in zonal level family planning service variation. Whereas there was 21.4%variation in modern contraceptive utilization. This is evidenced by the significant variability of the intraclass correlation of multilevel regression (ICC = 16.3%), Table 2.

Table 2 Random effect analysis and model fitness for assessing factors associated with modern contraceptive utilization among married women in Amhara region, EMDHS, 2019

Factors associated with modern contraceptives

The difference in modern contraceptive utilization was assessed both with individual and community level regression of mixed effects multilevel analysis.

Individual level factors in model II

We first estimated the null model (Model I), which is containing only the outcome variables (Yes/No) and followed Model II (outcome variables + individual level factors) were regressed. After ascertainment of certain cofounding in the final regression of model II, being aged ≤ 25 years, 11.9 (AOR = 11.9, 95%CI: 3.9–36.9], 26–35 years 8.5 (AOR = 8.5, 95%CI: 2.8–25.7], 36–45 years 3.4 (AOR = 3.4, 95%CI: 1.14–10. 6]being married women were 4.2 (AOR = 4.2, 95%CI: 2.3–7.2) were identified as factors enhanced modern contraceptive utilization as compared with counter groups. Likewise, sexually active reproductive age women being completed primary school, Secondary, and preparatory school were (AOR = 1.8, 95%CI: 1.28–2.6], (AOR = 3.7, 95%CI: 1.65–8.6], and (AOR = 8.02,95%CI: 2.5- 25.31] significantly associated with contraceptive utilization respectively. Moreover, sexually active reproductive-aged women having children aged ≤ 12 months and 13–36 Months after birth had (AOR = 4.9, 95%CI: 1.9–12.8], and (AOR = 6.6, 95%CI: 2.7–15.7) times significantly associated with utilization of contraceptive, respectively.

Community-level factors in model III

During the final report of Model III, community-level factors were added to assess enhancing factors for modern contraceptive utilization. Accordingly, resident and mass media exposure were significantly associated with contraceptive utilization (AOR = 1.9, 95%CI:1.2–4.1]and (AOR = 14.4[5.19; 41.7] time increased enhancement of modern contraceptive utilization Table 2.

The final model (model IV)

In the final multivariable analysis, the following individual and community-level factors were associated with modern contraceptive utilization for sexually active reproductive-aged women. After controlling certain confounding in the final model (Model IV), there were two community-level and eight individual-level factors that were enhancing the utilization of modern contraceptives.

Accordingly, age ≤ 25 (AOR = 12.99; 95%CI: 4.5–37.2), 26–35 years (AOR = 8.8, 95%CI: 3.25–24.01), and 36–45 years (AOR = 5.6, 95%CI: 2.2–16.2) were significantly associated with utilization of modern contraceptive as compared with women aged ≥ 46 years.

Moreover, the odds of modern contraceptive utilization were 4.2 (AOR = 4.2, 95%CI: 2.21–6.97) time enhanced by married women as compared with divorced. In this report, the odds of utilizing modern contraceptives were 11.6 (AOR = 11.6, 95%CI: 3.22–40.45) and time improved for reproductive-aged women who had completed preparatory school ‘as compared with women who had no formal education.

The final multivariable analysis the odds of modern contraceptive utilization for women with a middle economic index were 3.03(AOR = 3.03; 95%CI: 1.87–4.91) and time heightened as compared with poor household economic class.

Sexually active reproductive-aged women and having dyads/children with 13 to 36 months aged was 3.17 (AOR = 3.17, 95%CI: 1.5–6.63) time enhanced utilizing modern contraceptive methods as compared with mothers with her baby ≥ 37 months of age.

In this report, women who have ≤ 2 families in their house were 2.2(AOR = 95%CI: 1.5–3.23) times the enhanced odds of utilizing modern contraceptives as compared with no children. As a final point, on multivariable regression of the final model, the odds of modern contraceptive utilization were 14.4 (AOR = 5.19; 95%CI: 5.19: 41.7) time enhanced for those sexually active aged women who were from urban residents as compared with from rural resident. Reproductive-aged women with media exposure to family planning were 1.5 (AOR = 1.5; 95%CI: 1.58–3.68) times increased odds of utilizing modern contraceptives than those who had no media exposure seen (Table 3).

Table 3 Multivariable multilevel analysis for determinants of modern contraceptive utilization of sexually active reproductive women in Ethiopia, data from Mini-2019 EDHS

Discussion

At the end of this study, the prevalence of modern contraceptive utilization among sexually active reproductive-aged women in Amhara region was found 42.4% (38.88–46.15). This report is consistent with previous findings in Harari (40%) [31]. Conversely, this finding is higher than previously reported in Metekel zone (18.6%), in Harari (reported 18.4%), Afar regions(9.8%) [32,33,34], and national level finding in EDHS 2016 (20.42%) [20], 38.7% pooled report of SSA countries [30], 21% in Ghana(21%), Burkina Faso(24%), Senegal (26.3%), and Sierra Leone(24.9%) [35,36,37,38,39]. The differences could be due to participants’ cultural, religious, and awareness dissimilarity to modern contraceptive methods. Additionally, variations in the study period might contribute to the observed discrepancy in modern contraceptive methods utilization.

Conversely, the final report of this study was lower than earlier reported 58% in Kenya [40], 45·7% in London [35], and 55% in India [36]. The difference could be in the Amhara region, after a girl married and enforced to have a baby soon after marriage before sufficient economy built due to social pressure and more inclined to late to start modern contraceptive utilization [7, 11, 19].

Consistent with previous research findings [8, 30, 41, 42], being age ≤ 25 years, 26–35 years, and 36–45 years have enhanced the odds of modern contraceptive utilization as compared with aged ≥ 46 years. The possible reason might be related to the relationship between the age and educational status of sexually active women; when women were less educated compared to young women and the likelihood of desire for bearing more children increased and less to use family planning [43]. In this report, the odds of utilizing modern contraceptives were 11.6 (AOR = 11.6, 95%CI: 3.22–40.45) for time-enhanced reproductive-aged women who had completed preparatory classes as compared with women who had no formal education. This is consistent with previous findings [1, 16, 30]. When the level of education increases, the likely hood of the desire for bearing more children is decreased and the utilization of family planning increased [4]. This might be linked with youths and adolescents who are eager for sexual activity, but fearful for the outcome of early pregnancy and highly intended to use family planning [40] and intended to be well with their business activities to make their future lives better by extending their childbearing age through contraceptives [43].

The final report of this study revealed that there is a strong relationship between the household economic wealth index and modern contraceptive utilization. Consistent with the previous finding in Ethiopia [4, 8, 30, 32], Nigeria [3], and India [44]; in our report, the odds of modern contraceptive utilization among women in the middle-income class have a significant association with the utilization of modern contraceptives. This might be due to the capacity to purchase modern contraceptives, not necessarily relying on their partners. The wealth variables are an aggregated index of assets, with many having assets such as cell phones, radio, television, and cars, all of which can contribute to important factors to get accessed updated information through different mass media platforms may be challenging for those who are the poorest wealth index class, women.

As evidenced by the multivariable regression of this report, there is a strong relationship between marital status and modern contraceptive utilization. The odds of modern contraceptive utilization were significantly associated with married women as compared with divorced women. This is concordant with earlier reported in Ethiopia [4], and East African countries [8]. The possible reason may be explained as marriage broadens the social bonding and capital base of women, which improves the potential access to media resources through social networks and joint decision-making with the husband and enhances the use of modern contraceptives.

The level of education for sexually active women was an independent predictor for modern contraceptive utilization. In this report, the odds of utilizing modern contraceptives was 11.6 (AOR = 11.6, 95%CI: 3.22–40.45) time enhanced or improved for reproductive-aged women who had completed preparatory classes as compared with no formal education. This is comparable with the previous study finding in Jimma [32], Arbaminch [30], pooled findings in Sub-Saharan Africa [8], Tanzania [42], Mali and Burkina Faso [37]. This might be due to an increase in the level of educational status and increased awareness of sexual and reproductive health, maximizing the probability of getting contraceptive-related information and improving the decision-making ability of women. Meaning, educated women had power in sexual and reproductive health decisions and were well-known about the benefits of modern contraceptives through reading newspapers, mass media, and different social media, and this might help to develop good health care-seeking behaviors including family planning services.

In the final multivariable regression, the odds of women who had ≤ 2 family members in their house were 2.2(AOR = 95%CI: 1.5–3.23) time enhanced to utilized modern contraceptives as compared with no children. This is concordant and similar to the previously reported finding in Addis Ababa [5] and Nigeria [3]. The age of children is one of the prominent factors for the initiation of contraceptive utilization after birth and this is because women who are linked with most lactating women commonly practice the use of contraceptives to reduce the risk of immediate pregnancy and to shape the household structure including the education status, and the limit of several children in a household.

This study indicated that the odds of modern contraceptive utilization methods was 14.4 (AOR = 5.19; 95%CI: 5.19: 41.7) time increased for women who were from urban residents as compared with their counter groups. Unlike previous finding reported in Ethiopia [30], Mali, and Burkina Faso [37]; resident has no significant relation with the utilization of modern contraceptives, however, our report has revealed the odds of utilizing modern contraceptives for sexually active women who reside in an urban area has nearly two-fold increased as compared with women who reside in the rural site. This is consistent with previous findings from the secondary data analysis of the 2016 EDHS [4, 20].

The final report of this study indicated that having mass media exposure to family planning messages had a significant association with contraceptive utilization. This is consistent with pooled reports in Sub Sahara African countries [45], and the Philippines [46]. This might be related to the mass media message about family planning having a significant effect on endorsing and validating negative attitudes about the lesser side effects, issues, and myths of contraceptive use.

All criteria that have been identified as being beneficial, particularly those at the individual level that affect how contemporary contraceptives are used, such as age, education level, and socioeconomic status, reduce maternal fertility rates and hasten the transition of women becoming more empowered and independent. All of these serve as a road map for unified economic growth theory ideas [24, 25].

Strengths and limitations

The finding of this study has the following strength and limitations during the final reported first of all using advanced models of multilevel regression model removed clustered-level variations and the data set used for the final analysis has highly representative of participants since it was nation level and weighted data. On another other hand, it was impossible to demonstrate a temporal association between the use of contemporary contraceptives and its predictors because of the cross-sectional study design that was employed for the survey. Additionally, because the EMDHS data was a small report, it omitted information on some determinants of the use of contemporary contraceptives.

Implications for practice

Information dissemination to create awareness about the reassurance of side effects of modern contraceptives for new modern contraceptive users and defaulters is highly ramification to increase or enhance contraceptive utilizers.

Conclusion

Two out of five reproductive-aged women utilized modern contraceptives in the Amhara region. The use of modern contraceptives is influenced by 21.4% by both socio-demographic and community-level factors of reproductive women. Maternal age, level of education, child age, marital status, and wealth index were identified as individual-level factors which are responsible for the determinants of utilization at individual levels. Information dissemination and reassurance on the side effects of the contraceptive is highly recommended by healthcare providers.

Data Availability

Data related to this manuscript is available in the hand of the corresponding author and will be obtained under reasonable request.

Abbreviations

AIC:

Akaike’s information criterion

AOR:

Adjusted odds ratio

EAs:

Enumeration areas

EDHS:

Ethiopian Demographic and Health Survey

ICC:

Intra-cluster correlation

MOR:

Median odds ratio

PCV:

Proportional change in variance

References

  1. ladimı Kantorova Helena Cruz Castanheira2 Mark C. Wheldon1 ANZD, Philipp Ueffing1,. Contraceptive use and needs among adolescent women aged 15–19 Regional andglobal estimates and projections from 1990 to 2030 from a Bayesian hierarchical modelling study. PLoS ONE 16(3): e0247479 https://doi.org/10.1371/journalpone0247479. 2021.

  2. Fenta SM, Gebremichael SG. Predictors of modern contraceptive usage among sexually active rural women in Ethiopia: a multi-level analysis. Archives of Public Health = Archives belges de sante Publique. 2021;79(1):93.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Fagbamigbe AF, Adebowale AS, Morhason-Bello I. Survival analysis of time to uptake of modern contraceptives among sexually active women of reproductive age in Nigeria. BMJ open. 2015;5(12):e008371.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ahmed M, Seid A. Association between exposure to Mass Media Family planning messages and Utilization of Modern Contraceptive among Urban and Rural Youth women in Ethiopia. Int J Women’s Health. 2020;12:719–29.

    Article  Google Scholar 

  5. Gebremedhin AY, Kebede Y, Gelagay AA, Habitu YA. Family planning use and its associated factors among women in the extended postpartum period in Addis Ababa, Ethiopia. Contracept Reproductive Med. 2018;3:1.

    Article  Google Scholar 

  6. Ahissou NCA, Benova L, Delvaux T, Gryseels C, Dossou JP, Goufodji S, et al. Modern contraceptive use among adolescent girls and young women in Benin: a mixed-methods study. BMJ open. 2022;12(1):e054188.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Tafere TE, Afework MF, Yalew AW. Counseling on family planning during ANC service increases the likelihood of postpartum family planning use in Bahir Dar City Administration, Northwest Ethiopia: a prospective follow up study. Contracept Reproductive Med. 2018;3:28.

    Article  Google Scholar 

  8. Zemenu Tadesse TessemaID1* ABT, Getayeneh. Antehunegn Tesema1 YY, 2, Misganaw Gebrie Worku3. Pooled prevalence and determinants of modern contraceptive utilization in East Africa: A Multi-country Analysis of recent Demographic and Health Surveys. PLoSONE 16(3): e0247992 https://doi.org/10.1371/journalpone0247992. 2021.

  9. Ejembi CL, Dahiru T, Aliyu AA. Contextual Factors Influencing Modern Contraceptive Use in Nigeria Emographic and Health Surveys. Dhs Working Papers. 2015. https://dhsprogram.com/publications/publication-wp120-working-papers.cfm.

  10. Asmamaw DB, Negash WD. Magnitude of unmet need for family planning and its predictors among reproductive age women in high fertility regions of Ethiopia: evidence from Ethiopian Demographic and Health Survey. BMC Womens Health. 2022;22(1):408.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kettema WG, Aynalem GL, Yismaw AE, Degu AW. Modern contraceptive utilization and determinant factors among Street Reproductive-aged women in Amhara Regional State Zonal Towns, North West Ethiopia, 2019: community-based study. Int J Reproductive Med. 2020:7345820.

    Article  Google Scholar 

  12. Ashebir W, Tadesse T. Associated factors of Postpartum Modern Contraceptive Use in Burie District, Amhara Region, Ethiopia. J Pregnancy. 2020:6174504.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Gebeyehu NA, Lake EA, Gelaw KA, Azeze GA. The intention on Modern Contraceptive Use and Associated Factors among Postpartum Women in Public Health Institutions of Sodo Town, Southern Ethiopia 2019: an institutional-based cross-sectional study. Biomed Res Int. 2020:9815465.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Edossa MNGaZK. Modern contraceptive utilization andassociated factors among reproductive-age women in Ethiopia: evidence from 2016 Ethiopia demographic and health survey. BMC Womens Health. 2022.

  15. Tsehay CT. Factors associated with moderncontraceptive demands satisfied among currently married/in- union women of reproductive age in Ethiopia: a multilevel analysis of the 2016 Demographic and Health Survey. BMJ Open. 2022;12:e049341. 101136/-2021-049341. 2021.

  16. Dingeta T, Oljira L, Worku A, Berhane Y. Low contraceptive utilization among young married women is associated with perceived social norms and belief in contraceptive myths in rural Ethiopia. PLoS ONE. 2021;16(2):e0247484.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Nayak SR, Mohanty SK, Mahapatra B, Sahoo U. Spatial heterogeneity in discontinuation of modern spacing method in districts of India. Reproductive Health. 2021;18(1):137.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Mulugeta SS, Fenta SM, Fentaw KD, Biresaw HB. Factors associated with non-use of modern contraceptives among sexually active women in Ethiopia: a multi-level mixed effect analysis of 2016 Ethiopian demographic and Health Survey. Archives of Public Health = Archives belges de sante Publique. 2022;80(1):163.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Asresie MB, Fekadu GA, Dagnew GW, Gelaw YM. Modern contraceptive use and influencing factors in Amhara Regional State: further analysis of Ethiopian Demographic Health Survey Data 2016. Adv Public Health. 2020:5817383.

    Article  Google Scholar 

  20. Ethiopian demography and health survey EDHS. Ethiopia demographic and health surveyhttpshttps://www.dhsprogramcom/publications/publication-fr328-dhs-final-reportscfm. 2016.

  21. Berhane Y, Berhe H, Abera GB, Berhe H. Utilization of modern contraceptives among HIV positive Reproductive Age women in Tigray, Ethiopia: A Cross Sectional Study. Isrn Aids. 2013;2013:319724.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Dasa TT, Kassie TW, Roba AA, Wakwoya EB, Kelel HU. Factors associated with long-acting family planning service utilization in Ethiopia: a systematic review and meta-analysis. Contracept Reproductive Med. 2019;4:14.

    Article  Google Scholar 

  23. Worku AG, Tessema GA, Zeleke AA. Trends of Modern Contraceptive Use among Young Married women based on the 2000, 2005, and 2011 Ethiopian demographic and health surveys: a multivariate decomposition analysis. PLoS ONE. 2015;10(1):e0116525.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Peyman N, Oakley D. Effective contraceptive use: an exploration of theory-based influences. Health Educ Res. 2009;24(4):575–85.

    Article  CAS  PubMed  Google Scholar 

  25. Galor O. From Stagnation to Growth:Unified Growth Theory. JEL classification Numbers: O11, O14, O33, O40, J11, J13. August 11, 2004.

  26. Kebede F, Markos M. Does therapeutic zinc level of supplementation for diminutions of Acute Diarrheal Morbidity Varied in Public and Private Health Institutions in Ethiopia, Data from EDHS 2016? Int J Pediatr. 2022;2022:9975917.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Shaweno T, Kura Z. Determinants of modern contraceptive use among sexually active men in Ethiopia; using EDHS 2016 national survey. Contracept Reproductive Med. 2020;5:5.

    Article  Google Scholar 

  28. CSA. The Demographic and Health Surveys Program Guide_to_DHS_Statistics_DHS-7. report analysis Guidline 2020.

  29. USAID. Guide to DHS Statistics DHS-7 (version 2) the Demographic and Health Surveys Program. https://www.dhsprogramcom/data/Guide-to-DHS-Statistics/Guide_to_DHS_Statistics_DHS-7.html. 2020.

  30. Sewunet Sako ShagaroID1* TFG, Be’emnet Tekabe Mulugeta1. Four out of ten married women utilized modern contraceptive method in Ethiopia: AMultilevel analysis of the 2019 Ethiopia mini demographic and health survey. PLoS ONE. 2022;17(1):e0262431.

    Article  Google Scholar 

  31. Musa A, Assefa N, Weldegebreal F, Mitiku H, Teklemariam Z. Factor associated with experience of modern contraceptive use before pregnancy among women who gave birth in Kersa HDSS, Ethiopia. BMC Public Health. 2016;16:614.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Olika AK, Kitila SB, Terfa YB, Olika AK. Contraceptive use among sexually active female adolescents in Ethiopia: trends and determinants from national demographic and health surveys. Reproductive Health. 2021;18(1):104.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Zegeye B, Ahinkorah BO, Idriss-Wheeler D, Olorunsaiye CZ, Adjei NK, Yaya S. Modern contraceptive utilization and its associated factors among married women in Senegal: a multilevel analysis. BMC Public Health. 2021;21(1):231.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Adane AA, Bekele YA, Melese E, Worku GT, Netsere HB. Modern contraceptive utilization and Associated Factors among married Gumuz women in Metekel Zone North West Ethiopia. Biomed Res Int. 2020:8010327.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Cahill N, Sonneveldt E, Stover J, Weinberger M, Williamson J, Wei C et al. Modern contraceptive use, unmet need, and demand satisfied among women of reproductive age who are married or in a union in the focus countries of the Family Planning 2020 initiative: a systematic analysis using the Family Planning Estimation Tool. Lancet (London, England). 2018;391(10123):870–82.

  36. New JR, Cahill N, Stover J, Gupta YP, Alkema L. Levels and trends in contraceptive prevalence, unmet need, and demand for family planning for 29 states and union territories in India: a modelling study using the Family Planning Estimation Tool. The Lancet Global Health. 2017;5(3):e350–e8.

    Article  PubMed  Google Scholar 

  37. O’Regan A, Thompson G. Indicators of young women’s modern contraceptive use in Burkina Faso and Mali from demographic and Health Survey data. Contracept Reproductive Med. 2017;2(1):26.

    Article  Google Scholar 

  38. Beson P, Appiah R, Adomah-Afari A. Modern contraceptive use among reproductive-aged women in Ghana: prevalence, predictors, and policy implications. BMC Womens Health. 2018;18(1):157.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Sserwanja Q, Turimumahoro P, Nuwabaine L, Kamara K, Musaba MW. Association between exposure to family planning messages on different mass media channels and the utilization of modern contraceptives among young women in Sierra Leone: insights from the 2019 Sierra Leone Demographic Health Survey. BMC Womens Health. 2022;22(1):376.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Okigbo CC, Speizer IS, Corroon M, Gueye A. Exposure to family planning messages and modern contraceptive use among men in urban Kenya, Nigeria, and Senegal: a cross-sectional study. Reproductive Health. 2015;12(1):63.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Yifru GT, Haileyesus MT, Regassa BT. Determinants of modern contraceptive methods discontinuation among women within Reproductive Age in dire Dawa City, Eastern Ethiopia. Int J Reproductive Med. 2020;2020:3059435.

    Article  Google Scholar 

  42. Nsanya MK, Atchison CJ, Bottomley C, Doyle AM, Kapiga SH. Modern contraceptive use among sexually active women aged 15–19 years in North-Western Tanzania: results from the adolescent 360 (A360) baseline survey. BMJ open. 2019;9(8):e030485.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sara E, CaseyID1* MCG. Jessica Kakesa3, Anushka Kalyanpur4, Jean-, Baptiste Muselemu5 RVR, Nathaly Spilotros7. Contraceptive use among adolescent and young women in North and South Kivu, Democratic Republic of the Congo: A cross- sectional population-based survey. PLoS Med 17 (3): e1003086. https://doi.org/10.1371/journalpmed1003086 2020.

  44. Ranjita Ghosh1 AM, Aparajita Chattopadhyay1‡, Rajib Acharya2‡. Mass media exposure and use of reversible modern contraceptives among married women in India: An analysis of the NFHS2015–16 data. PLoS ONE 16(7): e0254400. https://doi.org/10.1371/journalpone0254400 2021.

  45. Dwomoh D, Amuasi SA, Amoah EM, Gborgbortsi W, Tetteh J. Exposure to family planning messages and contraceptive use among women of reproductive age in sub-saharan Africa: a cross-sectional program impact evaluation study. Sci Rep. 2022;12(1):18941.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Das P, Samad N, Al Banna H, Sodunke TE, Hagan JE Jr., Ahinkorah BO, et al. Association between media exposure and family planning in Myanmar and Philippines: evidence from nationally representative survey data. Contracept Reproductive Med. 2021;6(1):11.

    Article  Google Scholar 

Download references

Funding

There is no funding received from any organization for this research.

Author information

Authors and Affiliations

Authors

Contributions

FK and TK first conceived the original idea of the study design and formal analysis and drafted the manuscript. SA&BM has been involved with the conception of the study methods, software analysis, and revision of the manuscript interpretations. The authors read(s), and approved the final manuscript.

Corresponding author

Correspondence to Fassikaw Kebede Bizuneh.

Ethics declarations

Ethical review board approval and informed consent

This study used secondary data analysis of EDHS parts from the demographic health survey repository which is publically available, approval was sought to measure DHS/ICF. The Survey Program team allowed us to access the data upon sending an abstract of our study to an online request from http://www.measuredhsprogram.com. All methods were carried out by the relevant guidelines and regulations of the declaration of Helsinki and Woldia University to do this research by writing a letter with refill number RCS. Woldia university college of Health Science, Research and Community Service, Technology-Transformation, And University-Industry Linkage were also supported to do this research by writing a letter on time and software training for research members with refilled number RCS, TT & UIL;0015/2015 on 09/12/2015 E.C. Written informed consent was obtained from each study participant during the mini-EDHS-2019 already married.

Consent for publication

There is no consent for the publication of this paper.

Competing of interest

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bizuneh, F.K., Bizuneh, T.K., Masresha, S.A. et al. Individual and community level factors for modern contraceptives utilization among reproductive aged women in Amhara region, Mixed effect multi-level modeling, Data from Mini-EDHS, 2019. Contracept Reprod Med 8, 56 (2023). https://doi.org/10.1186/s40834-023-00256-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40834-023-00256-6

Keywords