Skip to main content
Download PDF

Unmet need for family planning among rural married women in Ethiopia: What is the role of the health extension program in reducing unmet need?

Reproductive Health volume 19, Article number: 15 (2022) Cite this article

Abstract

Background

Ethiopia is striving to reduce unmet need for family planning (FP) and implementation of the health extension program (HEP) is one of the major actions that the country took to address health issues of rural communities including FP. However, there is limited published evidence demonstrating the role of HEP in reducing the unmet need of married rural women for FP. The aim of this study is to estimate the role of HEP in reducing unmet need for FP in rural Ethiopia.

Methods

This paper is based on data extracted from a national rural HEP assessment that covered all regions of Ethiopia. We identified 4991 eligible married women both from agrarian and pastoralist settings. The role of HEP was measured by the exposure of eligible women to FP services through the implementation of HEP packages. We used descriptive statistics to summarize different variables and used logistic regression to model the unmet need for FP.

Results

The overall prevalence of unmet need for FP among married rural Ethiopian women was 22.41%, contraceptive prevalence rate (CPR) was 44.60%, and the total demand for FP was 60.86%. Women exposed to HEP had a lower level of unmet need (4.82%), a higher demand for FP (37.78%) and a higher CPR (24.93%) compared to women unexposed to HEP. Having exposure to FP services (adjusted odds ratio (AOR) = 0.46, 95% confidence interval (CI) 0.37–0.59), having level IV Health Extension Workers (HEWs) in the catchment health post (AOR = 0.80, 95% CI 0.67–0.95) and older age are significantly associated with lower levels of unmet need for FP. Having more children (AOR = 2.11, 95% CI 1.67–2.65) and better awareness of the husband about the availability of FP services (AOR = 1.22, 95% CI 1.01–1.48) were associated with a higher likelihood of an unmet need for FP.

Conclusion

The unmet need for family planning is high in rural Ethiopia in general and among women who do not have exposure to HEP packages in particular. Assigning a better-qualified health worker at the health post, reaching out to pastoralist women, maximizing opportunities to counsel rural women about FP during any contact with HEWs, and increasing positive attitudes of husbands towards FP use are likely to have positive impacts in reducing the unmet need for FP of rural women.

Plain language summary

Family planning is a method that couples can use to limit the number of child or space the gap. Unmet need for family planning is defined as the percentage of reproductive age women who wants to space or limit the number of children but not currently using any family planning method. There is a huge proportion of eligible women have an unmet need for family planning in Ethiopia. The health extension program is one of the strategies to reach rural women to improve the health of the community. Although, family planning service is one of the packages in a health extension program and this study aimed to estimate the role of health extension program in reducing unmet need for family planning. About 4991 married women were asked about the family planning use, need and the place where they get the services. During the assessment the role of health extension program was assessed by different question. Some of the major assessment areas were women exposer to service, service availability, awareness and mode of service delivery. One fourth of the women have unmet need for family planning. The family planning utilization is still low. The contribution of the health extension program in family planning service is significant. Women exposed to HEP through level 4 health extension worker and older age are significantly associated with low level of unmet need FP. The unmet need for family planning is high in rural Ethiopia. This will inform the improvement and sustainability of the program.

Peer Review reports

Background

United Nations Sustainable Development Goals (SDGs) have targeted universal access to reproductive health services including provision of family planning (FP) methods [1]. In line with the global initiatives, Ethiopia is committed to promoting use of modern FP methods and has designed various strategies and policies to do so [2]. Ethiopia’s Federal Ministry of Health (FMOH) has set targets to reduce the unmet need for FP from 22 to 17% and to increase the contraceptive prevalence rate (CPR) from 41 to 55% by the end of 2029. Some of the efforts designed to encourage FP use [3] include provision of FP counseling by front line health workers including Health Extension Workers (HEWs).

Since 2003, the Ethiopian government has been engaged in promotion of access to basic health services to increase geographical accessibility of health services through the Health Extension Program (HEP) [4]. The frontline HEWs are responsible for providing basic health services including counseling of reproductive age women on fertility and use of modern contraceptive methods. With the ambitious 10-year Health Sector Transformation Plan-II that ends in 2029, and the urban–rural disparity that exists, the HEP is expected to play a key role in improving CPR, increasing demand for FP and reducing unmet need for FP. Unmet need for FP is defined as women who are fecund and sexually active but are not using any method of contraception, and report not wanting any more children or wanting to delay the birth of their next child for at least 2 years [5, 6]. This health indicator provides information on the gap between women’s intention to use FP and actual use of FP [7]. It is believed that the unmet need for FP can be reduced through providing FP in the primary health care setting through HEWs.

The implementation of FP in the primary health care setting was intended to increase access to FP options and contraceptive use among rural women [8]. The evidence shows that there is an increase of CPR and a decrease in unmet need for FP over time [9]. However, the current CPR among all women in rural Ethiopia (38.2%) and unmet need for FP among married rural women (24.4%) is not in line with the targets of the Health Sector Transformation Plan-II [9, 10]. Studies conducted in different parts of Ethiopia indicated that HEWs have an important role in providing maternal and child health services [11,12,13]. Despite this evidence, there is no national level evidence that shows the extent to which services from HEWs result in increased FP use. Such evidence will have significant value in informing policy makers who must decide whether to expand or maintain existing strategies and whether to expand the lessons to other pressing public health issues.

Furthermore, there is still a high level of unmet need for FP (22%) in Ethiopia [9, 14,15,16] which is higher among rural women than among urban women [17, 18]. However, there is limited information to quantitatively substantiate the level of unmet need in rural settings where the majority of people of the country reside with many challenges. Although HEP coverage has expanded, studies in limited geographic areas of the country showed high demand for FP and low CPR, implying high unmet need for FP. The aim of this study is to estimate the role of HEP in reducing unmet need for FP among rural Ethiopian women.

Methods

Study settings and context

During data collection Ethiopia was administratively divided into nine regional states (i.e. Tigray, Afar, Amhara, Oromia, Somali, Benishangul-Gumuz, Gambela, Harari, and SNNPR) and two city administrations (i.e. Addis Ababa and Dire Dewa). Each region is divided into woreda and then each woreda is divided into kebele which are the lowest government administrative structures. The study covered all the nine regional states where the livelihood is agrarian or pastoralist. There are three tiers of health delivery systems in Ethiopia, namely, primary, secondary and tertiary levels. The primary level consists of primary healthcare units (health posts and health centers) and primary hospitals. Health posts are staffed primarily with two HEWs who are recruited based on nationally agreed criteria that include residence in the village, capacity to speak local language, graduation from 10th grade, and willingness to remain in the village and serve communities. The HEWs go through a year of training with both theoretical and practical components. The HEP, which is implemented at a grassroots level by HEWs, was originally designed to enhance the primary health services in rural areas through an innovative community-based approach that focuses on prevention, healthy living and basic curative care. Family planning is one of the 18 packages of HEP that is expected to be delivered by HEWs at the health post level [19].

Data source and study participants

Data used in this paper was extracted from a national rural HEP assessment which was conducted by MERQ consultancy PLC from October 2018 to September 2019. The assessment collected field data from March to May 2019. The assessment used multistage stratified sampling to select 62 districts or woredas from strata created by combining region with livelihood categories, three kebeles nested within each study woreda, and 34 households in each study kebele. The data was collected electronically using Open Data Kit (ODK). To develop this paper we extracted the data from married, rural, and aged 15–49 years from the national rural HEP assessment data base [20].

Measurements

Outcome variable

The primary outcome variable is an unmet need for family planning. It is defined as “the proportion of women who (1) are not pregnant and not postpartum amenorrhoeic and are considered fecund and want to postpone their next birth for 2 or more years or stop childbearing altogether but are not using a contraceptive method, or (2) have a mistimed or unwanted current pregnancy, or (3) are postpartum amenorrhoeic and their last birth in the last 2 years was mistimed or unwanted.” [6, 21].

Primary exposure variable

Our primary variable of interest is exposure of women to FP services through HEP. It is a composite variable defined using five items, namely, whether a woman: (1) was aware of the presence of FP services in the health post, (2) received a home visit by a HEW in the last 1 year, (3) received FP education at home by the HEWs, (4) visited a health post in the last 1 year, and (5) received any counselling about FP. The response for each question was either yes or no. If a woman responded “yes” to at least one of the above five items, it was considered as “having exposure to FP service through HEP” and if a woman responded “no” to all of the five items then she was categorized as “not having exposure to FP service through HEP”.

Other covariates

Covariates include sociodemographic variables such as a woman’s age, number of children in the household, wealth index of the household (categorized into five categories as “Lowest quantile, lower quantile, middle quantile, higher quantile, and highest quantile”), maternal educational status (categorized into “no formal education” and “attend formal education”), a woman’s knowledge about FP, and livelihood (categorized as agrarian for a main livelihood of growing crops/farming or pastoralist for a main livelihood of livestock farming). Other covariates (further described below) were availability of health workers, the health post’s readiness for FP services, the qualifications of health workers at the health post, and women’s awareness about FPs.

Health post readiness for FP service

This variable was computed from the responses given to the following variables (a) availability of contraceptives supply and equipment in the health post and, (b) availability of FP services in the health post. The allowable response for each of the composite variables was yes or no. A health post was categorized as a “ready health post” for FP services if it had a response of “yes” for the two items. A health post was categorized as “not ready” if it received a “no” response for either item.

Qualification of health workers assigned to work at health post

This variable was measured by reviewing the professional qualifications of HEWs at the health post at the time of data collection. The response was categorized in to three levels, namely, level III HEWs (basic skills to provide services at a health post), level IV HEWs (1 year additional course after graduation of level III) and clinical nurse or midwife. We used the label “level III HEWs” for health posts who have level III HEWs as the maximum qualification. If the health post has at least one level IV HEW we categorized it as “level IV”. Health posts that have either clinical nurse/nurse or midwife were labelled as “clinical nurse or midwife”.

Women’s knowledge of modern FP

Knowledge of women about FP was collected by asking the woman if she had heard about a total of nine modern FP methods (male condom, female condom, implants, IUCD, female sterilization, male sterilization, injectable, pills and Lactational Amenorrhea Method (LAM)). The response categories for each question were either 0(no) or 1(yes). Finally, the responses on the nine questions were summed to create one continuous variable that measures knowledge of married women on modern FP.

Number of children

This variable document the number of living children the woman had during the data collection time. During data analysis it was coded in to three categories: ‘1–2’, ‘3–4’ and ‘5 or more’.

Data quality assurance

Intensive training that lasted for 10 days was given for data collectors and their supervisors. In addition, regular supervision at the field during data collection was done to ensure data completeness and consistency of data. All possible data checking rules and logical checks were also implemented in the electronic data capturing template.

Data analysis

Electronically collected data were exported to STATA version 15 for analysis. The complex nature of sampling and unequal probability of recruiting study participants were addressed by using weighting in every analysis. Descriptive statistics (frequencies and percentages) were used to summarize categorical variables, and mean with standard deviation was used to summarize continuous variables. Logistic regression was used to model the unmet need for FP and to investigate the effect of HEP. Unadjusted and adjusted odds ratios (OR) and a 95% confidence interval (CI) around the estimates were reported as measures of effect.

Results

Out of 4991 eligible study participants, the majority were in the age range of 21–34 years, the mean age was 31 years (SD = 8), and the majority had no formal education (63.69%) (Table 1).

Table 1 Sociodemographic characteristics of study participants in Ethiopia, 2020
Full size table

Family planning service utilization, unmet need and demand

The overall unmet need for FP among married women was 22.41%, the contraceptive prevalence rate (CPR) was 44.60% and total demand for FP was 60.86%. Women living in pastoralist settings had higher unmet needs (31.1%) and lower demand for FP (41.6%) compared to those in agrarian settings (Fig. 1). Unmet need is higher in Somali and Gambela compared to the other regions. Demand for FP was higher in the Amhara, Oromia and Beshagul-Gumuz regions (Fig. 2).

Fig. 1
figure 1

Unmet needs for family planning (FP), contraceptive prevalence rate (CPR) and demand for FP of married rural women aged 15–49 years by livelihood in Ethiopia, 2020

Full size image
Fig. 2
figure 2

Unmet need for family planning, married women aged 15–49 by region in Ethiopia, 2020

Full size image

Exposure to HEP and health post readiness for family planning services

A very large proportion of study participants (92.5%) had exposure to FP services through HEP/HEWs, 64.0% of catchment health posts had level IV HEWs and 92.0% of the health posts were ready to provide FP services (Table 2).

Table 2 Health post readiness for family planning (FP) services and exposure of women to health extension plan (HEP) FP services in Ethiopia, 2020
Full size table

Women who had been exposed to HEP had lower levels of unmet need (4.82%), higher demand for FP (37.78%) and higher CPR (24.9%) compared to women with no exposure to HEP (Fig. 3).

Fig. 3
figure 3

Percentage of married rural women aged 15–49 years exposed to Health Extension Plan services (HEP) with unmet needs for family planning (FP), demand for FP, and contraceptive prevalence rate, Ethiopia, 2020. WDA Woreda Development Army, SMC Social Mobilization Committee, TV Television, HEW Health Extension Worker

Full size image

Knowledge of FP, current contraceptive use and reason for non-use of FP

Among the study participant women, 87% knew at least one modern FP method. The best-known modern contraceptive methods were injectables (84.4%) followed by pills (75.5%). The least known FP methods were male sterilization (10.5%) and emergency contraceptives (14.1%). HEWs are the primary source of information about FP for married women (60.6%) (Fig. 4).

Fig. 4
figure 4

Primary sources of family planning information for married rural women in Ethiopia, 2020. FS Female sterilization

Full size image

The most commonly used modern contraceptive method was injectables (64.8%%) followed by implants (28.4%) (Fig. 5). The common reasons for not using contraceptives were being currently breast feeding (20.65%), not being allowed to use contraceptives by the religion of the respondent (16.4%) and fear of side effects (8.9%).

Fig. 5
figure 5

Methods of modern contraceptive used by married rural women in Ethiopia, 2020

Full size image

Association of characteristics of women and unmet need for family planning

In the fully adjusted model women who had an exposure to HEP had 54% reduced odds of having an unmet need for FP compared to women who were not exposed to HEP (AOR = 0.46, 95% CI 0.37–0.59). Women living in catchment health post with level IV HEWs had 20% reduced odds of having an unmet need for FP compared to women who accessed health posts staffed with HEWs with a highest qualification of level III (AOR = 0.80, 95% CI 0.67–0.95), respectively. As the age of the women increases by 1 year the odds of unmet need decrease by 2% (AOR = 0.98, 95% CI 0.97–0.99). The odds of having an unmet need for FP for women whose household wealth status was in the highest quantile was 0.5% less compared to women whose household wealth index was in the lowest quantile. Women who had the highest numbers of living children (> 5) had 2 times increased odds of having an unmet need for FP compared to women who had 1–2 children (AOR = 2.11, 95% CI 1.67–2.65). Younger age, lower wealth, more children and husband awareness about FP services were significantly associated with unmet need for FP (Table 3).

Table 3 Association of characteristics of study participants with unmet need for family planning in rural Ethiopia, 2020
Full size table

Discussion

Among rural married women in Ethiopia the unmet need for FP is high and the CPR is low compared to national goal. Most of the women have exposure to HEP/HEWs and most of the health posts were ready to provide FP services. Women who are exposed to HEP have lower levels of unmet need, and higher contraceptive utilization, as compared to women with no HEP exposure. Moreover, the presence of level IV HEWs at the health post significantly contributed to the reduction of local women’s unmet need for FP compared to women who lived in a catchment health post with no level IV HEWs.

As per the national strategic plan Ethiopia is supposed to increase CPR to 55% and to reduce the unmet need for FP to 17% by the end of 2029 [10]. However, the country is still behind the target even though it has progressed and strived to increase contraceptive utilization and to decrease unmet needs. In the last two decades contraceptive utilization increased from a very low base of 8% in 2000 to 44.6% as reported in this study [9, 22]. The current finding is in line with studies conducted in different parts of Ethiopia which range from CPR of 19.1% to 31.4% [17, 23]. In the 2016 Ethiopia Demographic and Health Survey unmet need for FP in rural Ethiopia was 25%, which is not significantly different from the current finding although the two studies have a 4 year difference [9]. The high unmet need for FP and low contraceptive utilization might be attributed to deep rooted cultural influences due to the dominance of husbands and to religiosity. The dominance of husbands combined with the very low literacy level of women results in lack of open discussion about FP within married couples. Moreover, deep rooted cultural influences in which the culture encourage the dominance of husbands, deter women from controlling their own reproductive health [24]. The hurdles in the health system make their own contributions to high unmet need and low FP services utilization in Ethiopia [25]. Poor readiness of health facilities and poor quality of FP services are the major supply side barriers to reducing unmet need for FP, although the majority of health posts in the current study were ready for FP services. Despite the presence of good progress in reducing unmet need and increasing FP use in Ethiopia, this progress is not yet accompanied by an increase in the quality of FP counseling [26, 27]. Efforts focused on rural women may have a significant impact in reducing unmet need for FP and reaching Ethiopia’s 2029 target.

The implementation of HEP was envisioned to have an important role in the improvement of maternal and child health services. Increasing CPR and decreasing unmet need for FP are major activities of the HEWs [13]. The current findings showed that exposure to HEP is significantly associated with reduced unmet need for FP. This is linked to the fact that HEWs create awareness and contribute to changing women’s’ attitudes about FP. Increased awareness and attitude change of women create a demand for FP, and make rural women understand the different types of FP options. In line with this finding, previous studies showed that HEWs have a positive role in improving FP services in different parts of Ethiopia [12, 13, 28]. The HEWs improve FP service provision through delivering of appropriate information about the different available services to the mothers at the community and household level [13]. These findings imply two things: (1) increasing the knowledge of women about FP is the best way to decrease unmet need and to increase FP use; (2) strengthening the outreach and home visits of the HEP contribute to decreasing unmet need for FP. Thus, good implementation of HEP has a significant role in decreasing the unmet need for FP among rural women.

Another important finding in the current study is that the presence of level IV HEWs at the health post contributed significantly to reducing the unmet need for FP. While the availability of HEWs in the health post and their provision of FP services is crucial to reduce unmet need and to increase FP use, having a better qualified health care providers like level IV HEWs has a positive impact on the provision of services. One study conducted elsewhere in Ethiopia showed that level IV HEWs have better knowledge and skill in performing long acting FP methods than level III HEWs, which allows the level IV HEWs to make available more options of FP methods for their clients [29]. Thus, strengthening the capacity of HEWs by upgrading their qualifications has the potential for creating favorable ground for married women to get more options of FP methods [30], to decrease unmet need, and to increase FP use.

Conclusion

The current study shows that unmet need for FP among women in rural Ethiopia is high and contraceptive service use is low as compared to the 2029 national target. Exposure of women to HEP through different platforms, having level IV HEWs at health posts, women being relatively older, women having a smaller number of children, and women having a higher household wealth index are associated with a reduced level of unmet need for FP. Coordinated activity is needed to increase the total demand for FP. Upgrading the qualifications of HEWs at health posts would be vital to reducing the unmet need for FP. Addressing basic socio-demographic variables (such as promoting educational attainment and increased household wealth) among married women would also help to reduce the unmet need for FP and increase total demand for FP.

Strength and limitation

One of the strengths of the paper our use of nationally representative survey to extract data from which the findings reported in this paper are generated. However, there are number of limitations that any reader should have in mind while interpreting the findings. This paper has used data collected using a cross-sectional study design and temporal relations could not be established for the observed associations. Some of the study findings might have been affected by recall bias because the data was dependent on the retrospective recall of mothers. More over possibility of social desirability bias cannot be ignored. We might have missed to assess other influential factors that have a potential to reduce unmet need for family planning.

Availability of data and materials

Data will be available upon request to the corresponding author.

Abbreviations

AOR:

Adjusted odds ratio

CI:

Confidence interval

CPR:

Contraceptive prevalence rate

EPHI:

Ethiopian Public Health Institute

FMOH:

Federal Minster of Health

FP:

Family planning

HEP:

Health extension program

HEW:

Health Extension Workers

IRB:

Institutional Review Board

MERQ:

Monitoring Evaluation Research and Quality improvement

OR:

Odds ratio

SDG:

Sustainable Development Goals

SNNPR:

South Nation Nationality and People’s Region

References

  1. United Nations. The sustainable development goals report 2016. Sustain Dev Goals Rep 2016. 2016.

  2. Federal Minster of Health (FMOH). National strategy for newborn and child survival in Ethiopia, Addis Ababa, Ethiopia. 2015;(June 2015).

  3. Federal Minister of Health (FMOH). Health sector transformation plan (HSTP). Addis Ababa: Federal Minister of Health; 2014.

    Google Scholar 

  4. Wang H, Tesfaye R, Ramana NVG, Chekagn CT. Ethiopia Health extension program: an institutionalized community approach for Universal Health Coverage. Washington, DC: World Bank; 2016.

    Book  Google Scholar 

  5. United Nations. World contraceptive use, 2014. United Nations, Dep Econ Soc Aff Popul Div (POP/DB/CP/Rev2014). 2014;1–3. http://measuredhs.com/Topics/Unmet-Need.cfm.

  6. Croft TN, Marshal AMJ, Allen CK, et al. Guide to DHS statistics. Rockvile: ICF; 2018.

    Google Scholar 

  7. Darroch JE, Singh S. Trends in contraceptive need and use in developing countries in 2003, 2008, and 2012: an analysis of national surveys. Lancet. 2007;24(October):149–54.

    Google Scholar 

  8. Tilahun Y, Lew C, Belayihun B, Hagos KL, Asnake M. Improving contraceptive access, use, and method mix by task sharing implanon insertion to frontline health workers: the experience of the integrated family health program in Ethiopia. Glob Health Sci Pract. 2017;5(4):592–602.

    Article  Google Scholar 

  9. EDHS. Central Statistical Agency (CSA) [Ethiopia] and ICF. Ethiopia demographic and health survey 2016. 2016.

  10. Federal Minster of Health (FMOH). Health sector transformation plan (HSTP) II. Addis Ababa: Federal Minster of Health; 2020.

    Google Scholar 

  11. Desta SH, Basha SY. The role of health extension workers in primary health care in AsgedeTsi’mbla District: a case of Lim’at T’abya health post. Int J Soc Sci Manag. 2017;4(4):248–66.

    Google Scholar 

  12. Medhanyie A, Spigt M, Kifle Y, Schaay N, Sanders D, Blanco R, et al. The role of health extension workers in improving utilization of maternal health services in rural areas in Ethiopia: a cross sectional study. BMC Health Serv Res. 2012;12(1):352.

    Article  Google Scholar 

  13. Negussie A, Girma G. Is the role of Health Extension Workers in the delivery of maternal and child health care services a significant attribute? The case of Dale district, southern Ethiopia. BMC Health Serv Res. 2017;17(1):1–8.

    Article  Google Scholar 

  14. Central Statistical Agency (CSA). Ethiopia Demographic and health survey. Health San Fr. 2005;(March):1–5. http://www.measuredhs.com/pubs/pub_details.cfm?ID=596&srchTp=type%5Cn. http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Ethiopia+Demographic+and+Health+Survey#4

  15. Ethiopia CSA [Ethiopia] and II 2012. Ethiopia demographic and health survey 2011. Addis Ababa: USA Cent Stat Agency ICF Int; 2011.

    Google Scholar 

  16. Central Statistical Agency (CSA) and ICF. Ethiopia demographic and health survey. USA Cent Stat Agency ICF Int: Addis Ababa; 2000.

    Google Scholar 

  17. Tadele A, Abebaw D, Ali R. Predictors of unmet need for family planning among all women of reproductive age in Ethiopia. Contracept Reprod Med. 2019;4(1):1–9.

    Article  Google Scholar 

  18. Lakew Y, Reda AA, Tamene H, Benedict S, Deribe K. Geographical variation and factors influencing modern contraceptive use among married women in Ethiopia: evidence from a national population based survey. Reprod Health. 2013;10(1):1.

    Article  Google Scholar 

  19. FMOH. Health indicators 2011. Healthc Q. 2011;14(3):92.

    Article  Google Scholar 

  20. FMOH and MERQ consultancy PLC. National assessment of the Ethiopian health extension program. Addis Ababa: MERQ Consultancy PL; 2020.

    Google Scholar 

  21. Central Statistical Agency (CSA) and ICF. Ethiopia demographic and health survey 2016. Addis Ababa: Central Statistical Agency; 2016.

    Google Scholar 

  22. Assefa Y, Gelaw YA, Hill PS, Taye BW, Van Damme W. Community health extension program of Ethiopia, 2003–2018: successes and challenges toward universal coverage for primary healthcare services. Glob Health. 2019;15(1):1–11.

    Article  Google Scholar 

  23. Getaneh T, Negesse A, Dessie G, Desta M, Moltot T. Predictors of unmet need for family planning in Ethiopia 2019: a systematic review and meta analysis. Arch Public Health. 2020;78(1):1–11.

    Article  Google Scholar 

  24. Gonie A, Wudneh A, Nigatu D, Dendir Z. Determinants of family planning use among married women in bale eco-region, Southeast Ethiopia: a community based study. BMC Womens Health. 2018;18(1):1–10.

    Article  Google Scholar 

  25. Ayele W, Tesfaye H, Gebreyes R, Gebreselassie T. Trends and determinants of unmet need for family planning and programme options, Ethiopia. Further analysis of the 2000, 2005, and 2011 demographic and health surveys. J Chem Inf Model. 2013;1–32. https://www.dhsprogram.com/pubs/pdf/FA81/FA81.pdf.

  26. FMoH Ethiopia. Assessment, Ethiopia: services availability and readiness assessment summary report Ethiopia Service availability and readiness. 2014;1–126. http://www.ephi.gov.et.

  27. Hrusa G, Spigt M, Dejene T, Shiferaw S. Quality of family planning counseling in Ethiopia: trends and determinants of information received by female modern contraceptive users, evidence from national survey data, (2014–2018). PLoS ONE. 2020;15(2):1–18.

    Article  Google Scholar 

  28. Gebrehiwot TG, Sebastian MS, Edin K, Goicolea I. The Health Extension Program and its association with change in utilization of selected maternal health services in tigray region, Ethiopia: a segmented linear regression analysis. PLoS ONE. 2015;10(7):1–15.

    Article  Google Scholar 

  29. Teklu A, Yimam H, Medhin G, Tesfay TG. Competency of level-4 health extension workers to provide long acting reversible contraceptives: a task shifting initiative in Ethiopia. 2019;1–15.

  30. Appleford G, Cole C, Ayenekulu M, Newport S, Mulhern E. Get Smart: learning and partnership with Ethiopia’s Health Extension Programme to re-envision contraceptive service delivery to young couples. Gates Open Res. 2019;3:1–14.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are very grateful to the Bill and Melinda Gates Foundations for fully funding this research and to MERQ Consultancy PLC for supporting us to develop a manuscript. We would like to acknowledge all MERQ teams, the study participants and data collectors as well.

Pre-Publication Support Service (PREPSS) supported the development of this manuscript by providing pre-publication peer-review and copy editing.

Funding

The source of funding for this project was the Bill and Melinda Gates Foundation and MERQ Consultancy PLC.

Author information

Authors and Affiliations

  1. MERQ Consultant PLC, Addis Ababa, Ethiopia

    Daniel Tadesse, Girmay Medhin, Setegn Tigabu & Alula M. Teklu

  2. Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia

    Girmay Medhin

  3. International Institute for Primary Health Care-Ethiopia (IIfPHC-E), Addis Ababa, Ethiopia

    Getnet M. Kassie

  4. School of Public Health, Hawassa University, Hawassa, Ethiopia

    Tegene Legese Dadi

  5. WHO Collaborating Centre for Mental Health Research and Capacity Building, Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia

    Mekdes Demissie

  6. School of Nursing and Midwifery, College of Health Sciences and Medicine, Haramaya University, Haramaya, Ethiopia

    Mekdes Demissie

  7. School of Public Health, Mekele University, Mekele, Ethiopia

    Mussie Alemayehu

  8. Department of Epidemiology, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia

    Mulusew J. Gerbaba

  9. Federal Ministry of Health, Addis Ababa, Ethiopia

    Bisrat F. Denberu

Authors
  1. Daniel Tadesse
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Girmay Medhin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Getnet M. Kassie
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tegene Legese Dadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Setegn Tigabu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mekdes Demissie
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Mussie Alemayehu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Mulusew J. Gerbaba
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Bisrat F. Denberu
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Alula M. Teklu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

AMT conceptualized the idea of HEP assessment and reviewed the manuscript idea before embarking on the manuscript write-up. DT conceived the idea covered in the paper, lead the data analysis, interpretation of the findings and drafted the manuscript. GM, GMK, mentored the data analysis, interpretation of the findings and write-up of the manuscript. MJG, TLD, MD, ST, MA, BFD, contributed to the data analysis and interpretation of the findings. All co-authors critically reviewed the drafted manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Daniel Tadesse.

Ethics declarations

Ethics approval and consent to participate

We obtained Ethical Clearance from the Institutional Review Board (IRB) of EPHI (Ethiopian Public Health Institute) (Reference number EPHI-1613/820). Our study used data from the National Assessment of the Ethiopian Health Extension Program. Assessment participants were informed about the purpose of the assessment, potential risks, and benefits of participation in the assessment. Information was given to the participants to enable them to understand that participation is on a voluntary basis, that they have the right not to participate in the assessment, and that they can withdraw at any point during the data collection process. Finally, consent was solicited from all participants before the commencement of the assessment interview.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have 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

Verify currency and authenticity via CrossMark

Cite this article

Tadesse, D., Medhin, G., Kassie, G.M. et al. Unmet need for family planning among rural married women in Ethiopia: What is the role of the health extension program in reducing unmet need?. Reprod Health 19, 15 (2022). https://doi.org/10.1186/s12978-022-01324-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12978-022-01324-x

Keywords

  • Unmet need
  • Family planning
  • Health extension program
  • Rural Ethiopia
  • Women

Reproductive Health

ISSN: 1742-4755