SNAPSHOT OF INDICATORS
Summary of the sample design for PMA2015/Ethiopia-R3:
PMA2020/Ethiopia uses a two-stage cluster design with residential area (urban and rural) and sub-regions as strata, sampling across all 11 geographic regions in Ethiopia. 95% of the target population, women of reproductive age 15-49, reside in five regions (Addis Ababa, Amhara, Oromiya, SNNP and Tigray). Other regions with a total of less than 5% of the target population are allocated to a sixth synthetic region (referred to as “other”). Given the uneven population distribution and resource limitation, regional representative samples are only taken in the five regions (Addis Ababa, Amhara, Oromiya, SNNP and Tigray). The third round sample of 221 EAs and 7,735 households was designed to generate national estimates of modern contraceptive prevalence rate among all women with less than 2% margin of error, and urban/rural estimates at less than 3% margin of error, and less than 5% margin of error at each of the five regional levels.
The table below provides a summary of key family planning indicators and their breakdown by background characteristics. Disaggregation by administrative unit was done at the region level for the six regions (Addis Ababa, Amhara, Oromiya, SNNP, Tigray and other) due to small sample sizes when disaggregated by sub-region.
|All Women||Married Women|
|Contraceptive Prevalence Rate (CPR)||26.4||37.0|
|Modern Contraceptive Prevalence (mCPR)||25.6||35.8|
|Traditional Contraceptive Prevalence||0.8||1.2|
|Demand for Family Planning and Fertility Preferences:|
|Unmet need for family planning||16.5||24.4|
|Demand for family planning||43.0||61.4|
|Percent of all/married women with demand satisfied by modern contraception||59.7||58.3|
|Percent of recent births, by intention|
|Wanted no more||11.3||10.5|
|Access, Equity, Quality and Choice:|
|Percent of users who chose their current method by themselves or jointly with a partner/provider||85.6||84.9|
|Percent of users who paid for family planning services||23.4||22.0|
|Method Information Index|
|Percent of current users who were informed about other methods||62.1||63.3|
|Percent of current users who were informed about side effects||52.4||53.1|
|Percent of current users who were told what to do if they experienced side effects||83.6||84.8|
|Percent of current users who would return and/or refer others to their provider||76.4||77.0|
|Percent of women receiving family planning information in the past 12 months||21.3||25.5|
The PMA2015/Ethiopia-R3 Survey in Detail
Round 1 Sample Design
Survey resources allowed targeting a sample size of 200 enumeration areas (EAs) and a final sample size of approximately 7,000 households, selected by the Central Statistical Agency (CSA) master sampling frame, which was representative at the national and sub-regional levels for both urban and rural area. The primary sampling units for the survey were the EAs, which were selected systematically with probability proportional to size with urban/rural stratification in the nine regions and one administrative city (excluding Addis Ababa city, which is only urban). The rationale was for PMA2020 estimates to be comparable to the most recent national survey results. CSA provided the selection probabilities for the PMA2020 sampled clusters for constructing weights.
In each selected EA, field supervisors randomly selected up to three private SDPs to be interviewed by an RE using the service delivery point (SDP) questionnaire. The field supervisors themselves administered the SDP questionnaires at an additional three public SDPs that serve each EA; the lowest, second-lowest, and third-lowest level public health SDPs (health post, health center, and a district hospital) designated to serve each EA population.
Round 3 Sample Update
Data collection for Round 3 continued in the same 200 EAs selected in Round 1 and the additional 21 EAs. Mapping and listing was conducted for the newly selected EAs in Oromiya. For the original 200 EAs, mapping and listing was not repeated. 35 households were randomly selected by field supervisors using a phone-based random number-generating application. All occupants in selected households were enumerated and from this list, all eligible women age 15-49 were approached and asked to give informed consent to participate in the study.
The majority of SDPs are repeated in each round, forming a panel survey. If an EA had more than three private SDPs identified during the listing process, then a new sample of the private SDPs is selected during each round.
All PMA2020 questionnaires are administered using Open Data Kit (ODK) software and Android smartphones. The PMA2015/Ethiopia-R3 questionnaires were in English and could be switched into the three local languages (Amharic, Afan Oromiffa and Tigrigna) on the phone. The questionnaires were translated using available translations from similar population surveys and experts in translation. The interviews were conducted in the local language, or English in a few cases when the respondent was not comfortable with the local language. Female resident enumerators (REs) in each enumeration area (EA) administered the household and female questionnaires in the selected households.
The household questionnaire gathers basic information about the household, such as ownership of durable goods, as well as characteristics of the dwelling unit, including wall, floor, and roof material, water sources and sanitation facilities. This information is used to construct a wealth quintile.
The first section of the household questionnaire, the household roster, lists basic demographic information about all usual members of the household and visitors who stayed with the household the night before the interview. This roster is used to identify eligible respondents for the female questionnaire. In addition to the roster, the household questionnaire also gathers data that are used to measure key water, sanitation and hygiene (WASH) indicators, including regular sources and uses of WASH facilities used and prevalence of open defecation by household members.
The female questionnaire is used to collect information from all women age 15 to 49 who were listed on the household roster at selected households. The female questionnaire gathers specific information on education; fertility and fertility preferences; family planning access, choice and use; quality of family planning services; exposure to family planning messaging in the media; and the burden of collecting water on women.
The SDP questionnaire is used to collect information about the provision and quality of reproductive health services and products, integration of health services, and water and sanitation within the health facility.
Training, Data Collection & Processing
The REs and supervisors were evaluated based on their performance on phone-based assessments, practical field exercises for the SDP survey, and class participation. The RE trainings were conducted primarily in Amharic, whereas some small group sessions were conducted in Afan Oromiffa and Tigrigna.
Data Collection & ProcessingData collection was conducted April to May 2015. Unlike traditional paper-and-pencil surveys, PMA2020 uses Open Data Kit (ODK) Collect, an open-source software application, to collect data on mobile phones. All the questionnaires were programmed using this software and installed onto all project smartphones. The ODK questionnaire forms are programmed with automatic skip-patterns and built-in response constraints to reduce data entry errors.
The ODK application enabled REs and supervisors to collect and transfer survey data to a central ODK Aggregate cloud server. This instantaneous aggregation of data also allowed for concurrent data processing and course corrections while PMA2020 was still active in the field. Throughout data collection, central staff at Addis Ababa University School of Public Health in Addis Ababa and the data manager at the Gates Institute in Baltimore routinely monitored the incoming data and notified field staff of any potential errors, missing data or problems found with form submissions on the central server.
The use of mobile phones combined data collection and data entry into one step; therefore, data entry was completed when the last interview form was uploaded at the end of data collection in May.
Once all data were on the server, data analysts cleaned and de-identified the data, applied survey weights, and prepared the final data set for analysis using Stata® version 14 software. The national dissemination workshop of preliminary results was held on August 25th, 2016 at Elily Hotel Addis Ababa, Ethiopia.
In the occupied households that provided an interview, a total of 7,604 eligible women aged 15 to 49 years were identified. Overall, 99.2% of the eligible women were available and consented to the interview. The female response rate was similar in the rural (99.1%) relative to the urban (99.4%) EAs. Only de facto females are included in the PMA analyses; the final completed de facto female sample size was 7,545 (unweighted).
The final service delivery point (SDP) sample included 453 facility interviews, of which 445 were completed for a response rate of 98.2%.
Weights were adjusted for non-response at the household and individual levels and applied to all household and individual estimates in this report. SDP estimates are not weighted.
|Household response rate* (%)||99.1||99.4||99.2|
|Interviews with women age 15-49|
|Number of eligible women**||3,872||3,732||7,604|
|Number of eligible women interviewed||3,847||3,698||7,545|
|Eligible women response rate† (%)||99.4||99.1||99.2|
**Eligible women response rates include only women identified in completed household interviews
†Eligible women response rate = eligible women interviewed/eligible women
Sample Error Estimates
Addis Ababa University School of Public Health and The Bill & Melinda Gates Institute for Population and Reproductive Health at The Johns Hopkins Bloomberg School of Public Health. Performance Monitoring and Accountability 2020 (PMA2020) Survey Round 3, PMA2015/Ethiopia-R3 Snapshot of Indicators. 2015. Ethiopia and Baltimore, Maryland, USA.