SNAPSHOT OF INDICATORS
Summary of the sample design for PMA2014/Ghana-R3:
PMA2020 uses a two-stage cluster design with residential area (urban and rural) and regions as sampling domains. Within the strata, clusters were selected with probability proportional to size. The final sample of 100 EAs and 4,200 households is designed to generate national estimates of all women modern contraceptive prevalence rate (mCPR) with less than 2% margin of error and urban/rural estimates at less than 3% margin of error.
The table below provides a summary of key family planning indicators and their breakdown by background characteristics.
|All Women||Married Women|
|Contraceptive Prevalence Rate (CPR)||21.4||25.6|
|Modern Contraceptive Prevalence (mCPR)||18.1||21.3|
|Traditional Contraceptive Prevalence||3.4||4.3|
|Demand for Family Planning and Fertility Preferences:|
|Unmet need for family planning||22.9||34.0|
|Demand for family planning||44.3||59.6|
|Percent of women with demand satisfied by modern contraception||40.7||35.8|
|Percent of recent births, by intention|
|Wanted no more||10.4||9.4|
|Access, Equity, Quality and Choice:|
|Percent of users who chose their current method by themselves or jointly with a partner/provider||92.3||94.1|
|Percent of users who paid for family planning services||70.7||70.1|
|Method Information Index|
|Percent of current users who were informed about other methods||66.6||70.2|
|Percent of current users who were informed about side effects||52.2||57.5|
|Percent of current users who were told what to do if they experienced side effects||80.3||80.1|
|Percent of current users who would return and/or refer others to their provider||78.2||79.3|
|Percent of women receiving family planning information in the past 12 months||24.3||30.8|
The PMA2014/Ghana-R3 Survey in Detail
Round 1 Sample Design
In Ghana, survey resources allowed targeting a sample size of 100 enumeration areas (EAs) and a final sample size of 4,200 households. A total of 100 EAs were sampled throughout all regions in Ghana and selected from the Ghana Statistical Service’s master sampling frame. The primary sampling units for the survey were the EAs, created during the 2010 census. The EAs were selected systematically with probability proportional to size within urban and rural strata. The Ghana Statistical Service provided the selection probabilities for the PMA2020 sampled clusters which were used to construct sample weights.
In each selected EA, field supervisors randomly selected up to three private SDPs to be interviewed by a RE using the SDP questionnaire. The field supervisors themselves administered the service delivery point (SDP) questionnaires at an additional three public SDPs that serve each EA; the lowest, second-lowest, and third-lowest level public health facilities designated to serve each EA.
Round 3 Sample Update
All EAs were re-listed in Round 3 to update the household and SDP sample frame. Before data collection began at the household level, all households and key landmarks in each EA were listed and mapped by trained resident enumerators (REs) to create a sampling frame for the second stage of the sampling process. The mapping and listing process and data collection took place between September and December 2014.
Field supervisors randomly selected 42 households from the Round 3 listing frame using a random number-generating mobile-phone application. A household roster was completed and all eligible women age 15-49 in selected households were approached and asked to provide informed consent (and assent if aged 15-17 years) to participate in the study.
One EA was dropped in the final dataset prior to analysis due to data quality concerns.
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 three private SDPs are randomly selected in each round.
All PMA2020 questionnaires are administered using Open Data Kit software and Android smartphones. The PMA2014/Ghana-R2 questionnaires were in English on the phone and had to be translated into local languages 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 in each enumeration area administered the household questionnaire and female questionnaire in selected households.
The household questionnaire gathers basic information about the household, such as ownership of livestock and durable goods, as well as characteristics of the dwelling unit, including wall, floor and roof materials, water sources, and sanitation facilities. This information is used to construct a wealth quintile index.
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 water, sanitation 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 collected information about the provision and quality of reproductive health services and products, integration of health services, and WASH within the health facility.
Training, Data Collection and Processing
All participants received training in research ethics, comprehensive instruction on how to map and list households in EAs, and instruction on how to complete the household and female questionnaires using appropriate and ethical interview skills. In addition to PMA2020 survey training, all participants received training on contraceptive methods offered by a senior consultant at Komfo Anokye Teaching Hospital (KATH).
Supervisors received additional training prior to and after the RE training to further strengthen their supervision skills, including instruction on conducting re-interviews, carrying out random spot checks, and engaging communities through local leaders.
Data Collection and ProcessingData collection was conducted between February and May 2014. 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 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 KNUST 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 January.
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 12 software.
In the occupied households that provided an interview, a total of 4,689 eligible women aged 15 to 49 years were identified. Overall, 97.2% of the eligible women were available and consented to the interview. The female response rate was equitable between the rural (97.3%) and urban (97.1%) enumeration areas (EAs). Only de facto females are included in the PMA analyses; the final completed de facto female sample size was 4,556 (unweighted).
The final SDP sample included 241 facility interviews, of which 231 were completed for a response rate of 95.9%.
|Household response rate* (%)||95.5||97.4||96.4|
|Interviews with women age 15 to 49|
|Number of eligible women**||2,319||2,370||4,689|
|Number of eligible women interviewed||2,251||2,305||4,556|
|Eligible women response rate† (%)||97.1||97.3||97.2|
**Eligible women response rates include only women identified in completed household interviews
†Eligible women response rate = eligible women interviewed/eligible women
Sample Error Estimates
Kwame Nkrumah University of Science & Technology School of Medicine 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, PMA2014/Ghana-R3 Snapshot of Indicators. 2014. Ghana and Baltimore, Maryland, USA.