Households with eligible females of reproductive age (15-49 years) were contacted and consented for interviews. A total of 1,841 households (97.2% response rate), and 2,595 females (94.8% response rate), were completed an interview, along with 171 SDPs (93.4% response rate). Data collection for Round 5 was conducted between September and October 2016.
The sample was powered to generate Kinshasa specific estimates of all woman modern contraceptive prevalence rate (mCPR) with a less than 2% 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)||42.3||49.9|
|Modern Contraceptive Prevalence (mCPR)||20.9||23.4|
|Traditional Contraceptive Prevalence||21.4||26.5|
|Demand for Family Planning and Fertility Preferences:|
|Unmet need for family planning||14.6||22.6|
|Demand for family planning||56.8||72.5|
|Percent of all/married women with demand satisfied by modern contraception||36.7||32.3|
|Percent of recent births, by intention:|
|Wanted no more||8.2||7.6|
|Access, Equity, Quality and Choice|
|Percent of users who chose their current method by themselves or jointly with a partner/provider||93.2||94.1|
|Percent of users who paid for family planning services||53.8||51.1|
|Method Information Index:|
|Percent of current users who were informed about other methods||38.4||41.1|
|Percent of current users who were informed about side effects||40.2||48.1|
|Percent of current users who were told what to do if they experienced side effects||79.2||83.9|
|Percent of current users who would return and/or refer others to their provider||46.5||43.0|
|Percent of women receiving family planning information in the past 12 months||6.3||9.3|
The PMA2016 Kinshasa Round 5 Survey in Detail
Round 1 Sample Design
This first round of data collection occurred exclusively in Kinshasa. The project sampled 58 enumeration areas (EAs) to achieve a representative sample in Kinshasa. The EAs were selected systematically using probability proportional to size and were obtained from the National Statistical Institute.
Before data collection, all households, private service delivery points (SDPs) 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 sampling for households and private SDPs. The mapping and listing process took place the first week of data collection in each EA with the help of cartographers and supervisors.
Once households had been listed, field supervisors selected 30 households per EA, and a random start method was used to systematically select households. All members of the selected households were enumerated by the interviewers when completing household questionnaires, and from this household roster, all eligible women (aged 15-49) were approached and asked to provide informed consent to participate in the study. The same sample design was used for rounds one through four in Kinshasa.
Round 5 Sample Design
PMA2020/Kinshasa is led by the University of Kinshasa’s School of Public Health, in collaboration with Tulane University School of Public Health and Tropical Medicine. The first three rounds of PMA2020/DRC data collection occurred exclusively in Kinshasa. In Round 4, the PMA2020/DRC team expanded to cover Kongo Central, the province adjacent to Kinshasa. The project sampled 58 enumeration areas (EAs) to achieve a representative urban sample in Kinshasa. The EAs were selected systematically using probability proportional to size.
All women of reproductive age (ages 15-49) within each selected household were contacted and consented for interviews. Private and public service delivery points (SDP) who provide services to the EA were also interviewed. 1,841 households (97.2% response rate), and 2,582 de facto females (95.3% response rate), were interviewed, along with 173 SDPs (93.5% response rate). Data collection for Round 5 was conducted between September and October 2016.
The household questionnaire, the female questionnaire and the SDP questionnaire were based on model surveys designed by PMA2020 staff at the Bill & Melinda Gates Institute for Population and Reproductive Health of the Johns Hopkins Bloomberg School of Public Health, in collaboration with Tulane University School of Public Health and Tropical Medicine, and fieldwork materials of the DRC Demographic and Health Survey (DHS).
All PMA2020 questionnaires are administered using Open Data Kit (ODK) software installed on mobile phones (smartphones) using the Android operating system. In addition to French, keywords from the PMA2016/Kinshasa questions appeared on the phones in the main local languages. REs in each EA administered the household and female questionnaires in the selected households and the private SDP questionnaires. Field supervisors administered questionnaires at public SDPs.
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 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; and exposure to family planning messaging in the media.
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 SDP.
Training, Data Collection & Processing
All participants received training in research ethics, comprehensive instruction on how to map and list households in enumeration areas (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 by a physician specializing in reproductive health.
Throughout the trainings, REs and supervisors were evaluated based on their performance on several written and phone-based assessments, practical field exercises and class participation. As all questionnaires were completed on project smartphones, the training also familiarized participants with Open Data Kit (ODK) and smartphone use in general. All trainings included three days of practical exercises, during which participants entered a practice EA to conduct mapping and listing, and household, female and SDP interviews. All responses were captured on project smartphones, and submitted to a practice cloud server—a centralized data storage system. The RE trainings were conducted primarily in French, with small group discussions in local language to standardize orally the questionnaire translations in Lingala and other local languages in which the survey is administered.
Data Collection & ProcessingData collection was conducted between September and October 2016. 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 the Kinshasa School of Public Health and the data manager at Tulane University School of Public Health and Tropical Medicine 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 October.
Once all data were on the server, data analysts cleaned and de-identified the data, applied survey weights, and prepared the final dataset for analysis using Stata.
The final SDP sample included 183 facility interviews, of which 171 were completed for a response rate of 93.4%.
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.
|PMA2016/Kinshasa Round 5|
|Household response rate* (%)||97.2|
|Interviews with women age 15-49|
|Number of eligible women**||2,709|
|Number of eligible women interviewed||2,582|
|Eligible women response rate† (%)||95.3|
**Eligible women response rates include only women identified in completed household interviews
†Eligible women response rate = eligible women interviewed/eligible women
Sample Error Estimates
Tulane University School of Public Health, University of Kinshasa 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 5, PMA2016/DRC-R5 (Kinshasa) Snapshot of Indicators. 2016. Kinshasa, DRC and Baltimore, Maryland, USA.