SNAPSHOT OF INDICATORS
Summary of the sample design for PMA2014/Lagos (Nigeria)-R1:
Additional detail on sample design, data collection and processing, response rates, and standard errors are available below the indicator tables.
The PMA2014/Lagos-R1 Survey in Detail
For the first round of data collection in the Lagos state (PMA2014/Lagos), the sample was designed to provide state-level estimates without urban-rural stratification, since the state is predominantly urban, using a two-stage cluster design. First, the primary sampling unit were selected systematically with probability proportional to size. The master frame of Enumeration Areas (EAs) was based on the 2006 Nigerian population census. Census enumeration areas in Nigeria are on average 47 households in size. In order to obtain an enumeration area of approximately 200 households, a cluster of EAs was constructed – hereinafter referred to as EA cluster. An index enumeration area, along with a list of contiguous EAs and associated sampling probabilities, were provided by the National Population Commission (NPopC). Enumeration areas were combined into EA clusters - primary sampling units in Nigeria - and sampling probabilities were adjusted. A total of 37 EA clusters were selected in Lagos.
In each selected EA cluster, all households, health SDPs, and key landmarks in the EA cluster were listed and mapped by trained 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 October 2014. Mapping and listing took an average of 5 days for each EA cluster. Once listed, field supervisors systematically selected 35 households using a random number-generating mobile-phone application. All eligible women in selected households were approached and asked to provide informed consent to participate in the survey. Using this multistage sampling procedure and anticipated non-response rates, PMA2014/Lagos had a final sample size of 1,302 households and 864 eligible women. Weights were adjusted for non-response at the household and individual levels and applied to appropriate estimates in this report.
For the SDP survey, up to three private SDPs, including pharmacies, within each sampled EA cluster boundary were randomly selected from the listing. In addition, three public health SDPs—a health post, a health center, and a district hospital designated to serve the enumeration area population—were selected.
Training, Data Collection and Processing
Data Collection and Processing
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 CRERD in Lagos, and the data manager at the Gates Institute at Johns Hopkins in Baltimore, Maryland 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.
|Household response rate* (%)||79.0||--||79.0|
|Interviews with women age 15-49|
|Number of eligible women**||846||--||846|
|Number of eligible women interviewed||764||--||764|
|Eligible women response rate† (%)||90.3||--||90.3|
Sample Error Estimates
|Variable||Value[R]||Standard Error||Confidence Interval|
|All women age 15-49|
|Currently using a modern method||0.167||0.015||0.136||0.198|
|Currently using a traditional method||0.014||0.004||0.006||0.022|
|Currently using any contraceptive method||0.181||0.016||0.148||0.214|
|Currently using injectables||0.035||0.009||0.016||0.054|
|Currently using male condoms||0.066||0.011||0.044||0.088|
|Currently using implants||0.002||0.002||-0.001||0.005|
|Chose method by self or jointly in past 12 months||0.864||0.028||0.806||0.921|
|Paid fees for family planning services in past 12 months||0.497||0.061||0.373||0.620|
|Informed by provider about other methods||0.405||0.045||0.314||0.496|
|Informed by provider about side effects||0.252||0.046||0.158||0.345|
|Satisfied with provider: Would return and refer friend/relative to provider||0.612||0.049||0.511||0.712|
|Visited by health worker who talked about family planning in past 12 months||0.113||0.019||0.075||0.150|
|Women in union age 15-49|
|Currently using a modern method||0.197||0.021||0.155||0.240|
|Currently using a traditional method||0.015||0.006||0.004||0.026|
|Currently using any contraceptive modern method||0.213||0.022||0.169||0.257|
|Currently using injectables||0.052||0.015||0.022||0.081|
|Currently using male condoms||0.063||0.012||0.039||0.088|
|Currently using implants||0.003||0.002||-0.001||0.008|
|Chose method by self or jointly in past 12 months||0.887||0.030||0.825||0.948|
|Paid fees for family planning services in past 12 months||0.546||0.078||0.388||0.704|
|Informed by provider about other methods||0.465||0.053||0.358||0.573|
|Informed by provider about side effects||0.296||0.057||0.181||0.411|
|Satisfied with provider: Would return and refer friend/relative to provider||0.601||0.052||0.496||0.706|
|Visited by health worker who talked about family planning in past 12 months||0.145||0.029||0.087||0.205|
Centre for Population and Reproductive Health (CPRH), University of Ibadan; Centre for Research, Evaluation Resources and Development (CRERD); Population and Reproductive Health Program (PRHP), Obafemi Awolowo University (OAU); Bayero University Kano (BUK); 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 1, PMA2014/Nigeria-R1 (Lagos) Snapshot of Indicators. 2014. Nigeria and Baltimore, Maryland, USA.