Malaria Indicator Survey 2016
Sierra Leone, 2016
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SLE_2016_MIS_v01_M
Malaria Indicator Survey 2016
| Name | Country code |
|---|---|
| Sierra Leone | SLE |
Demographic and Health Survey, MIS
The 2016 Sierra Leone Malaria Indicator Survey (SLMIS) is the second MIS conducted in Sierra Leone. The first MIS was conducted in 2003.
Sample survey data [ssd]
- Household
- Individual
- Children age 0-5
- Woman age 15-49
Scope
The 2016 Sierra Leone Malaria Indicator Survey covered the following topics:
HOUSEHOLD
• Identification
• Usual members and visitors in the selected households
• Background information on each person listed, such as relationship to head of the household, age, and sex
• Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, type of fuel used for cooking, number of rooms, ownsership of livestock, access to electricity, possessions of durable goods, mosquito nets, and main material for the floor, roof and walls of the dwelling.
INDIVIDUAL WOMAN
• Identification
• Respondent's background
• Reproduction
• Pregnancy and intermittent preventive treatment
• Fever in children
• Knowledge of Malaria
BIOMARKER
• Identification
• Hemoglobin measurement and malaria testing for children age 0-5
Coverage
National coverage
The survey covered all de jure household members (usual residents), women age 15-49 years and children age 6-59 months resident in the household.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Malaria Control Programme (NMCP) | Ministry of Health and Sanitation (MoHS), Government of Sierra Leome |
| Name | Affiliation | Role |
|---|---|---|
| Catholic Relief Services | Collaborated in the implementation of the study | |
| College of Medicine and Allied Health Sciences University of Sierra Leone | Government of Sierra Leone | Collaborated in the implementation of the study |
| Statistics Sierra Leone | Government of Sierra Leone | Collaborated in the implementation of the study |
| ICF | The DHS Program | Provided technical assistance |
| Name | Role |
|---|---|
| Government of Sierra Leone | Funded the study |
| Global Fund | Funded the study |
| World Health Organization | Funded the study |
| United Nation Children’s Fund | Funded the study |
Sampling
The 2016 SLMIS followed a two-stage sample design and was intended to allow estimates of key indicators for the following domains:
• National
• Urban and rural areas
• Four regions: Northern, Southern, Eastern and Western
• Fourteen administrative districts: Bo, Bombali, Bonthe, Kailahun, Kambia, Kenema, Koinadugu, Kono, Moyamba, Port Loko, Pujehun, Tonkolili, Western Area Rural, and Western Area Urban.
Data was disaggregated by district because the health system is managed by district.
The first stage of sampling involved selecting sample points (clusters) from the sampling frame. Enumeration areas (EAs) delineated by Statistics Sierra Leone for the 2015 Sierra Leone Population and Housing Census (SLPHC) were used as the sampling frame (SSL 2016). A total of 336 clusters were selected with probability proportional to size from the 12,856 EAs covered in the 2015 SLPHC. Of these clusters, 99 were in urban areas and 237 in rural areas. Urban areas were oversampled within regions in order to produce robust estimates for that domain.
The second stage of sampling involved systematic selection of households. A household listing operation was undertaken in all of the selected EAs in May 2016, and households to be included in the survey were randomly selected from these lists. Twenty households were selected from each EA, for a total sample size of 6,720 households
For further details on sample design, see Appendix A of the final report.
A total of of the 6,720 households selected for the sample, 6,719 were occupied at the time of fieldwork. Among the occupied households, 6,719 were successfully interviewed, yielding a total household response rate of nearly 100%. In the interviewed households, 8,526 eligible women were identified to be eligible for individual interview and 8,501 were successfully interviewed, yielding a response rate of 99.7%.
A spreadsheet containing all of the sampling parameters and selection probabilities was constructed to facilitate the calculation of sampling weights. Household sampling weights and individual sampling weights were obtained by adjusting the above-calculated weight to compensate for household nonresponse and individual nonresponse, respectively. These weights were further normalized at the national level to produce equal numbers of unweighted and weighted cases for both households and individuals. The normalized weights are valid for estimations of proportions and means at any aggregation level but are not valid for estimations of totals.
For further details on sampling weights, see Appendix A.4 of the final report.
Survey instrument
Three questionnaires—the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire—were used for the 2016 SLMIS. Core questionnaires available from the RBM-MERG were adapted to reflect the population and health issues relevant to Sierra Leone. The modifications were decided upon at a series of meetings with various stakeholders from the National Malaria Control Programme (NMCP) and other government ministries and agencies, nongovernmental organisations, and international donors. The questionnaires were in English, and they were programmed onto tablet computers, enabling use of computer-assisted personal interviewing (CAPI) for the survey.
Data collection
| Start | End |
|---|---|
| 2016-06-29 | 2016-08-04 |
| Name | Affiliation |
|---|---|
| National Malaria Control Programme | Ministry of Health and Sanitation (MoHS), Government of Sierra Leome |
Twenty-eight teams were organised for field data collection. Each team consisted of one field supervisor, one health professional to interview and administer treatment, one experienced survey implementer with map reading skills, one laboratory technician to conduct biomarker testing, and one driver. The field staff also included 14 district coordinators and 14 district runners who collected slides from the field teams and delivered them to the COMHAS-USL laboratory at Jui.
The CRS arranged for printing of questionnaires, manuals, consent forms, brochures, and other field forms. CRS organised field supplies such as backpacks and identification cards. CRS and SSL coordinated the fieldwork logistics.
Field data collection for the 2016 SLMIS started on 27 June 2016. For maximum supervision, all 28 teams were visited by national monitors, largely members of the technical working group, at least once in every week. Fieldwork was completed on 4 August 2016.
Data processing
Data for the 2016 SLMIS were collected through questionnaires programmed onto the CAPI application. The CAPI were programmed by ICF and loaded with the Household, Biomarker, and Woman’s Questionnaires. Using the cloud, the field supervisors transferred data on a daily basis to a central location for data processing at CRS in Freetown. To facilitate communication and monitoring, each field worker was assigned a unique identification number.
ICF provided technical assistance for processing the data using Censuses and Surveys Processing (CSPro) system for data editing, cleaning, weighting, and tabulation. In the CRS central office, data received from the field teams’ CAPI applications were registered and checked against any inconsistencies and outliers. Data editing and cleaning included an extensive range of structural and internal consistency checks.
Data appraisal
Detailed description of estimates of sampling errors are presented in Appendix B of the survey report.
Data Quality Tables
- Household age distribution
- Age distribution of eligible and interviewed women
- Completeness of reporting
- Births by calendar years
Note: See details of the data quality tables in Appendix C of the final report.
Data Access
| Name | URL | |
|---|---|---|
| The DHS Program | http://www.DHSprogram.com | archive@dhsprogram.com |
Request Dataset Access
The following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV).
To request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data.
The requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted.
DATASET ACCESS APPROVAL PROCESS
Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.
Required Information
A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.
Restricted Datasets
A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request.
When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP.
GPS/HIV Datasets/Other Biomarkers
Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.
Dataset Terms of Use
Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy.
Download Datasets
Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Information about The DHS Program | The DHS Program | reports@DHSprogram.com | http://www.DHSprogram.com |
| General Inquiries | The DHS Program | info@dhsprogram.com | http://www.DHSprogram.com |
| Data and Data Related Resources | The DHS Program | archive@dhsprogram.com | http://www.DHSprogram.com |
Metadata production
DDI_SLE_2016_MIS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Metadata preparation |
2017-10-10
Metadata version
Version 01 (October 2017). Metadata is excerpted from "Sierra Leone Malaria Indicator Survey 2016" Report.