BGD_2017_SPA_v01_M
Health Facility Survey 2017
Name | Country code |
---|---|
Bangladesh | BGD |
Service Provision Assessments [hh/spa]
The 2017 Bangladesh Health Facility Survey (2017 BHFS) is the fourth nationally representative sample health facility survey (follows the 2009, 2011 and 2014 BHFS surveys) implemented in Bangladesh by the National Institute of Population Research and Training (NIPORT) with technical assistance from ICF, USA. The survey was funded by the Government of Bangladesh and the United States Agency for International Development (USAID).
Sample survey data [ssd]
Health establishments, hospitals, health centers, health workers
The 2017 Bangladesh Health Facility Survey covered the following topics:
General information and service availability
General service readiness
Service-specific readiness
Health provider interview
Staff listing (health workers available on day of visit)
National coverage
Name | Affiliation |
---|---|
National Institute of Population Research and Training (NIPORT) | Government of Bangladesh |
Name | Affiliation | Role |
---|---|---|
ICF | The DHS Program | Provided technical assistance through the worldwide DHS Program |
Name |
---|
Government of Bangladesh |
United States Agency for International Development |
The sample for the 2017 Bangladesh Health Facility Survey (BHFS) was a stratified random sample of 1,600 health facilities designed to provide representative results for Bangladesh, for the different facility types and different management authorities, and for each of the eight divisions of the country. Stratification was achieved by separating the health facilities by facility type within each division. Implicit stratification by management authorities was achieved by sorting the frame based on the management authorities within each explicit sampling stratum before sample selection.
The sample for the 2017 BHFS covered all types of registered health facilities in all eight divisions of the country: Barisal, Chittagong, Dhaka, Khulna, Mymensingh, Rajshahi, Rangpur, and Sylhet. The survey was designed to report results separately for the eight divisions and the six types of public health facilities included: community clinics (CCs), union subcenters/rural dispensaries (USC/RDs), union health and family welfare centers (UHFWCs), upazila health complexes (UHCs), mother and child welfare centers (MCWCs), and district hospitals (DHs). Results are also reported separately for NGO clinics and hospitals and private hospitals. UHFWCs include regular FWCs and upgraded FWCs (UpFWCs).
For further details on sample selection, see Section 2.5 of the final report.
The 2017 BHFS used two types of data collection tools:
Both the Facility Inventory and Health Care Provider Interview questionnaires were loaded onto tablet computers and administered as computer-assisted personal interviews (CAPIs).
The Facility Inventory Questionnaire was organized into three modules:
The Health Care Provider Interview Questionnaire collected information from a sample of health service providers. The data included qualifications, training, experience, continuing education, supervision received, and perceptions of the service delivery environment.
Start | End |
---|---|
2017-07 | 2017-10 |
Name | Affiliation |
---|---|
Associates for Community and Population Research | Private research agency |
The main training for the 2017 BHFS was conducted from July 9-27, 2017, in Dhaka. Eighty enumerators were recruited for data collection (40 interviewers [sub-assistant community medical officers] and 40 team leaders [medical doctors]) and trained as interviewers in the application of survey instruments and computer programs.
After the training, 40 data collection teams with two interviewers were formed, with one interviewer on each team assigned to the role of team leader. Data collection was conducted from July to October 2017. On average, data collection took 1 day for each health facility.
Fieldwork supervision was coordinated by ACPR and NIPORT. The eleven medical doctor master trainers and seven trained data processing specialists formed the seven field supervision teams. The field supervision teams conducted periodic visits to their assigned data collection teams to review work and monitor data quality. Eight master trainers from icddr,b served as independent field monitors during data collection. In addition, supervisory teams and professionals from NIPORT periodically and simultaneously visited and monitored the data collection exercise.
The DHS Program
http://dhsprogram.com/data/available-datasets.cfm
Cost: None
Name | URL | |
---|---|---|
The DHS Program | https://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 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.
Name | Affiliation | |
---|---|---|
Information about The DHS Program | The DHS Program | reports@DHSprogram.com |
General Inquiries | The DHS Program | info@dhsprogram.com |
Data and Data Related Resources | The DHS Program | archive@dhsprogram.com |
DDI_BGD_2017_SPA_v01_M
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | World Bank Group | Documentation of the DDI |
2020-03-17
Version 01 (March 2020). Metadata is excerpted from "Bangladesh Health Facility Survey 2017" Report.
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