Category Archives: Video

15 May

Everything You Need to Know about DHS Data and More

So, you’re new to DHS and you’ve registered as a DHS data user, downloaded the free available datasets, but now what? We have the perfect resources to get you started.

The following videos provide an overview of DHS data answering key questions such as, what is a data file or dataset? What is the difference between De Jure and De Facto? What types of data files are available for download?

Starting with the Introduction to DHS Datasets, this video provides a guide to units of analysis, basic terminology, and DHS data files.

As mentioned in the video above, separate data files are created for different units of analysis. DHS Dataset Types in 60 Seconds runs through the most common data files and what they contain.

De Jure and De Facto are terms that you will see often within DHS reports and datasets. The following video breaks down what the terms mean, and how they apply to analyzing DHS data.

And finally, where is the information about interviewed households and individuals located in different data files? The Introduction to DHS Data Structure examines DHS datasets in a hierarchical structure.

We will have more videos released this summer, but for those who are still eager to learn more about DHS data, check out DHS Dataset Names Explained below.

 

21 Mar

7 Tips to Matching DHS Final Report Tables

Can't match DHS Final Report tables?
Feeling frustrated because you can’t match DHS Final Report tables in your statistical software?

 

Our new four-part video series shows the Top 7 Tips & Tricks for Matching DHS Final Report Tables.

In this four-part video series, we will be covering the top 7 tips and tricks to matching The DHS Program Final Reports using a statistical software program.

The videos will guide you through the following questions:

  1. Are you using the correct data file?
  2. Are you using the correct denominator of cases?
  3. Are you using the correct variable(s)?
  4. Are you properly recoding?
  5. Are you applying the correct weights?
  6. Are you selecting the correct software specific code?
  7. Are you properly coding the tabulation commands in your statistical program?

Watch the four videos in the series below on Matching DHS Final Report tables to get all the details on the top 7 tips and tricks.


Additional help can be found on our website and the User Forum.
10 Feb

Where Statistics are Beautiful

Hans Rosling created a world where “statistics are beautiful” and data are entertaining. The staff at The DHS Program have always believed these things to be true but found it difficult to convince the masses. And then came Gapminder and the juggernaut of Hans Rosling’s charismatic, informative, and perspective-changing data presentations.

The DHS Program was heartbroken to learn of Hans Rosling’s death earlier this week. DHS has enjoyed a long and enthusiastic relationship with Dr. Rosling. In 2009, The DHS Program and USAID had the honor of welcoming Dr. Rosling as our keynote speaker at the DHS 25th anniversary celebration in Washington, DC. What is particularly striking in watching the video again after 8 years, is the laughter. Before Hans Rosling, no one would have believed that a data presentation could be so engaging and witty while being so insightful.

In addition to being entertaining and informative, Dr. Rosling was exceptionally modest and gracious. He came to the DHS 25th anniversary event at his own cost, and credited USAID and DHS data with his own success. He thanked USAID and the US taxpayers saying, “Nothing in my career would have been possible without DHS data.”

But really we, at The DHS Program, owe Hans Rosling a tremendous debt of gratitude. Dr. Rosling was a great advocate not just for DHS data, but for all data. He understood, better than anyone else, that data are worthless unless they are used. And he succeeded in doing what many of us have attempted and failed:  he made data come alive.  He used the data to expose the many incorrect notions about development that even people working in the field have, and he did it with such unique charm and flair. His presentations inspired people to think in different ways and to take action.

To Hans Rosling’s family, we thank you for sharing Hans with the world, and for so willingly joining his mission to “edutain” us. All of us at The DHS Program mourn the loss of this warm, generous visionary. This week, more than ever, we commit to continue the work that Hans has started, and will be inspired by Hans Rosling’s leadership and ingenuity as we look for new ways to provide the world with actionable, understandable data.

21 Dec

Video: Best of DHS 2016

Take a look back at the highlights of The DHS Program from 2016…

The DHS Program welcomed several new staff members:


via GIPHY

The 2014 Lesotho DHS final report was released using a new final report format:


via GIPHY

Faster data, including the model datasets and bulk downloading of datasets using a download manager:


via GIPHY

French STATcompiler and Mobile App:


via GIPHY

Surveys, surveys, surveys:


via GIPHY

9 Regional Capacity Strengthening Workshops:


via GIPHY

And The DHS Program produced more than 80 publications:


via GIPHY

We hope you continue to follow us throughout 2017!

Watch the full video below:

 

29 Jun

Strengthening Afghanistan’s Health Sector: Evidence from the 2015 Afghanistan DHS

Dr. Ferozuddin Feroz (left), Sayed Alam Shinwari, Micheal Kugelman, and Larry Sample at The Wilson Center's Event, "A Good Diagnosis for Afghanistan: Strengthening the Health Sector"

Dr. Ferozuddin Feroz (left), Sayed Alam Shinwari, Michael Kugelman, and Larry Sampler at The Wilson Center’s Event, “A Good Diagnosis for Afghanistan: Strengthening the Health Sector”

Working in collaboration, two Afghan government organizations– the Central Statistics Organization and the Ministry of Public Health (MOPH) – conducted Afghanistan’s first Demographic and Health Survey (AfDHS). “This in itself is an enormous milestone,” said Larry Sampler, Assistant to the Administrator for the Office of Afghanistan and Pakistan Affairs at USAID during a panel discussion at the Wilson Center, “A Good Diagnosis for Afghanistan: Strengthening the Health Sector.” Sampler, joined by the Afghanistan Minister of Public Health, Dr. Ferozuddin Feroz; Sayed Alam Shinwari, President of the Afghan Medical Professionals Association of America; and Michael Kugelman, Senior Associate for South Asia at The Wilson Center highlighted the implications of the Afghan government’s efforts to improve maternal and child health as demonstrated in the newly released 2015 AfDHS Key Indicators Report (KIR).

AfDHS-KIROf particular interest to both the MOPH and USAID, AfDHS results show progress in reducing childhood mortalityCurrently, about 1 in 20 children does not survive until their 5th birthday in Afghanistan. The majority of these childhood deaths occur during the first year of life. Compared to earlier time periods, both infant and under-five mortality have declined, suggesting that child health interventions are making a difference. Dr. Feroz explains, “The DHS survey shows that there is substantial improvement in maternal health and child health. This progress has been made through high-level commitments, a productive work environment with development partners as well as non-governmental organizations (NGOs) and local NGOs, scaling up of cost effective and lifesaving interventions across the country, training of midwives, as well as attention to equity and those living in remote areas.”

“The DHS survey demonstrates how far the Afghan public health sector has come and also how far it has to go,” stated Larry Sampler. What are the challenges of Afghanistan’s health sector? “Afghanistan still faces instability and insecurity, poverty, unemployment, the few number of midwives or health staff across the country,” explains Dr. Feroz. But in spite of these challenges, the Afghan MOPH is developing a national strategy for the next five years. “We will use this recent survey as a baseline to measure progress – to increase access to remote areas, improve the quality of services, introduce cost-effective interventions, and focus on equity issues.”

Dr. Fred Arnold of The DHS Program with Dr. Ferozuddin Feroz, Afghanistan Minister of Public Health

Dr. Fred Arnold (left)  of The DHS Program with Dr. Ferozuddin Feroz, Afghanistan Minister of Public Health

The survey covered topics including fertility and family planning, maternal and child health, childhood and maternal mortality, nutrition, malaria, HIV knowledge, and other health issues. The KIR is a short report of key indicators from the 2015 AfDHS that is meant to provide important data in a timely fashion to program managers and policy makers. Additional indicators such as the maternal mortality ratio will be included in the AfDHS Final Report, scheduled for release in late 2016.

To learn more about the Woodrow Wilson Center’s event, watch “A Good Diagnosis for Afghanistan: Strengthening the Health Sector” or visit the Wilson Center’s website.

The 2015 Afghanistan Demographic and Health Survey (2015 AfDHS) was implemented by the Central Statistics Organization and the Ministry of Public Health from June 15, 2015, to February 23, 2016. The funding for the AfDHS was provided by the United States Agency for International Development (USAID). ICF International provided technical assistance through The DHS Program, a USAID-funded project providing support and technical assistance in the implementation of population and health surveys in countries worldwide.

07 Jan

Video: Best of The DHS Program 2015

Take a look back at the highlights of The DHS Program from 2015…

 

The DHS Program welcomed several new staff members:


via GIPHY

 

We released two helpful tutorial videos on sampling and weighting DHS data:


via GIPHY

 

33 South-to-South consultants from 23 countries played an integral role in capacity strengthening for all aspects of survey planning and implementation:


via GIPHY

 

A new publication was launched, the Key Indicators Report, to provide initial results of a survey:


via GIPHY

 

More than 700,000 biomarker tests were completed, measuring HIV, anemia, malaria, and micronutrients.  11 South-to-South Consultants were trained for biomarker technical assistance:


via GIPHY

 

We unveiled Beta STATcompiler and v2.0 of The DHS Program mobile app:


via GIPHY

 

The Gambia released its first-ever DHS:


via GIPHY

 

Users can now download citations for analytical, comparative, and trend reports:


via GIPHY

 

And The DHS Program produced over 100 publications:


via GIPHY

 

We hope you continue to follow us throughout 2016!

Watch the full video below:

16 Sep

Sampling and Weighting with DHS Data

At long last, The DHS Program has released two videos which demonstrate how to weight DHS data, concluding the Sampling and Weighting video series.

2012 Tajikistan DHS

2012 Tajikistan DHS

The first video in the series, Introduction to DHS Sampling Procedures, as well as the second
video, Introduction of Principles of DHS Sampling Weights, explained the basic concepts of sampling and weighting in The DHS Program surveys using the 2012 Tajikistan DHS survey as an example. Read our introductory blog post for more details.

In contrast, the third and fourth videos use an Example Practice Dataset, so viewers can practice weighting DHS data and replicate what is being shown in the videos while they are watching. The Example Practice Dataset was specifically created for DHS data users to have hands-on practice using DHS data in different statistical packages (Stata, SPSS and SAS) and does not represent the data of any actual country.

The third video, How to Weight DHS Data in Stata, explains which weight to use based on the unit of analysis, describes the steps of weighting DHS data in Stata and demonstrates both ways to weight DHS data in Stata (simple weighting and weighting that accounts for the complex survey design).

 

The fourth video, Demonstration on How to Weight DHS Data in SPSS and SAS, is the same as the third video, except it uses the statistical software packages SPSS and SAS instead of Stata.

After watching these videos, you will be able to answer the following questions:

  • Which weights should I use for my analysis?
  • What are the steps of weighting data in a statistical software package?
  • How do I weight DHS data in Stata, SPSS or SAS?
  • How do I account for the complex sample design when weighting in Stata, SPSS or SAS?

If you have more questions, visit the user forum!

What did you learn from the sampling and weighting videos? What would you like to explore further? Comment below!

22 Apr

Kufa au Kupona (Fever Road)

2011-12 Tanzania HIV and Malaria Indicator Survey

2011-12 Tanzania HIV and Malaria Indicator Survey

Malaria kills more than 500,000 Africans every year.  Consistent use of insecticide-treated mosquito nets (ITNs), early diagnosis and treatment, and prophylactic use of antimalarials during pregnancy can save thousands of lives. But according to the 2011-12 Tanzania HIV and Malaria Indicator Survey (THMIS), many families are not practicing these life saving measures.

To get the message about malaria prevention practices out to Tanzanian communities, The DHS Program collaborated with USAID, the President’s Malaria Initiative, the National Malaria Control Programme, and Media for Development International to produce a film showcasing real life stories of Tanzanians dealing with malaria. Filmed in Dar es Salaam with local actors, Kufa au Kupona (Fever Road), tells three stories. The first is about a young boy who almost dies of malaria because his parents take him to a witch doctor instead of a health care facility when he gets sick. The second story focuses on Jazira who contracts malaria during pregnancy because she does not take IPTp. Five-year-old Brighton, the subject of the third story, is mistakenly treated for malaria when his symptoms are actually due to a urinary tract infection.

Kufa au Kupona (Fever Road)

Kufa au Kupona (Fever Road)

Kufa au Kupona has been broadcast on 6 national television stations in Tanzania and widely disseminated in high malaria prevalence areas through a partnership with the Tanzania Video Library Association, at health care facilities with video equipment, and through mobile video vans. Now, through an arrangement with FilmAid, Kufa au Kupona will be publicly screened at refugee camps in Africa reaching tens of thousands of people at risk for malaria.

Does Kufa au Kupona have an impact? A follow-up survey of more than 800 women and men leaving the video showings in Tanzania found that virtually all respondents liked the film, and many wished it had been longer. All but two of the respondents said that the film influenced them to take action: 20% said they would get tested for malaria the next time they got sick; 22% said they would use mosquito nets; and 18% planned to discuss the film with other people.

 

Watch the movie with English subtitles>>

13 Jan

Harnessing Technology to Streamline Data Collection

By Guillermo Rojas

The survey process at The DHS Program takes an average of 18-20 months and goes through several steps: survey preparation and questionnaire design, training and fieldwork, data processing, and finally, writing the final report and dissemination. But how do the data get from respondents’ households into the tables you see in the final report?

We employ field interviewers to ask respondents the questions included in the DHS questionnaires – household, woman’s, man’s, and biomarkers. But the way we record their answers changes based on the data collection methodology. At The DHS Program, we employ three types of methodologies to collect data: paper questionnaires, Computer Assisted Field Editing (CAFE), and Computer Assisted Personal Interviews (CAPI).

DHS Model Household Questionnaire, Page 1

DHS Model Household Questionnaire, Page 1

The vast majority of DHS surveys in the past 30 years have used paper questionnaires to collect data. With physical paper questionnaires in hand, field interviewers go from house to house, ask the questions of the respondents, and manually fill out the questionnaires. After interviewers visit all households within a cluster, supervisors ship the questionnaires to the survey central office. Upon arrival, the data processing begins for that particular cluster.

The Computer Assisted Field Editing (CAFE) system allows for editing to happen as interviews are taking place. With CAFE, interviewers still use paper questionnaires, but Field Editors enter the questionnaires into computers while the team is still in the cluster. Essentially, questionnaires are fully field edited by an intelligent data entry program. With this type of data collection approach, Field Editors provide feedback to interviewers on any anomaly identified by the program such as interviewers missing full sections of the questionnaire or wrongly executing critical skip patterns. At this point in the survey process, it is relatively easy to send the interviewer back to the household to resolve any problems. With this approach, there is no need for main data entry as the data entered in the field is sent via the internet to the central office. Therefore, CAFE speeds up the survey process as cluster data files are available as soon as the data arrive to the central office for further processing.

The 2005 Colombia DHS was the first DHS survey to utilize the Computer Assisted Personal Interview (CAPI) methodology. CAPI does not involve any type of paper questionnaire—it is entirely digital. Back in 2005, field interviewers used bulky laptops, though nowadays we use lighter tablets and notebook computers.

Fieldwork in the 2005 Colombia DHS

Fieldwork in the 2005 Colombia DHS

The DHS CAPI data collection system consists of three comprehensive subsystems:

1. A system for interviewers to facilitate the interview process

2. A system for supervisors to centralize the data collected by interviewers

3. A system for the central office to monitor the fieldwork operation and to further process the data

The DHS CAPI system uses Bluetooth technology to transfer and share data among members of the same fieldwork team. Supervisors then send data to the central office headquarters using the Internet File Streaming System (IFSS), a cloud-based electronic file delivery system developed by The DHS Program. The primary objective of the service is to deliver files from one user to another in an exceptionally fast and secure way.

In the past 30 years, we’ve witnessed an incredible change in technology, especially with both hardware and software. When I first started at The DHS Program, running the program to impute the woman’s events dates could easily take more than six hours for a survey with a sample size of 2,000 to 3,000 households! Nowadays, with sample sizes of 20,000 to 30,000, this program takes just one to two minutes to run. CAFE and CAPI allow us to use the power of these newer innovations in technology to make sure that we carry out DHS surveys as efficiently and accurately as possible.

—————————————

Guillermo Rojas is Chief of Data Processing at The DHS Program. He has more than 35 years of experience in computer science and survey data processing, and has provided data processing technical assistance and training for more than 20 surveys. Since the early stages of The Demographic and Health Surveys (DHS) program, Mr. Rojas has been involved in the design and development of the data processing methodology currently being used to process and analyze DHS surveys. He is the primary writer of the master programs for implementing the evolving data processing methodology. Mr. Rojas coordinates all DHS data-processing activities and supervises personnel to ensure the accuracy and quality of the processes implemented.

07 Jan

Video: Interview with Martin Vaessen, Former Director of The DHS Program

We sat down with Martin Vaessen, former director of The DHS Program, to hear his thoughts about the past 30 years of The DHS Program. Martin is a demographer and survey specialist with more than 35 years of experience providing technical assistance in all phases of survey implementation in developing countries. He was instrumental in achieving the incorporation of HIV testing in the  Demographic and Health Surveys (DHS), an innovation that led to a revision of the estimated number of people living with HIV from 40 million to 33 million in 2007.

 

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