Category Archives: DHS Data Users

19 Aug 2019

DHS Data Users: Samuel Oppong, Ghana National Malaria Control Programme M&E Specialist

If you are interested in being featured in the ‘DHS Data Users’ blog series, let us know here by submitting your example of DHS Program data use. 


How are you involved in DHS Program surveys and analysis workshops?

My first time working on a DHS Program survey was for the 2016 Ghana Malaria Indicator Survey (GMIS). I helped with fieldwork monitoring and report writing. After the 2016 GMIS, I participated in the 2017 Regional DHS/MIS Malaria Analysis Workshop. At this workshop, I worked with my team members from the Ghana National Malaria Control Program (NMCP) to write an abstract, “Factors Influencing Malaria Prevalence in Children Under 5,” using the 2016 GMIS data.

Samuel Oppong (left) with participants from Ghana at
the 2017 DHS/MIS Malaria Analysis Workshop. © ICF

I then transitioned from being a workshop participant to a workshop co-facilitator, facilitating the 2017 Regional Malaria Indicator Trends Workshop in Uganda. This workshop brought together NMCP monitoring and evaluation (M&E) program managers from Liberia, Malawi, Nigeria, Sierra Leone, and Uganda to examine trends in malaria indicators.

More recently, I co-facilitated the 2018 Ghana Malaria Trends Workshop. This workshop brought together district malaria health officers to analyze trends in household survey indicators in Ghana. This was a great workshop because I was able to work with the data I am most familiar with! The output from this workshop is published on The DHS Program website.

Samuel Oppong (left) and Annē Linn co-facilitated the 2018
Ghana Malaria Indicator Trends Workshop. © ICF

How has NMCP used DHS data for programmatic decision making?

After the release of the 2016 GMIS, NMCP noticed a low uptake of artemisinin-based combination therapy (ACTs) in the Northern region, but the use of SP/Fansidar was high, which is not a recommended treatment for malaria in children. This triggered us to do additional research to figure out what was going on in this region and investigate which outlets were distributing SP. We realized that people were not receiving SP from public health facilities but from private clinical shops and other drug peddlers. The 2016 GMIS results provided a snapshot of the malaria case management situation in the Northern region and provided us justification to explore further. To solve this problem, NMCP implemented a sensitization activity to ensure people in the region know the recommended treatment and sources to get the correct treatment.

Another example of evidence-based decision making was the implementation of a malaria sensitization campaign using data the 2016 GMIS. Malaria prevalence by microscopy in the Eastern region increased between the 2014 GDHS and 2016 GMIS. This was a worrying trend because in Ghana we normally only see high malaria prevalence in the Northern and Upper West regions. NMCP looked more critically at the 2016 GMIS results and saw that while insecticide-treated net (ITN) ownership was high, the proportion of people who recognized the cause and symptoms of malaria was very low. As a result, NMCP implemented a community level sensitization activity in four districts of the Eastern region.

How do you use MIS survey data during your daily job?

I recently collaborated on a research paper using DHS data. The paper, published in The Malaria Journal, used survey data from the 2014 GDHS and the 2016 GMIS to examine ITN use behavior by exploring how several household and environmental variables related to use among Ghanaians with access to an ITN. This further analysis paper has been extremely helpful for programmatic decision making here at NMCP.

What data are you looking forward to in the upcoming 2019 GMIS?

I am interested in further examining the information about the type of nets in households. NMCP finished a mass long-lasting insecticidal net (LLIN) distribution campaign in 2018 and implemented a school-based piperonyl butoxide (PBO) net distribution campaign in 2019. The 2019 GMIS results will provide information on the reach and use of these nets across Ghana as well as where people obtained their nets.


Featured photo: Samuel Oppong (left) work on data analysis at the 2017 Regional DHS/MIS Malaria Analysis Workshop. © ICF


Written by: Samuel Oppong

Samuel Oppong is a Monitoring and Evaluation Specialist with the Ghana National Malaria Control Programme. He coordinators M&E activities in vector control interventions, routine data quality audits, and SMC. He is involved in capacity building of national, regional, district and health facility staff on capturing, reporting, and analyzing malaria-related data from routine health information systems as well as other malaria data sources. He also leads capacity building programs of national, regional, and district staff on conducting data quality audits as well as onsite training, supportive supervision (OTSS) on malaria data management.

25 Jun 2019

DHS Data Users: More than 2,000 Users Accessing DHS Data through IPUMS-DHS

Students presenting posters using IPUMS-DHS data at the first-ever Student Poster Extravaganza

© 2019 Students presenting posters using IPUMS-DHS data at the first-ever Student Poster Extravaganza at the Institute for Social Research and Data Innovation.

If you are interested in being featured in the ‘DHS Data Users’ blog series, let us know here by submitting your example of DHS Program data use. 


Over the past four years, the IPUMS-DHS program has grown substantially, in both the magnitude of available data and in use. As of June 2019, more than 2,000 users have accessed the IPUMS-DHS database, and multiple papers have been published using DHS data through IPUMS-DHS.

One of the advantages of accessing DHS data through IPUMS-DHS is that variables are harmonized across surveys, facilitating comparative research. Recent research using IPUMS-DHS data highlight innovative methods and fascinating results:

This year, IPUMS announced its first-ever IPUMS-DHS Award, an honor given to outstanding use of IPUMS-DHS data. The winning paper, Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data (Grady et al., Geospatial Health 2017 volume 12:501) identifies high-risk districts and counties for neonatal mortality. This analysis aims to help prioritize intervention sites for countries as they strive to reach the Sustainable Development Goals.

IPUMS-DHS is also being used to train the next generation of analysts and data users. The Quantitative Global Health Analysis course taught at the University of Minnesota this spring relied on IPUMS-DHS as a primary data source for its students. Final products were research posters using the data. Research questions explored by students analyzing IPUMS-DHS data included:

  • How Violence against Women Affects Fertility and Family Planning in Uganda
  • Changes in and Predictors of Antenatal Care for Women in Mali
  • Effects of Family Size and Food Insecurity on Child Mortality in Ethiopia
  • Understanding Variation in Vaccination Status in Ethiopia
  • Vitamin A Vaccination and Deficiency in Uganda
  • Perceptions of HIV/AIDS in India in the Context of Education

IPUMS-DHS Data Update: As of June 2019, the IPUMS-DHS database includes 156 samples from 38 countries and nearly 15,000 consistently coded variables, including all standard DHS variables from DHS Phases 1 through 7 and many country-specific variables. Learn more on our website and read our previous blogs on the IPUMS-DHS collaboration here.

21 Mar 2019

DHS Data Users: Insights on Health System Quality from the Service Provision Assessments

© 2017 Magali Rochat/VectorWorks, Courtesy of Photoshare

This new blog series, DHS Data Users, captures examples of how you, the data user, have incorporated data from DHS, MIS, and/or SPA surveys into your analyses, at your institution, or to influence policies or programs. If you are interested in being featured in the ‘DHS Data Users’ blog series, let us know here by submitting your example of DHS Program data use. 


The year 2018 saw an upswell of interest in health system quality with the publication of three global reports highlighting critical deficits in quality in health systems in low- and middle-income countries [1,2,3]. Much of the empirical basis for these reports was drawn from the Service Provision Assessments (SPA), the lesser-known surveys conducted by The Demographic and Health Surveys (DHS) Program, which provide comprehensive assessments of health systems in low-resource settings from Haiti to Nepal.

These surveys include a detailed audit of facility resources, provider interviews, direct observations of primary care services, and exit interviews with patients or caretakers. Each assessment is a sample of the complete health system (public and private) or in some cases a complete census. The resulting wealth of data enables assessment of structural inputs to quality of care, the care process – both competent care and user experience – and some outcomes from care, primarily user confidence in the health system. A small but increasing number of researchers is delving into all the SPA data have to offer. Among the insights the SPA surveys have yielded just from my own research are:

  • Most health systems assessed are not fully prepared for basic health care.
    A comparative study of 8,443 facilities in 9 countries based on SPA surveys between 2007 and 2015 found that hospitals averaged between 69% (Senegal 2012-2014) and 82% (Tanzania 2015, Namibia 2009) on the service readiness index defined by the World Health Organization for primary health facilities. Non-hospitals achieved at best 68% readiness (Namibia 2009) and at worst only 41% (Uganda 2007, Bangladesh 2014) [4]. Within primary care services – antenatal care, family planning, and sick child care – service-specific service readiness is not highly predictive of competent care being delivered.
  • Across facilities with a similar level of readiness, provider adherence to clinical guidelines varied widely. Correlation between readiness and observed clinical quality was more consistent for observations of labor and delivery, though only two SPA surveys include these data [5].
  • In Kenya, where the 2010 SPA did include direct observation of labor and delivery, both structural quality of maternity care and observed clinical quality was higher in facilities in wealthier areas than facilities in poorer areas, with women in the poorest areas receiving care that complied with only half of recommended clinical guidelines on average [6].
  • Across 8 countries, adherence to clinical guidelines was lower in sick child care, where providers completed only 38% of the standard Integrated Management of Childhood Illness (IMCI) items, than in family planning (46%) and antenatal care (57%) [7]. The median sick child consultation lasted only 8 minutes [8]. Focusing specifically on Malawi, where the survey team conducted a limited re-examination of sick children, providers diagnosed pneumonia in only 1 in 5 children who showed symptoms of pneumonia per the IMCI guidelines [9].
  • Analysis of the 2013-2014 Malawi SPA survey with a simultaneous household survey suggested that poor quality care may contribute to avertable neonatal mortality, with a predicted prevalence of neonatal mortality of 28.3 deaths per 1,000 in lower quality facilities and 5.2 deaths per 1,000 in higher quality facilities, among women who would choose higher quality if it were more accessible to them [10].

As attention shifts from describing health system quality to improving it at scale, robust and ongoing measurement will be an essential tool for governments and researchers alike, particularly the direct observation of care delivery and perspective from patients themselves that makes the SPA such a unique and valuable resource.

References


Written by Dr. Hannah Leslie

Dr. Hannah Leslie is a Research Associate at the Harvard Chan School of Public Health; she served as the Measurement Research Lead for the Lancet Global Health Commission on High-Quality Health Systems in the SDG Era. She received her MPH and Ph.D. in Epidemiology from the University of California, Berkeley. Her research has made extensive use of the Service Provision Assessment surveys to 1) develop metrics of structure and process quality in LMICs, 2) describe current quality of care, and 3) assess predictors and effects of poor quality. Her recent work focuses on effective coverage calculations, patient experience measurement, and quality of care as a driver of HIV testing and treatment retention.

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