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1
The global tripartite self-assessment survey of country progress in addressing antimicrobial resistance (AMR) is a component of a broader approach for monitoring and evaluation of the global action plan on AMR. This report analyses the results of th
...
e second tripartite self-assessment survey
more
The authors conduct an integrated survey of Antimicrobial Resistant Organisms (AMR) in drinking water, wastewater and surface water in three settings in Bangladesh: rural households, rural poultry farms, and urban food markets. Results show that unt
...
reated water discharged from rural households, poultry farms and urban markets are major contributors to surface water pollution and antibiotic resistant bacteria genes, calling for increased surveillance and monitoring.
more
Results from a High Frequency Cell Phone Survey Round 1
Data from the 2011 Ethiopia Demographic and Health Survey
Women’s Empowerment as a Determinant of Contraceptive Use in Ethiopia
Tadesse, Mekonnen, Habtamu Teklie, Gorfu Yazew, and Tesfayi Gebreselassie
ICF International
(2013)
C2
Further Analysis of the 2011 Ethiopia Demographic and Health
Survey. DHS Further Analysis Reports No. 82
Sexual and Reproductive Health of Adolescents and Youth In Nepal: Trends and Determinants
Khatiwada N., Silwal P.R., Bhadra R., and Tamang T.M.
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the 2011 Nepal Demographic and Health Survey
Maternal and Child Health in Nepal: The Effects of Caste, Ethnicity, and Regional Identity
Pandey, J. P., M.R. Dhakal, S. Karki, P. Poudel, and M.S. Pradhan
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the 2011 Nepal Demographic and Health Survey
In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd Sep
...
tember 2014 and concluded on 17th October 2014, in all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
more
Progress in reducing tobacco use is a key indicator for measuring countries’ efforts to implement the WHO Framework Convention on Tobacco Control – target 3.a under the Sustainable Development Goals agenda. Countries have adopted this
...
indicator to report progress also towards the tobacco reduction target under the Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020 and the WHO’s Global Programme of Work triple billions target.
Fourth edition.
more
Accessed on 01.03.2020
Since its inception in 1995, the Multiple Indicator Cluster Surveys, known as MICS, has become the largest source of statistically sound and internationally comparable data on women and children worldwide. In countries as d
...
iverse as Costa Rica, Mali and Qatar, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women.
more
12 May 2021. This third survey in the series shows that the COVID-19 pandemic continues to impact societies, not only in terms of health, but also social and economic conditions and day-to-day life
The mandate of the National Tuberculosis Control Programme is to provide leadership and stewardship to accelerate intense and coordinated efforts to reduce the adult TB burden of 290 per 100,000 population recently established in the 2013 National TB Prevalence
...
Survey. Other key challenges are low TB case notification, unacceptably high TB death rates, low antiretroviral therapy (ART) coverage among TB/HIV patients and low drug-resistant notification and treatment.
more
PLoSONE 14(9):e0223104.https://doi.org/10.1371/journal.pone.0223104.
The survey centering on reasons behind community resistance was conducted in Butembo in November during a time of Ebola transmission. A researcher from Catholic University of Grab
...
en in Butembo and collaborators at the University of Alberta in Edmonton published their findings on Sep 26 in PLOS One.
To spark focus group discussions, the researchers used an 18-item questionnaire based on similar ones used during West Africa's outbreak in Guinea, where community resistance and episodes of violence also complicated the outbreak response.
Participants were a convenience sample of 670 adults from the region who were recruited by medical students at Catholic University of Graben. Those surveyed included clinicians, community members, and displaced persons.
more
A step-by-step guide for child protection programmes to the design and implementation of KAP survey methods. In particular, this guide will help to strengthen the quality of our research, monitoring and evaluation work, and enable Save the Children
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to contribute to a step-change in the child protection evidence base that is so critically needed. Document also available in French, Spanish and Arabic.
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The National AIDS Control Council (NACC) continues to strengthen partnerships with all stakeholders in the response to HIV and AIDS in Kenya. While recognizing that there is no single preventive approach to reverse the spread of HIV, the faith sector comprising of Faith Communities (FCs) a
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nd Faith-Based Organizations (FBOs) have demonstrated sustained motivation and moral authority with resources and outreach capability to significantly reduce new HIV infections. In addition, they have the power to influence policy changes to address societal, cultural and structural factors that impede individuals’ capacity to prevent HIV infection. According to Kenya Demographic Health Survey (2014), over 97% of the Kenya population was reported to ascribe to religious affiliation.
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method— ... principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method— ... principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This is a report from a National, representative household survey carried out in Botswana in 2012 – 2014. The study was carried out on behalf of the Norwegian Federation of Organisations of Disabled Persons (FFO), Southern Africa Federation of the
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Disabled (SASFOD) and Botswana Federation of Disabled People (BOFOD). The study was led by Professor Tlamelo Mmatli of the University of Botswana, in collaboration with SINTEF Technology and Society. The study would not have been possible without a strong commitment from the Office of the President of Botswana and support from the Central Statistical Office. The study presents a broad picture of the situation among individuals with disability and households with disabled members in Botswana. It offers comparison with individuals without disability and households without disabled members, between provinces and between genders and locations (urban/rural). The study reveals that households with disabled members and individuals with disability score lower on a range on indicators on level of living.
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and
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access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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WHO would like to express its gratitude and appreciation to all Member States that provided information to the WHO survey on policies and activities at the national level in the area of antimicrobial resistance. The contribution of staff in WHO Regi
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onal and Country Offices has been invaluable: in gather-ing original data and information from Member States, in supporting the process of aggregation of these data; and in reviewing the regional analysis of the findings that reflect the country situation at the point when the survey was conducted. The support and commitment of the members of the WHO Task Force on Antimicrobial Resistance, comprising WHO staff from Headquarters and Regional Offices has, is also acknowledged.
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Fact Book on WHO Level I and Level II monitoring indicators - To monitor the progress of efforts to improve the global medicines situation, WHO has developed a system of indicators that measure important aspects of a country’s pharmaceutical situation. Level 1 indicators measure the existence and
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performance of key national pharmaceutical structures and processes. Level II indicators measure key outcomes of these structures and processes in the areas of access, product quality and rational use. These indicators can be used to assess progress over time; to compare situations between countries; and to reassess and prioritize efforts based on the results.
This Fact Book gives the results of the assessment of Level I indicators conducted in 2003 and of Level II indicator surveys conducted between 2002 and 2004
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