DHS Working Papers No. 82
DHS Working Papers No. 84
DHS Further Analysis Reports No. 101
DHS Working Papers No. 124
DHS Qualitative Research Studies No. 19
DHS Working Papers No. 119
There is a substantial and ever-increasing unmet need for rehabilitation worldwide, which is particularly profound in low- and middle
-income countries. The availability of accessible and affordable rehabilitation is necessary for many people with health conditions to remain as independent as possi...ble, to participate in education, to be economically productive, and fulfil meaningful life roles.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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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.
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The study sought to understand the factors that facilitate women to adhere to treatment and return to health facilities for routine care from their own perspective. The researchers focused on Malawi, Uganda and Zambia, early adopters of the global guidance to provide lifelong treatment for pregnant ...women living with HIV (Option B+) and spoke to women living with HIV, healthcare workers and programme managers to discover which factors and practices show promise in supporting women to initiate and remain in care.
This study found that women living with HIV who access these services to prevent vertical transmission have a strong sense and understanding of what factors support their retention and how health facilities, the wider community and their friends and relations can best support them. This report shares their words to describe how it feels to walk in their shoes on the path of life long treatment.
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A practical tool to help health workers in the clinical and operational management of multidrug-resistant tuberculosis with special focus on the introduction, implementation and management of the nine-month treatment regimen.
Inhaltsangabe: Vorwort; Trauma bei Kindern und JugendlichenTraumatisierte Kinder im pädagogischen; Sekundäre Traumatisierung des Helfer_innensystems – Der Versuch
zu verstehen und ein Pläydoyer für Enttabuisierung und Prävention; Trauma und Traumafolgen im Kindesalter; Zusammenarbeit mit E...ltern traumatisierter Kinder; „Traumasog“ – oder wie halte ich meine Arbeit eigentlich (noch) aus?; Pädagogisches Arbeiten mit traumatisierten Kindern; Pädagogisches Arbeiten mit traumatisierten Kindern; Traumata zwischengeschlechtlich geborener Kinder und co-traumatische Belastungen für deren Familien; Sexüll übergriffige Buben und Burschen: eigene Traumatisierung ein Thema?; Gefühle unter dem Mikroskop und im Hirnscanner
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Position Statement
Diabetes Care2018;42(Suppl. 1):S1–S194.
Проблема раннего детского аутизма в настоящее время является одной из наиболее актуальных,
что обусловлено, прежде всего, огромным ростом статистических показат...лей распространенности
данного диагноза по всему миру. В статье рассматриваются клинические проявления раннего
детского аутизма, описываются основные симптомы и синдромы раннего детского аутизма, на
которые необходимо обращать внимание детским специалистам (педиатрам, неврологам) при
первичном обращении таких пациентов, а также дается обобщенная характеристика
диагностических проблем при выявлении раннего детского аутизма у детей в возрасте от 1 до
3 лет и основные дифференциально-диагностические критерии.
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