WHO South-East Asia Journal of Public Health, April 2017, 6(1) 8 pp. 211 kB
Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB
OECD Development Policy Tools
Recognising that donor policies and responses constantly evolve, this guidance recommends that donors operating in situations of forced displacement prioritise three broad areas of work, where they can best contribute to existing capacities at the national, regiona...l and global levels.
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Shaping Health programme on Learning from international experience on approaches to community power, participation and decision-making in health,AMHF, TARSC
Scaling Up Mental Health Care In Rural India
This guidance document sets out a methodology to identify and track financing to the WASH sector in a coherent and consistent manner across several countries. It is designed to help countries track financing to the WASH sector on a regular and comparable basis and analyse this information to support... evidence-based policy-making based on useful indicators.
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This working paper is a case study on South Sudan as an important refugee country of origin. The case study looks at issues of forced displacement in South Sudan and underscores the linkages between internally displaced persons and South Sudanese refugees. The case study highlights the importance of... understanding local contexts and root drivers of conflict and displacement. It reviews evaluations of programmes in South Sudan, including past efforts at state building and refugee resettlement to look at learning within the international community. The study was undertaken as part of a wider research project on learning from evaluations to improve responses to situations of forced displacement .
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2nd Generation HIV Surveillance in Pakistan, Round 5
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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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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This progress report reflects achievements made during the first year of implementation (through December 2016), as countries have taken actions in line with new or existing national strategies. The most recent data on country progress in 2016 are based on country-reported data and country-developed... models using Spectrum software that were reported to UNAIDS in 2017.
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The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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This publication is based on the list of clinical interventions selected from clinical guidelines on prevention, screening, diagnosis, treatment, palliative care, monitoring and end of life care. This publication addresses medical devices for six types of cancer: breast, cervical, colorectal, leukem...ia, lung and prostate. The first section defines the global increase in cancer cases, the global goals to manage NCDs and the WHO activities related to these goals. The second section presents the methodology used for the selection of medical devices that support clinical interventions required to screen, diagnose, treat and monitor cancer stages, as well as the provision of palliative care, based on evidence-based information. The third section lists the priority medical devices required to manage cancer in seven different units of health care services: 1. Vaccination, clinical assessment and endoscopy, 2. Medical imaging and nuclear medicine, 3. Surgery, 4. Laboratory and pathology, 5. Radiotherapy, 6. Systemic therapy and 7. Palliative and end of life care
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