Policy note: Cambodia Health Systems in Transition.
The health system includes a mix of public and private providers. The use of private providers is much greater among the wealthy, while the use of informal-sector health providers is greater among the poor. Due to these circumstances there is ...considerable scope to establish appropriate public-private cooperation and to reinforce the regulatory mandate of the Ministry of Health (MOH).
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The purpose of this Operational Guideline is to support state health authorities, programme managers and health care professionals with recommendations on appropriate management of children with SAM in the health facilities. Facility based management includes setting up and managing within the healt...h facility premises, a functional space where these children are cared for. This Facility Based Unit is referred to as Nutritional Rehabilitation Centre or NRC in the document. While the scale and design may vary in a given situation, it is intended that the document provide the basis for a consistent set of principles that can be used by all states for facility based management of children with SAM. The Operational Guideline focuses on the Facility/Hospital based approach for the management of SAM children under 5 years of age based on the WHO and revised IAP protocols.
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THE REPUBLIC OF BOTSWANA | MINISTRY OF HEALTH | DEPARTMENT OF PUBLIC HEALTH | NATIONAL MALARIA CONTROL PROGRAMME
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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Collection of country-level good practices
Equity and Quality in Health: a People's Right
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