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Toolboxes
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1
A module from the suite of health service capacity assessments in the context of the COVID-19 pandemic, Interim Guidance 20 October 2020.
This self-assessment tool is designed for acute health-care facilities (i.e. tertiary and secondary) but can be modified for the use in long-term care facilities
...
, to help identify, prioritize and address the gaps in infection prevention and control (IPC) capacity in managing their response to COVID-19. The tool should be used by IPC professionals and/or those responsible for disaster planning or outbreak management in the facility (such as the response to the COVID-19 outbreak) at the start of the improvement process. A sample workplan template is provided to address gaps identified and record required actions.
more
Today’s children, and their children, are the ones who will live with the consequences of climate change.
Report by the Director-General 22 May 2022
WHO Informal Consultation on Fever Management in Peripheral Health Care Settings
World Health Organization
(2013)
A global Review of evidence and practice
Made under Section 5 (c) of the Tanzania Food, Drugs and Cosmetics Act, 2003 | Second Edition
The Equal Rights Review Volume 9, pp.117-137
ndependent of the current conflict, the health sector in Ukraine faces several critical shortcomings. In particular, the country has an oversupply of hospitals and an undersupply of primary care and diagnostic facilities. Addressing these limitations will require substantial amounts of capital inves
...
tment, but constraints on public finances in the post-war context will reduce the Government’s ability to fund the needed reconfiguration. Multiple international financial institutions have stated their intention to support reconstruction in the aftermath of the war. The use of public–private partnerships (PPPs) may support the achievement of these outcomes and their use in Ukraine is likely to remain an important issue for Government policy-makers and their partners to consider in a variety of post-war scenarios.
more
Language influences the way we think, how we perceive reality, and how we behave. With respect to HIV, language can embody stigma and discrimination, which impacts access to testing, acquisition of HIV, and engagement with treatment. Language plays a role in supporting respect and empowerment of ind
...
ividuals, as communities shape how they are referred to and the labels they wish to use. Consideration and use of appropriate language can strengthen the global response to the HIV pandemic by diminishing stigma and discrimination and increasing support and understanding for individuals and communities living with HIV. Comments and suggestions for modifications should be sent to
more
Equity and Quality in Health: a People's Right
DEPARTMENT OF CONTROL OF NEGLECTED TROPICAL DISEASES
"This document has been developed for outpatient oncology
facilities to serve as a model for a basic infection
control and prevention plan. It contains policies
and procedures tailored to these settings to meet minimal
expectations of patient protections as described
in the CDC Guide to Infecti
...
on Prevention in Outpatient
Settings."
more
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