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1
Unfortunately, current data available on SDG financing are not sufficient to quantify the distribution of financing for the SDGs.
AidData’s methodology for measuring financing to the SDGs attempts to fill this gap by analyzing development project documentation to estimate project-level contributi
...
ons to the SDGs (and their associated targets). This methodology lets us see where development financing is targeted, allowing comparisons among SDG goals and individual SDG targets.
This methodology note describes two iterations of AidData’s methodology. The first, based on a crosswalk with existing aid reporting schemes, was employed for AidData’s 2017 flagship report Realizing Agenda 2030: Will donor dollars and country priorities align with global goals? and our brief Financing the SDGs in Colombia. The second iteration of the methodology employs a direct coding scheme, linking development projects directly to the SDGs through analysis and coding of project descriptions rather than through an intermediary classification system. This method was employed for our 2019 brief Financing the SDGs: Evidence in Four Countries.
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Malaria Journal (2021) 20:190
The goal of this course is to provide participants with the foundational skills needed to begin the development, implementation and ongoing improvement of a congenital anomalies surveillance programme, in particular for countries with limited resou
...
rces. It focuses on the methodology needed to develop either population-based or hospital based surveillance programmes.
A set of congenital anomalies will be used as examples throughout this course. The specific examples used are typically severe enough that they would probably be captured within the first few days after birth, have a significant public health impact and, for some of them, have the potential for primary prevention.
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Achieving Quality Health Care in Bangladesh:
2014 Bangladesh Health Facility Survey (BHFS)
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
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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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Delivering quality health services: A global imperative for universal health coverage
Kieny, Marie-Paule; Evans, Timothy Grant; Scarpetta, Stefano; Kelley, Edward T.; Klazinga, Niek; Forde, Ian; Veillard, Jeremy Henri Maurice; Leatherman, Sheila; Syed, Shamsuzzoha; Kim, Sun Mean; Nejad, Sepideh Bagheri; Donaldson, Liam
World Health Organization (WHO), Organisation for Economic Co-operation and Development (OECD), and The World Bank
(2018)
C_WHO
Poor quality health services are holding back progress on improving health in countries at all income levels.
Today, inaccurate diagnosis, medication errors, inappropriate or unnecessary treatment, inadequate or unsafe clinical facilities or practices, or providers who lack adequate training ... and expertise prevail in all countries.
The situation is worst in low and middle-income countries where 10 percent of hospitalized patients can expect to acquire an infection during their stay, as compared to seven percent in high income countries. This is despite hospital acquired infections being easily avoided through better hygiene, improved infection control practices and appropriate use of antimicrobials.. At the same time, one in ten patients is harmed during medical treatment in high income countries. more
Today, inaccurate diagnosis, medication errors, inappropriate or unnecessary treatment, inadequate or unsafe clinical facilities or practices, or providers who lack adequate training ... and expertise prevail in all countries.
The situation is worst in low and middle-income countries where 10 percent of hospitalized patients can expect to acquire an infection during their stay, as compared to seven percent in high income countries. This is despite hospital acquired infections being easily avoided through better hygiene, improved infection control practices and appropriate use of antimicrobials.. At the same time, one in ten patients is harmed during medical treatment in high income countries. more
One billion people around the world live with disabilities. This report makes the case that they are being “left behind” in the global community’s work on health. This lack of access not only violates the rights of people with disabilities under international law, but UHC
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and SDG 3 cannot be attained without better health services for the one billion people with disabilities.
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An Evidence-Based Treatment Guide for Clinicians
Practical Guidelines for Infection Control in Health Care Facilities
recommended
Manju Vatsa, Duangvadee Sungkhobol, Sudarshan Kumari, et al.
WHO Western Pacific, Manila, and WHO South-East Asia, New Delhi
(2004)
C_WHO
An infection control programme puts together various practices which when used appropriately restrict the spread of infection
Sectors in which Priority Adaptation Projects should be implemented first include:
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public Health ... and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Third Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors). more
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public Health ... and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Third Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors). more
BMJ 2009; 338 doi: https://doi.org/10.1136/bmj.b158 (Published 05 February 2009)
Cite this as: BMJ 2009;338:b158
Correspondence to: A Burns alistair.burns@manchester.ac.uk
Healthy Activity Program
A. Anand; N. Chowdhary, S.Dimidji and V. Patel
Sangath; London School of Hygiene & Tropical Medicine
(2013)
CC
The Healthy Activity Program manual aims at providing counsellors like you with information about counselling patients with moderate to severe Depression in primary care settings.
Providing improved water supply to low-income urban communities is a difficult challenge faced by water utilities throughout Africa and Asia.
This guide provides an introduction to available options for serving these communities.
The guide draws o
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n sector experience in general, and more particularly on WSUP’s extensive experience of implementing urban WASH programmes in sub-Saharan Africa and elsewhere.
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Briefing Note no. 80 November 2015
