For the primary health worker in a low/middle-income country (LMIC) setting, delivering quality primary care is challenging. This is often complicated by clinical guidance that is out of date, inconsistent and informed by evidence from high-income countries that ignores LMIC resource constraints and... burden of disease. The Knowledge Translation Unit (KTU) of the University of Cape Town Lung Institute has developed, implemented and evaluated a health systems intervention in South Africa, and localised it to Botswana, Nigeria, Ethiopia and Brazil, that simplifies and standardises the care delivered by primary health workers while strengthening the system in which they work. At the core of this intervention, called Practical Approach to Care Kit (PACK), is a clinical decision support tool, the PACK guide. This paper describes the development of the guide over an 18-year period and explains the design features that have addressed what the patient, the clinician and the health system need from clinical guidance, and have made it, in the words of a South African primary care nurse, ‘A tool for every day for every patient’. It describes the lessons learnt during the development process that the KTU now applies to further development, maintenance and in-country localisation of the guide: develop clinical decision support in context first, involve local stakeholders in all stages, leverage others’ evidence databases to remain up to date and ensure content development, updating and localisation articulate with implementation.
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Zanoni BC, et al. BMJ Glob Health 2016;1:e000004. doi:10.1136/bmjgh-2015-000004
Disaster Recovery Toolkit
Disaster Recovery Toolkit
Disaster Recovery Toolkit
Disaster Recovery Toolkit
The TB section of the toolkit presents selected (a) programmatic output and (b) outcome and impact indicators for TB. In addition to recommended monitoring programs and measuring the outcomes and impact of TB programs, indicators for the strengthening of health systems, strengthening of community sy...stems and some indicators that measure quality of services are also included.
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30th World AIDS Day Report
STAR Initiative, Unitaid and World Health Organization December 2018
Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—wealth and education—differ among... high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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