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Results from the 2008 Ghana Demographic and Health Survey
Towards the Peoples Health Assembly Book - 4
Towards the Peoples Health Assembly Book - 5
Towards the Peoples Health Assembly Book - 1
A user-friendly instrument designed to collect and calculate indicators of effective inventory management. The IMAT guides the user through a process of collecting data on the physical and theoretical stock balance and the duration of stockouts for a set of up to 25 frequently-used products, calcula
...
ting indicators, analyzing the results, and identifying strategies for improving record-keeping and stock management practices. The IMAT comes as a computerized spreadsheet in Excel and includes instructions, a data collection form, analysis guidelines, recommendations, and a graphical display of the indicator results.
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Fact Book on WHO Level I and Level II monitoring indicators - To monitor the progress of efforts to improve the global medicines situation, WHO has developed a system of indicators that measure important aspects of a country’s pharmaceutical situation. Level 1 indicators measure the existence and
...
performance of key national pharmaceutical structures and processes. Level II indicators measure key outcomes of these structures and processes in the areas of access, product quality and rational use. These indicators can be used to assess progress over time; to compare situations between countries; and to reassess and prioritize efforts based on the results.
This Fact Book gives the results of the assessment of Level I indicators conducted in 2003 and of Level II indicator surveys conducted between 2002 and 2004
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Technical Update
Areas of Africa endemic for Buruli ulcer (BU), caused by Mycobacterium ulcerans, also have a high prevalence of human immunodeficiency virus (HIV), with adult prevalence rates between 1% and 5% (Maps). However, there is limited information on the prevalence of BU–HIV coinfection.
...
Preliminary
evidence suggests that HIV infection may increase the risk of BU disease (1–3). In the Médecins Sans Frontières project in Akonolinga, Cameroon, HIV prevalence was approximately 3–6 times higher among BU patients than the regional estimated HIV prevalence (2). Similarly in Benin and Ghana, BU
patients were 8 times and 3 times respectively more likely to have HIV infection than those without BU (1, 3). Further study is needed to clarify this association and enhance knowledge about the prevalence ofBU–HIV coinfection in endemic areas.
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