Although much work is done to strengthen public health systems, private drug shops/pharmacies are often the first point of care for families in Africa. This powerpoint looks at data snapshots of family planing trends in 15 African countries, such as what family products women buy and who drug shops and pharmacies primarily serve.
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Why does this topic
matter?
Private drug shop/pharmacies are often the first point of care
Training and supporting drug shop/pharmacies is recognized as a promising high impact
practice (HIP)
Donors and implementers are increasingly looking at this group as part of HRH efforts
While these private providers are important sources for care, challenges remain for:
Drug quality
Service quality
Policy restrictions
Fragmentation
APC has core funds to support a Community of Practice for drug shops/pharmacies
13. 13|*Includes countries where MCPR ≥ 20% and use of pharmacy/shops as source for last modern method ≥ 8%
Source: Most recent Demographic and Health Survey, 2008-2013.
14. 14|*Includes countries where MCPR ≥ 20% and use of pharmacy/shops as source for last modern method ≥ 8%
Source: Most recent Demographic and Health Survey, 2008-2013.
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*Includes countries where MCPR ≥ 20% and use of pharmacy/shops as source for last modern method ≥ 8%
Source: Most recent Demographic and Health Survey, 2008-2013.
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Some take
aways
For FP, private shops/pharmacies appear to serve the wealthier
segments
• Would client profiles look different for other health services/commodities, e.g.,
malaria, zinc/ORS?
For low mCPR countries (<20%), would drug shop/pharmacy client
profiles look different?
• Ghana, Nigeria?
FP clients are more likely to be located in rural areas
• Would disaggregating relative wealth by place of residence reveal other patterns, e.g.
urban poor vs. rural wealthy?
Tanzania appears to be an outlier
• FP clients are young, rural and unmarried
Can the data tell us anything about programming and investment?
Tanzania 2010 original analysis – 22.6, updated=23.6
Uganda 2000 original analysis – 13.4, updated = 16.5
Senegal 2014 & Zambia 2013 added, Senegal 2005 & Zambia 2001 dropped.
Updated Y axis to indicate that population is “all women”
Tanzania “other modern” was 4.8, now 5.7
Senegal 2014 and Zambia 2013 added
Where total does not add up to MCPR (may be off by as much as .2 due to rounding issues)
Updated Y axis label to indicate population is of “all women”
Same as previous slide:
Tanzania “other modern” was 4.8, now 5.7
Senegal 2014 and Zambia 2013 added
Where total does not add up to MCPR (may be off by as much as .2 due to rounding issues)
Updated Y axis label to indicate population is of “all women”