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Impact Assessment of the Community Animal Health System in ...

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2.2 Data collection<br />

The data collection methods were designed with VSF Suisse staff based <strong>in</strong> Nairobi, Wajir and Takaba,<br />

who were previously <strong>in</strong>volved <strong>in</strong> <strong>the</strong> design and implementation <strong>of</strong> <strong>the</strong> ELMT project. The impact<br />

assessment was conducted <strong>in</strong> August 2009 by a team <strong>of</strong> three veter<strong>in</strong>arians and a veter<strong>in</strong>ary assistant;<br />

a veter<strong>in</strong>arian from PACAPS (who spoke Somali and Oromo), and three VSF Suisse staff . VSF Suisse<br />

project documents were reviewed to provide <strong>in</strong>formation on project activities.<br />

Key <strong>in</strong>formant <strong>in</strong>terviews<br />

Key <strong>in</strong>formant group and <strong>in</strong>dividual <strong>in</strong>terviews were used to collect <strong>in</strong>formation as follows.<br />

• The availability <strong>of</strong> basic animal health services <strong>in</strong> <strong>the</strong>ir area.<br />

• Livestock movement radius and coverage <strong>of</strong> <strong>the</strong> CAHW service.<br />

• Limitations <strong>of</strong> <strong>the</strong> CAHW service delivery system and suggestions for improvement.<br />

Methods with CAHWs<br />

Information was collected from CAHWs as follows.<br />

• Simple scor<strong>in</strong>g <strong>of</strong> drug suppliers/sources to show replenishment <strong>of</strong> <strong>the</strong>ir veter<strong>in</strong>ary drugs before<br />

and after <strong>the</strong> VSF Suisse/ELMT project support.<br />

• Matrix scor<strong>in</strong>g <strong>of</strong> different drug sources aga<strong>in</strong>st four <strong>in</strong>dicators viz. accessibility, affordability,<br />

quality and availability.<br />

• Simple scor<strong>in</strong>g <strong>of</strong> preferences for different types <strong>of</strong> antibiotics sourced from <strong>the</strong> pharmacies.<br />

• Interviews to exam<strong>in</strong>e <strong>the</strong> advantages and disadvantages <strong>of</strong> be<strong>in</strong>g a CAHW.<br />

Proportional pil<strong>in</strong>g to estimate case fatality rate (CFR)<br />

Proportional pil<strong>in</strong>g was used with livestock keepers to estimate case fatality rates (CFRs) 7 . The<br />

method was designed so that <strong>the</strong>se <strong>in</strong>formants could describe specific variables by livestock species.<br />

• The proportion <strong>of</strong> <strong>the</strong> herd which became sick dur<strong>in</strong>g <strong>the</strong> observation period <strong>of</strong> September 2008<br />

to July 2009, and <strong>the</strong>n, <strong>the</strong> specific diseases which were diagnosed by ei<strong>the</strong>r CAHWs or owners<br />

based on cl<strong>in</strong>ical <strong>in</strong>formation.<br />

• The proportion <strong>of</strong> sick animals treated by disease, and type and source <strong>of</strong> drugs adm<strong>in</strong>istered by<br />

ei<strong>the</strong>r a CAHW or livestock keeper.<br />

• The proportions <strong>of</strong> treated animals which died and survived, by disease and accord<strong>in</strong>g to<br />

treatment by a CAHW or livestock keeper.<br />

The proportional pil<strong>in</strong>g method was standardized and adapted from <strong>the</strong> method which has been<br />

validated with pastoralists <strong>in</strong> east Africa. It used local disease names (Annex 1) and <strong>the</strong> data was<br />

handled as non‐parametric data. Median differences <strong>in</strong> CFR by disease for CAHW‐treated and<br />

owner‐treated herds were calculated us<strong>in</strong>g Confidence Interval Analysis s<strong>of</strong>tware 8 . However, a<br />

dist<strong>in</strong>ction was made between statistical significance and cl<strong>in</strong>ical significance: ‘Statistical significance<br />

tests give an <strong>in</strong>dication <strong>of</strong> <strong>the</strong> probability that observed differences between groups are due to chance. Cl<strong>in</strong>ical<br />

significance concerns <strong>the</strong> relevance <strong>of</strong> f<strong>in</strong>d<strong>in</strong>gs to cl<strong>in</strong>ical veter<strong>in</strong>ary practice. Because statistical significance is<br />

partly dependant on sample size …it is possible that cl<strong>in</strong>ically important results may be overlooked because a<br />

study’s sample size is too small.’ 9 Therefore, although <strong>the</strong> death <strong>of</strong> one camel <strong>in</strong> a herd might not register<br />

7 The case fatality rate (CFR) for a given disease is <strong>the</strong> proportion <strong>of</strong> sick animals which die. Therefore, CFR differs from<br />

mortality rate, which measure <strong>the</strong> number <strong>of</strong> deaths <strong>in</strong> <strong>the</strong> total population due to a given disease; total population <strong>in</strong>cludes<br />

both sick (affected) and health (non‐affected) animals.<br />

8 Altman, D.G., Mach<strong>in</strong>, D., Bryant, T.N. and Gardner, M.J. (2002). Confidence Interval Analysis version 2. British Medical Journal<br />

Books, London.<br />

9 Thrusfield, M. (2005). Veter<strong>in</strong>ary Epidemiology, third edition. Blackwell Publish<strong>in</strong>g, Oxford.<br />

3

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