Transcript Two recent systematic reviews for development
Annette N. Brown, Deputy Director for AIES
TWO RECENT SYSTEMATIC REVIEWS FOR DEVELOPMENT
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Outline
• Review questions • Inclusion criteria • Theory of change • Search pipeline • Results • Fun methods finding
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“Interventions in Developing Nations for Improving Primary and Secondary School Enrollment of Children: A Systematic Review” By Anthony Petrosino, Claire Morgan, Trevor A. Fronius, Emily E. Tanner-Smith, Robert F. Boruch, November 2012
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Review questions
• What are the effects of interventions implemented in developing countries on measures of students’ enrollment, attendance, graduation, and progression?
• Within those studies that report the effects of an intervention on [the above measures], what are the ancillary effects on learning outcomes?
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Inclusion criteria
Population/participants: Primary and secondary school aged children in LMICs
Interventions: Intended to affect one of the four primary outcomes
Comparison: No specific program comparison Outcomes: Enrollment, attendance, graduation, and progression Studies: RCTs and QEDs
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Typology of education interventions Demand Supply Reducing costs Providing information CCTs, scholarships and non-fee subsidies Increasing preparedness Early child development Buildings Teachers Vouchers Health/ nutrition Materials Abolishing school fees and capitation grants
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Management School feeding
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“Farmer field schools for improving farming practices and farmer outcomes in low- and middle-income countries: a systematic review” By Hugh Waddington, Birte Snilstveit, Jorge Hombrados, Martina Vojtkova, Daniel Phillips, and Howard White, December 2012
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Review questions
• What is the impact of farmer field schools on their objectives in terms of ‘endpoint’ outcomes such as increased yields, net revenues and farmer empowerment, and intermediate outcomes such as capacity building and adoption of improved practices?
• Under which circumstances and why: what are the facilitators and barriers to FFS effectiveness and sustainability?
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Inclusion criteria
• Population/participants: Farm households in low and middle income countries • Intervention: Programs explicitly referred to as ‘farmer field school ’ • Comparison: No specific program comparison • Outcomes: effectiveness across the causal chain – Knowledge → adoption → – Impact on yields, revenues, environment, health, empowerment • Studies: – Effects: experimental, quasi-experimental with controlled comparison – Barriers/facilitators: qualitative (Critical Appraisal Skills Programme checklist 2006)
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Input 1 Training of trainers Input 2 Field school
T of Change
Capacity building (FFS participants) Capacity building (FFS neighbours) Adoption (FFS participants) Adoption (FFS neighbours) Measured impacts:
Yield, input-output ratio, income, empowerment, environmental
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outcomes, health
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Input 1 Training of trainers Input 2 Field school - Facilitators adequately trained - Farmers and facilitators attend sufficient meetings - FFS synchronised with planting season Capacity building (FFS participants) Capacity building (neighbours) - Field days/follow-up - High degree of social cohesion - Geographical proximity to other farmers (observation) or market (communication) - Curriculum relevant to problems facing farmers
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Farmer attitudes changed Adoption (FFS participants) Adoption (neighbours) (convinced message appropriate) Measured impacts:
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Relative
Yield, input-output ratio,
advantage over old
income, empowerment, environmental
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outcomes. health
- New technology appropriate - Market access - Favorable prices - Environmental factors including weather, soil
Effectiveness
27,866 titles screened 1453 abstracts screened 1,112 abstracts screened
Causal Chain Analysis
751 excluded 126 no access 369 full text obtained 312 full text sought 49 no access 186 excluded:
128 on relevance 58 on design (no comparison)
183 Extension impact papers: 134 FFS 49 non-FFS 134 FFS impact papers
Qualitative Synthesis
25 qualitative papers 257 excluded
BB+ Synthesis
30 IE and sister papers 80 individual FFS studies International Initiative for Impact Evaluation 20 individual FFS studies 11 individual FFS studies www.3ieimpact.org
Study ID FFS participants Huan et al., 1999 (Vietnam) Endalew, 2009 (Ethiopia) Price et al., 2001 (Philippines) Rao et al., 2012 (India) Reddy & Suryamani, 2005 (India) Kelemework, 2005 (Ethiopia) Mutandwa & Mpangwa, 2004 (Zimbabwe) Dinpanah et al., 2010 (Iran) Khan et al., 2007 (Pakistan) Bunyatta et al., 2006 (Kenya) Erbaugh, 2010 (Uganda) Rebaudo & Dangles, 2011 (Ecuador) .
Subtotal (I-squared = 93.3%, p = 0.000) FFS neighbours Khan et al., 2007 (Pakistan) Reddy & Suryamani, 2005 (India) Ricker-Gilbert et al, 2008 (Bangladesh) Rebaudo & Dangles, 2011 (Ecuador) Subtotal (I-squared = 0.0%, p = 0.610) .
NOTE: Weights are from random effects analysis Positive impacts on knowledge among participants -.5
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Study ID FFS neighbours Pananurak, 2010 (India) Khan et al., 2007 (Pakistan) Feder et al, 2004 (Indonesia) Labarta, 2005 (Nicaragua) Pananurak, 2010 (China) Wu Lifeng, 2010 (China) Pananurak, 2010 (Pakistan) .
Yamazaki & Resosudarmo, 2007 (Indonesia) Subtotal (I-squared = 49.5%, p = 0.054) FFS participants Pananurak, 2010 (India) Van Rijn, 2010 (Peru) Naik et al., 2008 (India) Huan et al., 1999 (Vietnam) Labarta, 2005 (Nicaragua) Rejesus et al, 2010 (Vietnam) Feder et al, 2004 (Indonesia) Wu Lifeng, 2010 (China) Ali & Sharif, 2011 (Pakistan) Pananurak, 2010 (China) Gockowski et al., 2010 (Ghana) Yang et al., 2005 (China) Hiller et al., 2009 (Kenya) Khan et al., 2007 (Pakistan) Cavatassi et al., 2011 (Ecuador) Davis et al, 2012 (Tanzania) Birthal et al., 2000 (India) Pananurak, 2010 (Pakistan) Dinpanah et al., 2010 (Iran) Wandji et al., 2007 (Cameroon) Mutandwa & Mpangwa, 2004 (Zimbabwe) Palis, 1998 (Philippines) Zuger 2004 (Peru) Carlberg et al., 2012 (Ghana) Yamazaki & Resosudarmo, 2007 (Indonesia) Van den Berg et al., 2002 (Sri Lanka) Davis et al, 2012 (Kenya) Pande et al., 2009 (Nepal) Dinpanah et al., 2010 (Iran) Orozco Cirilo et al., 2008 b) (Mexico) Todo & Takahashi, 2011 (Ethiopia) Subtotal (I-squared = 93.0%, p = 0.000) .
NOTE: Weights are from random effects analysis .5
2 3 0.79 (0.63, 1.00) 0.97 (0.74, 1.26) 0.99 (0.97, 1.01) 1.00 (0.99, 1.01) 1.02 (0.98, 1.07) 1.03 (0.99, 1.08) 1.03 (0.86, 1.25) 1.43 (1.05, 1.96) 1.01 (0.98, 1.03) 0.80 (0.61, 1.05) 0.86 (0.63, 1.18) 0.89 (0.83, 0.96) 0.95 (0.92, 0.98) 0.97 (0.92, 1.02) 0.97 (0.72, 1.31) 0.98 (0.96, 1.01) 1.08 (1.03, 1.14) 1.09 (1.03, 1.15) 1.09 (1.04, 1.14) 1.14 (1.03, 1.25) 1.15 (0.94, 1.41) 1.17 (0.53, 2.56) 1.17 (0.97, 1.42) 1.22 (0.97, 1.53) 1.23 (1.00, 1.51) 1.24 (1.13, 1.36) 1.24 (1.01, 1.54) 1.32 (1.22, 1.42) 1.32 (1.07, 1.63) 1.36 (1.06, 1.73) 1.36 (0.97, 1.92) 1.44 (1.09, 1.92) 1.58 (1.19, 2.10) 1.67 (1.23, 2.26) 1.68 (1.30, 2.18) 1.81 (1.15, 2.84) 2.11 (1.25, 3.56) 2.52 (2.05, 3.11) 2.62 (2.23, 3.08) 2.71 (1.11, 6.60) 1.23 (1.16, 1.32) Increased yields among FFS beneficiaries not neighbours
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Reduced environmental risk factors
Study ID FFS participants Pananurak, 2010 (India) Praneetvatakul & Waibel, 2006 (Thailand) Pananurak, 2010 (Pakistan) Cavatassi et al., 2011 (Ecuador) .
Subtotal (I-squared = 8.0%, p = 0.353) FFS neighbours Pananurak, 2010 (India) Pananurak, 2010 (Pakistan) Cavatassi et al., 2011 (Ecuador) Praneetvatakul & Waibel, 2006 (Thailand) Subtotal (I-squared = 0.0%, p = 0.878) .
NOTE: Weights are from random effects analysis .1
.2
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Favours intervention
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Summary of quantitative findings
• FFS increase knowledge and improve adoption of the FFS practices • On average increasing yields and/or incomes • Suggestions of farmers feeling empowered • Limited, if any, spillovers • Neighbours do not adopt the practices consistently
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Study ID High risk of bias Naik et al., 2008 (India) Huan et al., 1999 (Vietnam) Labarta, 2005 (Nicaragua) Gockowski et al., 2010 (Ghana) Yang et al., 2005 (China) Hiller et al., 2009 (Kenya) Khan et al., 2007 (Pakistan) Birthal et al., 2000 (India) Dinpanah et al., 2010 (Iran) Wandji et al., 2007 (Cameroon) Mutandwa & Mpangwa, 2004 (Zimbabwe) Palis, 1998 (Philippines) Zuger 2004 (Peru) Carlberg et al., 2012 (Ghana) Van den Berg et al., 2002 (Sri Lanka) Pande et al., 2009 (Nepal) Dinpanah et al., 2010 (Iran) Orozco Cirilo et al., 2008 b) (Mexico) Subtotal (I-squared = 95.4%, p = 0.000) .
Medium risk of bias Pananurak, 2010 (India) Van Rijn, 2010 (Peru) Rejesus et al, 2010 (Vietnam) Feder et al, 2004 (Indonesia) Wu Lifeng, 2010 (China) Ali & Sharif, 2011 (Pakistan) Pananurak, 2010 (China) Cavatassi et al., 2011 (Ecuador) Davis et al, 2012 (Tanzania) Pananurak, 2010 (Pakistan) Yamazaki & Resosudarmo, 2007 (Indonesia) Davis et al, 2012 (Kenya) Todo & Takahashi, 2011 (Ethiopia) Subtotal (I-squared = 81.0%, p = 0.000) .
Overall (I-squared = 93.0%, p = 0.000) NOTE: Weights are from random effects analysis 0.97 (0.92, 1.02) 1.14 (1.03, 1.25) 1.17 (0.53, 2.56) 1.17 (0.97, 1.42) 1.32 (1.22, 1.42) 1.32 (1.07, 1.63) 1.36 (1.06, 1.73) 1.36 (0.97, 1.92) 1.58 (1.19, 2.10) 1.68 (1.30, 2.18) 2.52 (2.05, 3.11) 2.62 (2.23, 3.08) 0.80 (0.61, 1.05) 0.86 (0.63, 1.18) 0.98 (0.96, 1.01) 1.08 (1.03, 1.14) 1.09 (1.03, 1.15) 1.09 (1.04, 1.14) 1.22 (0.97, 1.53) 1.24 (1.01, 1.54) 1.67 (1.23, 2.26) 2.71 (1.11, 6.60) 1.10 (1.03, 1.17) Sensitivity analysis: Yields by risk of bias status High risk of bias studies over estimate impacts .5
2 3 Favours intervention
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