© professor rifat atun. imperial college london, 2008 positive synergies between global health...
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© Professor Rifat Atun. Imperial College London, 2008
Positive Synergies between Global Health Initiatives
Professor Rifat AtunProfessor of International Health Management, Imperial College London &Director Strategy, Policy and Performance Cluster, The Global Fund to Fight AIDS, TB & Malaria
© Professor Rifat Atun. Imperial College London, 2008
Key Research Questions
• What are the extent and nature of integration of GHIs (programmes they finance) and health systems to achieve synergies in varied contexts?
• Which factors influence the extent and nature of integration?
• How the varied health system designs and delivery structures influence outcomes?
© Professor Rifat Atun. Imperial College London, 2008Atun, Ohiri, Adeyi, 2008
Key variables affecting the nature and extent of integration
1. The Problem being addressed
2. The Intervention
3. The Adoption System
4. The Health System characteristics
5. The Broad Context
© Professor Rifat Atun. Imperial College London, 2008
Integrate or not to integrate: framework for analysis
InterventionAdoption
System
Broad Context
Broad Context
Health System Characteristics
Problem
© Professor Rifat Atun. Imperial College London, 2008
The Problem
• Necessity and Urgency • Burden– Economic and social
• Perceived and real• Social Narrative
• Transmission dynamics
© Professor Rifat Atun. Imperial College London, 2008
The Intervention
• Complexity
• Scalability
• Simpler to more complex*
• Replicability
* See next slide
© Professor Rifat Atun. Imperial College London, 2008
Intervention: simple versus complex
Single episode
Multiple episodes
Few elements
Multipleelements
Less complex
More complex
Atun and Kyratsis 2007
© Professor Rifat Atun. Imperial College London, 2008
Intervention: simple versus complex
Few stakeholders
Multiple stakeholders
Few levels
Multiplelevels
Less complex
More complex
Atun and Kyratsis 2007
© Professor Rifat Atun. Imperial College London, 2008
Intervention: simple versus complex
User engagement lower
User engagement higher
Technologydominates
Less complex
More complex
Atun and Kyratsis 2007
Behaviourdominates
© Professor Rifat Atun. Imperial College London, 2008
The Adoption System
• Receptivity • Individual & organisational
• Political economy• Incentives
– agency/provider/user incentive alignment
• Legitimacy– Cognitive
– Technical
– Normative
– Economic
© Professor Rifat Atun. Imperial College London, 2008
Health System Characteristics
• Feasibility • Governance
• Structure and organization
• Financing
• Provider payment methods
• Resource availability
• Service delivery
• M&E system
© Professor Rifat Atun. Imperial College London, 2008
The Context
• Sustainability
• Attributability
• Fiscal space– Overall and health sector
specific
• Frailty
• Reporting needs
© Professor Rifat Atun. Imperial College London, 2008
The Context
• Opportunity
• Desirability
• Critical events– Visibility
• Synergy
• Technology / innovation
• Political economy
• Socio-cultural factors
© Professor Rifat Atun. Imperial College London, 2008
Analysing the extent and nature of integration
© Professor Rifat Atun. Imperial College London, 2008
Integration into Critical Health System Functions
1. Governance– Reporting– Accountability
2. Financing– Pooling– Provider payment
3. Planning – Needs assessment– Priority setting – Resource allocation
© Professor Rifat Atun. Imperial College London, 2008
Integration into Critical Health System Functions
4. Service Delivery– Structural
• Human resources, • Shared infrastructure
– Operational integration• Supply chain• Guidelines• Procurement
5. Monitoring and Evaluation– Data collection and analysis
6. Demand Generation– Financial incentives – e.g. CCT, insurance– Population interventions – e.g. education and promotion
© Professor Rifat Atun. Imperial College London, 2008
Intervention Complexity
Few Many
Single
Multiple
Dengue - Cuba Malaria - Colombia
Schistosomiasis - Brazil, Burundi, Cameroon, China, Saudi Arabia, Uganda
Leprosy - India, Sri Lanka
Onchocerciasis - Uganda
Nutrition - Peru, etc.
IMCIICDS
Dular - India
FP/MCH - Matlab, Bangladesh
FP/MCH - Pakistan - LHWPFP/MCH - Nepal (Tuladhar)
HIV/AIDS - Haiti
STD - Mbofana
FP; STD - Lafort
Mental health - WhettenSubstance abuse - Friedmann
Intervention
elements
Intervention frequency/number of episodes
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Fully integrated
Partially integrated
Not integrated
? Unknown
Most to all outcomes
Mixed outcomes
Few to no outcomes
? Unknown
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Cuba (ToledoRomani2007)
Colombia (Rojas2001)Malaria
Dengue
Service deliv
ery
Finance
Governance
Demand generatio
n
Monitorin
g & E
valuation
?
Planning
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Service d
elivery
Finance
Governance
Demand g
eneratio
n
Monitorin
g & E
valuatio
n
Planning
Schistosomiasis control
Burundi (Engels1993,1995)
Cameroon (Bausch1995,Cline1996)
China (Sleigh1998)
Saudi Arabia (Ageel 1997)
Brazil (Filho1992)
?
?
?
?
?
?
?
?
?
?
?
Uganda (Kabatereine 2006)
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Service d
elivery
Finance
Steward
ship/G
overnance
Demand g
eneratio
n
Monitorin
g & E
valuatio
n
Planning
India (Rao 2002, Thakar 2003)
Leprosy
Sri-Lanka (Kasturiaratchi 2002)
??
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Service d
elivery
Finance
Governance
Demand g
eneratio
n
Monitorin
g & E
valuatio
n
Planning
Peru
Nutrition
Bangladesh (Hossain2005) ??
Various (Deitchler2004) ?
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Service d
elivery
Finance
Governance
Demand g
eneratio
n
Monitorin
g & E
valuatio
n
Planning
IMCI*
ICDS - India (Agarwal2000, Kapil1999)
Child health & development
Dular - India (Dubowitz2007)
?
?
?
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Service d
elivery
Finance
Governance
Demand g
eneratio
n
Monitorin
g & E
valuatio
n
Planning
Bangladesh – FPHSP (Philips1984, de Graff 1986)
Pakistan – LHWP (Douthwaite 2005)
Family Planning services
Nepal (Tuladhar 1982)
?
?
?
?
?
?
?
?
?
© Professor Rifat Atun. Imperial College London, 2008
Extent of integration & success as documented in studies
Success
Service d
elivery
Finance
Steward
ship/G
overnance
Demand g
eneratio
n
Monitorin
g & E
valuatio
n
Planning
Haiti (Peck 2003)
HIV/AIDS & STD services
? ??
© Professor Rifat Atun. Imperial College London, 2008
Conclusions
1. Extent and nature of integration varies
2. Context matters: complex adaptive systems at play
3. Reductionist approaches counterproductive: aim to ‘unpack’ what is meant by integration
© Professor Rifat Atun. Imperial College London, 2008
Case Study Approach
• Exploratory
• Descriptive
• Explanatory
© Professor Rifat Atun. Imperial College London, 2008
Design
Logic of design key
Single Multiple
Holistic
Embedded
Russia TB
Estonia PHC
Russia HIV
Africa HIV
Euro PHC
Tech adoption
Baltic PPP
© Professor Rifat Atun. Imperial College London, 2008
Embedded units
• HIV
• TB
• Malaria
• NTDs
• Regions
© Professor Rifat Atun. Imperial College London, 2008
Analytic vs. Statistical Generalisation
• Cases not sampling units but each akin to an individual ‘experiment’
• Analytic generalisation using theory developed a prioriReplication logic– n number of case studies support the same theory– n number of case studies do not support a rival theory
• Statistical generalisationSampling logic
© Professor Rifat Atun. Imperial College London, 2008
Careful case selection
• Literal replication– Each predict similar results (n=4)
• Theoretical replication– Predict contrasting results --- but for predictable
reasons (n=4)
© Professor Rifat Atun. Imperial College London, 2008
Theoretical framework and propositions key
• State the conditions under which particular phenomena are likely to be found– Allows literal replication
• State the conditions when particular phenomena are not likely to be found– Allows theoretical replication
© Professor Rifat Atun. Imperial College London, 2008
Closed vs. flexible design
• Closed but with inductive analysis– Retain replication logic– Build theory as an output– Test ‘additional’ new/alternative propositions
• Flexible and inductive– Risk of drift
© Professor Rifat Atun. Imperial College London, 2008
One or two tail design
• Good outcome
• Good and poor outcome
© Professor Rifat Atun. Imperial College London, 2008
Data
• Mixed methods
• Multiple sources
• Inductive
• Iterative
• Triangulation
© Professor Rifat Atun. Imperial College London, 2008
Process
Agree theory
Generate
propositions
Analytical tools
approach & d/base
Pilot cases
Case studies Case studies
Refine tools
Literal replication Theoretical replication
Explanatory theory & Evidence
Propositions Rival propositions
Construct validity Reliability
Construct validity
Internal validity
Internal validity External validity