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USING EQUIST FOR
BOTTLENECK ANALYSIS
Cameroon’s experience.
Dr.	
  AMANI	
  Adidja	
  MD	
  MPH	
  
ENAP	
  FORUM	
  Dakar,	
  	
  31Oct-­‐5th	
  Nov	
  2016	
  
PROCESS
•  2013-2014 Bottleneck analysis based on the 6
pillars of the health system and the key
interventions
•  More of a shopping list – Severity of
bottleneck not quantified
•  2015- GFF initiative: Investment case
•  2016-Capacity building on Equist for the
situational analysis=è>> Sharpened analysis
•  Review and update the newborn operational
About EQUIST
•  EQUIST : The EQUitable Impact Sensitive Tool
Medium-term analysis and strategic
planning tool to improve child and maternal
health as well as nutrition equity in
developing and middle-income countries
•  Assessing coverage determinants for deprived
populations
•  Prioritizing bottlenecks to be addressed
PARTICIPANTS
•  The process was highly consulative and
participative
•  MoH: Different Departments, EPI, HIV
•  Consultants
•  National Institute of Statistics
•  Partners: WHO, UNICEF, UNFPA, UNAIDS, WB
Bilateral: GIZ
•  Professional associations
•  Civil Society
Coverage Bottleneck Framework
Social	
  Norms	
  
	
  
	
  
Availability	
  of	
  	
  essenFal	
  commodiFes	
  
Geographic	
  access	
  
Financial	
  affordability	
  
Social	
  Acceptability	
  
Enabling	
  Environment	
  
Policies/	
  
legislaFon	
  
	
  
Budget/	
  
expenditures	
  
	
  
Governance	
  
	
  
	
  
Ini9al	
  U9lisa9on	
  
dis-­‐con9nui9on	
  
Poor	
  Quality	
  	
  
Effec9ve	
  
coverage	
  
Adequate	
  coverage	
  	
  
Non-­‐U9lisa9on	
  
In-­‐accessibility	
  
Un-­‐affordability	
  
Un-­‐availability	
  
Un-­‐acceptability	
  
Coverage	
  Determinant	
   Absolute	
  BoDleneck	
  
Quality	
  of	
  care	
  
Con9nuity	
  &	
  9ming	
  
poor	
  quality/adequate	
  coverage	
  	
  
discon9nui9on/u9liza9on	
  
Contribu9ng	
  BoDleneck	
   Rela9ve	
  BoDleneck	
  
BoRle	
  Neck	
  analysis	
  	
  
e	
  service	
  
ADDED	
  VALUE	
  OF	
  THE	
  EQUIST	
  
1.	
  Définir	
  les	
  
populaFons	
  prioriFaires	
  
2.	
  Prioriser	
  les	
  sujets	
  
de	
  santé	
  
3.	
  Prioriser	
  les	
  
intervenFons	
  
4.	
  Prioriser	
  les	
  goulots	
  
5.	
  Analyser	
  les	
  causes	
  
des	
  goulots	
  
6.	
  SélecFonner	
  les	
  
stratégies	
  	
  
7.	
  EsFmer	
  l’impact	
  et	
  le	
  
coût-­‐efficacité	
  
CHALLENGES
•  Availability of updated validated data for the tool to
generate information needed ( Source: DHS, MICs,
Child Mortality estimates, coverage surveys,…)
•  Ability to select the relevant the information generated
by EQUIST for the investment plan
•  Proper use of the tool at the regional and district levels
•  High speed internet connection needed to use the tool
easily
•  Adolescents: data needed
•  CRVS : Comprehensive evaluation ongoing
Lessons learned
•  Garbage in , garbage out= the quality of data
used to populate the tool is very important
•  Availability of updated validated data for the tool
to generate information needed ( Source: DHS,
MICs, Child Mortality estimates, coverage
surveys,…)
•  Need to associate districts and stakeholders in
the field
•  enough time for bottleneck analysis and
development of scenarios
•  The technical support should continue countries
need to be accompanied all along the process
Lessons learned
•  Adolescents health- bottleneck analys was done
aside
•  Improving data quality and completeness upfront should
be at the center of the GFF preparation in countries
•  Search and gather all existing required data well in
advance to optimize the time.
•  Need to collect disaggregated data to have an impact
USING EQUIST FOR BOTTLENECK ANALYSIS�

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USING EQUIST FOR BOTTLENECK ANALYSIS

  • 1. USING EQUIST FOR BOTTLENECK ANALYSIS Cameroon’s experience. Dr.  AMANI  Adidja  MD  MPH   ENAP  FORUM  Dakar,    31Oct-­‐5th  Nov  2016  
  • 2. PROCESS •  2013-2014 Bottleneck analysis based on the 6 pillars of the health system and the key interventions •  More of a shopping list – Severity of bottleneck not quantified •  2015- GFF initiative: Investment case •  2016-Capacity building on Equist for the situational analysis=è>> Sharpened analysis •  Review and update the newborn operational
  • 3. About EQUIST •  EQUIST : The EQUitable Impact Sensitive Tool Medium-term analysis and strategic planning tool to improve child and maternal health as well as nutrition equity in developing and middle-income countries •  Assessing coverage determinants for deprived populations •  Prioritizing bottlenecks to be addressed
  • 4. PARTICIPANTS •  The process was highly consulative and participative •  MoH: Different Departments, EPI, HIV •  Consultants •  National Institute of Statistics •  Partners: WHO, UNICEF, UNFPA, UNAIDS, WB Bilateral: GIZ •  Professional associations •  Civil Society
  • 5. Coverage Bottleneck Framework Social  Norms       Availability  of    essenFal  commodiFes   Geographic  access   Financial  affordability   Social  Acceptability   Enabling  Environment   Policies/   legislaFon     Budget/   expenditures     Governance       Ini9al  U9lisa9on   dis-­‐con9nui9on   Poor  Quality     Effec9ve   coverage   Adequate  coverage     Non-­‐U9lisa9on   In-­‐accessibility   Un-­‐affordability   Un-­‐availability   Un-­‐acceptability   Coverage  Determinant   Absolute  BoDleneck   Quality  of  care   Con9nuity  &  9ming   poor  quality/adequate  coverage     discon9nui9on/u9liza9on   Contribu9ng  BoDleneck   Rela9ve  BoDleneck  
  • 6. BoRle  Neck  analysis     e  service  
  • 7. ADDED  VALUE  OF  THE  EQUIST   1.  Définir  les   populaFons  prioriFaires   2.  Prioriser  les  sujets   de  santé   3.  Prioriser  les   intervenFons   4.  Prioriser  les  goulots   5.  Analyser  les  causes   des  goulots   6.  SélecFonner  les   stratégies     7.  EsFmer  l’impact  et  le   coût-­‐efficacité  
  • 8. CHALLENGES •  Availability of updated validated data for the tool to generate information needed ( Source: DHS, MICs, Child Mortality estimates, coverage surveys,…) •  Ability to select the relevant the information generated by EQUIST for the investment plan •  Proper use of the tool at the regional and district levels •  High speed internet connection needed to use the tool easily •  Adolescents: data needed •  CRVS : Comprehensive evaluation ongoing
  • 9. Lessons learned •  Garbage in , garbage out= the quality of data used to populate the tool is very important •  Availability of updated validated data for the tool to generate information needed ( Source: DHS, MICs, Child Mortality estimates, coverage surveys,…) •  Need to associate districts and stakeholders in the field •  enough time for bottleneck analysis and development of scenarios •  The technical support should continue countries need to be accompanied all along the process
  • 10. Lessons learned •  Adolescents health- bottleneck analys was done aside •  Improving data quality and completeness upfront should be at the center of the GFF preparation in countries •  Search and gather all existing required data well in advance to optimize the time. •  Need to collect disaggregated data to have an impact