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Prepared By-Dr. krishna pratap
MPH -1st Year
Roll No. 202310204070011
 Evidence generation is multidimensional,
including data sourse, study design and
degree of pragmatism .
 Real- world evidence is defined by data
source and degree of pragmatism
independent of study design.
 Randomized controlled trials have been the
gold standard for evidence generation across
all areas of medicine,as they allow unbiased
estimates of treatment effect without
confounders.
 Ideally,every medical treatment or
intervention should be tested via a well –
powered and well controlled .
 NEED TO BE-
 Focused on the key needs of stakeholders
 Aligned with the key value drivers of
stakeholders
 Aligned with key commercial drivers
 Optimally communicated to the stakeholders
 Internal stakeholder input and validation
 Define parameters that demonstrate product
value
 Disease area, treatment landscape and col
analysis
 Competitor analysis
 External stakeholder needs analysis
 Evidence-based prioritization of clinical and
value needs/gaps
 Analysis of evidence generation modalities to
fill needs /gaps
 Establish rationale and clinical value of the
study/data
 Engage stakeholders and generate
anticipation for the results
 Extend the reach of the data
 ENHENCE ENGEMENT AND REDUCE THE
BURDEN TO DRIVEN ENROLLMENT AND
RETENTION-
 Ensure physicians understand the scientific
value of the plan
 Provide sites with tools to engage and
explain the value to patients,as requied
 Ensure MSLs understand the scientific value
of the plan
 Adopt a patient –centric approach throughout
the process
 Trials in progress /methology publications
 Rapid publication of study design/baseline
data at LPI
 Interim analyses abstracts
 Simultaneous publication of final results
 Lay summaries
 Sub –population analyses and output
 W. F. Sharpe (1964)
 Rajvir bhalwar
 C Chipeta · 2012 ·
 In conclusion, better evidence can lead to
health improvement in the same way as
direct delivery of healthcare .
 Quantitative appraisals of evidence
generation activities are important and
should reflect the impact of improved
evidence on population health.
PPT on ‘Relation between UHC and Health Systems Strengthening’.

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PPT on ‘Relation between UHC and Health Systems Strengthening’.

  • 1. Prepared By-Dr. krishna pratap MPH -1st Year Roll No. 202310204070011
  • 2.  Evidence generation is multidimensional, including data sourse, study design and degree of pragmatism .  Real- world evidence is defined by data source and degree of pragmatism independent of study design.
  • 3.  Randomized controlled trials have been the gold standard for evidence generation across all areas of medicine,as they allow unbiased estimates of treatment effect without confounders.  Ideally,every medical treatment or intervention should be tested via a well – powered and well controlled .
  • 4.  NEED TO BE-  Focused on the key needs of stakeholders  Aligned with the key value drivers of stakeholders  Aligned with key commercial drivers  Optimally communicated to the stakeholders
  • 5.  Internal stakeholder input and validation  Define parameters that demonstrate product value  Disease area, treatment landscape and col analysis  Competitor analysis  External stakeholder needs analysis  Evidence-based prioritization of clinical and value needs/gaps  Analysis of evidence generation modalities to fill needs /gaps
  • 6.  Establish rationale and clinical value of the study/data  Engage stakeholders and generate anticipation for the results  Extend the reach of the data
  • 7.  ENHENCE ENGEMENT AND REDUCE THE BURDEN TO DRIVEN ENROLLMENT AND RETENTION-  Ensure physicians understand the scientific value of the plan  Provide sites with tools to engage and explain the value to patients,as requied  Ensure MSLs understand the scientific value of the plan  Adopt a patient –centric approach throughout the process
  • 8.  Trials in progress /methology publications  Rapid publication of study design/baseline data at LPI  Interim analyses abstracts  Simultaneous publication of final results  Lay summaries  Sub –population analyses and output
  • 9.  W. F. Sharpe (1964)  Rajvir bhalwar  C Chipeta · 2012 ·
  • 10.  In conclusion, better evidence can lead to health improvement in the same way as direct delivery of healthcare .  Quantitative appraisals of evidence generation activities are important and should reflect the impact of improved evidence on population health.