Health Impact Evaluation & HTA in FI-STAR Shahryar Eivazzadeh - - PowerPoint PPT Presentation

health impact evaluation hta in fi star
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Health Impact Evaluation & HTA in FI-STAR Shahryar Eivazzadeh - - PowerPoint PPT Presentation

Health Impact Evaluation & HTA in FI-STAR Shahryar Eivazzadeh The Situation of Evaluation in Literature Aspects Efficacy Efficiency Safety Indicators Objective M&M KPIs Subjective QALY (q


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SLIDE 1

Health Impact Evaluation & HTA in FI-STAR

Shahryar Eivazzadeh

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SLIDE 2

The Situation of Evaluation in Literature

  • Aspects

– Efficacy – Efficiency – Safety

  • Indicators

– Objective

  • M&M
  • KPIs

– Subjective

  • QALY (quality-adjusted life year)

– Method based – Template based

  • EQ-5D
  • SF-36
  • HTA

– Favors RCT but also includes cohort studies – Decision oriented

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SLIDE 3

eHealth Evaluation Situation

  • Absence of QALY (research gap)

– Too deep? – What about others DALY, WTP, CUA, CER, …?

  • Other KPIs
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SLIDE 4

HTA

  • Beginning 70s
  • Originated in the US, but left there there later
  • Sweden was a pioneer in EU
  • Future: “It is likely that HTA of the future will

move more closely to the idea of comparative effectiveness”

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SLIDE 5

Two approaches

  • Subjective:

– Patient related (such as)

  • QALY

– Method based – Template based

  • EQ-5D
  • SF-36

– Other stakeholders ...

  • Objective:

– KPIs – …

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SLIDE 6

Assessing Health Technologies

  • Limitations:

– Years after the intervention – The impacts cannot be attributed solely to the intervention

  • Solution:

– Focusing on leading indicators instead of lagging ones – Utilizing Bayesian methods, such as:

  • EVSI (Expected Value of Sample Information)
  • EVIU (Expected Value of Including Uncertainty )
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SLIDE 7

HTA

“It is likely that HTA of the future will move more closely to the idea of comparative effectiveness” (Banta & Jonsson 2009)

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SLIDE 8

… therefore changes in the KPIs are in focus

  • change in Waiting times
  • change in Average length of stay
  • change in Number of patients in sections

– Bed occupancy –

  • change in Hospital acquired infections (HAI)
  • change in Inpatient mortality rate
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SLIDE 9

Mixing in levels

1.High level (such as QALY) 2.Health KPI level 3.Software KPIs

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Using Leading KPIs instead of Post- Intervention Evaluations

Evaluation space by KPIs Evaluation space by post-intervention evaluations Evaluation space by post-intervention evaluations

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Safety in FI-STAR

– Avoiding mis-information – Avoiding unreliable substitution – Being resilient in its critical mission

  • To user input
  • To environmental situations

– Be replaceable – ...