systematising the process : the role of psms in informing model structure

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Systematising the process : the role of PSMs in informing model structure Jim Chilcott Technical Director, ScHARR-TAG Suzy Paisley DoH Research Scientist in Evidence Synthesis Paul Tappenden Senior OR Analyst Consensus Working Group on the Use of Evidence in Economic Decision Models MRC HSRC Workshop 26 September 2005

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Systematising the process : the role of PSMs in informing model structure. Jim Chilcott Technical Director, ScHARR-TAG Suzy Paisley DoH Research Scientist in Evidence Synthesis Paul Tappenden Senior OR Analyst Consensus Working Group on the Use of Evidence in Economic Decision Models - PowerPoint PPT Presentation

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Page 1: Systematising the process : the role of PSMs in informing model structure

Systematising the process : the role of PSMs in informing model structure

Jim ChilcottTechnical Director, ScHARR-TAG

Suzy PaisleyDoH Research Scientist in Evidence Synthesis

Paul TappendenSenior OR Analyst

Consensus Working Group on the Use of Evidence in Economic Decision Models MRC HSRC Workshop 26 September 2005

Page 2: Systematising the process : the role of PSMs in informing model structure

Before we start…

Page 3: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Today’s presentation

Define ‘structuring’ within the modelling process

Describe current practice– Evidence used– Tasks undertaken

Discuss ‘What role problem structuring methods (PSMs)?’

Page 4: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Defining model structuring

Disease and treatment pathway

Model scope Modelling method

Page 5: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Current practice:HTA Guidelines

HTA guidelines (n=32)

None 17 (53%)

Description 2 (6%)

Justification 4 (13%)

Sensitivity analysis 5 (16%)

Not available 4 (13%)

Page 6: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Current practice:Modelling guidelines (Philips et al.,2004)

Statement of problem

Justification of approach

Scope / perspective Structural

assumptions Consistency

Strategies / comparators

Model type Time horizon Health states Cycle length Parsimony

Page 7: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Current practice:Reported (Cooper et al., 2005)

HTA monographs (n=42)

Diagram of model 26(62%)

Model structure

and assumptions discussed 5 (12%)

Page 8: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Current practice:Observed

8 case study projects Description model structuring process Short, semi-structured interviews Examination of corresponding study

reports

Page 9: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Evidence consulted

Subject Clinical literature

Clinical expert (one-off)

Clinical expert (ongoing)

Existing models

1 2 3 4 5 6 7 8

TOTAL 8 (100%) 1 (13%) 5 (63%) 8 (100%)

Page 10: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Reporting

Subject Methodology justified Health states /pathways justified?

Source of structural assumptions reported?

1 Report not yet available

2 3 4 5 6 7 8 TOTAL 5 (71%) 2 (29%) 3 (43%)

Page 11: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Summary of themes

Model structure amended according to data availability

Clinician input (1st order validation) Existing models consulted as 1st step Iterative structuring process Complexity of structure shifted both ways Very limited reporting process of development MSc dissertation provided most transparent

reporting

Page 12: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Current practice:Evidence used

Clinical expertise Published evidence Existing models

Natural history Treatment pathway Modelling method Effectiveness

evidence

Page 13: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Current practice:Tasks undertaken

Iteration Consultation Evaluation and comparison Feedback and clarification Decisions regarding simplicity,

complexity, feasibility and inconsistency

Page 14: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Why PSMs?

Lack of transparency Data modelling vs problem modelling Validity of model (unquestioned

question) Issues that ‘can’t be modelled’ ‘Not qualified to comment’

Page 15: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Why PSMs?

Data led models vs evidence informed models

Use of expert opinion Implicit use of PSM methods Observed usefulness of action research

process

Page 16: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

PSMs / MSMs

Messes Problems

SODA

SSM

SCA

Robustness Analysis

Drama Theory

Decision Conferencing

?

Decision analysis

Markov

Queuing theory

Simulation

Game Theory

Page 17: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Characteristics of PSMs

Techniques to facilitate exploration / definition of a problem situation

Group based Uncovering options Enabling group action Accepting uncertainty Managing conflict Facilitator - analyst

Page 18: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

SODA

Individual interviews =>

Merge maps =>

Group workshops =>

Commitment to action

Cognitive mapsGroup mapExpand/refine map Group ownership

Page 19: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

SSM

Enter situation Take action to improve theconsidered problematic problem situation

Define possible changes which areboth desirable and feasible

Express the problem situation

Compare models with the real worldReal world

Systems thinking about the real world

Formulate root Build conceptual models definitions of the systems named in

the root definitions

Page 20: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Pros Problem structuring, not problem

solving Gathering information, generating ideas Retain flexibility in early stages Demonstrate understanding of

complexity, diversity and inconsistency Prioritising and simplifying

Page 21: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Cons

Methods development required Adaptation to HTA context New skills Ownership Facilitation of group decision making Reproducibility

Page 22: Systematising the process : the role of PSMs in informing model structure

Consensus Working Group on the Use of Evidence in Economic Decision Models

Developing a mixed method

‘Soft’ qualitative structuring process

‘Hard’ analytic

methods

Qualitative model structuring process to inform quantitative decision-making process.