IQuEST Work Package 1: Economic Modelling Do not reproduce without permission

Jon Tosh

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Presentation • What is an economic analysis? • What is modelling? • Complex modelling • How will modelling inform the IQUEST project? • The modelling process • The model

15/03/2011 © The University of Sheffield

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What is an economic evaluation?

• A new intervention/treatment/service structure? • A fixed budget to spend? • Need to evaluate the impact: • on resources (costs) • on patients (health benefits)

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What is an economic evaluation? • An economic evaluation is a widely used method to evaluate costs and health benefits • If a new intervention is more costly AND more effective, is it “value for money?”

• There is only so much money (pie) to go around

• Difficult decisions, but economic evaluations help 15/03/2011 © The University of Sheffield

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What is modelling? • A economic evaluation will require evidence

• This evidence may come from a number of sources • Modelling brings evidence together • A model is a simplification of reality • No offense Kate Moss 15/03/2011 © The University of Sheffield

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What is modelling? A simple model: • “Usual care” or “New drug” for terminally ill patients? • Evidence required? • Costs/use of resources • Life expectancy (effectiveness) of both treatments

• Quality of life whilst on treatment • Adverse events

• Evidence sources? • • • •

Costs = NHS data Life expectancy = trial data? Quality of life = trial data/mapping? Adverse events = trial data?/observational studies

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What is modelling? • “Essentially, all models are wrong, but some are useful?” G. Box 1987 • However, this does not mean that complex services cannot be modelled

• In fact, this is exactly when things should be modelled! • This is what we are trying to do in the IQUEST project 15/03/2011 © The University of Sheffield

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Complex Modelling

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Complex Modelling • The current service of care for patients with long-term depression is complex

• “Simple” modelling is unlikely to be useful • Modelling a small part of the system will not capture any impacts “down stream”

• New methods are being developed to inform modelling “Whole Disease Modelling” (Tappenden - University of Sheffield) • The Whole Disease Modelling methodological framework has been used in this project 15/03/2011 © The University of Sheffield

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Complex Modelling • Why build a Whole Disease Model (WDM)? • Depression is a chronic condition, what happens now will have an impact on the future • WDM models a patients‟ lifetime • WDM models the complete service

• WDMs are adaptable • Can potentially be used to answer any economic evaluation question • This means future modelling will be more efficient 15/03/2011 © The University of Sheffield

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Complex Modelling To undertake a Whole Disease Model 1.

Develop a Conceptual Model •

How does the current system work?



Draw from literature and experts

2. Develop a Mathematical Model •

Model the natural history of the disease



Evaluate the system with simulated patients



Draw from literature, data and experts

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Conceptual Model (understand the current system)

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Mathematical Model

(use the conceptual model to develop the mathematical model)

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How will modelling inform the IQUEST project? •

Conceptual modelling of the current system has value



Improving psychological therapies is likely to have: •

An impact on patients



An impact on resources



A model will allow us to test improvements to the system



Also “what ifs?” can be tested •

What if we could improve X? What is the impact?

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How will modelling inform the IQUEST project? Q: “Wow, that sounds great! But isn‟t it a bit ambitious?” A: “Yes! But the methods and tools are there to be used. It is a challenge, but we have the opportunity to improve care for patients”

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How will modelling inform the IQUEST project? •

Today, I‟ll explain how the model currently works



We can discuss how the model could be improved



We can think of some potential ways to improve the system



I can go away and put them through the improved model



We can come back in April, consider the results and decide which ones are best



Work Package 3 will take these and test them in the bench-marking study and the research service

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The model • A conceptual model has been developed • This provides an agreed basis for how the service for patients with long term depression is organised • The mathematical model is an extension of the conceptual model

• The mathematical model is in development • Searches for literature evidence are taking place • Data are being obtained from the Trust

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The model • Patients are simulated • Characteristics (age, gender, socio-economic status)

• History (2 previous depressive episodes or diagnosed dysthymia)

• The model has two „halves‟ 1.

Disease half

2.

System half



Represents the „patient‟ and the „service‟ •

The service impacts on the patient

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The disease half

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The disease half • Assume there is no health care system • The model assumes that a patient will have an episode of depression, followed by a period of feeling more „normal‟ • Relapsing/remitting model • Apologies if terms are a little crude

• The model treats dysthymia in the same way but • much longer disease episodes 15/03/2011 © The University of Sheffield

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The disease half • The patient can be in one of three health states: 1.

Depressive episode

2.

Normal

3.

Dysthymic episode



The patients „cycle‟ between these states through their lifetime, before moving to the final state



The model can capture varying levels of severity •

However requires detailed evidence

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The disease half • The model contains the functionality to record a patient‟s history • Number of previous episodes • Length of previous episodes

• This could be useful, because it allows data to be analysed by these variables • QUESTION FOR LATER – appropriate source of evidence for parameters? 15/03/2011 © The University of Sheffield

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The service half

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The service half • Now assume there is a health service established • Patients have the choice now to go and receive care

• The impact of the service is on the disease half of the model • Treatment will hopefully mean shorter, less severe and less frequent episodes • The model records the resources used as the patient accesses services

• In reality there is also a private sector and third service • Outside the possibilities of this model – a limitation • If patients don‟t enter the system, or drop out, we cannot truly know what happens to them

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The service half • In this model, resources are not fully constrained • Patients can access services, and are not bound by a shortage of clinicians/nurses etc • However the time taken to access services and move through the system is incorporated • If patients progress slowly through the system, then improvements may be due to the natural progression of their disease

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The service half EXAMPLE • Patient is simulated to have a depressive episode for 2 months

• Patient enters system (sees GP) after 1 month • Receives counseling, which is ineffective, is assessed and begins low intensity IAPT at 2 months, but depressive episode has just finished • Quicker entry to system, quicker initiation of treatment(s) may have benefited the patient • Completing treatment may not have a short term impact if episode ends naturally, but may have longer term impact • QUESTION FOR LATER – is this realistic? 15/03/2011 © The University of Sheffield

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The service half • This is an evidence challenge, it may explain (or be confounded by) patients „dropping out‟. They may feel better and stop attending • However some patients will drop out for other reasons • Assumption at the moment is that if patients do not complete a course of treatment, then the length of the current episode is determined by the disease half of the model • QUESTION FOR LATER - Is this a fair assumption? • Probably a conservative assumption, receiving part of a treatment course may have some benefit

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The service half • More likely to occur is that patients are simulated a long depressive episode, and fail to respond to treatments • This failure to respond triggers „step ups‟ through alternative treatments and secondary/tertiary services • These step ups have been identified in the conceptual model and NICE Clinical Guidelines

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The model • Disease half and Service half explain the overall concept of how the disease and service is modelled • The model retains specific sections of the service (primary, secondary and tertiary care)

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Disease Half

Service Half

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Presentation • The model simulates patients presenting to primary care • Once in the service patients can be referred between secondary and tertiary sectors • When discharged, a patient can only re-enter via primary care

Primary Care 15/03/2011 © The University of Sheffield

Secondary Care (CMHTs)

Tertiary Care (SPS)

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Primary Care • Primary Care includes a GP consultation, and then 4 possible treatments:



1.

Medical treatment

2.

Counseling

3.

IAPT (low intensity)

4.

IAPT (high intensity)

The model contains the functionality that patients will be tried on different treatments sequentially, but not in combination

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Primary Care • Evidence limited on which order treatments are usually given

• QUESTION FOR LATER – what might this be? • Variation likely between practices, and this can be modelled. A decision rule could be explored: • “Is it cost effective that all patients with symptoms/history of long term depression receive X first?”

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CMHTs • Community Mental Health Teams (CMHTs) • A referral to CMHT by Primary Care is assessed, and can be rejected (signposted to other services or returned to referrer) • A referral can be routine or urgent (difference in timing)

• A range of potential treatments for patients with LTD: • In general these are combinations of care coordination, medical treatments and individual CBT

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CMHTs • The model allows for monitoring of patients whilst under CMHT maintenance care • Maintenance therapy aims to prevent relapse/recurrence of depression

• If patient has responded to CMHT maintenance care then referred back to GP • Evidence of the effectiveness of these maintenance treatments will be used to model the treatments offered by CMHTs 15/03/2011 © The University of Sheffield

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SPSs • Specialist Psychological Services (SPS) • A referral to SPS comes from CMHT • Patients with complex or severe depression • Patients who have not responded to CMHT treatment

• Individual and group CBT offered • Other individual and group psychological therapies offered

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Conclusion • A whistle-stop guide to modelling, and the modelling work for the IQUEST Project

• Please feel free to ask questions now • We have provided worksheets with some questions for you • Please discuss these in your groups and we will have a period of feedback

• Thank you!

15/03/2011 © The University of Sheffield

Jon Tosh - Economic Modelling - 27.1.11.pdf

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