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Health Technology Assessments and Systematic Reviews Health Technology Assessments and Systematic Reviews

Health Technology Assessments and Systematic Reviews - PowerPoint Presentation

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Health Technology Assessments and Systematic Reviews - PPT Presentation

Marcia Reinhart DPhil CMPP Principal Tantalus Medical Communications Many definitions H ealth T echnology A ssessments Technology assessment in health care is a multidisciplinary field of policy analysis It studies the medical social ethical and economic implications of developm ID: 737204

treatment cost difference analysis cost treatment analysis difference drug effectiveness effect care clinical acupuncture research costs evidence technology health

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Slide1

Health Technology Assessments and Systematic Reviews

Marcia Reinhart, DPhil CMPP

Principal, Tantalus Medical CommunicationsSlide2

Many definitions

H

ealth

Technology Assessments

“Technology assessment in health care is a multidisciplinary field of policy analysis. It studies the medical, social, ethical, and economic implications of development, diffusion, and use of health technology.”

– International Association of HTA (INAHTA)

“A form of policy research that examines short- and long-term consequences of technology. . . safety, efficacy, patient-reported outcomes, real-world effectiveness, cost, and cost-effectiveness as well as social, legal, the application of a health-care ethical, and political impacts.”

– International Society for Pharmacoeconomics and Outcomes Research (ISPOR)Slide3

Regardless of the technology assessed, HTAs include similar elementsSlide4

HTAs are used to support many health care decisionsSlide5

Governments/private insurers determine the

price

and

availability

of drugs via formulary designation

What is 'Market Access'?

Figure: Eichler GH

et al. Nat Rev Drug Discov

2010;9:277-91.Slide6

Just as health care systems vary worldwide, the payer assessment process differs from country to country

Market Access around the worldSlide7

National/regional government-based agencies

Independent academic

or consulting

groups

Who

conducts and uses

 HTAs?Slide8

HTAs as part of the market access continuum

How do HTAs fit into the decision-making process?

Payer often agrees with HTA agency, although may be influenced by additional factorsSlide9

Cochrane Collaboration definition:“…

attempts to identify, appraise and synthesize all the empirical evidence that

meets pre-specified eligibility criteria to answer a given research question

. Researchers conducting systematic reviews use explicit methods aimed at minimizing bias, in order to produce more reliable findings that can be used to inform decision making

.”

Systematic review – an essential step of the HTA processSlide10

Define research

question

Develop study inclusion/exclusion

criteriaPatientsI

ntervention(s)

C

omparator(s)

OutcomesStudy typeDevelop literature search strategy Typically conducted across

multiple databasesSearch strategies should be broad enough to capture all relevant publications, but narrow enough to avoid excessive irrelevant informationScreen studies for inclusion and collect relevant data

Systematic review: process

PICOSSlide11

Define research

question

Example –

acupuncture for the treatment of fibromyalgiaSlide12

Define research

question

Develop study inclusion/exclusion

criteriaP

atients

Example –

acupuncture for the treatment of fibromyalgia

Age?

Diagnostic criteria?

Comorbidities?

Disease severity?Ethnicity?Slide13

Define research

question

Develop study inclusion/exclusion

criteria

P

atients

I

ntervention(s)Example – acupuncture for the treatment of fibromyalgia

Definition of acupuncture?

Frequency?Adjunct therapies?Slide14

Define research

question

Develop study inclusion/exclusion

criteria

P

atients

I

nterventionComparator(s)

Example – acupuncture for the treatment of fibromyalgiaNo treatment?

Placebo?

Other TCM techniques?Drugs?

Physical therapy?Slide15

Define research

question

Develop study inclusion/exclusion

criteria

P

atients

I

ntervention(s)C

omparator(s)OutcomesExample – acupuncture for the treatment of fibromyalgia

Pain reduction?

Days off work?Physical function?

Quality of life?

Adverse events?

Fatigue?Slide16

Define research

question

Develop study inclusion/exclusion

criteria

P

atients

I

ntervention(s)C

omparator(s)OutcomesS

tudy typeExample – acupuncture for the treatment of fibromyalgia

RCTs?Non-RCTs?

Quasi-randomized?

Economic evaluations?

Real-world evidence?Slide17

Small group exercise – develop PICOS criteriaSlide18

Develop literature search strategy

Use both indexing terms (e.g. MeSH) and plain text terms

Draft searches to identify studies in categories (e.g. disease terms, intervention terms), combined at end

Example – acupuncture for the treatment of fibromyalgia

Disease termsSlide19

Develop literature search strategy

Example – acupuncture for the treatment of fibromyalgia

T

herapy terms

CombinedSlide20

Develop literature search strategy

Example – acupuncture for the treatment of fibromyalgiaSlide21

Screen studies for inclusion

Example – acupuncture for the treatment of fibromyalgiaSlide22

Multiple studies are combined statistically to reveal the overall effect of an intervention

A

summary (pooled)

effect estimate is calculated as a

weighted average

of the

effects

estimated in the individual studiesData extraction and synthesis: The meta-analysis

Individual studiesBox represents estimated effectLines represent 95% CI

Size of box represents weightingSummary intervention effectSlide23

Meta-analysis for mean difference in pain

Example – acupuncture for the treatment of fibromyalgiaSlide24

A bias is a systematic error, or deviation from the truth, in results or inferencesSelection, performance, detection, attrition, reporting

Several tools have been developed to assess bias

Risk of biasSlide25

NICE

single technology appraisal (STA

)

Section A – Decision problemDescription of technology under assessment

Context

Equality

Innovation

Statement of decision problemMay include >1 research question

Role of medical writers in HTAs Slide26

NICE

single technology appraisal (STA

)

Section B – Clinical and cost effectivenessClinical evidence

Cost effectiveness

Section C – Implementation

Assessment of factors relevant to

NHS/other partiesReferences

AppendicesRelated procedures for evidence submissionRole of medical writers in HTAs 

Systematic reviewMeta-analysis

Non-RCT evidenceSafety data

Systematic

review

for published analyses

Report and interpret results of own economic model(s)Slide27

Section B – Clinical and cost effectiveness

Clinical evidence

Example – new class of drug to treat rheumatoid arthritisSlide28

Section B – Clinical and cost effectiveness

Clinical evidence

Results from the systematic review:

Phase III clinical trial of new drug (B) vs placebo (A)

Phase II clinical trial of new drug (B) vs placebo (A)

3 RCTs of competitor (C) vs placebo (A)

2 RCTs of competitor (C) vs other competitor (D)

3 single-arm non-RCTsHow do we use this information to compare the new

drug (B) to competitors C and D??Example – new class of drug to treat rheumatoid arthritisSlide29

Network meta-analysis can be used to infer the comparative effectiveness of

treatments of interest that have

not been directly compared in trials

Network meta-analyses/indirect treatment comparisonSlide30

Section B – Clinical and cost effectiveness

Clinical evidence

Safety data

AEs from RCTs and non-RCTs

Post-marketing surveillance data (if available)

Other sources of real-world evidence

Example – new class of drug to treat rheumatoid arthritisSlide31

Section B – Clinical and cost effectiveness

Clinical evidence

Cost effectiveness

Example – new class of drug to treat rheumatoid arthritisSlide32

Cost difference (+)

Cost difference (−)

Effect

difference (+)

Effect

difference (

)

Dominated

Dominant

Trade-off

Trade-off

SC

A new treatment can be compared with an existing therapy based on its effect on

cost

and

effect differences

The cost-effectiveness plane

SC = standard careSlide33

In cost-utility

analyses, effectiveness is measured in quality-adjusted life years (QALYs)

QALYs incorporate

both quality and quantity of life gained from an intervention

Key concept: QALYs

Improvement of

quality

of life with new treatment

Estimated using

utility values

Improvement of

quantity

of life with new treatment

QALYs

without

new treatment

(standard care)

Time

QoL

Figure: adapted from McCabe C. Hayward Group Ltd.

2009Slide34

Incremental cost-effectiveness ratio

“costs per outcome” (cost-

effectiveness

analysis) or “costs per QALY” (cost-utility analysis)

Key concept: ICER

Costs

Treatment

– Costs

Standard careQALYsTreatment – QALYs

Standard care

= ICERSlide35

Key concept: ICER

Costs

Treatment

– Costs

Standard care

QALYs

Treatment

– QALYsStandard care

= ICER

Total costs

Life-years gained (LYG)

Utility

for LYG

QALYs

Treatment

$20,000

7

0.5

3.5

Standard Care

$10,000

5

0.6

3.0

Incremental

cost, Treatment vs Std. Care

Incremental

life-years

Incremental

cost/LYG

Incremental

QALYs

ICER

cost/QALY

$10,000

2

$5000/year

0.5

$20,000/

QALYSlide36

Optional group exercise – calculate the ICER of our new arthritis drugSlide37

Economic analysis: “willingness to pay” threshold

Cost difference (+)

Cost difference (−)

Effect

difference (+)

Effect

difference (

)

Reject

Accept

WTP threshold

SC

Some

countries/health care systems

use an official or unofficial threshold of acceptable ICERs for new technology assessments Slide38

Example – new class of drug to treat rheumatoid arthritis

Cost difference (+)

Cost difference (−)

Effect

difference (+)

Effect

difference (

)

Reject

Accept

WTP threshold

SC

An economic model determines that the ICER for the new drug is $40,000/QALY

If the WTP was $50,000/QALY, this drug would fall into the range of acceptable cost/QALY

XSlide39

Calculating costs per QALY requires estimation of several parametersu

tility values

cost of treatment

duration of treatment/patient lifespan (“time horizon”)Base case = best estimate

of all parameters

Sensitivity analyses test alternative parameter estimates to assess the range of possible results

Cost-utility: sensitivity analysisSlide40

ICER ($thousand/QALY)

Each parameter varied one-at-a-time over plausible range

One-way sensitivity analysis

Figure: Reynolds MR

et al.

Circ-Arrhythmia Elec

2009;2:362–69.

Tornado

diagram

base caseSlide41

Example – new class of drug to treat rheumatoid arthritis

Cost difference (+)

Cost difference (−)

Effect

difference (+)

Effect

difference (

)

Reject

Accept

WTP threshold

SC

Sensitivity analysis shows that the new drug may rise above the WTP threshold in certain circumstances

X

X

X

X

X

X

XSlide42

Scenario analysisSimilar to a one-way sensitivity analysis, however, assessments are made by varying multiple parameters at the same time

Example = best-case and worst-case analyses

Probabilistic sensitivity analysis

“Drug X has a 86% probability of falling within the WTP threshold of $50,000/QALY”More statistically complex; assesses distributions of data

for multiple inputs over the course of multiple simulations

Other sensitivity analyses used in HTASlide43

Cost-utility is not the only economic analysis used in HTAs

Cost-consequences analysis

Estimates cost and value of interventions, but leaves it to the reader to draw conclusions

Cost-minimization analysis

Compares input costs, but assumes outcomes are equivalent (e.g., bioequivalent drug comparisons)

Cost-effectiveness analysis

Measures costs in dollars and reports outcomes in natural health units (e.g., mmHg reduction) or ratios (differences in cost/difference in outcomes)

Cost-utility analysis

Measures outcomes based on years of life and quality of life obtained with treatment

Cost-benefit analysis

Enumerates and compares costs and benefits achieved in monetary terms

Budget impact analysis

Estimates effect of intervention on overall cost to organization or health planSlide44

Well-versed in literature searchingExperience with multiple databases and multiple interfaces (e.g. PubMed vs Ovid)

Attention to detail – screening and data extraction

Understanding of evidence grading systems

Knowledge of statistical methods (e.g. meta-analysis, NMA, sensitivity analyses)Understanding of health economic modelsExcellent writing skills

Desirable qualities in HTA medical writersSlide45

Thank you