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Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

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Page 1: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

Série Temporal em Estudos de Saúde

PúblicaClarice Amorim e Jessica Johnson

Page 2: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

Interrupted Time-Series

Clarice Amorim & Jessica Johnson

Page 3: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

● Overview of Interrupted Time-Series (ITS)

○ Types of Designs○ Validity Threats○ Statistical Techniques

● The Debate● Applying ITS to the “real world”

Overview

Page 4: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

“Large series of observations made on the same variable consecutively over time” (Shadish, Cook,

& Campbell)

What is Interrupted Time-Series? (ITS)

● The key in ITS designs is knowing exactly when the independent variable was manipulated, or when the intervention was introduced.

● Repeated measurements allow us to identify patterns of change: manipulating the independent variable (introducing an intervention) should cause changes in the level and/or slope of the regression line.

● ITS designs can also demonstrate variability over time (continuous or discontinuous effects, immediate or delayed effects).

Page 5: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

Source: http://xkcd.com/418/

Page 6: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

• Two basic types of multiple baseline designs (MBDs):o One outcome measured across several cases

at different points in time.o Several outcomes measured on one case,

the intervention applied to one outcome at a time.

• Assumptions?• Advantages?• Disadvantages?

Types of ITS designs

Page 7: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

O1 O2 O3 O4 O5 X O6 O7 O8 O9 O10

O1 O2 O3 O4 X O5 O6 O7 O8 O9 X O10 O11 O12

O1 O2 O3 O4 X1 O5 O6 O7 O8 O9 X2 O10 O11 O12

Types of ITS designs

Page 8: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson
Page 9: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

● Internal Validity ○ History○ Instrumentation○ Selection

● Statistical Conclusion Validity

● Construct Validity● External Validity

Major validity threats

http://xkcd.com/605

Page 10: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

Autocorrelation

Statistical Techniques for ITS

Page 11: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

● ARIMA modeling● C-test● ITS Experiment method● ITSACORR● Latent Growth Modeling● Meta-Analysis

Statistical Techniques for ITS

Page 12: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

Is the interrupted time series an experiment?

a debate

Page 13: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

● Calling ITS an experiment does not equate it to RCT

● Power of nomenclature● Depends on the purpose of your

study

Summary of the debate

Page 14: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

“It might be objected that in community intervention research, one is testing complex, multi-faceted interventions, often involving a series of efforts, and that it will be difficult to sort out which activities contributed to any changes that are observed. […] Practical experience suggests, however, that one emerges from the first effort with a good deal of clarity about how to streamline the intervention”

(Biglan 2000:40)

Systematic Replication

Page 15: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

“Effect of pay for performance on the management and outcomes of hypertension in the United Kingdom: interrupted time series study”

Article Reading

Page 16: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson

What are some of the threats to validity?

How would you improve the study?

What are the implications of these “null” findings?

Article Discussion Questions

Page 17: Série Temporal em Estudos de Saúde Pública Clarice Amorim e Jessica Johnson