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Burying the Dodo: Why the Common Factors Debate is Not Over Yet

Robert J. DeRubeis

Department of Psychology University of Pennsylvania

Australian Regional Group Meeting Society for Psychotherapy Research Brisbane, 1 December, 2009 Key Collaborators

• Dan Strunk (Assistant Professor, the Ohio State University)

• Jay Fournier (on clinical internship at the Western Psychiatric Institute and Clinics) The Dodo Verdict

• A meme that thrives in the psychotherapy research community • What does it convey? • Why does it convey “it” so effectively? • If we could agree on a clear assertion related to the Dodo, or the Verdict, or its use in psychotherapy rhetoric, what could available findings tell us about the assertion? Meet the Dodo

From the University of Natural History From Wikipedia’s “Dodo” entry

• Raphus cucullatus, a flightless endemic to the island of .

• Has been extinct since the mid-to-late 17th century. Commonly used as the archetype of an extinct because its occurred during recorded human history, and was directly attributable to human activity.

• The word is probably related to the Dutch word “dodaars” ("knot-arse"), referring to the knot of on the Dodo’s hind end. Why the Dodo?

• Because it’s extinct?

• No. Because of what the Dodo famously said in ’s “Alice in Wonderland,” and how that saying has been applied to psychotherapy research findings. The Dodo, presenting Alice with a thimble to honor his proclamation that, after the Caucus race, “Everyone has won, and all must have prizes.” The connection between psychotherapy and the Dodo

• Saul Rosenzweig (1936) – Invoked the Dodo in reference to psychotherapy – First to conjecture that there are/were implicit common factors in diverse methods of psychotherapy – Made the conjecture absent empirical data • In 1975, Lester Luborsky revived the Dodo/psychotherapy connection, in his influential paper in the Archives of General Psychiatry , “Comparative studies of psychotherapies: Is it true that "Everybody has won and all must have prizes"? • Is now a common meme used to express (or deny) the view that “all psychotherapies are equally effective” A bit of irony

• Carroll used the scene to mock the futility of UK’s political caucuses.

• The “Caucus Race” was run helter-skelter, with no rules and no finish line (and Alice’s own thimble was returned to her by the Dodo as her “prize”).

• The saying might apply better, then, to reflect a belief that there have been few if any comparative psychotherapy studies with agreed-upon rules – not that we have identified any winners. Two contrasting views

The Dodo is a wise old bird The Dodo is an anachronism • Psychotherapy works (thus, • The effectiveness of a psycho- there cannot only be losers), therapy must be established and by research findings

• There are enough comparative • For many problems, some (and other) data to tell us that treatment(s) have been shown the type of therapy does not to be superior to other matter, so all are winners treatments

• Insofar as traditional therapies • In the absence of comparative have less evidence behind evidence, prefer the therapy them, absence of evidence does that has been shown to work not equal evidence of absence What is at stake?

• Curricula in training programs

• Funding of treatment by insurance companies and governments

• The direction of psychotherapy research What kind of evidence might (or should) strengthen or bury the Dodo?

Strengthen Bury • Strong evidence that • Strong evidence that variation in factors common variation in amount/quality to all treatments account of technique accounts for for a whole bunch of the outcome, over and above variance in outcome common factors

• Repeated demonstrations • Some replicable, trust- in comparative studies that worthy evidence that the differences are differences in important negligible outcomes result from two different treatments We haven’t all agreed on the ground rules for the race(s) • What do we make of the correlations between outcome and measures of common factors (e.g., the alliance)? • What size of effect (differences between treatments) is large enough for us to care about? • What kinds of studies need to be done before researchers will agree about whether Treatment A > Treatment B (under certain or all circumstances)? • How do we take into account the wisdom of the therapist? We haven’t all agreed on the ground rules for the race(s) • What do we make of the correlations between outcome and measures of common factors (e.g., the alliance)? Model of Change Process

Treatment Manipulation Patient Processes

Application of Acute Long-term Components Outcome Outcome

Active Extra- Components Competencies therapy Factors

Prognostic Indices Proposed contributors to the process of change

• Therapeutic Alliance – Meta-analysis, r = .22 (Martin et al. 2000) – Temporal confound in most studies

• Adherence to Methods of Cognitive Therapy – Two published studies from our research group – “Concrete” methods of CT predict subsequent change Strunk et al. (2009)

– Participants: 60 moderately to severely depressed adults – Symptom Measures • Beck Depression Inventory (BDI-II) • Hamilton Rating Scale for Depression Observer Rated Measures of Process – Concrete and Abstract Adherence – Working Alliance Inventory (WAI)

Intraclass correlations coefficients: .59 - .77 Sample Concrete Adherence Item

Examine Available Evidence : Did the therapist help the client to use currently available evidence or information (including the client’s prior experiences) to test the validity of the client’s beliefs?

1 2 3 4 5 6 7 Not at all some considerably extensively Session-to-Session Change

Session 1 Session 2 Session 3 Session 4 Session 5

Process Measure

Symptoms ()()()() r p Cognitive Therapy -- .41 .001 Concrete Cognitive Therapy -- .27 .04 Abstract Working Alliance .15 .96 Summary

• Adherence, especially concrete adherence, predicted session-to-session symptom change • Therapeutic Alliance did not predict symptom change • Is the null alliance finding an anomaly? Previous Studies with Forward Predictions

Correlation of Alliance and Statistically Study n Outcome Significant? DeRubeis & Feeley, 1990 25 r = .10 No Feeley, DeRubeis & 25 r = -.27 No Gelfand, 1999 Barber et al.,1999 252 r = .01 * No Barber et al., 2000 86 r = .30 * Yes Klein et al., 2003 367 r = .14 Yes Strunk et al., 2009 60 r = .15 No

* Indicates an average correlation when multiple outcome measures used We haven’t all agreed on the ground rules for the race(s) • What size of effect is big enough for us to care about?

How large was the observed drug vs. placebo advantage, in ES terms?

• For patients in the mild-to-moderate range, d = .11 • For patients in the severe range, d = .17 • For patients in the very-severe group, d = .47 Why we can’t expect big effects in psychotherapy research Potentially measurable aspects of the therapeutic process: • Fit – the correspondence between what the client most needs in order to thrive and change, and the therapeutic plan, based on the therapist’s judgment of the client’s needs. – It could – but need not – refer to the fit between a brand name therapy and a client’s needs. – Could refer to the aggregation of judgments and plans made by the therapist, in relation to the client’s needs at each moment. Potentially measurable aspects of the therapeutic process: • Fit – the correspondence between what the client most needs in order to thrive and change, and the therapeutic plan, based on the therapist’s judgment of the client’s needs.

• Implementation – the degree to which the therapist delivers on his or her plan. Skill is another word for this.

• Relationship – the connection between the therapist and the client, such that the client engages the process of therapy. (Controversial point #1: Strategic uses of the relationship fall best under “fit” and “implementation” in this nosology.) Potentially measurable aspects of the therapeutic process: • Fit – the correspondence between what the client most needs in order to thrive and change, and the therapeutic plan, based on the therapist’s judgment of the client’s needs.

• Implementation – the degree to which the therapist delivers on his or her plan. Skill is another word for this.

• Relationship – the connection between the therapist and the client, such that the client engages the process of therapy. (Note: Strategic uses of the relationship fall best under “fit” and “implementation” in this nosology.) 100

80

60

40

20 % Improvement% Post-treatment by

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) 100

80

60

40

20 % Improvement% Post-treatment by

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) 100

80

60 Responsive

40

20 % Improvement% Post-treatment by

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) 100

Spontaneous remitter

80

60 Responsive

40

20

% Improvement% Post-treatment by Not amenable to change

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) 100

Spontaneous remitter

80

60 Needs very little Responsive

Demanding 40

20

% Improvement% Post-treatment by Not amenable to change

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) 100

80

60

40

20 % Improvement% Post-treatment by

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) 100

Spontaneous remitter

80

60 Needs very little Responsive

Demanding 40

20

% Improvement% Post-treatment by Not amenable to change

0 Absent Minimal Creditable Very Good Exquisite

Quality of Therapy ( aFit + bSkill + cRelationship) Ideal Distribution in a Study Relating Therapy Quality to Outcome

50%

40%

30%

20% % of Sam ple

10%

0% Absent Minimal Creditable Very Good Exquisite Quality of Therapy Ideal Distribution in a Study Relating Therapy Quality to Outcome

50% Upper bound on correlation between Quality 40% and % Improvement = .44*

30%

20% % of Sam ple

10%

0% Absent Minimal Creditable Very Good Exquisite Quality of Therapy *Assumes patients are distributed evenly across the five groups: (Spontaneous Remitter, Needs Very Little, Responsive, Demanding, Not Amenable to Change) Realistic Distribution in a Study Relating Therapy Quality to Outcome

50%

40%

30%

20% % of Sam ple

10%

0% Absent Minimal Creditable Very Good Exquisite Quality of Therapy Realistic Distribution in a Study Relating Therapy Quality to Outcome

50% Upper bound on correlation between 40% Quality and % Improvement .27*

30%

20% % of Sam ple

10%

0% Absent Minimal Creditable Very Good Exquisite Quality of Therapy *Assumes patients are distributed evenly across the five groups: (Spontaneous Remitter, Needs Very Little, Responsive, Demanding, Not Amenable to Change) Is .27 Good or Bad?

• Recall that the .27 correlation assumes perfect measurement of Quality and of % Improvement. • If we’re lucky, the validity coefficient for the % Improvement variable would be, say, 0.80. That reduces the lower bound only a little, from .27 to about .23. Is .23 Good or Bad?

• The .23 assumes perfect measurement of Quality • But if Quality is composed of Fit, Implementation, and Relationship, then we need to: – Know what Fit is, and measure it. – Construct an index of Implementation. – Apply a measure of Relationship Now Comes the Hard Part

• Need to combine Fit, Implementation, and Relationship Measures optimally

– 1/3(Fit) + 1/3(Implementation) + 1/3 (Relationship) might be a good start

– 1/6(Fit) + 1/6(Implementation) + 2/3 (Relationship) could work

– Could be nonlinear: • (Fit+Implementation) X Relationship • etc. What if we examine only one of the factors?

If we look only at technique, the model we’re testing is:

Outcome = 0(Relationship) + 0( Fit) + b( Implementation), or Outcome = Implementation

Likewise, investigations of the relationship test this model:

Outcome = a(Relationship) + 0 (Fit) + 0 (Implementation), or Outcome = Relationship Question: If my analysis is even close to being correct, how is it possible to obtain process- outcome correlations in the .20--.40 range?

• Fit, implementation, and relationship phenomena are probably correlated, so we get 3 for the price of 1

• We mis-specify the model – Attribute causal status to the effect (measure the process during or after outcome, then infer that the process caused the outcome) – Attribute process-outcome correlation to process, when both are caused by a third variable (the client) What to do?

• First take care of the confounds (reverse causality & 3 rd variables) • Include a range of therapy quality • Conduct training experiments • Examine critical events • Identify “responsive” patients • Recognize that our favorite pieces are probably just that: pieces – Combine variables – Examine interactions (but don’t count on them) What size effects do the meta-analysts find for therapy type?

• Smith, Glass, and Miller (1980) – choose your number (and very few of them are very small)

• Wampold et al. (1997) – .19

• Meta-Analyses by Weisz, Weiss, and colleagues re adolescent treatments – typical result is a difference in ES between behavioral and non-behavioral treatments of approximately .50

• Shadish, Matt, Navarro, and Phillips (2000) – behavioral vs. nonbehavioral mean ES = .41 The most heated battles in the Dodo Wars • How many (kinds of) studies can we lump together, and who gets to do the lumping?

• Bona-fide vs. non-bona-fide

• Allegiance effects

• Primary vs. secondary measures

• How large is large? What we need

• A few key studies, with sufficient power, that compare two or three very different psychotherapeutic approaches to each other

• Adversarial collaboration

• Agreement in advance from key advocates about how the data will be interpreted (should be applied to meta-analyses in the meanwhile)