Upload
dora-reeves
View
214
Download
1
Embed Size (px)
Citation preview
Estimating and Understanding Therapist Effects
Empirical Evidence
Bruce E. WampoldUniversity of Wisconsin--Madison
History of Omission Historically, provider effects
ignored Education Agriculture Medicine
Ignoring Therapists Therapists unimportant
Therapist effects not estimated Focus on treatment
Methodological issues Differences among treatments may be due to
therapists Increases Type I error rate and effect size for
Tx effects Confounds within and between group
relationships
Goals How important is the provider relative
to the treatment? Estimate the variability among
therapists (within treatments) Therapist variability v. treatment
variability Understand the characteristics and
actions of effective therapists Discriminate between patient and
therapist contributions to outcomes
Estimating Therapist Effects Sources of variability:
Treatment differences (fixed effect) αj
Therapist variability (random effect) σ2ther
Error or patient variability σ2error
Therapist Effects: intraclass correlation coefficient (Therapist variability) / (Total Variability) ρ = σ2
ther/(σ2ther + σ2
error)
Effects as Percentage of Variability of Termination Score
Pretest – 40% to 50% Tx v. No Treatment– about 13% Treatment A v. Treatment B– at
most 1% Alliance– 5% to 9% Therapist….
9% (Chrits-Christoph et al., 1991)
NIMH TDCRP reanalysis Nested Design (CBT and IPT) Well trained therapists, adherence monitored,
supervision Elkin:
The treatment conditions being compared in this study are, in actuality, “packages” of particular therapeutic approaches and the therapists who choose to and are chosen to administer them…. The central question… is whether the outcome findings for each of the treatments, and especially for differences between them, might be attributable to the particular therapists participating in the study.
Random Effects Modeling Therapists considered a random factor Therapists nested within treatments
(multilevel model) Final observations, controlling for pretest at
patient and therapist level Kim, Wampold, & Bolt, Psychotherapy Research, 2006
Random Effects Modeling Therapists considered a random factor Therapists nested within treatments
(multilevel model) Final observations, controlling for pretest at
patient and therapist level Therapist slope fixed and random
Kim, Wampold, & Bolt, Psychotherapy Research, 2006
Greater Severity
Greater Severity
Variance due to Tx and Therapists
Variable Treatment
Therapist
BDI 0%
HRSD 0%
HSCL-90 0%
GAS 0%
Variance due to Tx and Therapists
Variable Treatment
Therapist
BDI 0% 5% - 12%
HRSD 0% 7% - 12%
HSCL-90 0% 4% - 10%
GAS 0% 8% - 10%
Note: Elkin et al. (2006) found negligible therapist effects in the same data
Variance due to therapists in practice 581 Therapists, 6146 patients More heterogeneous patients Outcome Questionnaire 30 Diagnosis, degree, experience, 0
percent Medication, 1 percent (but dependent
on psychotherapist) 5 percent Wampold & Brown, JCCP, 2005
Cross-validation: year 1 to year 2
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
3
Re
sid
ua
lize
dch
an
ge
Pro
po
rtio
nre
liab
lych
an
ge
d
Effe
ct s
ize
Best Q1
Worst Q4
At least 9 cases in yr 1
73 Therapists
Therapist Effects in Psychopharmacology (NIMH)
Antidepressants: Imipramine v. Placebo 3% due to treatment 9% due to therapist Best therapists get better outcome with
placebo that worst therapists with imipramine
McKay, Imel & Wamold, 2006
Therapists– Psychopharm
BDI_MEAN_BEST_PROV
-8
-6
-4
-2
0
2
4
6
8
10
12
6 23 3 11 1 28 20 15 19
Provider
RE
S G
AIN
SC
OR
E
BDIPL
BDITX
Conclusions
Therapists make a difference Size of therapists effects at least
an order of magnitude greater than treatment effects
What are the characteristics or actions of effective therapists?
Characteristics and Actions of Effective Therapists
Consult Buetler (Handbook of Psychotherapy and Behavior Change)
We don’t know And we don’t care
Alliance? Alliance measured early in therapy related to
outcome Therapist contribution? Patient contribution? Interaction?
Alliance: Patient v. Therapist Contribution to Alliance Counseling center consortium data OQ pre and post, Alliance 4th session 188 patients, 22 therapists 5% of variance due to therapists What is correlation of alliance with
outcome Within therapists? Between therapists?
And the results….
Within or between?
Size of Effect
Conclusions Method is vital to proper conclusions Improper models affect results Therapist effects are sizable,
especially compared to treatment differences
Every process and outcome study MUST include therapists in the model
Multilevel modeling can answer the fundamental question