THE TRADEOFF BETWEEN INTERNAL AND EXTERNAL VALIDITY IN COMPARING THE EFFECTIVENESS OF TRANSCRANIAL MAGNETIC STIMULATION (TMS) WITH ANTIDEPRESSANT DRUG THERAPY IN THE TREATMENT OF MAJOR DEPRESSION USING PROPENSITY SCORE METHODS
Author(s)
Simpson AN1, Simpson KN1, Bonneh-Barkay D2, Demitrack MA2, Brock DG2
1Medical University of South Carolina, Charleston, SC, USA, 2Neuronetics, Inc., Malvern, PA, USA
OBJECTIVES: Transcranial magnetic stimulation (TMS) is FDA cleared for use in pharmacoresistant depression. Two sham-controlled trials have confirmed its efficacy and safety. However, TMS has not been directly compared to pharmacotherapy. Propensity score matching was used to compare the effectiveness of TMS to pharmacotherapy. Prospectively collected data from a pragmatic study of 305 patients treated in routine practice with TMS were matched to patients from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. METHODS: TMS patients were propensity-score matched to STAR*D patients on baseline characteristics using a 1:1 greedy matching algorithm. An unequal drug resistance distribution in the two populations allowed only 222 patients to match well on the first attempt. A subsequent re-matching of the remaining TMS subjects to the full STAR*D control population was performed to produce a complete match. This “double-dipping” approach enabled a successful complete match for all 305 TMS patients. RESULTS: The matched STAR*D and TMS populations were similar at baseline. QIDS-SR outcomes at 6 weeks showed that the TMS group had a greater clinical improvement (P<0.0001). At 6-weeks 53% of TMS patients had no or mild depression versus 38% for STAR*D (p=0.0023). Sensitivity analysis was used to estimate the potential effects of any remaining selection biasing factors, and confirmed an unlikely impact on results. CONCLUSIONS: The varying distribution of the severity of baseline treatment resistance between the TMS and STAR*D populations made it impossible to achieve a complete match in the first matching attempt. Subsequent, “double-dipping” allowed tight matching on baseline variables. We accepted the risk to internal validity posed by the remaining selection bias or confounding and the small impact to variability due to non-independence, in exchange for gaining an increased external validity for this difficult to match group. Matching hard-to-match groups requires a trade-off between risks to internal and external validity.
Conference/Value in Health Info
2014-05, ISPOR 2014, Palais des Congres de Montreal
Value in Health, Vol. 17, No. 3 (May 2014)
Code
PMH11
Topic
Clinical Outcomes
Topic Subcategory
Comparative Effectiveness or Efficacy
Disease
Mental Health