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Enriching the Interpretation of the Erectile Dysfunction Inventory of Treatment Satisfaction: Characterizing Success in Treatment Satisfaction

Cappelleri JC, Tseng LJ, Stecher V, Goldstein I

The journal of sexual medicine, 2018

279 participants · 6 citations

Abstract

BACKGROUND: Patient-reported outcomes, such as the Erectile Dysfunction Inventory of Treatment Satisfaction (EDITS) index, are essential for successful evaluation and treatment of patients with erectile dysfunction.

AIM: To enrich interpretation of the EDITS index score and to complement the existing 0 to 100 scoring.

METHODS: This supplemental analysis evaluated EDITS questionnaire data (11 items; index score range = 0-100; higher scores indicate more treatment satisfaction) after completion of an 8-week double-blinded trial of 279 men 18 to 65 years old with erectile dysfunction randomized to sildenafil 100 mg, sildenafil 50 mg, or placebo. Response options for each EDITS item were grouped into "success" (the 2 most satisfied or favorable responses) and "no success" (the remaining 3 responses). The binary response (success or no success) for each item was expressed as a function of overall EDITS score in a simple logistic regression model with all treatments combined.

OUTCOMES: Odds ratios and success probabilities (using Wald χ2 tests) were calculated for specified point differences and total EDITS index scores, respectively.

RESULTS: EDITS index score increases corresponded with significant increases in odds of success in different EDITS aspects (P < .0001 for all comparisons). For instance, a 10-point EDITS index score difference was associated with odds ratios of 11.3, 42.0, 17.7, and 6.8 for overall treatment satisfaction, treatment meeting expectations, satisfaction…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 279 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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