Role of Preoperative Patient Expectations in Adult Cochlear Implant Outcomes
Theodore R. McRackan, Priyanka Reddy, Mark S. Costello, Judy R. Dubno
Abstract
OBJECTIVE: Preoperative expectations affect patient outcomes in many health conditions, but expectations are rarely assessed in adult cochlear implant (CI) users. This study is a first step in assessing the contribution of preoperative expectations to postoperative CI outcomes, including speech recognition, CI quality of life (CIQOL), and CI satisfaction. STUDY DESIGN: Cross-sectional study. SETTING: Tertiary medical center. PATIENTS: Fourty one adult CI patients. INTERVENTIONS/MAIN OUTCOME MEASURES: Preoperative expectation questionnaire results, pre- and postoperative speech recognition (CNC and AzBio) scores, postoperative CIQOL domain scores and global scores, and CI satisfaction scores using a visual analog scale (VAS). Cohen's d was used to express effect size. RESULTS: Overall, patients with lower preoperative CI performance expectations showed higher postoperative QOL. This effect was large for the emotional, entertainment, and social domains (d = 0.85-1.02) of the CIQOL-35 and medium for the communication, listening effort domains, and the Global score (d = 0.55-0.63). Preoperative performance expectations showed minimal associations with preoperative versus postoperative change in CNC (d = -0.26; -0.69-0.18) or AzBio scores (d = -0.28; -0.72-0.15). Determining the extent to which preoperative expectations played a role in postoperative satisfaction with CIs was limited by the clustering of satisfaction scores in the upper range of the scale (VAS mean 81.1). CONCLUSIONS: This study provides preliminary evidence that patients' expectations before cochlear implantation may influence their postoperative quality of life and other outcomes, but not postoperative speech recognition. This suggests that an increased emphasis should be placed on measuring and counseling expectations in CI candidates. This assumption needs to be confirmed with additional research with larger sample sizes, more sensitive satisfaction measures, and a prospective design.