108 Background: Patient satisfaction surveys using Likert-style rating scales are subject to response, level, and dispersion bias. "MaxDiff" or "worst-best" scaling allows opportunity to determine and quantify the relative importance of satisfaction drivers. The focus of this conjoint survey was to assess satisfaction with factors related to the chemotherapy experience, while simultaneously defining the relative importance of these satisfaction drivers. Methods: Sequential chemotherapy pts at four independent office sites were offered an "in chair" electronic tablet survey. The 38 question survey instrument was adapted from the Community Oncology Alliance Oncology Medical Home (COA OMH) patient satisfaction survey. Sample size was calculated to allow maximum sensitivity for analysis of questions/attributes at a 90% confidence level. MaxDiff scaling (Sawtooth Software) was analyzed using hierarchal Bayes estimation. Comparisons were made between male/female pts, age, length of time as OHC pt, and office site; statistical significance was determined by the Mann-Whiney test. Results: In total, 297 pts of 320 pts (92.8%) responded; mean patient age was 61.7 yrs, 197 female/100male. MD and staff wait times, professional skills, concern and communication abilities weighed heavily in driving high satisfaction; whereas scheduling, availability of clinical trials, facilities, account, and pharmacy services had low influence. Wait times (higher importance/lower satisfaction) offered the highest enhancement opportunity for process improvement. Both genders had similar priorities for factors driving chemotherapy satisfaction. Wait time, staff and facility satisfaction differed slightly by office. No significant age or time differences were identified. Conclusions: The addition of MaxDiff scaling to conventional patient satisfaction surveys is novel, feasible and acceptable in the community oncology office setting, and can yield relevant, interpretable data. Results of this survey are currently being used to inform ongoing OHC process and quality improvement initiatives.