Validation and application of a module of the MD Anderson Symptom Inventory for measuring perioperative symptom burden in patients with gynecologic cancer (the MDASI-PeriOp-GYN).

ABSTRACT

OBJECTIVE: Using patient-reported outcomes (PROs) in perioperative care is increasingly common. We report the development, validation, and application of an MD Anderson Symptom Inventory version for use in patients undergoing surgery for gynecologic cancer or benign conditions (MDASI-PeriOp-GYN). METHODS: Our process included (1) generating PeriOp-GYN-specific candidate items from qualitative interviews with patients, followed by input from an expert panel; (2) dropping items that lacked independent clinical relevance; (3) validating psychometric properties (reliability, validity) of the resulting MDASI-PeriOp-GYN; and (4) conducting cognitive debriefing interviews with patients to confirm ease of comprehension, relevance, and acceptability. RESULTS: Qualitative interviews with 40 patients generated 9 new PeriOp-GYN symptom items (bloating, abdominal cramping, constipation, hot flashes, dizziness, grogginess/confusion, urinary pain, difficulty urinating, and diarrhea) that, along with the core MDASI items, formed the new MDASI-PeriOp-GYN. A total of 150 patients (minimally invasive surgery (MIS) = 69, open surgery = 81) participated in the validation study; 121 patients also provided retest data. Cronbach alphas were 0.89 for symptoms and 0.86 for interference. Test-retest reliability was 0.88 for all symptom severity items. Known-group validity was supported by the detection of significant differences in symptom and interference levels by performance status (P < 0.01) and for all symptoms by surgery type (P < 0.01). Cognitive debriefing with 20 of the 150 patients demonstrated that the MDASI-PeriOp-GYN is an easy-to-use and understandable tool. CONCLUSIONS: The MDASI-PeriOp-GYN is a valid, reliable, concise tool for measuring symptom severity and functional interference in patients undergoing gynecologic surgery and can be useful in assessing postoperative symptom burden via PROs.