Objectives: Where patient-reported outcome measures (PROMs) may be administered at multiple patient visits, it is advantageous to capture these symptoms with as few questions as possible. In this study, the M.D. Anderson Head and Neck Symptom Inventory (MDASI-HN), and the M.D. Anderson Dysphagia Inventory (MDADI) is compared to determine if using the MDASI-HN alone would overlook symptoms identified with MDADI.
Methods: The MDASI-HN and the MDADI were completed by 156 patients, postradiotherapy for head and neck cancer (HNC). Associations between the two instruments were analyzed using correlation analysis, unsupervised machine learning, and sensitivity analysis.
Results: Little correlation was found between the two surveys; however, there was overlap between MDASI-HN dry mouth and many MDADI items, confirming that dry mouth is an important factor in difficulty swallowing, and patient QoL. Taking longer to eat (MDADI), was the most commonly reported item overall, with 85 (54%) patients rating it as moderate-severe. Dry mouth was the most endorsed MDASI-HN item (68, 44%). There were 51 patients missed by the MDASI-HN, reporting no moderate-severe symptoms, but reported one or more moderate-severe QoL impacts on MDADI. If patients who reported a score of 2 or higher on the MDASI-HN Dry Mouth item are flagged as requiring follow-up, the number of patients missed by MDASI-HN drops to 15.
Conclusion: In an HNC clinic where MDASI-HN is routinely administered, assessment of symptoms and QoL might be enhanced by reducing the value at which MDASI Dry Mouth is considered moderate-severe to 2.
Level of evidence: 3 Laryngoscope, 132:2388-2395, 2022.
Keywords: MDADI; MDASI-HN; machine learning; patient-reported outcomes; xerostomia.
© 2022 The American Laryngological, Rhinological and Otological Society, Inc.