2020 Supportive care in cancer : o…

Palliative care assessment of dry mouth: what matters most to patients with advanced disease?

, ,

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Vol. 28 (3) : 1121-1129 • Mar 2020

PURPOSE: Dry mouth is a highly prevalent and significant symptom in patients with advanced progressive diseases. It is a poorly understood area of research, and currently, there is no standardised outcome measure or assessment tool for dry mouth. METHODS: To assess responses to self-reported dry mouth questions, the impact of dry mouth, methods used to reduce symptoms and relevance of the questionnaire. A cross-sectional multisite study of 135 patients with advanced progressive disease experiencing dry mouth. Participants were located in the inpatient, day care, outpatient or community setting. RESULTS: The majority (84.4%) of patients rated their dry mouth as moderate or severe using the verbal rating scale (VRS). Seventy-five percent (74.7%) had a numeric rating scale (NRS) score of 6 or more for dry mouth severity. Patients reported that dry mouth interfered most with talking and was the most important function to assess (median score 6 out of 10) followed by eating (median 5) and taste (median 5). Taking sips of drink was the most common and most effective self-management strategy. Over half of patients (54.6%) also reported impact on swallow and sleep and associated dryness of lips, throat and nasal passages. CONCLUSIONS: This study highlights the severity of dry mouth in advanced disease. Important factors when assessing patients with dry mouth should include the functional impact on day-to-day activities including talking, dysphagia and sleep. Simple considerations for patients include provision of drinks and reviewing medications. This study could be used to develop a standardised assessment tool for dry mouth to use in clinical practice.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.