Publications by authors named "Claire L Little"
Background: People with chronic pain experience variability in their trajectories of pain severity. Previous studies have explored pain trajectories by clustering sparse data; however, to understand daily pain variability, there is a need to identify clusters of weekly trajectories using daily pain data. Between-week variability can be explored by quantifying the week-to-week movement between these clusters.
View Article and Find Full Text PDFArticle Synopsis
- A pain-forecasting model can help individuals with chronic pain manage their daily experiences and enhance their quality of life by providing insights into future pain levels.
- Two activities were conducted to shape this model: a focus group with 12 participants followed by a survey of 148 people with chronic pain to determine their priorities.
- The results showed that most participants valued information on the timing and severity of pain flares (68% and 64% respectively), with 75% showing interest in using a pain forecast and 80% believing it would help them in planning daily activities.