Which Attributes Are Most and Least Important to Patients When Considering Gout Flare Burden Over Time? A Best-worst Scaling Choice Study.

OBJECTIVE: Several factors contribute to the patient experience of gout flares, including pain intensity, duration, frequency, and disability. It is unknown which of these factors are most important to patients when considering flare burden over time, including those related to the cumulative experience of all flares, or the experience of a single worst flare. This study aimed to determine which flare attributes are the most and least important to the patient experience of flare burden over time. METHODS: Participants with gout completed an anonymous online survey. Questions were aimed at identifying which attributes of gout flares, representing both individual and cumulative flare burden, were the most and least important over a hypothetical 6-month period. A best-worst scaling method was used to determine the importance hierarchy of the included attributes. RESULTS: Fifty participants were included. Difficulty doing usual activities during the worst flare and pain of the worst flare were ranked as the most important, whereas average pain of all flares was considered the least important. Overall, attributes related to the single worst gout flare were considered more important than attributes related to the cumulative impact of all flares. CONCLUSION: When thinking about the burden of gout flares over time, patients rank activity limitation and pain experienced during their worst gout flare as the most important contributing factors, whereas factors related to the cumulative impact of all flares over time are relatively less important.

What Represents Treatment Efficacy in Long-term Studies of Gout Flare Prevention? An Interview Study of People With Gout.

OBJECTIVE: The patient experience of gout flares is multidimensional, with several contributing factors including pain intensity, duration, and frequency. There is currently no consistent method for reporting gout flare burden in long-term studies. This study aimed to determine which factors contribute to patient perceptions of treatment efficacy in long-term studies of gout flare prevention. METHODS: This study involved face-to-face interviews with people with gout using visual representations of gout flare patterns. Participants were shown different flare scenarios over a hypothetical 6-month treatment period that portrayed varying flare frequency, pain intensity, and flare duration. The participants were asked to indicate and discuss which scenario they believed was most indicative of successful treatment over time. Quantitative data relating to the proportion of participants selecting each scenario were reported using descriptive statistics. A qualitative descriptive approach was used to code and categorize the data from the interview transcripts. RESULTS: Twenty-two people with gout participated in the semistructured interviews. All 3 factors of pain intensity, flare duration, and flare frequency influenced participants' perception of treatment efficacy. However, a shorter flare duration was the most common indicator of successful treatment, with half of participants (n = 11, 50%) selecting the scenario with a shorter flare duration over those with less painful flares. CONCLUSION: Flare duration, flare frequency, and pain severity are all taken into account by patients with gout when considering treatment efficacy over time. Long-term studies of gout should ideally capture all these factors to better represent patients' experience of treatment success.