Beyond intensity: Pain distribution shapes healthcare- and treatment-seeking beliefs in individuals with and without clinical pain

Pain is commonly described in sensory terms, yet its spatial characteristics-localization and distribution-are rarely quantified. We investigated whether lay beliefs about pain distribution (PD) influence theoretical decisions to seek care and treatment preferences. In a representative cross-sectional survey (N=503; 49% with pain), participants completed thought experiments in which both visually presented PD patterns (small, moderate or large) and pain intensity (NRS 2, 5, 8/10) were systemically varied. For each scenario, they rated the likelihood of (i) seeking professional help (LoSH) and (ii) taking analgesic medication (LoTM). Participants also completed a spatial-intensity trade-off task (SITT), in which they chose between a fixed 20% reduction in intensity and variable reductions in PD (20-80%). A reversed version contrasted a fixed 80% reduction in PD with variable reductions in pain intensity. LoSH and LoTM increased significantly with greater PD (p<0.001), mirroring the gradient observed for pain intensity. In the SITT, participants' choice followed a sigmoid-like function (p<0.001): 1% reduction in intensity was treated as equivalent to approximately a 3% reduction in distribution, indicating a systematic valuation of PD. This ratio was lower in individuals experiencing pain compared to pain-free individuals. Moreover, 63% reported that PD should be routinely considered in pain management alongside intensity. Results suggest that PD is not merely a trivial descriptor, but a meaningful determinant of healthcare-related decision-making beliefs. Incorporating spatial metrics into clinical assessment and research may better capture how individuals implicitly evaluate pain severity.