 Multi-level evidence for the impact of pain on workplace attendanceNeo Poon, Claire Haworth, James Goulding and Anya Skatova No 4mq3f_v1, OSF Preprints from Center for Open Science Abstract: Chronic pain is a global obstacle to well-being and workplace productivity, yet its full extent and impacts are extremely difficult to measure and monitor. Utilising two novel sets of digital footprints data, we develop a new approach to model the prevalence of pain through self-medication behaviours, with the purchases of pain relief products leveraged as a proxy indicator. In Study 1, we obtain anonymous shopping records from a pharmacy chain en masse (20,500,952 customers) and compute pain prevalence for each local authority district (LAD) in the UK, showing regional-level evidence that the prevalence of pain is associated with shorter working hours and more individuals working part-time as indicated by official statistics. In Study 2, we gather shopping history and survey responses directly from 828 participants, demonstrating individual-level evidence that those who purchase more painkillers experience more pain, are less likely to work full-time, and also more likely to be restricted in their workplace attendance. This paper introduces a novel approach to measure prevalence of pain and illustrates the detrimental effects of pain on work-related outcomes beyond absenteeism, offering key insights into how self-medication patterns can be extracted from shopping data and linked to health conditions. Date: 2025-08-11 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:4mq3f_v1 Access Statistics for this paper More papers in OSF Preprints from Center for Open Science |
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