Observational studyPain practice : the official journal of World Institute of Pain2025
Painfully Obvious? Non-Operative Drivers of Post-Operative Pain and Opioid Exposure in a Predominantly Emergency Surgical Cohort: A Multicentre Observational Study Identifying Non-Operative, Perioperative Pain Correlates.
Observational study in Pain practice : the official journal of World Institute of Pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Painfully Obvious? Non-Operative Drivers of Post-Operative Pain and Opioid Exposure in a Predominantly Emergency Surgical Cohort: A Multicentre Observational Study Identifying Non-Operative, Perioperative Pain Correlates.Pain practice : the official journal of World Institute of Pain · 2025Observational
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThere are many non-operative factors (patient specific and management strategies) that are ubiquitous across all surgeries, which may influence perioperative pain. Recognition of these factors and their association with pain and analgesia requirements could provide avenues for improved perioperative care.
methodsAll consecutive surgical patients admitted to six Australian tertiary hospitals (2017-2024) were included. The primary outcome was postoperative pain score (0 = no pain to 10 = unbearable pain). Additional outcomes included "Pain Crisis", quantity of postoperative and discharge analgesia. Pain scores were calculated using the median scores in the 5 days postoperatively. Postoperative analgesia was quantified by total morphine milligram equivalents (MME) in the 5 days postoperatively and discharge analgesia as MME provided on the discharge prescription. Multivariable binary logistic and linear regression models, with backward elimination, were employed with clinical characteristics and non-operative management factors included as predictors.
resultsA total of 37,278 patients were included. Of these, 92% were unplanned emergency procedures. Psychological factors, such as depression and anxiety, significantly influenced perioperative pain and opioid use. An increase in socio-economic status was associated with less postoperative analgesia but more discharge analgesia. Older patients generally experienced less pain and required fewer opioids. Contrastingly, increased frailty correlated with higher opioid usage. Patients speaking English as a primary language reported more postoperative pain, without higher opioid use. Patients who did not identify as a First Nations Australian received 30% more opioids on discharge, despite no relationship with pain. DISCUSSION/
conclusionAn integrated, anticipatory, patient-centric approach to perioperative pain and analgesia that considers not only the surgical factors but also the individual's psychological and socio-economic context is required.
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