Observational studyPain medicine (Malden, Mass.)2020
Predicting Pain-Related 30-Day Emergency Department Return Visits in Middle-Aged and Older Adults.
Observational study in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Evaluation of an Emergency Department Over-the-Counter Analgesic Medication Starter Pack Initiative on 30-day Revisits.The Journal of emergency medicine · 2026Observational
- Machine Learning-Based Prediction Model for 30-Day Emergency Department Revisits in a Medically Underserved Tertiary Hospital: Formative Retrospective Cohort Study.JMIR formative research · 2026Article
- Association between Migraine and Quality of Life, Mental Health, Sleeping Disorders, and Health Care Utilization Among Older African American Adults.Journal of racial and ethnic health disparities · 2024Article
- Place and Pain: Association Between Neighborhood SES and Quantitative Sensory Testing Responses in Youth With Functional Abdominal Pain.Journal of pediatric psychology · 2022Article
- Development and Validation of a Nomogram for Predicting Risk of Emergency Department Revisits in Chinese Older Patients.Risk management and healthcare policy · 2022Article
- Opioid Overdose Risk in Patients Returning to the Emergency Department for Pain.Pain medicine (Malden, Mass.) · 2021Observational
- Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe objective of this study was to determine predictive factors for pain-related emergency department returns in middle-aged and older adults. Design, Setting, and Subjects. This was a subanalysis of patients > 55 years of age enrolled in a prospective observational study of adult patients presenting within 30 days of an index visit to a large, urban, academic center.
methodsDemographic and clinical data were collected and compared to determine significant differences between patients who returned for pain and those who did not. Multiple logistic regressions were used to determine significant predictive variables for return visits.
resultsThe majority of the 130 enrolled patients > 55 years of age returned for pain (57%), were African American (78%), were younger (55-64 years old, 67%), had a high emergency department acuity level (level 1 or 2) at their index visit (56%), had low health literacy (Rapid Estimate of Adult Literacy in Medicine [REALM] score, 62%), lived in an area of extreme deprivation (69%), and were admitted (61%) during their index visit. Age (odds ratio [OR] = 0.9, 95% CI = 0.8-0.9, P = 0.047), health literacy (REALM scores; OR = 3.1, 95% CI = 1.3-7.5, P = 0.011), and index visit pain scores (OR = 1.1, 95% CI = 1.0-1.2, P = 0.004) were predictive of emergency department returns for pain in middle-aged and older adults.
conclusionsThe likelihood of emergency department return visits for pain in middle-aged and older adults decreased with older age, increased with higher health literacy (REALM scores), and increased with increase in pain scores.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.