ArticleJournal of clinical orthopaedics and trauma2021
Characteristics of trauma patients that leave against medical advice: An eight-year survey analysis using the National Hospital Ambulatory Medical Care Survey, 2009-2016.
Article in Journal of clinical orthopaedics and trauma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 16 citations in OpenAlex.
- Factors affecting discharge against medical advice (DAMA) at a private level 1 trauma centre: A retrospective cohort study.The Indian journal of medical research · 2025Article
- A study of "left against medical advice" emergency department patients: an optimized explainable artificial intelligence framework.Health care management science · 2024Article
- Utility of an Artificial Intelligence Language Model for Post-Operative Patient Instructions Following Facial Trauma.Craniomaxillofacial trauma & reconstruction · 2024Article
- Exploratory laparotomy during the battle of Mosul, 2016-2017: results from a tertiary civilian hospital in Erbil, Iraqi Kurdistan.BMC emergency medicine · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLeaving against medical advice (AMA) is associated with increased readmission rates, fragmented patient care, and healthcare litigation. Understanding the factors associated with trauma patients leaving AMA from acute care settings will help guide better communication with trauma patients and improve patient satisfaction. This study aims to assess the sociodemographic and in-hospital care characteristics of trauma patients that leave AMA from acute care centers across the U.S.
methodsWe pooled and analyzed eight years of data (2009-2016) from the National Hospital Ambulatory Medical Care Survey. The outcome variable was whether the patient left AMA or not. The main predictors were the triage class, weekend presentation, health insurance status, the presence of chronic diseases, and the receipt of therapeutic and diagnostic procedures. The sociodemographic characteristics -age, sex, and race/ethnicity, were measured as potential confounders in the developed model. We performed logistic regression and reported the unadjusted and adjusted odds of leaving AMA as well as the 95% confidence intervals.
resultsThe weighted percent of the trauma patient population that left AMA was 1.8%. The odds of leaving AMA decreased with advancing age, and increased among non-Hispanic Blacks, compared with non-Hispanic Whites. After adjusting for age, race, and gender, the odds of leaving AMA increased among patients that lacked health insurance (AOR: 1.86; 95% CI: 1.51-2.31), and had diagnostic procedures (AOR: 2.79; 95% CI: 2.32-3.36). The odds of leaving AMA reduced among trauma patients who were classified as emergent (AOR: 0.70; 95% CI: 0.50-0.98) and had therapeutic procedures (AOR: 0.39; 95% CI: 0.32-0.47).
conclusionPredicting trauma patients with increased odds of leaving AMA will inform intentional communication that may reduce leaving AMA rates and improve care.
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