ArticleThe western journal of emergency medicine2020
Insurance Does Not Affect Adverse Events While Awaiting Surgery for Ankle Trauma in One System.
Article in The western journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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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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.
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Who cites it
1 citing paper in PubMed.
- Insurance status is not a predictor of rotator cuff tear magnitude.JSES international · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAnkle injuries that are not properly cared for can have devastating effects on a patient's health and ability to maintain an active lifestyle. Recommended outpatient surgery may be difficult to obtain for many groups of patients, including those without insurance or minority races. Patients who are of low socioeconomic status also have worse outcomes following trauma. The purpose of this study was to examine whether insurance status impacts the number of adverse events that patients face prior to receiving surgical treatment following an emergency department (ED) visit for an acute ankle injury.
methodsWe conducted a retrospective chart review at two medical centers within the same healthcare system. The sample included 192 patients presenting to the ED with an unstable ankle injury between October 1, 2015- May 1, 2018. We used chi-square and t-test analysis to determine differences in rates of adverse events occurring while awaiting surgery.
resultsFew (4%) patients presented as being self-pay. Neither Medicare (χ2 (1) (N = 192) = 2.389, p = .122), Medicaid (χ2 (1), (N = 192) = .084, p = .772), other insurances (χ2 (1) (N = 192) = .567, p = .452), or private insurance (χ2 (1) (N=192) = .000, p = .982) was associated with a difference in rates of adverse events. Likewise, gender (χ2 (1) (N = 192) = .402, p = .526), race (χ2 (3) (N = 192) = 2.504, p = .475), and all other demographic variables failed to show a difference in occurrence of adverse events. Those admitted to the hospital did show a lower rate of adverse events compared to those sent home from the ED (χ2 (1) (N = 192) = 5.452, p = .020). Sampled patients were admitted to the hospital at a high rate (49%).
conclusionThe sampled facilities did not have adverse event rates that differed based on insurance status or demographic features. These facilities, with hospital-based subsidy programs and higher than expected admission rates, may manage their vulnerable populations well and may indicate their efforts to eliminate health disparity are effective.
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