Association between patients' body mass index and emergency department wait times: A multicenter observational cohort investigation by the reducing disparities increasing equity in emergency medicine (REDEEM) study group.

Objective: Numerous studies have demonstrated evidence of obesity bias in healthcare settings, however, little is known about obesity bias in the Emergency Department (ED). The objective of this study was to investigate obesity bias in an ED setting by assessing the association between body mass ind...

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Publicado en:American Journal of Emergency Medicine Vol. 49; pp. 178 - 185
Autores principales: Lichen, Isabella M., Bellamkonda, Venkatesh R., Campbell, Ronna L., Phelan, Sean M., Anderson, Joel R., Mullan, Aidan F., Knier, Kit, Sadosty, Annie T.
Formato: research Journal Article
Publicado: Elsevier B.V. Nov2021
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: American Journal of Emergency Medicine
      issn: 07356757
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    pubinfo:
      dt: Nov2021
      vid: 49
      pid: 82545
      pub: Elsevier B.V.
      place: Philadelphia, Pennsylvania
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        153321716
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        10.1016/j.ajem.2021.06.007
        NLM34119812
        153321716
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        atl: Association between patients' body mass index and emergency department wait times: A multicenter observational cohort investigation by the reducing disparities increasing equity in emergency medicine (REDEEM) study group.
      aug:
        au:
          Lichen, Isabella M.
          Bellamkonda, Venkatesh R.
          Campbell, Ronna L.
          Phelan, Sean M.
          Anderson, Joel R.
          Mullan, Aidan F.
          Knier, Kit
          Sadosty, Annie T.
        affil: Department of Emergency Medicine, Mayo Clinic, Rochester, MN, United States
      sug:
        subj:
          Health Status Disparities
          Health Services Accessibility Standards
          Body Mass Index
          Emergency Service Administration
          Human
          Poisson Distribution
          Middle Age
          Adult
          Female
          Health Services Accessibility Statistics and Numerical Data
          Aged
          Emergency Service Statistics and Numerical Data
          Time Factors
          Male
          Prospective Studies
          Comparative Studies
          Multicenter Studies
          Evaluation Research
          Validation Studies
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Aged: 65+ years
          Female
          Male
      ab: Objective: Numerous studies have demonstrated evidence of obesity bias in healthcare settings, however, little is known about obesity bias in the Emergency Department (ED). The objective of this study was to investigate obesity bias in an ED setting by assessing the association between body mass index (BMI) and door-to-room (DTR) or door-to-provider (DTP) times among ED patients.Methods: We conducted an observational cohort study of all adult patient (age ≥ 18 years of age) visits to 21 Mayo Clinic and Mayo Clinic Health System EDs between November 1, 2018 and March 31, 2020. We compared DTR and DTP times based on BMI category.Results: We found that median DTR and DTP times for adults with class 3 obesity are significantly shorter than patients in the normal weight category. For men with class 3 obesity, median DTR and DTP times were 7.5% and 5.4% shorter than men in the normal weight category. Relative to women in the normal weight category, the median DTR and DTP times were 4.6% and 3.8% faster for women in obesity class 1, 4.9% and 5.1% faster for women in obesity class 2, and DTR was 4.4% faster for women in obesity class 3. These percentage differences translated to slightly shorter wait times of 0.4-1.2 min compared to median wait times for patients with normal BMI.Conclusion: We did not find evidence of longer wait times experienced by people with obesity. Rather, patients with obesity often experienced wait times that were shorter than patients of normal weight.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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