Literature DB >> 22494108

Factors associated with ambulance use among patients with low-acuity conditions.

Edward Durant1, Jahan Fahimi.   

Abstract

BACKGROUND: The use of ambulances for low-acuity medical complaints depletes emergency medical services (EMS) resources that could be used for higher-acuity conditions and contributes to emergency department (ED) overcrowding and ambulance diversion. Objective. We sought to understand the characteristics of patients who use ambulances for low-acuity conditions. We hypothesized that patients who arrive to the ED by ambulance for low-acuity conditions are more likely to be members of vulnerable populations.
METHODS: A secondary analysis was performed on the National Hospital Ambulatory Medical Care Survey (NHAMCS). We included only patients aged 18 years or older who were triaged to the "nonurgent" category upon presentation to the ED. To compare patients who arrived by ambulance with those who arrived by all other modes, multivariate logistic regression was performed using a generalized linear model, and adjusted relative risks (ARRs) were calculated.
RESULTS: A total of 16,109 records from 1997 to 2008 (excluding 2001-2002) were included in the analysis. Significantly higher rates of ambulance use for low-acuity conditions were associated with: 1) older age (ARR 1.30, 95% confidence interval [CI]: 1.18-1.43; per 10 years); 2) Medicare or Medicaid insurance (ARR 1.81, 95% CI: 1.36-2.41, and ARR 1.46, 95% CI: 1.12-1.91, respectively); 3) homelessness (ARR 3.30, 95% CI: 1.61-6.78); 4) arrival between 11 pm and 6:59 am (ARR 1.80, 95% CI: 1.43-2.27); and 5) certain chief complaint categories: psychiatric (ARR 1.78, 95% CI: 1.03-3.07), toxicologic/poisoning (ARR 3.26, 95% CI: 1.85-5.76), and neurologic/psychological (ARR 1.71, 95% CI: 1.34-2.18). Patients who arrived by ambulance were more likely than nonambulance patients to receive laboratory diagnostic tests (ARR 3.50, 95% CI: 2.80-4.39), radiographic imaging (ARR 2.26, 95% CI: 1.91-2.68), and admission to the hospital (ARR 3.99, 95% CI: 3.03-5.27).
CONCLUSION: Our study builds on a body of work highlighting the factors associated with ambulance transport to EDs, confirms that certain vulnerable populations disproportionately use ambulances, and may inform interventions aimed at increasing access to nonambulance transportation and urgent care for these patients.

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Mesh:

Year:  2012        PMID: 22494108     DOI: 10.3109/10903127.2012.670688

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  23 in total

1.  Substance abuse and mental health visits among adolescents presenting to US emergency departments.

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Journal:  Pediatr Emerg Care       Date:  2015-05       Impact factor: 1.454

2.  Geographic Variation in Use of Ambulance Transport to the Emergency Department.

Authors:  Amresh D Hanchate; Michael K Paasche-Orlow; K Sophia Dyer; William E Baker; Chen Feng; James Feldman
Journal:  Ann Emerg Med       Date:  2017-05-27       Impact factor: 5.721

3.  The Characteristics and Outcomes of Patients Transported by Ambulance Due to Ambulatory Care Sensitive Condition: A Population-Based Descriptive Study in Osaka, Japan.

Authors:  Yusuke Katayama; Atsushi Kanehara; Yuya Yamashita; Tetsuhisa Kitamura; Jun Oda
Journal:  Front Public Health       Date:  2022-06-30

4.  Telephone Triage for Emergency Patients Reduces Unnecessary Ambulance Use: A Propensity Score Analysis With Population-Based Data in Osaka City, Japan.

Authors:  Yusuke Katayama; Tetsuhisa Kitamura; Shunichiro Nakao; Hoshi Himura; Ryo Deguchi; Shunsuke Tai; Junya Tsujino; Yasumitsu Mizobata; Takeshi Shimazu; Yuko Nakagawa
Journal:  Front Public Health       Date:  2022-06-28

5.  Patient demographic and health factors associated with frequent use of emergency medical services in a midsized city.

Authors:  Amy Knowlton; Brian W Weir; Brenna S Hughes; R J Hunter Southerland; Cody W Schultz; Ravi Sarpatwari; Lawrence Wissow; Jonathan Links; Julie Fields; Junette McWilliams; Wade Gaasch
Journal:  Acad Emerg Med       Date:  2013-11       Impact factor: 3.451

6.  Characteristics of non-conveyance ambulance runs: A retrospective study in the Netherlands.

Authors:  Remco H A Ebben; Mariola Castelijns; Joost Frenken; Lilian C M Vloet
Journal:  World J Emerg Med       Date:  2019

Review 7.  Why do patients with 'primary care sensitive' problems access ambulance services? A systematic mapping review of the literature.

Authors:  Matthew J Booker; Ali R G Shaw; Sarah Purdy
Journal:  BMJ Open       Date:  2015-05-19       Impact factor: 2.692

8.  Factors associated with the difficulty in hospital acceptance at the scene by emergency medical service personnel: a population-based study in Osaka City, Japan.

Authors:  Yusuke Katayama; Tetsuhisa Kitamura; Kosuke Kiyohara; Taku Iwami; Takashi Kawamura; Sumito Hayashida; Kazuhisa Yoshiya; Hiroshi Ogura; Takeshi Shimazu
Journal:  BMJ Open       Date:  2016-10-26       Impact factor: 2.692

9.  Patient and case characteristics associated with 'no paramedic treatment' for low-acuity cases referred for emergency ambulance dispatch following a secondary telephone triage: a retrospective cohort study.

Authors:  Kathryn Eastwood; Amee Morgans; Johannes Stoelwinder; Karen Smith
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-01-10       Impact factor: 2.953

10.  A retrospective comparison between non-conveyed and conveyed patients in ambulance care.

Authors:  Lilian C M Vloet; Arjan de Kreek; Emmelieke M C van der Linden; Jori J A van Spijk; Vince A H Theunissen; Maud van Wanrooij; Pierre M van Grunsven; Remco H A Ebben
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-10-29       Impact factor: 2.953

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