Characteristics of First Nations patients who take their own leave from an inner‐city emergency department, 2016–2020 Article Swipe
Jennie Hutton
,
Tilini Gunatillake
,
Deborah Barnes
,
Georgina Phillips
,
Jacqueline Maplesden
,
Andrew Chan
,
Prudence Shanahan
,
Rachel Zordan
,
Vijaya Sundararajan
,
Kerry Arabena
,
Alyssa Quigley
,
T'ia Pynor‐Greedy
,
Toni Mason
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/1742-6723.14057
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/1742-6723.14057
Objective Using a strength‐based framework, we aimed to describe and compare First Nations patients who completed care in an ED to those who took their own leave. Methods Routinely collected adult patient data from a metropolitan ED collected over a 5‐year period were analysed. Results A total of 6446 presentations of First Nations patients occurred from 2016 to 2020, constituting 3% of ED presentations. Of these, 5589 (87%) patients waited to be seen and 857 (13%) took their own leave. Among patients who took their own leave, 624 (73%) left not seen and 233 (27%) left at own risk after starting treatment. Patients who were assigned a triage category of 4–5 were significantly more likely to take their own leave (adjusted odds ratio [OR] 3.17, 95% confidence interval [CI] 2.67–3.77, P < 0.001). Patients were significantly less likely to take their own leave if they were >60 years (adjusted OR 0.69, 95% CI 1.01–1.36, P = 0.014) and had private health insurance (adjusted OR 0.61, 95% CI 0.45–0.84, P < 0.001). Patients were more likely to leave if they were women (adjusted OR 1.17, 95% CI 1.01–1.36, P = 0.04), had an unknown housing status (adjusted OR 1.76, 95% CI 1.44–2.15, P < 0.001), were homeless (adjusted OR 1.50, 95% CI 1.22–1.93, P < 0.001) or had a safety alert (adjusted OR 1.60, 95% CI 1.35–1.90, P < 0.001). Conclusion A lower triage category is a strong predictor of First Nations patients taking their own leave. It has been documented that First Nations patients are under‐triaged. One proposed intervention in the metropolitan setting is to introduce practices which expediate the care of First Nations patients. Further qualitative studies with First Nations patients should be undertaken to determine successful approaches to create equitable access to emergency healthcare for this population.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/1742-6723.14057
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1742-6723.14057
- OA Status
- hybrid
- Cited By
- 2
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293860189
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4293860189Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/1742-6723.14057Digital Object Identifier
- Title
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Characteristics of First Nations patients who take their own leave from an inner‐city emergency department, 2016–2020Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-08-30Full publication date if available
- Authors
-
Jennie Hutton, Tilini Gunatillake, Deborah Barnes, Georgina Phillips, Jacqueline Maplesden, Andrew Chan, Prudence Shanahan, Rachel Zordan, Vijaya Sundararajan, Kerry Arabena, Alyssa Quigley, T'ia Pynor‐Greedy, Toni MasonList of authors in order
- Landing page
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https://doi.org/10.1111/1742-6723.14057Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1742-6723.14057Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1742-6723.14057Direct OA link when available
- Concepts
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Medicine, Confidence interval, Odds ratio, Emergency department, Triage, Demography, Internal medicine, Pediatrics, Emergency medicine, Psychiatry, SociologyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Nations | 13, 53, 241, 253, 274, 281 |
| abstract_inverted_index.Results | 45 |
| abstract_inverted_index.compare | 11 |
| abstract_inverted_index.housing | 194 |
| abstract_inverted_index.patient | 32 |
| abstract_inverted_index.private | 160 |
| abstract_inverted_index.setting | 263 |
| abstract_inverted_index.studies | 278 |
| abstract_inverted_index.unknown | 193 |
| abstract_inverted_index.5‐year | 41 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Patients | 103, 134, 172 |
| abstract_inverted_index.assigned | 106 |
| abstract_inverted_index.category | 109, 234 |
| abstract_inverted_index.describe | 9 |
| abstract_inverted_index.homeless | 206 |
| abstract_inverted_index.interval | 128 |
| abstract_inverted_index.occurred | 55 |
| abstract_inverted_index.patients | 14, 54, 69, 82, 242, 254, 282 |
| abstract_inverted_index.proposed | 258 |
| abstract_inverted_index.starting | 101 |
| abstract_inverted_index.(adjusted | 121, 149, 163, 182, 196, 207, 221 |
| abstract_inverted_index.Objective | 1 |
| abstract_inverted_index.Routinely | 29 |
| abstract_inverted_index.analysed. | 44 |
| abstract_inverted_index.collected | 30, 38 |
| abstract_inverted_index.completed | 16 |
| abstract_inverted_index.determine | 287 |
| abstract_inverted_index.emergency | 295 |
| abstract_inverted_index.equitable | 292 |
| abstract_inverted_index.expediate | 269 |
| abstract_inverted_index.insurance | 162 |
| abstract_inverted_index.introduce | 266 |
| abstract_inverted_index.patients. | 275 |
| abstract_inverted_index.practices | 267 |
| abstract_inverted_index.predictor | 238 |
| abstract_inverted_index.Conclusion | 230 |
| abstract_inverted_index.approaches | 289 |
| abstract_inverted_index.confidence | 127 |
| abstract_inverted_index.documented | 250 |
| abstract_inverted_index.framework, | 5 |
| abstract_inverted_index.healthcare | 296 |
| abstract_inverted_index.successful | 288 |
| abstract_inverted_index.treatment. | 102 |
| abstract_inverted_index.undertaken | 285 |
| abstract_inverted_index.population. | 299 |
| abstract_inverted_index.qualitative | 277 |
| abstract_inverted_index.0.45–0.84, | 168 |
| abstract_inverted_index.1.01–1.36, | 154, 187 |
| abstract_inverted_index.1.22–1.93, | 212 |
| abstract_inverted_index.1.35–1.90, | 226 |
| abstract_inverted_index.1.44–2.15, | 201 |
| abstract_inverted_index.2.67–3.77, | 130 |
| abstract_inverted_index.constituting | 60 |
| abstract_inverted_index.intervention | 259 |
| abstract_inverted_index.metropolitan | 36, 262 |
| abstract_inverted_index.presentations | 50 |
| abstract_inverted_index.significantly | 113, 136 |
| abstract_inverted_index.presentations. | 64 |
| abstract_inverted_index.strength‐based | 4 |
| abstract_inverted_index.under‐triaged. | 256 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5032712271 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I165779595, https://openalex.org/I4210087110 |
| citation_normalized_percentile.value | 0.66791825 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |