Studying the Affecting Factors in Patient Workflow and Outcome of Patients with Stroke Diagnosis in the Emergency Department Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.34172/ija.2023.e13
Objectives: To investigate the factors involved in the assignment and outcomes of patients with stroke referred to the Emergency Department of Imam Reza hospital in Tabriz in 2018. Design: A cross-sectional study. Setting (s): Imam Reza hospital, Tabriz, Iran. Participants: Patients over 60 years of age. Outcome measures: All patients were recorded for admission to discharge, admission to the first visit by the Emergency and Neurosurgery Department, admission to the patient assignment, and patient outcome. The intervals were then calculated from the baseline triage, and the intervals for which the patient was most likely to stay were reviewed and rooted. Results: There was a significant relationship between age, sex, type of stroke, outcome, and hyperlipidemia, but the correlation coefficient was weak. Further, there was a significant difference between triage to assignment and triage to emergency leave with a strong correlation, but there was a significant relationship with the type of stroke, and the correlation coefficient was weak. Moreover, there was a significant relationship between triage to emergency leave and the type of stroke, but the correlation coefficient was weak. Moreover, the relationship between the type of stroke and the outcome was significant with a weak correlation coefficient. Conclusions: One of the causes of delay in the workload of patients with stroke is the high time interval between requesting a neurologic visit to a neurological service visit. The duration of the assignment for stroke patients is less than 6 hours, but it takes more than 6 hours for the patient to leave the emergency room. There is a weak inverse relationship between the type of stroke, the duration of the assignment, and exit from the emergency, meaning that patients with hemorrhagic stroke are assigned with a delay and are discharged from the emergency room later.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.34172/ija.2023.e13
- http://ijage.com/PDF/ija-1-e13.pdf
- OA Status
- hybrid
- Cited By
- 2
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385603309
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385603309Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.34172/ija.2023.e13Digital Object Identifier
- Title
-
Studying the Affecting Factors in Patient Workflow and Outcome of Patients with Stroke Diagnosis in the Emergency DepartmentWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-02Full publication date if available
- Authors
-
Masoumeh Poureskandari, Elyar Sadeghi‐Hokmabadi, Alireza Ala, Kobra Tayyari, Samad Shams VahdatiList of authors in order
- Landing page
-
https://doi.org/10.34172/ija.2023.e13Publisher landing page
- PDF URL
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https://ijage.com/PDF/ija-1-e13.pdfDirect 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://ijage.com/PDF/ija-1-e13.pdfDirect OA link when available
- Concepts
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Medicine, Emergency department, Triage, Stroke (engine), Emergency medicine, Workload, Confidence interval, Internal medicine, Nursing, Engineering, Computer science, Mechanical engineering, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Reza | 22, 35 |
| abstract_inverted_index.age, | 107 |
| abstract_inverted_index.age. | 45 |
| abstract_inverted_index.exit | 271 |
| abstract_inverted_index.from | 80, 272, 289 |
| abstract_inverted_index.high | 213 |
| abstract_inverted_index.less | 235 |
| abstract_inverted_index.more | 242 |
| abstract_inverted_index.most | 92 |
| abstract_inverted_index.over | 41 |
| abstract_inverted_index.room | 292 |
| abstract_inverted_index.sex, | 108 |
| abstract_inverted_index.stay | 95 |
| abstract_inverted_index.than | 236, 243 |
| abstract_inverted_index.that | 276 |
| abstract_inverted_index.then | 78 |
| abstract_inverted_index.time | 214 |
| abstract_inverted_index.type | 109, 148, 170, 184, 262 |
| abstract_inverted_index.weak | 194, 257 |
| abstract_inverted_index.were | 50, 77, 96 |
| abstract_inverted_index.with | 13, 136, 146, 192, 209, 278, 283 |
| abstract_inverted_index.2018. | 27 |
| abstract_inverted_index.Iran. | 38 |
| abstract_inverted_index.There | 101, 254 |
| abstract_inverted_index.delay | 203, 285 |
| abstract_inverted_index.first | 59 |
| abstract_inverted_index.hours | 245 |
| abstract_inverted_index.leave | 135, 167, 250 |
| abstract_inverted_index.room. | 253 |
| abstract_inverted_index.takes | 241 |
| abstract_inverted_index.there | 122, 141, 158 |
| abstract_inverted_index.visit | 60, 220 |
| abstract_inverted_index.weak. | 120, 156, 178 |
| abstract_inverted_index.which | 88 |
| abstract_inverted_index.years | 43 |
| abstract_inverted_index.Tabriz | 25 |
| abstract_inverted_index.causes | 201 |
| abstract_inverted_index.hours, | 238 |
| abstract_inverted_index.later. | 293 |
| abstract_inverted_index.likely | 93 |
| abstract_inverted_index.stroke | 14, 186, 210, 232, 280 |
| abstract_inverted_index.strong | 138 |
| abstract_inverted_index.study. | 31 |
| abstract_inverted_index.triage | 128, 132, 164 |
| abstract_inverted_index.visit. | 225 |
| abstract_inverted_index.Design: | 28 |
| abstract_inverted_index.Outcome | 46 |
| abstract_inverted_index.Setting | 32 |
| abstract_inverted_index.Tabriz, | 37 |
| abstract_inverted_index.between | 106, 127, 163, 182, 216, 260 |
| abstract_inverted_index.factors | 4 |
| abstract_inverted_index.inverse | 258 |
| abstract_inverted_index.meaning | 275 |
| abstract_inverted_index.outcome | 189 |
| abstract_inverted_index.patient | 70, 73, 90, 248 |
| abstract_inverted_index.rooted. | 99 |
| abstract_inverted_index.service | 224 |
| abstract_inverted_index.stroke, | 111, 150, 172, 264 |
| abstract_inverted_index.triage, | 83 |
| abstract_inverted_index.Further, | 121 |
| abstract_inverted_index.Patients | 40 |
| abstract_inverted_index.Results: | 100 |
| abstract_inverted_index.assigned | 282 |
| abstract_inverted_index.baseline | 82 |
| abstract_inverted_index.duration | 227, 266 |
| abstract_inverted_index.hospital | 23 |
| abstract_inverted_index.interval | 215 |
| abstract_inverted_index.involved | 5 |
| abstract_inverted_index.outcome, | 112 |
| abstract_inverted_index.outcome. | 74 |
| abstract_inverted_index.outcomes | 10 |
| abstract_inverted_index.patients | 12, 49, 208, 233, 277 |
| abstract_inverted_index.recorded | 51 |
| abstract_inverted_index.referred | 15 |
| abstract_inverted_index.reviewed | 97 |
| abstract_inverted_index.workload | 206 |
| abstract_inverted_index.Emergency | 18, 63 |
| abstract_inverted_index.Moreover, | 157, 179 |
| abstract_inverted_index.admission | 53, 56, 67 |
| abstract_inverted_index.emergency | 134, 166, 252, 291 |
| abstract_inverted_index.hospital, | 36 |
| abstract_inverted_index.intervals | 76, 86 |
| abstract_inverted_index.measures: | 47 |
| abstract_inverted_index.Department | 19 |
| abstract_inverted_index.assignment | 8, 130, 230 |
| abstract_inverted_index.calculated | 79 |
| abstract_inverted_index.difference | 126 |
| abstract_inverted_index.discharge, | 55 |
| abstract_inverted_index.discharged | 288 |
| abstract_inverted_index.emergency, | 274 |
| abstract_inverted_index.neurologic | 219 |
| abstract_inverted_index.requesting | 217 |
| abstract_inverted_index.Department, | 66 |
| abstract_inverted_index.Objectives: | 0 |
| abstract_inverted_index.assignment, | 71, 269 |
| abstract_inverted_index.coefficient | 118, 154, 176 |
| abstract_inverted_index.correlation | 117, 153, 175, 195 |
| abstract_inverted_index.hemorrhagic | 279 |
| abstract_inverted_index.investigate | 2 |
| abstract_inverted_index.significant | 104, 125, 144, 161, 191 |
| abstract_inverted_index.Conclusions: | 197 |
| abstract_inverted_index.Neurosurgery | 65 |
| abstract_inverted_index.coefficient. | 196 |
| abstract_inverted_index.correlation, | 139 |
| abstract_inverted_index.neurological | 223 |
| abstract_inverted_index.relationship | 105, 145, 162, 181, 259 |
| abstract_inverted_index.Participants: | 39 |
| abstract_inverted_index.cross-sectional | 30 |
| abstract_inverted_index.hyperlipidemia, | 114 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.7305756 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |