Examining time-to-transport decisions in Emergency Medical Services
<h3>Background</h3><p dir="ltr">In modern healthcare systems, allocating resources and a patient-centred approach are crucial. While considerable efforts have been made to investigate emergency care and timing within the Emergency Medical Service (EMS)1,2,3, the subtletie...
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2024
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| _version_ | 1864513514161307648 |
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| author | Hassan Farhat (9000509) |
| author2 | Guillaume Alinier (6952004) Kawther El Aifa (18464449) Ahmed Makhlouf (17632179) Padarath Gangaram (14778514) Cyrine Abid (18464455) Ian Howland (18464452) Ian Howard (2026753) Nicholas Castle (6011018) Loua Al-Shaikh (17300911) Moncef Khadhraoui (14778526) Imed Gargouri (14778529) James Laughton (14778532) |
| author2_role | author author author author author author author author author author author author |
| author_facet | Hassan Farhat (9000509) Guillaume Alinier (6952004) Kawther El Aifa (18464449) Ahmed Makhlouf (17632179) Padarath Gangaram (14778514) Cyrine Abid (18464455) Ian Howland (18464452) Ian Howard (2026753) Nicholas Castle (6011018) Loua Al-Shaikh (17300911) Moncef Khadhraoui (14778526) Imed Gargouri (14778529) James Laughton (14778532) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hassan Farhat (9000509) Guillaume Alinier (6952004) Kawther El Aifa (18464449) Ahmed Makhlouf (17632179) Padarath Gangaram (14778514) Cyrine Abid (18464455) Ian Howland (18464452) Ian Howard (2026753) Nicholas Castle (6011018) Loua Al-Shaikh (17300911) Moncef Khadhraoui (14778526) Imed Gargouri (14778529) James Laughton (14778532) |
| dc.date.none.fl_str_mv | 2024-05-26T08:41:04Z |
| dc.identifier.none.fl_str_mv | 10.57945/manara.25709367.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/conference_contribution/Examining_time-to-transport_decisions_in_Emergency_Medical_Services/25709367 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Time to event Transport Middle East and North Africa Historical analysis Conveyance Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |
| dc.title.none.fl_str_mv | Examining time-to-transport decisions in Emergency Medical Services |
| dc.type.none.fl_str_mv | Text Conference contribution info:eu-repo/semantics/publishedVersion text conference object |
| description | <h3>Background</h3><p dir="ltr">In modern healthcare systems, allocating resources and a patient-centred approach are crucial. While considerable efforts have been made to investigate emergency care and timing within the Emergency Medical Service (EMS)1,2,3, the subtleties surrounding time-to-transport decisions remain underexplored. This study examined factors affecting the time elapsed between EMS dispatch and ambulance readiness for the next emergency call using retrospective data from Hamad Medical Corporation Ambulance Service (HMCAS).</p><h3>Methods</h3><p dir="ltr">We conducted a comprehensive time-to-event analysis of HMCAS electronic patient care record system data from January to February 2023, representing 93,712 emergency cases attended to, using R Studio to understand the time from when an ambulance is dispatched until it is available for the subsequent call. Various parameters were considered, and their Hazard Ratios (HR) were computed. The impact of these variables on the time-to-handover was evaluated through a Cox regression model.</p><h3>Results</h3><p dir="ltr">Figure 1 indicates the transport probabilities as inferred from the Cox regression. As the time spent on scene increases (due to various reasons, among them: spending more time providing clinical treatment and health education because the patient decided not to go to the hospital, or the crew spending more time convincing the patient to go to the hospital by explaining the potential complications of their condition and the potential outcomes of a refusal to go to hospital), the probability of transporting the patient decreases. This trend suggests that extended time could adversely affect patient care if they eventually need to recall for an ambulance. The Schoenfeld plot (Figure 2) demonstrates that multiple variables have a significant impact on increasing the time-to-handover.</p><h3>Conclusion</h3><p dir="ltr">The study elucidates and clarifies key factors affecting time-to-transport in EMS, underscoring a decline in transport success rates as time on scene lengthens. This trend signifies potential inefficiencies in the current EMS workflow, necessitating further investigation for its broader implications on patient care and resource allocation. The multiple variables affecting time-to-handover reveal the complexity of EMS operations, emphasizing the need for a multi-pronged approach for optimization. Overall, the study provides a factual foundation for amending EMS protocols, aiming for a more efficient and patient-centered healthcare system.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_5b4c1650baf2dc14b8b1edef316567e2 |
| identifier_str_mv | 10.57945/manara.25709367.v1 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25709367 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Examining time-to-transport decisions in Emergency Medical ServicesHassan Farhat (9000509)Guillaume Alinier (6952004)Kawther El Aifa (18464449)Ahmed Makhlouf (17632179)Padarath Gangaram (14778514)Cyrine Abid (18464455)Ian Howland (18464452)Ian Howard (2026753)Nicholas Castle (6011018)Loua Al-Shaikh (17300911)Moncef Khadhraoui (14778526)Imed Gargouri (14778529)James Laughton (14778532)Biomedical and clinical sciencesClinical sciencesHealth sciencesHealth services and systemsTime to eventTransportMiddle East and North AfricaHistorical analysisConveyanceQatar Health Congress 2023 and the 3rd Qatar Public Health Conference<h3>Background</h3><p dir="ltr">In modern healthcare systems, allocating resources and a patient-centred approach are crucial. While considerable efforts have been made to investigate emergency care and timing within the Emergency Medical Service (EMS)1,2,3, the subtleties surrounding time-to-transport decisions remain underexplored. This study examined factors affecting the time elapsed between EMS dispatch and ambulance readiness for the next emergency call using retrospective data from Hamad Medical Corporation Ambulance Service (HMCAS).</p><h3>Methods</h3><p dir="ltr">We conducted a comprehensive time-to-event analysis of HMCAS electronic patient care record system data from January to February 2023, representing 93,712 emergency cases attended to, using R Studio to understand the time from when an ambulance is dispatched until it is available for the subsequent call. Various parameters were considered, and their Hazard Ratios (HR) were computed. The impact of these variables on the time-to-handover was evaluated through a Cox regression model.</p><h3>Results</h3><p dir="ltr">Figure 1 indicates the transport probabilities as inferred from the Cox regression. As the time spent on scene increases (due to various reasons, among them: spending more time providing clinical treatment and health education because the patient decided not to go to the hospital, or the crew spending more time convincing the patient to go to the hospital by explaining the potential complications of their condition and the potential outcomes of a refusal to go to hospital), the probability of transporting the patient decreases. This trend suggests that extended time could adversely affect patient care if they eventually need to recall for an ambulance. The Schoenfeld plot (Figure 2) demonstrates that multiple variables have a significant impact on increasing the time-to-handover.</p><h3>Conclusion</h3><p dir="ltr">The study elucidates and clarifies key factors affecting time-to-transport in EMS, underscoring a decline in transport success rates as time on scene lengthens. This trend signifies potential inefficiencies in the current EMS workflow, necessitating further investigation for its broader implications on patient care and resource allocation. The multiple variables affecting time-to-handover reveal the complexity of EMS operations, emphasizing the need for a multi-pronged approach for optimization. Overall, the study provides a factual foundation for amending EMS protocols, aiming for a more efficient and patient-centered healthcare system.</p>2024-05-26T08:41:04ZTextConference contributioninfo:eu-repo/semantics/publishedVersiontextconference object10.57945/manara.25709367.v1https://figshare.com/articles/conference_contribution/Examining_time-to-transport_decisions_in_Emergency_Medical_Services/25709367CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257093672024-05-26T08:41:04Z |
| spellingShingle | Examining time-to-transport decisions in Emergency Medical Services Hassan Farhat (9000509) Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Time to event Transport Middle East and North Africa Historical analysis Conveyance Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |
| status_str | publishedVersion |
| title | Examining time-to-transport decisions in Emergency Medical Services |
| title_full | Examining time-to-transport decisions in Emergency Medical Services |
| title_fullStr | Examining time-to-transport decisions in Emergency Medical Services |
| title_full_unstemmed | Examining time-to-transport decisions in Emergency Medical Services |
| title_short | Examining time-to-transport decisions in Emergency Medical Services |
| title_sort | Examining time-to-transport decisions in Emergency Medical Services |
| topic | Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Time to event Transport Middle East and North Africa Historical analysis Conveyance Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |