Evaluation of an App-Based Mobile Triage System for Mass Casualty Incidents: Within-Subjects Experimental Study
Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient...
Uloženo v:
| Vydáno v: | Journal of medical Internet research Ročník 26; číslo 4; s. e65728 |
|---|---|
| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Canada
Journal of Medical Internet Research
21.11.2024
JMIR Publications |
| Témata: | |
| ISSN: | 1438-8871, 1439-4456, 1438-8871 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders.
This study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system.
A total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants' subjective ratings of the 2 triage tools.
Our 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P<.001). Post hoc analyses indicated that participants were significantly faster (P<.001) and more accurate (P=.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P<.001) and across all 6 scales of the User Experience Questionnaire (all P<.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P=.24) or session order (P=.06) in our model.
Our findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives. |
|---|---|
| AbstractList | BackgroundDigitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders. ObjectiveThis study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system. MethodsA total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants’ subjective ratings of the 2 triage tools. ResultsOur 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P<.001). Post hoc analyses indicated that participants were significantly faster (P<.001) and more accurate (P=.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P<.001) and across all 6 scales of the User Experience Questionnaire (all P<.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P=.24) or session order (P=.06) in our model. ConclusionsOur findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives. Background Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders. Objective This study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system. Methods A total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants’ subjective ratings of the 2 triage tools. Results Our 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P <.001). Post hoc analyses indicated that participants were significantly faster (P <.001) and more accurate (P =.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P <.001) and across all 6 scales of the User Experience Questionnaire (all P <.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P =.24) or session order (P =.06) in our model. Conclusions Our findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives. Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders. This study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system. A total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants’ subjective ratings of the 2 triage tools. Our 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P <.001). Post hoc analyses indicated that participants were significantly faster (P <.001) and more accurate (P =.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P <.001) and across all 6 scales of the User Experience Questionnaire (all P <.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P =.24) or session order (P =.06) in our model. Our findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives. Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders.BACKGROUNDDigitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders.This study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system.OBJECTIVEThis study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system.A total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants' subjective ratings of the 2 triage tools.METHODSA total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants' subjective ratings of the 2 triage tools.Our 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P<.001). Post hoc analyses indicated that participants were significantly faster (P<.001) and more accurate (P=.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P<.001) and across all 6 scales of the User Experience Questionnaire (all P<.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P=.24) or session order (P=.06) in our model.RESULTSOur 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P<.001). Post hoc analyses indicated that participants were significantly faster (P<.001) and more accurate (P=.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P<.001) and across all 6 scales of the User Experience Questionnaire (all P<.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P=.24) or session order (P=.06) in our model.Our findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives.CONCLUSIONSOur findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives. Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders. This study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system. A total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants' subjective ratings of the 2 triage tools. Our 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P<.001). Post hoc analyses indicated that participants were significantly faster (P<.001) and more accurate (P=.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P<.001) and across all 6 scales of the User Experience Questionnaire (all P<.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P=.24) or session order (P=.06) in our model. Our findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives. |
| Audience | Academic |
| Author | Wunderlich, Robert Sigle, Manuel Breckwoldt, Benjamin Rosenberger, Peter Muench, Alexander Gerstner, Jessica Schmollinger, Martin Stricker, Eric |
| Author_xml | – sequence: 1 givenname: Martin orcidid: 0009-0002-7151-0641 surname: Schmollinger fullname: Schmollinger, Martin – sequence: 2 givenname: Jessica orcidid: 0009-0001-9938-8628 surname: Gerstner fullname: Gerstner, Jessica – sequence: 3 givenname: Eric orcidid: 0000-0003-3864-623X surname: Stricker fullname: Stricker, Eric – sequence: 4 givenname: Alexander orcidid: 0009-0009-5687-1263 surname: Muench fullname: Muench, Alexander – sequence: 5 givenname: Benjamin orcidid: 0009-0009-3256-1973 surname: Breckwoldt fullname: Breckwoldt, Benjamin – sequence: 6 givenname: Manuel orcidid: 0000-0001-8954-4810 surname: Sigle fullname: Sigle, Manuel – sequence: 7 givenname: Peter orcidid: 0000-0001-5371-139X surname: Rosenberger fullname: Rosenberger, Peter – sequence: 8 givenname: Robert orcidid: 0000-0002-2380-3581 surname: Wunderlich fullname: Wunderlich, Robert |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39474975$$D View this record in MEDLINE/PubMed |
| BookMark | eNptkl1rFDEUhoNU7If9CxIQQZCp-ZxMvNsuqy60eLEVL4czSWbNMjMZJxlx_73pbi1aJBcJOU9e3pz3nKOTIQwOoUtKrhjV5ftSKlY9Q2dU8KqoKkVP_jqfovMYd4QwIjR9gU65FkpoJc9QWP2Ebobkw4BDi2HAi3EsriE6i29D4zuH7yYPW4c3-5hcj9sw4VuIES8hztClPV4Pxls3pPgBf_Ppux-KzdzsnEkRr36NbvJ9LkKHN2m2-5foeQtddJcP-wX6-nF1t_xc3Hz5tF4ubgojBE1FQyQ0smxKXVKruHFMiEZSQYVklCvZCtUScKKhFlqjLdVOSVZJBlpDqRm_QOujrg2wq8dsAqZ9HcDXh4swbWuYkjedqwUHppUoNWmIUKAqazlIaDkHC4bKrPX2qDVO4cfsYqp7H43rOhhcmGPNKWMll5zSjL4-olvIyn5oQ5rA3OP1oqKK8JIokamr_1B5Wdd7k3Ntc9__ffDqwcHc9M4-_udPjhl4cwTMFGKcXPuIUFLfz0d9mI_MvXvCGZ8O6WcHvntC_wZB87cY |
| CitedBy_id | crossref_primary_10_1007_s10049_025_01610_8 |
| Cites_doi | 10.1027/1614-1881.1.1.27 10.1002/emp2.12613 10.1007/s10049-006-0821-3 10.1016/j.annemergmed.2005.05.009 10.1007/s00101-023-01291-3 10.1007/s10916-021-01763-2 10.1038/s41598-021-82404-z 10.1007/s10049-006-0814-2 10.38124/ijisrt/ijisrt24jun600 10.2196/44042 10.12688/wellcomeopenres.15191.2 10.1007/978-3-031-23721-8_137 10.1145/2980991 10.1016/S0065-2458(08)60544-6 10.1145/3106237.3117767 10.1109/msr52588.2021.00054 10.1007/s00063-014-0410-z 10.1017/s1049023x2100073x 10.30476/BEAT.2021.89416 10.5055/ajdm.2018.0305 10.35784/jcsi.3007 10.2196/11939 10.1186/s12911-021-01440-x 10.1145/3368454 10.1186/s12911-020-1075-6 10.9781/ijimai.2017.445 10.1007/s10916-014-0065-6 10.1017/S1049023X2100131X 10.3758/brm.41.4.1149 10.1016/j.pdisas.2019.100012 10.1007/s00101-024-01384-7 10.1007/s00068-022-02131-6 |
| ContentType | Journal Article |
| Copyright | Martin Schmollinger, Jessica Gerstner, Eric Stricker, Alexander Muench, Benjamin Breckwoldt, Manuel Sigle, Peter Rosenberger, Robert Wunderlich. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.11.2024. COPYRIGHT 2024 Journal of Medical Internet Research |
| Copyright_xml | – notice: Martin Schmollinger, Jessica Gerstner, Eric Stricker, Alexander Muench, Benjamin Breckwoldt, Manuel Sigle, Peter Rosenberger, Robert Wunderlich. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.11.2024. – notice: COPYRIGHT 2024 Journal of Medical Internet Research |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 DOA |
| DOI | 10.2196/65728 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic Open Access: DOAJ - Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Library & Information Science |
| EISSN | 1438-8871 |
| ExternalDocumentID | oai_doaj_org_article_43a2974690b047a78dd3a5af33adac15 A817036074 39474975 10_2196_65728 |
| Genre | Journal Article |
| GeographicLocations | Germany |
| GeographicLocations_xml | – name: Germany |
| GroupedDBID | --- .4I .DC 29L 2WC 36B 53G 5GY 5VS 77I 77K 7RV 7X7 8FI 8FJ AAFWJ AAKPC AAWTL AAYXX ABDBF ABIVO ABUWG ACGFO ADBBV AEGXH AENEX AFFHD AFKRA AFPKN AIAGR ALMA_UNASSIGNED_HOLDINGS ALSLI AOIJS BAWUL BCNDV BENPR CCPQU CITATION CNYFK CS3 DIK DU5 DWQXO E3Z EAP EBD EBS EJD ELW EMB EMOBN ESX F5P FRP FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO ICO IEA IHR INH ISN ITC KQ8 M1O M48 NAPCQ OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PPXIY PQQKQ PRQQA RNS RPM SJN SV3 TR2 UKHRP XSB ACUHS ALIPV CGR CUY CVF ECM EIF NPM 7X8 PUEGO |
| ID | FETCH-LOGICAL-c441t-b05ab56b6961d73ce244b51414521375f47f0ae4b1dafc9d19e752852a99a6923 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 1 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001371699400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1438-8871 1439-4456 |
| IngestDate | Fri Oct 03 12:34:45 EDT 2025 Thu Oct 02 11:10:02 EDT 2025 Tue Nov 11 10:53:45 EST 2025 Tue Nov 04 18:17:52 EST 2025 Mon Jul 21 06:01:22 EDT 2025 Tue Nov 18 22:12:40 EST 2025 Sat Nov 29 03:22:53 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Keywords | disaster medicine mass casualty incidents digitalization mobile triage app triage Germany |
| Language | English |
| License | Martin Schmollinger, Jessica Gerstner, Eric Stricker, Alexander Muench, Benjamin Breckwoldt, Manuel Sigle, Peter Rosenberger, Robert Wunderlich. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.11.2024. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c441t-b05ab56b6961d73ce244b51414521375f47f0ae4b1dafc9d19e752852a99a6923 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0009-0009-3256-1973 0000-0001-8954-4810 0000-0001-5371-139X 0000-0003-3864-623X 0009-0009-5687-1263 0009-0001-9938-8628 0009-0002-7151-0641 0000-0002-2380-3581 |
| OpenAccessLink | https://doaj.org/article/43a2974690b047a78dd3a5af33adac15 |
| PMID | 39474975 |
| PQID | 3122635311 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_43a2974690b047a78dd3a5af33adac15 proquest_miscellaneous_3122635311 gale_infotracmisc_A817036074 gale_infotracacademiconefile_A817036074 pubmed_primary_39474975 crossref_primary_10_2196_65728 crossref_citationtrail_10_2196_65728 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-11-21 |
| PublicationDateYYYYMMDD | 2024-11-21 |
| PublicationDate_xml | – month: 11 year: 2024 text: 2024-11-21 day: 21 |
| PublicationDecade | 2020 |
| PublicationPlace | Canada |
| PublicationPlace_xml | – name: Canada |
| PublicationTitle | Journal of medical Internet research |
| PublicationTitleAlternate | J Med Internet Res |
| PublicationYear | 2024 |
| Publisher | Journal of Medical Internet Research JMIR Publications |
| Publisher_xml | – name: Journal of Medical Internet Research – name: JMIR Publications |
| References | ref13 ref35 Smith, M (ref8) 2001; 30 ref12 ref34 ref15 ref37 ref14 ref36 ref30 ref11 ref33 ref10 ref32 Aluvala, R (ref23) 2024 ref2 ref1 ref17 ref39 ref16 ref38 ref19 Laugwitz, B (ref31) 2008 ref18 Romig, LE (ref7) 2002; 27 ref24 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 ref9 ref4 ref3 ref6 ref5 |
| References_xml | – ident: ref39 doi: 10.1027/1614-1881.1.1.27 – ident: ref1 – ident: ref4 doi: 10.1002/emp2.12613 – ident: ref6 doi: 10.1007/s10049-006-0821-3 – ident: ref12 doi: 10.1016/j.annemergmed.2005.05.009 – ident: ref27 doi: 10.1007/s00101-023-01291-3 – ident: ref34 doi: 10.1007/s10916-021-01763-2 – ident: ref21 doi: 10.1038/s41598-021-82404-z – ident: ref10 doi: 10.1007/s10049-006-0814-2 – ident: ref19 doi: 10.38124/ijisrt/ijisrt24jun600 – ident: ref26 doi: 10.2196/44042 – ident: ref32 doi: 10.12688/wellcomeopenres.15191.2 – ident: ref15 doi: 10.1007/978-3-031-23721-8_137 – ident: ref25 – ident: ref20 doi: 10.1145/2980991 – ident: ref17 doi: 10.1016/S0065-2458(08)60544-6 – volume: 27 start-page: 52 issue: 7 year: 2002 ident: ref7 publication-title: JEMS – volume: 30 start-page: 46 issue: 5 year: 2001 ident: ref8 publication-title: Emerg Med Serv – ident: ref29 doi: 10.1145/3106237.3117767 – start-page: 66 year: 2008 ident: ref31 publication-title: HCI and Usability for Education and Work – ident: ref28 doi: 10.1109/msr52588.2021.00054 – ident: ref9 doi: 10.1007/s00063-014-0410-z – ident: ref3 doi: 10.1017/s1049023x2100073x – ident: ref30 – start-page: 1 year: 2024 ident: ref23 publication-title: Serverless Computing Concepts, Technology and Architecture – ident: ref14 doi: 10.30476/BEAT.2021.89416 – ident: ref2 doi: 10.5055/ajdm.2018.0305 – ident: ref18 doi: 10.35784/jcsi.3007 – ident: ref36 doi: 10.2196/11939 – ident: ref38 doi: 10.1186/s12911-021-01440-x – ident: ref22 doi: 10.1145/3368454 – ident: ref37 doi: 10.1186/s12911-020-1075-6 – ident: ref33 doi: 10.9781/ijimai.2017.445 – ident: ref35 doi: 10.1007/s10916-014-0065-6 – ident: ref5 doi: 10.1017/S1049023X2100131X – ident: ref24 doi: 10.3758/brm.41.4.1149 – ident: ref16 doi: 10.1016/j.pdisas.2019.100012 – ident: ref11 doi: 10.1007/s00101-024-01384-7 – ident: ref13 doi: 10.1007/s00068-022-02131-6 |
| SSID | ssj0020491 |
| Score | 2.4321492 |
| Snippet | Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid... Background Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents... BackgroundDigitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents... |
| SourceID | doaj proquest gale pubmed crossref |
| SourceType | Open Website Aggregation Database Index Database Enrichment Source |
| StartPage | e65728 |
| SubjectTerms | Adult Evaluation Female Health aspects Humans Male Management Mass casualties Mass Casualty Incidents Mobile Applications Technology application Triage (Medicine) Triage - methods |
| Title | Evaluation of an App-Based Mobile Triage System for Mass Casualty Incidents: Within-Subjects Experimental Study |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/39474975 https://www.proquest.com/docview/3122635311 https://doaj.org/article/43a2974690b047a78dd3a5af33adac15 |
| Volume | 26 |
| WOSCitedRecordID | wos001371699400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1438-8871 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0020491 issn: 1438-8871 databaseCode: DOA dateStart: 19990101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVPQU databaseName: Library Science Database customDbUrl: eissn: 1438-8871 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0020491 issn: 1438-8871 databaseCode: M1O dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/libraryscience providerName: ProQuest – providerCode: PRVPQU databaseName: Nursing & allied health premium. customDbUrl: eissn: 1438-8871 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0020491 issn: 1438-8871 databaseCode: 7RV dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1438-8871 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0020491 issn: 1438-8871 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Health & Medical Collection customDbUrl: eissn: 1438-8871 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0020491 issn: 1438-8871 databaseCode: 7X7 dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1438-8871 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0020491 issn: 1438-8871 databaseCode: PIMPY dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pb9MwFH6CgSakCcFgENgqI01wihb_SBxzW6dOcGippgHlFNlOApWmBC3ppP33vJekVTcOXLj4EDuJ4_fZ73Pr9z2AY53m6EkJvC72oSqECp1OTZgrdO4O_XOubJdsQs9m6WJh5lupvuhMWC8P3A_ciZJWIOfFTZyLlLb47Fza2JZS2tz6LrxcRNqsN1PDVgt5L9-FPTrojBA7SWJN6da3PE8n0P_3MnyPXHZO5vwZPB3YITvte_UcHhTVPhwNsQXsPRuCh2gw2TAr92F3Ovw__gLqyUa8m9UlsxVDlhmO0VPlbFo7XAHYJSLuZ8F6pXKGj2NT5M_szDYre9Xe4is85Rltm4_s-7L9taxCXFvox5qGTbayATA6gHj7Er6eTy7PPoVDSoXQI-9pQxfF1sWJS0zCcy092kY55ExcoRuXOi6VLiNbKMdzW3qTc1PoWKSxsMbYBMngAexUdVW8BqZ4VBZCkA2sEkq6BO9KrEdMIGmyJoDj9XBnftAbp7QXVxnuO8gqWWeVAEabZr97gY37DcZkq00l6WF3FxAl2YCS7F8oCeADWTqjWYud8HYIPsBPIf2r7JR0CmWCfCqAwzstcbb5O9Xv1ljJqIqOqFVFvWoyyQUJ-0jOA3jVg2jTZ2mUVkbHb_7Ht7yFJwKZFQVECn4IO-31qjiCx_6mXTbXI3ioL75RudBdmY7g0Xgym1-MuhmC5ZR_wWvzz9P5jz_mERI0 |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Evaluation+of+an+App-Based+Mobile+Triage+System+for+Mass+Casualty+Incidents%3A+Within-Subjects+Experimental+Study&rft.jtitle=Journal+of+medical+Internet+research&rft.au=Schmollinger%2C+Martin&rft.au=Gerstner%2C+Jessica&rft.au=Stricker%2C+Eric&rft.au=Muench%2C+Alexander&rft.date=2024-11-21&rft.issn=1438-8871&rft.eissn=1438-8871&rft.volume=26&rft.spage=e65728&rft_id=info:doi/10.2196%2F65728&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1438-8871&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1438-8871&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1438-8871&client=summon |