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Article ; Online: Education as standardised teaching or individual training or both.

Lippert, Freddy K

2013 Volume 84, Issue 9, Page(s) 1171–1172

MeSH term(s)	Cardiopulmonary Resuscitation/education ; Computer-Assisted Instruction ; Curriculum/standards ; Educational Measurement ; Europe ; Heart Massage ; Humans ; Manikins ; Programmed Instruction as Topic/standards ; Sensitivity and Specificity ; Societies, Medical ; Video Recording
Language	English
Publishing date	2013-09
Publishing country	Ireland
Document type	Comparative Study ; Editorial
ZDB-ID	189901-6
ISSN	1873-1570 ; 0300-9572
ISSN (online)	1873-1570
ISSN	0300-9572
DOI	10.1016/j.resuscitation.2013.06.006
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Article ; Online: Under-triage in telephone consultation is related to non-normative symptom description and interpersonal communication: a mixed methods study.

Gamst-Jensen, Hejdi / Lippert, Freddy K / Egerod, Ingrid

Scandinavian journal of trauma, resuscitation and emergency medicine

2017 Volume 25, Issue 1, Page(s) 52

Abstract: Background: Telephone consultation and triage are used to limit the workload on emergency departments. Lack of visual cues and clinical tests put telephone consultations to a disadvantage compared to face-to-face consultations increasing the risk of ... ...

Abstract	Background: Telephone consultation and triage are used to limit the workload on emergency departments. Lack of visual cues and clinical tests put telephone consultations to a disadvantage compared to face-to-face consultations increasing the risk of under-triage. Under-triage occurs in telephone triage; however why under-triage happens is not explored yet. The aim of the study was to describe situations of under-triage in context, to assess the quality of under-triaged calls, and to identify communication patterns contributing to under-triage in a regional OOH service in the capital region of Denmark. Methods: Explanatory simultaneous mixed method with thematic analysis and descriptive statistics was chosen. The study was carried out in an Out-Of-Hours service (OOH) in the Capital Region of Denmark, Copenhagen. Under-triage was defined as Potentially Under-Triaged Calls (PUTC) by specific criteria to an OOH Hotline, and identification by integration of three databases: Medical Hotline database, Emergency number database, including the Ambulance database, and electronic patient records. Distribution of PUTC were carried out using ICD-10 codes to identify diagnosis and main themes identified by qualitative analysis of audio recorded under-triaged calls. Study period was October 15 Results: Three hundred twenty seven PUTC were identified, representing 0.04% of all calls (n = 937.056) to the OOH. Distribution of PUTC according to diagnoses was: digestive (24%), circulatory (19%), respiratory (15%) and all others (42%). Thematic analysis of the voice logs suggested that inadequate communication and non-normative symptom description contributed to under-triage. Discussion: The incidence of potentially under-triage is low (0.04%). However, the over-representation of digestive, circulatory, and respiratory diagnoses might suggest that under-triage is related to inadequate symptom description. We recommend that caller and call-handler collaborate systematically on problem identification and negotiate non-normative symptom description. Conclusion: The incidence of under-triage is low (0.04%). However, the over-representation of digestive, circulatory, and respiratory diagnoses might suggest that under-triage is related to inadequate symptom description. We recommend that caller and call-handler collaborate systematically on problem identification and negotiate non-normative symptom description.
MeSH term(s)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Communication ; Denmark ; Female ; Humans ; Interpersonal Relations ; Male ; Middle Aged ; Quality of Health Care ; Remote Consultation/standards ; Symptom Assessment/standards ; Telephone ; Triage/methods ; Triage/standards
Language	English
Publishing date	2017-05-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2455990-8
ISSN	1757-7241 ; 1757-7241
ISSN (online)	1757-7241
ISSN	1757-7241
DOI	10.1186/s13049-017-0390-0
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Article ; Online: Sundhedsfaglig disponering på 112.

Lippert, Freddy K

Ugeskrift for laeger

2008 Volume 170, Issue 19, Page(s) 1627

Title translation	112 dispatch to health services.
MeSH term(s)	Denmark ; Emergency Medical Services/organization & administration ; Emergency Medical Services/standards ; Emergency Medical Services/statistics & numerical data ; Hotlines/organization & administration ; Hotlines/standards ; Hotlines/statistics & numerical data ; Humans ; Quality Assurance, Health Care
Language	Danish
Publishing date	2008-05-05
Publishing country	Denmark
Document type	Editorial
ZDB-ID	124102-3
ISSN	1603-6824 ; 0041-5782
ISSN (online)	1603-6824
ISSN	0041-5782
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Article ; Online: Medical dispatchers' perception of visual information in real out-of-hospital cardiac arrest: a qualitative interview study.

Linderoth, Gitte / Møller, Thea Palsgaard / Folke, Fredrik / Lippert, Freddy K / Østergaard, Doris

Scandinavian journal of trauma, resuscitation and emergency medicine

2019 Volume 27, Issue 1, Page(s) 8

MeSH term(s)	Attitude of Health Personnel ; Cardiopulmonary Resuscitation ; Denmark ; Emergency Medical Dispatch ; Emergency Medical Service Communication Systems ; Female ; Humans ; Male ; Out-of-Hospital Cardiac Arrest/diagnosis ; Out-of-Hospital Cardiac Arrest/therapy ; Qualitative Research ; Television
Language	English
Publishing date	2019-01-25
Publishing country	England
Document type	Journal Article
ZDB-ID	2455990-8
ISSN	1757-7241 ; 1757-7241
ISSN (online)	1757-7241
ISSN	1757-7241
DOI	10.1186/s13049-018-0584-0
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Article ; Online: Terrorberedskabet i Danmark.

Lippert, Freddy K

Ugeskrift for laeger

2005 Volume 167, Issue 36, Page(s) 3380

Title translation	Terrorism preparedness in Denmark.
MeSH term(s)	Denmark ; Disaster Planning/organization & administration ; Emergency Medical Services/organization & administration ; Humans ; Terrorism/prevention & control
Language	Danish
Publishing date	2005-09-05
Publishing country	Denmark
Document type	Editorial
ZDB-ID	124102-3
ISSN	1603-6824 ; 0041-5782
ISSN (online)	1603-6824
ISSN	0041-5782
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Article ; Online: Danish first aid books compliance with the new evidence-based non-resuscitative first aid guidelines.

Jensen, Theo Walther / Møller, Thea Palsgaard / Viereck, Søren / Roland, Jens / Pedersen, Thomas Egesborg / Lippert, Freddy K

Scandinavian journal of trauma, resuscitation and emergency medicine

2018 Volume 26, Issue 1, Page(s) 7

Abstract: Background: The European Resuscitation Council (ERC) released new guidelines on resuscitation in 2015. For the first time, the guidelines included a separate chapter on first aid for laypersons. We analysed the current major Danish national first aid ... ...

Abstract	Background: The European Resuscitation Council (ERC) released new guidelines on resuscitation in 2015. For the first time, the guidelines included a separate chapter on first aid for laypersons. We analysed the current major Danish national first aid books to identify potential inconsistencies between the current books and the new evidence-based first aid guidelines. Methods: We identified first aid books from all the first aid courses offered by major Danish suppliers. Based on the new ERC first aid guidelines, we developed a checklist of 26 items within 16 different categories to assess the content; this checklist was adapted following the principle of mutually exclusive and collectively exhaustive questioning. To assess the agreement between four raters, Fleiss' kappa test was used. Items that did not reach an acceptable kappa score were excluded. Results: We evaluated 10 first aid books used for first aid courses and published between 2009 and 2015. The content of the books complied with the new in 38% of the answers. In 12 of the 26 items, there was less than 50% consistency. These items include proximal pressure points and elevation of extremities for the control of bleeding, use of cervical collars, treatment for an open chest wound, burn dressing, dental avulsion, passive leg raising, administration of bronchodilators, adrenaline, and aspirin. Conclusions: Danish course material showed significant inconsistencies with the new evidence-based first aid guidelines. The new knowledge from the evidence-based guidelines should be incorporated into revised and updated first aid course material.
MeSH term(s)	Books ; Evidence-Based Medicine/methods ; First Aid/standards ; Guideline Adherence ; Humans ; Patient Education as Topic/standards ; Resuscitation/education ; Resuscitation/standards
Language	English
Publishing date	2018-01-10
Publishing country	England
Document type	Journal Article
ZDB-ID	2455990-8
ISSN	1757-7241 ; 1757-7241
ISSN (online)	1757-7241
ISSN	1757-7241
DOI	10.1186/s13049-018-0472-7
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Article: AED'erne kommer!

Lippert, Freddy K

Ugeskrift for laeger

2003 Volume 165, Issue 10, Page(s) 1007

Title translation	AED (automatic external defibrillators) are coming!.
MeSH term(s)	Denmark ; Electric Countershock/instrumentation ; Emergency Treatment ; Heart Arrest/therapy ; Humans ; Practice Guidelines as Topic
Language	Danish
Publishing date	2003-03-03
Publishing country	Denmark
Document type	Comment ; Editorial
ZDB-ID	124102-3
ISSN	1603-6824 ; 0041-5782
ISSN (online)	1603-6824
ISSN	0041-5782
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Article ; Online: Early ICD implantation in cardiac arrest survivors with acute coronary syndrome - predictors of implantation, ICD-therapy and long-term survival.

Søholm, Helle / Laursen, Marie L / Kjaergaard, Jesper / Lindhardt, Tommi B / Hassager, Christian / Møller, Jacob E / Gregers, Emilie / Linde, Louise / Johansen, Jens B / Winther-Jensen, Matilde / Lippert, Freddy K / Køber, Lars / Philbert, Berit T

Scandinavian cardiovascular journal : SCJ

2021 Volume 55, Issue 4, Page(s) 205–212

Abstract: Objectives. ...

Abstract	Objectives.
MeSH term(s)	Acute Coronary Syndrome/surgery ; Defibrillators, Implantable/statistics & numerical data ; Heart Arrest/epidemiology ; Humans ; Survival Analysis ; Survivors/statistics & numerical data
Language	English
Publishing date	2021-03-22
Publishing country	England
Document type	Journal Article
ZDB-ID	1379906-x
ISSN	1651-2006 ; 1401-7431
ISSN (online)	1651-2006
ISSN	1401-7431
DOI	10.1080/14017431.2021.1900597
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Article ; Online: Barriers to recognition of out-of-hospital cardiac arrest during emergency medical calls: a qualitative inductive thematic analysis.

Alfsen, David / Møller, Thea Palsgaard / Egerod, Ingrid / Lippert, Freddy K

Scandinavian journal of trauma, resuscitation and emergency medicine

2015 Volume 23, Page(s) 70

Abstract: Background: The chance of surviving out-of-hospital cardiac arrest (OHCA) depends on early and correct recognition of cardiac arrest by the emergency medical dispatcher during the emergency call. When cardiac arrest is identified, telephone guided ... ...

Abstract	Background: The chance of surviving out-of-hospital cardiac arrest (OHCA) depends on early and correct recognition of cardiac arrest by the emergency medical dispatcher during the emergency call. When cardiac arrest is identified, telephone guided cardiopulmonary resuscitation (CPR) and referral to an automated external defibrillator should be initiated. Previous studies have investigated barriers to recognition of OHCA, and found the caller's description of sign of life, the type of caller, caller's emotional state, an inadequate dialogue during the emergency call, and patient's agonal breathing as influential factors. Though many of these factors are included in the algorithms used by medical dispatchers, many OHCA still remain not recognised. Qualitative studies investigating the communication between the caller and dispatcher are very scarce. There is a lack of knowledge about what influences the dispatchers' recognition of OHCA, focusing on the communication during the emergency call. The purpose of this study is to identify factors affecting medical dispatchers' recognition of OHCA during emergency calls in a qualitative analysis of calls. Methods: An investigator triangulated inductive thematic analysis of recordings of out-of-hospital cardiac arrest emergency calls from December 2012. Participants were the callers (bystanders) and the emergency medical dispatchers. Data were analysed using a hermeneutic approach. Results: Based on the concept of data saturation, 13 recordings of not recognised cardiac arrest and 8 recordings of recognised cardiac arrests were analysed. Three main themes, six subthemes and an embedded theme emerged from the analysis: caller's physical distance (caller near patient, caller not near patient), caller's emotional distance (keeping calm, losing control), caller is a healthcare professional (responsibility is handed over to the caller, caller assumes responsibility), and the embedded theme: caller assesses the patient. Conclusion: The physical and emotional proximity of the caller (bystander) as well as the caller's professional background affect the dispatcher's chances of correct recognition and handling of cardiac arrest. The dispatcher should acknowledge the triple roles of conducting patient assessment, instructing the caller, and reassuring the emotionally affected caller.
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Cardiopulmonary Resuscitation ; Denmark ; Emergency Medical Service Communication Systems ; Emergency Medical Services/standards ; Female ; Humans ; Male ; Middle Aged ; Out-of-Hospital Cardiac Arrest/diagnosis ; Qualitative Research
Language	English
Publishing date	2015-09-17
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2455990-8
ISSN	1757-7241 ; 1757-7241
ISSN (online)	1757-7241
ISSN	1757-7241
DOI	10.1186/s13049-015-0149-4
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Article ; Online: Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

Blomberg, Stig Nikolaj / Folke, Fredrik / Ersbøll, Annette Kjær / Christensen, Helle Collatz / Torp-Pedersen, Christian / Sayre, Michael R / Counts, Catherine R / Lippert, Freddy K

Resuscitation

2019 Volume 138, Page(s) 322–329

Abstract: Background: Emergency medical dispatchers fail to identify approximately 25% of cases of out of hospital cardiac arrest, thus lose the opportunity to provide the caller instructions in cardiopulmonary resuscitation. We examined whether a machine ... ...

Abstract	Background: Emergency medical dispatchers fail to identify approximately 25% of cases of out of hospital cardiac arrest, thus lose the opportunity to provide the caller instructions in cardiopulmonary resuscitation. We examined whether a machine learning framework could recognize out-of-hospital cardiac arrest from audio files of calls to the emergency medical dispatch center. Methods: For all incidents responded to by Emergency Medical Dispatch Center Copenhagen in 2014, the associated call was retrieved. A machine learning framework was trained to recognize cardiac arrest from the recorded calls. Sensitivity, specificity, and positive predictive value for recognizing out-of-hospital cardiac arrest were calculated. The performance of the machine learning framework was compared to the actual recognition and time-to-recognition of cardiac arrest by medical dispatchers. Results: We examined 108,607 emergency calls, of which 918 (0.8%) were out-of-hospital cardiac arrest calls eligible for analysis. Compared with medical dispatchers, the machine learning framework had a significantly higher sensitivity (72.5% vs. 84.1%, p < 0.001) with lower specificity (98.8% vs. 97.3%, p < 0.001). The machine learning framework had a lower positive predictive value than dispatchers (20.9% vs. 33.0%, p < 0.001). Time-to-recognition was significantly shorter for the machine learning framework compared to the dispatchers (median 44 seconds vs. 54 s, p < 0.001). Conclusions: A machine learning framework performed better than emergency medical dispatchers for identifying out-of-hospital cardiac arrest in emergency phone calls. Machine learning may play an important role as a decision support tool for emergency medical dispatchers.
MeSH term(s)	Aged ; Aged, 80 and over ; Cardiopulmonary Resuscitation/methods ; Emergency Medical Dispatch/organization & administration ; Emergency Medical Service Communication Systems ; Emergency Medical Services/methods ; Female ; Humans ; Machine Learning ; Male ; Middle Aged ; Out-of-Hospital Cardiac Arrest/diagnosis ; Out-of-Hospital Cardiac Arrest/therapy ; ROC Curve ; Retrospective Studies ; Time Factors
Language	English
Publishing date	2019-01-18
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	189901-6
ISSN	1873-1570 ; 0300-9572
ISSN (online)	1873-1570
ISSN	0300-9572
DOI	10.1016/j.resuscitation.2019.01.015
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