cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7e242v
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
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 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054272-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.14379
title: Dataset for: Navigating the climate change minefield: The influence of metaphor on climate doomism

description: Climate doomism is an increasing concern for climate change communication. In the United States, this opinion regarding anthropogenic climate change is now more prevalent than climate skepticism, and is the primary reason cited for opposition to climate action. Doomism is the belief that catastrophic warming of the planet is now inevitable, and that effective mitigation is impossible. The behaviors resulting from this view are comparable to the result of climate skepticism: doomism produces paralyzing eco-anxiety and subsequently inaction. Prior work has hypothesized that the rise in climate doomism and eco-anxiety is linked to climate change risk communication. This study investigates the possibility that the metaphoric language used to communicate the severity and urgency of climate change could inadvertently promote doomism. We employ a survey model to test the influence of metaphoric language on perception of urgency, feasibility, and individual agency in relation to the climate crisis. American English-speaking participants (N = 1542) read a paragraph describing climate change either as a “cliff edge” or “minefield”, with human agency manipulated to be present or absent. Responses were considered to be doomist if they reported a high sense of urgency, paired with a low sense of feasibility and/or agency; this indicates they have a high awareness of the risks associated with the climate crisis, but a low belief that it will be addressed, and/or that their actions can produce meaningful change. Use of either metaphor improved perceived feasibility without a reduction in urgency, indicating that metaphor is an effective climate communication strategy for conveying risk without promoting doomism. However, metaphoric presentation is only effective when paired with human agency, suggesting that agency is a necessary component for successful metaphoric climate communication strategies.
DOI: 10.23668/psycharchives.14620
title: Dataset for: On the decay of event-files

description: This is the dataset for the manuscript 'On the the decay of event-files" by Christian Frings, Negin Gholamiporbarogh, Philip Schmalbrock, Alexander Münchau, Christian Beste
DOI: 10.6084/m9.figshare.25620357
title: Dispatch Categories as Indicators of Out-of-Hospital Time Critical Interventions and Associated Emergency Department Outcomes

description: Emergency medical services (EMS) systems increasingly grapple with rising call volumes and workforce shortages, forcing systems to decide which responses may be delayed. Limited research has linked dispatch codes, on-scene findings, and emergency department (ED) outcomes. This study evaluated the association between dispatch categorizations and time-critical EMS responses defined by prehospital interventions and ED outcomes. Secondarily, we proposed a framework for identifying dispatch categorizations that are safe or unsafe to hold in queue. This retrospective, multi-center analysis encompassed all 9-1-1 responses from 8 accredited EMS systems between 1/1/2021 and 06/30/2023, utilizing the Medical Priority Dispatch System (MPDS). Independent variables included MPDS Protocol numbers and Determinant levels. EMS treatments and ED diagnoses/dispositions were categorized as time-critical using a multi-round consensus survey. The primary outcome was the proportion of EMS responses categorized as time-critical. A non-parametric test for trend was used to assess the proportion of time-critical responses Determinant levels. Based on group consensus, Protocol/Determinant level combinations with at least 120 responses (∼1 per week) were further categorized as safe to hold in queue (&lt;1% time-critical intervention by EMS and &lt;5% time-critical ED outcome) or unsafe to hold in queue (&gt;10% time-critical intervention by EMS or &gt;10% time-critical ED outcome). Of 1,715,612 EMS incidents, 6% (109,250) involved a time-critical EMS intervention. Among EMS transports with linked outcome data (543,883), 12% had time-critical ED outcomes. The proportion of time-critical EMS interventions increased with Determinant level (OMEGA: 1%, ECHO: 38%, p-trend &lt; 0.01) as did time-critical ED outcomes (OMEGA: 3%, ECHO: 31%, p-trend &lt; 0.01). Of 162 unique Protocols/Determinants with at least 120 uses, 30 met criteria for safe to hold in queue, accounting for 8% (142,067) of incidents. Meanwhile, 72 Protocols/Determinants met criteria for unsafe to hold, accounting for 52% (883,683) of incidents. Seven of 32 ALPHA level Protocols and 3/17 OMEGA level Protocols met the proposed criteria for unsafe to hold in queue. In general, Determinant levels aligned with time-critical responses; however, a notable minority of lower acuity Determinant level Protocols met criteria for unsafe to hold. This suggests a more nuanced approach to dispatch prioritization, considering both Protocol and Determinant level factors.
DOI: 10.6084/m9.figshare.25620357.v1
title: Dispatch Categories as Indicators of Out-of-Hospital Time Critical Interventions and Associated Emergency Department Outcomes

description: Emergency medical services (EMS) systems increasingly grapple with rising call volumes and workforce shortages, forcing systems to decide which responses may be delayed. Limited research has linked dispatch codes, on-scene findings, and emergency department (ED) outcomes. This study evaluated the association between dispatch categorizations and time-critical EMS responses defined by prehospital interventions and ED outcomes. Secondarily, we proposed a framework for identifying dispatch categorizations that are safe or unsafe to hold in queue. This retrospective, multi-center analysis encompassed all 9-1-1 responses from 8 accredited EMS systems between 1/1/2021 and 06/30/2023, utilizing the Medical Priority Dispatch System (MPDS). Independent variables included MPDS Protocol numbers and Determinant levels. EMS treatments and ED diagnoses/dispositions were categorized as time-critical using a multi-round consensus survey. The primary outcome was the proportion of EMS responses categorized as time-critical. A non-parametric test for trend was used to assess the proportion of time-critical responses Determinant levels. Based on group consensus, Protocol/Determinant level combinations with at least 120 responses (∼1 per week) were further categorized as safe to hold in queue (&lt;1% time-critical intervention by EMS and &lt;5% time-critical ED outcome) or unsafe to hold in queue (&gt;10% time-critical intervention by EMS or &gt;10% time-critical ED outcome). Of 1,715,612 EMS incidents, 6% (109,250) involved a time-critical EMS intervention. Among EMS transports with linked outcome data (543,883), 12% had time-critical ED outcomes. The proportion of time-critical EMS interventions increased with Determinant level (OMEGA: 1%, ECHO: 38%, p-trend &lt; 0.01) as did time-critical ED outcomes (OMEGA: 3%, ECHO: 31%, p-trend &lt; 0.01). Of 162 unique Protocols/Determinants with at least 120 uses, 30 met criteria for safe to hold in queue, accounting for 8% (142,067) of incidents. Meanwhile, 72 Protocols/Determinants met criteria for unsafe to hold, accounting for 52% (883,683) of incidents. Seven of 32 ALPHA level Protocols and 3/17 OMEGA level Protocols met the proposed criteria for unsafe to hold in queue. In general, Determinant levels aligned with time-critical responses; however, a notable minority of lower acuity Determinant level Protocols met criteria for unsafe to hold. This suggests a more nuanced approach to dispatch prioritization, considering both Protocol and Determinant level factors.
DOI: 10.6084/m9.figshare.25768579.v1
title: Does Single Dose Epinephrine Improve Outcomes for Patients with Out-of-Hospital Cardiac Arrest and Bystander CPR or a Shockable Rhythm?

description: A single dose epinephrine protocol (SDEP) for out-of-hospital cardiac arrest (OHCA) achieves similar survival to hospital discharge (SHD) rates as a multidose epinephrine protocol (MDEP). However, it is unknown if a SDEP improves SHD rates among patients with a shockable rhythm or those receiving bystander cardiopulmonary resuscitation (CPR). This pre-post study, spanning 11/01/2016-10/29/2019 at 5 North Carolina EMS systems, compared pre-implementation MDEP and post-implementation SDEP in patients ≥18 years old with non-traumatic OHCA. Data on initial rhythm type, performance of bystander CPR, and the primary outcome of SHD were sourced from the Cardiac Arrest Registry to Enhance Survival. We compared SDEP vs MDEP performance in each rhythm (shockable and non-shockable) and CPR (bystander CPR or no bystander CPR) subgroup using Generalized Estimating Equations to account for clustering among EMS systems and to adjust for age, sex, race, witnessed arrest, arrest location, AED availability, EMS response interval, and presence of a shockable rhythm or receiving bystander CPR. The interaction of SDEP implementation with rhythm type and bystander CPR was evaluated. Of 1690 patients accrued (899 MDEP, 791 SDEP), 19.2% (324/1690) had shockable rhythms and 38.9% (658/1690) received bystander CPR. After adjusting for confounders, SHD was increased after SDEP implementation among patients with bystander CPR (aOR 1.61, 95%CI 1.03-2.53). However, SHD was similar in the SDEP cohort vs MDEP cohort among patients without bystander CPR (aOR 0.81, 95%CI 0.60-1.09), with a shockable rhythm (aOR 0.96, 95%CI 0.48-1.91), and with a non-shockable rhythm (aOR 1.26, 95%CI 0.89-1.77). In the adjusted model, the interaction between SDEP implementation and bystander CPR was significant for SHD (<i>p</i> = 0.002). Adjusting for confounders, the SDEP increased SHD in patients who received bystander CPR and there was a significant interaction between SDEP and bystander CPR. Single dose epinephrine protocol and MDEP had similar SHD rates regardless of rhythm type.
DOI: 10.6084/m9.figshare.26262270
title: Mapping Prehospital Clinician Impression to Hospital-Based Diagnoses in Children Transported to the Hospital by Emergency Medical Services

description: Emergency medical services (EMS) serves a critical role in the delivery of services to children with out-of-hospital emergencies. The EMS clinicians’ initial field diagnoses, termed “impressions,” facilitate focused patient assessments, guide the application of prehospital treatment protocols, and help determine transport destination. We sought to evaluate the concordance of the EMS clinician impression to a child’s hospital-based diagnosis. We retrospectively studied de-identified pediatric (&lt;18 years old) scene runs transported to the hospital and with available linked hospital data from the 2021 ESO Data Collaborative, a multi-agency prehospital electronic health record dataset. EMS impressions and primary emergency department or admission-based diagnoses were categorized into one of twenty-one major groups in the Diagnosis Grouping System. We identified the most common hospital-based discharge diagnoses and evaluated for the agreement between EMS impression and hospital-based diagnosis using Cohen’s Kappa statistic. We included 35,833 pediatric transports from the scene with linked prehospital and in-hospital data (median age 11 years, interquartile range, 3-15 years; 50.9% male). The most common categories for both EMS impressions and hospital-based diagnoses were as follows respectively: trauma (26.1%; 24.6%), neurologic diseases (18.9%; 16.4%), psychiatric and behavioral diseases and substance use disorder (11.8%; 11.6%), and respiratory diseases (11.1% and 9.5%). A total of 23,224 out of 35,833 patients, or 64.8%, had concordant EMS impressions and hospital-based diagnoses. There was high agreement between common EMS impression and in-hospital diagnoses (trauma 77.3%; neurologic diseases 70.3%; respiratory diseases 64.5%; and psychiatric, behavioral disease and substance use disorder 73.9%). Hospital-based diagnoses demonstrated moderate concordance with prehospital data (Cohen’s κ = 0.59). We found moderate concordance between EMS primary impression and hospital diagnoses. The EMS encounter is brief and without capabilities of advanced testing, but initial impressions may influence the basis of the triage assignment and interventions during the hospital-based encounter. By evaluating EMS impressions and ultimate hospital diagnoses, pediatric protocols may be streamlined, and specific training emphasized in pursuit of improving patient outcomes. Future work is needed to examine instances of discordance and evaluate the impact on patient care and outcomes.
DOI: 10.6084/m9.figshare.26262270.v1
title: Mapping Prehospital Clinician Impression to Hospital-Based Diagnoses in Children Transported to the Hospital by Emergency Medical Services

description: Emergency medical services (EMS) serves a critical role in the delivery of services to children with out-of-hospital emergencies. The EMS clinicians’ initial field diagnoses, termed “impressions,” facilitate focused patient assessments, guide the application of prehospital treatment protocols, and help determine transport destination. We sought to evaluate the concordance of the EMS clinician impression to a child’s hospital-based diagnosis. We retrospectively studied de-identified pediatric (&lt;18 years old) scene runs transported to the hospital and with available linked hospital data from the 2021 ESO Data Collaborative, a multi-agency prehospital electronic health record dataset. EMS impressions and primary emergency department or admission-based diagnoses were categorized into one of twenty-one major groups in the Diagnosis Grouping System. We identified the most common hospital-based discharge diagnoses and evaluated for the agreement between EMS impression and hospital-based diagnosis using Cohen’s Kappa statistic. We included 35,833 pediatric transports from the scene with linked prehospital and in-hospital data (median age 11 years, interquartile range, 3-15 years; 50.9% male). The most common categories for both EMS impressions and hospital-based diagnoses were as follows respectively: trauma (26.1%; 24.6%), neurologic diseases (18.9%; 16.4%), psychiatric and behavioral diseases and substance use disorder (11.8%; 11.6%), and respiratory diseases (11.1% and 9.5%). A total of 23,224 out of 35,833 patients, or 64.8%, had concordant EMS impressions and hospital-based diagnoses. There was high agreement between common EMS impression and in-hospital diagnoses (trauma 77.3%; neurologic diseases 70.3%; respiratory diseases 64.5%; and psychiatric, behavioral disease and substance use disorder 73.9%). Hospital-based diagnoses demonstrated moderate concordance with prehospital data (Cohen’s κ = 0.59). We found moderate concordance between EMS primary impression and hospital diagnoses. The EMS encounter is brief and without capabilities of advanced testing, but initial impressions may influence the basis of the triage assignment and interventions during the hospital-based encounter. By evaluating EMS impressions and ultimate hospital diagnoses, pediatric protocols may be streamlined, and specific training emphasized in pursuit of improving patient outcomes. Future work is needed to examine instances of discordance and evaluate the impact on patient care and outcomes.
DOI: 10.15468/dl.qnuejp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
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 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054273-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.25768579
title: Does Single Dose Epinephrine Improve Outcomes for Patients with Out-of-Hospital Cardiac Arrest and Bystander CPR or a Shockable Rhythm?

description: A single dose epinephrine protocol (SDEP) for out-of-hospital cardiac arrest (OHCA) achieves similar survival to hospital discharge (SHD) rates as a multidose epinephrine protocol (MDEP). However, it is unknown if a SDEP improves SHD rates among patients with a shockable rhythm or those receiving bystander cardiopulmonary resuscitation (CPR). This pre-post study, spanning 11/01/2016-10/29/2019 at 5 North Carolina EMS systems, compared pre-implementation MDEP and post-implementation SDEP in patients ≥18 years old with non-traumatic OHCA. Data on initial rhythm type, performance of bystander CPR, and the primary outcome of SHD were sourced from the Cardiac Arrest Registry to Enhance Survival. We compared SDEP vs MDEP performance in each rhythm (shockable and non-shockable) and CPR (bystander CPR or no bystander CPR) subgroup using Generalized Estimating Equations to account for clustering among EMS systems and to adjust for age, sex, race, witnessed arrest, arrest location, AED availability, EMS response interval, and presence of a shockable rhythm or receiving bystander CPR. The interaction of SDEP implementation with rhythm type and bystander CPR was evaluated. Of 1690 patients accrued (899 MDEP, 791 SDEP), 19.2% (324/1690) had shockable rhythms and 38.9% (658/1690) received bystander CPR. After adjusting for confounders, SHD was increased after SDEP implementation among patients with bystander CPR (aOR 1.61, 95%CI 1.03-2.53). However, SHD was similar in the SDEP cohort vs MDEP cohort among patients without bystander CPR (aOR 0.81, 95%CI 0.60-1.09), with a shockable rhythm (aOR 0.96, 95%CI 0.48-1.91), and with a non-shockable rhythm (aOR 1.26, 95%CI 0.89-1.77). In the adjusted model, the interaction between SDEP implementation and bystander CPR was significant for SHD (<i>p</i> = 0.002). Adjusting for confounders, the SDEP increased SHD in patients who received bystander CPR and there was a significant interaction between SDEP and bystander CPR. Single dose epinephrine protocol and MDEP had similar SHD rates regardless of rhythm type.
DOI: 10.6084/m9.figshare.25944329
title: Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model

description: Evidence suggests that Extracorporeal Cardiopulmonary Resuscitation (ECPR) can improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). However, when ECPR is indicated over 50% of potential candidates are unable to qualify in the current hospital-based system due to geographic limitations. This study employs a Geographic Information System (GIS) model to estimate the number of ECPR eligible patients within the United States in the current hospital-based system, a prehospital ECPR ground-based system, and a prehospital ECPR Helicopter Emergency Medical Services (HEMS)-based system. We constructed a GIS model to estimate ground and helicopter transport times. Time-dependent rates of ECPR eligibility were derived from the Resuscitation Outcome Consortium (ROC) database, while the Cardiac Arrest Registry to Enhance Survival (CARES) registry determined the number of OHCA patients meeting ECPR criteria within designated transportation times. Emergency Medical Services (EMS) response time, ECPR candidacy determination time, and on-scene time were modeled based on data from the EROCA trial. The combined model was used to estimate the total ECPR eligibility in each system. The CARES registry recorded 736,066 OHCA patients from 2013 to 2021. After applying clinical criteria, 24,661 (3.4%) ECPR-indicated OHCA were identified. When considering overall ECPR eligibility within 45 min from OHCA to initiation, only 11.76% of OHCA where ECPR was indicated were eligible in the current hospital-based system. The prehospital ECPR HEMS-based system exhibited a four-fold increase in ECPR eligibility (49.3%), while the prehospital ground-based system showed a more than two-fold increase (28.4%). The study demonstrates a two-fold increase in ECPR eligibility for a prehospital ECPR ground-based system and a four-fold increase for a prehospital ECPR HEMS-based system compared to the current hospital-based ECPR system. This novel GIS model can inform future ECPR implementation strategies, optimizing systems of care.