cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21430439
title: Patient Demographics Are Associated with Differences in Prehospital Pain Management among Trauma Patients

description: Disparities have been observed in the treatment of pain in emergency department patients. However, few studies have evaluated such disparities in emergency medical services (EMS). We describe pain medication administration for trauma indications in an urban EMS system and how it varies with patient demographics. We performed a retrospective review of the electronic medical records of adult patients transported for isolated trauma (without accompanying medical complaint) from 1/1/18 to 6/30/2020 by a third service EMS agency in a major United States metropolitan area. We performed descriptive statistics on epidemiology, type of pain medications administered, and pain scores. Kruskall-Wallis and chi-square or Fisher’s exact tests were used to compare continuous and categorical variables, respectively. We constructed a logistic regression model to estimate the odds of nontreatment of pain by age, race, sex, transport interval, pain score, and Glasgow Coma Scale (GCS) score for patients with pain scores of at least four on a one to ten scale, the threshold for pain treatment per the EMS protocol. Of 32,463 EMS patients with traumatic injuries included in the analysis, 40% (12,881/32,463) were African American, 50% (16,284/32,463) were female, the median age was 27 years (IQR 45-64), and the median initial pain score was 5 (IQR 2-8). Fifteen percent (4,989/32,463) received any analgesic. Initial pain scores were significantly higher for African American and female patients. African American patients were less likely to receive analgesia compared to White and Hispanic patients (19% versus 25% and 23%, respectively, p &lt; 0.0001). Adjusting for age, pain score, transport interval, and GCS, African American compared to White, and female compared to male patients were less likely to be treated for pain, OR 1.59 (95% CI 1.47-1.72) and OR 1.20 (95% CI 1.11-1.28), respectively. Among patients with isolated traumatic injuries treated in a single, urban EMS system, African American and female patients were less likely to receive analgesia than White or male patients. Analgesics were given to a small percentage of patients who were eligible for treatment by protocol, and intravenous opioids were used in the vast majority patients who received treatment.
DOI: 10.6084/m9.figshare.21430439.v1
title: Patient Demographics Are Associated with Differences in Prehospital Pain Management among Trauma Patients

description: Disparities have been observed in the treatment of pain in emergency department patients. However, few studies have evaluated such disparities in emergency medical services (EMS). We describe pain medication administration for trauma indications in an urban EMS system and how it varies with patient demographics. We performed a retrospective review of the electronic medical records of adult patients transported for isolated trauma (without accompanying medical complaint) from 1/1/18 to 6/30/2020 by a third service EMS agency in a major United States metropolitan area. We performed descriptive statistics on epidemiology, type of pain medications administered, and pain scores. Kruskall-Wallis and chi-square or Fisher’s exact tests were used to compare continuous and categorical variables, respectively. We constructed a logistic regression model to estimate the odds of nontreatment of pain by age, race, sex, transport interval, pain score, and Glasgow Coma Scale (GCS) score for patients with pain scores of at least four on a one to ten scale, the threshold for pain treatment per the EMS protocol. Of 32,463 EMS patients with traumatic injuries included in the analysis, 40% (12,881/32,463) were African American, 50% (16,284/32,463) were female, the median age was 27 years (IQR 45-64), and the median initial pain score was 5 (IQR 2-8). Fifteen percent (4,989/32,463) received any analgesic. Initial pain scores were significantly higher for African American and female patients. African American patients were less likely to receive analgesia compared to White and Hispanic patients (19% versus 25% and 23%, respectively, p &lt; 0.0001). Adjusting for age, pain score, transport interval, and GCS, African American compared to White, and female compared to male patients were less likely to be treated for pain, OR 1.59 (95% CI 1.47-1.72) and OR 1.20 (95% CI 1.11-1.28), respectively. Among patients with isolated traumatic injuries treated in a single, urban EMS system, African American and female patients were less likely to receive analgesia than White or male patients. Analgesics were given to a small percentage of patients who were eligible for treatment by protocol, and intravenous opioids were used in the vast majority patients who received treatment.
DOI: 10.6084/m9.figshare.22332214.v1
title: First Responder CPR and Survival Differences in Texas Minority and Lower Socioeconomic Status Neighborhoods

description: First responder (FR) cardiopulmonary resuscitation (CPR) is an important component of out-of-hospital cardiac arrest (OHCA) care. However, little is known about FR CPR disparities. We linked the 2014–2021 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) database to census tract data. We included non-traumatic OHCAs that were not witnessed by 9-1-1 responders and did not receive bystander CPR. We defined census tracts as having &gt;50% of a race/ethnicity: White, Black, or Hispanic/Latino. We also stratified patients into quartiles based on socioeconomic status (SES): household income, high school graduation, and unemployment. We also combined race/ethnicity and income to create a total of five mixed strata, comparing lower income and minority census tracts to high income White census tracts. We created mixed model logistic regression models, adjusting for confounders and modeling census tract as a random intercept. Using the models, we compared FR CPR rates for census race/ethnicity (Black and Hispanic/Latino compared to White), and SES quartiles (2nd, 3rd, and 4th quartiles compared to 1st quartiles). Secondarily, we evaluated the association between FR CPR and survival for all strata. We included 21,966 OHCAs, and 57.4% had FR CPR. Evaluating the association between census tract characteristic and FR CPR, majority Black (aOR 0.30, 95% CI 0.22–0.41) had a lower bystander CPR rate when compared to majority White. The lowest income quartile had a lower rate of bystander CPR (aOR 0.80, 95% CI 0.65–0.98). The worst unemployment quartile was also associated with a lower rate of FR CPR (aOR 0.75, 95% CI 0.61–0.92). Combining race/ethnicity and income, middle income majority Black (30.0%; aOR 0.27, 95% CI 0.17–0.46) and low income &gt;80% Black (31.8%; aOR 0.27, 95% CI 0.10–0.68) had lower rates of FR CPR in comparison to high income majority White. There were no associations between Hispanic or lower high school graduation and lower rates of FR CPR. We found no association between FR CPR and survival for all three strata. While we identified disparities in FR CPR in low SES and majority Black census tracts, we identified no association between FR CPR and survival in Texas.
DOI: 10.6084/m9.figshare.21545768.v1
title: Disparities in Emergency Medical Services Care Delivery in the United States: A Scoping Review

description: Emergency medical services (EMS) often serve as the first medical contact for ill or injured patients, representing a critical access point to the health care delivery continuum. While a growing body of literature suggests inequities in care within hospitals and emergency departments, limited research has comprehensively explored disparities related to patient demographic characteristics in prehospital care. We aimed to summarize the existing literature on disparities in prehospital care delivery for patients identifying as members of an underrepresented race, ethnicity, sex, gender, or sexual orientation group. We conducted a scoping review of peer-reviewed and non-peer-reviewed (gray) literature. We searched PubMed, CINAHL, Web of Science, Proquest Dissertations, Scopus, Google, and professional websites for studies set in the U.S. between 1960 and 2021. Each abstract and full-text article was screened by two reviewers. Studies written in English that addressed the underrepresented groups of interest and investigated EMS-related encounters were included. Studies were excluded if a disparity was noted incidentally but was not a stated objective or discussed. Data extraction was conducted using a standardized electronic form. Results were summarized qualitatively using an inductive approach. One hundred forty-five full-text articles from the peer-reviewed literature and two articles from the gray literature met inclusion criteria: 25 studies investigated sex/gender, 61 studies investigated race/ethnicity, and 58 studies investigated both. One study investigated sexual orientation. The most common health conditions evaluated were out-of-hospital cardiac arrest (n = 50), acute coronary syndrome (n = 36), and stroke (n = 31). The phases of EMS care investigated included access (n = 55), pre-arrival care (n = 46), diagnosis/treatment (n = 42), and response/transport (n = 40), with several studies covering multiple phases. Disparities were identified related to all phases of EMS care for underrepresented groups, including symptom recognition, pain management, and stroke identification. The gray literature identified public perceptions of EMS clinicians’ cultural competency and the ability to appropriately care for transgender patients in the prehospital setting. Existing research highlights health disparities in EMS care delivery throughout multiple health outcomes and phases of EMS care. Future research is needed to identify structured mechanisms to eliminate disparities, address clinician bias, and provide high-quality equitable care for all patient populations.
DOI: 10.6084/m9.figshare.21820902
title: 05_AgeGroups_comf.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for walking at comfortable walking speed categorised per age group (3-6y, 7-8y, 9-10y, 11-12y and &gt;13y). Group averages are presented.
DOI: 10.6084/m9.figshare.21820902.v1
title: 05_AgeGroups_comf.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for walking at comfortable walking speed categorised per age group (3-6y, 7-8y, 9-10y, 11-12y and &gt;13y). Group averages are presented.
DOI: 10.6084/m9.figshare.24474829
title: Impact of primary care physicians working part-time on patient care: A scoping review

description: Increasing numbers of primary care physicians (PCPs) are reducing their working hours. This decline may affect the workforce and the care provided to patients. This scoping review aims to determine the impact of PCPs working part-time on quality of patient care. A systematic search was conducted using the databases PubMed, CINAHL, Embase, and the Cochrane Library. Peer-reviewed, original articles with either quantitative, qualitative or mixed methods designs, published after 2000 and written in any language were considered. The search strings combined the two concepts: part-time work and primary care. Studies were included if they examined any effect of PCPs working part-time on quality of patient care. The initial search resulted in 2,323 unique studies. Abstracts were screened, and information from full texts on the study design, part-time and quality of patient care was extracted. The final dataset included 14 studies utilising data from 1996 onward. The studies suggest that PCPs working part-time may negatively affect patient care, particularly the access and continuity of care domains. Clinical outcomes and patient satisfaction seem mostly unaffected or even improved. There is evidence of both negative and positive effects of PCPs working part-time on quality of patient care. Approaches that mitigate negative effects of part-time work while maintaining positive effects should be implemented.
DOI: 10.6084/m9.figshare.24474829.v1
title: Impact of primary care physicians working part-time on patient care: A scoping review

description: Increasing numbers of primary care physicians (PCPs) are reducing their working hours. This decline may affect the workforce and the care provided to patients. This scoping review aims to determine the impact of PCPs working part-time on quality of patient care. A systematic search was conducted using the databases PubMed, CINAHL, Embase, and the Cochrane Library. Peer-reviewed, original articles with either quantitative, qualitative or mixed methods designs, published after 2000 and written in any language were considered. The search strings combined the two concepts: part-time work and primary care. Studies were included if they examined any effect of PCPs working part-time on quality of patient care. The initial search resulted in 2,323 unique studies. Abstracts were screened, and information from full texts on the study design, part-time and quality of patient care was extracted. The final dataset included 14 studies utilising data from 1996 onward. The studies suggest that PCPs working part-time may negatively affect patient care, particularly the access and continuity of care domains. Clinical outcomes and patient satisfaction seem mostly unaffected or even improved. There is evidence of both negative and positive effects of PCPs working part-time on quality of patient care. Approaches that mitigate negative effects of part-time work while maintaining positive effects should be implemented.
DOI: 10.6084/m9.figshare.21820905
title: 06_AgeGroups_fast.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for walking at fast walking speed (30% faster than comfortable) categorised per age group (3-6y, 7-8y, 9-10y, 11-12y and &gt;13y). Group averages are presented.
DOI: 10.6084/m9.figshare.21820905.v1
title: 06_AgeGroups_fast.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for walking at fast walking speed (30% faster than comfortable) categorised per age group (3-6y, 7-8y, 9-10y, 11-12y and &gt;13y). Group averages are presented.
DOI: 10.6084/m9.figshare.21820917
title: 03_Overview_fast.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for every valid step (250 steps recorded) of both legs, while walking at fast walking speed (30% faster than comfortable).
DOI: 10.6084/m9.figshare.21820923
title: 07_AgeGroups_slow.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for walking at slow walking speed (30% slower than fast) categorised per age group (3-6y, 7-8y, 9-10y, 11-12y and &gt;13y). Group averages are presented.
DOI: 10.6084/m9.figshare.21820923.v1
title: 07_AgeGroups_slow.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for walking at slow walking speed (30% slower than fast) categorised per age group (3-6y, 7-8y, 9-10y, 11-12y and &gt;13y). Group averages are presented.
DOI: 10.6084/m9.figshare.21814860
title: 25. individual files - fast speed

description: This folder contains the processed data from the 3D gait analysis measurement in 55 typically developing children walking at fast walking speed. This includes spatiotemporal parameters, joint angles, GRF, joint moment and joint power for every child, organized per walking speed. Data is generated by a private custom-made Matlab script for analyzing .mox data. Consider ‘26_Description_parameters’ for interpreting the data
DOI: 10.6084/m9.figshare.21814860.v1
title: 25. individual files - fast speed

description: This folder contains the processed data from the 3D gait analysis measurement in 55 typically developing children walking at fast walking speed. This includes spatiotemporal parameters, joint angles, GRF, joint moment and joint power for every child, organized per walking speed. Data is generated by a private custom-made Matlab script for analyzing .mox data. Consider ‘26_Description_parameters’ for interpreting the data
DOI: 10.6084/m9.figshare.21814833.v1
title: 25. individual files - slow speed

description: This folder contains the processed data from the 3D gait analysis measurement in 55 typically developing children walking at slow walking speed. This includes spatiotemporal parameters, joint angles, GRF, joint moment and joint power for every child, organized per walking speed. Data is generated by a private custom-made Matlab script for analyzing .mox data. Consider ‘26_Description_parameters’ for interpreting the data
DOI: 10.6084/m9.figshare.21814833
title: 25. individual files - slow speed

description: This folder contains the processed data from the 3D gait analysis measurement in 55 typically developing children walking at slow walking speed. This includes spatiotemporal parameters, joint angles, GRF, joint moment and joint power for every child, organized per walking speed. Data is generated by a private custom-made Matlab script for analyzing .mox data. Consider ‘26_Description_parameters’ for interpreting the data
DOI: 10.6084/m9.figshare.21814821
title: 25. Individual files - comfortable speed

description: This folder contains the processed data from the 3D gait analysis measurement in 55 typically developing children walking at comfortable walking speed. This includes spatiotemporal parameters, joint angles, GRF, joint moment and joint power for every child, organized per walking speed. Data is generated by a private custom-made Matlab script for analyzing .mox data. Consider ‘26_Description_parameters’ for interpreting the data
DOI: 10.6084/m9.figshare.21814776
title: 24. txt files - fast speed

description: This folder contains .txt files from the 3D gait analysis for every child, for walking at fast speed. The .txt files contain marker position and force data, kinematic data (joint angles), kinetic data (joint moment, GRF and joint power), EMG data and Center of Mass data generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814692
title: 24. txt files - slow speed

description: This folder contains .txt files from the 3D gait analysis for every child, for walking at slow speed. The .txt files contain marker position and force data, kinematic data (joint angles), kinetic data (joint moment, GRF and joint power), EMG data and Center of Mass data generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814692.v1
title: 24. txt files - slow speed

description: This folder contains .txt files from the 3D gait analysis for every child, for walking at slow speed. The .txt files contain marker position and force data, kinematic data (joint angles), kinetic data (joint moment, GRF and joint power), EMG data and Center of Mass data generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814632
title: 24. txt files - comfortable speed

description: This folder contains .txt files from the 3D gait analysis for every child, for walking at comfortable speed. The .txt files contain marker position and force data, kinematic data (joint angles), kinetic data (joint moment, GRF and joint power), EMG data and Center of Mass data generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814632.v1
title: 24. txt files - comfortable speed

description: This folder contains .txt files from the 3D gait analysis for every child, for walking at comfortable speed. The .txt files contain marker position and force data, kinematic data (joint angles), kinetic data (joint moment, GRF and joint power), EMG data and Center of Mass data generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814620
title: 23. mox files - fast speed

description: This folder contains the .mox files for every child, walking at fast walking speed. The .mox files contain subject data (e.g. sex, body mass, knee and ankle width), marker position and force plate data, kinematic data (joint angles), kinetic data (GRF, joint moment, joint power) and EMG data (EMG is not described in this manuscript) generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814584
title: 23. mox files - slow speed

description: This folder contains the .mox files for every child, walking at slow walking speed. The .mox files contain subject data (e.g. sex, body mass, knee and ankle width), marker position and force plate data, kinematic data (joint angles), kinetic data (GRF, joint moment, joint power) and EMG data (EMG is not described in this manuscript) generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.21814569
title: 23. mox Files - comfortable speed

description: This folder contains the .mox files for every child, walking at comfortable walking speed. The .mox files contain subject data (e.g. sex, body mass, knee and ankle width), marker position and force plate data, kinematic data (joint angles), kinetic data (GRF, joint moment, joint power) and EMG data (EMG is not described in this manuscript) generated by CAREN software (D-flow).
DOI: 10.6084/m9.figshare.24474814
title: Base code and mapping data for the publication:<b>The effect of strategic alliances on supply chain resilience under external shocks</b>

description: This dataset supplements the paper of "<b>The effect of strategic alliances on supply chain resilience under external shocks</b>" with the codes (in the format of .m) to duplicate the reported measurement figures.
DOI: 10.6084/m9.figshare.24474814.v2
title: Base code and mapping data for the publication:<b>The effect of strategic alliances on supply chain resilience under external shocks</b>

description: This dataset supplements the paper of "<b>The effect of strategic alliances on supply chain resilience under external shocks</b>" with the codes (in the format of .m) to duplicate the reported measurement figures.
DOI: 10.6084/m9.figshare.24474814.v1
title: Base code and mapping data for the publication:<b>The effect of strategic alliances on supply chain resilience under external shocks</b>

description: This dataset supplements the paper of "<b>The effect of strategic alliances on supply chain resilience under external shocks</b>" with the codes (in the format of .m) to duplicate the reported measurement figures.
DOI: 10.25625/5hidii/sqtpr8
title: ThyroidCortisol_plasticity_FINAL.r

description: :unav
DOI: 10.25625/5hidii/ew0rpt
title: multivariate plasticity analysis_final

description: :unav
DOI: 10.5281/zenodo.10053630
title: Characterising Pythonic Data Structure Usage Scenarios in Textbooks
DOI: 10.5281/zenodo.10053631
title: To Be Pythonic: On The Usage of Python Data Structures in Textbooks
DOI: 10.5281/zenodo.10060938
title: Characterising Pythonic Data Structure Usage Scenarios in Textbooks
DOI: 10.5281/zenodo.10058795
title: Phylogenomics on Klebsormidiophyceae: Assemblies, SuperTranscripts, BUSCO, Transdecoder, Decontamination, Orthofinder, PhyloPyPruner, Prequal, and concatenated Alignment

description: Files used for the phylogenomic analysis of Klebsormidiophyceae
DOI: 10.5281/zenodo.10058794
title: Phylogenomics on Klebsormidiophyceae: Assemblies, SuperTranscripts, BUSCO, Transdecoder, Decontamination, Orthofinder, PhyloPyPruner, Prequal, and concatenated Alignment

description: Files used for the phylogenomic analysis of Klebsormidiophyceae
DOI: 10.6084/m9.figshare.24376300
title: Underlying data

description: Audio recordings of focus group interviews , Transcripts of focus group interviews and post video questionnaire responses