Absolute frequency of trauma admissions versus time of day partitioned by blunt and penetrating and divided by injury severity score.

Identifying temporal patterns in trauma admissions: Informing resource allocation

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

BackgroundIncreased knowledge of the temporal patterns in the distribution of trauma admissions coul...

Identifying temporal patterns in trauma admissions: Informing resource allocation.

Stonko, David P
Dennis, Bradley M
Callcut, Rachael A
Betzold, Richard D
Smith, Michael C
Medvecz, Andrew J
Guillamondegui, Oscar D

January 2018

BackgroundIncreased knowledge of the temporal patterns in the distribution of trauma admissions coul...

Number and rate of serious injuries for the most frequent diagnoses, by gender and age group, 2002 to 2008.

Jonathan Fan (318887)
Christopher B. McLeod (318888)
Mieke Koehoorn (318889)

February 2013

aRate-ratios stratified by gender, and adjusted for age, occupation and year of injury.</p

Relative frequencies of brain injuries in each community-context situation by hour of incident.

Michael D. Cusimano (396060)
Newton Cho (396061)
Khizer Amin (396062)
Mariam Shirazi (396063)
Steven R. McFaull (396064)
Minh T. Do (396065)
Matthew C. Wong (396066)
Kelly Russell (3645)

March 2013

Relative frequencies of brain injuries in each community-context situation by hour of incident.</...

Absolute frequency of trauma patients sent from the emergency department to each of these disposition by time of day.

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

Patients admitted to the floor peak earliest (red-dashed). Step-down (purple-dashed) and ICU (yellow...

The actual and predicted daily count of the vehicular trauma related IFT and non-IFT calls for ambulance service with percentage difference and effect size expressed in Cliffs Delta.

Kandaswamy Paramasivan (12575351)
Ashwin Prakash (14114777)
Sarthak Gupta (11920366)
Bhairav Phukan (17020626)
Pavithra M.R. (17020629)
Balaji Venugopal (11728142)

September 2023

The actual and predicted daily count of the vehicular trauma related IFT and non-IFT calls for ambul...

Heatmap of trauma admissions by time of day versus day of week.

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

Each block of the heatmap represents a one hour block of one day of the week over the three year stu...

The frequency of different types of traumatic events that adolescents experienced.

Yanxue Zhai (816866)
Kun Liu (148201)
Lin Zhang (8926)
Han Gao (486886)
Zhuo Chen (135585)
Siyi Du (816867)
Lili Zhang (120447)
Yu Guo (102701)

October 2015

The frequency of different types of traumatic events that adolescents experienced.</p

Daily number of trauma admissions.

Jo Røislien (533464)
Signe Søvik (4843428)
Torsten Eken (4843425)

February 2018

Daily number of trauma admissions at OUH Ullevål 2001–2010. Long-term trend from Generalized Addi...

Smoothed, normalized relative trauma frequency per day throughout the year.

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

All trauma (blue) shows above-median trauma during mid year. Several of mechanisms of injury (see le...

Frequencies of accidents and injuries after phase 2 ordered by weighted proportion.

Zoe Chui (8878970)
Daniel Leightley (6587102)
Margaret Jones (188762)
Sabine Landau (249707)
Paul McCrone (121370)
Richard D. Hayes (7910873)
Simon Wessely (354884)
Nicola T. Fear (7303049)
Laura Goodwin (479736)

January 2023

Frequencies of accidents and injuries after phase 2 ordered by weighted proportion.</p

Day for night: Should we staff a trauma center like a nightclub?

Carmody, I. C.
Romero, J.
Velmahos, G. C.

January 2002

Most trauma services throughout the country are staffed on a fixed-call rotational basis. Staff is d...

Percentage and relative frequency of individuals with trauma.

Vivien G. Standen (3298677)
Calogero M. Santoro (10316857)
Daniela Valenzuela (3759910)
Bernardo Arriaza (105164)
John Verano (17014378)
Susana Monsalve (17014381)
Drew Coleman (17014384)
Pablo A. Marquet (6887900)

September 2023

Archaic, Formative, and Late Intermediate Periods: gray bar, considers the total N of the sample reg...

The average prevalence of all overuse injuries and that of substantial overuse injuries.

Yasuharu Nagano (4739310)
Keisuke Kobayashi-Yamakawa (6589490)
Ayako Higashihara (6589493)
Hiroko Yako-Suketomo (4739307)

April 2019

The average prevalence of all overuse injuries and that of substantial overuse injuries.</p

Percentage of in-hospital fatalities within the first 48 hours after admission.

Rauend Rauf (6392567)
Francesca von Matthey (6392570)
Moritz Croenlein (6392573)
Michael Zyskowski (5802722)
Martijn van Griensven (62124)
Peter Biberthaler (361888)
Rolf Lefering (33022)
Stefan Huber-Wagner (437041)

February 2019

Percentage of in-hospital fatalities within the first 48 hours after admission.</p

Identifying temporal patterns in trauma admissions: Informing resource allocation

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

BackgroundIncreased knowledge of the temporal patterns in the distribution of trauma admissions coul...

Identifying temporal patterns in trauma admissions: Informing resource allocation.

Stonko, David P
Dennis, Bradley M
Callcut, Rachael A
Betzold, Richard D
Smith, Michael C
Medvecz, Andrew J
Guillamondegui, Oscar D

January 2018

BackgroundIncreased knowledge of the temporal patterns in the distribution of trauma admissions coul...

Number and rate of serious injuries for the most frequent diagnoses, by gender and age group, 2002 to 2008.

Jonathan Fan (318887)
Christopher B. McLeod (318888)
Mieke Koehoorn (318889)

February 2013

aRate-ratios stratified by gender, and adjusted for age, occupation and year of injury.</p

Relative frequencies of brain injuries in each community-context situation by hour of incident.

Michael D. Cusimano (396060)
Newton Cho (396061)
Khizer Amin (396062)
Mariam Shirazi (396063)
Steven R. McFaull (396064)
Minh T. Do (396065)
Matthew C. Wong (396066)
Kelly Russell (3645)

March 2013

Relative frequencies of brain injuries in each community-context situation by hour of incident.</...

Absolute frequency of trauma patients sent from the emergency department to each of these disposition by time of day.

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

Patients admitted to the floor peak earliest (red-dashed). Step-down (purple-dashed) and ICU (yellow...

The actual and predicted daily count of the vehicular trauma related IFT and non-IFT calls for ambulance service with percentage difference and effect size expressed in Cliffs Delta.

Kandaswamy Paramasivan (12575351)
Ashwin Prakash (14114777)
Sarthak Gupta (11920366)
Bhairav Phukan (17020626)
Pavithra M.R. (17020629)
Balaji Venugopal (11728142)

September 2023

The actual and predicted daily count of the vehicular trauma related IFT and non-IFT calls for ambul...

Heatmap of trauma admissions by time of day versus day of week.

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

Each block of the heatmap represents a one hour block of one day of the week over the three year stu...

The frequency of different types of traumatic events that adolescents experienced.

Yanxue Zhai (816866)
Kun Liu (148201)
Lin Zhang (8926)
Han Gao (486886)
Zhuo Chen (135585)
Siyi Du (816867)
Lili Zhang (120447)
Yu Guo (102701)

October 2015

The frequency of different types of traumatic events that adolescents experienced.</p

Daily number of trauma admissions.

Jo Røislien (533464)
Signe Søvik (4843428)
Torsten Eken (4843425)

February 2018

Daily number of trauma admissions at OUH Ullevål 2001–2010. Long-term trend from Generalized Addi...

Smoothed, normalized relative trauma frequency per day throughout the year.

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

All trauma (blue) shows above-median trauma during mid year. Several of mechanisms of injury (see le...

Frequencies of accidents and injuries after phase 2 ordered by weighted proportion.

Zoe Chui (8878970)
Daniel Leightley (6587102)
Margaret Jones (188762)
Sabine Landau (249707)
Paul McCrone (121370)
Richard D. Hayes (7910873)
Simon Wessely (354884)
Nicola T. Fear (7303049)
Laura Goodwin (479736)

January 2023

Frequencies of accidents and injuries after phase 2 ordered by weighted proportion.</p

Day for night: Should we staff a trauma center like a nightclub?

Carmody, I. C.
Romero, J.
Velmahos, G. C.

January 2002

Most trauma services throughout the country are staffed on a fixed-call rotational basis. Staff is d...

Percentage and relative frequency of individuals with trauma.

Vivien G. Standen (3298677)
Calogero M. Santoro (10316857)
Daniela Valenzuela (3759910)
Bernardo Arriaza (105164)
John Verano (17014378)
Susana Monsalve (17014381)
Drew Coleman (17014384)
Pablo A. Marquet (6887900)

September 2023

Archaic, Formative, and Late Intermediate Periods: gray bar, considers the total N of the sample reg...

The average prevalence of all overuse injuries and that of substantial overuse injuries.

Yasuharu Nagano (4739310)
Keisuke Kobayashi-Yamakawa (6589490)
Ayako Higashihara (6589493)
Hiroko Yako-Suketomo (4739307)

April 2019

The average prevalence of all overuse injuries and that of substantial overuse injuries.</p

Percentage of in-hospital fatalities within the first 48 hours after admission.

Rauend Rauf (6392567)
Francesca von Matthey (6392570)
Moritz Croenlein (6392573)
Michael Zyskowski (5802722)
Martijn van Griensven (62124)
Peter Biberthaler (361888)
Rolf Lefering (33022)
Stefan Huber-Wagner (437041)

February 2019

Percentage of in-hospital fatalities within the first 48 hours after admission.</p

Identifying temporal patterns in trauma admissions: Informing resource allocation

David P. Stonko (721080)
Bradley M. Dennis (6037793)
Rachael A. Callcut (786005)
Richard D. Betzold (6037796)
Michael C. Smith (5166758)
Andrew J. Medvecz (2298523)
Oscar D. Guillamondegui (6037799)

December 2018

BackgroundIncreased knowledge of the temporal patterns in the distribution of trauma admissions coul...

Identifying temporal patterns in trauma admissions: Informing resource allocation.

Stonko, David P
Dennis, Bradley M
Callcut, Rachael A
Betzold, Richard D
Smith, Michael C
Medvecz, Andrew J
Guillamondegui, Oscar D

January 2018

BackgroundIncreased knowledge of the temporal patterns in the distribution of trauma admissions coul...

Number and rate of serious injuries for the most frequent diagnoses, by gender and age group, 2002 to 2008.

Jonathan Fan (318887)
Christopher B. McLeod (318888)
Mieke Koehoorn (318889)

February 2013

aRate-ratios stratified by gender, and adjusted for age, occupation and year of injury.</p

Absolute frequency of trauma admissions versus time of day partitioned by blunt and penetrating and divided by injury severity score.

Abstract

Extracted data

Absolute frequency of trauma admissions versus time of day partitioned by blunt and penetrating and divided by injury severity score.

Abstract

Extracted data

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