Studies in Emergency Department Data Collection: Shared versus Split Responsibility for Patient Enrollment

2004 ◽  
Vol 11 (2) ◽  
pp. 200-203 ◽  
Author(s):  
J. E. Hollander
2004 ◽  
Vol 11 (2) ◽  
pp. 200-203 ◽  
Author(s):  
Judd E. Hollander ◽  
Dina M. Sparano ◽  
Marianna Karounos ◽  
Frank D. Sites ◽  
Frances S. Shofer

1996 ◽  
Vol 28 (6) ◽  
pp. 635-640 ◽  
Author(s):  
Harold B Weiss ◽  
Susan M Dill ◽  
Samuel N Forjuoh ◽  
Herbert G Garrison ◽  
Jeffrey H Coben

2019 ◽  
Vol 2 ◽  
pp. 18 ◽  
Author(s):  
Aileen McCabe ◽  
Maria Brenner ◽  
Philip Larkin ◽  
Sinéad Nic An Fhailí ◽  
Brenda Gannon ◽  
...  

Background: Good-quality data is required for valid and reliable key performance indicators. Little is known of the facilitators and barriers of capturing the required data for emergency department key performance indicators. This study aimed to explore and understand how current emergency department data collection systems relevant to emergency department key performance indicators are integrated into routine service delivery, and to identify the resources required to capture these data elements. Methods: Following pilot testing, we conducted two focus groups with a multi-disciplinary panel of 14 emergency department stakeholders drawn from urban and rural emergency departments, respectively. Focus groups were analyzed using Attride–Stirling’s framework for thematic network analysis. Results: The global theme “Understanding facilitators and barriers for emergency department data collection systems” emerged from three organizing themes: “understanding current emergency department data collection systems”; “achieving the ideal emergency department data capture system for the implementation of emergency department key performance indicators”; and “emergency department data capture systems for performance monitoring purposes within the wider context”. Conclusion: The pathways to improving emergency department data capture systems for emergency department key performance indicators include upgrading emergency department information systems and investment in hardware technology and data managers. Educating stakeholders outside the emergency department regarding the importance of emergency department key performance indicators as hospital-wide performance indicators underpins the successful implementation of valid and reliable emergency department key performance indicators.


2020 ◽  
pp. 000486742098141
Author(s):  
Sandro Sperandei ◽  
Andrew Page ◽  
Matthew J Spittal ◽  
Katrina Witt ◽  
Jo Robinson ◽  
...  

2019 ◽  
Vol 72 ◽  
pp. 132-140 ◽  
Author(s):  
Cristina Lidón-Moyano ◽  
Deborah Wiebe ◽  
Paul Gruenewald ◽  
Magdalena Cerdá ◽  
Paul Brown ◽  
...  

2021 ◽  
Vol 27 (Suppl 1) ◽  
pp. i9-i12
Author(s):  
Anna Hansen ◽  
Dana Quesinberry ◽  
Peter Akpunonu ◽  
Julia Martin ◽  
Svetla Slavova

IntroductionThe purpose of this study was to estimate the positive predictive value (PPV) of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes for injury, poisoning, physical or sexual assault complicating pregnancy, childbirth and the puerperium (PCP) to capture injury encounters within both hospital and emergency department claims data.MethodsA medical record review was conducted on a sample (n=157) of inpatient and emergency department claims from one Kentucky healthcare system from 2015 to 2017, with any diagnosis in the ICD-10-CM range O9A.2-O9A.4. Study clinicians reviewed medical records for the sampled cases and used an abstraction form to collect information on documented presence of injury and PCP complications. The study estimated the PPVs and the 95% CIs of O9A.2-O9A.4 codes for (1) capturing injuries and (2) capturing injuries complicating PCP.ResultsThe estimated PPV for the codes O9A.2-O9A.4 to identify injury in the full sample was 79.6% (95% CI 73.3% to 85.9%) and the PPV for capturing injuries complicating PCP was 72.0% (95% CI 65.0% to 79.0%). The estimated PPV for an inpatient principal diagnosis O9A.2-O9A.4 to capture injuries was 90.7% (95% CI 82.0% to 99.4%) and the PPV for capturing injuries complicating PCP was 88.4% (95% CI 78.4% to 98.4%). The estimated PPV for any mention of O9A.2-O9A.4 in emergency department data to capture injuries was 95.2% (95% CI 90.6% to 99.9%) and the PPV for capturing injuries complicating PCP was 81.0% (95% CI 72.4% to 89.5%).DiscussionThe O9A.2-O9A.4 codes captured high percentage true injury cases among pregnant and puerperal women.


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