PREVALENCE OF CASES OF APPENDICITIS AMONG PATIENTS VISITING EMERGENCY DEPARTMENT AT JORDANIAN ROYAL MEDICAL SERVICES HOSPITALS, JORDAN

AbstractHypothesis:To determine the type and frequency of immediate unsolicited feedback received by emergency medical service (EMS) providers from patients or their family members and emergency department (ED) personnel.Methods:Prospective, observational study of 69 emergency medical services providers in an urban emergency medical service system and 12 metropolitan emergency departments. Feedback was rated by two medical student observers using a prospectively devised original scale.Results:In 295 encounters with patients or family, feedback was rated as follows: 1) none in 224 (76%); 2) positive in 51 (17%); 3) negative in 19 (6%); and 4) mixed in one (<1%). Feedback from 254 encounters with emergency department personnel was rated as: 1) none in 185 (73%); 2) positive in 46 (18%); 3) negative in 21 (8%); and 4) mixed in 2 (1%). Patients who had consumed alcohol were more likely to give negative feedback than were patients who had not consumed alcohol. Feedback from emergency department personnel occurred more often when the emergency medical service provider considered the patient to be critically ill.Conclusion:The two groups provided feedback to emergency medical service providers in approximately one quarter of the calls. When feedback was provided, it was positive more than twice as often as it was negative. Emergency physicians should give regular and constructive feedback to emergency medical services providers more often than currently is the case.

Download Full-text

Linking Emergency Medical Services and Emergency Department Data to Improve Overdose Surveillance in North Carolina

Public Health Reports ◽

10.1177/00333549211012400 ◽

2021 ◽

Vol 136 (1_suppl) ◽

pp. 54S-61S

Author(s):

Jonathan Fix ◽

Amy I. Ising ◽

Scott K. Proescholdbell ◽

Dennis M. Falls ◽

Catherine S. Wolff ◽

...

Keyword(s):

Emergency Department ◽

North Carolina ◽

Emergency Medical Services ◽

Data Linkage ◽

Medical Services ◽

Opioid Overdose ◽

Naloxone Administration ◽

Emergency Medical ◽

Diagnosis Codes ◽

Linkage Methods

Introduction Linking emergency medical services (EMS) data to emergency department (ED) data enables assessing the continuum of care and evaluating patient outcomes. We developed novel methods to enhance linkage performance and analysis of EMS and ED data for opioid overdose surveillance in North Carolina. Methods We identified data on all EMS encounters in North Carolina during January 1–November 30, 2017, with documented naloxone administration and transportation to the ED. We linked these data with ED visit data in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. We manually reviewed a subset of data from 12 counties to create a gold standard that informed developing iterative linkage methods using demographic, time, and destination variables. We calculated the proportion of suspected opioid overdose EMS cases that received International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for opioid overdose in the ED. Results We identified 12 088 EMS encounters of patients treated with naloxone and transported to the ED. The 12-county subset included 1781 linkage-eligible EMS encounters, with historical linkage of 65.4% (1165 of 1781) and 1.6% false linkages. Through iterative linkage methods, performance improved to 91.0% (1620 of 1781) with 0.1% false linkages. Among statewide EMS encounters with naloxone administration, the linkage improved from 47.1% to 91.1%. We found diagnosis codes for opioid overdose in the ED among 27.2% of statewide linked records. Practice Implications Through an iterative linkage approach, EMS–ED data linkage performance improved greatly while reducing the number of false linkages. Improved EMS–ED data linkage quality can enhance surveillance activities, inform emergency response practices, and improve quality of care through evaluating initial patient presentations, field interventions, and ultimate diagnoses.

Download Full-text