ArticleBMC emergency medicine2023
Data quality assessment in emergency medical services: an objective approach.
Article in BMC emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Accuracy and Usability of Emergency Department Diagnostic Codes: A Multicentre Observational Study.Diagnostics (Basel, Switzerland) · 2026Article
- Prehospital Emergency Nurse competence and pain management in patients with acute abdominal pain: a retrospective observational study.BMC emergency medicine · 2026Observational
- Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings.Scientific reports · 2026Article
- Reflexive thematic analysis of emergency department medical records of dementia patients regarding the identification of last days of life.Palliative & supportive care · 2025Article
- Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategies.International journal of medical informatics · 2025Article
- Development and evaluation of the musculoskeletal physical therapy registry in Iran: a step toward enhanced evidence-based practice.BMC musculoskeletal disorders · 2025Article
- Enhancing Emergency Medical Services with Smart Glasses Technology for Optimal Ambulance Positioning in Simulated Critical Patient Care Scenarios.Journal of multidisciplinary healthcare · 2025Article
- Factors affecting completeness of anaesthetic record: a cross-sectional study.Annals of medicine and surgery (2012) · 2023Article
- Emergency department-based injury surveillance information system: a conceptual model.BMC emergency medicine · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundIn emergency medical services, high quality data are of great importance for patient care. Due to the unique nature of this type of services, the purpose of this study was to assess data quality in emergency medical services using an objective approach.
methodsThis was a retrospective quantitative study conducted in 2019. The research sample included the emergency medical records of patients who referred to three emergency departments by the pre-hospital emergency care services (n = 384). Initially a checklist was designed based on the data elements of the triage form, pre-hospital emergency care form, and emergency medical records. Then, data completeness, accuracy and timeliness were assessed.
resultsData completeness in the triage form, pre-hospital emergency care form, and emergency medical records was 52.3%, 70% and 57.3%, respectively. Regarding data accuracy, most of the data elements were consistent. Measuring data timeliness showed that in some cases, paper-based ordering and computer-based data entry was not sequential.
conclusionData quality in emergency medical services was not satisfactory and there were some weaknesses in the documentation processes. The results of this study can inform the clinical and administrative staff to pay more attentions to these weaknesses and plan for data quality improvement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.