Development of a Minimum Dataset for a Prehospital Stroke Emergency Dashboard.

OBJECTIVE

This study aimed to develop a Minimum Dataset (MDS) for a prehospital stroke emergency information dashboard in Iran.

METHODS

This applied study was conducted in four phases. Phase 1 involved a scoping review (Arksey and O'Malley framework, PRISMA-ScR) of PubMed, Scopus, and Web of Science databases in August 2024. In phase 2, data items were extracted and refined from the included studies and aligned with key domestic and international clinical guidelines. Phase 3 consisted of element classification with expert input. In phase 4, content validity was assessed using the content validity ratio (CVR) and content validity index (CVI) among 10 experts, and elements were finalized based on necessity, clarity, and simplicity.

RESULTS

Data elements were organized into two main categories: management data and clinical data. The validated MDS comprised 91 essential elements. Management data (41 elements) included identity and mission information (17 elements: mission identifier, patient information, incident location, dispatch team), key time indicators (11 elements: golden times, standard time intervals), and structural/logistical indicators (13 elements: equipment, human resources). Clinical data (50 elements) comprised initial assessment and stroke screening (5 elements: level of consciousness, Face-Arm-Speech-Time [FAST] test, symptom onset time), vital signs and clinical findings (18 elements: continuous monitoring, associated symptoms, medical history), prehospital interventions (10 elements: airway/ABC, specialized measures, pharmacotherapy), in-hospital interventions (2 elements: diagnostic and therapeutic measures), and outcome/final diagnosis (15 elements: dispatch, technician, in-hospital diagnoses; patient outcome; prehospital quality of care).

CONCLUSION

This standardized MDS integrated prehospital data, reduced documentation burden, and supported dashboards for performance monitoring, outcome feedback, benchmarking, delay reduction, and improved stroke outcomes.