Objectives: The need for shared definitions and evidence based quality-indicators is widely perceived among Emergency Medical Services (EMS). In the region Friuli Venezia Giulia (FVG), Italy, both an EMS and a data collection system were established several years ago, but a comprehensive assessment of their quality had never been attempted and is the purpose of this study.

Design: Analysis of data regarding EMS emergency activities in the period January - September 2009. The quality indicators proposed by the national project entitled «Progetto Mattoni» were used.

Setting: 79 915 records were included, corresponding to 68 340 calls, 78 158 missions, 50 168 patients.

Results: The database has poor accuracy and accessibility. Only 20/64 indicators could be applied. Some of their definitions limit the applicability and/or reproducibility. The distribution of resources among the 4 operative centres of the region is uneven, as well as their performances in terms of call-to arrival interval. The standard recommended by the national guidelines for urban areas (8 minutes) is respected in only 56%of cases.The rescue intervals are shorter in operative centers with more resources per capita.

Conclusions: There is considerable scope for improvement in both the data collection system and EMS.The indicators themselves should be partly revised.

Download full-text PDF

Source

Publication Analysis

Top Keywords

emergency medical
8
data collection
8
collection system
8
[assessment regional
4
regional emergency
4
medical service
4
service friuli-venezia-giulia
4
friuli-venezia-giulia based
4
based mattoni
4
mattoni ssn
4

Similar Publications

Designer Organs: Ethical Genetic Modifications in the Era of Machine Perfusion.

Annu Rev Biomed Eng

January 2025

1Center for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA;

Gene therapy is a rapidly developing field, finally yielding clinical benefits. Genetic engineering of organs for transplantation may soon be an option, thanks to convergence with another breakthrough technology, ex vivo machine perfusion (EVMP). EVMP allows access to the functioning organ for genetic manipulation prior to transplant.

View Article and Find Full Text PDF

Most people with mental health needs cannot access treatment; among those who do, many access services only once. Accordingly, single-session interventions (SSIs) may help bridge the treatment gap. We conducted the first umbrella review synthesizing research on SSIs for mental health problems and service engagement in youth and adults.

View Article and Find Full Text PDF

Introduction: Sarcomas are a rare and diverse group of mesenchymal-origin solid tumors, constituting only 1% of adult malignancies and classified into soft tissue and bone sarcomas. For localized disease, surgery and radiotherapy remain the cornerstone treatments. However, systemic options for advanced stages are limited, with an overall survival of approximately 20 months.

View Article and Find Full Text PDF

Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.

View Article and Find Full Text PDF

Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!