| Literature DB >> 33093557 |
Lina T M Quadflieg1,2, Stefan K Beckers1,3, Sebastian Bergrath1,4, Ann-Katrin Brockert1, Hanna Schröder1, Anja Sommer1,5, Jörg C Brokmann6, Rolf Rossaint1, Marc Felzen7.
Abstract
In 2014, a telemedicine system was established in 24-h routine use in the emergency medical service (EMS) of the city of Aachen. This study tested whether the diagnostic concordance of the tele-EMS physician reaches the same diagnostic concordance as the on-site-EMS physician. The initial prehospital diagnoses were compared to the final hospital diagnoses. Data were recorded retrospectively from the physicians' protocols as well as from the hospital administration system and compared. Also, all diagnostic misconcordance were analysed and reviewed in terms of logical content by two experts. There were no significant differences between the groups in terms of demographic data, such as age and gender, as well as regarding the hospital length of stay and mortality. There was no significant difference between the diagnostic concordance of the systems, except the diagnosis "epileptic seizure". Instead, in these cases, "stroke" was the most frequently chosen diagnosis. The diagnostic misconcordance "stroke" is not associated with any risks to patients' safety. Reasons for diagnostic misconcordance could be the short contact time to the patient during the teleconsultation, the lack of personal examination of the patient by the tele-EMS physician, and reversible symptoms that can mask the correct diagnosis.Entities:
Mesh:
Year: 2020 PMID: 33093557 PMCID: PMC7581718 DOI: 10.1038/s41598-020-75149-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic data.
| Tele-EMS physician (n = 584) | On-site-EMS physician (n = 634) | p value | |
|---|---|---|---|
| Age (in years) | 64.6 (SD ± 19.9) | 64.2 (SD ± 20.2) | 0.712 |
| Female | 293 (50.2%) | 301 (47.5%) | 0.359 |
| Male | 291 (49.8%) | 333 (52.5%) | 0.359 |
| Time of hospitalisation (in days) | 6.7 (SD ± 12.0) | 6.0 (SD ± 8.6) | 0.195 |
| Hospital mortality (number of patients) | 25 (4.3%) | 25 (3.9%) | 0.775 |
This table shows demographic data as well as the time of hospitalisation and mortality from patients treated by the tele-EMS physician in comparison to patients, treated by the on-site-EMS physician. The probability of a type 1 error below 1% was considered as significant.
Hospital mortality.
| Tele-EMS physician (n = 25) | On-site-EMS physician (n = 25) | p value | |
|---|---|---|---|
| Time of hospitalisation until death (days) | 10.7 (SD ± 11.5) | 9.8 (SD ± 20.6) | 0.848 |
| Patients who died < 24 h | 0 (0%) | 6 (24%) | 0.022 |
| Patients who died without a diagnostic miscordance | 19 (76.0%) | 20 (80.0%) | 1.000 |
| Patients who died with a diagnostic miscordance | 6 (24.0%) | 5 (20.0%) | 1.000 |
| By that < 24 h | 0 (0%) | 2 (0.3%) | 0.490 |
This table shows the overall hospital mortality and the hospital mortality from patients with and without diagnostic miscordances treated initially by the tele-EMS physician in comparison to patients with diagnostic miscordance treated initially by the on-site-EMS physician. The probability of a type 1 error below 1% was considered as significant.
Figure 1Selection of patient collective. This figure shows the in- and exclusion criteria of the patients treated by the tele-EMS physician (left side) and the on-site-EMS physician (right side) as well as the selection of the patient collective.
Figure 2Diagnostic con- and miscordance. This figure shows matches (green bars) and fails (red bars) regarding diagnosis from the tele-EMS physician and the on-site-EMS physician compared with the final hospital diagnosis based on the hospital information system.
Figure 3Misdiagnosed patients with epileptic seizures. This figure shows a comparison between tele-EMS physician and on-site-EMS physician regarding misdiagnosed patients with epileptic seizures.