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Bull Cancer ; 111(5): 452-462, 2024 May.
Article in English | MEDLINE | ID: mdl-38553288

ABSTRACT

OBJECTIVE: In many countries, the first line response to an emergency call is decided by the emergency dispatch center EMS clinician. Our main objective was to compare the pre-hospital response to calls received from cancer and non-cancer patients. We also compared the reasons for calling, for each group. METHODS: We conducted a retrospective cohort study of data collected between January 1, 2016 and December 31, 2020, from emergency dispatch center records of the Isère county, France. Statistical tests were conducted after matching one cancer patient with two non-cancer patients, resulting in a cohort of 44,022 patients. We used multivariate logistic regression to determine the impact of patient cancer status on the medical decision taken in response to the emergency call. RESULTS: Overall, data on 849,110 patients were extracted, including 16,451 patients with a diagnosis of cancer and 29,348 non-cancer patients. In the matched cohort, cancer was associated with a higher odd of having a mobile intensive care unit (MICU) [odds ratio (OR)=2.02 (1.81-2.26), p<0.001] or an ambulance being dispatched to the patient's home or other location [OR=2.36 (2.24-2.48), p<0.001]. The two most frequent medical responses were to send an ambulance (58.6%) and giving advice only (36.8%). The five main reasons for the emergency call for the cancer group were cardiovascular disease symptoms (13.5%), respiratory problems (10.6%), digestive disorders (10.4%), infections (8.9%) and neurological disorders (6.0%). CONCLUSION: An MICU or an ambulance was more often dispatched for cancer patients than for others. Considering that cancer is a very frequent comorbidity in Western countries, knowledge of the patient's cancer status should be sought and taken into consideration when a patient seeks emergency help.


Subject(s)
Neoplasms , Humans , Neoplasms/therapy , Neoplasms/complications , Neoplasms/epidemiology , France/epidemiology , Retrospective Studies , Female , Male , Middle Aged , Aged , Intensive Care Units/statistics & numerical data , Ambulances/statistics & numerical data , Databases, Factual , Emergency Medical Services/statistics & numerical data , Adult , Emergency Medical Dispatch/statistics & numerical data , Mobile Health Units/statistics & numerical data , Logistic Models , Aged, 80 and over , Emergency Medical Dispatcher/statistics & numerical data
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