Critically deviating vital signs among patients with non-specific diagnoses-A register-based historic cohort study

BACKGROUND: One third of ambulance patients receive non-specific diagnoses in hospital. Mortality is 3-4%, however due to the high patient volume this group accounts for 20% of all deaths at day 30. Non-specific diagnoses do not provide much information on causes for death. Vital signs at first contact with ambulance personnel can act as a proxy for the patient's condition. Thus, we aimed to describe the prevalence of abnormal vital signs, as determined by a modified NEWS2, in ambulance patients who received a non-specific hospital diagnosis. Secondly, we examined the association between vital signs, NEWS2 scores, type of non-specific diagnosis, and mortality among these patients.METHODS: Register-based historic cohort study of ambulance patients aged 16+ in the North Denmark Region during 2012-2016, who received a non-specific diagnosis (ICD-10 chapters R or Z) at hospital. We used NEWS2 scores to determine if first vital signs were normal or deviating (including critical). Mortality was estimated with the Kaplan-Meier estimator. Association between vital signs and mortality was evaluated by logistic regression.RESULTS: We included 41,539 patients, 20.9% (N = 8,691) had normal vital signs, 16.3% (N = 6,766) had incomplete vital sign registration, 62.8% (N = 26,082) had deviating vital signs, and of these 6.8% (N = 1,779) were critical. If vital signs were incompletely registered or deviating, mortality was higher compared to normal vital signs. Patients with critical vital signs displayed the highest crude 48-hour and 30-day mortality (7.0% (5.9-8.3) and 13.4% (11.9-15.1)). Adjusting for age, sex, and comorbidity did not change that pattern. Across all vital sign groups, despite severity, the most frequent diagnosis assigned was Z039 observation for suspected disease or condition unspecified.CONCLUSIONS: Most ambulance patients with non-specific diagnoses had normal or non-critical deviating vital signs and low mortality. Around 4% had critical vital signs and high mortality, not explained by age or comorbidity.</p

Diagnoses and mortality among prehospital emergency patients calling 112 with unclear problems:a population-based cohort study from Denmark

BACKGROUND: Patients calling for an emergency ambulance and assessed as presenting with ‘unclear problem’ account for a considerable part of all emergency calls. Previous studies have demonstrated that these patients are at increased risk for unfavourable outcomes. A deeper insight into the underlying diagnoses and outcomes is essential to improve prehospital treatment. We aimed to investigate which of these diagnoses contributed most to the total burden of diseases in terms of numbers of deaths together with 1- and 30-day mortality. METHODS: A historic regional population-based observational cohort study from the years 2016 to 2018. Diagnoses were classified according to the World Health Organisation ICD-10 System (International Statistical Classification of Diseases and Related Health Problems, 10th edition). The ICD-10 chapters, R (‘symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified)’ and Z (‘factors influencing health status and contact with health services”) were combined and designated “non-specific diagnoses”. Poisson regression with robust variance estimation was used to estimate proportions of mortality in percentages with 95% confidence intervals, crude and adjusted for age, sex and comorbidities. RESULTS: Diagnoses were widespread among the ICD-10 chapters, and the most were ‘non-specific diagnoses’ (40.4%), ‘circulatory diseases’ (9.6%), ‘injuries and poisonings’ (9.4%) and ‘respiratory diseases’ (6.9%). The diagnoses contributing most to the total burden of deaths (n = 554) within 30 days were ‘circulatory diseases’ (n = 148, 26%) followed by ‘non-specific diagnoses’ (n = 88, 16%) ‘respiratory diseases’ (n = 85, 15%), ‘infections’ (n = 54, 10%) and ‘digestive disease’ (n = 39, 7%). Overall mortality was 2.3% (1-day) and 7.1% (30-days). The risk of mortality was highly associated with age. CONCLUSION: This study found that almost half of the patients brought to the hospital after calling 112 with an ‘unclear problem’ were discharged with a ‘non-specific diagnosis’ which might seem trivial but should be explored more as these contributed the second-highest to the total number of deaths after 30 days only exceeded by ‘circulatory diseases’. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13049-022-01052-y

Understanding the Effect of Electronic Prehospital Medical Records in Ambulances:A Qualitative Observational Study in a Prehospital Setting

Little is known of ambulance professionals’ work practices regarding the use of medical records, their communication with patients, before and during hand over to Emergency Departments (ED). An electronic Prehospital Medical Record (ePMR) has been implemented in all Danish ambulances since 2015. Our aim was to investigate the use of ePMR and whether it affected the ambulance professionals’ clinical practice. We performed a qualitative study with observations of ePMR use in ambulance runs in the North Denmark Region. Furthermore, informal interviews with ambulance professionals was performed. Analysis was accomplished with inspiration from grounded theory. Our main findings were: (1) the ePMR is an essential work tool which aided ambulance professionals with overview of data collection and facilitated a checklist for ED hand overs, (2) mobility and flexibility of the ePMR facilitated conversations and relations with the patients, and (3) in acute severe situations, the ePMR could not stand alone in hand over or communication with the ED. The ePMR affected the ambulance professionals’ work practice in various ways and utilization of ePMR while simultaneously treating patients in ambulances does not obstruct the relation with the patient. To this end, the ePMR appears feasible in collaboration across the prehospital setting

Akutte tilstande har forskellig prestige blandt medicinstuderende

Ledere har intet resum