BackgroundPre-hospital emergency care requires proper categorization of emergency calls and assessment of emergency priority levels by the medical dispatchers. We investigated predictors for emergency call categorization as “unclear problem” in contrast to “symptom-specific” categories and the effect of categorization on mortality.MethodsRegister-based study in a 2-year period based on emergency call data from the emergency medical dispatch center in Copenhagen combined with nationwide register data. Logistic regression analysis (N = 78,040 individuals) was used for identification of predictors of emergency call categorization as “unclear problem”. Poisson regression analysis (N = 97,293 calls) was used for examining the effect of categorization as “unclear problem” on mortality.Results“Unclear problem” was the registered category in 18% of calls. Significant predictors for “unclear problem” categorization were: age (odds ratio (OR) 1.34 for age group 76+ versus 18–30 years), ethnicity (OR 1.27 for non-Danish vs. Danish), day of week (OR 0.92 for weekend vs. weekday), and time of day (OR 0.79 for night vs. day). Emergency call categorization had no effect on mortality for emergency priority level A calls, incidence rate ratio (IRR) 0.99 (95% confidence interval (CI) 0.90–1.09). For emergency priority level B calls, an association was observed, IRR 1.26 (95% CI 1.18–1.36).DiscussionsThe results shed light on the complexity of emergency call handling, but also implicate a need for further improvement. Educational interventions at the dispatch centers may improve the call handling, but also the underlying supportive tools are modifiable. The higher mortality rate for patients with emergency priority level B calls with “unclear problem categorization” could imply lowering the threshold for dispatching a high level ambulance response when the call is considered unclear. On the other hand a “benefit of the doubt” approach could hinder the adequate response to other patients in need for an ambulance as there is an increasing demand and limited resources for ambulance services.ConclusionsAge, ethnicity, day of week and time of day were significant predictors of emergency call categorization as “unclear problem”. “Unclear problem” categorization was not associated with mortality for emergency priority level A calls, but a higher mortality was observed for emergency priority level B calls.

AMI is geographically unequally distributed throughout Denmark and determinants of these geographical patterns might include individual- and neighborhood-level sociodemographic factors.

ObjectiveThis study examined whether geographical patterns in incident acute myocardial infarction (AMI) were explained by neighbourhood-level and individual-level sociodemographic characteristics.DesignAn open cohort study design of AMI-free adults (age ≥30 years) with a residential location in Denmark in 2005–2014 was used based on nationwide administrative population and health register data linked by the unique personal identification number. Poisson regression of AMI incidence rates (IRs) with a geographical random effect component was performed using a Bayesian approach. The analysis included neighbourhood-level variables on income, ethnic composition, population density and population turnover and accounted for individual-level age, sex, calendar year, cohabitation status, income and education.SettingResidents in Denmark (2005–2014).ParticipantsThe study population included 4 128 079 persons (33 907 796 person-years at risk) out of whom 98 265 experienced an incident AMI.Outcome measureIncident AMI registered in the National Patient Register or the Register of Causes of Death.ResultsIncluding individual and neighbourhood sociodemographic characteristics in the model decreased the variation in IRs of AMI. However, living in certain areas was associated with up to 40% increased IRs of AMI in the adjusted model and accounting for sociodemographic characteristics only moderately changed the geographical disease patterns.ConclusionsDifferences in sociodemographic characteristics of the neighbourhood and individuals explained part, but not all of the geographical inequalities in incident AMI. Prevention strategies should address the confirmed social inequalities in incident AMI, but also target the areas with a heavy disease burden to enable efficient allocation of prevention resources.

Aims This study described the interplay between geographical and social inequalities in survival after incident acute myocardial infarction (AMI) and examined whether geographical variation in survival exists when accounting for sociodemographic characteristics of the patients and their neighbourhood. Methods Ringmap visualization and generalized linear models were performed to study post-AMI mortality. Three individual-level analyses were conducted: immediate case fatality, mortality between days 1 and 28 after admission and 365-day survival among patients who survived 28 days after admission. Results In total, 99,013 incident AMI cases were registered between 2005 and 2014 in Denmark. Survival after AMI tended to correlate with sociodemographic indicators at the municipality level. In individual-level models, geographical inequality in immediate case fatality was observed with high mortality in northern parts of Jutland after accounting for sociodemographic characteristics. In contrast, no geographical variation in survival was observed among patients who survived 28 days. In all three analyses, odds and rates of mortality were higher among patients with low educational level (odds ratio (OR) (95% credible intervals) of 1.20 (1.12–1.29), OR of 1.12 (1.01–1.24) and mortality rate ratio of 1.45 (1.30–1.61)) and low income (OR of 1.24 (1.15–1.33), OR of 1.33 (1.20–1.48) and mortality rate ratio of 1.25 (1.13–1.38)). Conclusion Marked geographical inequality was observed in immediate case fatality. However, no geographically unequal distribution of survival was found among patients who survived 28 days after AMI. Results additionally showed social inequality in survival following AMI.

Background Psychiatric comorbidity might modify the disease course adversely in patients with inflammatory bowel disease (IBD). Treatment options include antidepressants, which, apart from improving mood, have anti-inflammatory properties that might modify the disease course. This nationwide study aimed to examine the influence of antidepressants on the disease course among patients with ulcerative colitis (UC) and Crohn’s disease (CD). Methods Patients registered with an incident diagnosis of CD or UC in the Danish National Patient Register (2000–2017) were included. Information on antidepressant use and proxy measures of disease activity (health care and drug utilization) was extracted from national population registers. Poisson regression was performed to estimate disease activity rates by antidepressant use adjusted for confounders. Furthermore, the analyses were performed stratified by IBD subtype and type of antidepressants. Results A total of 42,890 patients were included (UC: 69.5%; CD: 30.5%). When adjusted for confounders, a lower incidence rate of disease activity was found among antidepressant users compared with nonusers in both CD (incidence rate ratio [IRR], 0.75; 95% confidence interval [CI], 0.68–0.82) and UC (IRR, 0.90; 95% CI, 0.84–0.95) patients. Further, markedly lower rates of disease activity were found among CD (IRR, 0.51; 95% CI, 0.43–0.62) and UC (IRR, 0.67; 95% CI, 0.59–0.75) patients with no use of antidepressants before IBD onset. Conclusions In this nationwide study, antidepressant use was found to be beneficial on the disease course among patients with UC and CD, particularly in patients with no use of antidepressants before IBD onset. Randomized controlled trials are warranted to investigate the potential of antidepressants being an adjunct treatment to conventional IBD therapy.