The indirect impact of COVID-19 pandemic on the utilization of the emergency medical services during the first pandemic wave: A system-wide study of Tuscany Region, Italy.

BACKGROUND: Utilization of Emergency Medical Services (EMS) declined during COVID-19 pandemic, but most of the studies analyzed components of the EMS system individually. The study aimed to evaluate the indirect impact of COVID-19 pandemic on the utilization of all the components of the EMS system of Tuscany Region (Italy) during the first pandemic wave. METHODS: Administrative data from the health care system of Tuscany were used. Changes in utilization for out-of-hospital emergency calls and emergency vehicle dispatched, emergency department (ED) visits, and patients being admitted from the ED to an inpatient hospital bed (hospitalizations from ED) during the first pandemic wave were analyzed in relation with corresponding periods of the previous two years. Percentage changes and 95%CI were calculated with Poisson models. Standardized Ratios were calculated to evaluate changes in in-hospital mortality and hospitalizations requiring ICU. RESULTS: Significant declines were observed in the utilization of all the EMS considered starting from the week in which the first case of COVID-19 was diagnosed in Italy till the end of the first pandemic wave. During the epidemic peak, the maximum decreases were observed: -33% for the emergency calls, -45% for the dispatch of emergency vehicles, -71% for ED admissions. Furthermore, a decline of 37% for hospitalizations from ED was recorded. Significant decreases in ED admissions for life threatening medical conditions were observed: acute cerebrovascular disease (-36%, 95% CI: -43, -29), acute myocardial infarction (-42%, 95% CI: -52, -31) and renal failure (-42%, 95% CI: -52, -31). No significant differences were found between the observed and the expected in-hospital mortality and hospitalizations requiring ICU during the epidemic peak. CONCLUSION: All the components of the EMS showed large declines in their utilization during COVID-19 pandemic; furthermore, major reductions were observed for admissions for time-dependent and life-threatening conditions. Efforts should be made to ensure access to safe and high-quality emergency care during pandemic.

Delayed presentation of children to the emergency department during the first wave of COVID-19 pandemic in Italy: Area-based cohort study.

AIM: To ascertain a delay in attendances to the emergency department (ED) during 2020 lockdown. METHODS: Area-based cohort study on paediatric (0-15 years) attendances resulting in hospital admission in Tuscany, Italy, in February-May 2020, and the corresponding periods in 2018-19. We analysed times from symptom onset to arrival, the odds of arriving late (>90th centile of time) and paediatricians' judgements of a late presentation by logistic models. RESULTS: As expected, ED attendance fell sharply (-62%) in 2020 vs 2018-19. As for cases studied (455 in 2020 and 1161 in 2018-19), we documented a delay in arrival to the ED in 2020 versus 2018-19 for several groups of diagnoses, namely gastroenteritis, sepsis, wounds, burns and infections overall. Time to presentation over 90th centile was also higher in 2020 (odds ratio, OR: 1.44; 95% confidence interval: 1.00, 2.06), as were paediatricians' judgements of a late arrival (18.9% of cases in 2020 vs. 13.4% in 2018-19; OR: 1.58; 1.14, 2.19) CONCLUSION: In a population-based cohort, delayed attendances to ED ascertained both subjectively and objectively convey the message to families and to paediatricians to seek hospital care in case of severe or unremitting symptoms and not to wait longer than they normally would.

Administrative data underestimate acute ischemic stroke events and thrombolysis treatments: Data from a multicenter validation survey in Italy.

BACKGROUND: Informing health systems and monitoring hospital performances using administrative data sets, mainly hospital discharge data coded according to International-Classification-Diseases-9edition-Clinical-Modifiers (ICD9-CM), is now commonplace in several countries, but the reliability of diagnostic coding of acute ischemic stroke in the routine practice is uncertain. This study aimed at estimating accuracy of ICD9-CM codes for the identification of acute ischemic stroke and the use of thrombolysis treatment comparing hospital discharge data with medical record review in all the six hospitals of the Florence Area, Italy, through 2015. METHODS: We reviewed the medical records of all the 3915 potential acute stroke events during 2015 across the six hospitals of the Florence Area, Italy. We then estimated sensitivity and Positive Predictive Value of ICD9-CM code-groups 433*1, 434*1 and thrombolysis code 99.10 against medical record review with clinical adjudication. For each false-positive case we obtained the actual diagnosis. For each false-negative case we obtained the primary and secondary ICD9-CM diagnoses. RESULTS: The medical record review identified 1273 acute ischemic stroke events. The hospital discharge records identified 898 among those (true-positive cases),but missed 375 events (false-negative cases), and identified 104 events that were not eventually confirmed as acute ischemic events (false-positive cases). Code-group specific Positive Predictive Value was 85.7% (95%CI,74.6-93.3) for 433*1 and 89.9% (95%CI, 87.8-91.7) for 434*1 codes. Thrombolysis treatment, as identified by ICD9-CM code 99.10, was only documented in 6.0% of acute ischemic stroke events, but was 13.6% in medical record review. CONCLUSIONS: Hospital discharge data were found to be fairly specific but insensitive in the reporting of acute ischemic stroke and thrombolysis, providing misleading indications about both quantity and quality of acute ischemic stroke hospital care. Efforts to improve coding accuracy should precede the use of hospital discharge data to measure hospital performances in acute ischemic stroke care.

Short-term adjusted outcomes for heart failure.

PURPOSE: Heart failure (HF) is recognized as a major problem in industrialized countries. Short-term adjusted outcomes are indicators of quality for care process during/after hospitalization. Our aim is to evaluate, for patients with principal diagnosis of HF, in-hospital mortality and 30-day readmissions for all-causes using two different risk adjustment (RA) tools. METHODS AND RESULTS: We used data from the hospital discharge abstract (HD) of a retrospective cohort of patients (2002-2007) admitted in Tuscan hospitals, Italy. Considered outcomes were in-hospital mortality and readmission at 30 days. We compared the All-Patients Refined Diagnosis Related Groups (APR-DRG) system and the Elixhauser Index (EI). Logistic regression was performed and models were compared using the C statistic (C). examined records were 58.202. Crude in-hospital mortality was 9.7%. Thirty-day readmission was 5.1%. The APR-DRG class of risk of death (ROD) was a predictive factor for in-hospital mortality; the APR-DRG class of severity was not significantly associated with 30-day readmissions (P>0.05). EI comorbidities which were more strongly associated with outcomes were nonmetastatic cancer for in-hospital mortality (odds ratio, OR 2.25, P<0.001), uncomplicated and complicated diabetes for 30-day hospital readmissions (OR 1.20 and 1.34, P<0.001). The discriminative abilities for in-hospital mortality were sufficient for both models (C 0.67 for EI, C 0.72 for APR-DRG) while they were low for 30-day readmissions rate (C 0.53 and 0.52). CONCLUSIONS: Age, gender, APR-DRG ROD and some Elixhauser comorbidities are predictive factors of outcomes; only the APR-DRG showed an acceptable ability to predict hospital mortality while none of them was satisfactory in predicting the readmissions within 30 days.