Routine Implementation of Patient-Reported Outcomes Assessment Into Thoracic Surgery Practice.

BACKGROUND: Patient-reported outcomes (PROs) assessment is a necessary component of surgical outcome assessment and patient care. This study examined the success of routine PROs assessment in an academic-based thoracic surgery practice. METHODS: PROs, measuring pain intensity, physical function, and dyspnea, were routinely obtained using the National Institutes of Health-sponsored Patient-Reported Outcomes Measurement Information System (PROMIS) on all thoracic surgery patients beginning in April 2018 through January 2021. Questionnaires were administered electronically through a web-based platform at home or during the office visit. Completion rates and barriers were measured. RESULTS: A total of 9725 thoracic surgery office visits occurred during this time frame. PROs data were obtained in 6899 visits from a total of 3551 patients. The mean number of questions answered per survey was 22.4 ± 2.2. Overall questionnaire completion rate was 65.7%. A significant decline in survey completion was noted in April 2020, after which adjustments were made to allow for questionnaire completion through a mobile health platform. Overall monthly questionnaire completion rates ranged from 20% (April 2020) to 90% (October 2018). Mean T scores were dyspnea, 41.6 ± 12.3; physical function, 42.7 ± 10.5; and pain intensity, 52.8 ± 10.3. CONCLUSIONS: PROs can be assessed effectively in a thoracic surgery clinic setting, with minimal disruption of clinical activities. Future efforts should focus on facilitating PROs collection from disadvantaged patient populations and scaling implementation across programs.

The COVID-19 pandemic effect on the prehospital Madrid stroke code metrics and diagnostic accuracy.

BACKGROUND: Only very few studies have investigated the effect of the COVID-19 pandemic on the pre-hospital stroke code protocol. During the first wave, Spain was one of the most affected countries by the SARS-CoV-2 coronavirus disease pandemic. This health catastrophe overshadowed other pathologies, such as acute stroke, the leading cause of death among women and the leading cause of disability among adults. Any interference in the stroke code protocol can delay the administration of reperfusion treatment for acute ischemic strokes, leading to a worse patient prognosis. We aimed to compare the performance of the stroke code during the first wave of the pandemic with the same period of the previous year. METHODS: This was a multicentre interrupted time-series observational study of the cohort of stroke codes of SUMMA 112 and of the ten hospitals with a stroke unit in the Community of Madrid. We established two groups according to the date on which they were attended: the first during the dates with the highest daily cumulative incidence of the first wave of the COVID-19 (from February 27 to June 15, 2020), and the second, the same period of the previous year (from February 27 to June 15, 2019). To assess the performance of the stroke code, we compared each of the pre-hospital emergency service time periods, the diagnostic accuracy (proportion of stroke codes with a final diagnosis of acute stroke out of the total), the proportion of patients treated with reperfusion therapies, and the in-hospital mortality. RESULTS: SUMMA 112 activated the stroke code in 966 patients (514 in the pre-pandemic group and 452 pandemic). The call management time increased by 9% (95% CI: -0.11; 0.91; p value = 0.02), and the time on scene increased by 12% (95% CI: 2.49; 5.93; p value = <0.01). Diagnostic accuracy, and the proportion of patients treated with reperfusion therapies remained stable. In-hospital mortality decreased by 4% (p = 0.05). CONCLUSIONS: During the first wave, a prolongation of the time "on the scene" of the management of the 112 calls, and of the hospital admission was observed. Prehospital diagnostic accuracy and the proportion of patients treated at the hospital level with intravenous thrombolysis or mechanical thrombectomy were not altered with respect to the previous year, showing the resilience of the stroke network and the emergency medical service.

DID THE STROKE CODE IN MADRID JAM DURING THE FIRST WAVE OF COVID-19?

Background and aims: Madrid was one of the epicentres of the COVID-19 pandemic in Spain. The entire healthcare system was severely affected by the first wave of the pandemic. We aimed to assess the extent to which the acute stroke care chain was impacted. Methods: Using the stroke code (SC) cohort of SUMMA 112 (the main emergency medical service in the region), we compared all patients in the first wave of the pandemic and in the same period of the previous year. Subsequently, we collected all anonymized records from the main hospital administrative database (minimum basic data set at hospital discharge). We used ambulance response times, concordance between pre-hospital and hospital diagnosis, hospital times, and mortality to evaluate the SC protocol. The study was approved by the Ethics Committee of the Community of Madrid. Results: 966 SC were analysed (514 pre-pandemic and 452 during the first wave). Pre-hospital attention times were longer (39 vs. 35 minutes), patients stayed longer in the emergency room before admission (7.5 vs. 6.1 hours), the concordance between pre-hospital and in-hospital diagnostic suspicion did not change significantly (86% vs. 89%) and mortality decreased (9% vs 13%) during the first wave of the pandemic Conclusions: During the first wave of the pandemic, there were delays in care, especially in the on-scene time. Improvements in training might have prevented it. The high qualification of pre-hospital teams enabled them to maintain their diagnostic accuracy. The reduction in mortality needs further exploration.