Evaluation of the impact of the COVID-19 lockdown on the quality of life of patients monitored for cancer who practice an adapted physical activity: rugby for health.

PURPOSE: The benefits of regular physical exercise on the tolerability of cancer treatments, quality of life and survival rates post-diagnosis have been demonstrated but all supervised physical activities have been interrupted due to the global health crisis and the need for lockdown to halt the spread of SARS-CoV-2. To reintroduce activities post-lockdown, we wanted to assess the impact of the COVID-19 lockdown on the quality of life and the psychological status of patients who practice an adapted physical activity such as rugby for health. METHODS: The evaluation was conducted in two phases: an initial self-questionnaire comprised of 42 questions sent to all participants to assess the impact of lockdown and a second assessment phase in the presence of the participants. We assessed anthropometric data, functional fitness parameters, quality of life and the psychosocial status of the subjects. The data were compared to pre-lockdown data as part of a standardised follow-up procedure for patients enrolled in the programme. RESULTS: 105/120 (87.5%) individuals responded to the rapid post-lockdown survey analysis. In 20% of the cases, the patients reported anxiety, pain, a decline in fitness and a significant impact on the tolerability of cancer treatments. Twenty-seven patients agreed to participate in the individual analysis. Following lockdown, there was a significant decrease in the intensity of physical activity (p = 8.223e-05). No post-lockdown changes were noted in the assessments that focus on the quality of life and the level of psychological distress. Conversely, there was a significant correlation between the total of high energy expended during lockdown and the quality of life (p = 0.03; rho = 0.2248) and the level of psychological distress post-lockdown (p = 0.05; rho = - 0.3772). CONCLUSION: Lockdown and reduced physical activity, particularly leisure activities, did not impact the overall health of the patients. However, there was a significant correlation with the level of physical activity since the higher the level of physical activity, the better the quality of life and the lower the level of psychological distress.

Predictive variables of an emergency department quality and performance indicator: a 1-year prospective, observational, cohort study evaluating hospital and emergency census variables and emergency department time interval measurements.

OBJECTIVE: Emergency department (ED) crowding impacts negatively on quality of care. The aim was to determine the association between ED quality and input, throughput and output-associated variables. METHODS: This 1-year, prospective, observational, cohort study determined the daily percentage of patients leaving the ED in <4 h (ED quality and performance indicator; EDQPI). According to the median EDQPI two groups were defined: best-days and bad-days. Hospital and ED variables and time interval metrics were evaluated as predictors. RESULTS: Data were obtained for 67 307 patients over 364 days. Differences were observed between the two groups in unadjusted analysis: number of daily visits, number of patients as a function of final disposition, number boarding in the ED, and time interval metrics including wait time to triage nurse and ED provider, time from ED admission to decision, time from decision to departure and length of stay (LOS) as a function of final disposition. Five variables remained significant predictors for bad-days in multivariate analysis: wait time to triage nurse (OR 2.36; 95% CI 1.36 to 4.11; p=0.002), wait time to ED provider (OR 1.93; 95% CI 1.05 to 3.54; p=0.03), number of patients admitted to hospital (OR 1.86; 95% CI 1.09 to 3.19; p=0.02), LOS of non-admitted patients (OR 9.5; 95% CI 5.17 to 17.48; p<0.000001) and LOS of patients admitted to hospital (OR 2.46; 95% CI 1.44 to 4.2; p=0.0009). CONCLUSIONS: Throughput is the major determinant of EDQPI, notably time interval reflecting the work dynamics of medical and nursing teams and the efficacy of fast-track routes for low-complexity patients. Output also significantly impacted on EDQPI, particularly the capacity to reduce the LOS of admitted patients.