Rapid implementation of an outpatient arthroplasty care pathway: a COVID-19-driven quality improvement initiative.

BACKGROUND: Hip and knee total joint arthroplasty (TJA) procedures are two of the most common inpatient surgical procedures worldwide. Outpatient TJA has emerged as a feasible option. COVID-19 caused significant constraints on inpatient surgical resources and contributed to a growing surgical backlog. We present a quality improvement (QI) initiative aimed at adding an outpatient TJA pathway to our pre-existing inpatient TJA programme, with the target of performing 25% of our primary TJA as outpatients. METHODS: This was a QI study at a tertiary level arthroplasty centre. To achieve our aim, a patient-centred needs analysis revealed the need to develop patient selection criteria, perform a specific and tailored anaesthetic, provide patient education and conduct virtual care follow-up. Based on these findings, an outpatient TJA intervention bundle was developed and implemented. RESULTS: After implementing the outpatient pathway, 65 patients were scheduled for outpatient TJA. Fifty-five (84.6%) patients were successfully discharged home on the day of surgery. Successful outpatient TJA accounted for 33.3% of all primary TJAs performed at our intuition throughout the study period. There was excellent adherence to the intervention protocols, with the success hinging on multidisciplinary team and supported QI culture. Thirty-day emergency department visits for inpatient and outpatient TJAs were 8.93% and 6.15%, respectively. No outpatient TJA patients required hospital readmission within 30 days. CONCLUSION: Our study demonstrates that implementation of an outpatient TJA pathway in response to inpatient resource constraints during the COVID-19 pandemic is feasible. The findings of this report will be of interest to surgical centres facing surgical backlog and constraints on inpatient resources during and after the pandemic.

Development of a repeated-measures predictive model and clinical risk score for mortality in ventilated COVID-19 patients.

PURPOSE: The COVID-19 pandemic has caused intensive care units (ICUs) to reach capacities requiring triage. A tool to predict mortality risk in ventilated patients with COVID-19 could inform decision-making and resource allocation, and allow population-level comparisons across institutions. METHODS: This retrospective cohort study included all mechanically ventilated adults with COVID-19 admitted to three tertiary care ICUs in Toronto, Ontario, between 1 March 2020 and 15 December 2020. Generalized estimating equations were used to identify variables predictive of mortality. The primary outcome was the probability of death at three-day intervals from the time of ICU admission (day 0), with risk re-calculation every three days to day 15; the final risk calculation estimated the probability of death at day 15 and beyond. A numerical algorithm was developed from the final model coefficients. RESULTS: One hundred twenty-seven patients were eligible for inclusion. Median ICU length of stay was 26.9 (interquartile range, 15.4-52.0) days. Overall mortality was 42%. From day 0 to 15, the variables age, temperature, lactate level, ventilation tidal volume, and vasopressor use significantly predicted mortality. Our final clinical risk score had an area under the receiver-operating characteristics curve of 0.9 (95% confidence interval [CI], 0.8 to 0.9). For every ten-point increase in risk score, the relative increase in the odds of death was approximately 4, with an odds ratio of 4.1 (95% CI, 2.9 to 5.9). CONCLUSION: Our dynamic prediction tool for mortality in ventilated patients with COVID-19 has excellent diagnostic properties. Notwithstanding, external validation is required before widespread implementation.

RéSUMé: OBJECTIF: En raison de la pandémie de COVID-19, les unités de soins intensifs (USI) ont atteint des taux d'occupation nécessitant un triage. Un outil pour prédire le risque de mortalité chez les patients sous ventilation atteints de COVID-19 pourrait éclairer la prise de décision et l'attribution des ressources tout en permettant des comparaisons populationnelles entre les établissements. MéTHODE: Cette étude de cohorte rétrospective a inclus tous les adultes atteints de COVID-19 sous ventilation mécanique admis dans trois USI de centres de soins tertiaires à Toronto, en Ontario, entre le 1er mars 2020 et le 15 décembre 2020. Des équations d'estimation généralisées ont été utilisées pour identifier les variables prédictives de mortalité. Le critère d'évaluation principal était la probabilité de décès à des intervalles de trois jours à partir du moment de l'admission à l'USI (jour 0), avec un nouveau calcul du risque tous les trois jours jusqu'au jour 15; le calcul final du risque a estimé la probabilité de décès au jour 15 et au-delà. Un algorithme numérique a été mis au point à partir des coefficients du modèle final. RéSULTATS: Cent vingt-sept patients étaient éligibles à l'inclusion. La durée médiane de séjour à l'USI était de 26,9 jours (écart interquartile, 15,4 à 52,0). La mortalité globale était de 42 %. Du jour 0 au jour 15, les variables que sont l'âge, la température, les taux de lactate, le volume courant de ventilation et l'utilisation de vasopresseurs ont constitué des prédicteurs significatifs de mortalité. Notre score de risque clinique final avait une aire sous la courbe ROC de 0,9 (intervalle de confiance [IC] à 95 %, 0,8 à 0,9). Pour chaque augmentation de dix points du score de risque, l'augmentation relative des risques de décès était d'environ 4, avec un rapport de cotes de 4,1 (IC 95 %, 2,9 à 5,9). CONCLUSION: Notre outil de prédiction dynamique de la mortalité pour les patients ventilés atteints de COVID-19 possède d'excellentes propriétés diagnostiques. Néanmoins, une validation externe est nécessaire avant sa mise en œuvre généralisée.