Operationalizing integrated needs-based workforce planning at Nova Scotia Health in response to the COVID-19 pandemic.

This paper documents Nova Scotia Health's progress in operationalizing integrated needs-based workforce planning as part of its ongoing response to the pandemic. A multidisciplinary workforce planning team with representation spanning key portfolios was created to facilitate the organization's response to the pandemic. Analyses applied early in Wave 3 of the pandemic showed large projected shortages in several professions and identified which services would likely be scarcest among the available workforce relative to patient need. Based on these results, the workforce planning team recommended and supported operational teams in implementing a multi-faceted set of interventions aimed at increasing the availability of individuals with these competencies. These interventions collectively yielded an adequate supply of additional competent personnel to meet the needs of COVID-19 inpatients across the province through the third wave of the pandemic. Lessons learned are proving critical to maintaining core operations during Wave 4 of the pandemic.

The Prevalence and Characteristics of Non-Transports in a Provincial Emergency Medical Services System: A Population-Based Study.

BACKGROUND: Emergency Medical Services (EMS) provide patients with out-of-hospital care, but not all patients are transported to the hospital. Non-transport represents an often undefined yet potentially significant risk for poor clinical outcomes. Few North American studies have quantified this risk. OBJECTIVE: The objectives of this study were to determine the prevalence of non-transport and 48-h adverse event (composite of relapse responses that resulted in transport or death) and to identify characteristics associated with either outcome. METHODS: An analysis of pooled cross-sectional, population-based administrative data from the provincial EMS electronic charting system in 2014 was conducted. Determination of non-transport was based on recorded call outcome. The data were searched by patient identifiers to determine the 48-h adverse event rate. Paramedic-documented patient, operational, and environmental characteristics were included in the logistic regression models. RESULTS: Of 74,293 emergency responses, 14,072 (18.9%) were non-transport and, of those, 798 (5.6%) resulted in a 48-h adverse event. The characteristics statistically significantly and independently associated with non-transport and 48-h adverse event were younger age (odds ratio [OR] 1.72; 99.9% confidence interval [CI] 1.46-2.02), nonspecific paramedic clinical impression (OR 5; 99.9% CI 4.48-5.57), more than 7 comorbidities (OR 0.47; 99.9% CI 0.42-0.53), and incident location (jail) (OR 2.88; 99.9% CI 2.22-3.74). CONCLUSIONS: This study provides an estimate of prevalence of non-transports and 48-h adverse event in a provincial mixed rural-urban EMS system. The results of this study describe the scope of non-transport and present several characteristics associated with non-transport. Future study should examine the appropriateness of EMS responses and methods to mitigate risk of adverse event after non-transport.

Gerontology across the professions and the Atlantic: Students' reflective views and voices.

Health professions students need to have increasing exposure to interprofessional and international experience in developing the knowledge and skills needed to work with older adults. As students, the authors explore in this article the significant elements of our learning that took place in a blended Gerontology Across the Professions and the Atlantic course for participants from the United States, Canada, and Norway. These factors focus on the following aspects of this course: (1) weekly online topic discussions and learning experiences, (2) group case studies and presentations, (3) international perspectives, (4) interprofessional perspectives, and (5) the final course seminar in Bergen. The authors end their discussion by sharing sidebar stories of their experiences in this course that brought together the powerful, transformative elements of interprofessional and international insights into the challenges of geriatric care in the future.

Offload zones to mitigate emergency medical services (EMS) offload delay in the emergency department: a process map and hazard analysis.

UNLABELLED: Introduction Offload delay is a prolonged interval between ambulance arrival in the emergency department (ED) and transfer of patient care, typically occurring when EDs are crowded. The offload zone (OZ), which manages ambulance patients waiting for an ED bed, has been implemented to mitigate the impact of ED crowding on ambulance availability. Little is known about the safety or efficiency. The study objectives were to process map the OZ and conduct a hazard analysis to identify steps that could compromise patient safety or process efficiency. METHODS: A Health Care Failure Mode and Effect Analysis was conducted. Failure modes (FM) were identified. For each FM, a probability to occur and severity of impact on patient safety and process efficiency was determined, and a hazard score (probability X severity) was calculated. For any hazard score considered high risk, root causes were identified, and mitigations were sought. RESULTS: The OZ consists of six major processes: 1) patient transported by ambulance, 2) arrival to the ED, 3) transfer of patient care, 4) patient assessment in OZ, 5) patient care in OZ, and 6) patient transfer out of OZ; 78 FM were identified, of which 28 (35.9%) were deemed high risk and classified as impact on patient safety (n=7/28, 25.0%), process efficiency (n=10/28, 35.7%), or both (n=11/28, 39.3%). Seventeen mitigations were suggested. CONCLUSION: This process map and hazard analysis is a first step in understanding the safety and efficiency of the OZ. The results from this study will inform current policy and practice, and future work to reduce offload delay.