Operations management on the front line of COVID-19 vaccination: building capability at scale via technology-enhanced learning.

The globe is gripped by the COVID-19 pandemic. Mass population vaccination is seen as the solution. As vaccines become available, governments aim to deploy them as rapidly as possible. It is important, therefore, that the efficiency of vaccination processes is optimal.Operations management is concerned with improving processes and comprises systematic approaches such as Lean. Lean focuses explicitly on process efficiency through the elimination of non-value adding steps to optimise processes for those who use and depend on them.Technology-enhanced learning can be a strategy to build improvement capability at scale. A massive online programme to build capability in Lean has been developed by the regulator of England's National Health Service. Beta testing of this programme has been used by some test sites to refine their COVID-19 vaccination processes. The paper presents a case example of massive online learning supporting the use of Lean in the day-to-day operations management of COVID-19 vaccine processes.The case example illustrates the challenges that vaccination processes may present and the need for responsive and effective operations management. Building capability to respond rapidly and systematically in dynamic situations to optimise flow, safety and patient experience may be beneficial.Given the national imperative to achieve mass vaccination as rapidly as possible, systematic improvement methods such as Lean may have a contribution to make. Massive online programmes, such as that described here, may help with this effort by achieving timely knowledge transfer at large scale.

Predicting endoscopic activity recovery in England after COVID-19: a national analysis.

BACKGROUND: The COVID-19 pandemic has led to a substantial reduction in gastrointestinal endoscopies, creating a backlog of procedures. We aimed to quantify this backlog nationally for England and assess how various interventions might mitigate the backlog. METHODS: We did a national analysis of data for colonoscopies, flexible sigmoidoscopies, and gastroscopies from National Health Service (NHS) trusts in NHS England's Monthly Diagnostic Waiting Times and Activity dataset. Trusts were excluded if monthly data were incomplete. To estimate the potential backlog, we used linear logistic regression to project the cumulative deficit between actual procedures performed and expected procedures, based on historical pre-pandemic trends. We then made further estimations of the change to the backlog under three scenarios: recovery to a set level of capacity, ranging from 90% to 130%; further disruption to activity (eg, second pandemic wave); or introduction of faecal immunochemical testing (FIT) triaging. FINDINGS: We included data from Jan 1, 2018, to Oct 31, 2020, from 125 NHS trusts. 10 476 endoscopy procedures were done in April, 2020, representing 9·5% of those done in April, 2019 (n=110 584), before recovering to 105 716 by October, 2020 (84·5% of those done in October, 2019 [n=125 072]). Recovering to 100% capacity on the current trajectory would lead to a projected backlog of 162 735 (95% CI 143 775-181 695) colonoscopies, 119 025 (107 398-130 651) flexible sigmoidoscopies, and 194 087 (172 564-215 611) gastroscopies in January, 2021, attributable to the pandemic. Increasing capacity to 130% would still take up to June, 2022, to eliminate the backlog. A further 2-month interruption would add an extra 15·4%, a 4-month interruption would add an extra 43·8%, and a 6-month interruption would add an extra 82·5% to the potential backlog. FIT triaging of cases that are found to have greater than 10 µg haemoglobin per g would reduce colonoscopy referrals to around 75% of usual levels, with the backlog cleared in early 2022. INTERPRETATION: Our work highlights the impact of the pandemic on endoscopy services nationally. Even with mitigation measures, it could take much longer than a year to eliminate the pandemic-related backlog. Urgent action is required by key stakeholders (ie, individual NHS trusts, Clinical Commissioning Groups, British Society of Gastroenterology, and NHS England) to tackle the backlog and prevent delays to patient management. FUNDING: Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) at University College London, National Institute for Health Research University College London Hospitals Biomedical Research Centre, and DATA-CAN, Health Data Research UK.

Stability of SARS-CoV-2 RNA in Nonsupplemented Saliva.

The expense of saliva collection devices designed to stabilize severe acute respiratory syndrome coronavirus 2 RNA is prohibitive to mass testing. However, virus RNA in nonsupplemented saliva is stable for extended periods and at elevated temperatures. Simple plastic tubes for saliva collection will make large-scale testing and continued surveillance easier.

Increased SARS-CoV-2 Testing Capacity with Pooled Saliva Samples.

We analyzed feasibility of pooling saliva samples for severe acute respiratory syndrome coronavirus 2 testing and found that sensitivity decreased according to pool size: 5 samples/pool, 7.4% reduction; 10 samples/pool, 11.1%; and 20 samples/pool, 14.8%. When virus prevalence is >2.6%, pools of 5 require fewer tests; when <0.6%, pools of 20 support screening strategies.

US Hospital Capacity Managers' Experiences and Concerns Regarding Preparedness for Seasonal Influenza and Influenza-like Illness.

Importance: The 2017-2018 influenza season in the US was marked by a high severity of illness, wide geographic spread, and prolonged duration compared with recent previous seasons, resulting in increased strain throughout acute care hospital systems. Objective: To characterize self-reported experiences and views of hospital capacity managers regarding the 2017-2018 influenza season in the US. Design, Setting, and Participants: In this qualitative study, semistructured telephone interviews were conducted between April 2018 and January 2019 with a random sample of capacity management administrators responsible for throughput and hospital capacity at short-term, acute care hospitals throughout the US. Main Outcomes and Measures: Each participant's self-reported experiences and views regarding high patient volumes during the 2017-2018 influenza season, lessons learned, and the extent of hospitals' preparedness planning for future pandemic events. Interviews were recorded and transcribed and then analyzed using thematic content analysis. Outcomes included themes and subthemes. Results: A total of 53 key hospital capacity personnel at 53 hospitals throughout the US were interviewed; 39 (73.6%) were women, 48 (90.6%) had a nursing background, and 29 (54.7%) had been in the occupational role for more than 4 years. Participants' experiences were categorized into several domains: (1) perception of strain, (2) effects of influenza and influenza-like illness on staff and patient care, (3) immediate staffing and capacity responses to influenza and influenza-like illness, and (4) future staffing and capacity preparedness for influenza and influenza-like illness. Participants reported experiencing perceived strain associated with concerns about preparedness for seasonal influenza and influenza-like illness as well as concerns about staffing, patient care, and capacity, but future pandemic planning within hospitals was not reported as being a high priority. Conclusions and Relevance: The findings of this qualitative study suggest that during the 2017-2018 influenza season, there were systemic vulnerabilities as well as a lack of hospital preparedness planning for future pandemics at US hospitals. These issues should be addressed given the current coronavirus disease 2019 pandemic.

Enhancing Nursing Capacity to Provide Patient Care in a Pandemic.

At the onset of the COVID-19 pandemic, an immediate priority for nurse leaders was to develop a care delivery plan to address anticipated surges in patient volumes and potential staff shortages. This article describes actions taken to enhance patient care capacity. Strategies included reviewing the competencies of nurses and other health professionals, mapping out redeployment pathways, preparing nurses and other health professionals for redeployment as needed and creating a collaborative care team model. This article includes an in-depth focus on the design, implementation and outcomes of an innovative role for fourth-year nursing students in the collaborative care team model.

Building Capacity for Integrated Occupational Safety, Health, and Well-Being Initiatives Using Guidelines for Total Worker Health® Approaches.

OBJECTIVES: To describe the process used to build capacity for wider dissemination of a Total Worker Health® (TWH) model using the infrastructure of a health and well-being vendor organization. METHODS: A multiple-case study mixed-methods design was used to learn from a year-long investigation of the experiences by participating organizations. RESULTS: Increased capacity for TWH solutions was observed as evidenced by the participation, plans of action, and experience ratings of the participating organizations. The planning process was feasible and acceptable, although the challenges of dealing with the COVID-19 pandemic only afforded two of the three worksites to deliver a comprehensive written action plan. CONCLUSIONS: A suite of services including guidelines, trainings, and technical assistance is feasible to support planning, acceptable to the companies that participated, and supports employers in applying the TWH knowledge base into practice.

A bivariate prediction approach for adapting the health care system response to the spread of COVID-19.

The spread of COVID-19 implied a large and fast increase of demand for intensive care services. To face this increase in demand, health care systems need to adapt their response by increasing hospital beds, intensive care unit (ICU) capacity and by (re-)deploying doctors and other personnel. This paper proposes a forecast approach based on the Vector Error Correction model for the daily counts of hospitalized patients with symptoms and of patients in ICU, using publicly available data on the current COVID-19 outbreak in Italy, Switzerland and Spain. The level of analysis is the local government managing the health care system response, which corresponds to regions for Italy. The one-week-ahead forecasts are validated with out-of-sample data over successive weeks; they are found to provide timely and robust prediction of ICU capacity needs in Lombardy, the most-affected Italian region, starting from the sample of the first 2 weeks of data. The same methodology is successfully validated on other Italian regions, Switzerland and Spain. This approach may be used in other countries/regions/provinces to help adapt the health care system response to COVID-19 (or other similar disease); for this purpose, the open-source software code to produce the forecasts is provided with the paper.

Harnessing the Power of Hospitalists in Operational Disaster Planning: COVID-19.

Hospitalists are well poised to serve in key leadership roles and in frontline care in particular when facing a pandemic such as the SARS-CoV-2 (COVID-19) infection. Much of the disaster planning in hospitals around the country addresses overcrowded emergency departments and decompressing these locations; however, in the case of COVID-19, intensive care units, emergency departments, and medical wards ran the risk of being overwhelmed by a large influx of patients needing high-level medical care. In a matter of days, our Division of Hospital Medicine, in partnership with our hospital, health system, and academic institution, was able to modify and deploy existing disaster plans to quickly care for an influx of medically complex patients. We describe a scaled approach to managing hospitalist clinical operations during the COVID-19 pandemic.

Building Telemedicine Capacity for Trainees During the Novel Coronavirus Outbreak: a Case Study and Lessons Learned.

INTRODUCTION: Hospital and ambulatory care systems are rapidly building their virtual care capacity in response to the novel coronavirus (COVID-19) pandemic. The use of resident trainees in telemedicine is one area of potential development and expansion. To date, however, training opportunities in this field have been limited, and residents may not be adequately prepared to provide high-quality telemedicine care. AIM: This study evaluates the impact of an adapted telemedicine Objective Structured Clinical Examination (OSCE) on telemedicine-specific training competencies of residents. SETTING: Primary Care Internal Medicine residents at a large urban academic hospital. PROGRAM DESCRIPTION: In March 2020, the New York University Grossman School of Medicine Primary Care program adapted its annual comprehensive OSCE to a telemedicine-based platform, to comply with distance learning and social distancing policies during the COVID-19 pandemic. A previously deployed in-person OSCE on the subject of a medical error was adapted to a telemedicine environment and deployed to 23 primary care residents. Both case-specific and core learning competencies were assessed, and additional observations were conducted on the impact of the telemedicine context on the encounter. PROGRAM EVALUATION: Three areas of telemedicine competency need were identified in the OSCE case: technical proficiency; virtual information gathering, including history, collateral information collection, and physical exam; and interpersonal communication skills, both verbal and nonverbal. Residents expressed enthusiasm for telemedicine training, but had concerns about their preparedness for telemedicine practice and the need for further competency and curricular development. DISCUSSION: Programs interested in building capacity among residents to perform telemedicine, particularly during the COVID-19 pandemic, can make significant impact in their trainees' comfort and preparedness by addressing key issues in technical proficiency, history and exam skills, and communication. Further research and curricular development in digital professionalism and digital empathy for trainees may also be beneficial.