As coronavirus disease 2019 (COVID-19) spread, efforts were made to preserve resources for the anticipated surge of COVID-19 patients in British Columbia, Canada. However, the relationship between COVID-19 hospitalizations and access to cancer surgery is unclear. In this project, we analyze the impact of COVID-19 patient volumes on wait time for cancer surgery.

We conducted a retrospective study using population-based datasets of regional surgical wait times and COVID-19 patient volumes. Weekly median wait times for urgent, nonurgent, cancer, and noncancer surgeries, and maximum volumes of hospitalized patients with COVID-19 were studied. The results were qualitatively analyzed.

A sustained association between weekly median wait time for priority and other cancer surgeries and increase hospital COVID-19 patient volumes was not qualitatively discernable. In response to the first phase of COVID-19 patient volumes, relative to pre-COVID-19 pandemic levels, wait time were shortened for urgent cancer surgery but increased for nonurgent surgeries. During the second phase, for all diagnostic groups, wait times returned to pre-COVID-19 pandemic levels. During the third phase, wait times for all surgeries increased.

Cancer surgery access may have been influenced by other factors, such as policy directives and local resource issues, independent of hospitalized COVID-19 patient volumes. The initial access limitations gradually improved with provincial and institutional resilience, and vaccine rollout.

This study aimed to identify publicly reported access characteristics for episodic primary care in BC and provided a clinic-level comparison between walk-in clinics and UPCCs.

Walk-in clinics are non-hospital-based primary care facilities that are designed to operate without appointments and provide increased healthcare access with extended hours. Urgent and Primary Care Centres (UPCCs) were introduced to British Columbia (BC) in 2018 as an additional primary care resource that provided urgent, but not emergent care during extended hours.

This cross-sectional study used publicly available data from all walk-in clinics and UPCCs in BC. A structured data collection form was used to record access characteristics from clinic websites, including business hours, weekend availability, attachment to a longitudinal family practice, and provision of virtual services.

In total, 268 clinics were included in the analysis (243 walk-in clinics, 25 UPCCs). Of those, 225 walk-in clinics (92.6%) and two UPCCs (8.0%) were attached to a longitudinal family practice. Only 153 (63%) walk-in clinics offered weekend services, compared to 24 (96%) of UPCCs. Walk-in clinics offered the majority (8,968.6/ 78.4%) of their service hours between 08:00 and 17:00, Monday to Friday. UPCCs offered the majority (889.3/ 53.7%) of their service hours after 17:00.

Most walk-in clinics were associated with a longitudinal family practice and provided the majority of clinic services during typical business hours. More research that includes patient characteristics and care outcomes, analyzed at the clinic level, may be useful to support the optimization of episodic primary healthcare delivery.

The Communication (C), Maintaining Health (M), Independence (I), Services, Support and Self-Determination (S), and Transportation (T) is a framework (C-MIST) for identifying functional needs in an emergency response. A C-MIST documentation tool provides shelter staff with a list of potential client needs and actions to address them. This retrospective review describes the needs and actions indicated on completed C-MIST documentation tools (ie, records) within domestic general population shelters following Hurricane Florence in 2018.

A convenience sample of 1209 records completed by shelter disaster health services personnel was provided by the American Red Cross. The records correspond to client stays in 19 shelters between September and October 2018. Data abstracted from hardcopy forms were de-identified and recorded in a database. Summary statistics were computed.

High incidence needs included medical supplies for everyday care (including medications) not related to mobility (15.4%), medically or culturally needed diets (12.2%), durable medical equipment (9.7%), mental health care (8.8%), and transportation (8.4%). High incidence actions included replacement medication (9.3%), refer to Disaster Mental Health Services (6.4%), provide assistive mobility equipment (5.1%), provide diabetes management supplies (5.0%), provide alternative food and beverages (4.1%), and provide transportation (3.9%).

The process for identifying health and functional support needs in shelters should be standardized through the use of the C-MIST framework.

UK guidelines advocate ‘one-stop’ neck lump assessment for cancer referrals. This paper reports the pilot of a novel pre-clinic ultrasound pathway, presents outcomes, and discusses strengths and limitations in the context of the coronavirus disease 2019 pandemic.

Two-week-wait cancer referral patients with a neck lump were allocated a pre-clinic ultrasound scan followed by a clinic appointment. Demographic, patient journey and outcome data were collected and analysed.

Ninety-nine patients underwent ultrasound assessment with or without biopsy on average 8 days following referral. Patients were followed up on average 14.1 days (range, 2–26 days) after initial referral. At the first clinic appointment, 45 patients were discharged, 10 were scheduled for surgery, 12 were diagnosed with cancer, 6 were referred to another specialty and cancer was excluded in 19 patients. Retrospectively, four ultrasounds were performed unnecessarily.

Pre-clinic ultrasound scanning is an alternative to the one-stop neck lump pathway. This study demonstrates fewer clinic visits, faster diagnosis and a low proportion of unnecessary scans, whilst minimising face-to-face consultations and aerosol-generating procedures.

To summarize reports describing implementation and evaluation of Web-based psychosocial interventions for disaster-related distress with suggestions for future intervention and research, and to determine whether a systematic literature review on the topic is warranted.

Systematic searches of Embase, PsycINFO, and MEDLINE were conducted. Duplicate entries were removed. Two rounds of inclusion/exclusion were conducted (abstract and full-text review). Relevant data were systematically charted by 2 reviewers.

The initial search identified 112 reports. Six reports, describing and evaluating 5 interventions, were included in a data analysis. Four of the 5 interventions were asynchronous and self-guided modular programs, with interactive components. The fifth was a short-term, online supportive group intervention. Studies utilized a variety of evaluation methods, and only 1 of 14 outcome measures used across the studies was utilized in more than 1 project.

Several Web-based psychosocial interventions have been developed to target disaster-related distress, but few programs have been formally evaluated. A systematic review of the topic would not be recommended at this time due to heterogeneity in reported studies. Further research on factors impacting participation, generalizability, and methods of program delivery with consistent outcome measures is needed.

Using physiological markers to detect patients at risk of deterioration is common. Deaths at music festivals in Australia prompted scrutiny of tools to identify critically unwell patients for transport to hospital. This study evaluated initial physiological parameters to identify patients selected for transport to hospital from a music festival.

A retrospective audit of 2045 presentations at music festivals in Victoria, Australia, was performed. Presentation heart rate, systolic blood pressure, respiratory rate, oxygen saturation, temperature, and Glasgow Coma Scale were assessed using area under the receiver operating characteristic curve (AUROC) analysis, with a prespecified threshold of 0.7.

The only measured variable to exceed the prespecified cutpoint was initial systolic blood pressure, with an AUROC of 0.72 and optimal cutpoint of 122 mmHg. Using commonly accepted cutpoints for variables did not improve detection performance to acceptable levels, nor did using combination systems of cutpoints.

Initial physiological variables are poor predictors of the decision to transport to hospital from music festivals. Systolic blood pressure was significant, but only at a clinically insignificant value. Decisions on which patients to transport from an event site should incorporate more information than initial physiology. Senior clinicians should lead decision-making about hospital transport from music festivals.

General Practitioners (GPs) are inevitably involved when disaster strikes their communities. Evidence of health care needs in disasters increasingly suggests benefits from greater involvement of GPs, and recent research has clarified key roles. Despite this, GPs continue to be disconnected from disaster health management (DHM) in most countries.

The aim of this study was to explore the perspectives of disaster management professionals in two countries, across a range of all-hazard disasters, regarding the roles and contributions of GPs to DHM, and to identify barriers to, and benefits of, more active engagement of GPs in disaster health care systems.

A qualitative research methodology using semi-structured interviews was conducted with a purposive sample of Disaster Managers (DMs) to explore their perspectives arising from experiences and observations of GPs during disasters from 2009 through 2016 in Australia or New Zealand. These involved all-hazard disasters including natural, man-made, and pandemic disasters. Responses were analyzed using thematic analysis.

These findings document support from DM participants for greater integration of GPs into DHM with New Zealand DMs reporting GPs as already a valuable integrated contributor. In contrast, Australian DMs reported barriers to inclusion that needed to be addressed before sustained integration could occur. The two most strongly expressed barriers were universally expressed by Australian DMs: (1) limited understanding of the work GPs undertake, restricting DMs’ ability to facilitate GP integration; and (2) DMs’ difficulty engaging with GPs as a single group. Other considerations included GPs’ limited DHM knowledge, limited preparedness, and their heightened vulnerability.

Strategies identified to facilitate greater integration of GPs into DHM where it is lacking, such as Australia, included enhanced communication, awareness, and understanding between GPs and DMs.

Experience from New Zealand shows systematic, sustained integration of GPs into DHM systems is achievable and valuable. Findings suggest key factors are collaboration between DMs and GPs at local, state, and national levels of DHM in planning and preparedness for the next disaster. A resilient health care system that maximizes capacity of all available local health resources in disasters and sustains them into the recovery should include General Practice.

To report intensive care unit admission outcomes for head and neck cancer patients.

A retrospective, observational cohort analysis of all Australian and New Zealander head and neck cancer patient intensive care unit admissions from January 2000 to June 2016, including data from 192 intensive care units.

There were 10 721 head and neck cancer patients, with a median age of 64 years (71.6 per cent male). Of admissions, 76.4 per cent were in public hospitals, 96.9 per cent were post-operative and 43.6 per cent required mechanical ventilation. Annual head and neck cancer admissions increased from 2000 to 2015 (from 348 to 1132 patients), but the overall proportion of intensive care unit admissions remained constant. In-hospital mortality was 2.7 per cent, and intensive care unit mortality was 0.7 per cent. The in-hospital mortality risk decreased three-fold (p < 0.001).

Head and neck cancer patients had low mortality in the intensive care unit and in hospital. Risk of dying decreased despite more intensive care unit admissions. This is the first large-scale cohort study quantifying intensive care unit utilisation by head and neck cancer patients. It informs future work investigating alternatives to the intensive care unit for these patients.

New York City was the epicenter of the outbreak of the 2019 coronavirus disease (COVID-19) pandemic in the United States. As a large, quaternary care medical center, NYU Langone Medical Center was one of many New York medical centers that experienced an unprecedented influx of patients during this time. Clinical leadership effectively identified, oriented, and rapidly deployed a “COVID Army,” consisting of non-hospitalist physicians, to meet the needs of the patient influx. We share feedback from our providers on our processes and offer specific recommendations for systems experiencing a similar influx in the current and future pandemics.

To assess the experiences and perceived readiness of these physicians (n = 183), we distributed a 32-item survey between March and June of 2020. Thematic analyses and response rates were examined to develop results.

Responses highlighted varying experiences and attitudes of our frontline physicians during an emerging pandemic. Thematic analyses revealed a series of lessons learned, including the need to (1) provide orientations, (2) clarify roles/workflow, (3) balance team workload, (4) keep teams updated on evolving policies, (5) make team members feel valued, and (6) ensure they have necessary tools available.

Lessons from our deployment and assessment are scalable at other institutions.

Understanding the drivers of health care utilization patterns following disasters can better support health planning. This study characterized all-cause hospitalizations among older Americans after eight large-scale hurricanes.

The objective of this study was to characterize all-cause hospitalizations for any cause among older Americans in the 30 days after eight large-scale hurricanes.

A self-controlled case series study among Medicare beneficiaries (age 65+) exposed to one of eight hurricanes was conducted. The predicted probability of sociodemographic factors associated with hospitalization using logit models was estimated.

Hurricane Sandy (2012) had the highest post-hurricane admission rate, a 23% increase (incidence rate ratio [IRR] = 1.23; 95% CI, 1.22-1.24), while Hurricane Irene in 2011 had only a 10% increase (IRR = 1.10; 95% CI, 1.09-1.11). Higher likelihood of hospitalization occurring after hurricanes included being 85 or older (36.8% probability of hospitalization; 95% CI, 34.7-39.0) and being dually eligible for Medicare and Medicaid (62.8%; 95% CI, 60.7-64.9).

Planning to address the surge in hospitalization for a longer time period after hurricanes and interventions targeted to support aging Americans are needed.