Impact of COVID-19 on acute isolation bed capacity and nursing workforce requirements: A retrospective review.

AIM: To understand the impact of COVID-19 on isolation bed capacity requirements, nursing workforce requirements and nurse:patient ratios. BACKGROUND: COVID-19 created an increased demand for isolation beds and nursing workforce globally. METHODS: This was a retrospective review of bed capacity, bed occupancy and nursing workforce data from the isolation units of a tertiary hospital in Singapore from 23 January 2020 to 31 May 2020. R v4.0.1 and Tidyverse 1.3.0 library were used for data cleaning and plotly 4.9.2.1 library for data visualization. RESULTS: In January to March 2020, isolation bed capacity was low (=<203 beds). A sharp increase in bed capacity was seen from 195 to 487 beds during 25 March to 29 April 2020, after which it plateaued. Bed occupancy remained lower than bed capacity throughout January to May 2020. After 16 April 2020, we experienced a shortage of 1.1 to 70.2 nurses in isolation wards. Due to low occupancy rates, nurse:patient ratio remained acceptable (minimum nurse:patient ratio = 0.26). CONCLUSION: COVID-19 caused drastic changes in isolation bed capacity and nursing workforce requirements. IMPLICATIONS FOR NURSING MANAGEMENT: Building a model to predict nursing workforce requirements during pandemic surges may be helpful for planning and adequate staffing.

Comparison of Chest Compression Quality between Transfer Sheet and Stretcher Use for Transporting out-of-Hospital Cardiac Arrest Patients in a High-Rise Building - A Randomized and Open-Label Cross-over Design.

OBJECTIVES: Stretchers are commonly used for transporting cardiac arrest patients, but their use may be limited in confined spaces, like elevators. Use of transfer sheet as an alternative has not been explored. We aimed to compare manual chest compression quality between these two methods. Methods: In this prospective, open-label, randomized cross-over manikin study, the subjects included emergency medical technicians who were assigned to 12 three-person crews. Scenarios included transport of a cardiac arrest in a high-rise building and elevator using transfer sheet (TS) and stretchers adjusted to 45° (S45) and 90° (S90). Chest compression quality was measured using a recording manikin and that before (on-scene phase) and after (transport phase) the manikin moved via transfer sheet or stretcher were compared. Results: The final analysis included 72 simulation runs. Chest compression quality did not differ among the groups in the on-scene phase. In the transport phase, the transfer sheet group provided greater mean compression depth (54.4 ± 4.2 vs 39.6 ± 7.2 mm, p < 0.01 and 54.4 ± 4.2 vs 40.6 ± 8.3 mm, p < 0.01, respectively) than stretchers of S45 and S90, and higher percentage of deep-enough compression (TS: 51.0 [23.8-74.8]% vs S45: 19.5 [5.8-29.5]%, p < 0.01) than the S45 group. Transfer sheet use showed a trend of lower percentages of full recoil (TS: 40.0 [12.8-64.5]% vs S45: 70.5 [47.0-79.8]% vs S90: 52.5 [25.3-76.0]%, p = 0.09). Chest compression fraction, compressions with correct hand position, and mean compression rates did not differ between groups in the transport phase. The TS group showed shorter time intervals of simulation start-to-first-compression (TS: 13.9 [12.4-15.1] sec vs S90: 15.9 [13.3-16.4] sec, p = 0.04) and total run time (TS: 145.7 [135.1-151.4] sec vs S90: 160.0 [151.9-175.4] sec, p < 0.01) than the S90 group. Conclusion: In this simulation, using transfer sheet outperform using stretcher for transporting cardiac arrest patients from high-rise buildings. Rescuers need to be aware of full chest recoil.

Performance of cardiac troponins within the HEART score in predicting major adverse cardiac events at the emergency department.

BACKGROUND: This study compared the performance of a single blood draw of high-sensitivity troponin T (hsTnT), high-sensitivity troponin I (hsTnI) and conventional troponin I (cTnI) within a modified HEART score for predicting 30-day MACE at Emergency Department (ED) presentation, and established local reference norms for all three assays by determining the cut-off point which yielded the highest sensitivity and negative predictive value for acute myocardial infarction and 30-day MACE. METHODS: This single-center prospective cohort study recruited chest pain patients at the ED, whose hsTnT, hsTnI and cTnI were taken on admission. Subjects were classified into low and non-low risk group according to their modified HEART score, with MACE as the primary endpoint. Receiver-operating characteristic (ROC) curves were generated, area under the curves (AUCs) were calculated; the performance characteristics were determined. RESULTS: The performance of modified HEART scores was comparable among the three assays for 30-day MACE (84.9-87.0% sensitivity, 95.6-96.0% NPV, 95%CI) and none of these had very high AUC and specificity (AUC 0.70-0.71, 53.7-56.7% specificity, 95% CI). The modified HEART score using a single blood draw of either hsTnT (3.9ng/L), hsTnI (0.9ng/L) or cTnI (0.0ng/L) at presentation yielded a sensitivity of 100% for 30-day MACE. CONCLUSION: The modified HEART score using a single blood draw of either hsTnT, hsTnI or cTnI was equally effective in risk-stratifying chest pain patients for safe discharge. The theoretical cut-off points yielding 100% sensitivity are potentially useful (when achieved) for safely discharging low risk patients with undifferentiated chest pain in the ED.

Clinical and Socio-Demographic Predictors of Home Hospice Patients Dying at Home: A Retrospective Analysis of Hospice Care Association's Database in Singapore.

CONTEXT: Hospice care can be delivered in different settings, but many patients choose to receive it at home because of familiar surroundings. Despite their preferences, not every home hospice patient manages to die at home. OBJECTIVE: To examine the independent factors associated with home hospice patient dying at home. METHODS: Retrospective analysis of Hospice Care Association's database. Hospice Care Association is the largest home hospice provider in Singapore. The study included all patients who were admitted into home hospice service from January 1, 2004 to December 31, 2013. Cox proportional hazards modeling with time as constant was used to study the relationship between independent variables and home death. RESULTS: A total of 19,721 patients were included in the study. Females (adjusted risk ratio [ARR] 1.09, 95% CI 1.04-1.15), older patients (ARR 1.01, 95% CI 1.00-1.01), shorter duration of home hospice stay (ARR 0.88, 95% CI 0.82-0.94), fewer episodes of hospitalization (ARR 0.81, 95% CI 0.75-0.86), living with caregivers (ARR 1.54, 95% CI 1.05-2.26), doctor (ARR 1.05, 95% CI 1.01-1.08) and nurse (ARR 1.06, 95% CI 1.04-1.08) visits were positive predictors of dying-at-home. Diagnosis of cancer (ARR 0.93, 95% CI 0.86-1.00) was a negative predictor of dying-at-home. CONCLUSION: Female, older age, living with a caregiver, non-cancer diagnosis, more doctor and nurse visits, shorter duration of home hospice stays, and fewer episodes of acute hospitalizations are predictive of dying-at-home for home hospice patients.

Should the Emergency Department be society's health safety net?

In the US health care system, a core safety net provider has two defining characteristics: (1) either by legal mandate or explicitly adopted mission, they maintain an "open door," offering patients services regardless of their ability to pay; and (2) a substantial portion of their patients are uninsured, on Medicaid, and/or otherwise vulnerable. The hospital Emergency Department (ED), by all accounts, falls within the definition of a core safety net provider. Yet many would argue that this is a primary health care role for which the ED was not originally intended or equipped. Should the ED be society's health-care safety net? Should it be the main provider of care for the indigent? Is this placing an unbearable strain on the ED? Should it be providing primary health-care? If not, what are the alternatives?