A comparative analysis of outpatient nutrition clinic scheduling outcomes based on in-person and telehealth patient care delivery modalities.

During the start of the global COVID-19 pandemic in March 2020, patient care modalities changed from in-person to telehealth to comply with physical distancing guidelines. Our study uniquely examines operations data from three distinct periods: before the transition to telehealth, early transition from in-person care to telehealth, and the eventual adoption of telehealth. We present a comparative analysis of outpatient nutrition clinic scheduling outcomes based on care delivery modality. We used descriptive statistics to report means and variance and frequencies. We used inferential statistics to make comparisons: categorical data were compared using chi-square analysis with post-hoc comparisons using a z-test with alpha at 0.05. Means of continuous variables were compared using ANOVA with Tukey HSD post-hoc analysis. We found patient demographics remained widely unchanged across the three distinct periods as the demand for telehealth visits increased, with a notable rise in return patient visits, signaling both adaptability across the patient population and acceptance of the telehealth modality. These analyses along with evidence from the included literature review point to many the benefits of telehealth, thus telehealth as a healthcare delivery modality is here to stay. Our work serves as a foundation for future studies in this field, provides information for decision-makers in telehealth-related strategic planning, and can be utilized in advocacy for the extension of telehealth coverage.

Self-reported and the actual involvement of community pharmacy professionals in the management of acute childhood diarrhea in Jazan Province, Saudi Arabia: Simulated patient visits and survey study.

Background: Acute childhood diarrhea is one of the most common causes of dehydration, and if severe, can potentially lead to death as well. The present study was aimed at evaluating the knowledge and attitudes of community pharmacy professionals towards the management of acute childhood diarrhea and comparing them with their actual practices in Jazan Province, Kingdom of Saudi Arabia (K.S.A). Methods: Simulated patient visits and a cross-sectional survey making use of a 27-item self-report questionnaire were conducted amongst a sample of 303 community pharmacy professionals (51.2 % male and 48.8 % female) with an age range of 25-56 years, between August 1 and December 1, 2021, in Jazan Province, Saudi Arabia. Convenience sampling technique was used for the recruitment of the participants. Results: Significant positive correlations were seen between knowledge score (self-report survey) and practice score (simulated patient visit) regarding patients' history taking (r = 0.65; p < 0.01), drug recommendations (r = 0.71; p < 0.01) and providing information regarding food and fluid intake (r = 0.44; p < 0.01). The alpha coefficients for all the items of the survey instrument were noted to be greater than (or) equal to the 0.70 threshold for almost all sections, hence indicating good reliability and internal consistency of the developed scale. Conclusion: In the present study, even though we observed improved participants' performance during the self report survey, their performance level greatly dropped in actual practice. This warrants for a need for educational programs to improve their actual dispensing practices. The present study has also shown simulated patient visits to be a reliable, simple and a robust method of assessing the actual dispensing practices of community pharmacy professionals.

Efforts of a Psychiatric Liaison Team in a ward with patients with severe coronavirus disease 2019.

The rapid increase in inpatients during the coronavirus disease 2019 (COVID-19) pandemic acutely increased the workload of physicians and nurses caring for severely ill patients. Moreover, family visits were restricted for infection control purposes, and family members were unable to be briefed regarding a patient's condition because they tested positive or they had been in close contact with an infectious patient, thus increasing the burden on the patient's family and the medical staff. Therefore, our psychiatric liaison team intervened by attending briefing sessions for family members and online patient visits while also conducting sessions to provide information about mental health and relaxation sessions for the hospital's nurses to reduce their burden as much as possible. These efforts provided mental support for the patients' families while also reducing the challenges of and the burden on medical staff. If the number of severely ill patients increases rapidly and the burden on patients' families and medical staff increases, then we hope that these efforts will help to provide better psychological support to both families and staff.

Predicting hospital emergency department visits with deep learning approaches

Overcrowding in emergency department (ED) causes lengthy waiting times, reduces ade-quate emergency care and increases rate of mortality. Accurate prediction of daily ED visits and allocating resources in advance is one of the solutions to ED overcrowding problem. In this paper, a deep stacked architecture is being proposed and applied to the daily ED visits prediction problem with deep components such as Long Short Term Memory (LSTM), Gated Recurrent Units (GRU) and simple Recurrent Neural Network (RNN). The proposed architec-ture achieves very high mean accuracy level (94.28-94.59%) in daily ED visits predictions. We have also compared the performance of this architecture with non-stacked deep mod-els and traditional prediction models. The results indicate that deep stacked models out-perform (4-7%) the traditional prediction models and other non-stacked deep learning models (1-2%) in our prediction tasks. The application of deep neural network in ED visits prediction is novel as this is one of the first studies to apply a deep stacked architecture in this field. Importantly, our models have achieved better prediction accuracy (in one case comparable) than the state-of-the-art in the literature.(c) 2022 Published by Elsevier B.V. on behalf of Nalecz Institute of Biocybernetics and Bio-medical Engineering of the Polish Academy of Sciences.

Temporal associations between emergency department and telehealth volumes during the COVID-19 pandemic: A time-series analysis from 2 academic medical centers.

BACKGROUND: The COVID-19 pandemic compelled healthcare systems to rapidly adapt to changing healthcare needs as well as identify ways to reduce COVID transmission. The relationship between pandemic-related trends in emergency department (ED) visits and telehealth urgent care visits have not been studied. METHODS: We performed an interrupted time series analysis to evaluate trends between ED visits and telehealth urgent medical care visits at two urban healthcare system in Colorado. We performed pairwise comparisons between baseline versus each COVID-19 surge and all three surges combined, for both ED and telehealth encounters at each site and used Wilcoxon rank sum test to compare median values. RESULTS: During the study period, 595,350 patient encounters occurred. We saw ED visits decline in correlation with rising telehealth visits during each COVID surge. CONCLUSIONS: During initial COVID surges, ED visits declined while telehealth visits rose in inverse correlation with falling ED visits, suggesting that some patients shifted their preferred location for clinical care. As EDs cope with future staffing during the ongoing COVID pandemic, telehealth represents an opportunity for emergency physicians and a means to align patients desires for virtual care with ED volumes and staffing.

COVID-19's Financial Impact on Primary Care Clinicians and Practices.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) disrupted and undermined primary care delivery. The goal of this study was to examine the financial impacts the pandemic has had on primary care clinicians and practices. METHODS: The American Academy of Family Physicians National Research Network and the Robert Graham Center distributed weekly surveys from March 27, 2020, through June 15, 2020, to a network of more than 1960 physicians. Responses to the question, "Could you please tell us about any financial impact the COVID-19 pandemic has had on your practice, if any?" were analyzed using a grounded theory approach of qualitative analysis. The number of unique respondents who answered the financial impact question totaled 461 over the 12 weeks. RESULTS: Severe declines in patient visits, causing drastic revenue reductions, greatly impacted the ability to serve patients. Primary care clinicians and practices experienced significant changes in several areas about financial implications: patient visits, financial strain, staffing and telehealth. DISCUSSION: Preliminary findings revealed that even with Coronavirus Aid, Relief, and Economic Security Act, also known as CARES Act, funding, business viability remains questionable for some primary care practices. CONCLUSIONS: Low patient visits directly resulted in decreased revenues, which in turn, impacted staffing decisions and fueled telehealth implementation. It is difficult to predict whether patient visits will increase after June. Alternate payment models could provide some financial stability and address business viability.