Need For Medical Resources Research Articles

Development of a classifier with analysis of feature selection methods for COVID-19 diagnosis

PurposeThe COVID-19 pandemic situation is increasing day by day and has affected the lifestyle and economy worldwide. Due to the absence of specific treatment, the only way to control a pandemic is by stopping its spread. Early identification of affected persons is urgently in demand. Diagnostic methods applied in hospitals are time-consuming, which delay the identification of positive patients. This study aims to develop machine learning-based diagnosis model which can predict positive cases and helps in decision-making.Design/methodology/approachIn this research, the authors have developed a diagnosis model to check coronavirus positivity based on an artificial neural network. The authors have trained the model with clinically assessed symptoms, patient-reported symptoms, other medical histories and exposure data of the person. The authors have explored filter-based feature selection methods such as Chi2, ANOVA F-score and Mutual Information for improving performance of a classification model. Metrics used to evaluate performance of the model are accuracy, precision, sensitivity and F1-score.FindingsThe authors got highest classification performance with model trained with features ranked according to ANOVA FS method. Highest scores for accuracy, sensitivity, precision and F1-score of predictions are 0.93, 0.99, 0.94 and 0.93, respectively. The study reveals that most relevant predictors for COVID-19 diagnosis are sob severity, cough severity, sob presence, cough presence, fatigue and number of days since symptom onset.Originality/valueTreatment for COVID-19 is not available to date. The best way to control this pandemic is the isolation of positive persons. It is very much necessary to identify positive persons at an early stage. RT-PCR test used to check COVID-19 positivity is the time-consuming, expensive and laborious method. Current diagnosis methods used in hospital demand more medical resources with increasing cases of coronavirus that introduce shortage of resources. The developed model provides solution to the problem cheaper and faster decreases the immediate need for medical resources and helps in decision-making.

Facilities for Centralized Isolation and Quarantine for the Observation and Treatment of Patients with COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic increased the burden on many healthcare systems and in the process, exposed the need for medical resources and physical space. While few studies discussed the efficient utilization of medical resources and physical space so far. Therefore, this study aimed to summarize experiences related to facilities used for centralized isolation for medical observation and treatment during the COVID-19 pandemic in China and to provide suggestions to further improve the management of confirmed cases, suspected cases, and close contacts. In China, three types of facilities for centralized isolation (Fangcang shelter hospitals, refitted non-designated hospitals, and quarantine hotels) underwent retrofitting for the treatment and isolation of confirmed and suspected cases. These facilities mitigated the immediate high demand for space. Moreover, in order to minimize infection risks in these facilities, regulators and governmental agencies implemented new designs, management measures, and precautionary measures to minimize infection risk. Other countries and regions could refer to China's experience in optimally allocating social resources in response to the COVID-19 pandemic. As a conclusion, government should allocate social resources and construct centralized isolation and quarantine facilities for an emergency response, health authorities should issue regulations for centralized isolation facilities and pay strict attention to the daily management of these facilities, a multidisciplinary administration team is required to support the daily operation of a centralized isolation facility, in-depth studies and international collaboration on the centralized isolation policy are encouraged.

Single-day and cumulative effects of ambient particulate matter exposure on emergency department visits for respiratory disease in South Korea

Background: Along with the industrialization, the air pollutants have gained more attention and studies especially about respiratory diseases were conducted. Emergency visit reflects acute aggravation of disease rather than chronic exacerbation. Objectives: The objective of this study was to evaluate the relationship between the ambient particulate matter and the emergency visits with respiratory disease in South Korea. Methods: Patients diagnosed with respiratory disease in the emergency department in 2018 were enrolled. The data of meteorological factors and air pollutants between 4 December 2017 and 31 December 2018 were acquired. Poisson regression was used with daily emergency visits as the response variable and single-day particulate matter concentration as the explanatory variable. Results: A total of 4207 patients were enrolled. In Poisson regression analysis of all respiratory diseases, the effects of [Formula: see text] and [Formula: see text] were strongest at day before 8 and 26. Age older than 65 group and chronic respiratory disease group had earlier lag effect than the all-diseases group. Cumulative effect was peaked at 14 lag day. The split point of prediction was 87 µg/m3 before 3 days for [Formula: see text] and 37 µg/m3 before 8 days for [Formula: see text]. Conclusion: The results can be used to predict the increase of emergency visits and need for medical resources when the ambient particulate matter concentration rises.

Development and Implementation of an Alternate Care Site During the COVID-19 Pandemic.

IntroductionWith the rampant spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the subsequent pandemic of coronavirus disease 2019 (COVID-19), the need for medical resources has never been greater. In recent history, the deployment of surge medical facilities and their importance in improving the provision of crisis care became relevant. The primary objective of this study was to describe the development and implementation of an alternate care site (ACS) during the COVID-19 pandemic.MethodsThis was a retrospective, single-center study that was conducted between April 7, 2020, and May 26, 2020, of adult patients from a primary facility admitted to an ACS, labeled Staten Island University Hospital East (SIUH-E). These select patients met specific inclusion criteria for SIUH-E before transfer.ResultsDuring the operational course of SIUH-E, 813 patients were screened and 203 patients were accepted for transfer. Of the patients admitted to SIUH-E, 120 (59%) were male. The mean age was 63 years (SD = 13.91). The mean length of stay was 3.93 days (SD = 3.94). Among discharged patients, 179 (88%) were discharged to home or another long-term facility, whereas 24 (12%) patients required a transfer back to the main campus.ConclusionsIn this study, we describe the development and implementation of an alternate care surge facility during the COVID-19 pandemic. SIUH-E played a vital role in effectively caring for select COVID-19 patients, which allowed the primary facilities to treat a greater volume of higher acuity patients. The combined efforts of the state and hospital were able to create and sustain a safe, practical alternative care facility.

Population ageing and mortality during 1990-2017: Aglobal decomposition analysis.

As the number of older people globally increases, health systems need to be reformed to meet the growing need for medical resources. A few previous studies reported varying health impacts of population ageing, but they focused only on limited countries and diseases. We comprehensively quantify the impact of population ageing on mortality for 195 countries/territories and 169 causes of death. Using data from the Global Burden of Disease Study 2017 (GBD 2017), this study derived the total number of deaths and population size for each year from 1990 to 2017. A decomposition method was used to attribute changes in total deaths to population growth, population ageing, and mortality change between 1990 and each subsequent year from 1991 through 2017, for 195 countries/territories and for countries grouped by World Bank economic development level. For countries with increases in deaths related to population ageing, we calculated the ratio of deaths attributed to mortality change to those attributed to population ageing. The proportion of people aged 65 years and older increased globally from 6.1% to 8.8%, and the number of global deaths increased by 9 million, between 1990 and 2017. Compared to 1990, 12 million additional global deaths in 2017 were associated with population ageing, corresponding to 27.9% of total global deaths. Population ageing was associated with increases in deaths in high-, upper-middle-, and lower-middle-income countries but not in low-income countries. The proportions of deaths attributed to population ageing in 195 countries/territories ranged from -43.9% to 117.4% for males and -30.1% to 153.5% for females. The 2 largest contributions of population ageing to disease-specific deaths globally between 1990 and 2017 were for ischemic heart disease (3.2 million) and stroke (2.2 million). Population ageing was related to increases in deaths in 152 countries for males and 159 countries for females, and decreases in deaths in 43 countries for males and 36 countries for females, between 1990 and 2017. The decreases in deaths attributed to mortality change from 1990 to 2017 were more than the increases in deaths related to population ageing for the whole world, as well as in 55.3% (84/152) of countries for males and 47.8% (76/159) of countries for females where population ageing was associated with increased death burden. As the GBD 2017 does not provide variances in the estimated death numbers, we were not able to quantify uncertainty in our attribution estimates. In this study, we found that population ageing was associated with substantial changes in numbers of deaths between 1990 and 2017, but the attributed proportion of deaths varied widely across country income levels, countries, and causes of death. Specific preventive and therapeutic techniques should be implemented in different countries and territories to address the growing health needs related to population ageing, especially targeting the diseases associated with the largest increase in number of deaths in the elderly.

The Imbalance in Medical Demand and Supply for Pediatric Victims in an Earthquake.

We quantified an absolute imbalance of the medical risks and the support needs for children at each disaster-based hospital in Kanagawa immediately following the occurrence of a large earthquake by using the risk resource ratio (RRR) and need for medical resources (NMR). The RRR and NMR of 33 disaster-based hospitals were estimated through dividing the estimated number of pediatric victims by the number of critically patients. We calculated the ratio of the NMR of each hospital. The total number of pediatric victims in Kanagawa was estimated at 8,391. The total number of vacant beds for pediatric victims was 352. The median RRR and NMR of the total number of pediatric victims were 27 and 224. The median RRR and NMR of the number of critically ill pediatric patients were 27 and 12. The absolute imbalance of the RRR and NMR for children in Kanagawa was quantified. This suggests that we might embark on preparedness strategies for children in advance. (Disaster Med Public Health Preparedness. 2018;13:672-676).

Creating a new index to evaluate imbalance in medical demand and supply when disasters occur.

AimThis study examines the use of the medical risk/resource ratio (RRR) and need for medical resources (NMR) as new indicators of the imbalance in medical demand and supply in disasters. These indicators are used to quantify the medical demand–supply imbalance per disaster base hospital, examine the demand–supply imbalance in the region, and verify the need for medical support.MethodsWe calculated the RRR of each disaster base hospital by dividing the revised estimate of the number of patients with the number of empty beds. We calculated the required number of hospital beds as the NMR to restore the RRR of each disaster base hospital to two. The RRR and NMR were combined, and prioritization for medical support was classified into three levels.ResultsThe median RRR was 23 (range, 1–101), and the median NMR was 943 (range, 0–2,124). Fifteen hospitals had a medical support priority of 1, five hospitals had a priority of 2, and 13 hospitals had a priority of 3.ConclusionThe medical demand–supply imbalance and amount of medical support needed can be quantified using RRR and NMR, which allows examination of the priority level for medical support.

The Ethics of Care: Social Workers in an Influenza Pandemic

ABSTRACT Many healthcare organizations and government agencies are making detailed preparations for the possibility of a pandemic of highly virulent influenza. All plans to date have recognized that there will undoubtedly be a greater need for medical resources than will be available. Thus, we will be faced with a situation in which not all will be offered curative care, even if they could benefit from it. Even if there were sufficient amounts of vaccines, hospital beds, ventilators, and antibiotics, there are still expected to be large numbers of deaths as well as stress due to the overwhelming nature of the pandemic. The challenges of caring for the incurable, the uncured, healthcare workers, and the survivors and their families will place almost unprecedented demands on mental health workers. In this article, I discuss these ethical and medical challenges and the role that social workers will be called on to play.

Nutritional assessment and management in hospitalised patients: Implication for DRG-based reimbursement and health care quality

Malnutrition is associated with a higher morbidity resulting in an increased need for medical resources and economic expenses. In order to ensure sufficient nutritional care it is mandatory to identify the effect of malnutrition and nutritional care on direct cost and reimbursement. The primary aim of this study was to evaluate the economic effect of a nutritional screening procedure on the identification and coding of malnutrition in the G-DRG system. All G-DRG relevant parameters of 541 consecutive patients at a gastroenterology ward were documented. Moreover, all patients were screened for malnutrition by a dietician according to the subjective global assessment (SGA). Patients were then grouped into the appropriate G-DRG and the effective cost weight (CW) was calculated. Ninety-two of 541 patients (19%) were classified malnourished (SGA B or C). Recognition of malnutrition increase from 4% to 19%. Malnourished patients exhibited a significantly increased length of hospital stay (7.7+/-7 to 11+/-9, P<0.0001). In 26/98 (27%) patients, the coding of malnutrition was considered relevant by grouping and resulted in a rise of DRG benefit. Mean case mix value and patients' complexity and comorbidity level (PCCL) increased after including malnutrition in the codification (CV 1.53+/-2.9 to 1.65+/-2.9, P=0.001 and PCCL 2.69+/-1.4 to 3.47+/-0.82, P<0.0001). The reimbursement increase by 360/malnourished patient or an additional reimbursement of 35280 (8.3% of the total reimbursement for all patients of 423186). Nutritional support in a subgroup of 50 randomly selected patients resulted in additional costs of 10268 . Forty-four of these patients (86%) were classified malnourished (32 SGA B and 12 SGA C). However, the subsequent reimbursement covered only approximately 75% of the expenses (7869), but did not include the potential financial benefits resulting from clinical interventions. Malnourished patients can be detected with a structured assessment and documentation of nutritional status and this is partly reflected in the G-DRG/ICD 10 system. In addition to increasing direct health care reimbursement, nutritional screening and intervention has the potential to improve health care quality.