bed capacity
Recently Published Documents


TOTAL DOCUMENTS

198
(FIVE YEARS 113)

H-INDEX

15
(FIVE YEARS 4)

2022 ◽  
Author(s):  
Mona Al-Amin ◽  
Md Nazmul Islam ◽  
Kate Li ◽  
Natalie E Sheils ◽  
John Buresh

Objective: This study aims to investigate the relationship between registered nurses and hospital-based medical specialties staffing levels with inpatient COVID-19 mortality rates. Methods: We rely on data from AHA Annual Survey Database, Area Health Resource File, and UnitedHealth Group Clinical Discovery Database. We use linear regression to analyze the association between hospital staffing levels and bed capacity with inpatient COVID-19 mortality rates from March 1, 2020, through December 31, 2020. Results: Higher staffing levels of registered nurses, hospitalists, and emergency medicine physicians were associated with lower COVID-19 mortality rates. Moreover, a higher number of ICU and skilled nursing beds were associated with better patient outcomes. Hospitals located in urban counties with high infection rates had the worst patient mortality rates. Conclusion: Higher staffing levels are associated with lower inpatient mortality rates for COVID-19 patients. A future assessment is needed to establish benchmarks on the minimum staffing levels for nursing and hospital-based medical specialties during pandemics.


2021 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Yuyun Hidayat ◽  
Subiyanto Subiyanto ◽  
Titi Purwandari ◽  
Dhika Surya Pangestu ◽  
Sukono Sukono

West Java noted, as of August 14, 2021, 653,741 people were confirmed positive for COVID-19. On the same date, the number of active COVID-19 cases in West Java was 65,000. There is a significant increase in active cases of COVID-19 in 2021 in West Java. In the period 5 June – 17 July 2021, there was an increase in the number of active cases by 95,532. In that period, active cases increased by 484%, and the Bed Occupancy Ratio (BOR) in West Java had jumped in June 2021 with the highest number of 91.6%, this figure far exceeded the WHO recommendation of 60% before finally continuing to decline and finally in August was at 30.69%. This has an impact on the incidence of patient rejection at the COVID-19 referral hospital. Active cases talk about COVID-19 patients who need medical treatment and new cases talk about the rate of spread of COVID-19 in West Java, so these two things are very strategic to study. In this study, active cases and new case were predicted using Multilayer Perceptron (MLP). The data used in this study were sourced from the COVID-19 Task Force. The data is the number of positive cases, recovered and died of COVID-19 sufferers in 34 provinces in Indonesia in the period 2 March 2020 - 14 August 2021. The results of the study found, from the results of the evaluation using data testing the number of active cases in the last 19 weeks, namely April 10 – August 14, 2021, MLP is accurate in predicting the number of active cases for the first coming week 17 times, and the next two weeks for the second week 12 times with an absolute percentage error (APE) < 20%. As for weekly new cases, MLP has been accurate 10 times for the next one week and 9 times for the next two weeks. It is hoped that the results of this study can be useful for the government as a reference in conditioning the hospital bed capacity to deal with active cases of COVID-19 in West Java in the next two weeks so that no COVID-19 patients are rejected by the hospital because the hospital is full.


2021 ◽  
Vol 5 (2) ◽  
pp. 142-143
Author(s):  
Theodomir Sebazungu ◽  
Pascaline Kiota Kabungo ◽  
Emmanuel Manirakiza ◽  
Blaise Dushimiyimana

Background: Leeches are hermaphroditic rare blood-sucking human endoparasitesof phylum Annelida and class Hirudinea. Leech infestation is a zoonotic disease acquired by drinking contaminated water, swimming in ponds and streams .1Epidemiology of leech bites in literature is limited and the majority of existing data are case reports from the tropics or subtropics.2–4 Leech bites can occur on various orifices of the body including internal body cavities and orifices, such as the uterus, rectum, urinary bladder, vulva, nasal cavity, peritoneal cavity, nasopharynx, oropharynx, oesophagus, trachea, bronchi and the vagina.5 Different chemicals for leech removal have been utilized and include anesthetics drugs like lidocaine and topical anesthetic spray. Salt, saline, vinegar, alcohol, and heat are also viable options. Of these, saltwater has been shown to be effective in causing the leech to relax and release.Vaginal bleeding resulting from leech bite is rare, but when it occurs, it may be of severe morbidity.2–4 In the present case report that happened at Kabaya district hospital, a six year old child with vaginal bleeding that turned out to be caused by vaginal leech infestation is presented. Kabaya district hospital is a rural hospital with 144-bed capacity and serves 188,902 inhabitants and is geographically difficult to access due to the lack of reliable roads and bridges, especially in the rainy season.


2021 ◽  

Background: The ongoing COVID-19 pandemic increased the need for inpatient beds, indicating the need for hospitals to increase the efficiency of beds. Objectives: This study aimed to increase hospital bed capacity using the implementation of Electronic Patient Discharge (EPD). Methods: This qualitative-quantitative study was conducted in a tertiary care hospital using the pre-and post-intervention designs, and the main outcome was patient discharge time. By applying the Six Sigma model, including definition, measurement, analysis, improvement, and control, the patient discharge process was assessed and improved by some interventions such as EPD. All hospitalized patients with COVID-19 from 21 March 2020 to 22 July 2021 were examined for the post-intervention. In addition, data were collected from the hospital information system (HIS). Results: By the use of EPD, patient discharge time decreased to 47.70% (from 10.19 h to 5.33 h) (P < 0.000). According to the Sigma level, the yield and defects per million opportunities of the discharge process also increased to 55%. Conclusion: Six Sigma methodology can be an effective change management tool to improve discharge time to cover the demand created during pandemics. According to the results of the present study and the obtained saved time, one bed is added to the hospital capacity for every five discharges.


Ekonomika ◽  
2021 ◽  
Vol 100 (2) ◽  
pp. 144-170
Author(s):  
Cuma Demirtaş ◽  
Munise Ilıkkan Özgür ◽  
Esra Soyu

In this study, the effects of COVID-19 (mortality rate, case rate, and bed capacity) on the stock market was examined within the framework of the efficient market hypothesis. Unlike other studies in the literature, we used the variable of bed capacity besides the mortality rate and case rate variables. The relationship between the mentioned variables, using daily data between December 31 of 2019 and November 10 of 2020, has been analyzed with time-varying symmetric and asymmetric causality tests for China, Germany, the USA, and India. Considering that the responses to positive and negative shocks during the pandemic process may be different and that the results may change depending on time, time-varying symmetric and asymmetric causality tests were used. According to the time-varying symmetric causality test, stock markets in all countries were affected in the period when the cases first appeared. A causal relationship between COVID-19 and country stock markets was found. The results showed that the effects of the case rate and bed capacity on the stock market occurred around the same time in Germany and the United States; however, these dates differed in China and India. According to time-varying asymmetric causality test findings, the asymmetric effect of the pandemic on the stock market in countries emerged during the second wave. The findings showed that the period during which positive and negative information about the pandemic intensified coincided with the period during which the second wave occurred; besides, the results show the effect of this information on the stock market differed as positive and negative shocks.


2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A35-A35
Author(s):  
A Griffiths ◽  
S Preston ◽  
A Adams ◽  
M Vandeleur

Abstract Introduction Our paediatric sleep unit commenced service for children with complex medical problems in July 2015. Service capacity includes 12 inpatient level 1 studies (two neonates) and one home study per week. FTE includes senior scientists 2.6, sleep technologists 1.7, administration 1.0, nursing 0.7 and medical 1.2. The primary aim of this study was to evaluate activity during the first 5-years. The secondary aim was to document the impact of the COVID-19 pandemic. Methods Sleep unit operational & diagnostic data were collected from sleep booking sheets, sleep study reports, electronic medical records. Descriptive statistics are presented. Results A total of 2186 sleep studies were performed (July 2015 to June 2020) with a range of 368–472 studies per annum. Overall, 61.7% were diagnostic studies, 20.8% titration studies (CPAP, oxygen, bi-level or invasive ventilation), 10% neonatal and 7.5% home studies. Between 2016–2020, the average waiting time (days) for a neonatal study was 16, a titration study was 106, a diagnostic study was 110 and a home study was 76. Further delays were caused by the COVID19 pandemic. Mean waiting time rose 229% from 108 days (Feb 2020) to 355 days (Feb 2021). Referrals for sleep studies have exceeded bed capacity since the beginning of the pandemic. Discussion This audit describes activity in a tertiary complex paediatric sleep service during the first 5 years. The service has struggled on current FTE and bed capacity to manage waiting times, exacerbated further by the COVID-19 pandemic. A new business and clinical model are warranted.


Author(s):  
Damian Balmforth ◽  
Ana Lopez-Marco ◽  
Martin Yates ◽  
Benjamin Adams ◽  
Alex Cale ◽  
...  

Background and aims: The COVID-19 pandemic caused a dramatic shift in the provision of cardiac surgical services in the United Kingdom (UK) with all elective surgery suspended. We sought to explore referral patterns, changes in clinical decision making and resource allocation to adult cardiac surgical services in the UK during the first wave of the pandemic. Methods: Data from 11 UK centres on referrals and available health resources (operating theatre and bed capacity) for urgent or emergency adult cardiac surgery between the 1st March 2020 and the 1st August 2020 was collated, and securely transferred to the lead centre for analysis. Results: 1113 patients were referred for cardiac surgery over the study period. Following UK lockdown in March 2020 the number of referrals initially fell to 39% of pre-lockdown levels before recovering to 211% of that seen prior to the pandemic. A change in treatment strategies was observed with a trend towards deferring surgery entirely or favouring less invasive, non-surgical treatments. At the peak of the pandemic in April 2020, theatre availability and bed capacity fell to 26% and 54% of pre-lockdown levels, respectively. Provision for emergency surgery was maintained throughout at 1 to 2 emergency lists per unit weekly. Conclusion: During the first wave of the UK COVID-19 pandemic cardiac surgical operative activity dropped acutely before increasing over the next four months. Despite this drop, provision for emergency surgery was retained throughout. In the event of further waves of COVID-19 pandemic, maintaining essential cardiac surgical services should be prioritised.


Sign in / Sign up

Export Citation Format

Share Document