RESUMO
BACKGROUND: Terrorist attacks and natural disasters such as Hurricanes Katrina and Harvey have increased focus on disaster preparedness planning. Despite the attention on planning, many studies have found that hospitals in the United States are underprepared to manage extended disasters appropriately and the surge in patient volume it might bring. AIM: This study aims to profile and examine the availability of hospital capacity specifically related to COVID-19 patients, such as emergency department (ED) beds, intensive care unit (ICU) beds, temporary space setup, and ventilators. METHOD: A cross-sectional retrospective study design was used to examine secondary data from the 2020 American Hospital Association (AHA) Annual Survey. A series of multivariate logistic analyses were conducted to investigate the strength of association between changes in ED beds, ICU beds, staffed beds, and temporary spaces setup, and the 3,655 hospitals' characteristics. RESULTS: Our results highlight that the odds of a change in ED beds are 44 percent lower for government hospitals and 54 percent for for-profit hospitals than not-for-profit hospitals. The odds of ED bed change for nonteaching hospitals were 34 percent lower compared to teaching hospitals. Small and medium hospitals have significantly lower odds (75 and 51 percent, respectively) than large hospitals. For ICU bed change, staffed bed change, and temporary spaces setup, the conclusions were consistently significant regarding the impact of hospital ownership, teaching status, and hospital size. However, temporary spaces setup differs by hospital location. The odds of change is significantly lower (OR = 0.71) in urban hospitals compared with rural hospitals, while for ED beds, the odds of change is considerably higher (OR = 1.57) in urban hospitals compared to rural hospitals. CONCLUSION: There is a need for policymakers to consider not only resource limitations that were created from supply line disruptions during the COVID-19 pandemic but also a more global assessment of the adequacy of funding and support for insurance coverage, hospital finance, and how hospitals meet the needs of the populations they serve.
Assuntos
COVID-19 , Humanos , Estados Unidos , COVID-19/epidemiologia , Número de Leitos em Hospital , Estudos Transversais , Estudos Retrospectivos , Pandemias , Hospitais , Serviço Hospitalar de EmergênciaRESUMO
Introducción: La hospitalización a domicilio para pacientes quirúrgicos (HaDQ) es una al-ternativa a la hospitalización convencional para pacientes quirúrgicos estables clínicamente, que precisen procedimientos de enfermería complejos por intensidad, frecuencia o carac-terísticas, y control por especialista quirúrgico en el domicilio.Método: Estudio transversal, descriptivo y retrospectivo de la actividad de la HADQ de nuestro hospital durante los primeros seis me-ses del 2020, para analizar la repercusión de la pandemia por SARS-CoV-2 en la unidad. Se distinguen tres periodos: prepandemia (enero-febreo), confinamiento (marzo-abril), poscon-finamiento (mayo-junio). Se diferencian dos grupos: A (HaD convencional) y B (despistaje preoperatorio COVID19). Se recogieron diver-sas variables: mes, tipo, estancia (HaD y hospi-tal), procedimientos, reingresos, domicilio, tipo visitas, COVID+. Se realizó un análisis estadís-tico descriptivo cuantitativo y cualitativo de los resultados obtenidosResultados: Ingresaron 345 pacientes, 225 en el grupo A (fase Pre (34%), fase C (40%), y fase Pos (25%)), y 120 en el B (fase C (75%), fase Pos (25%)). El confinamiento (fase C) fue el pe-ríodo más activo de la HADQ, tanto por número de ingresos (53%), como por la complejidad del grupo A que requería más procedimientos (71%) y más visitas domiciliarias (52%). Tam-bién aumentaron los pacientes de zona de no cobertura (42%), que implicaron visitas médicas y de enfermería en Hospital de Día (HD) (21%), y aumento de consultas telefónicas médicas (36%). En la fase Pos disminuyeron un 37% los ingresos del grupo A.Conclusiones: La HaDQ se reorganizó por la pandemia para atender a más pacientes quirúr-gicos, siendo un recurso asistencial esencial, especialmente durante el confinamiento. (AU)
Introduction: The HaDQ is an alternative to conventional hospitalization for clinically stable surgical patients who require complex nursing procedures due to intensity, frequency or char-acteristics, and control by a surgical specialist at home.Method: Cross-sectional, descriptive and ret-rospective study of the HADQ activity of our hospital during the first six months of 2020, to analyze the impact of the SARSCov2 pandemic in the unit. Three periods are distinguished: pre-pandemic (Jan-Feb), lockdown (Mar-Apr), post-lockdown (May-Jun). Two groups are differen-tiated: A (conventional HaD) and B (COVID19 preoperative screening). Various variables were collected: month, type, stay (HaD and hospi-tal), procedures, readmissions, address, type of visits, covid+. A quantitative and qualitative descriptive statistical analysis of the results ob-tained was carried out.Results: 345 patients were admitted, 225 in group A (phase Pre (34%), Phase C (40%), and phase Post (25%)), and 120 in group B (Phase C (75%), phase Post (25%)). %)). The confinement (phase C) was the most active period of the HADQ, both due to the number of admissions (53%), and the complexity of group A, which re-quired more procedures (71%) and more home visits (52%). There was also an increase in pa-tients from the non-coverage area (42%), which involved medical and nursing visits at the Day Hospital (HD) (21%), and an increase in medi-cal telephone consultations (36%). In the phase Post, the income of group A decreased by 37%.Conclusions: The HaDQ was reorganized due to the pandemic to care for more surgical pa-tients, being an essential care resource, espe-cially during confinement. (AU)
Assuntos
Humanos , Visita Domiciliar , Serviços Hospitalares de Assistência Domiciliar , Procedimentos Cirúrgicos Ambulatórios , Coronavírus Relacionado à Síndrome Respiratória Aguda Grave , Número de Leitos em Hospital , Hospitalização , Alta do Paciente , Estudos Transversais , Epidemiologia DescritivaRESUMO
To address severe adult in-patient capacity pressures during the COVID-19 pandemic, 15 community hospitals were mandated to close their in-patient paediatric units (167 beds) and transfer paediatric in-patients to a single paediatric tertiary hospital. The tertiary hospital increased bed capacity through a surge plan activation, while community hospitals redeployed resources to fill the gaps in adult care. Also, 530 patients were transferred solely to increase adult bed capacity during the closure. Several factors enabled the system to function collaboratively. Closures increased the potential adult in-patient capacity by 6,740 bed days and demonstrated an unprecedented system-wide approach to the provision of integrated paediatric care across the region.
Assuntos
COVID-19 , Adulto , Humanos , Criança , Pandemias , Número de Leitos em Hospital , Atenção à Saúde , Hospitais , Unidades de Terapia Intensiva , Capacidade de Resposta ante EmergênciasRESUMO
BACKGROUND: The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective. OBJECTIVE: The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem. Thus, doctors' work efficiency can be improved, patients' waiting time can be effectively reduced, and patients can be provided with more satisfactory medical services. METHODS: Outpatient service is divided into examination and diagnosis service according to lean thinking. CPLEX is used to solve the integer linear programming problem of outpatient service allocation, and the maximum working time is minimized by constraint solution. RESULTS: A variety of values are taken for the relevant parameters of the outpatient service, using CPLEX to obtain the minimum and maximum working time corresponding to each situation. Compared with no refinement stratification, the work efficiency of senior doctors has increased by an average of 25%. In comparison, the patient flow of associate senior doctors has increased by an average of 50%. CONCLUSION: In this paper, the method of outpatient capacity planning improves the work efficiency of senior doctors and provides outpatient services for more patients in need; At the same time, it indirectly reduces the waiting time of patients receiving outpatient services from senior doctors. And the patient flow of the associate senior doctors is improved, which helps to improve doctors' technical level and solve the problem of shortage of medical resources.
Assuntos
Pacientes Ambulatoriais , Médicos , Humanos , Assistência Ambulatorial , Hospitais , Programação Linear , Número de Leitos em HospitalRESUMO
BACKGROUND: In Africa, pediatric liver transplantation (PLT) is currently only performed in Egypt and South Africa, leaving those who require treatment in Kenya to travel abroad. The aim of this study was to determine whether sufficient capacity and need exists in Kenya to establish a safe and sustainable PLT program. METHODS: A descriptive analysis of the intensive care unit (ICU) beds, surgical workforce, current hepatobiliary volume, and estimated prevalence of pediatric liver disease (PLD) was conducted across 17 hospitals in Kenya between July and September 2020. Data were collected from medical superintendents, directors of surgical departments, or nominated proxies at Kenyan Level 5 and 6 hospitals via a web-based survey. RESULTS: A total of 165 ICU beds were reported at 17 facilities, with 15 facilities reporting five or more beds. About 39% of general surgeons at responding hospitals performed hepatobiliary procedures, and 30% performed pediatric surgeries. Only 10% of surgeons had pediatric training. Over half (57%) of hospitals performed hepatobiliary procedures; at the maximum, 1-5 cases were performed per week including cholecystectomy to Kasai portoenterostomy and hepatectomy. Across 13 hospitals, there were an estimated 192-570 cases of PLD seen per month. The most common PLDs were hepatitis B, neonatal hepatitis, cirrhosis, and acute hepatic failure. Overall, two hospitals possessed the minimum workforce and resources to attempt PLT. CONCLUSIONS: In Kenya, ICU bed availability, pediatric surgical training, and hepatobiliary volume are limited. However, the high prevalence of PLD demonstrated a significant need for PLT across all Kenyan hospitals.
Assuntos
Transplante de Fígado , Criança , Recém-Nascido , Humanos , Quênia , Número de Leitos em Hospital , Inquéritos e Questionários , EgitoRESUMO
A new hospital in north-west Sydney, Australia is to start construction in the year 2023. However, the number of emergency department beds/treatment spaces (EDBs) that it will contain is yet to be determined, as this region is expected to have relatively high population growth from year 2021 to year 2036. In this paper, floating catchment area (FCA) methods were employed to estimate the required number of EDBs for this new hospital. Metrics including spatial accessibility index and spatial equity were calculated based on the predicted populations for 2021 and 2036 using government sourced data. Specifically, potential spatial accessibility and horizontal spatial equity were employed for this paper. Mathematical optimisation was used to determine the most efficient distribution of EDBs throughout different hospitals in this region in 2036. The best allocation of capacity across the study area that simultaneously improved average spatial accessibility and improved spatial equity relative to the metrics of 2021 was found. Traditional methods of healthcare planning seldom consider the spatial location of populations or the travel cost to hospitals. This paper presents a novel method to how capacity of future services are determined due to population growth. These results can be compared to traditional methods to access the validity of the methods outlined in this paper.
Assuntos
Serviço Hospitalar de Emergência , Viagem , Humanos , Número de Leitos em HospitalRESUMO
RESUMEN Introducción: En la Facultad de Tecnología de la Salud se estudia la carrera Sistemas de Información en Salud que incluye en su plan de estudios diversas asignaturas como Sistemas de Información de Estadísticas de Salud, en la que se incluye el estudio de los indicadores hospitalarios del recurso cama; materia que se imparte de forma tradicional y no tiene una herramienta tecnológica de apoyo que facilite el proceso educativo. Objetivo: Diseñar un prototipo de multimedia educativa que favorezca el auto-aprendizaje de los indicadores del recurso cama hospitalaria en la asignatura Sistemas de Información de Estadísticas de Salud de la carrera Sistemas de Información en Salud. Método: Se realizó un estudio de desarrollo tecnológico donde fueron encuestados estudiantes y se entrevistó a la profesora de la asignatura para la obtención de la información. Se utilizó la metodología de Proceso Unificado de Desarrollo y el Lenguaje Unificado de Modelado. Se emplearon las herramientas Visual Paradigm para el modelado, Axure para la creación del prototipo y Mediator para el futuro diseño de la multimedia. Resultados: Se identificaron los problemas de aprendizaje desde la visión de alumnos y profesores, lo que permitió diseñar el prototipo de multimedia educativa sobre los indicadores hospitalarios del recurso cama, que fue considerado útil y pertinente. Conclusiones: Se diseñó un prototipo de multimedia educativa que de manera combinada con el método actual de enseñanza facilitarán y efectuarán de forma dinámica las actividades en el proceso docente educativo.
ABSTRACT Introduction: Health Information Systems career is included In the Faculty of Health Technology; the career have in its curriculum subjects as Health Statistics Information Systems, in which the study of hospital resource bed indicators is carried out; the subject is taught in a traditional way and does not have a technological support tool that facilitates the educational process. Objective: To design an educational multimedia prototype that favors self-learning of the indicators of the hospital bed resource in the Health Statistics Information Systems subject of the Health Information Systems career. Method: A survey of students and interview of teachers permitted to obtain the information needed to carry out a study of technological development using Unified Development Process methodology and Unified Modeling Language; Visual Paradigm tools were used for modeling; Axure for prototyping and Mediator for future multimedia design. Results: there were identified learning problems from the perspective of students and teachers, which allowed the design of the educational multimedia prototype on hospital bed resource indicators, considering it useful and pertinent. Conclusions: The design of the educational multimedia prototype, combined with the current teaching method, will facilitate and dynamically carry out the activities in the educational teaching process.
Assuntos
Humanos , Masculino , Feminino , Ensino , Informática Médica/educação , Aplicações da Informática Médica , Desenvolvimento Tecnológico , Multimídia , Número de Leitos em Hospital/estatística & dados numéricos , CubaRESUMO
BACKGROUND: It has been descriptively argued that the case fatality risk (CFR) of coronavirus disease (COVID-19) is elevated when medical services are overwhelmed. The relationship between CFR and pressure on health-care services should thus be epidemiologically explored to account for potential epidemiological biases. The purpose of the present study was to estimate the age-dependent CFR in Tokyo and Osaka over time, investigating the impact of caseload demand on the risk of death. METHODS: We estimated the time-dependent CFR, accounting for time delay from diagnosis to death. To this end, we first determined the time distribution from diagnosis to death, allowing variations in the delay over time. We then assessed the age-dependent CFR in Tokyo and Osaka. In Osaka, the risk of intensive care unit (ICU) admission was also estimated. RESULTS: The CFR was highest among individuals aged 80 years and older and during the first epidemic wave from February to June 2020, estimated as 25.4% (95% confidence interval [CI] 21.1 to 29.6) and 27.9% (95% CI 20.6 to 36.1) in Tokyo and Osaka, respectively. During the fourth wave of infection (caused by the Alpha variant) in Osaka the CFR among the 70s and ≥ 80s age groups was, respectively, 2.3 and 1.5 times greater than in Tokyo. Conversely, despite the surge in hospitalizations, the risk of ICU admission among those aged 80 and older in Osaka decreased. Such time-dependent variation in the CFR was not seen among younger patients < 70 years old. With the Omicron variant, the CFR among the 80s and older in Tokyo and Osaka was 3.2% (95% CI 3.0 to 3.5) and 2.9% (95% CI 2.7 to 3.1), respectively. CONCLUSION: We found that without substantial control, the CFR can increase when a surge in cases occurs with an identifiable elevation in risk-especially among older people. Because active treatment options including admission to ICU cannot be offered to the elderly with an overwhelmed medical service, the CFR value can potentially double compared with that in other areas of health care under less pressure.
Assuntos
COVID-19 , SARS-CoV-2 , Idoso , Humanos , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , Número de Leitos em Hospital , Unidades de Terapia IntensivaRESUMO
BACKGROUND: Policymakers use simulation-based models to improve system feedback and model the reality of the problems in the system. This study uses the system dynamics approach to provide a model for predicting hospital bed shortages and determine the optimal policy in Shiraz, Southern Iran. METHODS: This study was designed based on Sterman's system dynamic modeling (SDM) process. Firstly, we determined the main variables affecting bed distribution using a mixed qualitative and quantitative study which includes scoping review, expert panel, Delphi, and DANP. Then, dynamic hypotheses were designed. Subsequently, we held several expert panels for designing the causal and stock-flow models, formulating and testing a simulation model, as well as developing various scenarios and policies. RESULTS: Dynamic modeling process resulted in four scenarios. All of the scenarios predicted a shortage of national hospital beds over a 20-year time horizon. Then, four policies were developed based on the changes in the number of beds and capacity of home care services; finally, the optimal policy was determined. CONCLUSIONS: Due to the high cost of setting up hospital beds, developing and supporting cost-effective home care services, strengthening the insurance coverage of these services, and improving the quantity and quality of community care, considering the real needs of the community could be considered as an optimal option for the future of the city.
Assuntos
Hospitais , Políticas , Humanos , Irã (Geográfico) , Número de Leitos em HospitalRESUMO
BACKGROUND: In 2020, the Japanese government implemented first of two Go To Travel campaigns to promote the tourism sector as well as eating and drinking establishments, especially in remote areas. The present study aimed to explore the relationship between enhanced travel and geographic propagation of COVID-19 across Japan, focusing on the second campaign with nationwide large-scale economic boost in 2020. METHODS: We carried out an interrupted time-series analysis to identify the possible cause-outcome relationship between the Go To Travel campaign and the spread of infection to nonurban areas in Japan. Specifically, we counted the number of prefectures that experienced a weekly incidence of three, five, and seven COVID-19 cases or more per 100,000 population, and we compared the rate of change before and after the campaign. RESULTS: Three threshold values and three different models identified an increasing number of prefectures above the threshold, indicating that the inter-prefectural spread intensified following the launch of the second Go To Travel campaign from October 1st, 2020. The simplest model that accounted for an increase in the rate of change only provided the best fit. We estimated that 0.24 (95% confidence interval 0.15 to 0.34) additional prefectures newly exceeded five COVID-19 cases per 100,000 population per week during the second campaign. CONCLUSIONS: The enhanced movement resulting from the Go To Travel campaign facilitated spatial spread of COVID-19 from urban to nonurban locations, where health-care capacity may have been limited.
Assuntos
COVID-19 , Humanos , COVID-19/epidemiologia , Japão/epidemiologia , Viagem , Número de Leitos em Hospital , IncidênciaRESUMO
Introducción: El objetivo es analizar el impacto de la pandemia COVID-19 en las urgencias e ingresos hospitalarios pediátricos. Métodos: Estudio de cohortes retrospectivo, de los pacientes atendidos en un hospital terciario, desde el 14 de marzo hasta el 26 de abril de 2020 comparándose con el mismo periodo de los 3 años anteriores. Resultados: Se observa una notable reducción global de las visitas a urgencias e ingresos en todas las áreas pediátricas, manteniéndose la asistencia en neonatología y los ingresos programados en oncología. Discusión: La reducción de la actividad global en la urgencia pediátrica no es solo explicable por la disminución de las enfermedades transmisibles. Ha podido contribuir la disminución de la demanda inadecuada y de los ingresos inapropiados. La disponibilidad de camas pediátricas haría innecesaria la reducción de la actividad quirúrgica programada y permitiría redistribuir recursos a áreas con mayor presión asistencial.(AU)
Introduction: The objective is to analyze the impact of the COVID-19 pandemic on the pediatric emergencies and hospital admissions. Methods: Retrospective cohort study of patients treated in a tertiary hospital, from March 14 to April 26, 2020, compared to the same period of the previous 3 years. Results: A notable overall reduction in emergency room visits and admissions is observed in all pediatric areas, maintaining care in neonatology and scheduled admissions in oncology. Discussion: The reduction in global activity in pediatric emergencies is not only explained by the decrease in contagious diseases. The decrease in inadequate demand and inappropriate income may have contributed. The availability of pediatric beds would make the reduction of programmed surgical activity unnecessary and would allow the redistribution of resources to areas with greater healthcare pressure.(AU)
Assuntos
Humanos , Masculino , Feminino , Pandemias , Serviço Hospitalar de Emergência , Pacientes Internados , Pediatria , Número de Leitos em Hospital , Governança Clínica , Hospitalização , Doenças Transmissíveis , Microbiologia , Espanha/epidemiologia , Estudos Retrospectivos , Estudos de Coortes , Infecções por Coronavirus , Coronavírus Relacionado à Síndrome Respiratória Aguda GraveRESUMO
In the past two decades, most high-income countries have reduced their hospital bed capacity. This could be a sign of increased efficiency but could also reflect a degradation in quality of care. In this paper, we use repeated cross-sections on mortality and staffed hospital beds per capita in all 21 Swedish regions to estimate the potential death toll from reduced bed capacity. Between 2001 and 2019, mortality and beds decreased across all regions, but regions making smaller bed reductions experienced on average greater decreases in mortality, equivalent to one less death per three beds retained. This estimate is stable to a wide range of specifications and to adjustment for potential confounders, which supports a causal interpretation. Our results imply that by providing one more bed, Swedish health care could produce about three quality-adjusted life years (QALYs) at a cost of SEK 400,000 (â¼US$40,000) per QALY. These findings could be informative about the marginal productivity of health care and support the credibility of empirical work attempting to estimate the opportunity cost of funding new healthcare interventions subject to a constrained budget.
Assuntos
Orçamentos , Custos de Cuidados de Saúde , Humanos , Análise Custo-Benefício , Anos de Vida Ajustados por Qualidade de Vida , Número de Leitos em HospitalRESUMO
OBJECTIVES: Our aim was to examine the numbers of practicing physicians and total numbers of hospital beds in European Organisation for Economic Co-operation and Development countries. METHODS: Data analyzed were derived from the "Organisation for Economic Co-operation and Development Health Statistics 2020" database between 1980 and 2018. The selected countries were compared according to the type of healthcare system and geographical location by parametric and nonparametric tests. RESULTS: In 1980, Bismarck-type systems showed an average number of physicians of 2.3 persons/1000 population; in Beveridge-type systems, it was 1.7 persons. By 2018, it leveled out reaching 3.9 persons in both healthcare system types. In 1980, average physician number/1000 was 2.5 persons in Eastern Europe; in Western Europe, it was 1.9 persons. By 2018 this proportion changed with Western Europe having the higher number (3.7 persons; 3.9 persons). In 1980, average number of hospital beds/1000 population was 9.6 in Bismarck-type systems whereas in Beveridge-type systems it was 8.8. By 2018, it decreased to 5.6 in Bismarck-type systems (-42%) and to 3.1 in Beveridge-type systems (-65%). In 1980, the average number of hospital beds/1000 population in Eastern Europe was 10.3; in Western Europe, it was 8.5. By 2018, the difference between the 2 regions did not change. CONCLUSIONS: Although the number of physicians was 33% higher in 1980 in Eastern Europe than in Western Europe, by 2018 the number of physicians was 5% higher in Western Europe. In general, regardless of the healthcare system and geographical location, the proportion of physicians per 1000 population has improved due to a larger decrease in the number of hospital beds.
Assuntos
Médicos , Humanos , Número de Leitos em Hospital , Europa (Continente)/epidemiologia , Atenção à Saúde , Europa OrientalRESUMO
BACKGROUND: Optimising capacity along clinical pathways is essential to avoid severe hospital pressure and help ensure best patient outcomes and financial sustainability. Yet, typical approaches, using only average arrival rate and average lengths of stay, are known to underestimate the number of beds required. This study investigates the extent to which averages-based estimates can be complemented by a robust assessment of additional 'flex capacity' requirements, to be used at times of peak demand. METHODS: The setting was a major one million resident healthcare system in England, moving towards a centralised stroke pathway. A computer simulation was developed for modelling patient flow along the proposed stroke pathway, accounting for variability in patient arrivals, lengths of stay, and the time taken for transfer processes. The primary outcome measure was flex capacity utilisation over the simulation period. RESULTS: For the hyper-acute, acute, and rehabilitation units respectively, flex capacities of 45%, 45%, and 36% above the averages-based calculation would be required to ensure that only 1% of stroke presentations find the hyper-acute unit full and have to wait. For each unit some amount of flex capacity would be required approximately 30%, 20%, and 18% of the time respectively. CONCLUSIONS: This study demonstrates the importance of appropriately capturing variability within capacity plans, and provides a practical and economical approach which can complement commonly-used averages-based methods. Results of this study have directly informed the healthcare system's new configuration of stroke services.
Assuntos
Unidades de Terapia Intensiva , Acidente Vascular Cerebral , Simulação por Computador , Computadores , Procedimentos Clínicos , Número de Leitos em Hospital , HumanosRESUMO
Objetivo: relatar desafios enfrentados por enfermeiros na gestão de leitos em uma unidade de internação hospitalar durante a pandemia pela COVID-19. Método: trata-se de estudo descritivo, do tipo relato de experiência. As experiências advêm de enfermeiros que atuam em um hospital público de grande porte, localizado no município de Belo Horizonte-MG. As experiências foram coletadas entre março de 2020 a março de 2022 e organizadas em polos temáticos, fundamentados nos pressupostos da análise de qualidade proposta por Donabedian. Resultados: os desafios enfrentados residem na manutenção do distanciamento entre os leitos, compartilhamento de banheiros, adaptações elétricas, criação de leitos de retaguarda, mudança no perfil dos leitos e na comunicação entre profissionais. Conclusão: os resultados convergem com os desafios previamente encontrados na literatura. Entretanto, apresentam de forma minuciosa e estruturada a realidade de uma unidade de internação, a qual tem potencial para auxiliar em situações de crise, sem previsibilidade e arcabouço científico.(AU)
Objective: to report challenges faced by nurses in managing beds in a hospital inpatient unit during the COVID-19 pandemic. Method: this is a descriptive study, of the experience report type. The experiences come from nurses who work in a large public hospital, located in the city of Belo Horizonte-MG. The experiences were collected between March 2020 and March 2022 and organized into thematic poles, based on the assumptions of the quality analysis proposed by Donabedian. Results: the challenges faced lie in maintaining the distance between beds, sharing bathrooms, electrical adaptations, creating backup beds, changing the profile of beds and communication between professionals. Conclusion: the results converge with the challenges previously found in the literature. However, they present in a detailed and structured way the reality of an inpatient unit, which has the potential to help in crisis situations, without predictability and scientific framework(AU)
Objetivo: relatar los desafíos enfrentados por los enfermeros en la gestión de camas en una unidad de hospitalización durante la pandemia de COVID-19. Método: se trata de un estudio descriptivo, del tipo relato de experiencia. Las experiencias provienen de enfermeros que actúan en un gran hospital público, ubicado en la ciudad de Belo Horizonte-MG. Las experiencias fueron recolectadas entre marzo de 2020 y marzo de 2022 y organizadas en polos temáticos, a partir de los supuestos del análisis de calidad propuesto por Donabedian. Resultados: los desafíos enfrentados radican en mantener la distancia entre camas, compartir baños, adaptaciones eléctricas, crear camas de respaldo, cambiar el perfil de las camas y la comunicación entre profesionales. Conclusión: los resultados convergen con los desafíos previamente encontrados en la literatura. Sin embargo, presentan de forma detallada y estructurada la realidad de una unidad de hospitalización, que tiene el potencial de ayudar en situaciones de crisis, sin previsibilidad y marco científico.(AU)
Assuntos
Estrutura dos Serviços , Enfermagem , Avaliação de Processos em Cuidados de Saúde , COVID-19 , Número de Leitos em HospitalRESUMO
OBJECTIVE: To identify the association between strained intensive care unit (ICU) capacity during the COVID-19 pandemic and hospital racial and ethnic patient composition, federal pandemic relief, and other hospital characteristics. DATA SOURCES: We used government data on hospital capacity during the pandemic and Provider Relief Fund (PRF) allocations, Medicare claims and enrollment data, hospital cost reports, and Social Vulnerability Index data. STUDY DESIGN: We conducted cross-sectional bivariate analyses relating strained capacity and PRF award per hospital bed with hospital patient composition and other characteristics, with and without adjustment for hospital referral region (HRR). DATA COLLECTION: We linked PRF data to CMS Certification Numbers based on hospital name and location. We used measures of racial and ethnic composition generated from Medicare claims and enrollment data. Our sample period includes the weeks of September 18, 2020 through November 5, 2021, and we restricted our analysis to short-term, general hospitals with at least one intensive care unit (ICU) bed. We defined "ICU strain share" as the proportion of ICU days occurring while a given hospital had an ICU occupancy rate ≥ 90%. PRINCIPAL FINDINGS: After adjusting for HRR, hospitals in the top tercile of Black patient shares had higher ICU strain shares than did hospitals in the bottom tercile (30% vs. 22%, p < 0.05) and received greater PRF amounts per bed ($118,864 vs. $92,407, p < 0.05). Having high versus low ICU occupancy relative to pre-pandemic capacity was associated with a modest increase in PRF amounts per bed after adjusting for HRR ($107,319 vs. $96,627, p < 0.05), but there were no statistically significant differences when comparing hospitals with high versus low ICU occupancy relative to contemporaneous capacity. CONCLUSIONS: Hospitals with large Black patient shares experienced greater strain during the pandemic. Although these hospitals received more federal relief, funding was not targeted overall toward hospitals with high ICU occupancy rates.
Assuntos
COVID-19 , Pandemias , Idoso , Humanos , Estados Unidos , Número de Leitos em Hospital , Estudos Transversais , Medicare , Unidades de Terapia Intensiva , HospitaisRESUMO
BACKGROUND: The COVID-19 pandemic has provided an unprecedented scenario to deepen knowledge of surge capacity (SC), assessment of which remains a challenge. This study reports a large-scale experience of a multi-hospital network, with the aim of evaluating the characteristics of different hospitals involved in the response and of measuring a real-time SC based on two complementary modalities (actual, base) referring to the intensive care units (ICU). METHODS: Data analysis referred to two consecutive pandemic waves (March-December 2020). Regarding SC, two different levels of analysis are considered: single hospital category (referring to a six-level categorization based on the number of hospital beds) and multi-hospital wide (referring to the response of the entire hospital network). RESULTS: During the period of 114 days, the analysis revealed a key role of the biggest hospitals (>Category-4) in terms of involvement in the pandemic response. In terms of SC, Category-4 hospitals showed the highest mean SC values, irrespective of the calculation method and level of analysis. At the multi-hospital level, the analysis revealed an overall ICU-SC (base) of 84.4% and an ICU-SC (actual) of 106.5%. CONCLUSIONS: The results provide benchmarks to better understand ICU hospital response capacity, highlighting the need for a more flexible approach to SC definition.
Assuntos
COVID-19 , Capacidade de Resposta ante Emergências , Humanos , Pandemias , Número de Leitos em Hospital , Unidades de Terapia Intensiva , HospitaisRESUMO
OBJECTIVES: Disease-modifying therapies in development for Huntington's disease (HD) may require specialised administration and additional resource capacity. We sought to understand current and future capacity for HD management in Canada considering the possible introduction of an intrathecal (IT) disease-modifying treatment (DMT). DESIGN, SETTING AND PARTICIPANTS: Using a case study, mixed methods framework, online surveys followed by semistructured interviews were conducted in late 2020 and early 2021. Neurologists from Canadian HD (n=16) and community (n=11) centres and social workers (n=16) were invited to complete online surveys assessing current HD management and potential capacity to support administration of an IT DMT. OUTCOME MEASURES: Survey responses, anticipated demand and assumed resource requirements were modelled to reveal capacity to treat (ie, % of eligible patients) by centre. Resource bottlenecks and incremental support required (full-time equivalent, FTE) were also determined. RESULTS: Neurologists from 15/16 HD centres and 5/11 community centres, plus 16/16 social workers participated. HD centres manage 94% of patients with HD currently seeking care in Canada, however, only 20% of IT DMT-eligible patients are currently seen by neurologists. One-third of centres have no access to nursing support. The average national incremental nursing, room, neurologist and social worker support required to provide IT DMT to all eligible patients is 0.73, 0.36, 0.30 and 0.21 FTE per HD centre, respectively. At peak demand, current capacity would support the treatment of 6% of IT DMT-eligible patients. If frequency of administration is halved, capacity for IT-DMT administration only increases to 11%. CONCLUSIONS: In Canada, there is little to no capacity to support the administration of an IT DMT for HD. Current inequitable and inadequate resourcing will require solutions that consider regional gaps and patient needs.
