Nota Informativa N. 3/2021 - GSM - 18351 - Serviços hospitalares de referência: fluxo processual para implantacao de leitos em saúde mental em hospital geral / Informative Note N. 3/2021 - GSM - 18351 - Reference hospital services: procedural flow for the implementation of mental health beds in a general hospital

Este documento visa apoiar as Regionais de Saúde do Estado de Goiás, junto aos Apoiadores Regionais de Saúde Mental e Populações Específicas, no processo de implantação e habilitação de leitos em saúde mental em hospital geral

This document aims to support the Health Regionals of the State of Goiás, together with the Regional Health Supporters Mental Health and Specific Populations, in the process of implementing and enabling mental health beds in a hospital general

[ENCOVUR-2 study: Analysis of the protocols of action, management and availability of intensive care resources for patients with severe COVID-19 attended in spanish Emergency Departments during the first peak of the pandemic.] / Análisis de los protocolos y recursos de cuidados críticos para pacientes con COVID-19 atendidos en Servicios de Urgencias españoles en la primera ola pandémica.

OBJECTIVE: During the first wave of the COVID-19 pandemic, the availability of a critical care bed was insufficient. The aim of this work was to evaluate the presence of protocols, management in the emergency department (ED) and the availability of intensive care unit (ICU) beds for severe COVID-19 patients attended in Spanish hospital EDs during the first peak of the 2020 pandemic. METHODS: Questionnaire collecting data regarding ED care in March-April 2020 aimed at all Spanish public health care EDs. The respondents were the Chiefs of EDs. The variables of interest were: 1) Presence and of compliance with ED protocols for decision making and adequacy of therapeutic effort; 2) management of COVID-19 patients with non-invasive mechanical ventilation (NIMV) or high flow nasal cannula (HFNC) in the ED; and 3) ICU bed accessibility for ED patients. The results were compared based on the characteristics of the hospital, impact of the pandemic and autonomous community. A descriptive and inferential analysis of the variables studied was performed using the chi-square test and analysis of variance. RESULTS: A total of 246 questionnaires (89%) were received. Protocols were available in 136 EDs (57.1%). Globally, the protocol was applied in >95% of the EDs, although this was less frequent (76%) in EDs with high impact of the pandemic. 53% of the EDs managed patients with severe COVID-19 with NIMV/HFNC in the ED itself, and 19.4% suffered from lack of ICU beds. The lack of ICU beds for severe COVID-19 patients in the ED significantly differed among periods, and more marked in hospitals with ICU and with high pandemic impact. CONCLUSIONS: It is needed to generalize the implementation of protocols in EDs for the management of severe COVID-19 patients and improve the capacity of the ICUs to homogeneously adjust to the needs.

OBJETIVO: Durante la primera oleada de la pandemia por COVID-19 la disponibilidad de una cama de críticos fue insuficiente. El objetivo de este estudio fue evaluar la existencia de protocolos, el manejo en Urgencias y la disponibilidad de camas en las Unidades de Cuidados Intensivos (UCI) para pacientes graves por COVID-19 atendidos en los Servicios de Urgencias Hospitalarias (SUH) españoles durante la primera ola pandémica de 2020. METODOS: Se realizó una encuesta que recabó datos referentes a marzo-abril de 2020 de los SUH españoles del Sistema Público de Salud. El encuestado fue el responsable del SUH. Las variables de interés fueron: 1) Existencia y grado de cumplimiento en el SUH de los protocolos para la toma de decisiones y la adecuación del esfuerzo terapéutico; 2) manejo en el SUH de pacientes con COVID-19 mediante ventilación mecánica no invasiva (VMNI) u oxigenoterapia con cánula nasal de alto flujo (CNAF); y 3) accesibilidad a una cama de UCI. Se compararon los resultados según características hospitalarias, impacto de la pandemia y comunidad autónoma. Se realizó un análisis descriptivo e inferencial de las variables estudiadas mediante test de ji cuadrado y análisis de la varianza. RESULTADOS: Se recibieron 246 encuestas (89%) y 136 SUH (57,1%) dispusieron de protocolo propio. El 95% de los SUH aplicaron el protocolo siempre o con alguna excepción, aunque significativamente menos (76%) en los de mayor impacto pandémico. El 53% de los SUH manejaron pacientes graves por COVID-19 con VMNI/CNAF. El 19,4% de los SUH tuvo insuficiencia de camas de críticos (la mayor parte del tiempo o con cierta frecuencia), mayor en los SUH con alto impacto pandémico y con diferencias estadísticamente significativas entre periodos. CONCLUSIONES: Debería generalizarse la adopción de protocolos para el manejo de pacientes graves por COVID-19 y ajustar la capacidad de las UCI a las necesidades de cada momento de forma homogénea.

Software development for emergency bed management.

OBJECTIVE: to describe the process of developing a software for emergency bed management. METHODS: a participatory research based on User-Centered Design in four stages: 1) definition of requirements and structure elaboration; 2) generation of alternatives and prototyping; 3) tests; 4) implementation. Seminars were held with health professionals between May 21, 2018 and May 31, 2019 for the preparation and assessment of software content. RESULTS: the software CuidarTech KRONOS was developed for emergency bed management using the kanban methodology. FINAL CONSIDERATIONS: this software will assist professionals' and managers' decision-making providing more reliable data to enable the improvement of work processes and the quality of patient care. Developing a bed management software is innovative in the health field, and no articles were found describing this methodology.

Rapid response to COVID-19, escalation and de-escalation strategies to match surge capacity of Intensive Care beds to a large scale epidemic. / Respuesta rápida a COVID-19, estrategias de escalada y desescalada para ajustar la capacidad suplementaria de camas de UVI a una epidemia de gran magnitud.

BACKGROUND: A major challenge during the COVID-19 outbreak is the sudden increase in ICU bed occupancy rate. In this article we reviewed the strategies of escalation and de-escalation put in place at a large university hospital in Madrid during the COVID-19 outbreak, in order to meet the growing demand of ICU beds. MATERIALS AND METHODS: The data displayed originated from the hospital information system and the hospital contingency plan. RESULTS: The COVID-19 outbreak produced a surge of ICU patients which saturated the available ICU capacity within a few days. A total of four new ICUs had to be opened in order to accommodate all necessary new ICU admissions. Management challenges included infrastructure, material allocation and ICU staffing. Through the strategies put in place the hospital was able to generate a surge capacity of ICU beds of 340%, meet all requirements and also maintain minimal surgical activity. CONCLUSIONS: Hospital surge capacity is to date hardly quantifiable and often has to face physical limitations (material, personnel, spaces). However an extremely flexible and adaptable management strategy can help to overcome some of these limitations and stretch the system capacities during times of extreme need.

Impact of Hospital Bed Shortages on the Containment of COVID-19 in Wuhan.

The global outbreak of COVID-19 has caused worrying concern amongst the public and health authorities. The first and foremost problem that many countries face during the outbreak is a shortage of medical resources. In order to investigate the impact of a shortage of hospital beds on the COVID-19 outbreak, we formulated a piecewise smooth model for describing the limitation of hospital beds. We parameterized the model while using data on the cumulative numbers of confirmed cases, recovered cases, and deaths in Wuhan city from 10 January to 12 April 2020. The results showed that, even with strong prevention and control measures in Wuhan, slowing down the supply rate, reducing the maximum capacity, and delaying the supply time of hospital beds all aggravated the outbreak severity by magnifying the cumulative numbers of confirmed cases and deaths, lengthening the end time of the pandemic, enlarging the value of the effective reproduction number during the outbreak, and postponing the time when the threshold value was reduced to 1. Our results demonstrated that establishment of the Huoshenshan, Leishenshan, and Fangcang shelter hospitals avoided 22,786 people from being infected and saved 6524 lives. Furthermore, the intervention of supplying hospital beds avoided infections in 362,360 people and saved the lives of 274,591 persons. This confirmed that the quick establishment of the Huoshenshan, Leishenshan Hospitals, and Fangcang shelter hospitals, and the designation of other hospitals for COVID-19 patients played important roles in containing the outbreak in Wuhan.

A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak.

Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units would be required if the number of hospitalizations was expected to increase during an epidemic outbreak. This assessment proposes a two-step methodology for hospital beds vacancy and reallocation during the COVID-19 pandemic. The framework determines the production capacity of hospitals through data envelopment analysis and incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. As a result, we have a set of inefficient healthcare units presenting less complex bed slacks to be reduced, that is, to be allocated for patients presenting with more severe conditions. The first results in this work, in collaboration with state and municipal administrations in Brazil, report 3772 beds feasible to be evacuated by 64% of the analyzed health units, of which more than 82% are moderate complexity evacuations. The proposed assessment and methodology can provide a direction for governments and policymakers to develop strategies based on a robust quantitative production capacity measure.

Forecast UTI: application for predicting intensive care unit beds in the context of the COVID-19 pandemic. / Forecast UTI: aplicativo para previsão de leitos de unidades de terapia intensiva no contexto da pandemia de COVID-19.

In view of the need to manage and forecast the number of Intensive Care Unit (ICU) beds for critically ill COVID-19 patients, the Forecast UTI open access application was developed to enable hospital indicator monitoring based on past health data and the temporal dynamics of the Coronavirus epidemic. Forecast UTI also enables short-term forecasts of the number of beds occupied daily by COVID-19 patients and possible care scenarios to be established. This article presents the functions, mode of access and examples of uses of Forecast UTI, a computational tool intended to assist managers of public and private hospitals within the Brazilian National Health System by supporting quick, strategic and efficient decision-making.

Frente à necessidade de gerenciamento e previsão do número de leitos de unidades de terapia intensiva (UTIs) para pacientes graves de COVID-19, foi desenvolvido o Forecast UTI, um aplicativo de livre acesso, que permite o monitoramento de indicadores hospitalares com base em dados históricos do serviço de saúde e na dinâmica temporal da epidemia por coronavírus. O Forecast UTI também possibilita realizar previsões de curto prazo do número de leitos ocupados pela doença diariamente, e estabelecer possíveis cenários de atendimento. Este artigo apresenta as funções, modo de acesso e exemplos de uso do Forecast UTI, uma ferramenta computacional destinada a auxiliar gestores de hospitais da rede pública e privada do Sistema Único de Saúde (SUS) no subsídio à tomada de decisão, de forma rápida, estratégica e eficiente.

En vista de la necesidad de administrar y prever el número de camas en la Unidad de Cuidados Intensivos para pacientes graves de COVID-19, se desarrolló Forecast UTI: una aplicación de acceso abierto que permite el monitoreo de indicadores hospitalarios basados en datos históricos del servicio salud y la dinámica temporal de esta epidemia por coronavirus También es posible hacer pronósticos a corto plazo del número de camas ocupadas diariamente por la enfermedad y establecer posibles escenarios de atención. Este artículo presenta las funciones, el modo de acceso y ejemplos de uso de Forecast UTI, una herramienta computacional capaz de ayudar a los gestores de hospitales públicos y privados en el Sistema Único de Salud, ya que apoyan la toma de decisiones de manera rápida, estratégica y eficiente.

The Discharge Lounge: A Patient Flow Process Solution.

BACKGROUND: Patient flow, from emergency department admission through to discharge, influences hospital overcrowding. We aimed to improve patient flow by increasing discharge lounge (DL) usage. LOCAL PROBLEM: Patients need to receive a continuum of nursing care to encourage compliance with follow-up care after discharge from the acute care setting. METHODS: Baseline data revealed inefficient use of the DL. We targeted the medical-surgical unit with the lowest DL use and trialed interventions over sequential Plan-Do-Study-Act cycles. INTERVENTIONS: After surveying the nursing staff, we assessed the influence of 3 interventions on DL usage: educating staff on patient eligibility, engaging a recruitment scout, and displaying a visual cue notifying staff when a patient's discharge order was written. RESULTS: The unit's average DL use increased from 18% to 36%, while hospital overcrowding and discharge turnaround time decreased. CONCLUSION: The DL is an effective tool to improve patient flow and decrease hospital overcrowding.

Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy.

COVID-19 is a worldwide emergency since it has rapidly spread from China to almost all the countries worldwide. Italy has been one of the most affected countries after China. North Italian regions, such as Lombardia and Veneto, had an abnormally large number of cases. COVID-19 patients management requires availability of sufficiently large number of Intensive Care Units (ICUs) beds. Resources shortening is a critical issue when the number of COVID-19 severe cases are higher than the available resources. This is also the case at a regional scale. We analysed Italian data at regional level with the aim to: (i) support health and government decision-makers in gathering rapid and efficient decisions on increasing health structures capacities (in terms of ICU slots) and (ii) define a geographic model to plan emergency and future COVID-19 patients management using reallocating them among health structures. Finally, we retain that the here proposed model can be also used in other countries.

Ethical aspects of the COVID-19 crisis: How to deal with an overwhelming shortage of acute beds.

The current outbreak of SARS-CoV-2 has and continues to put huge pressure on intensive care units (ICUs) worldwide. Many patients with COVID-19 require some form of respiratory support and often have prolonged ICU stays, which results in a critical shortage of ICU beds. It is therefore not always physically possible to treat all the patients who require intensive care, raising major ethical dilemmas related to which patients should benefit from the limited resources and which should not. Here we consider some of the approaches to the acute shortages seen during this and other epidemics, including some guidelines for triaging ICU admissions and treatments.

The Inpatient Discharge Lounge as a Potential Mechanism to Mitigate Emergency Department Boarding and Crowding.

Delayed access to inpatient beds for admitted patients contributes significantly to emergency department (ED) boarding and crowding, which have been associated with deleterious patient safety effects. To expedite inpatient bed availability, some hospitals have implemented discharge lounges, allowing discharged patients to depart their inpatient rooms while awaiting completion of the discharge process or transportation. This conceptual article synthesizes the evidence related to discharge lounge implementation practices and outcomes. Using a conceptual synthesis approach, we reviewed the medical and gray literature related to discharge lounges by querying PubMed, Google Scholar, and Google and undertaking backward reference searching. We screened for articles either providing detailed accounts of discharge lounge implementations or offering conceptual analysis on the subject. Most of the evidence we identified was in the gray literature, with only 3 peer-reviewed articles focusing on discharge lounge implementations. Articles generally encompassed single-site descriptive case studies or expert opinions. Significant heterogeneity exists in discharge lounge objectives, features, and apparent influence on patient flow. Although common barriers to discharge lounge performance have been documented, including underuse and care team objections, limited generalizable solutions are offered. Overall, discharge lounges are widely endorsed as a mechanism to accelerate access to inpatient beds, yet the limited available evidence indicates wide variation in design and performance. Further rigorous investigation is required to identify the circumstances under which discharge lounges should be deployed, and how discharge lounges should be designed to maximize their effect on hospitalwide patient flow, ED boarding and crowding, and other targeted outcomes.

Bed Tracking Systems: Do They Help Address Challenges in Finding Available Inpatient Beds?

OBJECTIVE: Locating open beds in hospital and residential mental health and substance use disorder treatment settings has been an ongoing challenge in the United States. The inability to find open beds has contributed to long emergency department wait times and missed opportunities to engage patients in treatment. Increasingly, states are creating online bed tracking systems to improve access to timely information about bed availability. This study aimed to document how states are implementing bed tracking systems, their successes and challenges, and lessons learned. METHODS: A review was conducted of the published and gray literature available between 2008 and 2018, and 13 interviews were conducted with 18 stakeholders in five states (Connecticut, Iowa, Kansas, Massachusetts, and Virginia). RESULTS: The authors identified 17 states with bed tracking systems, of which five make information available to consumers. Most interviewees reported that the bed tracking systems were improving the ability of providers and consumers to more readily locate openings. Challenges identified included that some hospitals will not participate in bed registries, data on bed availability is sometimes not timely enough, bed registries do not provide enough detail on whether the facility is capable of meeting a particular patient's needs, providers have not been coached to use the bed registry system and continue existing practices, and states that provide information to the public have not publicized the registry's existence. CONCLUSIONS: Bed tracking systems offer promise, but more needs to be done to understand how to realize their potential and to more widely implement lessons learned.

Common challenges managing bed and staff availability on labor and delivery units in the United States: A qualitative analysis.

BACKGROUND: Managers of labor and delivery units need to ensure that their limited supply of beds and nursing staff are adequately available, despite uncertainty with respect to patient needs. The ability to address this challenge has been associated with patient outcomes; however, best practices have not been defined. METHODS: We conducted a secondary analysis of 96 interviews with nurse and physician managers from 48 labor and delivery units across the United States. Included units represented a diverse range of characteristics, but skewed toward higher volume teaching hospitals. The prior study scored management practice based on their proactiveness (ability to mitigate challenges before they occur). Based on emerging themes, we identified common challenges in managing bed and staff availability and performed an analysis of positive deviants to identify an additional criterion for effective management performance. RESULTS: We identified four key challenges common to all labor and delivery units, (1) scheduling planned cases, (2) tracking patient flow, (3) monitoring bed and staff availability in the moment, and (4) adjusting bed and staff availability in the moment. We also identified "systematicness" (ability to address challenges in a consistent and reliable manner) as an emerging criterion for effective management. We observed that being proactive and systematic represented distinct characteristics, and units with both proactive and systematic practices appeared best positioned to effectively manage limited beds and staffing. DISCUSSION: Labor and delivery unit managers should distinctly assess both the proactiveness and systematicness of their existing management practices and consider how their practices could be modified to improve care.

Protecting patients: pressure ulcer prevention.

John Tingle, Reader in Health Law, Nottingham Trent University, continues his discussion of Healthcare Improvement Scotland patient safety publications and its standards for management of pressure ulcers.

The recent fall in postperinatal mortality in New Zealand and the Safe Sleep programme.

AIM: Postneonatal mortality rates changed very little from 2000 until recently. There has been a decrease in mortality in New Zealand from 2009 to 2015. This study describes an infant Safe Sleep programme and postulates it is the cause for the recent decrease in deaths. METHODS: The Safe Sleep programme involved as follows: a focus on preventing accidental suffocation, a 'blitz' approach to SUDI education, the targeted provision of portable infant Safe Sleep devices (ISSD) and the development of Safe Sleep policy across all district health boards (DHBs). RESULTS: Participation in the education 'blitz' by health professionals exceeded one in 23 live births, distribution of Safe Sleep leaflets exceeded two for every live birth, and over 16 500 ISSDs have been distributed to vulnerable infants. Postperinatal mortality fell 29% from 2009 to 2015 (2.8 to 2.0/1000 live births). The fall has been greatest for Maori and in regions with the most intensive programmes. CONCLUSION: The recent fall in postperinatal mortality has not happened by chance. It is likely that the components of end-stage prevention strategy, a focus on preventing accidental suffocation, the education 'blitz', the targeted supply of ISSDs and strengthened health policy, have all contributed to varying degrees.