Contribuições do núcleo interno de regulação para a segurança do paciente / Contributions of the regulatory inner core to patient safety / Aportes del núcleo interno normativo para la seguridad del paciente

Objetivo: identificar as contribuições do Núcleo Interno de Regulação para a segurança do paciente. Método: pesquisa qualitativa desenvolvida entre agosto a outubro de 2020. Foram realizadas entrevistas audiogravadas junto a 13 profissionais que atuavam nas enfermarias, no pronto-socorro, na gestão da qualidade e no Núcleo Interno de Regulação. Os dados foram analisados com o auxílio do software IraMuteq® e as etapas propostas por Creswell. Resultados: os achados revelaram que o Núcleo Interno de Regulação contribui para a segurança do paciente, entornando as metas instituídas: comunicação efetiva; identificação do paciente; redução do risco de infecções associadas aos cuidados em saúde - a pandemia de COVID-19 foi apresentada como um importante dado; segurança para cirurgia, uma vez que agiliza o acesso ao hospital para procedimento cirúrgico; e diminuição de filas de espera. Ainda, contribui para prevenir complicações decorrentes de quedas, pois o paciente pode ser alocado com agilidade num leito seguro. Por fim, o enfermeiro, no seu papel de liderança do serviço e como elo para a gerência do cuidado seguro, também se mostrou importante. Conclusão: embora algumas fragilidades tenham sido detectadas, a contribuição do Núcleo Interno de Regulação se sobressai por fortalecer as metas da segurança do paciente. Em razão disso, reafirma-se a importância de fluxos regulatórios na perspectiva de gestão de leitos hospitalares, assim como os preceitos da segurança do paciente almejada pelos gestores. Não obstante, o enfermeiro atua como elo entre esses dois cenários.(AU)

Objective: to identify the contributions of the Internal Regulation Core to patient safety. Method: qualitative research carried out between August and October 2020. Audio-recorded interviews were carried out with 13 professionals who worked in the wards, in the emergency room, in quality management and in the Internal Regulation Center. Data were analyzed using the IraMuteq® software and the steps proposed by Creswell. Results: the findings revealed that the Internal Regulation Nucleus contributes to patient safety, bypassing the established goals: effective communication; patient identification; reduction in the risk of infections associated with health care - the COVID-19 pandemic was presented as an important fact; safety for surgery, as it speeds up access to the hospital for a surgical procedure; and reduction of queues. It also helps to prevent complications resulting from falls, as the patient can be quickly allocated to a safe bed. Finally, the nurse, in his role as a leader in the service and as a link in the management of safe care, also proved to be important. Conclusion: although some weaknesses were detected, the contribution of the Internal Regulation Center stands out for strengthening patient safety goals. As a result, the importance of regulatory flows from the perspective of hospital bed management is reaffirmed, as well as the precepts of patient safety desired by managers. Nevertheless, the nurse acts as a link between these two scenarios.(AU)

Objetivo: identificar los aportes del Núcleo Interno Normativo para la seguridad del paciente. Método: investigación cualitativa desarrollada de agosto a octubre de 2020. Se realizaron entrevistas audiograbadas a 13 profesionales que trabajaban en las salas, en el servicio de urgencias, en la Gestión de Calidad y en el Núcleo Interno Normativo. Los datos fueron analizados con la ayuda del software IraMuteq® y los pasos propuestos por Creswell. Resultados: los hallazgos revelaron que el Núcleo Interno Normativo contribuye a la seguridad del paciente, desbordando los objetivos establecidos: comunicación eficaz; identificación del paciente; reducción del riesgo de infecciones asociadas a la asistencia sanitaria - la pandemia COVID-19 se presentó como un dato importante; en la seguridad para la cirugía, ya que agiliza el acceso al hospital para procedimientos quirúrgicos y, en la reducción de las colas de espera. También contribuye a la prevención de complicaciones derivadas de caídas, ya que el paciente puede ser ubicado rápidamente en una cama segura. Y, finalmente, el enfermero, en su papel de líder en el servicio, como enlace en la gestión del cuidado seguro, también resultó ser un resultado importante. Conclusión: aunque se detectaron algunas debilidades, se destaca la contribución del Núcleo Interno Normativo en el fortalecimiento de las metas de seguridad del paciente. Como resultado, reafirma la importancia de los flujos normativos desde la perspectiva de la gestión de camas hospitalarias, así como los preceptos de seguridad del paciente deseados por los gestores. Sin embargo, la enfermera actúa como enlace entre estos dos escenarios.(AU)

Hospital Factors, Performance on Process Measures After Transient Ischemic Attack, and 90-Day Ischemic Stroke Incidence.

Background and Purpose: We determined the association between hospital factors, performance on transient ischemic attack (TIA) process measures, and 90-day ischemic stroke incidence. Methods: Longitudinal analysis of retrospectively obtained data on 9168 veterans ≥18 years with TIA presenting to the emergency department or inpatient unit at 69 Veterans Affairs hospitals with ≥10 eligible patients per year in fiscal years 2015 to 2018. Process measures were high/moderate potency statin within 7 days of discharge, antithrombotic by day 2, and hypertension control (<140/90 mm Hg) at 90 days. The outcome was 90-day stroke incidence. Results: During the 4-year study period, hospitals significantly increased statin use (adjusted odds ratio [aOR] per 1-year increase, 1.24 [95% CI, 1.17­1.32]; P<0.001), whereas neither hypertension control (P=0.44) nor antithrombotic use (P=0.82) improved over time. Hospitals that admitted a higher proportion of TIA patients versus emergency department discharge had significantly greater use of statins (aOR per 10-percentage point increase in the proportion of TIA patients admitted, 1.09 [1.03­1.16]; P=0.003) and antithrombotics (aOR per 10-percentage point increase in TIA patients admitted, 1.14 [1.06­1.23]; P<0.001). Hospitals with higher emergency physician staffing and lower TIA patient volume had greater use of antithrombotics (aOR per 1 full-time physician increase, 1.05 [1.01­1.08]; P=0.008 and aOR per 10-patient decrease in volume, 1.09 [1.01­1.16]; P=0.02). Higher emergency physician staffing was associated with lower 90-day stroke incidence (aOR per 1 full-time physician increase, 0.96 [0.92­0.99]; P=0.02) but other hospital factors were not. Conclusions: Hospitals admitting higher percentages of TIA patients and having higher emergency physician staffing have greater performance on select guideline-concordant process measures for TIA. Higher emergency physician staffing was associated with improved outcomes 90 days after TIA.

Burden of pneumococcal pneumonia requiring ICU admission in France: 1-year prognosis, resources use, and costs.

BACKGROUND: Community-acquired pneumonia (CAP), especially pneumococcal CAP (P-CAP), is associated with a heavy burden of illness as evidenced by high rates of intensive care unit (ICU) admission, mortality, and costs. Although well-defined acutely, determinants influencing long-term burden are less known. This study assessed determinants of 28-day and 1-year mortality and costs among P-CAP patients admitted in ICUs. METHODS: Data regarding all hospital and ICU stays in France in 2014 were extracted from the French healthcare administrative database. All patients admitted in the ICU with a pneumonia diagnosis were included, except those hospitalized for pneumonia within the previous 3 months. The pneumococcal etiology and comorbidities were captured. All hospital stays were included in the cost analysis. Comorbidities and other factors effect on the 28-day and 1-year mortality were assessed using a Cox regression model. Factors associated with increased costs were identified using log-linear regression models. RESULTS: Among 182,858 patients hospitalized for CAP in France for 1 year, 10,587 (5.8%) had a P-CAP, among whom 1665 (15.7%) required ICU admission. The in-hospital mortality reached 22.8% at day 28 and 32.3% at 1 year. The mortality risk increased with age > 54 years, malignancies (hazard ratio (HR) 1.54, 95% CI [1.23-1.94], p = 0.0002), liver diseases (HR 2.08, 95% CI [1.61-2.69], p < 0.0001), and the illness severity at ICU admission. Compared with non-ICU-admitted patients, ICU survivors remained at higher risk of 1-year mortality. Within the following year, 38.2% (516/1350) of the 28-day survivors required at least another hospital stay, mostly for respiratory diseases. The mean cost of the initial stay was €19,008 for all patients and €11,637 for subsequent hospital stays within 1 year. One-year costs were influenced by age (lower in patients > 75 years old, p = 0.008), chronic cardiac (+ 11% [0.02-0.19], p = 0.019), and respiratory diseases (+ 11% [0.03-0.18], p = 0.006). CONCLUSIONS: P-CAP in ICU-admitted patients was associated with a heavy burden of mortality and costs at one year. Older age was associated with both early and 1-year increased mortality. Malignant and chronic liver diseases were associated with increased mortality, whereas chronic cardiac failure and chronic respiratory disease with increased costs. TRIAL REGISTRATION: N/A (study on existing database).

The efficiency in the ordinary hospital bed management in Italy: An in-depth analysis of intensive care unit in the areas affected by COVID-19 before the outbreak.

Since the end of February 2020 a severe diffusion of COVID-19 has affected Italy and in particular its northern regions, resulting in a high demand of hospitalizations in particular in the intensive care units (ICUs). Hospitals are suffering the high degree of patients to be treated for respiratory diseases and the majority of the health structures, especially in the north of Italy, are or are at risk of saturation. Therefore, the question whether and to what extent the reduction of hospital beds occurred in the past years has biased the management of the emergency has come to the front in the public debate. In our opinion, to start a robust analysis it is necessary to consider the Italian health system capacity prior to the emergency. Therefore, the aim of this study is to analyse the availability of hospital beds across the country as well as to determine their management in terms of complexity and performance of cases treated at regional level. The results of this study underlines that, despite the reduction of beds for the majority of the hospital wards, ICUs availabilities did not change between 2010 and 2017. Moreover, this study confirms that the majority of the Italian regions have a routinely efficient management of their facilities allowing hospitals to treat patients without the risk of having an overabundance of patients and a scarcity of beds. In fact, this analysis shows that, in normal situations, the management of hospital and ICU beds has no critical levels.

Social Determinants of Hallway Bed Use.

INTRODUCTION: Hallway beds in the emergency department (ED) produce lower patient satisfaction and inferior care. We sought to determine whether socioeconomic factors influence which visits are assigned to hallway beds, independent of clinical characteristics at triage. METHODS: We studied 332,919 visits, across 189,326 patients, to two academic EDs from 2013-2016. We estimated a logistic model of hallway bed assignment, conditioning on payor, demographics, triage acuity, chief complaint, patient visit frequency, and ED volume. Because payor is not generally known at the time of triage, we interpreted it as a proxy for other observable characteristics that may influence bed assignment. We estimated a Cox proportional hazards model of hallway bed assignment on length of stay. RESULTS: Median patient age was 53. 54.0% of visits were by women. 42.1% of visits were paid primarily by private payors, 37.1% by Medicare, and 20.7% by Medicaid. A total of 16.2% of visits were assigned to hallway beds. Hallway bed assignment was more likely for frequent ED visitors, for lower acuity presentations, and for psychiatric, substance use, and musculoskeletal chief complaints, which were more common among visits paid primarily by Medicaid. In a logistic model controlling for these factors, as well as for other patient demographics and for the volume of recent ED arrivals, Medicaid status was nevertheless associated with 22% greater odds of assignment to a hallway bed (odds ratio 1.22, [95% confidence interval, CI, 1.18-1.26]), compared to private insurance. Visits assigned to hallway beds had longer lengths of stay than roomed visits of comparable acuity (hazard ratio for departure 0.91 [95% CI, 0.90-0.92]). CONCLUSION: We find evidence of social determinants of hallway bed use, likely involving epidemiologic, clinical, and operational factors. Even after accounting for different distributions of chief complaints and for more frequent ED use by the Medicaid population, as well as for other visit characteristics known at the time of triage, visits paid primarily by Medicaid retain a disproportionate association with hallway bed assignment. Further research is needed to eliminate potential bias in the use of hallway beds. [West J Emerg Med. 2020;21(4)949-958.].

Industry-Wide Survey of Academic Anesthesiology Departments Provides Up-to-Date Benchmarking Data on Surgical Anesthesia Productivity.

BACKGROUND: Benchmarking group surgical anesthesia productivity continues to be an important but challenging goal for anesthesiology groups. Benchmarking is important because it provides objective data to evaluate staffing needs and costs, identify potential operating room management decisions that could reduce costs or improve efficiency, and support ongoing negotiations and discussions with health system leadership. Unfortunately, good and meaningful benchmarking data are not readily available. Therefore, a survey of academic anesthesiology departments was done to provide current benchmarking data. METHODS: A survey of members of the Society of Academic Associations of Anesthesiology and Perioperative Medicine (SAAAPM) was performed. The survey collected data by facility and included type of facility, number and type of staff and anesthetizing sites each weekday, and the billed American Society of Anesthesiologists (ASA) units and number of cases over 12 months. The facility types included academic medical center (AMC), community hospital (Community), children's hospital (Children), and ambulatory surgical center (ASC). All anesthesia care billed using ASA units were included, except for obstetric anesthesia. Any care not billed or billed using relative value units (RVUs) were excluded. Percentage of nonoperating room anesthetizing sites, staffing ratio, and surgical anesthesia productivity measurements "per case" and "per site" were calculated. RESULTS: Of the 135 society members, 63 submitted complete surveys for 140 facilities (69 AMC, 26 Community, 7 Children, and 38 ASC). In the survey, overall median productivity for AMC and Children was similar (12,592 and 12,364 total ASA units per anesthetizing site), while the ASC had the lowest median overall productivity (8911 total ASA units per anesthetizing site). By size of facility, in the survey, the smaller facilities (<10 sites, ASC or non-ASC) had lower median overall productivity as compared to larger facilities. For AMC and Children, >20% of anesthetizing sites were nonoperating room anesthetizing sites. Anesthesiology residents worked primarily in AMC and Children. In ASC and Community, residents worked only in 18% and 35% of facilities, respectively. More than half the AMCs reported at least 1 break certified nurse anesthetist (CRNA) each day. CONCLUSIONS: To make data-driven decisions on clinical productivity, anesthesiology leaders need to be able to make meaningful comparisons at the facility level. For a group that provides care in multiple facilities, one can make internal comparisons among facilities and follow measurements over time. It is valuable for leaders to also be compare their facilities with industry-wide measurements, in other words, benchmark their facilities. These results provide benchmarking data for academic anesthesiology departments.

Coronavírus: como estão os atendimentos de outras doenças nos hospitais?

Saiba mais em www.saopaulo.sp.gov.br/coronavirus

Recomendações técnicas para a configuração de uma Unidade de Saúde de Emergência especializada para o tratamento de Síndrome Respiratória Aguda Grave (SRAG) / Recomendaciones técnicas para configuración de un Equipo Médico de Emergencia especializado de tratamiento de Infección Respiratoria Aguda Grave (IRAG) / Technical recommendations for the configuration of a specialized Emergency Medical Team for the treatment of Serious Acute Respiratory Infection (SARI)

Oferecer atendimento de saúde especializado para o tratamento de pacientes críticos com síndrome respiratória aguda grave (SRAG), encaminhados principalmente de unidades de saúde onde a capacidade das unidades de terapia intensiva tem sido sobrecarregada pelo alto volume de pacientes. A estrutura flexível de uma Equipe de Saúde de Emergência para SRAG também permite a configuração de leitos para tartar pacientes gravemente doentes que precisem de oxigenoterapia. Equipes de Saúde de Emergência para SRAG utilizam estruturas portáteis que variam de tendas a contêineres. Eles também podem ser implantados dentro de estruturas fechadas alternativas usando módulos pré-fabricados. Unidades de Saúde de Emergência para SRAG podem oferecer até 30 leitos para pacientes críticos ou gravemente doentes (10 leitos para casos críticos com suspeita de COVID-19, 10 leitos para casos críticos com COVID-19 confirmada, e 10 leitos para casos graves). Unidades de Saúde de Emergência para SRAG possuem um centro de comando para a coordenação das operações do dia a dia. Esse é um sistema modular que pode ser expandido conforme necessário, adicionando unidades de 10 leitos, o que aumenta sua resposta conforme as necessidades e os recursos existentes.

Ofrecer atención médica especializada para el tratamiento de pacientes críticos con síndrome respiratorio agudo severo (SRAS), referidos principalmente desde unidades de salud donde la capacidad de las unidades de cuidados intensivos ha sido abrumada por el alto volumen de pacientes. La estructura flexible de un Equipo de Salud de Emergencia para SRAG también permite la configuración de camas para tratar pacientes críticos que necesitan oxigenoterapia. Los equipos de salud de emergencia para SRAG utilizan estructuras portátiles que van desde carpas hasta contenedores. También se pueden implementar dentro de estructuras cerradas alternativas utilizando módulos prefabricados. Las Unidades de Salud de Emergencia para SRAG pueden ofrecer hasta 30 camas para pacientes críticos o enfermos críticos (10 camas para casos críticos con sospecha de COVID-19, 10 camas para casos críticos con COVID-19 confirmado y 10 camas para casos graves). Las Unidades de Salud de Emergencia para SRAG tienen un centro de comando para la coordinación de las operaciones diarias. Este es un sistema modular que se puede ampliar según sea necesario agregando unidades de 10 camas, lo que aumenta su respuesta de acuerdo con las necesidades y recursos existentes.