RESUMEN
In responding to the COVID-19 pandemic, each country is presented with both opportunities and challenges, some unique and some shared with the global community. It is important to not only recognize, but to embrace them as drivers of the public to the current pandemic success. In this commentary, we discuss the opportunities and challenges that may affect ongoing public health programming in Australia within the current context of epidemiology. COVID-19 within Australia has to date been effectively suppressed through the implementation of nationally coordinated, in which the state delivered public policy, guidelines and practice, and successful establishment of a comprehensive testing, contact tracing, patient isolation and contact quarantine regime combined with national and state social distancing, hygiene etiquette and movement restrictions. However, despite its success to date great challenges lay ahead for future public health policy with the threat of a second wave, or more likely, multiple smaller outbreaks across various population centres. Therefore, policies that aim to balance the twin socioeconomic and health impacts are crucial. The experience of Australia in managing its COVID-19 response can provide a case study for other countries to reshape or adapt their policies and actions in the context of emerging global health crises.
Asunto(s)
COVID-19 , Pandemias , Humanos , Pandemias/prevención & control , Salud Pública , Cuarentena , SARS-CoV-2RESUMEN
OBJECTIVE: To determine the relationship between team dynamics with healthcare coordination and clinical job satisfaction of the community health workers (CHWs). METHODS: A cross-sectional study was conducted among 133 health workers (including doctors, nurses, or midwives) at 21 Commune Health Cent in Quoc Oai District, Vietnam, from July 2015 to May 2017. A self-administered questionnaire consisting of 5-Likert items regarding team dynamics and healthcare coordination clinical work satisfaction was utilised. Descriptive statistics and correlation matrix were applied for seven factors of team dynamic, clinical work satisfaction, and patient care coordination queried by primary care providers. Bayesian model averaging (BMA) was used to identify the predictors of the level of team dynamics and healthcare coordination. RESULTS: The mean score of overall team dynamics among the study participants was 4.08. Clinical work satisfaction and patient care coordination scores among resident physicians were higher than those of attending clinicians; however, the differences were not statistically significant. The results of BMA analysis indicated that team dynamics significantly associated with clinical work satisfaction, and it explains 9% of the total variance in clinical work satisfaction. Team dynamics level was also positively associated with patient care coordination. Patient care coordination was not a significant mediator between team dynamics and clinical work satisfaction. CONCLUSION: Team dynamics is a potential contributor to improving patient care coordination and clinical job satisfaction of CHWs. As no significant correlation between patient care coordination and clinical job satisfaction was observed, to improve team performance, providing conditions that facilitate team building and teamwork should be conducted for CHWs in CHCs.
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Actitud del Personal de Salud , Satisfacción en el Trabajo , Teorema de Bayes , Agentes Comunitarios de Salud , Estudios Transversales , Humanos , Encuestas y CuestionariosRESUMEN
Coping with the COVID-19 pandemic has been painful and no single model for such a purpose is perfect. However, sharing experiences is the best way for countries to learn real-time lessons and adapt to this rapidly changing pandemic. This commentary shares with the international community how an adaptive model of health system organization and responses helped Vietnam to break transmission of coronavirus. We find that an effective model is adaptive to time and context, and mobilizes and engages the wider society. We identify merging of different health system units into Center for Diseases Controls as a health system organization that saved massive resources. The early establishment of a formal committee responding to the pandemic helped unify every public health strategy. The mobilization of different stakeholders and communities added resources and facilitated a synchronous implementation of response strategies, even where those strategies involved significant personal or financial sacrifice. National training on Covid-19 treatment for healthcare professionals across the entire hospital system was useful to expand the health service availability. Quickly published response guidelines helped to activate every level of the health system and involve every sector of society. A strategy of keeping high alert and preemptive action is also essential for coping with the pandemic.
Asunto(s)
Infecciones por Coronavirus/prevención & control , Atención a la Salud/organización & administración , Países en Desarrollo , Control de Infecciones/métodos , Pandemias/prevención & control , Neumonía Viral/prevención & control , Betacoronavirus , COVID-19 , Infecciones por Coronavirus/epidemiología , Atención a la Salud/métodos , Humanos , Neumonía Viral/epidemiología , SARS-CoV-2 , Vietnam/epidemiologíaRESUMEN
The purpose of the study was to investigate sex-specific associations of skipping breakfast and short sleep duration with metabolic syndrome (MetS) and their interaction. We analyzed baseline data of 14,907 men and 14,873 women aged 35-69 years, who participated in the Japan Multi-Institutional Collaborative Cohort Study from 2005. MetS was diagnosed using a modification of the National Cholesterol Education Program Adult Treatment Panel III revised definition (NCEP-R 2005), using body mass index instead of waist circumference. Breakfast consumption was classified into two categories: ≥6 days/week (consumers) or <6 days/week (skippers). Sleep duration was classified into three categories: <6h, 6 to <8 h, and ≥8 h/day. Multivariate logistic regression analysis was performed to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) and examine the presence of interaction. In men, skipping breakfast and short sleep duration were independently associated with an increased prevalence of MetS (OR 1.26, 95%CI 1.12-1.42 and OR 1.28, 95%CI 1.12-1.45, respectively), obesity, and components of MetS. However, no significant interaction was observed between skipping breakfast and short sleep duration. In women, skipping breakfast and short sleep duration were associated with an increased prevalence of obesity, but not with MetS. These findings indicate that breakfast consumption and moderate sleep duration may be associated with a lower risk of MetS, particularly in men.
RESUMEN
A crossbar array architecture employing resistive switching memory (RRAM) as a synaptic element accelerates vector-matrix multiplication in a parallel fashion, enabling energy-efficient pattern recognition. To implement the function of the synapse in the RRAM, multilevel resistance states are required. More importantly, a large on/off ratio of the RRAM should be preferentially obtained to ensure a reasonable margin between each state taking into account the inevitable variability caused by the inherent switching mechanism. The on/off ratio is basically adjusted in two ways by modulating measurement conditions such as compliance current or voltage pulses modulation. The latter technique is not only more suitable for practical systems, but also can achieve multiple states in low current range. However, at the expense of applying a high negative voltage aimed at enlarging the on/off ratio, a breakdown of the RRAM occurs unexpectedly. This stuck-at-short fault of the RRAM adversely affects the recognition process based on reading and judging each column current changed by the multiplication of the input voltage and resistance of the RRAM in the array, degrading the accuracy. To address this challenge, we introduce a boost-factor adjustment technique as a fault-tolerant scheme based on simple circuitry that eliminates the additional process to identify specific locations of the failed RRAMs in the array. Spectre circuit simulation is performed to verify the effect of the scheme on Modified National Institute of Standards and Technology dataset using convolutional neural networks in non-ideal crossbar arrays, where experimentally observed imperfective RRAMs are configured. Our results show that the recognition accuracy can be maintained similar to the ideal case because the interruption of the failure is suppressed by the scheme.