National Institute of Health Research (NIHR) Health Technology Assessment, NIHR Respiratory Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College London.

Objectives The COVID-19 pandemic has highlighted the extreme vulnerability of older people and other individuals who reside in long term care, creating an urgent need for evidence-based policy that can adequately protect these community members. This study aimed to provide synthesized evidence to support policy decision-making. Design Rapid narrative review investigating strategies that have prevented or mitigated SARS-CoV-2 transmission in long term care. Setting and Participants Residents and staff in care settings such as nursing homes and long term care facilities. Methods PubMed/Medline, Cochrane Library and Scopus were systematically searched, with studies describing potentially effective strategies included. Studies were excluded if they did not report empirical evidence (for example commentaries and consensus guidelines). Study quality was appraised on the basis of study design; data were extracted from published reports and synthesised narratively using tabulated data extracts and summary tables. Results Searches yielded 713 articles; 80 papers describing 77 studies were included. Most studies were observational with no randomized controlled trials identified. Intervention studies provided strong support for widespread surveillance, early identification and response, and rigorous infection prevention and control (IPC) measures. Symptom or temperature based screening, and single point-prevalence testing, were found to be ineffective, and serial universal testing of residents and staff was considered crucial. Attention to ventilation and environmental management, digital health applications and acute sector support were also considered beneficial although evidence for effectiveness was lacking. In observational studies, staff represented substantial transmission risk and workforce management strategies were important components of pandemic response. Higher performing facilities with less crowding and higher nurse staffing ratios had reduced transmission rates. Outbreak investigations suggested that facility-level leadership, inter-sectoral collaboration and policy that facilitated access to critical resources were all significant enablers of success. Conclusions and Implications High quality evidence of effectiveness in protecting LTCFs from COVID-19 was limited at the time of this study, though continues to emerge. Despite widespread COVID-19 vaccination programs in many countries, continuing prevention and mitigation measures may be required to protect vulnerable long term care residents from COVID-19 and other infectious diseases. This rapid review summarises current evidence regarding strategies which may be effective.

The NHHI was associated with widespread sustained improvements in HH compliance among Australian health care workers. Although specific linking of SAB rate changes to the NHHI was not possible, further declines in national SAB rates are expected.

Introduction Internationally the COVID-19 pandemic has triggered a dramatic and unprecedented shift in telehealth uptake as a means of protecting healthcare consumers and providers through remote consultation modes. Early in the pandemic, Australia implemented a comprehensive and responsive set of policy measures to support telehealth. Initially targeted at protecting vulnerable individuals, including health professionals, this rapidly expanded to a “whole population” approach as the pandemic evolved. This policy response supported health system capacity and community confidence by protecting patients and healthcare providers; creating opportunities for controlled triage, remote assessment and treatment of mild COVID-19 cases; redeploying quarantined or isolated health care workers (HCWs); and maintaining routine and non-COVID healthcare. Purpose This paper provides a review of the literature regarding telephone and video consulting, outlines the pre-COVID background to telehealth implementation in Australia, and describes the national telehealth policy measures instituted in response to COVID-19. Aligned with the existing payment system for out of hospital care, and funded by the national health insurance scheme, a suite of approximately 300 temporary telehealth Medicare-subsidised services were introduced. Response to these initiatives was swift and strong, with 30.01 million services, at a cost of AUD $1.54 billion, claimed in the first six months. Findings This initiative has been a major policy success, ensuring the safety of healthcare consumers and healthcare workers during a time of great uncertainty, and addressing known financial risks and barriers for health service providers. The risks posed by COVID-19 have radically altered the value proposition of telehealth for patients and clinicians, overcoming many previously encountered barriers to implementation, including willingness of clinicians to adopt telehealth, consumer awareness and demand, and the necessity of learning new ways of conducting safe consultations. However, ensuring the quality of telehealth services is a key ongoing concern. Conclusions Despite a preference by policymakers for video consultation, the majority of telehealth consults in Australia were conducted by telephone. The pronounced dominance of telephone item numbers in early utilisation data suggests there are still barriers to video-consultations, and a number of challenges remain before the well-described benefits of telehealth can be fully realised from this policy and investment. Ongoing exposure to a range of clinical, legislative, insurance, educational, regulatory, and interoperability concerns and solutions, driven by necessity, may drive changes in expectations about what is desirable and feasible – among both patients and clinicians.

The year 2020 has seen the emergence of a global pandemic as a result of the disease COVID-19. This report reviews knowledge of the transmission of COVID-19 indoors, examines the evidence for mitigating measures, and considers the implications for wintertime with a focus on ventilation.

BackgroundObstructive sleep apnea (OSA) is a chronic, multisystem disorder that has a bidirectional relationship with several major neurological disorders, including Alzheimer's dementia. Treatment with Continuous Positive Airway Pressure (CPAP) offers some protection from the effects of OSA, although it is still unclear which populations should be targeted, for how long, and what the effects of treatment are on different organ systems. We investigated whether cognitive improvements can be achieved as early as one month into CPAP treatment in patients with OSA.Methods55 patients (mean (SD) age: 47.6 (11.1) years) with newly diagnosed moderate–severe OSA (Oxygen Desaturation Index: 36.6 (25.2) events/hour; Epworth sleepiness score (ESS): 12.8 (4.9)) and 35 matched healthy volunteers were studied. All participants underwent neurocognitive testing, neuroimaging and polysomnography. Patients were randomized into parallel groups: CPAP with best supportive care (BSC), or BSC alone for one month, after which they were re-tested.FindingsOne month of CPAP with BSC resulted in a hypertrophic trend in the right thalamus [mean difference (%): 4.04, 95% CI: 1.47 to 6.61], which was absent in the BSC group [− 2.29, 95% CI: − 4.34 to − 0.24]. Significant improvement was also recorded in ESS, in the CPAP plus BSC group, following treatment [mean difference (%): − 27.97, 95% CI: − 36.75 to − 19.19 vs 2.46, 95% CI: − 5.23 to 10.15; P = 0.012], correlated to neuroplastic changes in brainstem (r = − 0.37; P = 0.05), and improvements in delayed logical memory scores [57.20, 95% CI: 42.94 to 71.46 vs 23.41, 95% CI: 17.17 to 29.65; P = 0.037].InterpretationOne month of CPAP treatment can lead to adaptive alterations in the neurocognitive architecture that underlies the reduced sleepiness, and improved verbal episodic memory in patients with OSA. We propose that partial neural recovery occurs during short periods of treatment with CPAP.

Objective: Design and setting: Prospective modelling with the tools FluSurge 2.0 and FluAid 2.0 (developed by the United States Centers for Disease Control and Prevention) over 12 weeks from when the pandemic “Contain” Phase was declared on 22 May 2009, compared with data obtained from daily hospital reports of pandemic (H1N1) 2009 influenza‐related admissions and transfers to intensive care units (ICUs). Main outcome measures: The effect on hospitals as projected by the FluAid 2.0 model compared with observed hospital admissions and ICU admissions. Results: Prospective use of the FluAid 2.0 model provided valuable health intelligence for assessment and projection of hospitalisation and critical care demand through the first 10 weeks of the pandemic in Victoria. The observed rate of hospital admissions for pandemic (H1N1) 2009 was broadly consistent with a 5% gross clinical attack rate, with 0.3% of infected patients being hospitalised. Transfers to ICUs occurred at a rate of 20% of hospital admissions, and were associated with vulnerable patient groups, and severe respiratory failure in 82% of patients admitted to ICUs. Most patients treated in ICUs (85%) survived after an average ICU length of stay of 9 days (SD, 6.5 days). Mechanical ventilation was required by 72% of patients admitted to ICUs, and extracorporeal membrane oxygenation (ECMO) was used for 7%. Pre‐existing haematological malignancy accounted for half of all the deaths in patients admitted to ICUs with pandemic (H1N1) 2009 influenza. Conclusions: Prospective use of modelling tools informed critical decisions in the planning and management of the pandemic. Early estimation of the clinical attack rate, hospitalisation rates, and demand for ICU beds guided implementation of surge capacity. ECMO emerged as an important treatment modality for pandemic (H1N1) 2009 influenza, and will be an important consideration for future pandemic planning.

Aim To investigate age-related changes in sleepiness symptoms associated with sleep disordered breathing (SDB). Methods Wisconsin Sleep Cohort participants were assessed with polysomnography, Epworth Sleepiness Scale (ESS) and Multiple Sleep Latency Test (MSLT). SDB was defined as an apnea/hypopnea index≥15 events/hour, sleepiness as ESS≥10 and MSLT≤5 minutes. Odds ratios were calculated using generalized estimating equations associating sleepiness with SDB, and conditional logistic regression examining changes in longitudinal sleepiness status (ESS only). Models were, a priori, stratified by gender. Results ESS was measured in 1281 participants and MSLT in 998, at multiple time points (ESS n=3695; MSLT n=1846). Significant interactions were found between SDB and age in men, but not women. The odds ratios (OR) modeled for sleepiness in a 40 year old male with SDB were significant, compared to a male without SDB (OR: ESS 2.1; MSLT 2.9); however, these associations were not significant at 60 years. The within-subject odds ratio for sleepiness was also significant at 40 years (OR: 3.4), but not at 60 years. Conclusion The age-related reductions in the association between sleepiness and SDB may have clinical implications for the diagnosis and treatment of SDB in older people since sleepiness is often used as a therapeutic marker.