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Infection and mortality of healthcare workers worldwide from COVID-19: a systematic review.
OBJECTIVES: To estimate COVID-19 infections and deaths in healthcare workers (HCWs) from a global perspective during the early phases of the pandemic. DESIGN: Systematic review. METHODS: Two parallel searches of academic bibliographic databases and grey literature were undertaken until 8 May 2020. Governments were also contacted for further information where possible. There were no restrictions on language, information sources used, publication status and types of sources of evidence. The AACODS checklist or the National Institutes of Health study quality assessment tools were used to appraise each source of evidence. OUTCOME MEASURES: Publication characteristics, country-specific data points, COVID-19-specific data, demographics of affected HCWs and public health measures employed. RESULTS: A total of 152 888 infections and 1413 deaths were reported. Infections were mainly in women (71.6%, n=14 058) and nurses (38.6%, n=10 706), but deaths were mainly in men (70.8%, n=550) and doctors (51.4%, n=525). Limited data suggested that general practitioners and mental health nurses were the highest risk specialities for deaths. There were 37.2 deaths reported per 100 infections for HCWs aged over 70 years. Europe had the highest absolute numbers of reported infections (119 628) and deaths (712), but the Eastern Mediterranean region had the highest number of reported deaths per 100 infections (5.7). CONCLUSIONS: COVID-19 infections and deaths among HCWs follow that of the general population around the world. The reasons for gender and specialty differences require further exploration, as do the low rates reported in Africa and India. Although physicians working in certain specialities may be considered high risk due to exposure to oronasal secretions, the risk to other specialities must not be underestimated. Elderly HCWs may require assigning to less risky settings such as telemedicine or administrative positions. Our pragmatic approach provides general trends, and highlights the need for universal guidelines for testing and reporting of infections in HCWs.
Is administered competition suitable for dealing with a public health emergency? Lessons from the local healthcare system at the centre of early COVID-19 outbreak in Italy.
OBJECTIVES: The Lombardy Region, Italy, was the most severely affected by the COVID-19 outbreak. In absence of effective treatments and with basic hygiene measures made mandatory, Lombardy response to COVID-19 relied on its healthcare system characteristics, the administered competition or "quasi-market" model. The aim of the study was to review the strengths and weaknesses of Lombardy's response during the first wave of the COVID-19 epidemic, to explore whether the healthcare model influenced crisis management and describe which policies could help to contain future outbreaks. The results are expected to provide similar healthcare systems with lessons to avoid mistakes and learn from best practice. METHODS: Data for quantitative analyses on the performance of the Lombardy and Veneto Regions healthcare systems were derived from existing government sources including the Italian Civil Protection Agency and the Ministry of Health. RESULTS: Lombardian quasi-market model, traditionally characterized by a strong hospital network, was held responsible for many suboptimal outcomes. According to critics, years of disinvestments in community care resulted in a hospital overload. However, the same model was responsible for other positive outcomes which have been substantially neglected, such as the opportunity to test for effective containment treatments in a safe environment and rapidly extend the number of beds. CONCLUSIONS: The performance of a quasi-market model against public health emergencies largely depends on integration between policy-makers and balance between healthcare providers, which require clear regulation. Reducing institutional fragmentation between levels of governance, improving the coordination of healthcare facilities and adopting telemedicine technologies are means by which healthcare networks could strengthen their resilience against future outbreaks.
Transitions to food democracy through multilevel governance
Food systems in Europe are largely unjust and not sustainable. Despite substantial negative consequences for individual health, the environment and public sector health and care services, large multi-national corporations continue to benefit from the way food systems are designed—perpetuating “Lose–Lose–Lose–Win” food systems that see these large corporations benefit at the expense of health, the environment and public sector finances. Transitioning to “Win–Win–Win–Win” food systems is challenging because of the heterogeneity, complexity and unpredictable nature of food systems—one-size fits-all solutions to correct imbalances and injustices cannot exist. To address these challenges, we propose the use of heuristics—solutions that can flexibly account for different contexts, preferences and needs. Within food systems, food democracy could be a heuristic solution that provides the processes and can form the basis for driving just transitions. However, ensuring that these transition processes are fair, equitable, sustainable and constructive, requires an approach that can be used across vertical and horizontal governance spheres to ensure the voices of key stakeholders across space, time and spheres of power are accounted for. In this manuscript we outline a new Horizon project, FEAST, that aims to use multilevel governance approaches across vertical and horizontal spheres of governance to realize constructive food democracy. We envisage this as a means to inform just processes that can be used to design and implement policies, in line with food democracy, to facilitate transitions to “Win–Win–Win–Win” food systems across Europe that makes it easy for every European to eat a healthy and sustainable diet.
Factors influencing care-seeking behaviour for mental illness in India: a situational analysis in Tamil Nadu.
BACKGROUND: The contribution of mental illness to the total burden of disease in India nearly doubled from 1990 to 2017, increasing from 2.5% of the total disability-adjusted life years in 1990 to 4.7% in 2017. Despite efforts by the Indian government, a treatment gap of 75-85%, with heterogeneity across multiple dimensions, exists across India. We conducted a qualitative study in Tamil Nadu, India, to better understand the contextual factors affecting the care-seeking behaviour for mental illness. METHODS: Qualitative methods, including semi-structured interviews and focus groups (FGs), were conducted with stakeholders involved in the mental health care pathway in Tamil Nadu. Ten semi-structured interviews and five FGs were conducted and analysed using an inductive approach to identify codes, using Dedoose v7, related to the emerging themes and categories. RESULTS: Our analyses identified three key areas that influence care-seeking: views on what causes and/or constitutes mental illness, stigma and discrimination associated with mental illness and broader factors influencing decision-making. CONCLUSIONS: The specific contextual factors identified by our study can be used to design and implement approaches that can help to address some of the issues that influence the care-seeking behaviour and manifest in the treatment gaps seen in Tamil Nadu and in India, more generally.
Anatomical basis and histopathological changes resulting from selective internal radiotherapy for liver metastases
Background Knowledge that liver tumours preferentially take their blood supply from the arterial blood supply rather than the portal venous system can be used for local delivery of treatment or for embolisation to cut off the blood supply to tumours. Aims To present histological evaluation of malignant and non-malignant hepatic tissue of one such therapy, selective internal radiation therapy (SIRT) with yttrium-90 microspheres, to decipher its principal mechanism of action. Methods The H&E stained sections of hepatic resection specimens from three patients with liver metastases from colorectal (CRC) cancer, who underwent hepatic surgery 4-9 months following SIRT, were examined and the pathological changes documented. Results Resin microspheres were identified in the vascular tumour bed and vessels within the portal tracts of the background liver parenchyma. Microspheres were usually associated with giant cell reaction or histiocytes. In the tumour bed, tumour necrosis, mucinous alteration, collections of foamy histiocytes, ectatic vessels, calcification and fibrosis were observed. There was minimal cellular inflammatory response observed, suggestive of direct radiation injury as a non-immune mediated process. Conclusions We describe in detail the spectrum of histopathological changes in malignant tissue and liver parenchyma in patients with metastatic CRC treated with SIRT. Our findings are consistent with the hypothesis that the principal mechanism of action of SIRT appears to be via arterially directed delivery of highly radioactive microspheres in and around the vascular tumour bed rather than by micro-arterial embolisation.
Car harm: A global review of automobility's harm to people and the environment
Despite the widespread harm caused by cars and automobility, governments, corporations, and individuals continue to facilitate it by expanding roads, manufacturing larger vehicles, and subsidising parking, electric cars, and resource extraction. This literature review synthesises the negative consequences of automobility, or car harm, which we have grouped into four categories: violence, ill health, social injustice, and environmental damage. We find that, since their invention, cars and automobility have killed 60–80 million people and injured at least 2 billion. Currently, 1 in 34 deaths are caused by automobility. Cars have exacerbated social inequities and damaged ecosystems in every global region, including in remote car-free places. While some people benefit from automobility, nearly everyone—whether or not they drive—is harmed by it. Slowing automobility's violence and pollution will be impracticable without the replacement of policies that encourage car harm with policies that reduce it. To that end, the paper briefly summarises interventions that are ready for implementation.
‘The plural of silo is not ecosystem’: Qualitative study on the role of innovation ecosystems in supporting ‘Internet of Things’ applications in health and care
Background: Internet of Things (IoT) innovations such as wearables and sensors promise improved health outcomes and service efficiencies. Yet, most applications remain experimental with little routine use in health and care settings. We sought to examine the multiple interacting influences on IoT implementation, spread and scale-up, including the role of regional innovation ‘ecosystems’ and the impact of the COVID-19 context. Methods: Qualitative study involving 20 participants with clinical, entrepreneurial and broader innovation experience in 18 in-depth interviews, focusing primarily on heart monitoring and assistive technology applications. Data analysis was informed by the NASSS (non-adoption, abandonment, scale-up, spread, sustainability) framework. Results: Interviewees discussed multiple tensions and trade-offs, including lack of organisational capacity for routine IoT use, limited ability to receive and interpret data, complex procurement and governance processes, and risk of health disparities and inequalities without system support and funding. Although the pandemic highlighted opportunities for IoT use, it was unclear whether these would be sustained, with framings of innovation as ‘disruption’ coming at odds with immediate needs in healthcare settings. Even in an ‘ecosystem’ with strong presence of academic and research institutions, support was viewed as limited, with impressions of siloed working, conflicting agendas, fragmentation and lack of collaboration opportunities. Conclusions: IoT development, implementation and roll-out require support from multiple ecosystem actors to be able to articulate a value proposition beyond experimental or small-scale applications. In contexts where clinical, academic and commercial worlds collide, sustained effort is needed to align needs, priorities and motives, and to strengthen potential for good value IoT innovation.
Identification of Organisational Models for the Provision of Predictive Genomic Applications
When evaluating proper delivery models of a genetic service, it is important to take into consideration the healthcare system and the genetic test provided within a specific programme. New delivery models should promote the integration of genetics into all medical specialties through the collaboration among different healthcare professionals and the redistribution of professional roles. The successful implementation of genomic applications into practice must go through the implementation of specific national policies, adequate funding along with increase of professional education in genomics medicine. To that effect, Clinical Decision Support Systems can effectively increase the ability of physicians to assess genetic risk and reduce the possibility of misdiagnosis to improve healthcare. A thorough analysis to understand if genomic information can be used to deliver better health outcomes for patients and populations must be carried out before integrating it into healthcare systems. For this purpose, a conceptual framework of outcomes-based healthcare systems to address whether genomic information can actually deliver value is also presented in this chapter.
Perspectives and use of telemedicine by doctors in India: A cross-sectional study
Background: India has committed to formulating a roadmap for realising a resilient health system, with digital health being an important element. Following the successful implementation of a free telemedicine service, eSanjeevani, India published the Telemedicine Practice Guidelines in 2020 to scale telemedicine use in India. The current study aims to understand the perspective and use of telemedicine by medical doctors in India after the release of these guidelines. Methods: Data were acquired through an anonymous, cross-sectional, internet-based survey of medical doctors (n = 444) at a pan-India level. Replies were subjected to statistical analysis. Findings: Telemedicine was used for various non-mutually exclusive reasons, with the top two reasons being live audio or video consultations (60.4 %) and online payments (19.1 %), and smartphones were the most frequently used device type (60.6 %). Among various benefits of telemedicine, almost all respondents (93 %) recognised the potential for telemedicine to reduce COVID-19 infection risk for healthcare professionals. Interestingly, nearly 45 % of respondents felt that limited and fragmented insurance coverage was an important limitation to the practice of telemedicine in India, and 49 % believed reduced patient fees for teleconsultations could help incentivise telemedicine use. Interpretation: This study helps to appraise the use of telemedicine in India after the publication of telemedicine guidelines in 2020. Furthermore, the findings can inform the development of telemedicine platforms, policies and incentives to improve the design and implementation of effective telemedicine in India. Funding: No funding to report.
A Novel Ontological Approach to Estimate Inequalities and Underuse of Social Prescriptions for Mental Health in Primary Care in England
Mental health conditions are a significant contributor to morbidity and mortality and cost an estimated £1.6 trillion per year globally. The COVID-19 pandemic and its associated lockdowns have contributed to increases in common mental health problems (CMHP) like depression. Bodies in the UK recommend the use of non-medical interventions like social prescriptions to support individuals suffering from CMHP. In 2019, NHS-England committed to support the use of social prescribing across England. Despite this commitment, the proportion of eligible individuals with a CMHP that actually receive a social prescription remains unknown. To overcome this knowledge gap, a novel ontological approach was used to estimate the proportion of individuals with a CMHP that received a social prescription, disaggregated by different attributes (region, ethnicity, socio-economic status, sex, age) across a four-year period from 2017–2020. We discovered two general trends. First, there was a 1.4-fold increase in the presentation of individuals, across all attributes, to primary care with a CMHP across the four-year period analysed. There was also marked variation in the presentation to primary care with a CMHP based on different attributes (2020 variation figures - regions: 2.8-fold; ethnicity: 1.8-fold; socio-economic status: 1.4-fold; sex: 1.7-fold; age: 3.9-fold). Second, despite an increase in the use of social prescribing for mental health, there was still substantial underuse of it across all attributes in England (the highest percentage seen across all attributes in 2020 was 14%). The general trends revealed through our analyses provide valuable insights that can help to inform both policy and practice to address variation, health inequalities as well as to proactively design and implement appropriate services.
A Novel Ontological Approach to Track Social Determinants of Health in Primary Care
The associated morbidity and mortality from COVID-19 and the public health response to prevent the spread of the virus has repeatedly demonstrated the significant impact of social determinants of health (SDoH) and social inequities on health outcomes. Social prescriptions are interventions aimed at tackling SDoH. In 2019, NHS-England committed to support the use of social prescribing across England. NHS-England commissioned the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) sentinel network to monitor the distribution of social prescribing services within English primary care and, within that, monitor the impact of the COVID-19 pandemic response on SDoH. To track incidence of people presenting to primary care with SDoH-related issues, we implemented an ontological approach to curate SDoH indicators in computerised medical records (CMR) using the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT). These indicators were then extracted from the RCGP-RSC sentinel network database to present weekly incidence rates per 10,000 people to assess the impact of the pandemic on these SDoH. Pre- versus peri-pandemic, we observed an increase in the recording of several of our SDoH indicators; namely issues related to homelessness, unemployment, mental health, harmful substance use and financial difficulties. As far as we are aware, this is the first time that routinely collected primary care CMR data has been utilised for the monitoring and surveillance of SDoH and demonstrates the feasibility of this approach for future surveillance.
Quasi-experimental evaluation of a nationwide diabetes prevention programme.
Diabetes is a leading cause of morbidity, mortality and cost of illness1,2. Health behaviours, particularly those related to nutrition and physical activity, play a key role in the development of type 2 diabetes mellitus3. Whereas behaviour change programmes (also known as lifestyle interventions or similar) have been found efficacious in controlled clinical trials4,5, there remains controversy about whether targeting health behaviours at the individual level is an effective preventive strategy for type 2 diabetes mellitus6 and doubt among clinicians that lifestyle advice and counselling provided in the routine health system can achieve improvements in health7-9. Here we show that being referred to the largest behaviour change programme for prediabetes globally (the English Diabetes Prevention Programme) is effective in improving key cardiovascular risk factors, including glycated haemoglobin (HbA1c), excess body weight and serum lipid levels. We do so by using a regression discontinuity design10, which uses the eligibility threshold in HbA1c for referral to the behaviour change programme, in electronic health data from about one-fifth of all primary care practices in England. We confirm our main finding, the improvement of HbA1c, using two other quasi-experimental approaches: difference-in-differences analysis exploiting the phased roll-out of the programme and instrumental variable estimation exploiting regional variation in programme coverage. This analysis provides causal, rather than associational, evidence that lifestyle advice and counselling implemented at scale in a national health system can achieve important health improvements.
Survey of young women's state of knowledge and perceptions about oral contraceptives in Germany.
BACKGROUND: In Germany, we see a decline in the use of the oral contraceptive pill. Although there have been studies showing a lack of knowledge about the mode of action of the pill and alternative methods, the number of German women who feel well informed about the pill increased over recent years. At the same time, a trend to increasingly cover negative aspects of oral contraception has emerged in German journalism and social media. OBJECTIVE: This study aimed to consider the relationship between the source of information about the pill, subjective and objective knowledge, and how their interaction influences perceptions of the pill. STUDY DESIGN: An online survey was conducted of 18- to 29-year-old women to test their objective and subjective knowledge, their perception of oral contraceptives, and their trust in gynecologists. The recruitment took place online and in gynecologic practices. The survey opened in September 2020 and closed in April 2021. RESULTS: A total of 2470 women completed the survey. The most common sources of information were the internet (80%), the gynecologist (47%), and friends and family (47%). Women reporting the internet as a source of information were more likely to have lower perception and trust rates, and less likely to overestimate their own knowledge. The findings suggest that school or university as a source of information has a positive effect on decision-making and general attitude toward information received by gynecologists about oral contraceptives. Those with higher confidence in their knowledge are likely to have a more positive attitude and higher levels of trust. CONCLUSION: A feeling of uncertainty, instead of fixed assumptions gathered from unsophisticated sources, affects perception regarding oral contraceptives and trust toward gynecologists negatively. Gynecologists and educators should hence increase efforts to meet potential needs for discussing uncertainties to prevent further loss of confidence.
Use of lifestyle interventions in primary care for individuals with newly diagnosed hypertension, hyperlipidaemia or obesity: a retrospective cohort study.
OBJECTIVE: Lifestyle interventions can be efficacious in reducing cardiovascular disease risk factors and are recommended as first-line interventions in England. However, recent information on the use of these interventions in primary care is lacking. We investigated for how many patients with newly diagnosed hypertension, hyperlipidaemia or obesity, lifestyle interventions were recorded in their primary care electronic health record. DESIGN: A retrospective cohort study. SETTING: English primary care, using UK Clinical Practice Research Datalink. PARTICIPANTS: A total of 770,711 patients who were aged 18 years or older and received a new diagnosis of hypertension, hyperlipidaemia or obesity between 2010 and 2019. MAIN OUTCOME MEASURES: Record of lifestyle intervention and/or medication in 12 months before to 12 months after initial diagnosis (2-year timeframe). RESULTS: Analyses show varying results across conditions: While 55.6% (95% CI 54.9-56.4) of individuals with an initial diagnosis of hypertension were recorded as having lifestyle support (lifestyle intervention or signposting) within the 2-year timeframe, this number was reduced to 45.2% (95% CI 43.8-46.6) for hyperlipidaemia and 52.6% (95% CI 51.1-54.1) for obesity. For substantial proportions of individuals neither lifestyle support nor medication (hypertension: 12.2%, 95% CI 11.9-12.5; hyperlipidaemia: 32.2%, 95% CI 31.2-33.3; obesity: 43.9%, 95% CI 42.3-45.4) were recorded. Sensitivity analyses confirm that limited proportions of patients had lifestyle support recorded in their electronic health record before they were first prescribed medication (diagnosed and undiagnosed), ranging from 12.1% for hypertension to 19.7% for hyperlipidaemia, and 19.5% for obesity (23.4% if restricted to Orlistat). CONCLUSIONS: Limited evidence of lifestyle support for individuals with cardiovascular risk factors (hypertension, hyperlipidaemia, obesity) recommended by national guidelines in England may stem from poor recording in electronic health records but may also represent missed opportunities. Given the link between progression to cardiovascular disease and modifiable lifestyle factors, early support for patients to manage their conditions through non-pharmaceutical interventions by establishing lifestyle modification as first-line treatment is crucial.
Internet of things-Enabled technologies as an intervention for childhood obesity: A systematic review.
Childhood obesity is one of the most serious public health challenges of the 21st century, with consequences lasting into adulthood. Internet of Things (IoT)-enabled devices have been studied and deployed for monitoring and tracking diet and physical activity of children and adolescents as well as a means of providing remote, ongoing support to children and their families. This review aimed to identify and understand current advances in the feasibility, system designs, and effectiveness of IoT-enabled devices to support weight management in children. We searched Medline, PubMed, Web of Science, Scopus, ProQuest Central and the IEEE Xplore Digital Library for studies published after 2010 using a combination of keywords and subject headings related to health activity tracking, weight management, youth and Internet of Things. The screening process and risk of bias assessment were conducted in accordance with a previously published protocol. Quantitative analysis was conducted for IoT-architecture related findings and qualitative analysis was conducted for effectiveness-related measures. Twenty-three full studies are included in this systematic review. The most used devices were smartphone/mobile apps (78.3%) and physical activity data (65.2%) from accelerometers (56.5%) were the most commonly tracked data. Only one study embarked on machine learning and deep learning methods in the service layer. Adherence to IoT-based approaches was low but game-based IoT solutions have shown better effectiveness and could play a pivotal role in childhood obesity interventions. Researcher-reported effectiveness measures vary greatly amongst studies, highlighting the importance for improved development and use of standardised digital health evaluation frameworks.