Search results
Found 8755 matches for
Ethical issues in Nipah virus control and research: addressing a neglected disease.
Nipah virus is a priority pathogen that is receiving increasing attention among scientists and in work on epidemic preparedness. Despite this trend, there has been almost no bioethical work examining ethical considerations surrounding the epidemiology, prevention, and treatment of Nipah virus or research that has already begun into animal and human vaccines. In this paper, we advance the case for further work on Nipah virus disease in public health ethics due to the distinct issues it raises concerning communication about the modes of transmission, the burdens of public health surveillance, the recent use of stringent public health measures during epidemics, and social or religious norms intersecting with preventive measures. We also advance the case for further work on Nipah virus disease in research ethics, given ethical issues surrounding potential vaccine trials for a high-fatality disease with sporadic spillover events, the different local contexts where trials may occur, and the potential use of unproven therapeutics during outbreaks. Further bioethics work may help to ensure that research and public health interventions for Nipah virus disease are ethically acceptable and more likely to be effective.
The challenges and potential solutions of achieving meaningful consent amongst research participants in northern Thailand: a qualitative study.
BackgroundAchieving meaningful consent can be challenging, particularly in contexts of diminished literacy, yet is a vital part of participant protection in global health research.MethodWe explored the challenges and potential solutions of achieving meaningful consent through a qualitative study in a predominantly hill tribe ethnic minority population in northern Thailand, a culturally distinctive population with low literacy. Semi-structured interviews were conducted with 37 respondents who had participated in scrub typhus clinical research, their family members, researchers and other key informants. A thematic analysis was conducted.ResultsOur analysis identified four interrelated themes surrounding participants' ability to give consent: varying degrees of research understanding, limitations of using informal translators, issues impacting decisions to join research, and voluntariness of consent. Suggestions for achieving more meaningful consent included the use of formal translators and community engagement with research populations.ConclusionsParticipant's agency in decision making to join research should be supported, but research information needs to be communicated to potential participants in a way that they can understand. We found that improved understanding about the study and its potential benefits and harms goes beyond literacy or translation and requires attention to social and cultural factors.
Place of Death and Place of Care at the End of Life: Are They Correlated? A Retrospective Cohort Study of Ontario Decedents.
Background: Dying in nonpalliative acute care is generally considered inappropriate and avoidable. Place of death, a commonly reported big-dot indicator of end-of-life care quality, is often used as a proxy for place of care despite no empirical evidence for their correlations. Thus, we examined the correlations between place of death and place of care in the last month of life. We also investigated anecdotal claims that individuals cared in acute care often get discharged to die at home, and vice versa. Methods: We conducted a retrospective cohort study of Ontario decedents (18+) who died between January 1, 2015 and December 31, 2017. We identified individuals who died in nonpalliative acute care, palliative care unit, subacute care, long-term care (LTC), and the community. We calculated the number of days decedents spent in each setting in their last month of life, and used descriptive analyses to investigate their correlations. Results: Decedent's place of death generally correlated with their place of care in the last month of life-individuals who died in a particular setting spent more time in that setting than individuals who died elsewhere. Furthermore, 75.0% of individuals who spent more than two weeks of their last month in acute care died in acute care. Among individuals who died in the community and in LTC, 65.4% and 75.0%, respectively, spent zero days in acute care. Interpretation: We showed that place of death can be a useful high-level performance indicator, by itself and as a proxy for place of care, to gauge end-of-life quality and service provision/implementation.
Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries.
BackgroundAlthough morbidity and mortality from COVID-19 have been widely reported, the indirect effects of the pandemic beyond 2020 on other major diseases and health service activity have not been well described.Methods and resultsAnalyses used national administrative electronic hospital records in England, Scotland, and Wales for 2016-21. Admissions and procedures during the pandemic (2020-21) related to six major cardiovascular conditions [acute coronary syndrome (ACS), heart failure (HF), stroke/transient ischaemic attack (TIA), peripheral arterial disease (PAD), aortic aneurysm (AA), and venous thromboembolism(VTE)] were compared with the annual average in the pre-pandemic period (2016-19). Differences were assessed by time period and urgency of care.In 2020, there were 31 064 (-6%) fewer hospital admissions [14 506 (-4%) fewer emergencies, 16 560 (-23%) fewer elective admissions] compared with 2016-19 for the six major cardiovascular diseases (CVDs) combined. The proportional reduction in admissions was similar in all three countries. Overall, hospital admissions returned to pre-pandemic levels in 2021. Elective admissions remained substantially below expected levels for almost all conditions in all three countries [-10 996 (-15%) fewer admissions]. However, these reductions were offset by higher than expected total emergency admissions [+25 878 (+6%) higher admissions], notably for HF and stroke in England, and for VTE in all three countries. Analyses for procedures showed similar temporal variations to admissions.ConclusionThe present study highlights increasing emergency cardiovascular admissions during the pandemic, in the context of a substantial and sustained reduction in elective admissions and procedures. This is likely to increase further the demands on cardiovascular services over the coming years.
Age-related differences in cancer relative survival in the United States: A SEER-18 analysis.
Cancer survival has improved since the 1990s, but to different extents across age groups, with a disadvantage for older adults. We aimed to quantify age-related differences in relative survival (RS-1-year and 1-year conditioning on surviving 1 year) for 10 common cancer types by stage at diagnosis. We used data from 18 United States Surveillance Epidemiology and End Results cancer registries and included cancers diagnosed in 2012 to 2016 followed until December 31, 2017. We estimated absolute differences in RS between the 50 to 64 age group and the 75 to 84 age group. The smallest differences were observed for prostate and breast cancers (1.8%-points [95% confidence interval (CI): 1.5-2.1] and 1.9%-points [95% CI: 1.5-2.3], respectively). The largest was for ovarian cancer (27%-points, 95% CI: 24-29). For other cancers, differences ranged between 7 (95% CI: 5-9, esophagus) and 18%-points (95% CI: 17-19, pancreas). Except for pancreatic cancer, cancer type and stage combinations with very high (>95%) or very low (<40%) 1-year RS tended to have smaller age-related differences in survival than those with mid-range prognoses. Age-related differences in 1-year survival conditioning on having survived 1-year were small for most cancer and stage combinations. The broad variation in survival differences by age across cancer types and stages, especially in the first year, age-related differences in survival are likely influenced by amenability to treatment. Future work to measure the extent of age-related differences that are avoidable, and identify how to narrow the survival gap, may have most benefit by prioritizing cancers with relatively large age-related differences in survival (eg, stomach, esophagus, liver and pancreas).
Geographical Factors Affecting the Admission of Teenagers and Young Adults to Age-Specialist Inpatient Cancer Care in England.
Purpose: Little is known about the factors that influence the place of inpatient care for teenage and young adult (TYA) cancer patients. Recent guidelines have recommended centralization of care for this group to a small number of specialized centers. This study aimed to investigate the influence of geography and travel times on the likelihood of admission to an age-specialist center in England during cancer treatment for patients aged 15-24 at the time of diagnosis. Methods: Data for 6788 patients aged 15-24, diagnosed between 2001 and 2006 and treated as an inpatient in England between 2001 and 2009, were obtained from the National Cancer Data Repository. Eight TYA age-specialist centers were identified in England during this time period; road travel times to these centers were calculated using ArcGIS Network Analyst. Factors thought to affect the likelihood of admission, such as diagnostic group, gender, and age at diagnosis were modeled using logistic regression. Results: Overall, 66.9% of patients never received inpatient treatment at a TYA age-specialist center during the course of their treatment. Increasing travel time significantly reduced the likelihood of admission to a TYA age-specialist center after adjustment for case mix factors. Conclusion: Many TYA patients received little or no inpatient treatment at a TYA age-specialist center during their treatment. The variation between diagnostic groups suggests that factors other than distance to the closest center are affecting the likelihood of admission and demonstrates the potential need to consider improvements to the structured referral practice for this unique group of patients.
Severity of maternal SARS-CoV-2 infection and perinatal outcomes of women admitted to hospital during the omicron variant dominant period using UK Obstetric Surveillance System data: prospective, national cohort study.
ObjectivesTo describe the severity of maternal infection when the omicron SARS-CoV-2 variant (B.1.1.529) was dominant (15 December 2021 to 14 March 2022) and describe outcomes by symptoms and vaccination status.DesignProspective, national cohort study using the UK Obstetric Surveillance System.Setting94 hospitals in the UK with a consultant led maternity unit.ParticipantsPregnant women admitted to hospital for any cause with a positive SARS-CoV-2 test.Main outcome measuresSymptomatic or asymptomatic infection, vaccination status by doses before admission, and severity of maternal infection (moderate or severe infection according to modified World Health Organization's criteria).ResultsOf 3699 women who were admitted to hospital, 986 (26.7%, 95% confidence interval 25.3% to 28.1%) had symptoms; of these, 144 (14.6%, 12.5% to 17.0%) had a moderate to severe infection, 99 (10.4%, 8.6% to 12.5%) of 953 received respiratory support, and 30 (3.0%, 2.1% to 4.3%) were admitted to an intensive care unit. Covid-19 specific drug treatment was given to 13 (43.3%) of the 30 women in intensive care. Four women with symptoms died (0.4%, 0.1% to 1.1%). Vaccination status was known for 845 (85.6%) women with symptoms; 489 (58.9%) were unvaccinated and only 55 (6.5%) had three doses. Moderate to severe infection was reported for 93 (19.0%) of 489 unvaccinated women with symptoms, decreasing to three (5.5%) of 55 after three doses. Among the 30 women with symptoms who were admitted to intensive care, 23 (76.7%) were unvaccinated and none had received three doses.ConclusionMost women with severe covid-19 disease were unvaccinated and vaccine coverage among pregnant women admitted to hospital with SARS-CoV-2 was low. Ongoing action to prioritise and advocate for vaccine uptake in pregnancy is essential. A better understanding of the persistent low use of drug treatments is an urgent priority.Trial registrationISRCTN 40092247.
Severity of maternal infection and perinatal outcomes during periods of SARS-CoV-2 wildtype, alpha, and delta variant dominance in the UK: prospective cohort study.
ObjectiveTo compare the severity of maternal infection and perinatal outcomes during periods in which wildtype, alpha variant, and delta variant of SARS-CoV-2 were dominant in the UK.DesignProspective cohort study.Setting194 obstetric units across the UK, during the following periods: between 1 March and 30 November 2020 (wildtype dominance), between 1 December 2020 and 15 May 2021 (alpha variant dominance), and between 16 May and 31 October 2021 (delta variant dominance).Participants4436 pregnant women admitted to hospital with covid-19 related symptoms.Main outcome measuresModerate to severe maternal SARS-CoV-2 infection (indicated by any of the following: oxygen saturation <95% on admission, need for oxygen treatment, evidence of pneumonia on imaging, admission to intensive care, or maternal death), and pregnancy and perinatal outcomes (including mode and gestation of birth, stillbirth, live birth, admission to neonatal intensive care, and neonatal death).Results1387, 1613, and 1436 pregnant women were admitted to hospital with covid-19 related symptoms during the wildtype, alpha, and delta dominance periods, respectively; of these women, 340, 585, and 614 had moderate to severe infection, respectively. The proportion of pregnant women admitted with moderate to severe infection increased during the subsequent alpha and delta dominance periods, compared with the wildtype dominance period (wildtype 24.5% v alpha 36.2% (adjusted odds ratio 1.98, 95% confidence interval 1.66% to 2.37%); wildtype 24.5% v delta 42.8% (2.66, 2.21 to 3.20)). Compared with the wildtype dominance period, women admitted during the alpha dominance period were significantly more likely to have pneumonia, require respiratory support, and be admitted to intensive care; these three risks were even greater during the delta dominance period (wildtype v delta: pneumonia, adjusted odds ratio 2.52, 95% confidence interval 2.06 to 3.09; respiratory support, 1.90, 1.52 to 2.37; and intensive care, 2.71, 2.06 to 3.56). Of 1761 women whose vaccination status was known, 38 (2.2%) had one dose and 16 (1%) had two doses before their diagnosis (of whom 14 (88%) had mild infection). The proportion of women receiving drug treatment for SARS-CoV-2 management was low, but did increase between the wildtype dominance period and the alpha and delta dominance periods (10.4% wildtype v 14.9% alpha (2.74, 2.08 to 3.60); 10.4% wildtype v 13.6% delta (2.54, 1.90 to 3.38)).ConclusionsWhile limited by the absence of variant sequencing data, these findings suggest that during the periods when the alpha and delta variants of SARS-CoV-2 were dominant, covid-19 was associated with more severe maternal infection and worse pregnancy outcomes than during the wildtype dominance period. Most women admitted with SARS-CoV-2 related symptoms were unvaccinated. Urgent action to prioritise vaccine uptake in pregnancy is essential.Study registrationISRCTN40092247.
Naomi Wray.
Naomi Wray works at the interface of genetics, statistics and psychiatric disorders. With early training in quantitative genetics applied to livestock she brought to the field a perspective on the polygenic nature of common, complex disease. She advocates for experimental paradigms that exploit polygenicity to advance translational outcomes in psychiatry.
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records.
BackgroundUpdatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework.MethodsIn this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive on Jan 23, 2020. Data on COVID-19 testing, vaccination, primary and secondary care records, and death registrations were collected until Nov 30, 2021. We defined ten COVID-19 phenotypes reflecting clinically relevant stages of disease severity and encompassing five categories: positive SARS-CoV-2 test, primary care diagnosis, hospital admission, ventilation modality (four phenotypes), and death (three phenotypes). We constructed patient trajectories illustrating transition frequency and duration between phenotypes. Analyses were stratified by pandemic waves and vaccination status.FindingsAmong 57 032 174 individuals included in the cohort, 13 990 423 COVID-19 events were identified in 7 244 925 individuals, equating to an infection rate of 12·7% during the study period. Of 7 244 925 individuals, 460 737 (6·4%) were admitted to hospital and 158 020 (2·2%) died. Of 460 737 individuals who were admitted to hospital, 48 847 (10·6%) were admitted to the intensive care unit (ICU), 69 090 (15·0%) received non-invasive ventilation, and 25 928 (5·6%) received invasive ventilation. Among 384 135 patients who were admitted to hospital but did not require ventilation, mortality was higher in wave 1 (23 485 [30·4%] of 77 202 patients) than wave 2 (44 220 [23·1%] of 191 528 patients), but remained unchanged for patients admitted to the ICU. Mortality was highest among patients who received ventilatory support outside of the ICU in wave 1 (2569 [50·7%] of 5063 patients). 15 486 (9·8%) of 158 020 COVID-19-related deaths occurred within 28 days of the first COVID-19 event without a COVID-19 diagnoses on the death certificate. 10 884 (6·9%) of 158 020 deaths were identified exclusively from mortality data with no previous COVID-19 phenotype recorded. We observed longer patient trajectories in wave 2 than wave 1.InterpretationOur analyses illustrate the wide spectrum of disease trajectories as shown by differences in incidence, survival, and clinical pathways. We have provided a modular analytical framework that can be used to monitor the impact of the pandemic and generate evidence of clinical and policy relevance using multiple EHR sources.FundingBritish Heart Foundation Data Science Centre, led by Health Data Research UK.