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A Situational Overview of Prenatal Screening Services in Bhutan.
Prenatal genetic testing is to determine the possibility of the fetus having a genetic aberration or birth defect. Prenatal screening consists of serum analytes screening with or without nuchal translucency (NT) scanning or with cell-free DNA (CfDNA) screening. Prenatal screening is recommended for all pregnant women regardless of the duration of pregnancy and maternal age or baseline risk. It is not advisable to screen with serum analytes and CfDNA concurrently to avoid discordant results. In developed countries, prenatal testing has been a part of routine antenatal care for a long time with adopting newer methods of screening and testing. In Bhutan, since the integration of the Safe Motherhood Program into primary healthcare in 1994, there has been an unprecedented improvement in obstetric care services. Almost all pregnant women attend antenatal and postnatal care, and 98.5% of deliveries are attended by trained health workers. The maternal mortality has reduced to 53 in 2023 from 770 per 100,000 live births in 1984 and the neonatal dealth has reduced to 15.2 per 1000 live births in 2023. However, despite improvements in the care of pregnant women, many babies are detected with congenital anomalies, syndromes, and birth defects during the postnatal period. Bhutan, being an underdeveloped country, could not initiate any form of prenatal testing program except for the anatomical scanning performed at 18-22 weeks of gestation. Early ultrasound dating scans, limited anomaly scanning, and growth scanning are offered to all pregnant women. There is a need to start centralized prenatal testing services in Bhutan to provide a comprehensive package of obstetric care to pregnant women. In addition, legal rights for parents to terminate severely deformed fetuses or severe genetic diseases before 24 weeks of pregnancy need to be established
A one health roadmap towards understanding and mitigating emerging Fungal Antimicrobial Resistance: fAMR.
The emergence of fungal antimicrobial resistance-fAMR-is having a growing impact on human and animal health, and food security. This roadmap charts inter-related actions that will enhance our ability to mitigate the risk of fAMR. As humanity's reliance on antifungal chemicals escalates, our understanding of their one-health consequences needs to scale accordingly if we are to protect our ability to manage the global spectrum of fungal disease sustainably
Risk of COVID-19 death for people with a pre-existing cancer diagnosis prior to COVID-19-vaccination: A systematic review and meta-analysis.
While previous reviews found a positive association between pre-existing cancer diagnosis and COVID-19-related death, most early studies did not distinguish long-term cancer survivors from those recently diagnosed/treated, nor adjust for important confounders including age. We aimed to consolidate higher-quality evidence on risk of COVID-19-related death for people with recent/active cancer (compared to people without) in the pre-COVID-19-vaccination period. We searched the WHO COVID-19 Global Research Database (20 December 2021), and Medline and Embase (10 May 2023). We included studies adjusting for age and sex, and providing details of cancer status. Risk-of-bias assessment was based on the Newcastle-Ottawa Scale. Pooled adjusted odds or risk ratios (aORs, aRRs) or hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were calculated using generic inverse-variance random-effects models. Random-effects meta-regressions were used to assess associations between effect estimates and time since cancer diagnosis/treatment. Of 23 773 unique title/abstract records, 39 studies were eligible for inclusion (2 low, 17 moderate, 20 high risk of bias). Risk of COVID-19-related death was higher for people with active or recently diagnosed/treated cancer (general population: aOR = 1.48, 95% CI: 1.36-1.61, I2 = 0; people with COVID-19: aOR = 1.58, 95% CI: 1.41-1.77, I2 = 0.58; inpatients with COVID-19: aOR = 1.66, 95% CI: 1.34-2.06, I2 = 0.98). Risks were more elevated for lung (general population: aOR = 3.4, 95% CI: 2.4-4.7) and hematological cancers (general population: aOR = 2.13, 95% CI: 1.68-2.68, I2 = 0.43), and for metastatic cancers. Meta-regression suggested risk of COVID-19-related death decreased with time since diagnosis/treatment, for example, for any/solid cancers, fitted aOR = 1.55 (95% CI: 1.37-1.75) at 1 year and aOR = 0.98 (95% CI: 0.80-1.20) at 5 years post-cancer diagnosis/treatment. In conclusion, before COVID-19-vaccination, risk of COVID-19-related death was higher for people with recent cancer, with risk depending on cancer type and time since diagnosis/treatment
Prevalence of hypertension and high-normal blood pressure among young adults in Zimbabwe: findings from a large, cross-sectional population-based survey.
BACKGROUND: Hypertension is the greatest driver of cardiovascular mortality and onset might be in youth. We aimed to investigate the prevalence of and risk factors for elevated blood pressure (hypertension ≥140 mm Hg systolic, ≥90 mm Hg diastolic, or both) and high-normal blood pressure (130-139 mm Hg systolic, 85-89 mm Hg diastolic, or both) among youth in Zimbabwe.
METHODS: A population-based, cross-sectional survey of randomly sampled youth aged 18-24 years from 24 urban and peri-urban communities in three provinces (Harare, Bulawayo, and Mashonaland East) in Zimbabwe was conducted between Oct 4, 2021, and June 2, 2022. Standardised questionnaires were used by research assistants to collect sociodemographic, behavioural, and clinical data. Height, bodyweight, and blood pressure were recorded. Three seated blood pressure measurements were taken at standardised timepoints during participant interview using a digital sphygmomanometer and cuffs sized on mid-upper arm circumference. The association of potential risk factors with elevated blood pressure was examined using multivariable logistic regression.
FINDINGS: 17 682 (94·4%) of 18 729 eligible participants were recruited, 17 637 (99·7%) of whom had complete data, and 16 883 (95·7%) of whom were included in the final study sample after excluding 754 (4·3%) pregnant women. The median age was 20 years (IQR 19-22), 9973 (59·1%) participants were female, and 6910 (40·9%) were male. The prevalence of hypertension was 7·4% (95% CI 7·0-7·8) and high-normal blood pressure was 12·2% (11·7-12·7). Overall, prevalence of hypertension was higher in men (8·7% [95% CI 8·2-9·6]) than in women (6·6% [6·0-6·9]), but with age increased to similar levels (at age 18 years 7·3% [6·2-8·6] and 4·3% [3·5-5·2]; at age 23-24 years 10·9% [9·3-12·6] and 9·5% [8·4-10·7] in men and women, respectively). After adjusting for factors associated with hypertension in the crude analysis, hypertension was associated with male sex (adjusted odds ratio 1·53 [95% CI 1·36-1·74]), increasing age (age 19-20 years 1·20 [1·00-1·44]; age 21-22 years 1·45 [1·20-1·75]; age 23-24 years 1·90 [1·57-2·30], vs age 18 years), and BMI of 30·0 kg/m2 or more (1·94 [1·53-2·47] vs 18·5-24·9 kg/m2). A BMI of 18·5 kg/m2 or less (0·79 [0·63-0·98] vs 18·5-24·9 kg/m2) and living with HIV (0·71 [0·55-0·92]) were associated with lower odds of hypertension.
INTERPRETATION: Prevalence of elevated blood pressure is high among urban and peri-urban youth in Zimbabwe and increases rapidly with age. Further research is needed to understand drivers of blood pressure elevation and the extent of target organ damage in youth in Zimbabwe and similar sub-Saharan African settings, to guide implementation of prevention and management strategies.
FUNDING: Wellcome Trust
Evaluating the sensitivity and specificity of Determine™ HIV-1/2 rapid test using a 0.01M phosphate-buffered saline produced at the Medical Research Council Unit The Gambia for the diagnosis of HIV.
Background: Human immunodeficiency virus (HIV) rapid diagnostic tests (RDTs) are widely used. However, buffer stockouts commonly lead to utilising non-approved liquids, resulting in errors. Our aim was to evaluate the diagnostic accuracy of an alternative buffer.
Methods: Paired Determine HIV-1/2 rapid tests with commercial buffer and locally produced 0.01M phosphate-buffered saline (PBS) were performed on consecutive consenting individuals requiring HIV testing. Serum samples were sent for confirmation through the local gold-standard algorithm (Murex HIV Ag/Ab, Hexagon HIV with/without Geenius HIV 1/2). Test accuracy, κ and exact McNemar's test were also carried out.
Results: Of 167 participants, 137 had confirmatory testing. The sensitivity of the Determine HIV-1/2 test using PBS compared with the gold standard was 100% (95% confidence interval [CI] 90.5 to 100) with a specificity of 98% (95% CI 92.9 to 99.8). The κ value was 0.94 compared with the gold standard and 0.92 compared with the Determine HIV-1/2 test using the commercial buffer. McNemar's test showed no evidence of differing sensitivities. Due to operational constraints, the study included 37 of the 49 positive cases as determined by the sample size calculation, resulting in an attained power of 80% instead of the intended 90%.
Conclusions: These results suggest that 0.01M PBS is an alternative solution for Determine HIV-1/2 when buffer stockouts occur
Getting our ducks in a row: The need for data utility comparisons of healthcare systems data for clinical trials.
BACKGROUND: Better use of healthcare systems data, collected as part of interactions between patients and the healthcare system, could transform planning and conduct of randomised controlled trials. Multiple challenges to widespread use include whether healthcare systems data captures sufficiently well the data traditionally captured on case report forms. "Data Utility Comparison Studies" (DUCkS) assess the utility of healthcare systems data for RCTs by comparison to data collected by the trial. Despite their importance, there are few published UK examples of DUCkS.
METHODS-AND-RESULTS: Building from ongoing and selected recent examples of UK-led DUCkS in the literature, we set out experience-based considerations for the conduct of future DUCkS. Developed through informal iterative discussions in many forums, considerations are offered for planning, protocol development, data, analysis and reporting, with comparisons at "patient-level" or "trial-level", depending on the item of interest and trial status.
DISCUSSION: DUCkS could be a valuable tool in assessing where healthcare systems data can be used for trials and in which trial teams can play a leading role. There is a pressing need for trials to be more efficient in their delivery and research waste must be reduced. Trials have been making inconsistent use of healthcare systems data, not least because of an absence of evidence of utility. DUCkS can also help to identify challenges in using healthcare systems data, such as linkage (access and timing) and data quality. We encourage trial teams to incorporate and report DUCkS in trials and funders and data providers to support them
Influence of COVID-19 on trust in routine immunization, health information sources and pandemic preparedness in 23 countries in 2023.
It is unclear how great a challenge pandemic and vaccine fatigue present to public health. We assessed perspectives on coronavirus disease 2019 (COVID-19) and routine immunization as well as trust in pandemic information sources and future pandemic preparedness in a survey of 23,000 adults in 23 countries in October 2023. The participants reported a lower intent to get a COVID-19 booster vaccine in 2023 (71.6%), compared with 2022 (87.9%). A total of 60.8% expressed being more willing to get vaccinated for diseases other than COVID-19 as a result of their experience during the pandemic, while 23.1% reported being less willing. Trust in 11 selected sources of vaccine information each averaged less than 7 on a 10-point scale with one's own doctor or nurse and the World Health Organization, averaging a 6.9 and 6.5, respectively. Our findings emphasize that vaccine hesitancy and trust challenges remain for public health practitioners, underscoring the need for targeted, culturally sensitive health communication strategies
Identifying Potential Determinants of Faecal Contamination on Domestic Floors in Three Settings in Rural Kenya: A Mixed Methods Analysis.
Observational evidence suggests that household floors may be an important domain for the transmission of enteric and parasitic infections. However, little work has been done to investigate how household floors can become contaminated with human and animal faeces. This study uses a mixed methods approach to postulate the proximal and distal determinants of household floor contamination with faeces in groups of rural villages in 3 counties in Kenya (Bungoma, Kwale and Narok). Quantitative data was collected through a household census and analysed descriptively and using mixed effects logistic regression models. Qualitative data was collected through unstructured observations of daily routines and in-depth interviews. These data were analysed thematically with case memos produced for routine activities that were hypothesised to be determinants of floor contamination. Possible proximal determinants of floor contamination included; (1) animal contact with floors; (2) child faeces disposal, and; (3) floor cleaning routines. Distal determinants are suggested to be rooted in the socioeconomic, environmental, and cultural context in which households were located and included; (1) the type and number of animals owned by households; (2) presence/absence of dedicated shelters for housing animals at night, which impacted whether sleeping or cooking areas were exposed to animals; (3) Accessibility of inside spaces to poultry and other roaming animals; (4) ownership of an improved floor; (5) ability of animals to access neighbours compounds; (6) seasonal changes in weather. These results will be of use in identifying the contexts in which faecal contamination of domestic floors may be contributing towards transmission of enteric and parasitic infections and in designing effective interventions to prevent this exposure
Principles for Service Delivery: Best Practices for Cervical Screening for Women with Disabilities.
Background: Cervical cancer screening is an important public health priority, yet many marginalized groups are not reached by existing programs. The nearly 700 million women with disabilities globally face substantial barriers in accessing cervical cancer screening and have lower coverage, yet there is limited evidence on what would support enhanced uptake among this population.
Methods: We updated a systematic review to estimate the disparity in screening uptake for women with disabilities. We conducted a scoping review to understand key barriers and the inclusion of disability in existing screening policies and possible solutions to improve screening uptakes amongst women with disabilities. We then formulated key principles for improved service delivery for this group, targeted predominantly at clinicians.
Results: Our updated review identified an additional five new studies, and confirmed that women with disabilities were less likely to be screened for cervical cancer (RR=0.65, 0.50-0.84). Disability-specific barriers to accessing screening pertained to: (1) knowledge and autonomy; (2) logistics; and (3) stigma and fear. Few guidelines included specific considerations for women with disabilities. Our scoping review showed that improving access to care must focus on improving (1) autonomy, awareness, and affordability; (2) human resources; and (3) health facility accessibility.
Conclusion: Screening programmes and health providers must ensure women with disabilities are included in cervical cancer screening programmes and thereby help to achieve their right to health and eliminate cervical cancer as a public health issue
Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in England.
Mathematical modelling has played an important role in offering informed advice during the COVID-19 pandemic. In England, a cross government and academia collaboration generated medium-term projections (MTPs) of possible epidemic trajectories over the future 4-6 weeks from a collection of epidemiological models. In this article, we outline this collaborative modelling approach and evaluate the accuracy of the combined and individual model projections against the data over the period November 2021-December 2022 when various Omicron subvariants were spreading across England. Using a number of statistical methods, we quantify the predictive performance of the model projections for both the combined and individual MTPs, by evaluating the point and probabilistic accuracy. Our results illustrate that the combined MTPs, produced from an ensemble of heterogeneous epidemiological models, were a closer fit to the data than the individual models during the periods of epidemic growth or decline, with the 90% confidence intervals widest around the epidemic peaks. We also show that the combined MTPs increase the robustness and reduce the biases associated with a single model projection. Learning from our experience of ensemble modelling during the COVID-19 epidemic, our findings highlight the importance of developing cross-institutional multi-model infectious disease hubs for future outbreak control