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This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6–18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational interviewing techniques and behavioural nudges for community gatekeepers using the CCDT. This mixed-methods study was conducted from January to May 2023 in Palorinya refugee settlement in Uganda. We evaluated (1) the added value of the CCDT+ in improving the accuracy of detection and mental health service utilization compared to standard CCDT, and (2) implementation outcomes of the CCDT+. Of the 1026 children detected, 801 (78%) sought help, with 656 needing mental health care (PPV = 0.82; 95% CI: 0.79, 0.84). The CCDT+ significantly increased detection accuracy, with 2.34 times higher odds compared to standard CCDT (95% CI: 1.41, 3.83). Additionally, areas using the CCDT+ had a 2.05-fold increase in mental health service utilization (95% CI: 1.09, 3.83). The CCDT+ shows promise as an embedded quality-optimization process for the detection of mental health problems among children and enhance help-seeking, potentially leading to more efficient use of mental health care resources.
Contrast-induced encephalopathy (CIE) is an adverse event associated with diagnostic and therapeutic endovascular procedures. Decades of animal and human research support a mechanistic role for pathological blood-brain barrier dysfunction (BBBd). Here, we describe an institutional case series and review the literature supporting a mechanistic role for BBBd in CIE.
Methods:
A literature review was conducted by searching MEDLINE, Web of Science, Embase, CINAHL and Cochrane databases from inception to January 31, 2022. We searched our institutional neurovascular database for cases of CIE following endovascular treatment of cerebrovascular disease during a 6-month period. Informed consent was obtained in all cases.
Results:
Review of the literature revealed risk factors for BBBd and CIE, including microvascular disease, pathological neuroinflammation, severe procedural hypertension, iodinated contrast load and altered cerebral blood flow dynamics. In our institutional series, 6 of 52 (11.5%) of patients undergoing therapeutic neuroendovascular procedures developed CIE during the study period. Four patients were treated for ischemic stroke and two patients for recurrent cerebral aneurysms. Mechanical stenting or thrombectomy were utilized in all cases.
Conclusion:
In this institutional case series and literature review of animal and human data, we identified numerous shared risk factors for CIE and BBBd, including microvascular disease, increased procedure length, large contrast volumes, severe intraoperative hypertension and use of mechanical devices that may induce iatrogenic endothelial injury.
The GINI project investigates the dynamics of inequality among populations over the long term by synthesising global archaeological housing data. This project brings archaeologists together from around the world to assess hypotheses concerning the causes and consequences of inequality that are of relevance to contemporary societies globally.
This paper describes the development process of a mobile app-based version of the World Health Organization mental health Gap Action Programme Intervention Guide, testing of the app prototypes, and its functionality in the assessment and management of people with mental health conditions in Nepal. Health workers’ perception of feasibility and acceptability of using mobile technology in mental health care was assessed during the inspiration phase (N = 43); the ideation phase involved the creation of prototypes; and prototype testing was conducted over multiple rounds with 15 healthcare providers. The app provides provisional diagnoses and treatment options based on reported symptoms. Participants found the app prototype useful in reminding them of the process of assessment and management of mental disorders. Some challenges were noted, these included a slow app prototype with multiple technical problems, including difficulty in navigating ‘yes’/‘no’ options, and there were challenges reviewing detailed symptoms of a particular disorder using a “more information” icon. The initial feasibility work suggests that if the technical issues are addressed, the e-mhGAP warrants further research to understand if it is a useful method in improving the detection of people with mental health conditions and initiation of evidence-based treatment in primary healthcare facilities.
This work explores the use of Trusted Research Environments for the secure analysis of sensitive, record-level data on local coronavirus disease-2019 (COVID-19) inequalities and economic vulnerabilities. The Local Data Spaces (LDS) project was a targeted rapid response and cross-disciplinary collaborative initiative using the Office for National Statistics’ Secure Research Service for localized comparison and analysis of health and economic outcomes over the course of the COVID-19 pandemic. Embedded researchers worked on co-producing a range of locally focused insights and reports built on secure secondary data and made appropriately open and available to the public and all local stakeholders for wider use. With secure infrastructure and overall data governance practices in place, accredited researchers were able to access a wealth of detailed data and resources to facilitate more targeted local policy analysis. Working with data within such infrastructure as part of a larger research project involved advanced planning and coordination to be efficient. As new and novel granular data resources become securely available (e.g., record-level administrative digital health records or consumer data), a range of local policy insights can be gained across issues of public health or local economic vitality. Many of these new forms of data however often come with a large degree of sensitivity around issues of personal identifiability and how the data is used for public-facing research and require secure and responsible use. Learning to work appropriately with secure data and research environments can open up many avenues for collaboration and analysis.
Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. However, applications of machine learning in causal inference are increasingly prevalent. This Element provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data. We show how machine learning can be useful for conducting robust causal inference and provide a theoretical foundation researchers can use to understand and apply new methods in this rapidly developing field. We then demonstrate two specific methods – the prediction rule ensemble and the causal random forest – for characterizing treatment effect heterogeneity in survey experiments and testing the extent to which such heterogeneity is robust to out-of-sample prediction. We conclude by discussing limitations and tradeoffs of such methods, while directing readers to additional related methods available on the Comprehensive R Archive Network (CRAN).
Ever wondered why your life and health can sometimes be so hard to control? Or why it seems so easy for other people? Mark Hanson and Lucy Green draw on their years of experience as scientists and educators to cut through the usual information on genetics and lifestyle to reveal the secrets of early development which start to make each of us unique, during our first 1,000 days from the moment of conception. Some surprising discoveries, based on little-known new research, show how events during our first 1,000 days make each of us who we are and explain how we control our bodies, processes that go way beyond just the genes which we inherited. Provoking new ways of thinking about being parents, this book empowers individuals and society to give the next generation the gift of a good start to life and future health.
Providing the healthiest and safest environment in the first 1,000 days of life is the greatest gift which parents can give to their children. We return to the theme of control over our lives to ask who is in control of this gift, and whether today’s medicine and public health hold the answers. We explore the dilemmas facing today’s governments and the decisions that individuals make in terms of personal responsibility when maternal and child health are not prioritised by health policy-makers. We discuss sexual and reproductive rights, why women’s health has not been prioritised – especially during the pandemic – and reasons for high maternal mortality in some countries. We offer an optimistic close to the book; a call to action. We explain that, while planning for parenthood is important, the actions needed do not have to be sustained over a long period. We emphasise the many opportunities which adolescents and young people can seize as the parents of the future. This hope can generate the resolve to make the first 1,000 days of life as good as possible for the next generation. Knowing the secrets of our first 1,000 days is a vital part of this.
Why is birth so dangerous, even today, with modern medicine? Through historical anecdote and a contemporary case history we explore this question, discussing the process of birth and what can go wrong. By thinking about who is in control of labour – is it the mother or her fetus? – we think about how a couple might prepare for birth. The challenge posed by birth makes us look to human evolution for answers, and we describe the insight it gives into birth in some low-resource settings around the world. We tackle the question of the rising numbers of caesarean sections around the world and the possible consequences. Although it may be widely believed that a smaller baby would mean a less difficult birth, we go on to explore the risks of being small for the survival of the baby alongside new research revealing how the mother’s body limits the growth of her baby inside the womb. We discuss whether the growth of the fetus is set by the genes which the mother or the father have passed on, mother’s size, or her environment. This leads to how the fetus develops and what controls this, the focus of the next chapter.
Here we uncover the mysteries of the baby as it develops in the womb, discussing how fetal development is controlled. We give insights into aspects of pregnancy not widely known, from the fetus starting to breathe months before it is born, to the question of whether it sleeps – and dreams. We discuss the ways in which information about the mother’s life and her environment affect the baby’s development. Although birth may seem the first major milestone for a baby, we emphasise that many other milestones have been passed before that, inside the womb, out of sight but over which parents can have substantial influence. We give insights into new discoveries about how the organs of the fetal body develop in prediction of the world in which that individual ‘expects’ to live, and what happens when the prediction turns out to be wrong. The idea that the fetus is preparing for life after birth will get the reader thinking about the long-term consequences of the way a fetus develops. Each of us is unique as a result of our development – and nobody is perfect. Our unique development starts from the moment of conception, which introduces the next chapter on sex.
None of us can really remember anything about our lives before the age of two years. How much of what makes us what we are has been set by that time? We challenge the widely-accepted idea that what we are is ‘determined’ by inherited genes and we start to explore how interaction with parents/carers establishes our behaviour. We use examples drawn from fiction and the real world to explore how the brain learns from the conditions in early life. We explain why this adaptability underpins development of our senses, our behaviour and our self-control. This introduces control as one of the themes of the book – how much we are in control of our bodies and how control develops based on environmental cues. We question what effect today’s exposure to digital media may have on the developing brain, and explore new ideas about the development of defence mechanisms, from immunity to the gut microbiome. Through the quote from JM Barrie, author of ‘Peter Pan’: ‘You always know after you are two. Two is the beginning of the end’, we ask whether age two is the beginning of the end or the end of the beginning of development.
We provide food for thought on some pressing questions about health inequalities – why some of us maintain good health into old age, and the inequity of infectious and Non-Communicable Diseases, both very relevant now to COVID-19. We use historical perspectives and modern examples to discuss the population explosion, social determinants of health and how development over the first 1,000 days influences later health. Some ideas are likely to be quite novel to the reader, such as the risk of disease being increased by ‘mismatch’ between our developmental environment and where and how we live later. This takes the story across the globe, from high- to low-income countries, where early development is often less healthy but economic progress is changing environments fast. Can young people in such settings escape, or has the anvil on which their bodies were forged in early life left them with unalterable inequalities? We ask who needs to ‘own’ these problems and why solutions to them have been slow to emerge. The wider, global perspective, sets the scene for the final chapter which focuses on what we can all do as individuals now that we know some of the secrets of our first 1,000 days.