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The normative principle that every individual is equally entitled to continued life is a subject of debate in ethics, health economics and policy. We reconsider this principle in the context of setting priorities for healthcare interventions. When applied without restriction, the principle overlooks quality of life concerns entirely. However, we contend that it remains ethically relevant in certain situations, particularly when patients suffer from conditions unrelated to the therapeutic areas and treatments under consideration. Thus, we defend the principle while also emphasizing the need for its application within tight limits.
An introduction and overview of the mental health conditions relevant to people with intellectual disability. The chapter focuses on the evidence base to support or refute whether they suffer greater rates of mental health problems, Psychiatric classification and prescribing; Comparison tables of international classification of diseases (ICD) versions 10 and 11; and the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM) 4 and 5 and DC-LD.
Wildfires have escalated into a global threat with profound impacts on health, society, and the environment. The increasing frequency and intensity of these disasters, influenced by climate change and urban expansion, necessitate a comprehensive understanding of their direct health consequences.
Methods
This study conducted a retrospective analysis of global wildfire disasters from January 2000 to December 2023, utilizing data from the Emergency Events Database (EM-DAT). The analysis focused on the direct health outcomes—mortalities and injuries—excluding indirect effects such as smoke inhalation. Data were meticulously cleaned, categorized, and analyzed using quantitative methods, with statistical tests employed to validate the findings.
Results
The study identified 309 significant wildfire disasters, with forest fires accounting for 80% of these events. These incidents resulted in 1890 fatalities and 14 360 injuries, with the highest tolls observed in Southern Europe, Northern America, and the Australia-New Zealand region. A notable rise in wildfire incidents was observed over the study period, underscoring the critical intersections between climate change, urban expansion, and wildfire risks. The analysis highlighted significant geographical and temporal patterns, emphasizing the regions and factors contributing to heightened wildfire vulnerability.
Conclusions
The findings underscore the urgent need for robust disaster preparedness and effective mitigation strategies. Integrating advanced early warning systems and Traditional Ecological Knowledge into wildfire management practices is essential. The study calls for proactive public health measures and interdisciplinary approaches to address the multifaceted challenges posed by wildfires. Continuous research and policy formulation are crucial to protect vulnerable communities and mitigate the increasing threat of wildfires globally.
Edited by
David Kingdon, University of Southampton,Paul Rowlands, Derbyshire Healthcare NHS foundation Trust,George Stein, Emeritus of the Princess Royal University Hospital
This chapter emphasises the importance of the physical health history to holistic psychiatric case assessment. It describes the general approach to this and sets this particularly in the context of patients with serious or severe mental illness. Such patients have substantially increased morbidity and mortality from physical causes compared to the general population, and this increased mortality has been clearly documented for nearly two hundred years. A practical, collaborative and optimistic multilevel approach to attempting to make a difference to these outcomes is described, concluding with fourteen broad, practical areas for achievable interventions.
Despite significant research, the direct and indirect causes of a population decline in the eponymous foragers of the Late Jōmon period (c. 4500–2300 BP) in Japan remains undetermined. Here, the authors examine the impact of nutritional stress, using scurvy as a case study, on Middle and a Late/Final Jōmon populations. While an increase in the prevalence of scurvy between the time periods is apparent, no associated change in age at death was observed. The authors argue that the Late Jōmon adapted their food-sharing practices in times of ecological stress, and they highlight the need to consider morbidity and mortality together in palaeopathological assessments and the growing evidence for a non-nutritional cause in the Late Jōmon population decline.
In this paper, we construct interpretable zero-inflated neural network models for modeling hospital admission counts related to respiratory diseases among a health-insured population and their dependants in the United States. In particular, we exemplify our approach by considering the zero-inflated Poisson neural network (ZIPNN), and we follow the combined actuarial neural network (CANN) approach for developing zero-inflated combined actuarial neural network (ZIPCANN) models for modeling admission rates, which can accommodate the excess zero nature of admission counts data. Furthermore, we adopt the LocalGLMnet approach (Richman & Wüthrich (2023). Scandinavian Actuarial Journal, 2023(1), 71–95.) for interpreting the ZIPNN model results. This facilitates the analysis of the impact of a number of socio-demographic factors on the admission rates related to respiratory disease while benefiting from an improved predictive performance. The real-life utility of the methodologies developed as part of this work lies in the fact that they facilitate accurate rate setting, in addition to offering the potential to inform health interventions.
Bone conduction hearing implants are a well-established method of hearing rehabilitation in children and adults. This study aimed to review any changes in provision in England.
Methods
The total number of bone conduction hearing implantations performed was analysed from 2012 to 2021 utilising Hospital Episode Statistics data for England.
Results
The total number of procedures has increased by 58 per cent. One-stage bone conduction hearing implantations in adults accounts for the largest proportion of this increase (93 per cent of the total). The number performed in children has remained stable and accounts for 73 per cent (n = 433) of all two-stage procedures.
Conclusion
The data show that bone conduction hearing implant surgery is becoming increasingly popular, particularly in adults. This has correlated with the increase in availability, national recommendations and choice of devices.
This chapter considers the major causes of mortality and morbidity for adults and describes the significant burden of these non-communicable diseases, their risk factors and potential public health action. While the conditions discussed are relevant to other age groups, those included – cancers, cardiovascular disease, diabetes, obesity, mental health problems and long COVID – have particular relevance for the large proportion of the population of working age. This chapter also focuses on specific actions or policies which can be employed to address each of these non-communicable diseases.
To effectively target public health interventions for greatest impact, it is essential that public health practitioners have a clear understanding of the populations they work with. As described in Chapter 1, understanding these populations, their health status and health needs draws on skills from several disciplines, including demography, epidemiology and statistics. Brought together, these skills allow the practitioner to understand the characteristics of the population of interest, the key health issues that it faces and the broader factors that have a particular influence on the health of that population. These broader factors are generally referred to as the wider determinants of health or the social determinants of health. Information is also vital in allowing practitioners to assess the impact of public health interventions.
That differences in health outcomes exist between groups is unsurprising and, in some cases, seems subject to ‘natural law’. Such ‘common sense’, arguably unavoidable differences are termed ‘health disparities’ – a term usually understood to be value-neutral. By contrast, more complex differences in health outcomes which seem to derive from differences in opportunities or systemic bias are deemed ‘unfair’ and are referred to as ‘health inequalities’ or ‘health inequities’.
This chapter delves further into how we describe health inequalities and different measures and data that illustrate these differences. Causes and mechanisms of inequality are explored, followed by examples of inequality across groups with certain population characteristics, including ethnicity; gender, sexual orientation and gender identity; disability; and socially excluded groups. Finally, approaches and strategies for reducing health inequalities are presented, with potential actions described at the micro-, meso- and macro-levels.
This chapter starts by considering the key differences that make public health practice focused on children unique to that focused on adults and older people and emphasizes the importance of early intervention as part of a life-course approach. The demography of the health of children is detailed, followed by a description of the major causes of ill health in children and young people, key public health challenges for this age group and their families and a summary of effective public health interventions to improve health and well-being and reduce inequalities. Three case studies are offered: the impact of the COVID-19 pandemic; childhood obesity; and children’s and adolescents’ mental health. These highlight the complexity of these major public health challenges, how the tools described in Part 1 can be used to understand them and the importance of strategic and system-wide approaches.
People with severe mental illness (SMI) die prematurely, mostly due to preventable causes.
Objective
To examine multimorbidity and mortality in people living with SMI using linked administrative datasets.
Method
Analysis of linked electronically captured routine hospital administrative data from Northern Ireland (2010–2021). We derived sex-specific age-standardised rates for seven chronic life-limiting physical conditions (chronic kidney disease, malignant neoplasms, diabetes mellitus, chronic obstructive pulmonary disease, chronic heart failure, myocardial infarction, and stroke) and used logistic regression to examine the relationship between SMI, socio-demographic indicators, and comorbid conditions; survival models quantified the relationship between all-cause mortality and SMI.
Results
Analysis was based on 929,412 hospital patients aged 20 years and above, of whom 10,965 (1.3%) recorded a diagnosis of SMI. Higher likelihoods of an SMI diagnosis were associated with living in socially deprived circumstances, urbanicity. SMI patients were more likely to have more comorbid physical conditions than non-SMI patients, and younger at referral to hospital for each condition, than non-SMI patients. Finally, in fully adjusted models, SMI patients had a twofold excess all-cause mortality.
Conclusion
Multiple morbidities associated with SMI can drive excess mortality. While SMI patients are younger at referral to treatment for these life-limiting conditions, their relatively premature death suggests that these conditions are also quite advanced. There is a need for a more aggressive approach to improving the physical health of this population.
Individuals with bipolar disorders (BD) are at risk of premature death, mainly due to medical comorbidities. Childhood maltreatment might contribute to this medical morbidity, which remains underexplored in the literature.
Methods
We assessed 2891 outpatients with BD (according to DSM-IV criteria). Childhood maltreatment was assessed using the Childhood Trauma Questionnaire. Lifetime diagnoses for medical disorders were retrospectively assessed using a systematic interview and checked against medical notes. Medical morbidity was defined by the sum of medical disorders. We investigated associations between childhood maltreatment (neglect and abuse) and medical morbidity while adjusting for potential confounders.
Results
One quarter of individuals had no medical comorbidities, while almost half of them had at least two. Multivariable regression showed that childhood maltreatment (mainly abuse, but also sexual abuse) was associated with a higher medical morbidity. Medical morbidity was also associated with sex, age, body mass index, sleep disturbances, lifetime anxiety disorders and lifetime density of mood episodes. Childhood maltreatment was associated with an increased prevalence of four (i.e. migraine/headache, drug eruption, duodenal ulcer, and thyroid diseases) of the fifteen most frequent medical disorders, however with no difference in terms of age at onset.
Conclusions
This large cross-sectional study confirmed a high medical morbidity in BD and its association with childhood maltreatment. The assessment of childhood maltreatment in individuals with BD should be systematically included in routine care and the potential impact on physical health of psycho-social interventions targeting childhood maltreatment and its consequences should be evaluated.