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To estimate the health and economic burden of non-communicable diseases (NCDs) attributed to alcohol consumption in 2019 for the Brazilian Unified Health System (SUS) stratified by states. Observational, descriptive, and ecological study. We used population attributable fractions (PAFs) of NCDs due to alcohol consumption from the Global Burden of Disease study. We applied the PAFs to the costs of hospitalizations and outpatient procedures of medium to high complexity paid by SUS for each outcome, obtained from official databases. We also calculated the disability-adjusted life years (DALYs) and mortality caused by alcohol-related NCDs. We converted the costs into international dollars (Int$) using the purchasing parity power in 2019. Alcohol-related NCDs accounted for 8.48% of deaths and 7.0% of DALYs among men, and 1.33% of deaths and 1.6% of DALYs among women. The main diseases were substance use, digestive, and neoplastic diseases. The SUS spent Int$202.0 million on alcohol-related NCDs, mostly on hospitalizations. The highest health burden was observed in the states of the Northeast region, and the highest expenses in the states from the South. The burden and cost values varied by sex, age group, and state. The study showed that alcohol consumption has a significant impact on Brazilian population morbidity and mortality and SUS expenditures, especially among men. These results can support policies for the prevention and control of alcohol consumption and health promotion at the subnational level, prioritizing strategies that are more appropriate to local realities. [ABSTRACT FROM AUTHOR]

Background: Despite the growing adoption of digital health tools as a means to support mental health, many individuals remain unaware of the variety of mental health resources available to them through this format. To address this knowledge gap, this study advanced the design, development, and implementation of a text-based service called SaskWell to raise awareness of evidence based mental health resources and create more immediate connections to these tools. The two primary objectives of the study were to assess and evaluate the adoption of SaskWell by focusing on user acceptance, satisfaction, and perceived benefit, and to identify factors which contributed to user engagement with the SaskWell text-based service. Both quantitative and qualitative data contributed to the final study results. Results: This study utilized a co-designed text-messaging service to provide residents of Saskatchewan an important connection to digital mental health and wellness resources during the height of the COVID-19 pandemic. Using the RE-AIM framework as an implementation guide, four distinct cycles of SaskWell were delivered with modifications to the service in each subsequent cycle based on user engagement, feedback, and the direction of a community advisory group. Quantitative data was collected through user engagement text message response data, along with enrollment and exit surveys, while semi-structured interviews served as the primary means of qualitative data collection. In addition to the quantitative user data, these user interviews resulted in themes exploring motivation to sign-up for the service, perceptions of texting as a mechanism to deliver mental health resources, the impact of SaskWell on mental health and well-being, and beliefs on the future potential of text-based mental health supports. Conclusions: Both the user engagement survey and the qualitative data supported the worth of ongoing efforts to refine and extend the use of text messaging as a means to engage citizens around the awareness and use of digital mental health and wellness resources. As the pandemic has receded into the background in many peoples' daily lives, for healthcare providers, and others who continue to be impacted more heavily by the persistent challenges of this global event, this type of service may continue to be timely. [ABSTRACT FROM AUTHOR]

Background: In 2014, the Affordable Care Act Medicaid Expansion (ME) increased Medicaid eligibility for adults with an income level up to 138% of the federal poverty level. In this study, we examined the impact of ME on mortality and amputation in patients with peripheral artery disease (PAD). Methods: The 100% MedPAR and Part-B Carrier files from 2011 to 2018 were queried to identify all fee-for-service Medicare beneficiaries with PAD using International Classification of Diseases codes. Our primary exposure was whether a state had adopted the ME on January 1, 2014. Our primary outcomes were the change in all-cause 1-year mortality and leg amputation. We used a state-level difference-in-differences (DID) analysis to compare the rates of the primary outcomes among patients who were in states (including the District of Columbia) who adopted ME (n = 25) versus those who were in states that did not (n = 26). We performed a subanalysis stratifying by sex, race, region, and dual-eligibility status. Results: Over the 8-year period, we studied 37,743,929 patients. The average unadjusted 1-year mortality decreased from 2011 to 2018 in both non-ME (9.5% to 8.7%, p < 0.001) and ME (9.1% to 8.3%, p < 0.001) states. The average unadjusted 1-year amputation rate did not improve in either the non-ME (0.86% to 0.87%, p = 0.17) or ME (0.69% to 0.69%, p = 0.65) states. Across the entire cohort, the DID model revealed that ME did not lead to a significant change in mortality (p = 0.15) or amputation (p = 0.34). Conclusion: Medicaid Expansion was not associated with reduced mortality or leg amputation in Medicare beneficiaries with PAD. [ABSTRACT FROM AUTHOR]

Macro-level events such as elections can improve or harm population health across existing axes of stratification through policy changes and signals of inclusion or threat. This study investigates whether rates of, and disparities in, adverse birth outcomes between racialized and nativity groups changed after Donald Trump's November 2016 election, a period characterized by increases in xenophobic and racist messages, policies, and actions in the United States. Using data from 15,568,710 U.S. births between November 2012 and November 2018, we find that adverse birth outcomes increased after Trump's election among U.S.- and foreign-born mothers racialized as Black, Hispanic, and Asian and Pacific Islander (API), compared with the period encompassing the two Obama presidencies. Results for Whites suggest no change or a slight decrease in adverse outcomes following Trump's election, yet this finding was not robust to checks for seasonality. Black–White, Hispanic–White, and API–White disparities in adverse birth outcomes widened among both U.S.- and foreign-born mothers after Trump's election. Our findings suggest that Trump's election was a racist and xenophobic macro-level political event that undermined the health of infants born to non-White mothers in the United States. [ABSTRACT FROM AUTHOR]

Aim: To describe the latest scientific evidence regarding community-based interventions performed on patients in need of palliative care worldwide. Introduction and background: Given the rise of chronic diseases, their complexities and the fragility of patients, we are facing around 56.8 million people in need of palliative care. Community-based healthcare, particularly palliative care, can address social inequalities and improve the biopsychosocial health of disadvantaged populations. Therefore, primary care, as the main health referent in the community, has a central role in the care of these patients. Methods: This is an integrative review from January 2017 to June 2022 that follows the PRISMA statement and has been registered in PROSPERO. PubMed, Cuiden, the Web of Science (WoS), Cochrane and LILACS were the five databases searched. The scientific quality assessment of the articles was carried out following the CASPe methodology. Study selection was carried out by two researchers, A.V.L. and J.M.C.T., using the inclusion and exclusion criteria mentioned below. In cases of doubt or discrepancy, a third author (J.R.S.) was consulted. Results: The interventions mentioned in the 16 articles analysed were classified under the following categories: music therapy, laughter therapy, spiritual and cognitive interventions, aromatherapy, interdisciplinary and community-based teams, advance care planning and community, volunteering, telemedicine and care mapping. Example: Educating people to talk about different ethical issues could improve their quality of life and help develop more compassionate cities. Conclusions: We have identified interventions that are easily accessible (laughter therapy, telemedicine or music therapy), simple enough to be carried out at the community level and do not incur high costs. This is why they are recommended for people with palliative care needs in order to improve their quality of life. [ABSTRACT FROM AUTHOR]

Because most human activities take place inside, indoor air quality is essential to human health. Numerous factors contribute to Kosovo's air pollution, including traffic, industrial emissions, aging thermal power plants, home heating, and other hazardous pollutants. The National Institute of Public Health and the WHO conducted a representative household survey to identify the most exposed and susceptible households, targeting two thousand households. Data from this survey were analyzed regarding the relationship between residential air quality predictors and health symptoms in Kosovo inhabitants. Effects from cooking fuel used on headaches, dizziness, and fatigue were somewhat stronger in females and type of heating seemed a little bit more effective in winter. The latter was also true for respiratory problems and heart disease, lending some credence to the causality of the findings. Thus, cooking devices and energy sources for both heating and cooking seem to have an effect on the health of Kosovars. Although the effect estimates were, in general, moderate with adjusted odds ratios in the magnitude of 2 to 3, they only explained a small part of the variation, with pseudo-R² often only reaching less than 10% and rarely more than 20%. In order to improve indoor air quality, regular monitoring and supervision systems should be established across the nation. [ABSTRACT FROM AUTHOR]

Objective Data Sources and Study Setting Study Design Data Collection/Extraction Methods Principle Findings Conclusions To evaluate whether the Preventive Health Inventory (PHI)—a virtual care management intervention addressing hypertension and diabetes management implemented nationally in the Veterans Health Administration (VHA)—was delivered equitably among racial/ethnic groups and if existing inequities in hypertension and diabetes outcomes changed following PHI receipt.We used data from the VHA Corporate Data Warehouse among Veterans enrolled in primary care nationally from February 28, 2021 to March 31, 2022.We used logistic regression to evaluate PHI receipt and hypertension and diabetes outcomes after PHI implementation among Veterans with hypertension and/or diabetes. We conducted unadjusted analyses and analyses adjusting for clinic fixed effects using dummy variables.We identified Veterans engaged in primary care with documented race/ethnicity and hypertension and/or diabetes diagnoses in all months during the study period.Prior to PHI, Non‐Hispanic Black (NHB) (42.2%) and Hispanic (39.5%) Veterans were less likely to have controlled hypertension vs. Non‐Hispanic White (NHW) Veterans (47.5%); NHB Veterans (32.9%) were more likely to have uncontrolled diabetes vs. NHW Veterans (25.1%). Among 1,805,658 Veterans, 5.7% NHW (N = 68,744), 5.6% NHB (N = 22,580), 10.2% Hispanic (N = 13,313), 6.2% Asian/Pacific Islander/Native Hawaiian (N = 1868), 5.1% American Indian/Native Alaskan (N = 744), and 5.6% multiple races or other race (N = 1647) Veterans received PHI. We found no significant racial inequities in PHI receipt in unadjusted and adjusted models. Hypertension and diabetes measures improved more in the intervention group compared with the group who did not receive the intervention. There were no new or worsened inequities after PHI, and in pre‐/post‐intervention analysis, among NHB Veterans, the inequity in uncontrolled diabetes improved by 1.9 percentage points (95% CI 0.2, 3.6).Our findings suggest the PHI intervention was equitably deployed across race/ethnicity groups without significantly impacting most existing inequities in diabetes and hypertension. [ABSTRACT FROM AUTHOR]

The impacts of human activities and climate change on animal populations often take considerable time before they are reflected in typical measures of population health such as population size, demography, and landscape use. Earlier detection of such impacts could enhance the effectiveness of conservation strategies, particularly for species with slow population growth. Passive acoustic monitoring is increasingly used to estimate occupancy and population size, but this tool can also monitor subtle shifts in behavior that might be early indicators of changing impacts. Here we use data from an acoustic grid, monitoring 1250 km2 of forest in northern Republic of Congo, to study how forest elephants (Loxodonta cyclotis) assess risk associated with human impacts across a landscape that includes a national park as well as active and inactive logging concessions. By quantifying emerging patterns of behavior at the population level, arising from individual-based decisions, we gain an understanding of how elephants perceive their landscape along an axis of human disturbance. Forest elephants in relatively undisturbed forests are active nearly equally day and night. However, they become more nocturnal when exposed to a perceived risk such as poaching. We assessed elephant perception of risk by monitoring changes in the likelihood of nocturnal vocal activity relative to differing levels of human activity. We show that logging is perceived to be a risk on moderate time and small spatial scales, but with little effect on elephant density. However, risk avoidance persisted in areas with relatively easy access to poachers and in more open habitats where poaching has historically been concentrated. Increased nocturnal activity is a common response in many animals to human intrusion on the landscape. Provided a species is acoustically active, passive acoustic monitoring can measure changes in human impact at early stages of such change, informing management priorities. [ABSTRACT FROM AUTHOR]

Background Objectives Methods Results Conclusion Results of population‐level studies examining the effect of the COVID‐19 pandemic on the risks of perinatal death have varied considerably.To explore trends in the risk of perinatal death among pregnancies beginning prior to and during the pandemic using a pregnancy cohort approach.This secondary analysis included data from singleton pregnancies ≥20 weeks' gestation in Alberta, Canada, beginning between 5 March 2017 and 4 March 2021. Perinatal death (i.e. stillbirth or neonatal death) was the primary outcome considered. The risk of this outcome was calculated for pregnancies with varying gestational overlap with the pandemic (i.e. none, 0–20 weeks, entire pregnancy). Interrupted time series analysis was used to further determine temporal trends in the outcome by time period of interest.There were 190,853 pregnancies during the analysis period. Overall, the risk of perinatal death decreased with increasing levels of pandemic exposure; this outcome was experienced in 1.0% (95% confidence interval [CI] 0.9, 1.0), 0.9% (95% CI 0.8, 1.1) and 0.8% (95% CI 0.7, 0.9) of pregnancies with no overlap, partial overlap and complete pandemic overlap respectively. Pregnancies beginning during the pandemic that had high antepartum risk scores less frequently led to perinatal death compared to those beginning prior; 3.3% (95% CI 2.7, 3.9) versus 5.7% (95% CI 5.0, 6.5) respectively. Interrupted time‐series analysis revealed a decreasing temporal trend in perinatal death for pregnancies beginning ≤40 weeks prior to the start of the COVID‐19 pandemic (i.e. with pandemic exposure), with no trend for pregnancies beginning >40 weeks pre‐pandemic (i.e. no pandemic exposure).We observed a decrease in perinatal death for pregnancies overlapping with the COVID‐19 pandemic in Alberta, particularly among those at high risk of these outcomes. Specific pandemic control measures and government response programmes in our setting may have contributed to this finding. [ABSTRACT FROM AUTHOR]

Background: According to the World Health Organization (WHO), mental health is 'a state of wellbeing in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community'. Any population metric of mental health and wellbeing should therefore not only reflect the presence or absence of mental challenges but also a person's broad mental capacity and functioning across a range of cognitive, social, emotional and physical dimensions. However, while existing metrics of mental health typically emphasize ill health, existing metrics of wellbeing typically focus on happiness or life satisfaction, indirectly infer wellbeing from a selection of social and economic factors, or do not reflect a read out of the full spectrum of mental functioning that impacts people's everyday life and that spans the continuum from distress and the inability to function, through to the ability to function to one's full potential. Methods: We present the Mental Health Quotient, or MHQ, a population metric of mental wellbeing that comprehensively captures mental functioning, and examine how it relates to functional productivity. We describe the 47-item assessment and the life impact rating scale on which the MHQ metric is based, as well as the rationale behind each step of the nonlinear algorithm used to construct the MHQ metric. Results: We demonstrate a linear relationship between the MHQ metric and productive life function where movement on the scale from any point or in any direction relates to an equivalent shift in productive ability at the population level, a relationship that is not borne out using simple sum scores. We further show that this relationship is the same across all age groups. Finally, we demonstrate the potential for the types of insights arising from the MHQ metric, offering examples from the Global Mind Project, an initiative that aims to track and understand our evolving mental wellbeing, and since 2020 has collected responses from over 1 million individuals across 140 + countries. Conclusion: The MHQ is a metric of mental wellbeing that aligns with the WHO definition and is amenable to large scale population monitoring. [ABSTRACT FROM AUTHOR]

Stressors associated with urban habitats have been linked to poor wildlife health but whether a general negative relationship between urbanization and animal health can be affirmed is unclear. We conducted a meta-analysis of avian literature to test whether health biomarkers differed on average between urban and non-urban environments, and whether there are systematic differences across species, biomarkers, life stages and species traits. Our dataset included 644 effect sizes derived from 112 articles published between 1989 and 2022, on 51 bird species. First, we showed that there was no clear impact of urbanization on health when we categorized the sampling locations as urban or non-urban. However, we did find a small negative effect of urbanization on health when this dichotomous variable was replaced by a quantitative variable representing the degree of urbanization at each location. Second, we showed that the effect of urbanization on avian health was dependent on the type of health biomarker measured as well as the individual life stage, with young individuals being more negatively affected. Our comprehensive analysis calls for future studies to disentangle specific urban-related drivers of health that might be obscured in categorical urban versus non-urban comparisons. [ABSTRACT FROM AUTHOR]

Objective: To describe the workflow, reach, cost, and self‐reported quit rates for an opt‐out tobacco treatment program (TTP) for patients seen in 43 oncology outpatient clinics. Methods: Between May 25, 2021, and December 31, 2022, adult patients (≥18 years) visiting clinics affiliated with the Medical University of South Carolina Hollings Cancer Center were screened for smoking status. Those currently smoking were referred to a telehealth pharmacy‐assisted TTP. An attempt was made to contact referred patients by phone. Patients reached were offered free smoking cessation counseling and a 2‐week starter kit of nicotine replacement medication. A random sample of 420 patients enrolled in the TTP were selected to participate in a telephone survey to assess smoking status 4 to 12 months after enrollment. Results: During the reference period 35,756 patients were screened and 9.3% were identified as currently smoking. Among the 3319 patients referred to the TTP at least once, 2393 (72.1%) were reached by phone, of whom 426 (12.8%) were ineligible for treatment, 458 (13.8%) opted out of treatment, and 1509 (45.5%) received treatment. More than 90% of TTP enrollees smoked daily, with an average of 13.1 cigarettes per day. Follow‐up surveys were completed on 167 of 420 patients, of whom 23.4% to 33.5% reported not smoking; if all nonresponders to the survey are counted as smoking, the range of quit rates is 9.3% to 13.3%. Conclusion: The findings demonstrate the feasibility of reaching and delivering smoking cessation treatments to patients from a diverse set of geographically dispersed oncology clinics. This study describes the workflow, reach, cost, and self‐reported abstinence rates for an opt‐out tobacco treatment program (TTP) for patients seen in 43 Hollings Cancer Center outpatient clinics over a 19‐month period. Using electronic health records 9.3% of patients were classified as currently smoking, and among the 3319 patients referred to the TTP at least once, 2393 (72.1%) were reached by phone and 1509 (45.5%) received treatment. Among a random sample of 420 patients surveyed 4 to 12 months after enrollment in the TTP, 23.4% to 33.5% reported not smoking; if all nonresponders to the survey are counted as smoking, the range of quit rates is 9.3% to 13.3%. [ABSTRACT FROM AUTHOR]

Purpose: Youth sport (YS) is a community system for promoting children’s physical activity (PA). Studies have examined mean PA during YS practices, but few have examined inequalities in the distribution of PA among children during practice time. This study examined PA inequality in time-segmented YS practices and differences in inequality by time segment characteristics. Methods: Children’s PA and YS practices were examined using accelerometer and video observation data from a sample of YS teams (n = 36 teams, n = 101 practices) for third- through sixth-grade children (n = 392), approximately eight to 12 years old, in two rural U.S. communities. Practices were time-segmented into smaller units (episodes; n = 991). Episodes were assigned codes for purpose (e.g. warm-up), member arrangement (e.g. whole group), and setting demand (i.e. fosters participation, creates exclusion). Group accelerometer data were paired with episodes, and the Gini coefficient quantified inequality in activity counts and minutes of moderate-to-vigorous PA (MVPA). Beta generalized estimating equations examined the influence of episode structure on PA inequality. Results: Warm-up (Gini = 0.22), fitness (Gini = 0.24), and sport skill (Gini = 0.24) episodes had significantly lower inequality (p < .05) in activity counts than other purpose types. Management (Gini = 0.32) and strategy (Gini = 0.40) episodes had significantly greater inequality (p < .05) in MVPA minutes than other purpose types. Episodes fostering participation (Gini = 0.32) had significantly lower activity count inequality (p < .05) than episodes creating exclusion (Gini = 0.35). Conclusion: PA inequality among children during YS varied by practice structure. Metrics such as the Gini coefficient can illuminate inequalities in PA and may be useful for guiding efforts to improve population PA in children. Trial Registration: This study is registered at www.clinicaltrials.gov (Identifier: NCT03380143). [ABSTRACT FROM AUTHOR]

Objectives: To examine changes in multiple myeloma incidence and mortality rates during 1982–2018, and to estimate its incidence, mortality, and prevalence for 2019–2043. Study design: Population‐based statistical modelling study; analysis of and projections based on Australian Institute of Health and Welfare multiple myeloma incidence, mortality, and survival data. Setting: Australia, 1982–2018 (historical data) and projections to 2043. Main outcome measures: Changes in multiple myeloma incidence and mortality rates, 1982–2018, determined by joinpoint regression analysis (age‐standardised to 2021 Australian population); projection of rates to 2043 based on age–period–cohort models; estimated 5‐ and 30‐year prevalence of multiple myeloma (modified counting method). Results: The incidence of multiple myeloma increased during 1982–2018 (eg, annual percentage change [APC], 2006–2018, 1.9%; 95% confidence interval [CI], 1.7–2.2%), but the mortality rate declined during 1990–2018 (APC, –0.4%; 95% CI, –0.5% to –0.2%). The age‐standardised incidence rate was projected to increase by 14.9% during 2018–2043, from 8.7 in 2018 to 10.0 (95% CI, 9.4–10.7) new cases per 100 000 population in 2043; the mortality rate was projected to decline by 27.5%, from 4.0 to 2.9 (95% CI, 2.6–3.3) deaths per 100 000 population. The annual number of people newly diagnosed with multiple myeloma was estimated to increase by 89.2%, from 2120 in 2018 to 4012 in 2043; the number of deaths from multiple myeloma was projected to increase by 31.7%, from 979 to 1289. The number of people living with multiple myeloma up to 30 years after initial diagnosis was projected to increase by 163%, from 10 288 in 2018 to 27 093 in 2043, including 13 019 people (48.1%) diagnosed during the preceding five years. Conclusion: Although the decline in the mortality rate was projected to continue, the projected increases in the incidence and prevalence of multiple myeloma in Australia over the next 25 years indicate that investment in prevention and early detection research, and planning for prolonged treatment and care, are needed. [ABSTRACT FROM AUTHOR]

Background and Rationale Challenges and Ways Forward Dental care systems have the potential to influence population oral health and patterns of socioeconomic inequalities. Therefore, understanding the impact of the ways in which countries fund, provide, and organize their dental care services is key in the analysis of determinants of oral health. In this commentary we offer a synopsis of recent typologies of healthcare systems, based on a rapid review, and highlight that none of them fit dental care services given the separation of dental care from general healthcare provision in many countries. The paper also summarizes evidence on dental care systems as determinants of population oral health and argues why a new typology of dental care systems is needed.We argue that a typology must consider institutional arrangements, structures, and processes behind the provision of dental care, and that specific dimensions/variables that inform the typology should result from a process of discussion and consensus. Some methodological considerations for developing typologies are also discussed, including the challenges in the collection and analysis of data followed by an advanced cluster analysis. Despite their limitations, typologies have evolved into an essential tool for comparing the similarities and differences of healthcare systems across countries. Therefore, a dental specific typology for health systems will be useful for researchers, policymakers, and dental professionals to characterize the provision of dentalcare services in different countries. This will also enable examining their potential role as determinants of population oral health and inequalities. [ABSTRACT FROM AUTHOR]

Background: The gaps in healthy life expectancy (HLE) between Indigenous and non-Indigenous Australians are significant. Detailed and accurate information is required to develop strategies that will close these health disparities. This paper aims to quantify and compare the causes and their relative contributions to the life expectancy (LE) gaps between the Indigenous and non-Indigenous population in the Northern Territory (NT), Australia. Methods: The age-cause decomposition was used to analyse the differences in HLE and unhealthy life expectancy (ULE), where LE = HLE + ULE. The data was sourced from the burden of disease and injury study in the NT between 2014 and 2018. Results: In 2014–2018, the HLE at birth in the NT Indigenous population was estimated at 43.3 years in males and 41.4 years in females, 26.5 and 33.5 years shorter than the non-Indigenous population. This gap approximately doubled the LE gap (14.0 years in males, 16.6 years in females) at birth. In contrast to LE and HLE, ULE at birth was longer in the Indigenous than non-Indigenous population. The leading causes of the ULE gap at birth were endocrine conditions (explaining 2.9–4.4 years, 23–26%), followed by mental conditions in males and musculoskeletal conditions in females (1.92 and 1.94 years, 15% and 12% respectively), markedly different from the causes of the LE gap (cardiovascular disease, cancers and unintentional injury). Conclusions: The ULE estimates offer valuable insights into the patterns of morbidity particularly useful in terms of primary and secondary prevention. [ABSTRACT FROM AUTHOR]

Background: The link between public health spending (PHS) and population health outcomes (PHO) has been extensively studied. However, in sub-Saharan Africa (SSA), the moderating effects of governance in this relationship are little known. Furthermore, studies have focused on mortality as the main health outcome. This study contributes to this literature by investigating the moderating role of governance in the relationship by simultaneously assessing three dimensions of governance (corruption control, government effectiveness and voice accountability) using disability-adjusted life years (DALYs) as a measure of outcomes. Methods: The study applies the two-stage moderation approach using partial least squares structural equation modelling (PLS-SEM) to panel data from 43 SSA nations from 2013 to 2019. The study also uses domestic general government health expenditure (DGGHE) as an independent variable and disability-adjusted life years (DALY) as the dependent variable in this relationship. Results: The analysis reveals that DGGHE affects DALY negatively and that governance improves the effect of DGGHE on DALY, with bigger improvements among countries with worse governance. Conclusion: These findings provide evidence that good governance is crucial to the effectiveness of PHS in SSA nations. Sub-Saharan Africa (SSA) countries should improve governance to improve population health. [ABSTRACT FROM AUTHOR]

Objective: This study analyzed the mortality trends from avoidable causes in Korea from 1997 to 2021, to estimate its contribution to the overall mortality in different subgroups, including. Gender, age, and cause of disease. Methods: The all-cause and avoidable mortality were presented as a time series plot and average annual percent change. Trend of avoidable mortality was also analyzed by subgroups, disease causes and the percentage attributed to each causes. Results: The decline in avoidable mortality accounted for 82.6% of all-cause mortality reduction. Preventable mortality showed a more pronounced decline than treatable mortality, explaining 72.3% of the avoidable mortality reduction. In 1997-2001, avoidable death occurred in 72.2% (537,024 cases) of all-cause deaths, which declined to 60.0% (342,979 cases) in 2017-2021. The contribution of avoidable mortality in the decline of all-cause morality was greater in males (83.6%) than in females (79.3%). Conclusion: The decline in avoidable mortality and its contribution to the all-cause mortality reduction implies general improvement of the population health in Korea. Nevertheless, the heterogenous trend within different subgroups warrants more equitable design and implementation of health services and policies. [ABSTRACT FROM AUTHOR]

Background: This study aimed to assess whether integrating handgrip strength (HGS) into the concept of motoric cognitive risk (MCR) would enhance its predictive validity for incident dementia and all-cause mortality. Methods: A cohort of 5, 899 adults from the Health and Retirement Study underwent assessments of gait speed, subjective cognitive complaints, and HGS were involved. Over a 10-year follow-up, biennial cognitive tests and mortality data were collected. Cox proportional hazard analyses assessed the predictive power of MCR alone and MCR plus HGS for incident dementia and all-cause mortality. Results: Patients with MCR and impaired HGS (MCR-HGS) showed the highest adjusted hazard ratios (AHR) for dementia (2.33; 95% CI, 1.49-3.65) and mortality (1.52; 95% CI, 1.07-2.17). Even patients with MCR and normal HGS (MCR-non-HGS) experienced a 1.77-fold increased risk of incident dementia; however, this association was not significant when adjusted for socioeconomic status, lifestyle factors, and medical conditions. Nevertheless, all MCR groups demonstrated increased risks of all-cause mortality. The inclusion of HGS in the MCR models significantly improved predictive discrimination for both incident dementia and all-cause mortality, as indicated by improvements in the C-statistic, integrated discrimination improvement (IDI) and net reclassification indices (NRI). Conclusion: Our study underscores the incremental predictive value of adding HGS to the MCR concept for estimating risks of adverse health outcomes among older adults. A modified MCR, incorporating HGS, could serve as an effective screening tool during national health examinations for identifying individuals at risk of dementia and mortality. [ABSTRACT FROM AUTHOR]

Introduction: We examine the heterogeneity and distribution of the cohort populations in two publicly used radiological image cohorts, the Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCIA TCGA KIRC) collection and 2019 MICCAI Kidney Tumor Segmentation Challenge (KiTS19), and deviations in real-world population renal cancer data from the National Cancer Database (NCDB) Participant User Data File (PUF) and tertiary center data. PUF data are used as an anchor for prevalence rate bias assessment. Specific gene expression and, therefore, biology of RCC differ by self-reported race, especially between the African American and Caucasian populations. AI algorithms learn from datasets, but if the dataset misrepresents the population, reinforcing bias may occur. Ignoring these demographic features may lead to inaccurate downstream effects, thereby limiting the translation of these analyses to clinical practice. Consciousness of model training biases is vital to patient care decisions when using models in clinical settings. Methods: Data elements evaluated included gender, demographics, reported pathologic grading, and cancer staging. American Urological Association risk levels were used. Poisson regression was performed to estimate the population-based and sample-specific estimation for prevalence rate and corresponding 95% confidence interval. SAS 9.4 was used for data analysis. Results: Compared to PUF, KiTS19 and TCGA KIRC oversampled Caucasian by 9.5% (95% CI, −3.7 to 22.7%) and 15.1% (95% CI, 1.5 to 28.8%), undersampled African American by −6.7% (95% CI, −10% to −3.3%), and −5.5% (95% CI, −9.3% to −1.8%). Tertiary also undersampled African American by −6.6% (95% CI, −8.7% to −4.6%). The tertiary cohort largely undersampled aggressive cancers by −14.7% (95% CI, −20.9% to −8.4%). No statistically significant difference was found among PUF, TCGA, and KiTS19 in aggressive rate; however, heterogeneities in risk are notable. Conclusion: Heterogeneities between cohorts need to be considered in future AI training and cross-validation for renal masses. [ABSTRACT FROM AUTHOR]

Objective Data Sources Study Design Data Collection/Extraction Methods Principal Findings Conclusions To assess differences in hospitals' collection and use of data on patients' health‐related social needs (HRSN) by availability of programs or strategies in place to address patients' HRSN and social determinants of health (SDOH) of communities.The 2021 American Hospital Association Annual Survey and 2022 Information Technology (IT) Supplement.This cross‐sectional study described hospitals' engagement in screening and the availability of programs or strategies to address nine different HRSN. We assessed differences in screening rates and uses of data collected through screening among hospitals with and without programs or strategies in place to address HRSN or SDOH using Chi‐squared tests of independence.Analyses were restricted to IT Supplement respondents with complete data for social needs questions asked in the Annual Survey (N = 1997).In 2022, hospitals used social needs data collected through screening for various purposes including discharge planning and clinical decision‐making at their hospital as well as to refer patients to needed resources and assess community‐level needs. Hospitals with a program or strategy in place had higher rates of screening across all domains and higher rates of using of data collected through screening for uses involving exchange or coordination with external entities.Collection of social needs data may help inform the development of programs or strategies to address HRSN and SDOH, which in turn can enable providers to screen for these needs and use the data in the near term for care delivery and in the long term to address community and population needs. [ABSTRACT FROM AUTHOR]

Having adequate housing is a basic requirement for social integration. However, residential exclusion is a permanent risk in our society for many groups and with very heterogeneous social profiles. The Observatory of Social Exclusion of the University of Murcia has developed its own methodology in the five recounts-survey carried out in the municipalities of Cartagena and Murcia in recent years. This paper presents this methodology, providing the social profile of the 824 people in residential exclusion, captured in the recounts-survey carried out in February 2023 in Murcia. It also offers the results of graduating the situation of the people surveyed, adopting a multidimensional approach, into four social spaces: Inclusion, Vulnerability, Moderate Exclusion and Severe Exclusion. The principal component analysis carried out confirms that in the processes of residential exclusion the accumulated risks in the dimensions of income and socio-family relations are determinant, adding in the Spanish population the health dimension and in foreigners the education dimension, showing significant differences according to nationality, although not of gender. These results are complemented by the proposals of the professionals involved in social intervention with this group, who participated in the discussion groups and interviews carried out. [ABSTRACT FROM AUTHOR]

Inversions have been proposed to facilitate local adaptation, by linking together locally coadapted alleles at different loci. Prior work addressing this question theoretically has considered the spread of inversions in "continent-island" scenarios in which there is a unidirectional flow of maladapted migrants into the island population. In this setting, inversions capturing locally adaptive haplotypes are most likely to invade when selection is weak, because stronger local selection (i) more effectively purges maladaptive alleles and (ii) generates linkage disequilibrium between adaptive alleles, thus lessening the advantage of inversions. We show this finding only holds under limited conditions by studying the establishment of inversions in a more general two-deme model, which explicitly considers the dynamics of allele frequencies in both populations linked by bidirectional migration. In this model, the level of symmetry between demes can be varied from complete asymmetry (continent-island) to complete symmetry. For symmetric selection and migration, strong selection increases the allele frequency divergence between demes thereby increasing the frequency of maladaptive alleles in migrants, favoring inversions—the opposite of the pattern seen in the asymmetric continent-island scenario. We also account for the likelihood that a new inversion captures an adaptive haplotype in the first instance. When considering the combined process of capture and invasion in "continent island" and symmetric scenarios, relatively strong selection increases inversion establishment probability. Migration must also be low enough that the inversion is likely to capture an adaptive allele combination, but not so low as to eliminate the inversion's advantage. Overall, our analysis suggests that inversions are likely to harbor larger effect alleles that experience relatively strong selection. [ABSTRACT FROM AUTHOR]

Objective. To describe and analyze the decision to seek public health services between 2006 and 2023. Materials and methods. We used data from the 2006, 2012, 2018, and 2020-2023 National Health and Nutrition Surveys (Ensanut, by its acronym in Spanish) as well as historical data from public and private health units, adjusted by population. Results. While the increase in Seguro Popular affiliation between 2006 and 2012 was not accompanied by an increase in the decision to seek care or in the use of public services, the expansion of offices adjacent to pharmacies between 2012 and 2018 was associated with an expansion in the search (from 64 to 88% of the population with some health problem) and access to medical care. Finally, the disappearance of Seguro Popular was not associated with a reduction in the decision to seek care. Conclusions. The private sector serves approximately half of the population with a health need in Mexico. The implications on equity and the well-being of Mexican households are important. Therefore, one of the priorities of the public health system in the future is to improve its accessibility and quality to persuade the population to use public services. [ABSTRACT FROM AUTHOR]

Objective. To identify differences in the barriers to access health services between the population with and without vulnerable conditions based on the results of the Encuesta Nacional de Salud y Nutrición Continua 2023 (Ensanut Continua 2023). Material and methods. Four categories of vulnerability were defined between the population with health needs that did not seek care and users of health services who went to institutions that did not correspond to them. The reasons for not requesting care and for requesting care in an institution that did not correspond to them were grouped by type of access barrier. The differences between the barriers reported according to the vulnerability category were analyzed, as well as the expenditure to address health needs. Results. Regardless of their vulnerable situation, an important part of the population must overcome barriers to seek or obtain the care they require. The most frequent barriers were personal and organizational. The population with more vulnerable conditions reported more personal and economic barriers. Conclusions. To advance in the satisfaction of the right to health, it is necessary to strengthen the organizational capacity of health services to improve their availability, accessibility, acceptability and quality, and reduce the vulnerability conditions of the population. [ABSTRACT FROM AUTHOR]

This review aims to examine the ceiling effects of EQ-5D-3L (3L) and EQ-5D-5L (5L) in general adult populations and identify the factors influencing these effects. We searched 8 databases for observational studies published in English from inception to 24 July 2023. Ceiling effects were calculated by dividing the number of participants reporting full health at dimension or profile level by the total sample size. Subgroup analysis and meta-regression using the metafor package in R software were performed. We identified 94 studies from 70 articles, including 4 543 647 adults across 37 countries. The global pooled proportion of individuals reporting full health ("11111") was 56% (95% CI 51%-62%) for 3L and 49% (95% CI 44%-54%) for 5L. The self-care dimension showed the highest ceiling effects (3L: 97%; 5L: 94%), whereas pain/discomfort had the lowest (3L: 69%; 5L: 60%). The ceiling effects in East/South-East Asia were higher than in Europe by 25% (95% CI 18%-32%) in 3L and 9% (95% CI −2%-20%) in 5L. Adjusting for mean age and proportion of males, significant regional differences persisted in the overall profile level of 3L, in all 3L dimensions (except for self-care), and 5L dimensions (except for pain/discomfort and anxiety/depression). This review highlights significant ceiling effects in the EQ-5D, especially in Asian populations. The 5L version exhibited fewer ceiling effects than the 3L, indicating its superiority for general population surveys. Further research is crucial to understand the disparities in self-reported health outcomes between Asians and other populations. • EQ-5D 5L version shows fewer ceiling effects than the 3L version, suggesting increased sensitivity, therefore supporting its use in surveys of the general population. • This review uncovers pronounced regional disparities, with Asian studies exhibiting higher ceiling effects than European ones, underscoring the need for careful cross-cultural application in international health surveys and clinical trials. • The review supports the switch from 3L to 5L version for general population health surveys when the EQ-5D is chosen as a health-related quality of life instrument because of its lower ceiling effects and greater sensitivity. [ABSTRACT FROM AUTHOR]

When intervention scientists plan a clinical trial of an intervention, they select an outcome metric that operationalizes their definition of intervention success. The outcome metric that is selected has important implications for which interventions are eventually supported for implementation at scale and, therefore, what health benefits (including how much benefit and for whom) are experienced in a population. Particularly when an intervention is to be implemented in a population that experiences a health disparity, the outcome metric that is selected can also have implications for equity. Some outcome metrics risk exacerbating an existing health disparity, while others may decrease disparities for some but have less effect for the larger population. In this study, we use a computer to simulate implementation of a hypothetical multilevel, multicomponent intervention to highlight the tradeoffs that can occur between outcome metrics that reflect different operationalizations of intervention success. In particular, we highlight tradeoffs between overall mean population benefit and the distribution of health benefits in the population, which has direct implications for equity. We suggest that simulations like the one we present can be useful in the planning of a clinical trial for a multilevel and/or multicomponent intervention, since simulated implementation at scale can illustrate potential consequences of candidate operationalization of intervention success, such that unintended consequences for equity can be avoided. [ABSTRACT FROM AUTHOR]

In the current context of climate change, the increase in minimum temperatures recorded in recent decades has received special scientific attention due to its importance for the proper night's sleep and health of the population, among other considerations. One of the main indicators usually considered refers to the frequency of tropical nights (≥20°C), which have begun to become widespread in regions hitherto excluded from this type of event. This paper analyses tropical nights in Spain between 1970 and 2023, addressing their mean annual occurrence, their intensity, their monthly distribution and the average number of consecutive tropical nights recorded, as well as their relationship with relative humidity. The results, based on the analysis of 75 homogenized series located in 44 different provinces, allow us to differentiate seven large areas based on the minimum temperature in which there has been an increase in the frequency and intensity of tropical nights, which progressively extend the season in which they can appear. Similarly, a generalized increase in the maximum number of consecutive nights thermally above 20°C was identified, in addition to the presence of high relative humidity in coastal areas during these episodes. [ABSTRACT FROM AUTHOR]

Objective: To explore the clinical epidemiological characteristics of oral lichen planus (OLP) and risk factors for erosive/ulcerative OLP. Materials and Methods: Patients diagnosed with OLP from 11 different hospitals were included in the study. Descriptive statistical methods were used to explore the clinical epidemiological characteristics and logistic regression, sensitivity analysis, and subgroup analysis were utilized to explore the risk factors for erosive/ulcerative OLP. Results: The average age of patients was 49.2 ± 13.3 years, and 61.4% of the patients were women. The ratios of patients with reticular, hyperemic/erythematous, and erosive/ulcerative lesions were 47.9%, 27.8%, and 24.2%, respectively. Analysis of risk factors for erosive/ulcerative OLP identified the following variables: age, course of disease of 12 months or more, II°–III° dental calculus, hypertension, diabetes, and heart disease, as well as regions of habitation. Subgroup analysis showed significant differences in risk factors for erosive/ulcerative OLP in patients with and without risk behaviors. Conclusion: The clinical epidemiological characteristics of patients with OLP in the Chinese population in this study are basically consistent with existing reports in developed countries. And we identified clinical characteristics associated with erosive/ulcerative OLP through clinical epidemiological analysis. [ABSTRACT FROM AUTHOR]

In West African cities, the impacts of the air quality on the health of the population is expected to increase significantly in the near future. For the first time to our knowledge, we conducted a high-resolution modeling study over Abidjan (Côte d'Ivoire) using the WRF-Chem model and the simplified GOCART model to simulate carbonaceous aerosols BC and OC, sulfate, dust, sea salt, PM2.5, and PM10. The simulations were carried out during January and February 2019, a period over which there are databases of observations available. The DACCIWA inventory provided anthropogenic emissions at the regional scale, whereas a new emission inventory has been developed for the city of Abidjan. In 2019, the emissions were 4986.8 Gg for BC, 14,731.4 Gg for OC, and 7751.6 Gg for SO2. Domestic fires were the primary OC source (7719.5 Gg), while road traffic was the largest BC emitter (2198.8 Gg). Our modeling results generally overestimate urban particle concentrations, despite having a better agreement for those based on the inventory of the city of Abidjan. Modeled concentrations of BC are higher in administrative centers due to road traffic, while OC concentrations are significant in densely populated neighborhoods. [ABSTRACT FROM AUTHOR]

We examine the extent to which acute and chronic health conditions motivate individuals to seek air quality information. We apply the theoretical elements of the Health Belief Model (HBM) to improve risk communication about ambient air pollution. We discuss the practical applications of HBM, in tandem with the principles of health communication, within an environmental health context. We test the predictive power of selected components related to the HBM (perceived susceptibility, perceived severity, and cues to action) for intentions to seek information about ambient air quality. We surveyed 325 individuals throughout Nevada where poor air quality poses a risk for vulnerable populations. Ordinal logistic regression analyses showed that experiencing mucous membrane symptoms (eye itching, nose irritation, and dry throat/cough), perceived severity to future health threats, and having an at-risk member in the household positively and significantly predicted intentions to seek air quality information. Experiencing neuropsychological symptoms (fatigue, feeling heavy-headed, and nausea/dizziness), and having a cardiovascular or a respiratory condition did not have significant effects on reported intentions. We discuss how the results of this study can be integrated into health communication practices to increase public engagement with air quality information as a personal intervention measure. [ABSTRACT FROM AUTHOR]

Big data refers to extremely large data generated at high volume, velocity, variety, and veracity. The nurse scientist is uniquely positioned to leverage big data to suggest novel hypotheses on patient care and the healthcare system. The purpose of this paper is to provide an introductory guide to understanding the use and capability of big data for nurse scientists. Herein, we discuss the practical, ethical, social, and educational implications of using big data in nursing research. Some practical challenges with the use of big data include data accessibility, data quality, missing data, variable data standards, fragmentation of health data, and software considerations. Opposing ethical positions arise with the use of big data, and arguments for and against the use of big data are underpinned by concerns about confidentiality, anonymity, and autonomy. The use of big data has health equity dimensions and addressing equity in data is an ethical imperative. There is a need to incorporate competencies needed to leverage big data for nursing research into advanced nursing educational curricula. Nursing science has a great opportunity to evolve and embrace the potential of big data. Nurse scientists should not be spectators but collaborators and drivers of policy change to better leverage and harness the potential of big data. [ABSTRACT FROM AUTHOR]

The field of Calculated Medicine has grown substantially over the last 7 decades. Comprised of objective, evidence-based medical decision tools, Calculated Medicine has broad application in medical practice, medical research, and health care management. This article reviews the history and varied methodologies of Calculated Medicine, starting with the 1953 Apgar score and concluding with a look into modern computational tools of the field: machine learning, natural language processing, artificial intelligence, and in silico research techniques. We'll also review and quantify the rapidly accelerating growth of Calculated Medicine in the medical literature. Our database of journal articles referring to the field has accumulated over 1.8 million citations, with more than 460 new citations (on average) posted every day. Using natural language processing, we examine and analyze this burgeoning database. Lastly, we examine an important new direction of Calculated Medicine: self-reflection on its potential effect on racial and ethnic disparities in health care. Our field is making great strides promoting health care egality, and some of the most prominent contributions will be reviewed. [ABSTRACT FROM AUTHOR]

Primary care in the United States is undergoing bursts of evolution in response to health system stresses, changing demographics, and expansion of risk and value-based reimbursement structures. The impact of primary care remains substantive and associated with improved population health. However, the spectrum of services, the nature of the physicians involved and new ways of including the patient in her, or his own care suggests that a new definition of primary care be considered, and patient expectations be heeded and understood. Evolutionary bursts yield new traits and in primary care, they are spawning new care models with significant implications for general internal medicine, internal medicine/pediatrics trained individuals and medicine subspecialties given the focus of these models on Medicare Advantage. Ultimately, changes in reimbursement and creative incentives will be two factors among many that will solidify the next stage of primary care in the United States. [ABSTRACT FROM AUTHOR]

The HIV epidemics in Cambodia is concentrated in key populations (KPs). Pre-exposure prophylaxis (PrEP) has been officially approved in the country since 2019. However, its use may still be controversial after a PrEP clinical trial was interrupted in Cambodia after being deemed unethical in 2004. In this context, it was necessary to evaluate PrEP acceptability and administration preferences of KPs in Cambodia, with a view to increasing roll-out and uptake. We conducted a qualitative study in 2022 comprising six focus groups and four semi-structured individual interviews with transgender women, men who have sex with men, male entertainment workers, venue-based female entertainment workers (FEW), street-based FEW, and PrEP users who participated in a PrEP pilot study that started in 2019. Overall, KPs positively perceived PrEP, with some reservations. They preferred daily, community-based PrEP to event-driven, hospital-based PrEP, and highlighted that injectable PrEP would be a potential option if it became available in Cambodia. We recommend (i) proposing different PrEP regimens and PrEP delivery-models to broaden PrEP acceptability and adherence in Cambodia (ii) increasing the number of community-based organisations and improving the services they offer, (iii) rolling out injectable PrEP when it becomes officially available, and (iv) improving PrEP side effects information. [ABSTRACT FROM AUTHOR]

Objective: This systematic review aimed to evaluate the effects of Tai Chi on the health-related quality of life (HRQoL) of people with neurodegenerative diseases. Data Source: This review followed the guidelines of the updated PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020. A systematic search in five electronic databases (Medline via PubMed, Web of Science, Scopus, PEDro, and OTseeker) was performed. Study Inclusion and Exclusion Criteria: Randomized control trials (RCTs) examining Tai Chi interventions to improve HRQoL in patients with neurodegenerative diseases published through March 2023 were included. Data Extraction: Data were extracted from each study by two independent researchers into a data extraction form based on the Cochrane recommendations. Methodological quality and risk of bias were assessed. Data Synthesis: A meta-analysis was performed using Review Manager 5.3 software. Results: Of the 439 records that were screened, eight RCTs met the eligibility criteria. They assessed cognitive decline (n = 2) or Parkinson's disease (n = 6). RCT comparison groups included active interventions or usual care. The duration of Tai Chi therapy ranged from 8 to 24 weeks. A sensitivity analysis using a fixed effect model indicated that Tai Chi therapy significantly increased HRQoL [ P < 001, SMD (95% CI) =.41 [.21,.60], I2 = 4%]. Conclusion: Tai Chi can effectively improve the HRQoL of people with neurodegenerative diseases, but the heterogeneity across intervention was relatively high. Further studies are needed as research into the benefits of Tai Chi in neurodegenerative disease rehabilitation is still limited. [ABSTRACT FROM AUTHOR]

Background During the first epidemic wave, COVID-19 surveillance focused on quantifying the magnitude and the escalation of a growing global health crisis. The scientific community first assessed risk through basic indicators, such as the number of cases or rates of new cases and deaths, and later began using other direct impact indicators to conduct more detailed analyses. We aimed at synthesizing the scientific community's contribution to assessing the direct impact of the COVID-19 pandemic on population health through indicators reported in research papers. Methods We conducted a rapid scoping review to identify and describe health indicators included in articles published between January 2020 and June 2021, using one strategy to search PubMed, EMBASE and WHO COVID-19 databases. Sixteen experts from European public health institutions screened papers and retrieved indicator characteristics. We also asked in an online survey how the health indicators were added to and used in policy documents in Europe. Results After reviewing 3891 records, we selected a final sample of 67 articles and 233 indicators. We identified 52 (22.3%) morbidity indicators from 33 articles, 105 severity indicators (45.1%, 27 articles) and 68 mortality indicators (29.2%, 51). Respondents from 22 countries completed 31 questionnaires, and the majority reported morbidity indicators (29, 93.5%), followed by mortality indicators (26, 83.9%). Conclusions The indicators collated here might be useful to assess the impact of future pandemics. Therefore, their measurement should be standardized to allow for comparisons between settings, countries and different populations. [ABSTRACT FROM AUTHOR]

Background The application of foresight to the field of public health is limited. There is growing need to anticipate uncertain future trends and to plan for them. Foresight provides tools to experts and policymakers to discuss and plan for possible futures. Hence, the aim of this study is to illustrate how the foresight six-step approach can be applied in public health, and to provide recommendations on dealing with challenges, drawn from the Population Health Information Research Infrastructure (PHIRI) foresight exercise. Methods In this tutorial, we describe the six-step approach as part of foresight methodology and give examples of possible challenges. Step 1 comprises the formulation of study objectives. Step 2 focuses on developing a conceptual model and applying the Demographic Economic Sociocultural Technological Ecological and Political-Institutional (DESTEP) framework to identify and prioritize driving forces for the topic of interest. In Step 3, a time horizon and spatial level are defined. Step 4 discusses scenario logics. Steps 5 and 6 discuss different types of scenarios and associated tools for analyses. Possible challenges encountered whilst applying the foresight methodology at each of the steps, were drawn from experiences during PHIRI foresight exercise. Results Challenges associated with applying the foresight six-step approach included: formulating concise objectives, developing a conceptual model, understanding driving forces and uncertainty and difficulties in building scenarios. Conclusions Understanding concepts used in the six-step approach and how they relate to each other remained difficult. Support from foresight experts, conducting more foresight exercises, tutorials and guidelines can enhance understanding and support building capacity. [ABSTRACT FROM AUTHOR]

Background The indirect impact of the coronavirus disease 2019 pandemic on healthcare services was studied by assessing changes in the trend of the time to first treatment for women 18 or older who were diagnosed and treated for breast cancer between 2017 and 2021. Methods An observational retrospective longitudinal study based on aggregated data from four European Union (EU) countries/regions investigating the time it took to receive breast cancer treatment. We compiled outputs from a federated analysis to detect structural breakpoints, confirming the empirical breakpoints by differences between the trends observed and forecasted after March 2020. Finally, we built several segmented regressions to explore the association of contextual factors with the observed changes in treatment delays. Results We observed empirical structural breakpoints on the monthly median time to surgery trend in Aragon (ranging from 9.20 to 17.38 days), Marche (from 37.17 to 42.04 days) and Wales (from 28.67 to 35.08 days). On the contrary, no empirical structural breakpoints were observed in Belgium (ranging from 21.25 to 23.95 days) after the pandemic's beginning. Furthermore, we confirmed statistically significant differences between the observed trend and the forecasts for Aragon and Wales. Finally, we found the interaction between the region and the pandemic's start (before/after March 2020) significantly associated with the trend of delayed breast cancer treatment at the population level. Conclusions Although they were not clinically relevant, only Aragon and Wales showed significant differences with expected delays after March 2020. However, experiences differed between countries/regions, pointing to structural factors other than the pandemic. [ABSTRACT FROM AUTHOR]

Background Before the COVID-19 pandemic, a need for a uniform approach to health information (HI) knowledge in population health analysis across Europe was evident. The Population Health Information Research Infrastructure (PHIRI) emerged as a proactive initiative to strengthen European HI capacities. This article describes the achievements of PHIRI, highlighting its capacity-building activities and their contribution towards a sustainable strategy for the implementation of the European Health Data Space (EHDS). Methods PHIRI collaboration established a work package for skill-building activities in population health in partnership with other organizations. Activities included webinars, workshops, sessions, training schools and courses for researchers and public administration workers from Europe and beyond. The primary goal of the activities was to examine the impact of COVID-19 on European health systems at both local and national levels, including healthcare facilities and policymaking entities. Results Twelve activities were organized between October 2020 and the summer of 2023. In March 2023, the Spring School on Health Information was organized to share the knowledge achieved from PHIRI and other European Union-related projects. This event also validated the European Health Information Training Programme. Conclusions PHIRI's findings emphasized the importance of equipping the workforce with core HI skills to improve health systems' preparedness and resilience. Through this research, it is possible to propose a strategy for building capacity that emphasizes the importance of providing training in human-machine dynamics. This approach will contribute to the sustainable implementation of the EHDS. [ABSTRACT FROM AUTHOR]

Background The extensive and continuous reuse of sensitive health data could enhance the role of population health research on public decisions. This paper describes the design principles and the different building blocks that have supported the implementation and deployment of Population Health Information Research Infrastructure (PHIRI), the strengths and challenges of the approach and some future developments. Methods The design and implementation of PHIRI have been developed upon: (i) the data visiting principle—data does not move but code moves; (ii) the orchestration of the research question throughout a workflow that ensured legal, organizational, semantic and technological interoperability and (iii) a 'master–worker' federated computational architecture that supported the development of four uses cases. Results Nine participants nodes and 28 Euro-Peristat members completed the deployment of the infrastructure according to the expected outputs. As a consequence, each use case produced and published their own common data model, the analytical pipeline and the corresponding research outputs. All the digital objects were developed and published according to Open Science and FAIR principles. Conclusion PHIRI has successfully supported the development of four use cases in a federated manner, overcoming limitations for the reuse of sensitive health data and providing a methodology to achieve interoperability in multiple research nodes. [ABSTRACT FROM AUTHOR]

Background Timely and high-quality population-level health information is needed to support evidence-informed decision-making, for planning and evaluation of prevention, care and cure activities as well as for research to generate new knowledge. FAIR (Findable, Accessible, Interoperable and Reusable) principles are one of the key elements supporting health research and making it more cost-effective through the reuse of already existing data. Currently, health data are in many countries dispersed and difficult to find and access. Methods Two EU Public Health Programmes co-funded Joint Actions, Information for Action (InfAct) and Population Health Information Research Infrastructure (PHIRI) have established a European Health Information Portal, a web-based service, to facilitate better findability, access, interoperability and reuse of existing health information. Results The European Health Information Portal (www.healthinformationportal.eu) has been established including sections on National Nodes, data sources, publications, health information projects within countries and across Europe, research networks and research infrastructures, ethical and legal issues for health information exchange and use, capacity-building activities in all areas of population health and a dedicated COVID-19 section. Conclusions The European Health Information Portal, being a central place for a wide range of population health information from EU Member States, is an information source for researchers, policy-makers and other relevant stakeholders. It is important to ensure the sustainability of the portal, especially in light of the European Health Data Space (EHDS) Regulation proposal and its requirements regarding the secondary use of health data. [ABSTRACT FROM AUTHOR]

Wild turkeys (Meleagris gallopavo) are an important game species throughout the geographic range. Populations throughout multiple regions of the US have been declining, including in Kentucky, US, raising concerns among managers and resource users. To better understand the overall population health, we performed postmortem examinations and targeted pathogen, mineral, and toxicant testing on 36 adult male, apparently healthy, wild turkeys that were hunter harvested in western Kentucky during April 2018. We found that birds were in fair to good nutritional condition with no significant gross or microscopic lesions. Ticks (Amblyomma spp.) and lice (three species) were present on 94 and 31% of birds, respectively. We commonly detected intestinal nematodes and cestodes and found coccidian oocysts in 39% and capillarid eggs in 6% of birds. The prevalences of lymphoproliferative disease virus and reticuloendotheliosis virus were 39 and 11%, respectively. Spleen samples tested with PCR were positive for Borrelia burgdorferi, Haemoproteus sp., and Leucocytozoon sp. in 11, 83, and 3%, respectively. Based on a subjective histologic assessment of testis tissues, most birds had widespread and abundant sperm present. Mineral analysis and broad toxicant screening on liver samples from 32 turkeys were unremarkable. Further work is needed to assess potential population risk factors and to determine individual- and population-level impacts of pathogens on adults and poults. [ABSTRACT FROM AUTHOR]

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The Opioid and Naloxone Education (ONE) Program focuses on community pharmacy-based patient screening and interventions to improve population health with regard to opioid use. The purpose of this paper is to reevaluate the ONE Program performance using the RE-AIM model, in comparison to the review performed in 2019. The program performance of the ONE Program was evaluated from January 1, 2021 to December 31, 2022 was evaluated using the five domains of the RE-AIM model. Reach was defined as the proportion of patients receiving opioid prescriptions who completed the screening. Efficacy was defined as the proportion of individuals identified as at risk who received a pharmacist intervention. Adoption was defined as the proportion of community pharmacies who enrolled in the ONE Program. Implementation was defined as the proportion of pharmacies that enrolled that provided at least five patient screenings. Maintenance was defined as the proportion of pharmacies that completed at least one screening three months. These results were compared against evaluation of the program from October 12, 2018 to June 1, 2019. Approximately 7.28 % of patients receiving opioid prescriptions were screened for risk of opioid misuse and accidental overdose (Reach). Of the patients screened, 97.4 % of patients at risk for opioid misuse or accidental overdose received a pharmacist-led intervention (Efficacy). Additionally, 49.6 % of the pharmacist that enrolled in the ONE Program completed at least five screenings (79 %) and of those, 86.4 % maintained the program three months later. In years four and five of implementation, the ONE Program demonstrated improvement in four of the five domains of the RE-AIM model compared to years one and two. However, Reach declined over time. This reevaluation has demonstrated the importance of longitudinal program assessment, and the possibility of improved program performance over time. [ABSTRACT FROM AUTHOR]

Background: Nonprofit hospitals are required to conduct community health needs assessments (CHNA) every 3 years and develop corresponding implementation plans. Implemented strategies must address the identified community needs and be evaluated for impact. Purpose: Using the Community Health Implementation Evaluation Framework (CHIEF), we assessed whether and how nonprofit hospitals are evaluating the impact of their CHNA-informed community benefit initiatives. Methodology: We conducted a content analysis of 83 hospital CHNAsthat reported evaluation outcomes drawn from a previously identified 20% random sample (n = 613) of nonprofit hospitals in the United States. Through qualitative review guided by the CHIEF, we identified and categorized the most common evaluation outcomes reported. Results: A total of 485 strategies were identified from the 83 hospitals' CHNAs. Evaluated strategies most frequently targeted behavioral health (n = 124, 26%), access (n = 83, 17%), and obesity/nutrition/inactivity (n = 68, 14%). The most common type of evaluation outcomes reported by CHIEF category included system utilization (n = 342, 71%), system implementation (n = 170, 35%), project management (n = 164, 34%), and social outcomes (n = 163, 34%). Practice Implications: CHNA evaluation strategies focus on utilization (the number of individuals served), with few focusing on social or health outcomes. This represents a missed opportunity to (a) assess the social and health impacts across individual strategies and (b) provide insight that can be used to inform the allocation of limited resources to maximize the impact of community benefit strategies. [ABSTRACT FROM AUTHOR]

Background: Emerging adulthood (18–25 years old) is a distinct developmental period in which multiple life transitions pose barriers to engaging in healthy lifestyle behaviors that reduce cardiovascular disease risk. There is limited theory-based research on African American emerging adults. Objective: This article introduces a synthesized empirically testable situation-specific theory for cardiovascular disease prevention in African American emerging adults. Methodology: Im and Meleis' integrative approach was used to develop the situation-specific theory. Results: Unlocking Population-Specific Treatments to Render Equitable Approach and Management in Cardiovascular Disease is a situation-specific theory developed based on theoretical and empirical evidence and theorists' research and clinical practice experiences. Discussion: African American emerging adults have multifaceted factors that influence health behaviors and healthcare needs. Unlocking Population-Specific Treatments to Render Equitable Approaches and Management in Cardiovascular Disease has the potential to inform theory-guided clinical practice and nursing research. Recommendations for integration in nursing practice, research, and policy advocacy are presented. Further critique and testing of the theory are required. [ABSTRACT FROM AUTHOR]

This study investigates the impact of environmental factors on human health, including harmful substances, extreme temperatures, and air quality. The health status of the population in regions where many industries operate also depends on meteorological factors. The purpose of the study is to characterize and determine the influence of environmental factors (humidity, temperature, wind) and industries, including metal mining and processing regions, on the health of people in the Aktobe region, Republic of Kazakhstan. The study used general theoretical methods to analyze and systematize the results of the meteorological service of the Aktobe region and the experiments conducted by the branch of the National Centre of Expertise of the Committee of Sanitary and Epidemiological Control of the Ministry of Healthcare of the Republic of Kazakhstan for the Aktobe region in 2020 and 2021. Statistical data on the amount of chromium, lead, and nickel in the blood, and the morbidity rate of the population were analyzed. The study's findings indicate that residents in the Aktobe region experience hypothermia during winter at temperatures between −12 °C and −15 °C and humidity of 81%, and in summer overheating occurs at temperatures between +19.6 °C and +22.5 °C with humidity of 77%. These extreme temperature conditions disrupt the body's heat exchange with the environment, affecting the respiratory and circulatory systems. Moreover, the predominantly windless conditions in the region affect the atmosphere's self‐cleaning ability, resulting in high levels of air pollution throughout the year. The findings can inform strategies to improve public health and prevent diseases in industrial regions. Integr Environ Assess Manag 2024;20:1156–1165. © 2023 SETAC Key Points: The study emphasizes the significant relationship between environmental conditions and human health, advocating thorough research into how different environmental factors affect people's health.A critical insight from the research is the effect of natural conditions on health, where extreme cold and heat paired with high humidity levels significantly impair the body's thermoregulation, leading to hypothermia or overheating.Environmental improvements and human health protections are integral to ensuring a sustainable and prosperous future and should be a focal point of national policy and public health objectives. [ABSTRACT FROM AUTHOR]

Credentialing bodies increasingly focus on advocacy as a competency to be developed by physicians during residency. The skills of advocacy are especially important with the increased attention on social determinants of health, as restrictive state and federal health policy decisions gain widespread attention in the national news media. This movement is reflected in the ACGME's recently revised statement on the training mission of family medicine residencies with the most recent update of milestones, which identifies advocacy as a core competency. Additionally, the major family medicine organizations and governing bodies all similarly identify advocacy as an important professional responsibility for family physicians. Advocacy is a broad term that can be applied across a range of settings and scenarios. For the purposes of this paper we focus primarily on legislative advocacy as a specific area for growing curricular emphasis in family medicine residency programs. [ABSTRACT FROM AUTHOR]