Uncovering Multidimensional Poverty Experiences in Shaping Children's Socioemotional Trajectories during the First 6 Years of Schooling.

The extant literature has attested to the importance of poverty on child well-being generally using a unidimensional approach. Researchers have yet to establish solid evidence on how multiple dimensions of poverty (e.g., depth, volatility, and spells of exposure) might be associated with children's socioemotional well-being during their early school years. Building upon Bronfenbrenner's bioecological systems theory, this study used latent class analysis to identify poverty patterns by incorporating multiple dimensions of poverty and investigated the relationship between multidimensional poverty patterns and children's socioemotional trajectories from kindergarten through fifth grade. Using the Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K), a longitudinal dataset featuring a nationally representative cohort of children in the United States (N ≈ 20,090), the analysis identified seven poverty groups. Each group exhibited a unique poverty or economic pattern that incorporates the three poverty dimensions. Growth-curve results indicate that multidimensional poverty patterns were significantly associated with externalizing and internalizing behaviors both at kindergarten and over time by fifth grade. Children with the acutest form of economic deprivation-extreme poverty, volatile income, and multiple spells of poverty exposure-were reported to have the worst outcomes. The significant variations in children's socioemotional trajectories due to different poverty patterns highlight the importance of poverty reduction and prevention strategies corresponding to those patterns for optimal effect. This study suggests a focus not just on helping families exit poverty temporarily, but on improving their economic security as a way to nurture children's socioemotional well-being.

La bibliografía existente ha avalado la importancia de la pobreza en el bienestar de los niños, generalmente usando un enfoque unidimensional. Los investigadores aun tienen que demostrar con pruebas sólidas cómo las múltiples dimensiones de la pobreza (p. ej.: la profundidad, la volatilidad y los periodos de exposición) podrían estar asociadas con el bienestar socioemocional de los niños durante sus primeros años de escolarización. Basándose en la teoría bioecológica de sistemas de Bronfenbrenner, este estudio utilizó el análisis de clases latentes para identificar patrones de pobreza incorporando varias dimensiones de pobreza e investigó la relación entre los patrones multidimensionales de pobreza y las trayectorias socioemocionales de los niños desde el jardín de infantes hasta quinto grado. Utilizando el Estudio longitudinal de la primera infancia, promoción de jardín de infantes de 1998-99 (ECLS-K), un conjunto de datos longitudinales que presenta una cohorte de niños de los Estados Unidos representativa a nivel nacional (N ≈ 20,090), el análisis identificó siete grupos de pobreza. Cada grupo expuso un patrón económico o de pobreza único que incorporó las tres dimensiones de pobreza. Los resultados de la curva de crecimiento indican que los patrones multidimensionales de pobreza estuvieron asociados significativamente con conductas exteriorizadas e interiorizadas tanto en el jardín de infantes como en transcurso del tiempo hasta quinto grado. Se informó que los niños con la forma más aguda de privación económica-pobreza extrema, ingresos volátiles y varios periodos de exposición a la pobreza-tuvieron los peores resultados. Las variaciones significativas en las trayectorias socioemocionales de los niños debido a diferentes patrones de pobreza destacan la importancia de la reducción de la pobreza y de las estrategias de prevención correspondientes a esos patrones para lograr un efecto óptimo. Este estudio sugiere enfocarse no solo en ayudar a las familias a salir de la pobreza temporariamente, sino en mejorar su seguridad económica como forma de promover el bienestar socioemocional de los niños.

Implementation of Vulnerable Elders Survey-13 Frailty Tool to Identify At-Risk Geriatric Surgical Patients.

PURPOSE: The primary purpose of this project was to preoperatively identify frail and vulnerable geriatric patients aged 65 or older using the Vulnerable Elders Survey (VES-13) tool, and to use those scores to assist with perioperative decision-making. DESIGN: This feasibility study was implemented as a quality improvement initiative with a postimplementation group only. METHODS: The VES-13 was introduced to the perioperative nursing staff and anesthesia providers and then added to the traditional preoperative assessment. The VES-13 scores were correlated to hospital length of stay, postanesthesia care unit stay, altered mental status, and morbidity. FINDINGS: Increased identification of older adult surgical patients at risk for increased length of stay, altered mental status, and morbidity in the preoperative setting was not evident, although the VES-13 was effective in identifying functional deficits in the older adult surgical patient. CONCLUSIONS: A detailed and comprehensive preoperative assessment remains the most efficient way to identify frail geriatric surgical patients.

Identifying vulnerable populations to death and injuries from residential fires.

OBJECTIVE: This study proposes and evaluates the theory that people who are susceptible to injury in residential fires are not susceptible to death in residential fires and vice versa. It is proposed that the population vulnerable to death in residential fires can be proxied by 'frailty', which is measured as age-gender adjusted fatality rates due to natural causes. METHODS: This study uses an ecological approach and controls for exposure to estimate the vulnerability of different population groups to death and injury in residential fires. It allows fatalities and injuries to be estimated by different models. RESULTS: Frailty explains fire-related death in adults while not explaining injuries, which is consistent with the idea that deaths and injuries affect disjoint populations. CONCLUSIONS: Deaths and injuries in fire are drawn from different populations. People who are susceptible to dying in fires are unlikely to be injured in fires, and the people who are susceptible to injury are unlikely to die in fires.

Analysis of population-level determinants of legionellosis: spatial and geovisual methods for enhancing classification of high-risk areas.

BACKGROUND: Although the incidence of legionellosis throughout North America and Europe continues to increase, public health investigations have not been able to identify a common exposure in most cases. Over 80% of cases are sporadic with no known source. To better understand the role of the macro-environment in legionellosis risk, a retrospective ecological study assessed associations between population-level measures of demographic, socioeconomic, and environmental factors and high-risk areas. METHODS: Geographic variability and clustering of legionellosis was explored in our study setting using the following methods: unadjusted and standardized incidence rate and SaTScan™ cluster detection methods using default scanning window of 1 and 50% as well as a reliability score methodology. Methods for classification of "high-risk" census tracts (areas roughly equivalent to a neighborhood with average population of 4000) for each of the spatial methods are presented. Univariate and multivariate logistic regression analyses were used to estimate associations with sociodemographic factors: population ≥ 65 years of age, non-white race, Hispanic ethnicity, poverty, less than or some high school education; housing factors: housing vacant, renter-occupied, and built pre-1950 and pre-1970; and whether drinking water is groundwater or surface water source. RESULTS: Census tracts with high percentages of poverty, Hispanic population, and non-white population were more likely to be classified as high-risk for legionellosis versus a low-risk census tract. Vacant housing, renter-occupied housing, and homes built pre-1970 were also important positively associated risk factors. Drinking water source was not found to be associated with legionellosis incidence. DISCUSSION: Census tract level demographic, socioeconomic, and environmental characteristics are important risk factors of legionellosis and add to our understanding of the macro-environment for legionellosis occurrence. Our findings can be used by public health professionals to target disease prevention communication to vulnerable populations. Future studies are needed to explore the exact mechanisms by which these risk factors may influence legionellosis clustering.

The indispensability of labelled groups to vulnerability in bioethics.

Regarding the determination of vulnerability, the bioethics community has univocally jettisoned "labelled groups", groups whose membership confers a context-invariant "vulnerable" status to their members. While the usual reasons against the sole use of labelled groups to determine the vulnerability of individuals are sound, labelled groups as exemplars of vulnerability can play indispensable roles in bioethical reasoning. In this article, I argue against the wholesale jettisoning of labelled groups by showing how they can be useful.

[Equity-oriented monitoring in the context of universal health coverage]. / El monitoreo orientado a la equidad en el contexto de la cobertura universal de salud.

Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC.

Use of country of birth as an indicator of refugee background in health datasets.

BACKGROUND: Routine public health databases contain a wealth of data useful for research among vulnerable or isolated groups, who may be under-represented in traditional medical research. Identifying specific vulnerable populations, such as resettled refugees, can be particularly challenging; often country of birth is the sole indicator of whether an individual has a refugee background. The objective of this article was to review strengths and weaknesses of different methodological approaches to identifying resettled refugees and comparison groups from routine health datasets and to propose the application of additional methodological rigour in future research. DISCUSSION: Methodological approaches to selecting refugee and comparison groups from existing routine health datasets vary widely and are often explained in insufficient detail. Linked data systems or datasets from specialized refugee health services can accurately select resettled refugee and asylum seeker groups but have limited availability and can be selective. In contrast, country of birth is commonly collected in routine health datasets but a robust method for selecting humanitarian source countries based solely on this information is required. The authors recommend use of national immigration data to objectively identify countries of birth with high proportions of humanitarian entrants, matched by time period to the study dataset. When available, additional migration indicators may help to better understand migration as a health determinant. Methodologically, if multiple countries of birth are combined, the proportion of the sample represented by each country of birth should be included, with sub-analysis of individual countries of birth potentially providing further insights, if population size allows. United Nations-defined world regions provide an objective framework for combining countries of birth when necessary. A comparison group of economic migrants from the same world region may be appropriate if the resettlement country is particularly diverse ethnically or the refugee group differs in many ways to those born in the resettlement country. SUMMARY: Routine health datasets are valuable resources for public health research; however rigorous methods for using country of birth to identify resettled refugees would optimize usefulness of these resources.

Neglect and abuse of older people in Nepal: a commentary on "A baseline study on reported cases of elder abuse in Nepali press".

Little is known about elder abuse in Nepal. To gain further insights, the National Human Rights Commission in association with the Geriatric Center in Nepal published a report that analyzes all cases of older people's abuse published in two daily newspapers in Nepal over a 2-year period. This commentary discusses the main findings of the report, as well as future directions.

Older people's perceptions of the term elder abuse and characteristics associated with a lower level of awareness.

A national representative survey of 2,021 community-dwelling older people was carried out in 2010 using face-to-face interviews. The study examined how the term "elder abuse" was understood by this population and identified factors associated with lower levels of awareness. Over 80% of this population recognized the term elder abuse, and 56% demonstrated specific insight related to typologies, locations, and perpetrators of abuse. Less specific responses were given by 22% of participants, and a further 21% could not give a reply. Less specific or "don't know" responses were independently associated with age 80 years or older, a lower level of education, impaired physical health, and living in economically deprived communities. Despite ongoing public information campaigns, there remained a significant portion of older people who may be unaware of or have limited insight into elder abuse. This study suggests a need for more targeted education campaigns aimed at specific higher-risk groups.

Examining dimensions of vulnerability among children in Uganda.

Insufficient data on the nature and extent of children's vulnerability in Uganda has challenged government and donors in priority setting, resource allocation and developing effective approaches to improve well-being. We conducted a population-based survey among a nationally representative sample of 2551 households, covering a total of 7946 children. We engaged national stakeholders in a priority-setting exercise to develop a scoring system to assess dimensions of children's vulnerability. The exercise identified individual and household characteristics to assess vulnerability--many of which had not been measured previously--to which numerical weights representing vulnerability level were assigned. Highly weighted characteristics included maternal death, disability, child labour and pregnancy before age 17. Psychosocial elements included living apart from siblings, having nobody to talk to and never visiting a living parent. According to this approach, an estimated 51.1% of children in Uganda (weighted for national population distribution) are considered critically or moderately vulnerable. It is to these children, equivalent to a national total of 8.7 million, that support services should be prioritised. However, survey data suggest that the most critically vulnerable children are under-represented in several types of support services. This pioneering, participatory methodology provides a rudimentary, but valuable, first step towards quantifying the vulnerability of children in Uganda and assessing their resource needs. It has been used by the Government of Uganda to determine subcategories of vulnerability for resource allocation. A major advantage is that it uses local contextual knowledge of child vulnerability rather than generic criteria applied in international surveys. Further analytical work is required to validate the methodology, link it to child well-being outcomes and devise a practical tool for service providers to refine programme targeting. The approach may be useful to national, regional or local service providers seeking an overview of their client base to monitor and improve programme-targeting efforts.

Brief Report: Classifying Rates of Students with Autism and Intellectual Disability in North Carolina: Roles of Race and Economic Disadvantage.

We examined special education classifications among students aged 3-21 in North Carolina public schools, highlighting autism spectrum disorder (ASD) and intellectual disability (ID). Results revealed variability by county in ASD and ID prevalence, and in county-level ratios of ID vs. ASD classifications. Sociodemographic characteristics predicted proportion of ASD or ID within a county; correlations showed an association between race and ID, but not ASD. County's median household income predicted proportion of students classified as ASD and ID (opposite directions), controlling for number of students and gender. Variability was unlikely related to biological incidence, and more likely related to district/school practices, or differences in resources. Disparities warrant further examination to ensure that North Carolina's youth with disabilities access necessary, appropriate resources.

Reported health and social consequences of the COVID-19 pandemic on vulnerable populations and implemented solutions in six West African countries: A media content analysis.

Coronavirus has spread worldwide with over 140 million cases and resulting in more than 3 million deaths between November 2019 to April 2021, threatening the socio-economic and psychosocial stability of many families and communities. There has been limited research to understand the consequences of COVID-19 on vulnerable populations in West Africa, and whether such consequences differ by countries' previous experience with Ebola. Using a media analysis of leading online news sources, this study identified the populations particularly vulnerable to the threats of the COVID-19 pandemic, described the consequences of COVID-19 experienced by these populations, and reported on the solutions to address them. All articles from the selected news sources published between January 1 and June 30, 2020 on 6 West African countries were imported into Dedoose. A total of 4,388 news articles were coded for excerpts on vulnerable populations, only 285 excerpts of which mentioned the existing effects of COVID-19 on vulnerable populations or implemented solutions. News articles from countries with past experience with Ebola were more likely to mention the pandemic's effects on vulnerable populations, especially on incarcerated people. Vulnerable groups were reported to have experienced a range of effects including economic disruptions, heightened domestic and sexual abuse, arbitrary arrests, health care inaccessibility, and educational challenges throughout the pandemic. With implications for the achievement of the Sustainable Development Goals (SDG) for 2030 in West Africa, these countries should consider and focus more strategic efforts on vulnerable populations to overcome their fight against the COVID-19 pandemic and to achieve the SDG for 2030.

How researchers define vulnerable populations in HIV/AIDS clinical trials.

In this study, we interviewed researchers, asking them to define vulnerable populations in HIV/AIDS clinical trials, and provide feedback on the federal regulations for three vulnerable populations. Interview data informed a conceptual framework, and were content analyzed to identify acceptability or disagreement with the regulations. Beginning with several characteristics of vulnerable enrollees identified by researchers, the conceptual framework illustrates possible scenarios of how enrollees could be considered vulnerable in clinical research. Content analysis identified barriers affecting HIV/AIDS researchers' ability to conduct clinical trials with pregnant women, prisoners, and children, for which the regulations specify additional protections. This study challenges current thinking about federal regulations' group-based approach to defining vulnerable populations.

Defining vulnerability in European pregnant women, a Delphi study.

OBJECTIVE: Vulnerability among pregnant women is an important and complex theme in the everyday practice of midwives. Exchanging knowledge and best practices about vulnerability between midwives in Europe can contribute to improving the knowledge and skills of midwives and as a result improve the care for vulnerable pregnant women. We therefore start a consortium with midwives, midwifery teachers, researchers and students from organizations of seven European cities with the aim to exchange knowledge and best practices concerning vulnerable pregnant women between midwives. To be able to effectively exchange knowledge and best practices, our consortium started with this study focuses on establishing a mutual definition of vulnerable pregnant women. Therefore, the aim of this study is to develop a mutual definition of vulnerable pregnant women and to identify aspects related to vulnerability. DESIGN: Delphi study with four rounds: (1) gathering existing knowledge from literature and definitions used by partners of the consortium, (2) and (3) two survey rounds and (4) an in-person consensus meeting. SETTING: Consortium of midwives, midwifery teachers, researchers and students from Antwerp (Belgium), Ghent (Belgium), Turku (Finland), Milan (Italy), Pila (Poland), Lisbon (Portugal) and Rotterdam (The Netherlands) PARTICIPANTS: We included all consortium members in the Delphi study. FINDINGS: Various aspects related to vulnerability and appropriate definitions were identified during the Delphi rounds. Consensus about the aspects related to vulnerability and the definition of vulnerable pregnant women was reached during the final consensus meeting. A vulnerable pregnant woman was defined as a woman who is threatened by physical, psychological, cognitive and/or social risk factors in combination with lack of adequate support and/or adequate coping skills. KEY CONCLUSION: We reached consensus about a mutual definition of vulnerable pregnant women and aspects related to vulnerability within this consortium. The Delphi approach led to interesting discussions and was a valuable method to define the concept of vulnerable pregnant women within our project . IMPLICATIONS FOR PRACTICE: In order to accomplish a project that aimed to improve care for vulnerable pregnant women it was important to first identify the population of vulnerable pregnant women with a mutual definition.

Vulnerability factors associated with HIV/AIDS hospitalizations: a case-control study.

OBJECTIVES: to identify the association between HIV/AIDS hospitalizations and factors that integrate individual, social, and programmatic vulnerabilities. METHODS: a case-control study conducted in 2014 in a municipality in the state of São Paulo. "Cases" included people living with HIV (PLHIV) hospitalized and "control" those who were outpatients. Interviews were conducted using a tool with sociodemographic variables, clinical characteristics and other vulnerabilities. Data were analyzed by conditional logistic regression. RESULTS: fifty-six cases and 112 control participated. Risk factors for HIV hospitalization were: unemployed and retired individuals; homeless people; non-antiretroviral users; individuals who did not regularly attend returns. Access to social workers was a protective factor for hospitalization. CONCLUSIONS: this research contributed to measure the social, individual and programmatic vulnerabilities that interfere with HIV worsening and, consequently, unfavorable outcome such as hospitalization.

A comparative analysis of Medicaid long-term care policies and their effects on elderly dual enrollees.

Individuals with dual enrollment in Medicare and Medicaid have become the focus of heightened US federal and state policy interest in recent years. These beneficiaries are among the most vulnerable and costly persons served by either program. This analysis uses a reduced-form econometric model and a unique survey of community-resident dual enrollees to take a critical step toward understanding the relationships and combinations of state long-term care (LTC) policies and their relative effectiveness in achieving their intended effects: increasing access to care, improving activities of daily living/instrumental activities of daily living (ADL/IADL) assistance, and reducing unmet needs. We then simulate the effects of alternative policies to determine the most effective combination.The combination of policies that was most effective in reducing the percentage of individuals receiving low levels of assistance was high spending in the community relative to nursing home and low community LTC spending per recipient; that is, spending more on community care and spreading it across more people. Overall, this analysis confirms that Medicaid LTC policy decisions by states, and the combinations of policies that are implemented, result in important variations in levels of assistance to elderly persons with disabilities.

Intersectional decomposition analysis with differential exposure, effects, and construct.

In recent years a wide array of proposals for bringing intersectional perspectives into quantitative studies of health disparities have appeared, from studies of interaction, predictive discrimination, to mediation. Bauer and Scheim, in a companion set of articles, extend these proposals by developing new attribution-blind measures of perceived discrimination and using VanderWeele's 3-way decomposition to quantify its contribution to disparities through differential exposure and differential effects (sometimes called differential vulnerability or susceptibility). In this commentary, after providing an overview of causal inference interpretations with social characteristics, we provide a broad overview of old and new decomposition methods in the social sciences literature and contrast their strengths and weaknesses for studying intersectional inequalities. We then examine how different forms of differential effects can be expressed within these decompositions and discuss their utility for the purpose of informing interventions for reducing disparities. Last, we discuss the tension in social sciences research when prominent explanatory variables represent constructs that are only defined or exist for certain marginalized populations and may not neatly fit within the decomposition methods framework. Through these discussions, we aim to provide greater conceptual clarity for applied researchers who are interested in using decomposition methods and other approaches to advance intersectional equity.