A Review of COVID-19 Hotels in New York City During the Early 2020 Outbreak: An Alternative Care Model.

New York City (NYC) was the epicenter of the early US COVID-19 pandemic. From March to May 2020, overburdened healthcare centers precipitated an emergent need for non-traditional facilities to meet patient care demands. Given travel restrictions and NYC's underutilized tourist infrastructure, hotels were available to support emergency response needs. This article describes the process by which NYC's non-medical COVID-19 hotel programs were selected, mobilized, and operated, including lessons learned. NYC agencies and organizations collaborated, creating an interagency initiative that activated hotels to provide safe isolation and quarantine spaces for those diagnosed with or exposed to COVID-19, aiming to reduce community spread, increase capacity for NYC's strained healthcare system, and mitigate interagency redundancy. Interagency groups addressed hotel challenges, including infection prevention and control; behavioral health, intellectual, and developmental disorders; social determinants of health; and coordination, operations, and planning. NYC's COVID-19 hotel program successfully supported overburdened hospitals by providing alternate locations for non-inpatient COVID-19 individuals. Community engagement required a methodical approach, balancing quality assurance with efficient access. An interagency coordinating body developed and shared clinical criteria for hotel admissions, infection prevention and control (IPC) procedures, and discharge plans, enhancing the program's ability to scale and address complex needs. Lessons learned from this program can be applied for smoother implementation of similar programs in the future.

Understanding the impact of distance and disadvantage on lung cancer care and outcomes: a study protocol.

BACKGROUND: Lung cancer is the third most common cancer in the UK and the leading cause of cancer mortality globally. NHS England guidance for optimum lung cancer care recommends management and treatment by a specialist team, with experts concentrated in one place, providing access to specialised diagnostic and treatment facilities. However, the complex and rapidly evolving diagnostic and treatment pathways for lung cancer, together with workforce limitations, make achieving this challenging. This place-based, behavioural science-informed qualitative study aims to explore how person-related characteristics interact with a person's location relative to specialist services to impact their engagement with the optimal lung pathway, and to compare and contrast experiences in rural, coastal, and urban communities. This study also aims to generate translatable evidence to inform the evidence-based design of a patient engagement intervention to improve lung cancer patients' and informal carers' participation in and experience of the lung cancer care pathway. METHODS: A qualitative cross-sectional interview study with people diagnosed with lung cancer < 6 months before recruitment (in receipt of surgery, radical radiotherapy, or living with advanced disease) and their informal carers. Participants will be recruited purposively from Barts Health NHS Trust and United Lincolnshire Hospitals NHS Trusts to ensure a diverse sample across urban and rural settings. Semi-structured interviews will explore factors affecting individuals' capability, opportunity, and motivation to engage with their recommended diagnostic and treatment pathway. A framework approach, informed by the COM-B model, will be used to thematically analyse facilitators and barriers to patient engagement. DISCUSSION: The study aligns with the current policy priority to ensure that people with cancer, no matter where they live, can access the best quality treatments and care. The evidence generated will be used to ensure that lung cancer services are developed to meet the needs of rural, coastal, and urban communities. The findings will inform the development of an intervention to support patient engagement with their recommended lung cancer pathway. PROTOCOL REGISTRATION: The study received NHS Research Ethics Committee (Ref: 23/SC/0255) and NHS Health Research Authority (IRAS ID 328531) approval on 04/08/2023. The study was prospectively registered on Open Science Framework (16/10/2023; https://osf.io/njq48 ).

The extent of interruptions to primary care medical officers' consultations in the Western Cape.

BACKGROUND:  Administrative tasks are an increasing burden for primary care doctors globally and linked to burnout. Many tasks occur during consultations. They cause interruptions with possible effects on patients' and doctors' experiences and care. The burden and typology of interruptions of doctors in primary care consultations have not been studied in South Africa. Given the link between administrative loads and burnout, describing the extent of these interruptions would help. This study's aim was to assess the extent of interruptions on primary care doctors in the Western Cape. METHODS:  This was a descriptive cross-sectional survey. Doctors from rural and urban primary care clinics in the Western Cape answered an online self-administered survey on the types of interruptions experienced during consultations. Interruptions were categorised and their prevalence calculated. Clinical and non-clinical interruption categories were compared. RESULTS:  There were 201 consultations from 30 doctors. Most interruptions were from retrieving and recording the current patient's information (93.0%), paperwork for other patients (50.7%), and telephone calls about the current patient (41.8%). Other prevalent interruptions were for emergencies (39.8%) and acquiring consumables (37.3%). The median (interquartile range [IQR]) of four (2-4) interruption types per consultation was higher than global settings. CONCLUSION:  Doctors experienced many interruptions during consultations. Their wide range included interruptions unrelated to the current patient.Contribution: This study adds insights from the global south on clinicians' administrative burden. It elaborates on the types of activities that interrupt consultations in an upper-middle income primary care setting. Exploration of interventions to decrease this burden is suggested.

Age, gender and household infrastructural inequality in COVID-19: Contextual analysis of Mamelodi.

BACKGROUND:  Age, gender and household infrastructure are important social determinants affecting health inequalities. This study aims to assess the ways that age and gender of the household head and household infrastructure intersect to create relative advantage and disadvantage in COVID-19 vulnerability. METHODS:  Using household primary care survey data from Mamelodi, Gauteng, headed households were sorted into three risk categories for each of the relevant infrastructural determinants of COVID-19. Bivariate ordinal logistic regression was used to determine the odds of households falling into each risk category. The proportion of high-risk (HR) categories and dwelling types was also calculated. RESULTS:  Households headed by someone ≥ 65 years were less likely to be in all HR categories and more frequently had formal houses. Male-head households were more likely to be HR for water, sanitation and hygiene infrastructure and indoor pollution; however, female-headed households (FHHs) were at higher risk for crowding. In Mamelodi, households headed by ≥ 65 years olds were relatively infrastructurally protected, likely because of pro-equity housing policy, as were FHHs, except for crowding. The care load on FHHs results in their infrastructural protection benefiting more community members, while simultaneously incurring risk. CONCLUSION:  Infrastructural support based on the household head's age and gender could improve targeting and the effectiveness of health interventions. These results demonstrate the importance of a contextual understanding of gender and age inequalities and tailoring public health support based on this understanding.Contribution: This research describes patterns of health-related infrastructural inequality, identifies ways to improve health interventions, and demonstrates the importance of equity-focused policy in an African context.

The quality of routine data for measuring facility-based maternal mortality in public and private health facilities in Kampala City, Uganda.

BACKGROUND: Routine health facility data are an important source of health information in resource-limited settings. Regular quality assessments are necessary to improve the reliability of routine data for different purposes, including estimating facility-based maternal mortality. This study aimed to assess the quality of routine data on deliveries, livebirths and maternal deaths in Kampala City, Uganda. METHODS: We reviewed routine health facility data from the district health information system (DHIS2) for 2016 to 2021. This time period included an upgrade of DHIS2, resulting in two datasets (2016-2019 and 2020-2021) that were managed separately. We analysed data for all facilities that reported at least one delivery in any of the six years, and for a subset of facilities designated to provide emergency obstetric care (EmOC). We adapted the World Health Organization data quality review framework to assess completeness and internal consistency of the three data elements, using 2019 and 2021 as reference years. Primary data were collected to verify reporting accuracy in four purposively selected EmOC facilities. Data were disaggregated by facility level and ownership. RESULTS: We included 255 facilities from 2016 to 2019 and 247 from 2020 to 2021; of which 30% were EmOC facilities. The overall completeness of data for deliveries and livebirths ranged between 53% and 55%, while it was < 2% for maternal deaths (98% of monthly values were zero). Among EmOC facilities, completeness was higher for deliveries and livebirths at 80%; and was < 6% for maternal deaths. For the whole sample, the prevalence of outliers for all three data elements was < 2%. Inconsistencies over time were mostly observed for maternal deaths, with the highest difference of 96% occurring in 2021. CONCLUSIONS: Routine data from childbirth facilities in Kampala were generally suboptimal, but the quality was better in EmOC facilities. Given likely underreporting of maternal deaths, further efforts to verify and count all facility-related maternal deaths are essential to accurately estimate facility-based maternal mortality. Data reliability could be enhanced by improving reporting practices in EmOC facilities and streamlining reporting processes in private-for-profit facilities. Further qualitative studies should identify critical points where data are compromised, and data quality assessments should consider service delivery standards.

Health Equity in All Urban Policies: A Case Study of Richmond, California.

Local governments working in partnership with communities can institutionalize practices that promote health equity. We offer a case study of how one city in the US is implementing Health in All Policies (HiAP) with the explicit aim of promoting health equity. We use participant observations, original document reviews and interviews to describe how Richmond, California, is building new partnerships, programs and practices with community-based organizations and within government itself as part of the implementation of its HiAP Ordinance. We also report on indicators that were identified by community and government stakeholders for tracking progress toward improving place-based determinants of population health. We find that the responsibility for implementing Richmond's HiAP Ordinance rests on a new institution within local government and this entity is building new partnerships, promoting innovative policies and augmenting practices toward greater health equity. We also reveal how city governments and community partners can collaboratively track progress toward health equity using locally gathered data.

Critical role of model organism selection in assessing weak urban electromagnetic field effects: Implications for human health.

The impact of electromagnetic fields on human health has been investigated in recent years using various model organisms, yet the findings remain unclear. In our work, we examined the effect of less-explored, weak electromagnetic fields commonly found in the urban environments we inhabit. We studied different impacts of electromagnetic fields with a frequency of 50 Hz and a combination of 50 Hz and 150 Hz, on both yeasts (Saccharomyces cerevisiae) and human macrophages. We determined growth, survival, and protein composition (SDS-PAGE) (Saccharomyces cerevisiae) and morphology of macrophages (human monocytic cell line). In yeast, the sole observed change after 24 h of exposure was the extension of the exponential growth phase by 17 h. Conversely, macrophages exhibited morphological transformations from the anti-inflammatory to the pro-inflammatory type within just 2 h of exposure to the electromagnetic field. Our results suggest that effects of electromagnetic field largely depend on the model organism. The selection of an appropriate model organism proves essential for the study of the specific impacts of electromagnetic fields. The potential risk associated with the presence of pro-inflammatory M1 macrophages in everyday urban environments primarily arises from the continual promotion of inflammatory reactions within a healthy organism and deserves further investigation.

Prevalence of depressive disorders among the very old in the 21st century.

BACKGROUND: The aim of this study is to explore the prevalence of depressive disorders in very old adults over time, in rural/urban environments, between men/women, as well as to explore other factors associated with depressive disorders. METHODS: This study was conducted utilizing the GERDA-database data, which consists of four cohorts of 85, 90 and 95+ year olds living in Northern Sweden. Participants could reside independently or in residential care. Data collections took place between 2000 and 2017. Descriptive data and logistic regression models were utilized to explore data. RESULTS: The prevalence of depressive disorders increased between 2000/02 and 2015/17 in all age groups, with the highest percentages observed in the 95+ age group, reaching 53.6 % in 2015/17. The prevalence varied from 20.3 % in those without dementia to 65.1 % in those with dementia. Sex or living in an urban/rural environment was not associated with an increased risk of depression in the fully adjusted models. Dementia and reduced capacity in activities of daily living were associated with depressive disorders among 85 and 90-year-olds, while living alone was associated with depressive disorders in the 95+ age group. LIMITATIONS: Potentially limited generalizability, as this study took place in northern Sweden. CONCLUSIONS: The prevalence of depressive disorders among very old adults increases with age and the prevalence also increases throughout cohorts and time. These alarming rates of depressive disorders among the very old require immediate measures and further investigation. Future studies are needed to explore and monitor trends and to plan and design tailored interventions.

Cardiovascular Diseases Increased among the Rural and Urban Population of the Northern Regions of the Republic of Kazakhstan during COVID-19: A Descriptive Study with Forecasting.

Background: The biggest health problem in most developed countries of the world, including Kazakhstan, is high morbidity and death rates due to cardiovascular diseases (CVD), both in urban and rural areas. As is known during the outbreak of COVID-19, the inaccessibility of many medical services played a big role in the incidence of CVD, in particular in the northern regions of the Republic of Kazakhstan (KZ). The objective of our research was to analyze the prevalence of CVD in city and village regions of the northern regions of the Republic of Kazakhstan, considering the outbreak period with forecasting. Methods: A descriptive study with forecasting was conducted based on the "Health of the population of the Republic of Kazakhstan and the activities of healthcare organizations", secondary statistical reporting data (collected volume) of the KZ. Information from this database was collected for five districts, two cities and one city of regional significance in the northern region of the KZ. Results: According to our descriptive study, the incidence of CVD indicates a comparatively large prevalence of CVD among the municipal population of the northern regions of the KZ. The prevalence of CVD in urban areas of the North Kazakhstan region (NKR) was 1682.02 (2015) and 4784.08 (2020) per 100,000 population. Among rural NKR residents, it was (per 100,000 population) 170.84 (2015) and 341.98 (2020). According to the forecast, by 2025, the incidence of CVD will grow, both in urban (7382.91/100,000) and in rural areas (417.29/100,000). Conclusions: Given the situation during the pandemic, the incidence of CVD has had a sharp increase, both in the rural and in urban areas of the northern regions of the KZ. This may be due to the poor availability of medical facilities, and medical services, which may have prevented timely diagnosis, as well as the psychology of the situation and the load on cardiac activity in relation to the pandemic.

The Effect of COVID-19 on Mood Disorders in Urban and Suburban Detroit.

Introduction: The COVID-19 pandemic has increased the global experience of anxiety and depression owing to social isolation and government-mandated quarantine for transmission reduction. To date, literature surrounding the mental health effects of COVID-19 for the U.S. population is limited. Methods: This is a retrospective study from a large metropolitan Detroit health system. Patient encounters between December 23, 2018 and June 22, 2021, with March 23, 2020 being the start of Michigan state-wide lockdown, were used to define pre- and post-COVID-19 encounters, respectively. The data were divided into Detroit and non-Detroit on the basis of patient ZIP code. All patients aged ≥13 years with a visit with a family medicine provider were included. Outcome variables included Patient Health Questionnaires-2 and -9 and General Anxiety Disorder-7 scores; diagnoses of depression, anxiety, adjustment, and grief disorders; antidepressant prescriptions; and behavioral health referrals. Logistic regression was used to determine the incidence of composite mood disorder, depression, and anxiety. Results: A total of 20,970 individuals were included in this study: 10,613 in the Detroit subgroup and 10,357 in the non-Detroit subgroup. A total of 88.2% of the Detroit population were Black, and 70% were female. Logistic regression shows that the incidence of composite mood disorder decreased with increasing age (OR=0.787, 0.608, 0.422, and 0.392; p<0.001). Male sex is a protective factor (OR=0.646, p<0.001). Federal insurance is the only factor presenting a statistically significant increased risk (OR=1.395, p<0.001). There was no statistical difference between residing in urban and suburban areas in the incidence of composite mood disorder (OR=0.996, p=0.953). Conclusions: This research demonstrates that residing in an urban setting did not increase the risk of developing a mental health disorder during the COVID-19 period.

A Grounded Theory of Walking for Health Promotion in Older Urban Adults.

BACKGROUND AND OBJECTIVES: Walking enhances the health, quality of life, and independence of older adults. However, a global decline in urban walking necessitates a reevaluation of segmented, quantitative approaches to policies and theoretical frameworks in geriatric medicine for promoting walking among older adults. This study conceptualized the perceptions, experiences, and behaviors regarding walking, from a health promotion perspective, among older urban adults. RESEARCH DESIGN AND METHODS: Pedestrian-friendly communities were explored for older adults in Seoul, South Korea, using a grounded theory. Thirty-eight older adults actively engaged in walking were recruited between July and December 2020. A qualitative multi-method approach was used, and the collected data were analyzed using open, axial, and selective coding, with axial coding integrating textual and spatiobehavioral information. RESULTS: The open-coding process yielded 92 concepts, 47 subcategories, and 19 categories. Using axial and selective coding principles, a conceptual framework was developed to explain how walking shaped the daily lives of older urban adults and provided multidimensional health benefits. Walking perception attributes were characterized by "embodied subjectivity as a healthy older adult," "autonomy of movement," and "walking as a way to enrich or sustain life." Active walking facilitated interactions between older adults and their neighborhood environment within the context of compact and accessible urban living. DISCUSSION AND IMPLICATIONS: A healthy and age-friendly community encourages interactions between older adults and their neighborhood environment by providing opportunities for daily walking for several purposes, such as providing a sense of autonomy, increasing health-promoting behaviors, and creating a sense of community.

Chronic Low-Grade Inflammation and Brain Structure in the Middle-Aged and Elderly Adults.

Low-grade inflammation (LGI) mainly acted as the mediator of the association of obesity and inflammatory diet with numerous chronic diseases, including neuropsychiatric diseases. However, the evidence about the effect of LGI on brain structure is limited but important, especially in the context of accelerating aging. This study was then designed to close the gap, and we leveraged a total of 37,699 participants from the UK Biobank and utilized inflammation score (INFLA-score) to measure LGI. We built the longitudinal relationships of INFLA-score with brain imaging phenotypes using multiple linear regression models. We further analyzed the interactive effects of specific covariates. The results showed high level inflammation reduced the volumes of the subcortex and cortex, especially the globus pallidus (ß [95% confidence interval] = -0.062 [-0.083, -0.041]), thalamus (-0.053 [-0.073, -0.033]), insula (-0.052 [-0.072, -0.032]), superior temporal gyrus (-0.049 [-0.069, -0.028]), lateral orbitofrontal cortex (-0.047 [-0.068, -0.027]), and others. Most significant effects were observed among urban residents. Furthermore, males and individuals with physical frailty were susceptive to the associations. The study provided potential insights into pathological changes during disease progression and might aid in the development of preventive and control targets in an age-friendly city to promote great health and well-being for sustainable development goals.

Rural-urban residence and life expectancies with and without pain.

This paper analyzes rural-urban disparities in life expectancy with and without pain among upper-middle age and older adults. Data are from the nationally representative Health and Retirement Study, 2000-2018, N = 18,160, age 53+. Interpolated Markov Chain software, based on the multistate life tables, is used to calculate absolute and relative pain expectancies by age, sex, rural-suburban-urban residence and U.S. regions. Results show significant rural disadvantages versus those in urban and often suburban areas. Example: males at 55 in rural areas can expect to live 15.1 years, or 65.2 percent pain-free life, while those in suburban areas expect to live 1.7 more years, or 2.6 percentage points more, pain-free life and urban residents expect to live 2.4 more year, or 4.7 percentage points more. The rural disadvantage persists for females, with differences being a little less prominent. At very old age (85+), rural-urban differences diminish or reverse. Rural-urban pain disparities are most pronounced in the Northeast and South regions, and least in the Midwest and West. The findings highlight that rural-urban is an important dimension shaping the geography of pain. More research is needed to disentangle the mechanisms through which residential environments impact people's pain experiences.

Academic Medical Centers and Federally Qualified Health Centers: Collaboration for the Care of Underserved Communities.

Academic Medical Centers (AMCs) and Federally Qualified Health Centers (FQHCs) are similarly tasked with managing the health of their local community, yet they each face unique challenges in their ability to do so. Integrating AMCs and FQHCs into novel care delivery models can leverage both organizations strengths, providing care in a comprehensive and sustainable fashion. Johns Hopkins Medicine (JHM) implemented this model with a large East Baltimore medical center, creating an AMC-FQHC collaboration focused on providing care to the East Baltimore patient population. This system provided various improvements in care delivery, including increased staffing, new wraparound services, improved access to funding dollars, and decreased out of pocket costs for patients qualifying for financial assistance. The academic missions of research and training were preserved, serving as the primary continuity clinic for several residency programs and as a community site for research. These changes resulted in more robust care for patients while improving the financial standing of the clinic. Through AMC and FQHC partnership, progress can be made toward providing holistic and financially sustainable primary care services in underserved areas while preserving the tripartite mission of academic medicine, with significant pedagogical and research opportunities.

How Can Transitional Housing Be Improved? Insights from Residents' Experiences and Perceptions in New York City.

Homelessness, affecting over half a million Americans, significantly elevates the risks of mental and physical health issues, consequently diminishing life expectancy when compared with the general population. Homelessness is a critical public health issue, and efforts are needed to address lack of housing as a social determinant of health. Transitional housing (TH) programs emerge as vital interventions, offering a place to stay with various support services to facilitate the transition to permanent residency. Nearly half of the unhoused population in the country and over 90% in New York live in TH or shelters. Despite the high utilization rates of TH, engagement with support services and opportunities for improvement remain poorly understood. This study aimed to fill this gap by examining the factors influencing support service usage and opportunities for enhancement through semi-structured interviews with TH residents in New York City to capture their lived experiences and perspectives. Analysis of the interviews (n = 20) revealed five main factors affecting service engagement that aligned with constructs of the socioecological model: intrapersonal (self-efficacy, chronic health conditions, mental health), interpersonal (parenthood and well-being of children with special needs, individual staff interactions, and communication), institutional (bureaucratic challenges, administrative burden, and living facilities), community (social isolation and educational opportunity), and policy (challenge meeting basic needs and undocumented status). Recommendations for bridging service gaps primarily arose at the institutional and community levels, offering critical insights for administrators to tailor services more effectively to TH residents' needs, thus contributing to the broader goal of advancing health equity among the unhoused.

Participatory Systems Thinking to Elucidate Drivers of Food Access and Diet Disparities among Minoritized Urban Populations.

The purpose of this study was to use participatory systems thinking to develop a dynamic conceptual framework of racial/ethnic and other intersecting disparities (e.g., income) in food access and diet in Philadelphia and to identify policy levers to address these disparities. We conducted three group model building workshops, each consisting of a series of scripted activities. Key artifacts or outputs included qualitative system maps, or causal loop diagrams, identifying the variables, relationships, and feedback loops that drive diet disparities in Philadelphia, Pennsylvania. We used semi-structured methods informed by inductive thematic analysis and network measures to synthesize findings into a single causal loop diagram. There were twenty-nine participants with differing vantages and expertise in Philadelphia's food system, broadly representing the policy, community, and research domains. In the synthesis model, participants identified 14 reinforcing feedback loops and one balancing feedback loop that drive diet and food access disparities in Philadelphia. The most highly connected variables were upstream factors, including those related to racism (e.g., residential segregation) and community power (e.g., community land control). Consistent with existing frameworks, addressing disparities will require a focus on upstream social determinants. However, existing frameworks should be adapted to emphasize and disrupt the interdependent, reinforcing feedback loops that maintain and exacerbate disparities in fundamental social causes. Our findings suggest that promising policies include those that empower minoritized communities, address socioeconomic inequities, improve community land control, and increase access to affordable, healthy, and culturally meaningful foods.

Micronutrient deficiency, dietary diversity, and sociodemographic and lifestyle determinants of dietary diversity among pregnant slum-dwelling women in Pune, India.

BACKGROUND: Increasing dietary diversity is a sustainable solution to combat micronutrient deficiencies. Given the large slum population in urban India, double burden of malnutrition, nutritional transition among slum-dwellers, and limited studies focusing on dietary intake and diversity among pregnant slum-dwellers, this study aimed to 1) describe macro- and micronutrient intakes and compare them with guidelines, 2) describe dietary diversity and intake of unhealthy foods and, 3) investigate the sociodemographic and lifestyle determinants of adequate dietary diversity among pregnant slum-dwellers in Pune, Maharashtra, India. METHODS: This study presents cross-sectional data of 454 pregnant slum-dwelling women completing mid-pregnancy visit collected from a larger cohort study. Sociodemographic and lifestyle data were collected at baseline (< 12 weeks gestation). Dietary data (24-h dietary recall) were collected in mid-pregnancy (23 ± 2 weeks). Nutrient intakes were compared with the Estimated Average Requirements (EAR) for pregnant Indian women. Dietary diversity score (DDS, range 0-10) and unhealthy food (sweet snacks, sweet beverages, fried and salty food) group score (range 0-3) were calculated as per FAO guidelines. Multivariate logistic regression was conducted to examine determinants of adequate dietary diversity (DDS ≥ 5). RESULTS: The average age of women was 25 (4.5) years. The median (Q1, Q3) total energy and protein intakes were 1771 (1456, 2185) kcal/d and 44.7 (34.7, 55.0) g/d, respectively. Total energy and protein were consumed as per EAR by 37% and 54% of women, respectively. Forty percent of women exceeded the recommended energy intake from carbohydrates. Diets of slum-dwelling women were lacking in multiple micronutrients (especially iron, zinc, riboflavin, thiamine, folate). The mean DDS was 4.2 ± 1.2 and 36.5% of the women had DDS ≥ 5. All women consumed mainly cereal-based starchy staples; 80% consumed pulses and legumes, and 60% consumed other vegetables. Fifty-nine percent of women consumed ≥ 2 unhealthy food groups. Higher educational and occupational status of the primary earning members of the family and lower parity were determinants of adequate dietary diversity. CONCLUSION: The diets of pregnant slum-dwelling women were lacking in numerous micronutrients. Dietary counselling programs need to be tailored to the socioeconomic backgrounds of pregnant slum-dwelling women and involve their family members to improve reach and effectiveness.

Pediatric Firearm Trauma on the Rise: A Retrospective Review of Over 1,100 Cases in 12 Years at One Center.

BACKGROUND: Gunshot injuries are the leading cause of death among children in the United States. The goal of this study was to better understand if certain age groups, mechanisms of injury, and type of firearms were associated with the increasing rates of pediatric gun-related trauma. We hypothesized that the extremities were disproportionately targeted when compared with the random likelihood of striking specific body-surface areas. METHODS: This study includes pediatric firearm-related injury (FRI) patients who presented to a single free-standing level 1 pediatric hospital or died at the scene from 2010 to 2021. The hospital data was collected prospectively as part of a level 1 trauma system electronic database. Death data was collected from the local coroner's office. RESULTS: Between 2010 and 2021, 1,126 pediatric FRI occurred in the geographic region studied. Demographic information available for 1,118 patients showed that 897 (80.23%) were male, and that black individuals had a statistically significant increased rate of FRI compared with white or Hispanic individuals. Mean age was 13.69 years. Most injuries were caused by handguns. CONCLUSIONS: This data could help leaders design strategies to combat the violence, such as legislation that limits handgun access to all, especially children, and mandates safe storage of handguns. Gun-lock programs, universal background checks, and firearm-ownership education also might help stem this tide of violence. LEVEL OF EVIDENCE: Level II Prognosis study.

Research Translation to Promote Urban Health in Latin America: The SALURBAL Experience.

In highly urbanized and unequal Latin America, urban health and health equity research are essential to effective policymaking. To ensure the application of relevant and context-specific evidence to efforts to reduce urban health inequities, urban health research in Latin America must incorporate strategic research translation efforts. Beginning in 2017, the Urban Health in Latin America (SALURBAL) project implemented policy-relevant research and engaged policymakers and the public to support the translation of research findings. Over 6 years, more than 200 researchers across eight countries contributed to SALURBAL's interdisciplinary network. This network allowed SALURBAL to adapt research and engagement activities to local contexts and priorities, thereby maximizing the policy relevance of research findings and their application to promote policy action, inform urban interventions, and drive societal change. SALURBAL achieved significant visibility and credibility among academic and nonacademic urban health stakeholders, resulting in the development of evidence and tools to support urban policymakers, planners, and policy development processes across the region. These efforts and their outcomes reveal important lessons regarding maintaining flexibility and accounting for local context in research, ensuring that resources are dedicated to policy engagement and dissemination activities, and recognizing that assessing policy impact requires a nuanced understanding of complex policymaking processes. These reflections are relevant for promoting urban health and health equity research translation across the global south and worldwide. This paper presents SALURBAL's strategy for dissemination and policy translation, highlights innovative initiatives and their outcomes, discusses lessons learned, and shares recommendations for future efforts to promote effective translation of research findings.

Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks.

Staff at public health departments have few training materials to learn how to design and fine-tune systems to quickly detect acute, localized, community-acquired outbreaks of infectious diseases. Since 2014, the Bureau of Communicable Disease at the New York City Department of Health and Mental Hygiene has analyzed reportable communicable diseases daily using SaTScan. SaTScan is a free software that analyzes data using scan statistics, which can detect increasing disease activity without a priori specification of temporal period, geographic location, or size. The Bureau of Communicable Disease's systems have quickly detected outbreaks of salmonellosis, legionellosis, shigellosis, and COVID-19. This tutorial details system design considerations, including geographic and temporal data aggregation, study period length, inclusion criteria, whether to account for population size, network location file setup to account for natural boundaries, probability model (eg, space-time permutation), day-of-week effects, minimum and maximum spatial and temporal cluster sizes, secondary cluster reporting criteria, signaling criteria, and distinguishing new clusters versus ongoing clusters with additional events. We illustrate how to support health equity by minimizing analytic exclusions of patients with reportable diseases (eg, persons experiencing homelessness who are unsheltered) and accounting for purely spatial patterns, such as adjusting nonparametrically for areas with lower access to care and testing for reportable diseases. We describe how to fine-tune the system when the detected clusters are too large to be of interest or when signals of clusters are delayed, missed, too numerous, or false. We demonstrate low-code techniques for automating analyses and interpreting results through built-in features on the user interface (eg, patient line lists, temporal graphs, and dynamic maps), which became newly available with the July 2022 release of SaTScan version 10.1. This tutorial is the first comprehensive resource for health department staff to design and maintain a reportable communicable disease outbreak detection system using SaTScan to catalyze field investigations as well as develop intuition for interpreting results and fine-tuning the system. While our practical experience is limited to monitoring certain reportable diseases in a dense, urban area, we believe that most recommendations are generalizable to other jurisdictions in the United States and internationally. Additional analytic technical support for detecting outbreaks would benefit state, tribal, local, and territorial public health departments and the populations they serve.