Analysis of missed clinic visits, preferred languages, and telemedicine in a pediatric gastroenterology practice.

OBJECTIVES: Previous studies have demonstrated a relationship between socioeconomic disparities and missed clinic visits (MCV). However, the relationship between patient-preferred language and MCVs, particularly with respect to telemedicine, remains relatively underexplored. We sought to characterize the associations between MCV and patient-level predictors, including preferred language, in a large single-center pediatric gastroenterology, hepatology, and nutrition practice. METHODS: This retrospective longitudinal cohort study included all missed or completed outpatient visits in the Gastroenterology, Hepatology, and Nutrition Programs at Boston Children's Hospital from January 1, 2016 to May 20, 2022. Univariate and multivariate hierarchical generalized linear mixed models were employed to identify associations between visit- and patient-level predictors and an MCV outcome. RESULTS: A total of 300,201 visits from 70,710 patients residing in Massachusetts were included. Univariate analyses revealed higher MCV odds for Hispanic patients and those from areas with the highest Social Vulnerability Index (SVI), and these odds increased with telemedicine (Hispanic in-person odds ratio [OR] 5.21 [(95% confidence interval) 4.93-5.52] vs. telemedicine OR 8.79 [7.85-9.83]; highest SVI in-person OR 5.28 [4.95-5.64] vs. telemedicine OR 7.82 [6.84-8.96]). Controlled multivariate analyses revealed that among six language groups, only Spanish language preference was associated with higher MCV odds, which increased with telemedicine (Spanish in-person adjusted OR [aOR] 1.35 [1.24-1.48] vs. telemedicine aOR 2.1 [1.83-2.44]). CONCLUSIONS: Patients preferring Spanish experience unique barriers to care beyond those faced by other language preference groups, and telemedicine may exacerbate these barriers.

Capturing learning curves with the multiday Boston Remote Assessment of Neurocognitive Health (BRANCH): Feasibility, reliability, and validity.

OBJECTIVE: Unsupervised remote digital cognitive assessment makes frequent testing feasible and allows for measurement of learning over repeated evaluations on participants' own devices. This provides the opportunity to derive individual multiday learning curve scores over short intervals. Here, we report feasibility, reliability, and validity, of a 7-day cognitive battery from the Boston Remote Assessment for Neurocognitive Health (Multiday BRANCH), an unsupervised web-based assessment. METHOD: Multiday BRANCH was administered remotely to 181 cognitively unimpaired older adults using their own electronic devices. For 7 consecutive days, participants completed three tests with associative memory components (Face-Name, Groceries-Prices, Digit Signs), using the same stimuli, to capture multiday learning curves for each test. We assessed the feasibility of capturing learning curves across the 7 days. Additionally, we examined the reliability and associations of learning curves with demographics, and traditional cognitive and subjective report measures. RESULTS: Multiday BRANCH was feasible with 96% of participants completing all study assessments; there were no differences dependent on type of device used (t = 0.71, p = .48) or time of day completed (t = -0.08, p = .94). Psychometric properties of the learning curves were sound including good test-retest reliability of individuals' curves (intraclass correlation = 0.94). Learning curves were positively correlated with in-person cognitive tests and subjective report of cognitive complaints. CONCLUSIONS: Multiday BRANCH is a feasible, reliable, and valid cognitive measure that may be useful for identifying subtle changes in learning and memory processes in older adults. In the future, we will determine whether Multiday BRANCH is predictive of the presence of preclinical Alzheimer's disease. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Impact of Modest Price Increases and Single Cigar Restrictions on Youth Cigar Use.

INTRODUCTION: In 2011, Boston restricted cigar sales to packages of at least 4 cigars unless sold at a minimum of $2.50 per cigar. Nearly 200 localities in Massachusetts have since adopted policies establishing minimum pack quantities of 2-5 or minimum prices of $2.50-5.00 per cigar. The objective of this study was to examine the impact of these policies on youth cigar use. METHODS: Biennial data from 1999 to 2019 were obtained from the Massachusetts Youth Risk Behavior Survey and analyzed in 2023. Final analytic samples included 15,674 youth for the Boston analyses and 35,674 youth for the statewide analyses. For Boston, change in use was examined from prepolicy (1999-2011) to postpolicy (2012-2019). For statewide analyses, the percentage of the state covered by a policy was estimated. Multivariable logistic regressions examined the impact of cigar policies on cigar and cigarette use. Analyses were adjusted for sociodemographic characteristics and stratified by sex and race. RESULTS: Policy enactment was associated with significant decreases in the odds of cigar use in Boston (AOR: 0.28; 95% CI: 0.17-0.47) and statewide (AOR: 0.98; 95% CI: 0.98-0.99), with similar findings for cigarette use. Results were consistent among males and females statewide but only among males in Boston. By race statewide and in Boston, odds of cigar use decreased significantly among White, Black, and Hispanic youth, but not youth of other races. CONCLUSIONS: These findings indicate small increases in the quantity and price of cigar packs could discourage young people from purchasing and using cigars, providing significant benefits for local tobacco control efforts.

Estimated glomerular filtration rate among intensive care unit survivors: From the removal of race coefficient to cystatin C-based equations.

PURPOSE: Black race coefficient used in serum creatinine (sCr)-based estimated glomerular filtration rate (eGFR) calculation may perpetuate racial disparities. Among intensive care unit (ICU) survivors, sCr overestimates kidney function due to sarcopenia. Cystatin C (cysC) is a race- and muscle mass-independent eGFR marker. We investigated the impact of removing the race coefficient from sCr-based eGFR and compared cysC- and sCr-based eGFR in ICU survivors. MATERIALS AND METHODS: Among 30,920 patients from 2 institutions in the Bronx and Boston, eGFR was calculated at hospital discharge using sCr-based equations with and without race coefficient (eGFRsCr2009 and eGFRsCr2021). In a subset with available cysC between ICU admission and 1-year follow-up, sCr- and cysC-based estimates were compared. RESULTS: eGFRsCr2021 was higher than eGFRsCr2009 by a median of 4 ml/min/1.73 m2 among non-Black patients and lower by a median of 8 ml/min/1.73 m2 among Black patients. Removing race coefficient reclassified 12.9% of non-Black subjects and 16.1% of Black subjects to better and worse eGFR category, respectively, and differentially impacted the prevalence of kidney dysfunction between the institutions due to differences in racial composition. Among 51 patients with available cysC (108 measurements), cysC-based estimates were lower than sCr-based estimates (median difference 9 to 16 ml/min/1.73 m2), resulting in reclassification to worse eGFR category in 34% to 53.5% of measurements. CONCLUSIONS: Among ICU survivors, removal of race coefficient leads to lower eGFR in Black patients and may contribute to overestimation of kidney function in non-Black patients. While cysC is rarely used, estimates based on this marker are significantly lower than those based on sCr.

Simulating Energy Use, Indoor Temperatures, and Utility Cost Impacts Amidst a Warming Climate in a Multi-family Housing Model.

Rising ambient temperatures due to climate change will impact both indoor temperatures and heating and cooling utility costs. In traditionally colder climates, there are potential tradeoffs in how to meet the reduced heating and increased cooling demands, and issues related to lack of air conditioning (AC) access in older homes and among lower-income populations to prevent extreme heat exposure. We modeled a typical multi-family home in Boston (MA) in the building simulation program EnergyPlus to assess indoor temperature and energy consumption in current (2020) and projected future (2050) weather conditions. Selected households were those without AC (no AC), those who ran AC sometimes (some AC), and those with sufficient resources to run AC always (full AC). We considered stylized cooling subsidy policies that allowed households to move between groups, both independently and in conjunction with energy efficiency retrofits. Results showed that future weather conditions without policy changes yielded an increase in indoor summer temperatures of 2.1 °C (no AC), increased cooling demand (range: 34-50%), but led to a decrease in net yearly total utility costs per apartment (range: - $21 to - $38). Policies that allowed households to move to greater AC utilization yielded average indoor summer temperature decreases (- 3.5 °C to - 6.2 °C) and net yearly total utility increases (range: + $2 to + $94) per apartment unit, with greater savings for retrofitted homes primarily due to large decreases in heating use. Our model results reinforce the importance of coordinated public policies addressing climate change that have an equity lens for both health and climate goals.

Disparities in joint exposure to environmental and social stressors in urban households in Greater Boston.

OBJECTIVES: Understanding how environmental and social stressors cluster is critical to explaining and addressing health disparities. It remains unclear how these stressors cluster at fine spatial resolution in low to medium-income, urban households. We explored patterns of environmental and social exposures at the household-level and potential predictors of these joint exposures in two environmental justice communities in the Greater Boston area. METHODS: We recruited 150 households in Chelsea, MA and the Dorchester neighborhood of Boston, MA, between 2016 and 2019 and collected data on two domains: environmental and social stressor. For each domain, we fit Latent Class Analysis (LCA) models to exposure data to assess intra-domain variability, and cross-classified the resultant classes to identify joint exposure profiles. We compared differences in the distribution of these profiles by participants' demographic and household characteristics using χ2, Fisher's exact, Analysis of Variance, and Kruskal-Wallis tests. RESULTS: We identified two latent classes in each domain: High environmental (n = 90; 60.4%), Low environmental (n = 59; 39.6%), High Social (n = 31; 20.8%), and Low Social (n = 118; 79.2%). Cross-classification yielded four joint exposure profiles: Both Low (n = 46, 30.9%); Both High (n = 18, 12.1%); High environmental-Low Social (n = 72, 48.3%); and Low environmental-High Social (n = 13, 8.7%). Significant group differences were found by housing type (e.g., single-family vs. multi-family) (Fisher's exact p = 0.0016), housing tenure (p = 0.0007), and study site (p < 0.0001). We also observed differences by race/ethnicity, income, and education: households that were Hispanic/Latinx, below the poverty level, and with lower education were more likely to be in the Both High group. CONCLUSIONS: Our analyses confirmed that environmental and social stressors cluster in socially disadvantaged households. Housing type, housing tenure, and location of the residence were also strong predictors of cluster membership, with renter and multi-family residents at risk of high exposures to environmental and social stressors.

Bridging Health Disparities and Improving Reproductive Outcomes With Health Center-Affiliated Doula Programs.

Doulas are community perinatal professionals trained in pregnancy health, childbirth preparation, labor support, lactation counseling, and postnatal care. Doulas serve as patient advocates and provide laboring patients with continuous one-to-one support including informational, physical, and emotional support. Research shows that access to continuous labor support contributes to positive health outcomes such as increasing rates of spontaneous vaginal delivery, shorter labor, less need for analgesics, and increased satisfaction with the birthing process. However, despite their benefits, socioeconomic, structural, and systemic factors limit doula accessibility and manifest in low utilization among patients who could benefit from doulas the most. Given the positive health implications of doula support and the need for these services in underserved populations, there is an urgency to increase the accessibility of doulas. Several health centers in the United States have created successful doula programs to meet the needs of their patient populations. To better understand these programs, we interviewed and collaborated on this paper with program representatives from Boston Medical Center's Birth Sisters and DREAM: Delivery Resources, Education, and Advocacy for Moms; UNC Health's Birth Partners; and Michigan Medicine's Dial-A-Doula. Because many health centers serve as large public safety-net hospitals, having more health center-affiliated doula programs nationwide could be a positive step in bridging disparities and improving maternal and child health.

Exposure to infection when accessing groceries reveals racial and socioeconomic inequities in navigating the pandemic.

Disasters often create inequitable consequences along racial and socioeconomic lines, but a pandemic is distinctive in that communities must navigate the ongoing hazards of infection exposure. We examine this for accessing essential needs, specifically groceries. We propose three strategies for mitigating risk when accessing groceries: visit grocery stores less often; prioritize generalist grocery stores; seek out stores whose clientele have lower infection rates. The study uses a unique combination of data to examine racial and socioeconomic inequities in the ability to employ these strategies in the census block groups of greater Boston, MA in April 2020, including cellphone-generated GPS records to observe store visits, a resident survey, localized infection rates, and demographic and infrastructural characteristics. We also present an original quantification of the amount of infection risk exposure when visiting grocery stores using visits, volume of visitors at each store, and infection rates of those visitors' communities. Each of the three strategies for mitigating exposure were employed in Boston, though differentially by community. Communities with more Black and Latinx residents and lower income made relatively more grocery store visits. This was best explained by differential use of grocery delivery services. Exposure and exposure per visit were higher in communities with more Black and Latinx residents and higher infection rates even when accounting for strategies that diminish exposure. The findings highlight two forms of inequities: using wealth to transfer risk to others through grocery deliveries; and behavioral segregation by race that makes it difficult for marginalized communities to avoid hazards.

A food bank program to help food pantries improve healthy food choices: mixed methods evaluation of The Greater Boston Food Bank's Healthy Pantry Program.

BACKGROUND: The Greater Boston Food Bank's (GBFB) Healthy Pantry Program (HPP) is an online training that teaches food pantry staff to implement behavioral nudges (e.g., traffic-light nutrition labels, choice architecture) to promote healthier client choices. This study assessed if HPP was associated with healthier food bank orders by food pantries and identified implementation facilitators and barriers. METHODS: This mixed methods study collected quantitative data from a matched cohort of 10 HPP food pantries and 99 matched control food pantries in eastern Massachusetts that allow clients to choose their own food, and qualitative data from structured individual interviews with 8 HPP pantry staff. A difference-in-differences analysis compared changes in percentage of pantries' food bank orders (by weight) of foods labeled green/yellow (healthier choices) and fresh produce from baseline to 6 and 10 months between HPP and control pantries. Interviews were coded for implementation facilitators and barriers. RESULTS: Before starting HPP, green-yellow ordering was 92.0% (SD 4.9) in control and 87.4% (SD 5.4) in HPP pantries. Participation in HPP was not associated with changes in green-yellow or fresh produce ordering at 6 or 10 months. HPP implementation facilitators included HPP training being accessible (sub-themes: customizable, motivating) and compatible with client-choice values. Barriers included resource limitations (sub-themes: staff shortage, limited space) and concerns about stigmatizing client food choices with use of labels for unhealthy foods. CONCLUSIONS: An online program to help pantries promote healthier client choices was not associated with changes in how much healthy food pantries ordered from the food bank, suggesting it did not substantially change client choices. Implementation challenges and high baseline healthy ordering may have influenced HPP's effectiveness.

Prevalence, Management, and Outcomes Related to Preoperative Medical Orders for Life Sustaining Treatment (MOLST) in an Adult Surgical Population: Preoperative MOLST and Code Status Discussions.

OBJECTIVE: To determine prevalence of documented preoperative code status discussions and postoperative outcomes (specifically mortality, readmission, and discharge disposition) of patients with completed MOLST forms before surgery. SUMMARY OF BACKGROUND DATA: A MOLST form documents patient care preference regarding treatment limitations. When considering surgery in these patients, preoperative discussion is necessary to ensure concordance of care. Little is known about prevalence of these discussions and postoperative outcomes. METHODS: A retrospective cohort study was conducted consisting of all patients having surgery during a 1-year period at a tertiary care academic center in Boston, Massachusetts. RESULTS: Among 21,787 surgical patients meeting inclusion criteria, 402 (1.8%) patients had preoperative MOLST. Within the MOLST, 224 (55.7%) patients had chosen to limit cardiopulmonary resuscitation and 214 (53.2%) had chosen to limit intubation and mechanical ventilation. Code status discussion was documented presurgery in 169 (42.0%) patients with MOLST. Surgery was elective or nonurgent for 362 (90%), and median length of stay (Q1, Q3) was 5.1 days (1.9, 9.9). The minority of patients with preoperative MOLST were discharged home [169 (42%), and 103 (25.6%) patients were readmitted within 30 days. Patients with preoperative MOLST had a 30-day mortality of 9.2% (37 patients) and cumulative 90-day mortality of 14.9% (60 patients). CONCLUSIONS: Fewer than half of surgical patients with preoperative MOLST have documented code status discussions before surgery. Given their high risk of postoperative mortality and the diversity of preferences found in MOLST, thoughtful discussion before surgery is critical to ensure concordant perioperative care.

Household food insecurity is associated with obesogenic health behaviours among a low-income cohort of pregnant women in Boston, MA.

OBJECTIVE: To examine associations of household food insecurity with health and obesogenic behaviours among pregnant women enrolled in an obesity prevention programme in the greater Boston area. DESIGN: Cross-sectional evaluation. Data were collected from structured questionnaires that included a validated two-item screener to assess household food insecurity. We used separate multivariable linear and logistic regression models to quantify the association between household food insecurity and maternal health behaviours (daily consumption of fruits and vegetables, sugar-sweetened beverages and fast food, physical activity, screen time, and sleep), mental health outcomes (depression and stress), hyperglycaemia status and gestational weight gain. SETTING: Three community health centres that primarily serve low-income and racial/ethnic minority patients in Revere, Chelsea and Dorchester, Massachusetts. PARTICIPANTS: Totally, 858 pregnant women participating in the First 1,000 Days program, a quasi-experimental trial. RESULTS: Approximately 21 % of women reported household food insecurity. In adjusted analysis, household food insecurity was associated with low fruit and vegetable intake (ß = -0·31 daily servings; 95 % CI -0·52, -0·10), more screen time (ß = 0·32 daily hours; 95 % CI 0·04, 0·61), less sleep (ß = -0·32 daily hours; 95 % CI -0·63, -0·01), and greater odds of current (adjusted odds ratio (AOR) 4·42; 95 % CI 2·33, 8·35) or past depression (AOR 3·01; 95 % CI 2·08, 4·35), and high stress (AOR 2·91; 95 % CI 1·98, 4·28). CONCLUSIONS: In our sample of mostly low-income, racial/ethnic minority pregnant women, household food insecurity was associated with mental health and behaviours known to increase the likelihood of obesity.

Financial Coaching Offers New Paths To A Healthy Future.

With tax assistance, financial literacy education, and other programs, Boston Medical Center helps families rise out of poverty.

Catalyzing Storytelling in Communication Infrastructure Theory: A Study of Local Ethnic Media.

Communication infrastructure theory (CIT) suggests that an ethnic enclave's communication infrastructure (CI) shapes the community's unique social processes that give rise to social determinants of health. A well-integrated CI in ethnic enclaves that includes community-based organizations (CBOs), local ethnic media, and resident networks is positively associated with residents' health outcomes. Through storytelling, CBOs and other community actors obtain and disseminate information, develop a sense of belonging to the community, and participate in problem-solving activities, including health-related ones. Local ethnic media can play an important role in building a network of neighborhood storytellers by catalyzing storytelling about local resources and problems. We propose three main categories of "catalyzing storytelling" by local ethnic media: 1) CBO stories, 2) geo-ethnic stories, and 3) presentation of root causes and solutions for community problems. This study examines the content of Boston Chinatown's local ethnic news media outlet, Sampan, to assess the three categories of catalyzing stories. We analyzed a total of 340 news articles and one interview with the editor. The findings showed that Sampan tells stories in all three categories. Based on our findings, we further develop the concept of catalyzing as a communication process in CIT. This new concept in CIT has practical implications for public health communication as it demonstrates a process through which local ethnic media can foster community engagement and health. Health communicators should seek opportunities to work collaboratively with local ethnic media in ways that will serve to catalyze community.

The Boston Process Approach and Digital Neuropsychological Assessment: Past Research and Future Directions.

Neuropsychological assessment using the Boston Process Approach (BPA) suggests that an analysis of the strategy or the process by which tasks and neuropsychological tests are completed, and the errors made during test completion convey much information regarding underlying brain and cognition and are as important as overall summary scores. Research over the last several decades employing an analysis of process and errors has been able to dissociate between dementia patients diagnosed with Alzheimer's disease, vascular dementia associated with MRI-determined white matter alterations, and Parkinson's disease; and between mild cognitive impairment subtypes. Nonetheless, BPA methods can be labor intensive to deploy. However, the recent availability of digital platforms for neuropsychological test administration and scoring now enables reliable, rapid, and objective data collection. Further, digital technology can quantify highly nuanced data previously unobtainable to define neurocognitive constructs with high accuracy. In this paper, a brief review of the BPA is provided. Studies that demonstrate how digital technology translates BPA into specific neurocognitive constructs using the Clock Drawing Test, Backward Digit Span Test, and a Digital Pointing Span Test are described. Implications for using data driven artificial intelligence-supported analytic approaches enabling the creation of more sensitive and specific detection/diagnostic algorithms for putative neurodegenerative illness are also discussed.

Racial/ethnic health disparities among children with special health care needs in Boston, Massachusetts.

BACKGROUND: Little is known about the factors that contribute to racial/ethnic disparities among children with special health care needs (CSHCN). OBJECTIVE: To quantify the contributions of determinants of racial/ethnic disparities in health and health care among CSHCN in Boston, Massachusetts. METHODS: A sample of 326 Black, Latino, and white CSHCN was drawn from the Boston Survey of Children's Health, a city-wide representative sample of children. The study implemented Oaxaca-Blinder-style decomposition techniques to examine the relative contributions of health resources and child-, family-, and neighborhood-level factors to disparities in four outcomes: health status, barriers to medical care, oral health status, and utilization of preventive dental care. RESULTS: White CSHCN had a greater likelihood of having very good/excellent health and oral health and were less likely to experience barriers to care than Black CSHCN. Compositional differences on predictors explained 63%, 98%, and 80% of these gradients, respectively. Group variation in household income, family structure, neighborhood support, and exposure to adverse childhood experiences accounted for significant portions of the Black-white gaps in health and access. White CSHCN were also more likely to have very good/excellent health and oral health compared to Latino CSHCN. Differences on predictors accounted for about 86% and 80% of these gaps, respectively. Household income, adverse childhood experiences, and household language emerged as significant determinants of Latino-white disparities. CONCLUSIONS: Racial/ethnic health disparities among CSHCN are explained by relatively few determinants. Several of the contributing factors that emerged from the analysis and could be targeted by public health and policy interventions.

Virtual Compared With In-Clinic Transvaginal Ultrasonography for Ovarian Reserve Assessment.

OBJECTIVE: To evaluate noninferiority of virtual transvaginal ultrasonography compared with in-clinic ultrasonography for ovarian reserve assessment. METHODS: We conducted a single-site, head-to-head crossover trial. Participants performed self-administered virtual transvaginal ultrasonography at home, guided by a remote-certified ultrasound technologist, then underwent transvaginal ultrasonography in-clinic with another ultrasound technologist. Participants were women in the greater Boston area interested in evaluating ovarian reserve and recruited through social media, health care referrals, and professional networks. The uterus and ovaries were captured in sagittal and transverse views. These randomized recordings were reviewed by two or three independent, blinded reproductive endocrinologists. The primary outcome was noninferiority of the rate of clinical quality imaging produced at home compared with in clinic. Sample size was selected for greater than 90% power, given the 18% noninferiority margin. Secondary outcomes included antral follicle count equivalency and net promoter score superiority. RESULTS: Fifty-six women were enrolled from December 2020 to May 2021. Participants varied in age (19-35 years), BMI (19.5-33.9), and occupation. Ninety-six percent of virtual and 98% of in-clinic images met "clinical quality." The difference of -2.4% (97.5% CI lower bound -5.5%) was within the noninferiority margin (18%). Antral follicle counts were equivalent across settings, with a difference in follicles (0.23, 95% CI -0.36 to 0.82) within the equivalence margin (2.65). Virtual examinations had superior net promoter scores (58.1 points, 97.5% CI of difference 37.3-79.0, P<.01), indicating greater satisfaction with the virtual experience. CONCLUSION: Virtual transvaginal ultrasonography remotely guided by an ultrasonography technologist is noninferior to in-clinic transvaginal ultrasonography for producing clinical quality images and is equivalent for estimating antral follicle count. Virtual transvaginal ultrasonography had superior patient satisfaction and has potential to significantly expand patient access to fertility care. FUNDING SOURCE: This study was sponsored by Turtle Health. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, NCT04687189.

Assessment of a Crisis Standards of Care Scoring System for Resource Prioritization and Estimated Excess Mortality by Race, Ethnicity, and Socially Vulnerable Area During a Regional Surge in COVID-19.

Importance: Crisis standards of care (CSOC) scores designed to allocate scarce resources during the COVID-19 pandemic could exacerbate racial disparities in health care. Objective: To analyze the association of a CSOC scoring system with resource prioritization and estimated excess mortality by race, ethnicity, and residence in a socially vulnerable area. Design, Setting, and Participants: This retrospective cohort analysis included adult patients in the intensive care unit during a regional COVID-19 surge from April 13 to May 22, 2020, at 6 hospitals in a health care network in greater Boston, Massachusetts. Participants were scored by acute severity of illness using the Sequential Organ Failure Assessment score and chronic severity of illness using comorbidity and life expectancy scores, and only participants with complete scores were included. The score was ordinal, with cutoff points suggested by the Massachusetts guidelines. Exposures: Race, ethnicity, Social Vulnerability Index. Main Outcomes and Measures: The primary outcome was proportion of patients in the lowest priority score category stratified by self-reported race. Secondary outcomes were discrimination and calibration of the score overall and by race, ethnicity, and neighborhood Social Vulnerability Index. Projected excess deaths were modeled by race, using the priority scoring system and a random lottery. Results: Of 608 patients in the intensive care unit during the study period, 498 had complete data and were included in the analysis; this population had a median (IQR) age of 67 (56-75) years, 191 (38.4%) female participants, 79 (15.9%) Black participants, and 225 patients (45.7%) with COVID-19. The area under the receiver operating characteristic curve for the priority score was 0.79 and was similar across racial groups. Black patients were more likely than others to be in the lowest priority group (12 [15.2%] vs 34 [8.1%]; P = .046). In an exploratory simulation model using the score for ventilator allocation, with only those in the highest priority group receiving ventilators, there were 43.9% excess deaths among Black patients (18 of 41 patients) and 28.6% (58 of 203 patients among all others (P = .05); when the highest and intermediate priority groups received ventilators, there were 4.9% (2 of 41 patients) excess deaths among Black patients and 3.0% (6 of 203) among all others (P = .53). A random lottery resulted in more excess deaths than the score. Conclusions and Relevance: In this study, a CSOC priority score resulted in lower prioritization of Black patients to receive scarce resources. A model using a random lottery resulted in more estimated excess deaths overall without improving equity by race. CSOC policies must be evaluated for their potential association with racial disparities in health care.

Projecting Quarantine Utilization During a Pandemic.

Objectives. To develop an approach to project quarantine needs during an outbreak, particularly for communally housed individuals who interact with outside individuals. Methods. We developed a method that uses basic surveillance data to do short-term projections of future quarantine needs. The development of this method was rigorous, but it is conceptually simple and easy to implement and allows one to anticipate potential superspreading events. We demonstrate how this method can be used with data from the fall 2020 semester of a large urban university in Boston, Massachusetts, that provided quarantine housing for students living on campus in response to the COVID-19 pandemic. Our approach accounted for potentially infectious interactions between individuals living in university housing and those who did not. Results. Our approach was able to accurately project 10-day-ahead quarantine utilization for on-campus students in a large urban university. Our projections were most accurate when we anticipated weekend superspreading events around holidays. Conclusions. We provide an easy-to-use software tool to project quarantine utilization for institutions that can account for mixing with outside populations. This software tool has potential application for universities, corrections facilities, and the military. (Am J Public Health. 2022;112(2):277-283. https://doi.org/10.2105/AJPH.2021.306573).

Association of Employees' Meal Skipping Patterns with Workplace Food Purchases, Dietary Quality, and Cardiometabolic Risk: A Secondary Analysis from the ChooseWell 365 Trial.

BACKGROUND: Employed adults may skip meals due to time or financial constraints, challenging work schedules, or limited workplace food choices. Little is known about the relationship between employees' meal skipping patterns and workplace dietary choices and health. OBJECTIVE: To examine whether hospital employees' meal skipping patterns were associated with workplace food purchases, dietary quality, and cardiometabolic risk factors (ie, obesity, hypertension, and prediabetes/diabetes). DESIGN: This is a secondary cross-sectional analysis of baseline data from the ChooseWell 365 randomized controlled trial. Employees reported meal-skipping frequency in a baseline survey. The healthfulness of workplace food purchases was determined with a validated Healthy Purchasing Score (HPS) (range = 0 to 100 where higher scores = healthier purchases) calculated using sales data for participants' purchases in the 3 months before study enrollment. Dietary quality was measured with the 2015 Healthy Eating Index (range = 0 to 100 where higher score = healthier diet) from two 24-hour recalls. Cardiometabolic risk factors were ascertained from clinic measurements. PARTICIPANTS/SETTING: Participants were 602 hospital employees who regularly visited workplace cafeterias and enrolled in ChooseWell 365, a workplace health promotion study in Boston, MA, during 2016-2018. MAIN OUTCOME MEASURES: Primary outcomes were HPS, 2015 Healthy Eating Index, and cardiometabolic risk factors. STATISTICAL ANALYSES: Regression analyses examined differences in HPS, 2015 Healthy Eating Index, and cardiometabolic variables by meal skipping frequency, adjusting for demographic characteristics. RESULTS: Participants' mean (standard deviation) age was 43.6 (12.2) years and 478 (79%) were women. Overall, 45.8% skipped breakfast, 36.2% skipped lunch, and 24.9% skipped dinner ≥ 1 day/week. Employees who skipped breakfast ≥ 3 days/week (n = 102) had lower HPS (65.1 vs 70.4; P < 0.01) and 2015 Healthy Eating Index score (55.9 vs 62.8; P < 0.001) compared with those who never skipped. Skipping lunch ≥ 3 days/week and dinner ≥ 1 day/week were associated with significantly lower HPS compared with never skipping. Employees who worked nonstandard shifts skipped more meals than those who worked standard shifts. Meal skipping was not associated with obesity or other cardiometabolic variables. CONCLUSIONS: Skipping meals was associated with less healthy food purchases at work, and skipping breakfast was associated with lower dietary quality. Future research to understand employees' reasons for skipping meals may inform how employers could support healthier dietary intake at work.

Assessment of patient navigation programs for breast cancer patients across the city of Boston.

PURPOSE: Healthcare systems contribute to disparities in breast cancer outcomes. Patient navigation is a widely cited system-based approach to improve outcomes among populations at risk for delays in care. Patient navigation programs exist in all major Boston hospitals, yet disparities in outcomes persist. The objective of this study was to conduct a baseline assessment of navigation processes at six Boston hospitals that provide breast cancer care in preparation for an implementation trial of standardized navigation across the city. METHODS: We conducted a mixed methods study in six hospitals that provide treatment to breast cancer patients in Boston. We administered a web-based survey to clinical champions (n = 7) across six sites to collect information about the structure of navigation programs. We then conducted in-person workflow assessments at each site using a semi-structured interview guide to understand site-specific implementation processes for patient navigation programs. The target population included administrators, supervisors, and patient navigators who provided breast cancer treatment-focused care. RESULTS: All sites offered patient navigation services to their patients undergoing treatment for breast cancer. We identified wide heterogeneity in terms of how programs were funded/resourced, which patients were targeted for navigation, the type of services provided, and the continuity of those services relative to the patient's cancer treatment. CONCLUSIONS: The operationalization of patient navigation varies widely across hospitals especially in relation to three core principles in patient navigation: providing patient support across the care continuum, targeting services to those patients most likely to experience delays in care, and systematically screening for and addressing patients' health-related social needs. Gaps in navigation across the care continuum present opportunities for intervention. TRIAL REGISTRATION: Clinical Trial Registration Number NCT03514433, 5/2/2018.