Mexican-origin women's individual and collective strategies to access and share health-promoting resources in the context of exclusionary immigration and immigrant policies.

BACKGROUND: A growing literature has documented the social, economic, and health impacts of exclusionary immigration and immigrant policies in the early 21st century for Latiné communities in the US, pointing to immigration and immigrant policies as forms of structural racism that affect individual, family, and community health and well-being. Furthermore, the past decade has seen an increase in bi-partisan exclusionary immigration and immigrant policies. Immigration enforcement has been a major topic during the 2024 Presidential election cycle, portending an augmentation of exclusionary policies towards immigrants. Within this context, scholars have called for research that highlights the ways in which Latiné communities navigate exclusionary immigration and immigrant policies, and implications for health. This study examines ways in which Mexican-origin women in a midwestern northern border community navigate restrictive immigration and immigrant policies to access health-promoting resources and care for their well-being. METHODS: We conducted a grounded theory analysis drawing on interviews with 48 Mexican-origin women in Detroit, Michigan, who identified as being in the first, 1.5, or second immigrant generation. Interviews were conducted in English or Spanish, depending on participants' preferences, and were conducted at community-based organizations or other locations convenient to participants in 2013-2014. RESULTS: Women reported encountering an interconnected web of institutional processes that used racializing markers to infer legal status and eligibility to access health-promoting resources. Our findings highlight women's use of both individual and collective action to navigate exclusionary policies and processes, working to: (1) maintain access to health-promoting resources; (2) limit labeling and stigmatization; and (3) mitigate adverse impacts of immigrant policing on health and well-being. The strategies women engaged were shaped by both the immigration processes and structures they confronted, and the resources to which they had access to within their social network. CONCLUSIONS: Our findings suggest a complex interplay of immigration-related policies and processes, social networks, and health-relevant resources. They highlight the importance of inclusive policies to promote health for immigrant communities. These findings illuminate women's agency in the context of structural violence facing immigrant women and are particularly salient in the face of anti-immigrant rhetoric and exclusionary immigration and immigrant policies.

Detecting Early-Stage Pressure Injury in Patients With Dark Skin Tones Using an Enhanced Physical Assessment Technique and Halogen Lighting.

PURPOSE: The purpose of this quality improvement project was to identify stage 1 pressure injuries (PIs) in patients with darker skin tones using an enhanced skin assessment (Skin Assessment for Dark Skin, SADS) and halogen lighting. PARTICIPANTS AND SETTING: This quality improvement project was conducted on 3 units at a large university teaching hospital in Southeast Michigan. The project was originally designed so that participating patients were identified by bedside nurses as having sufficient melanin to obscure blanching on the hand/forearm using regular lighting, but this goal was not met. Data analysis is based on patients who self-identified as African American or Black, Native Hawaiian or Pacific Islander, Asian, American Indian, and Native Alaskan. Bedside nurses participating in this project were also asked to complete a questionnaire describing their knowledge and experiences with this project and assessment of early-stage PI in patients with darker skin tones. APPROACH: The Iowa Model of Evidence-Based Practice was used to guide this quality improvement initiative. Following a trigger event, we reviewed pertinent literature and developed an enhanced technique for assessing patients with darker skin tones that involved use of halogen lighting (SADS) and documentation of findings. We selected units from our facility and taught nurses to apply the SADS approach. Data from the electronic medical record and a survey of participating nurses were used to compare findings before and after project implementation. Comparisons were based on descriptive data analysis. OUTCOMES: Following implementation of the enhanced physical assessment, the participating units experienced a 6% decrease in the total number of facility-acquired PIs during the implementation period. IMPLICATIONS FOR PRACTICE: The enhanced physical assessment, when paired with halogen lighting, enhanced identification of stage 1 PI in persons with dark skin. The assessment method was easy to teach, learn, and can be performed at the bedside as part of a shift assessment which routinely includes inspection of skin.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study.

OBJECTIVE: The objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients with a greater burden of SDOH that could lead to a higher risk of readmission. DESIGN: A retrospective study of inpatients at five hospitals within Henry Ford Health (HFH) in Detroit, Michigan from November 2015 to December 2018 was conducted. SETTING: This study used an adult inpatient registry created based on HFH electronic health record data as the data source. A subset of the data elements in the registry was collected for data analyses that included readmission index, race-ethnicity, six SDOH variables and demographics and clinical-related variables. PARTICIPANTS: The cohort was composed of 248 810 admission patient encounters with 156 353 unique adult patients between the study time period. Encounters were excluded if they did not qualify as an index admission for all payors based on the Centers for Medicare and Medicaid Service definition. MAIN OUTCOME MEASURE: The primary outcome was 30-day all-cause readmission. This binary index was identified based on HFH internal data supplemented by external validated readmission data from the Michigan Health Information Network. RESULTS: Race-ethnicity and all SDOH were significantly associated with readmission. The effect of depression on readmission was dependent on race-ethnicity, with Hispanic patients having the strongest effect in comparison to either African Americans or non-Hispanic whites. Spatial analysis identified ZIP codes in the City of Detroit, Michigan, as over-represented for individuals with multiple SDOH. CONCLUSIONS: There is a complex relationship between SDOH and race-ethnicity that must be taken into consideration when providing healthcare services. Insights from this study, which pinpoint the most vulnerable patients, could be leveraged to further improve existing models to predict risk of 30-day readmission for individuals in future work.

Establishing Silphids in the invertebrate DNA toolbox: a proof of concept.

Environmental DNA (eDNA) analyses are an increasingly popular tool for assessing biodiversity. eDNA sampling that uses invertebrates, or invertebrate DNA (iDNA), has become a more common method in mammal biodiversity studies where biodiversity is assessed via diet analysis of different coprophagous or hematophagous invertebrates. The carrion feeding family of beetles (Silphidae: Coleoptera, Latreille (1807)), have not yet been established as a viable iDNA source in primary scientific literature, yet could be useful indicators for tracking biodiversity in forested ecosystems. Silphids find carcasses of varying size for both food and reproduction, with some species having host preference for small mammals; therefore, iDNA Silphid studies could potentially target small mammal communities. To establish the first valid use of iDNA methods to detect Silphid diets, we conducted a study with the objective of testing the validity of iDNA methods applied to Silphids using both Sanger sequencing and high throughput Illumina sequencing. Beetles were collected using inexpensive pitfall traps in Alberta, Michigan in 2019 and 2022. We successfully sequenced diet DNA and environmental DNA from externally swabbed Silphid samples and diet DNA from gut dissections, confirming their potential as an iDNA tool in mammalian studies. Our results demonstrate the usefulness of Silphids for iDNA research where we detected species from the genera Anaxyrus, Blarina, Procyon, Condylura, Peromyscus, Canis, and Bos. Our results highlight the potential for Silphid iDNA to be used in future wildlife surveys.

Wastewater Surveillance to Confirm Differences in Influenza A Infection between Michigan, USA, and Ontario, Canada, September 2022-March 2023.

Wastewater surveillance is an effective way to track the prevalence of infectious agents within a community and, potentially, the spread of pathogens between jurisdictions. We conducted a retrospective wastewater surveillance study of the 2022-23 influenza season in 2 communities, Detroit, Michigan, USA, and Windsor-Essex, Ontario, Canada, that form North America's largest cross-border conurbation. We observed a positive relationship between influenza-related hospitalizations and the influenza A virus (IAV) wastewater signal in Windsor-Essex (ρ = 0.785; p<0.001) and an association between influenza-related hospitalizations in Michigan and the IAV wastewater signal for Detroit (ρ = 0.769; p<0.001). Time-lagged cross correlation and qualitative examination of wastewater signal in the monitored sewersheds showed the peak of the IAV season in Detroit was delayed behind Windsor-Essex by 3 weeks. Wastewater surveillance for IAV reflects regional differences in infection dynamics which may be influenced by many factors, including the timing of vaccine administration between jurisdictions.

Surgeon Skill and Perioperative Outcomes in Robot-Assisted Partial Nephrectomy.

Importance: Technical skill in complex surgical procedures may affect clinical outcomes, and there is growing interest in understanding the clinical implications of surgeon proficiency levels. Objectives: To determine whether surgeon scores representing technical skills of robot-assisted kidney surgery are associated with patient outcomes. Design, Setting, and Participants: This quality improvement study included 10 urological surgeons participating in a surgical collaborative in Michigan from July 2021 to September 2022. Each surgeon submitted up to 7 videos of themselves performing robot-assisted partial nephrectomy. Videos were segmented into 6 key steps, yielding 127 video clips for analysis. Each video clip was deidentified and distributed to at least 3 of the 24 blinded peer surgeons from the collaborative who also perform robot-assisted partial nephrectomy. Reviewers rated technical skill and provided written feedback. Statistical analysis was performed from May 2023 to January 2024. Main Outcomes and Measures: Reviewers scored each video clip using a validated instrument to assess technical skill for partial nephrectomy on a scale of 1 to 5 (higher scores indicating greater skill). For all submitting surgeons, outcomes from a clinical registry were assessed for length of stay (LOS) greater than 3 days, estimated blood loss (EBL) greater than 500 mL, warm ischemia time (WIT) greater than 30 minutes, positive surgical margin (PSM), 30-day emergency department (ED) visits, and 30-day readmission. Results: Among the 27 unique surgeons who participated in this study as reviewers and/or individuals performing the procedures, 3 (11%) were female, and the median age was 47 (IQR, 39-52) years. Risk-adjusted outcomes were associated with scores representing surgeon skills. The overall performance score ranged from 3.5 to 4.7 points with a mean (SD) of 4.1 (0.4) points. Greater skill was correlated with significantly lower rates of LOS greater than 3 days (-6.8% [95% CI, -8.3% to -5.2%]), EBL greater than 500 mL (-2.6% [95% CI, -3.0% to -2.1%]), PSM (-8.2% [95% CI, -9.2% to -7.2%]), ED visits (-3.9% [95% CI, -5.0% to -2.8%]), and readmissions (-5.7% [95% CI, -6.9% to -4.6%]) (P < .001 for all). Higher overall score was also associated with higher partial nephrectomy volume (ß coefficient, 11.4 [95% CI, 10.0-12.7]; P < .001). Conclusions and Relevance: In this quality improvement study on video-based evaluation of robot-assisted partial nephrectomy, higher technical skill was associated with lower rates of adverse clinical outcomes. These findings suggest that video-based evaluation plays a role in assessing surgical skill and can be used in quality improvement initiatives to improve patient care.

Factors Associated with COVID-19 Public Health Workforce Pipeline.

Public health entities nationwide conducted historic hiring to mitigate the COVID-19 pandemic. Post-pandemic recovery has seen recognition and investment in the need for public health infrastructure including workforce. This case study presents a descriptive analysis of COVID-19 case investigators and contact tracers who were part of the COVID-19 workforce in Michigan and associated factors in their ongoing interest in the field. The majority of these respondents have continued their public health career.

Changes in Registered Nurse Employment Plans and Workplace Assessments.

Importance: The US registered nurse (RN) workforce is in flux, with high rates of burnout, intention to leave, and vacancies. Rapid, repeated assessments of the nursing workforce can help hospital executives and policymakers enact effective recruitment and retention strategies. Objective: To identify changes in practicing RNs' employment plans and workplace assessments between the 2022 and 2023 surveys. Design, Setting, and Participants: This survey study compared data collected from the Michigan Nurses' Study at 2 time points: February 22 to March 1, 2022, and May 17 to June 1, 2023. Practicing RNs with an active, unrestricted license in Michigan and a valid individual email address were included. Main Outcome and Measures: The primary outcome was nurses' intention to leave their current position within 1 year. In the 2023 survey, nurses who planned to leave were queried on their next career step and the primary reason for their planned departure. Workplace assessments included questions about abusive or violent workplace events, emotional exhaustion, job satisfaction, the practice environment's delivery of high-quality care, and the clinical setting's safety rating. Regression analysis was used to examine workplace assessments and personal factors associated with planned departures. Results: This study obtained data on 9150 nurses (6495 females [71.0%]) and 7059 nurses (5134 females [72.7%]) responding to the 2022 (response rate, 8.3%) and 2023 (response rate, 7.4%) surveys, respectively. In the 2023 survey, 32.0% (2259) of nurses planned to leave their position, compared with 39.1% (3576) in the 2022 survey. Of these nurses, 957 (41.8%) planned to leave their current employer but remain in nursing, with workloads as the most frequently cited reason (29.4% [672]). Compared with the 2022 cohort, nurses in the 2023 sample reported less workplace abuse or violence (4591 [50.2%] vs 3063 [43.4%]; P < .001), fewer understaffed shifts (4407 [48.2%] vs 2898 [41.0%]; P < .001), and less frequent use of mandatory overtime (1709 [18.7%] vs 824 [11.7%]; P < .001). Factors associated with increased likelihood for planned departures included workplace abuse or violence (odds ratio [OR], 1.39; 95% CI, 1.05-1.82) and higher emotional exhaustion scores (OR, 3.05; 95% CI, 2.38-3.91). Favorable practice environments (OR, 0.37; 95% CI, 0.22-0.62) and excellent clinical setting safety ratings (OR, 0.28; 95% CI, 0.14-0.56) were associated with lower likelihood of planned departure. Conclusions and Relevance: Results of this study showed that nurses reported improved workplace conditions in the 2023 vs the 2022 survey; however, planned departure rates, abusive or violent events, and unsafe conditions remained high, and understaffing remained a primary concern for most nurses. Health system leaders and policymakers should prioritize initiatives that support nurse retention and reduce potential workforce instability.

Carbon storage in rare ecosystems relative to their encroaching forests in western Lower Michigan.

Rising atmospheric carbon dioxide levels are impacting global temperatures, ecological systems, and human societies. Natural carbon sequestration through the conservation of soil and native ecosystems may slow or reduce the amount of CO2 in the atmosphere, and thus slow or mitigate the rate of global warming. Most of the research investigating carbon sequestration in natural systems occurs in forested ecosystems, however rare ecosystems such as coastal plain marshes and wet-mesic sand prairie collectively may serve as significant carbon sinks. Our objectives were to measure and assess the importance of carbon sequestration in three rare ecosystems (oak-pine barrens, coastal plain marsh, and wet-mesic sand prairie) in western Lower Michigan. We measured carbon in standing vegetation, dead organic matter, and soils within each ecosystem and adjacent encroaching forested areas. Driven by tree carbon, total carbon stocks in encroaching areas were greater than in intact rare ecosystems. Soil organic carbon was greater in all intact ecosystems, though only significantly so in coastal plain marsh. Principal components analysis explained 72% of the variation and revealed differences between intact ecosystems and their encroaching areas. Linear models using the ratio of red to green light reflectance successfully predicted SOC in intact coastal plain marsh and wet-mesic sand prairie. Our results infer the importance of these rare ecosystems in sequestering carbon in soils and support the need to establish federal or state management practices for the conservation of these systems.

The Michigan Men's Diabetes Project Randomized Clinical Control Trial: A Pilot/Feasibility Study of a Peer-Led Diabetes Self-Management and Support Intervention for Black Men With Type 2 Diabetes.

Black men are disproportionately affected by type 2 diabetes (T2D) and experience higher diabetes-related complications than non-Hispanic White men. To address the complex barriers in diabetes self-management for Black men, we implemented a 3-month peer-led and empowerment-based Diabetes Self-Management Education (DSME) and Support (DSMS) intervention in Metro Detroit. Twenty-five Black men ≥55 years of age with self-reported T2D were randomized to the intervention group (n=12)-10 hr of DSME and 9 hr of DSMS-or enhanced usual care (EUC) group (n=13)-10 hr of DSME. Peer leaders (n = 3) were trained by certified diabetes care and education specialists (CDCESs) to cofacilitate the support sessions. Outcomes (hemoglobin A1c [HbA1c], diabetes self-care activities, and diabetes distress) were assessed preintervention and postintervention. In the intervention and EUC groups, mean HbA1c decreased by 0.20% (p = .52, SD = 0.99) and 0.13% (p = .68), respectively. General diet (p = .03, M change: 1.32, SD = 1.71) and blood glucose monitoring (p < .05, M change: 0.50, SD = 0.74) scores improved among those in the intervention group. General diet scores also improved in the EUC group: mean change: 1.77, p = .08, although changes were not statistically significant. Changes in diabetes distress scores differed based on the number of sessions attended, with a significant decrease in those attending 7 to 12 sessions (n = 7), >50%, (p = .003, M change: -5.71, SD = 3.20). Implementing a peer-led DSMS program for Black men was feasible, adopted, and led to positive changes in outcomes. Scaling up the intervention and assessing sustainability is warranted.

Perfusion Measures and Outcomes (PERForm) registry: First annual report.

BACKGROUND: The Perfusion Measures and Outcomes (PERForm) registry was established in 2010 to advance cardiopulmonary bypass (CPB) practices and outcomes. The registry is maintained through the Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative and is the official registry of the American Society of Extracorporeal Technology. METHODS: This first annual PERForm registry report summarizes patient characteristics as well as CPB-related practice patterns in adult (≥18 years of age) patients between 2019 and 2022 from 42 participating hospitals. Data from PERForm are probabilistically matched to institutional surgical registry data. Trends in myocardial protection, glucose, anticoagulation, temperature, anemia (hematocrit), and fluid management are summarized. Additionally, trends in equipment (hardware/disposables) utilization and employed patient safety practices are reported. RESULTS: A total of 40,777 adult patients undergoing CPB were matched to institutional surgical registry data from 42 hospitals. Among these patients, 54.9% underwent a CABG procedure, 71.6% were male, and the median (IQR) age was 66.0 [58.0, 73.0] years. Overall, 33.1% of the CPB procedures utilized a roller pump for the arterial pump device, and a perfusion checklist was employed 99.6% of the time. The use of conventional ultrafiltration decreased over the study period (2019 vs. 2022; 27.1% vs. 24.9%) while the median (IQR) last hematocrit on CPB has remained stable [27.0 (24.0, 30.0) vs. 27.0 (24.0, 30.0)]. Pump sucker termination before protamine administration increased over the study period: (54.8% vs. 75.9%). CONCLUSION: Few robust clinical registries exist to collect data regarding the practice of CPB. Although data submitted to the PERForm registry demonstrate overall compliance with published perfusion evidence-based guidelines, noted opportunities to advance patient safety and outcomes remain.

Comparative analyses of SARS-CoV-2 RNA concentrations in Detroit wastewater quantified with CDC N1, N2, and SC2 assays reveal optimal target for predicting COVID-19 cases.

To monitor COVID-19 through wastewater surveillance, global researchers dedicated significant endeavors and resources to develop and implement diverse RT-qPCR or RT-ddPCR assays targeting different genes of SARS-CoV-2. Effective wastewater surveillance hinges on the appropriate selection of the most suitable assay, especially for resource-constrained regions where scant technical and socioeconomic resources restrict the options for testing with multiple assays. Further research is imperative to evaluate the existing assays through comprehensive comparative analyses. Such analyses are crucial for health agencies and wastewater surveillance practitioners in the selection of appropriate methods for monitoring COVID-19. In this study, untreated wastewater samples were collected weekly from the Detroit wastewater treatment plant, Michigan, USA, between January and December 2023. Polyethylene glycol precipitation (PEG) was applied to concentrate the samples followed by RNA extraction and RT-ddPCR. Three assays including N1, N2 (US CDC Real-Time Reverse Transcription PCR Panel for Detection of SARS-CoV-2), and SC2 assay (US CDC Influenza SARS-CoV-2 Multiplex Assay) were implemented to detect SARS-CoV-2 in wastewater. The limit of blank and limit of detection for the three assays were experimentally determined. SARS-CoV-2 RNA concentrations were evaluated and compared through three statistical approaches, including Pearson and Spearman's rank correlations, Dynamic Time Warping, and vector autoregressive models. N1 and N2 demonstrated the highest correlation and most similar time series patterns. Conversely, N2 and SC2 assay demonstrated the lowest correlation and least similar time series patterns. N2 was identified as the optimal target to predict COVID-19 cases. This study presents a rigorous effort in evaluating and comparing SARS-CoV-2 RNA concentrations quantified with N1, N2, and SC2 assays and their interrelations and correlations with clinical cases. This study provides valuable insights into identifying the optimal target for monitoring COVID-19 through wastewater surveillance.

Maternal Body Mass Index Associates with Prenatal Characteristics and Fecal Microbial Communities.

The maternal microbiome plays a vital role in shaping pregnancy outcomes, but there remains a substantial gap in understanding its precise relationships to maternal health, particularly in relation to potential effects of body mass index (BMI) on gut microbial diversity. The aim of this observational study was to assess maternal characteristics in association with pre-pregnancy BMI and to further assess microbial diversity in association with specific maternal characteristics. Eighty-four pregnant women were recruited during their third trimester of pregnancy from various prenatal clinics across the state of Michigan. The participants completed an enrollment questionnaire including self-reported pre-pregnancy BMI; stool samples were collected to assess the fecal microbial community composition. Pre-pregnancy obesity (BMI 30+) was associated (univariably) with antibiotic use before pregnancy, ever smoked, lower education level, and being unmarried. The gut microbiota alpha diversity was significantly different for pregnant women by pre-pregnancy BMI category (normal, overweight, obese). The beta diversity was unique for the gut microbiotas of pregnant women within each BMI category, by education level, and by marital status. Multivariable models revealed that pre-pregnancy BMI, maternal education, marital status, and maternal age were associated with the microbial diversity of the gut microbiota during pregnancy. These results give new insight into the relationship between a woman's microbiome during pregnancy and their prenatal health, along with an understanding of the relationships between socioeconomic factors and microbial diversity.

A feasibility study to assess the recruitment and retention of pregnant patients who regularly use cannabis.

OBJECTIVE: To assess first-trimester recruitment and retention of pregnant patients who regularly used cannabis, but not other substances, measured by willingness to participate in a research study, completion of self-administered electronic questionnaires, and willingness to provide urine samples during each trimester of pregnancy. We designed and launched a prospective feasibility study titled, Cannabis Legalization in Michigan (CALM) - Maternal & Infant Health (MIH), in two Michigan clinics after the recreational use of cannabis became legal for adults 21 years and older. RESULTS: Over half (52%) of patients asked to participate in CALM-MIH were consented to the study. Two-thirds (66%) of screened patients initiated prenatal care during their first trimester of pregnancy and 50% used cannabis, of which the majority did not concurrently use other substances. Of those recruited into the prospective study, all participants completed the first-trimester questionnaire and provided urine samples. Study retention was 80% and all participants who completed follow-up assessments were willing to provide urine samples.

Engagement in mHealth-Prompted Self-Measured Blood Pressure Monitoring Among Participants Recruited From a Safety-Net Emergency Department: Secondary Analysis of the Reach Out Trial.

Background: Hypertension, a key modifiable risk factor for cardiovascular disease, is more prevalent among Black and low-income individuals. To address this health disparity, leveraging safety-net emergency departments for scalable mobile health (mHealth) interventions, specifically using text messaging for self-measured blood pressure (SMBP) monitoring, presents a promising strategy. This study investigates patterns of engagement, associated factors, and the impact of engagement on lowering blood pressure (BP) in an underserved population. Objective: We aimed to identify patterns of engagement with prompted SMBP monitoring with feedback, factors associated with engagement, and the association of engagement with lowered BP. Methods: This is a secondary analysis of data from Reach Out, an mHealth, factorial trial among 488 hypertensive patients recruited from a safety-net emergency department in Flint, Michigan. Reach Out participants were randomized to weekly or daily text message prompts to measure their BP and text in their responses. Engagement was defined as a BP response to the prompt. The k-means clustering algorithm and visualization were used to determine the pattern of SMBP engagement by SMBP prompt frequency-weekly or daily. BP was remotely measured at 12 months. For each prompt frequency group, logistic regression models were used to assess the univariate association of demographics, access to care, and comorbidities with high engagement. We then used linear mixed-effects models to explore the association between engagement and systolic BP at 12 months, estimated using average marginal effects. Results: For both SMBP prompt groups, the optimal number of engagement clusters was 2, which we defined as high and low engagement. Of the 241 weekly participants, 189 (78.4%) were low (response rate: mean 20%, SD 23.4) engagers, and 52 (21.6%) were high (response rate: mean 86%, SD 14.7) engagers. Of the 247 daily participants, 221 (89.5%) were low engagers (response rate: mean 9%, SD 12.2), and 26 (10.5%) were high (response rate: mean 67%, SD 8.7) engagers. Among weekly participants, those who were older (>65 years of age), attended some college (vs no college), married or lived with someone, had Medicare (vs Medicaid), were under the care of a primary care doctor, and took antihypertensive medication in the last 6 months had higher odds of high engagement. Participants who lacked transportation to appointments had lower odds of high engagement. In both prompt frequency groups, participants who were high engagers had a greater decline in BP compared to low engagers. Conclusions: Participants randomized to weekly SMBP monitoring prompts responded more frequently overall and were more likely to be classed as high engagers compared to participants who received daily prompts. High engagement was associated with a larger decrease in BP. New strategies to encourage engagement are needed for participants with lower access to care.

Cervical cancer screening and vaccination acceptability and attitudes among Arab American women in Southeastern Michigan: a qualitative study.

Among Arab-American women in Michigan, rates of cervical cancer screening are lower than those in non-Hispanic White and Black women in the state. A deep understanding of the Arab community's perspective on cervical cancer screening is needed to address the disparity in rates across populations in Michigan. Arab and Chaldean women across Michigan were invited to participate in Zoom-based focus groups to understand the attitudes, acceptability, and barriers of cervical cancer screening among this population. Four focus groups with a total of 19 women aged 30 to 61 were conducted. The focus groups were conducted in English, Arabic, or both languages. The guided discussion was focused on knowledge of cervical cancer and Human papillomavirus (HPV) and its transmission, attitudes towards HPV vaccination, and attitudes towards cervical cancer screening. HPV self-sampling as an alternative to traditional provider-based screening was specifically discussed as this has been proposed as a way to increase screening in hard-to-reach populations. The conversations revealed insights related to barriers at the individual and community levels for screening and vaccination, attitudes towards preventive health care including screening, a need for accessible women's health literature, and health education. The women also discussed vaccine hesitancy related to HPV and COVID-19, suggesting a need for targeted community interventions.

Variation in Risk-Adjusted Ventilator-Associated Pneumonia Days Within a Quality Collaborative.

INTRODUCTION: Ventilator-associated pneumonia (VAP) is associated with increased mortality, prolonged mechanical ventilation, and longer intensive care unit stays. The rate of VAP (VAPs per 1000 ventilator days) within a hospital is an important quality metric. Despite adoption of preventative strategies, rates of VAP in injured patients remain high in trauma centers. Here, we report variation in risk-adjusted VAP rates within a statewide quality collaborative. METHODS: Using Michigan Trauma Quality Improvement Program data from 35 American College of Surgeons-verified Level I and Level II trauma centers between November 1, 2020 and January 31, 2023, a patient-level Poisson model was created to evaluate the risk-adjusted rate of VAP across institutions given the number of ventilator days, adjusting for injury severity, physiologic parameters, and comorbid conditions. Patient-level model results were summed to create center-level estimates. We performed observed-to-expected adjustments to calculate each center's risk-adjusted VAP days and flagged outliers as hospitals whose confidence intervals lay above or below the overall mean. RESULTS: We identified 538 VAP occurrences among a total of 33,038 ventilator days within the collaborative, with an overall mean of 16.3 VAPs per 1000 ventilator days. We found wide variation in risk-adjusted rates of VAP, ranging from 0 (0-8.9) to 33.0 (14.4-65.1) VAPs per 1000 d. Several hospitals were identified as high or low outliers. CONCLUSIONS: There exists significant variation in the rate of VAP among trauma centers. Investigation of practices and factors influencing the differences between low and high outlier institutions may yield information to reduce variation and improve outcomes.

COVID-19 Stress and Cognitive Disparities in Black, MENA, and White Older Adults.

BACKGROUND AND OBJECTIVES: Population aging has led to an increased interest in cognitive health and, in particular, the role that stress plays in cognitive disparities. This paper extends previous work by characterizing coronavirus disease 2019 (COVID-19) stress type prevalence and its association with cognitive health in metro-Detroit among Black, Middle Eastern/Arab (MENA), and White older adults. RESEARCH DESIGN AND METHODS: Data come from a regionally representative sample of adults aged 65+ in metro-Detroit (N = 600; MENA n = 199; Black n = 205; White n = 196). We used generalized linear models to compare groups on sociodemographic, objective stress, and social stress indicators. Multiple group structural equation models evaluated whether COVID-19 stress predicted cognitive health and whether that association varied across racial/ethnic groups. RESULTS: MENA and Black older adults reported higher levels of objective stress than Whites. There were no racial/ethnic group differences in social stress. More objective stress was associated with better cognitive health, and more social stress was associated with worse cognitive health. The positive effect of objective stress was especially apparent for White older adults. DISCUSSION AND IMPLICATIONS: Though it appears that minority stress was not exacerbated in the context of pandemic stress, links between greater objective stress and better cognitive health apparent among White older adults were not evident among MENA or Black older adults. Broadening health disparities research by including underrepresented populations allows us to elevate scientific knowledge by clarifying what is universal and what is unique about the stress process.

Needs and Challenges for Volunteering in Rural Areas: Lessons Learned From a Survey of a Service Organization in Rural Michigan.

BACKGROUND AND OBJECTIVES: Volunteers are the foundation of social service agencies in rural communities, yet limited research exists on their needs and challenges. Motivated by the multidimensional older voluntarism sustainability framework, this study aims to understand (1) the characteristics of volunteers, (2) the relationships between volunteers' sense of community and their own aging and volunteer retention, and (3) the unique challenges faced by volunteers and volunteer-based agencies. RESEARCH DESIGN AND METHODS: This study uses a mixed-methods design. Data were gathered via telephone interviews (n = 76) and in-person focus groups (n = 14) from the volunteer pool of a nonprofit organization in rural Michigan. Descriptive and regression analyses were conducted to understand the characteristics of the volunteers. Thematic analysis was conducted to identify unique challenges faced by rural agencies and volunteers. RESULTS: Findings show that most volunteers were over 70, women, married, volunteered weekly or more, and were affiliated with multiple agencies. Volunteers with a stronger attachment to the community and higher self-perceptions of aging were likelier to continue and increase volunteering commitments. Due to the low population density in rural areas, volunteers were concerned about the heavy burden of volunteering, the lack of social connections with fellow volunteers, and the lack of active involvement in shaping the organization. DISCUSSION AND IMPLICATIONS: Results from the study shed light on the urgent need for creative and engaging volunteer recruitment and retention strategies to sustain older adults, service agencies, and communities in rural areas.

SARS-CoV-2 wastewater surveillance at two university campuses: lessons learned and insights on intervention strategies for public health guidance.

Wastewater surveillance has been a tool for public health officials throughout the COVID-19 pandemic. Universities established pandemic response committees to facilitate safe learning for students, faculty, and staff. These committees met to analyze both wastewater and clinical data to propose mitigation strategies to limit the spread of COVID-19. This paper reviews the initial efforts of utilizing campus data inclusive of wastewater surveillance for SARS-CoV-2 RNA concentrations, clinical case data from university response teams, and mitigation strategies from Grand Valley State University in West Michigan (population 21,648 students) and Oakland University in East Michigan (population 18,552 students) from November 2020 to April 2022. Wastewater positivity rates for both universities ranged from 32.8 to 46.8%. Peak viral signals for both universities directly corresponded to variant points of entry within the campus populations from 2021 to 2022. It was found that the organization of clinical case data and variability of wastewater testing data were large barriers for both universities to effectively understand disease dynamics within the university population. We review the initial efforts of onboarding wastewater surveillance and provide direction for structuring ongoing surveillance workflows and future epidemic response strategies based on those that led to reduced viral signals in campus wastewater.