Beyond Hospital-Level Aggregated Data: A Methodology to Adapt Clinical Data From the Electronic Health Record for Nursing Unit-Level Research.

BACKGROUND: Studies of nurse staffing frequently use data aggregated at the hospital level that do not provide the appropriate context to inform unit-level decisions, such as nurse staffing. OBJECTIVES: Describe a method to link patient data collected during the provision of routine care and recorded in the electronic health record (EHR) to the nursing units where care occurred in a national dataset. RESEARCH DESIGN: We identified all Veterans Health Administration acute care hospitalizations in the calendar year 2019 nationwide. We linked patient-level EHR and bar code medication administration data to nursing units using a crosswalk. We divided hospitalizations into segments based on the patient's time-stamped location (ward stays). We calculated the number of ward stays and medication administrations linked to a nursing unit and the unit-level and facility-level mean patient risk scores. RESULTS: We extracted data on 1117 nursing units, 3782 EHR patient locations associated with 1,137,391 ward stays, and 67,772 bar code medication administration locations associated with 147,686,996 medication administrations across 125 Veterans Health Administration facilities. We linked 89.46% of ward stays and 93.10% of medication administrations to a nursing unit. The average (standard deviation) unit-level patient severity across all facilities is 4.71 (1.52), versus 4.53 (0.88) at the facility level. CONCLUSIONS: Identification of units is indispensable for using EHR data to understand unit-level phenomena in nursing research and can provide the context-specific information needed by managers making frontline decisions about staffing.

Consumption responses to sweetened beverage taxes by household income in four U.S. cities.

Taxes on sweetened beverages have become an important policy response to growing obesity rates and the prevalence of type 2 diabetes in the U.S. and other nations. Since 2015, eight U.S. cities have implemented these taxes, but so far direct evidence of their impacts on household purchasing behavior is scarce. Of particular interest to many researchers and policy makers is the response of lower-income consumers to these taxes, both because they have higher sweetened beverage consumption on average and because of concerns that sweetened beverage taxes are regressive. This project investigates the income-stratified household response to SSB taxes using a data set containing the purchasing behavior of approximately 400 households in the cities of Seattle, San Francisco, Oakland, and Philadelphia, all of which have recently introduced beverage taxes. Using doubly-robust estimation of dynamic and heterogeneous treatment effects relative to a propensity-matched set of households in three comparison cities, we find that households in taxed cities experience increased prices and reduce their purchases of those beverages, with no evidence of cross-border shopping. We further find differential tax impacts by income level, with lower-income households (households with income <200% of the federal poverty line for their size) reducing their purchases of taxed beverages by nearly 50% - more than double the 18% reduction found in higher-income households (households with income >400% of the federal poverty line for their size). Our finding that lower-income households decrease their consumption more than twice as much as higher-income households suggests that these taxes may reduce health disparities and promote population health.

Estimating the Relationship Between Nurse Staffing and Medication Pass Workload Using National Barcode Data.

BACKGROUND: Measuring and assessing the relationship between inpatient nurse staffing and workload across a national health system is difficult due to challenges in systematically observing inpatient workload at the unit level. OBJECTIVE: The objective of this study was to apply a novel measure of inpatient nurse workload to estimate the relationship between inpatient nurse staffing and nurse workload at the unit level during a key nursing activity: the peak-time medication pass. METHODS: A retrospective observational study was conducted in the Veterans Health Administration, the largest employer of nurses in the U.S. The sample included all patients (n= 1,578,399 patient days) admitted to 311 non-intensive care unit inpatient acute care units in 112 hospitals in 2019 (104,588 unit days). Staffing was measured as the unit-level, nurse-to-patient ratio, and workload was measured using average time (duration) for RNs to complete the peak-time medication pass. RESULTS: We found a negative relationship between the RN-to-patient ratio and average peak time medication pass duration after adjusting for unit-level patient volume and average patient severity of illness and other unit-level factors. This relationship was non-linear: the marginal effect of staffing on workload decreased as staffing increased. DISCUSSION: As unit-level nurse staffing increased, average RN workload decreased. This result suggests that interventions to improve nurse staffing may have larger non-linear effects for units with lower staffing levels. Understanding the effect of differing staffing decisions on variations in nursing workload is critical for adopting models of care that effectively use scarce staffing resources and contribute to retaining nurses in the inpatient workforce. This work provides evidence that peak time medication pass duration is a valid process-based measure of workload and highlights the potential diminishing returns to increasing staffing.

Nurse Leader Perceptions of Data in the Veterans Health Administration: A Qualitative Evaluation.

Healthcare systems and nursing leaders aim to make evidence-based nurse staffing decisions. Understanding how nurses use and perceive available data to support safe staffing can strengthen learning healthcare systems and support evidence-based practice, particularly given emerging data availability and specific nursing challenges in data usability. However, current literature offers sparse insight into the nature of data use and challenges in the inpatient nurse staffing management context. We aimed to investigate how nurse leaders experience using data to guide their inpatient staffing management decisions in the Veterans Health Administration, the largest integrated healthcare system in the United States. We conducted semistructured interviews with 27 Veterans Health Administration nurse leaders across five management levels, using a constant comparative approach for analysis. Participants primarily reported using data for quality improvement, organizational learning, and organizational monitoring and support. Challenges included data fragmentation, unavailability and unsuitability to user need, lack of knowledge about available data, and untimely reporting. Our findings suggest that prioritizing end-user experience and needs is necessary to better govern evidence-based data tools for improving nursing care. Continuous nurse leader involvement in data governance is integral to ensuring high-quality data for end-user nurses to guide their decisions impacting patient care.

Nurse-led pre-test counseling for Alzheimer's disease biomarker testing: Knowledge and skills required to meet the needs of patients and families.

INTRODUCTION: Biomarker testing for Alzheimer's disease and related disorders (ADRD) brings new opportunities for nurses to foster shared decision-making by leading pre-test counseling (PTC) for patients and families. METHODS: Audio-recordings of 18 nurse-led PTC sessions were analyzed to characterize questions posed by patient and family members dyads considering whether to pursue amyloid positron emission tomography. RESULTS: Sessions lasted 20 to 75 minutes and generated rich discussion of the purpose and potential implications of amyloid imaging. Dyads posed questions regarding: basic neuroanatomy; the spectrum of normal cognitive aging to dementia; clinical phenotypes and pathological hallmarks of ADRD; secondary prevention of ADRD; and advance planning. In response, PTC facilitators provided disease-specific education, clarification of overt misconceptions, caregiver support, and emotion de-escalation. CONCLUSION: Nurses conducting PTC for AD biomarker testing should be equipped to answer questions about topics both directly and indirectly related to testing, and also provide emotional support.

Perceptions of Research Burden and Retention Among Participants in ADRC Cohorts.

OBJECTIVES: Alzheimer disease (AD) and related dementias clinical research is associated with significant participant burden. The Perceived Research Burden Assessment (PeRBA) measures participants' perceptions of logistical, psychological, and physical burdens. The purpose of this study was to assess PeRBA's psychometric properties, perceptual sources, and behavioral consequences with participants in a multisite study of participant retention in longitudinal cohort studies of Alzheimer disease and related dementias. DESIGN: Multicenter mixed methods. SETTING: In-person or phone. PARTICIPANTS: A total of 443 participants at 4 NIA-funded Alzheimer Disease Research Centers (ADRCs) were randomly selected and invited to participate if they were 45 years of age or more, enrolled in longitudinal studies, and had a Clinical Dementia Rating Scale global score ≤1. MEASUREMENTS: Participants completed a 20-minute survey including the 21-item PeRBA about their research participation. RESULTS: PeRBA demonstrated high-internal consistency and convergent validity. PeRBA scores correlated with expected perceptual factors. Higher PeRBA scores were associated with lower attendance and higher dropout rates. CONCLUSIONS: PeRBA can be used by researchers to identify participants who may feel overburdened and tailor approaches and strategies to support participants in longitudinal AD studies, maximizing participation, and reducing dropout. Making efforts to increase participants' understanding of study procedures, and building and maintaining trust throughout the study, can contribute to reducing perceived burden and potentially increasing retention in longitudinal AD studies.

The Availability and Price of Healthy Food in Seattle by Neighborhood Sociodemographic Characteristics.

INTRODUCTION: Unequal access to healthy food in the local food retail environment contributes to diet quality disparities. We assessed whether in-store availability and prices of healthy foods differ by neighborhood-level income and racial and ethnic composition in a representative sample of food stores in Seattle, Washington. METHODS: We developed and validated an in-store survey tool and surveyed 134 stores. We measured availability and prices of 19 items. For each store, we calculated a healthy food availability score (range, 0-25), and mean prices within each category. Using census tract data, we identified the median household income and proportions of Black and Hispanic residents for each store's neighborhood and grouped them by tertiles of these neighborhood characteristics across Seattle census tracts. We used Wald tests to compare mean availability scores and prices between tertiles and applied postestimation weights to reflect store-type distributions within each tertile. RESULTS: Neighborhoods with lower income and a larger proportion of Black residents had lower healthy food availability scores compared with neighborhoods with higher income (8.06 [95% CI, 7.04-9.07] vs 12.40 [95% CI, 10.63-14.17], P < .001) and fewer Black residents (8.88 [95% CI, 7.79-9.98] vs 12.32 [95% CI, 10.51-14.14], P = .003). Availability did not differ by Hispanic population proportions. Mean prices of grains, eggs, and meat were lower in neighborhoods with larger proportions of Black residents. CONCLUSION: We found systematic differences in healthy food availability based on neighborhood-level income and racial composition. In-store assessments of the food retail environment can inform local, tailored strategies to improve healthy food access.

Sweetened beverage taxes: Economic benefits and costs according to household income.

Taxing sweetened beverages has emerged as an important and effective policy for addressing their overconsumption. However, taxes may place a greater economic burden on people with lower incomes. We assess the degree to which sweetened beverage taxes in three large US cities placed an inequitable burden on populations with lower incomes by assessing spending on beverage taxes by income after taxes have been implemented, as well as any net transfer of funds towards lower income populations once allocation of tax revenue is considered. We find that while lower income populations pay a higher percentage of their income in beverage taxes, there is no difference in absolute spending on beverage taxes per capita, and that there is a sizable net transfer of funds towards programs targeting lower income populations. Thus, when considering both population-level taxes paid and sufficiently targeted allocations of tax revenues, a sweetened beverage tax may have characteristics of an equitable public policy.

An Alternative Method of Public Reporting of Comparative Hospital Quality and Performance Data for Transparency Initiatives.

BACKGROUND: Hospital performance comparisons for transparency initiatives may be inadequate if peer comparison groups are poorly defined. OBJECTIVE: The objective of this study was to evaluate a new approach identifying hospital peers for comparison. DESIGN/SETTING: We used Mahalanobis distance as a new method of developing peer-specific groupings for hospitals to incorporate both external and internal complexity. We compared the overlap in groups with an existing method used by the Veterans' Health Administration's Office for Productivity, Efficiency, and Staffing (OPES). PARTICIPANTS: One hundred twenty-two acute-care Veterans' Health Administration's Medical Facilities as defined in the OPES fiscal year 2014 report. MEASURES: Using 15 variables in 9 categories developed from expert input, including both hospital internal measures and community-based external measures, we used principal components analysis and calculated Mahalanobis distance between each hospital pair. This method accounts for correlation between variables and allows for variables having different variances. We identified the 50 closest hospitals, then eliminated any potential peer whose score on the first component was >1 SD from the reference hospital. We compared overlap with OPES measures. RESULTS: Of 15 variables, 12 have SDs exceeding 25% of their means. The first 2 components of our analysis explain 24.8% and 18.5% of variation among hospitals. Eight of 9 variables scaling positively on the first component measure internal complexity, aligning with OPES groups. Four of 5 variables scaling positively on the second component but not the first are factors from the policy environment; this component reflects a dimension not considered in OPES groups. CONCLUSION: Individualized peers that incorporate external complexity generate more nuanced comparators to evaluate quality.

A randomized controlled trial of amyloid positron emission tomography results disclosure in mild cognitive impairment.

INTRODUCTION: Recent studies suggest that Alzheimer's disease (AD) biomarker disclosure has no discernable psychological impact on cognitively healthy persons. Far less is known about how such results affect symptomatic individuals and their caregivers. METHODS: Randomized controlled trial of 82 mild cognitive impairment (MCI) patient and caregiver dyads (total n = 164) to determine the effect of receiving amyloid positron emission tomography results on understanding of, and perceived efficacy to cope with, MCI over 52 weeks of follow-up. RESULTS: Gains in the primary outcomes were not consistently observed. Amyloid negative patients reported greater perceived ambiguity regarding MCI at follow-up, while moderate and sustained emotional distress was observed in patients, and to a lesser extent, caregivers, of those who were amyloid positive. There was no corresponding increase in depressive symptoms. DISCUSSION: These findings point to the possibility that both MCI patients and caregivers may need emotional support after the disclosure of amyloid scan results.

Perceptions of the possible health and economic impacts of Seattle's sugary beverage tax.

BACKGROUND: Taxes on sugary beverages are an emerging strategy to improve health by reducing consumption and raising revenues to support community wellbeing. However, taxes may have unintended consequences, and perceptions of these consequences may affect attitudes towards this policy. METHODS: In June 2017, the Seattle City Council passed an ordinance imposing a tax on sugary beverages, effective January 1, 2018. Between October and December 2017, we recruited 851 adults in Seattle to complete a survey (telephone or online) about support for the tax and their perceptions of tax-related health and economic impacts. We first analyzed data for the full sample. We then tested for differences in participants' responses by household income level (< 260% Federal Poverty Level [FPL], ≥ 260% FPL) and across race/ethnicities using chi-square tests. Analyses used population weights and adjusted for multiple comparisons, using the Holm-Bonferroni Sequential Correction (p < 0.01). RESULTS: A majority of participants supported the sugary beverage tax (59%; 95% Confidence Interval [CI]: 55, 63%) and believed that the tax would improve public health (56%; CI: 52, 60%). Most participants believed that the tax would not negatively affect small businesses (52%; CI: 48, 56%) nor result in job loss (66%; CI: 62, 70%). Most participants also perceived that the tax would not negatively impact their own finances (79%; CI: 75, 82%). However, fewer lower-income (48%; CI: 42, 53%), versus higher-income participants (61%; CI: 55, 66%), perceived that the tax would improve public health, would not result in job loss (lower-income: 58%; CI: 53, 64%; higher-income: 71%; CI: 66, 75%) and would not negatively affect their own finances (lower-income: 68%; CI: 62, 73%; higher-income: 85%; CI: 81, 88%). Compared to non-Hispanic Whites, (82%; CI: 79, 86%), a smaller proportion of non-Hispanic Blacks (63%; 95% CI: 48, 75%), and Hispanics (67%; 95% CI: 51, 79%), perceived that the tax would have negative consequences for their own family finances. CONCLUSIONS: A majority of respondents supported the sugary beverage tax in Seattle. Lower-income participants were more concerned about potential financial consequences. Further evaluation of the extent to which unintended consequences occur is needed.

An intervention to maximize medication management by caregivers of persons with memory loss: Intervention overview and two-month outcomes.

Overseeing medication-taking is a critical aspect of dementia caregiving. This trial examined a tailored, problem-solving intervention designed to maximize medication management practices among caregivers of persons with memory loss. Eighty-three community-dwelling dyads (patient + informal caregiver) with a baseline average of 3 medication deficiencies participated. Home- and telephone-based sessions were delivered by nurse or social worker interventionists and addressed basics of managing medications, plus tailored problem solving for specific challenges. The outcome of medication management practices was assessed using the Medication Management Instrument for Deficiencies in the Elderly (MedMaIDE) and an investigator-developed Medication Deficiency Checklist (MDC). Linear mixed modeling showed both the intervention and usual care groups had fewer medication management problems as measured by the MedMaIDE (F = 6.91, p < .01) and MDC (F = 9.72, p < .01) at 2 months post-intervention. Reduced medication deficiencies in both groups suggests that when nurses or social workers merely raise awareness of the importance of medication adherence, there may be benefit.

Examining clinical performance feedback in Patient-Aligned Care Teams.

BACKGROUND: The move to team-based models of health care represents a fundamental shift in healthcare delivery, including major changes in the roles and relationships among clinical personnel. Audit and feedback of clinical performance has traditionally focused on the provider; however, a team-based model of care may require different approaches. OBJECTIVE: Identify changes in audit and feedback of clinical performance to primary care clinical personnel resulting from implementing team-based care in their clinics. DESIGN: Semi-structured interviews with primary care clinicians, their department heads, and facility leadership at 16 geographically diverse VA Medical Centers, selected purposively by their clinical performance profile. PARTICIPANTS: An average of three interviewees per VA medical center, selected from physicians, nurses, and primary care and facility directors who participated in 1-hour interviews. APPROACH: Interviews focused on how clinical performance information is fed back to clinicians, with particular emphasis on external peer-review program measures and changes in feedback associated with team-based care implementation. Interview transcripts were analyzed, using techniques adapted from grounded theory and content analysis. KEY RESULTS: Ownership of clinical performance still rests largely with the provider, despite transitioning to team-based care. A panel-management information tool emerged as the most prominent change to clinical performance feedback dissemination, and existing feedback tools were seen as most effective when monitored by the nurse members of the team. Facilities reported few, if any, appreciable changes to the assessment of clinical performance since transitioning to team-based care. CONCLUSIONS: Although new tools have been created to support higher-quality clinical performance feedback to primary care teams, such tools have not necessarily delivered feedback consistent with a team-based approach to health care. Audit and feedback of clinical performance has remained largely unchanged, despite material differences in roles and responsibilities of team members. Future research should seek to unpack the nuances of team-based audit and feedback, to better align feedback with strategic clinical goals.

Universal Free School Meals Policy and Childhood Obesity.

BACKGROUND AND OBJECTIVES: The Community Eligibility Provision (CEP), a universal free school meals policy, increases school meal participation by allowing schools in low-income areas to provide free breakfast and lunch to all students; however, its impact on obesity remains uncertain. The objective of this study is to estimate the association of CEP with child obesity. METHODS: School obesity prevalence was calculated using BMI measurements collected annually between 2013 and 2019 from students in California public schools in grades 5, 7, and 9. To estimate the association of CEP with obesity, we used a difference-in-differences approach for staggered policy adoption with an outcome regression model conditional on covariates, weighted by student population size. RESULTS: The analysis included 3531 CEP-eligible schools using school-level obesity prevalence calculated from 3 546 803 BMI measurements. At baseline, on average, 72% of students identified as Hispanic, 11% identified as white, 7% identified as Black, and 80% were eligible for free or reduced-price meals. Baseline obesity prevalence was 25%. Schools that participated in CEP were associated with a 0.60-percentage-point net decrease in obesity prevalence after policy adoption (95% confidence interval: -1.07 to -0.14 percentage points, P = .01) compared with eligible, nonparticipating schools, corresponding with a 2.4% relative reduction, given baseline prevalence. Meals served increased during this period in CEP-participating schools only. CONCLUSIONS: In a balanced sample of California schools, CEP participation was associated with a modest net decrease in obesity prevalence compared with eligible, nonparticipating schools. These findings add to the growing literature revealing potential benefits of universal free school meals for children's well-being.

Sweetened Beverage Tax Implementation and Change in Body Mass Index Among Children in Seattle.

Importance: Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes. Objective: To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children. Design, Setting, and Participants: In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC]). Children were included in the study if they were aged 2 to 18 years (between January 1, 2014, and December 31, 2019); had at least 1 weight measurement every year between 2015 and 2019; lived in Seattle or in urban areas of 3 surrounding counties (King, Pierce, and Snohomish); had not moved between taxed (Seattle) and nontaxed areas; received primary health care from KP or OBCC; did not have a recent history of cancer, bariatric surgery, or pregnancy; and had biologically plausible height and BMI (calculated as weight in kilograms divided by height in meters squared). Data analysis was conducted between August 5, 2022, and March 4, 2024. Exposure: Seattle sweetened beverage tax (1.75 cents per ounce on sweetened beverages), implemented on January 1, 2018. Main Outcomes and Measures: The primary outcome was BMIp95 (BMI expressed as a percentage of the 95th percentile; a newly recommended metric for assessing BMI change) of the reference population for age and sex, using the Centers for Disease Control and Prevention growth charts. In the primary (synthetic difference-in-differences [SDID]) model used, a comparison sample was created by reweighting the comparison sample to optimize on matching to pretax trends in outcome among 6313 children in Seattle. Secondary models were within-person change models using 1 pretax measurement and 1 posttax measurement in 22 779 children and fine stratification weights to balance baseline individual and neighborhood-level confounders. Results: The primary SDID analysis included 6313 children (3041 female [48%] and 3272 male [52%]). More than a third of children (2383 [38%]) were aged 2 to 5 years); their mean (SE) age was 7.7 (0.6) years. With regard to race and ethnicity, 789 children (13%) were Asian, 631 (10%) were Black, 649 (10%) were Hispanic, and 3158 (50%) were White. The primary model results suggested that the Seattle tax was associated with a larger decrease in BMIp95 for children living in Seattle compared with those living in the comparison area (SDID: -0.90 percentage points [95% CI, -1.20 to -0.60]; P < .001). Results from secondary models were similar. Conclusions and Relevance: The findings of this cohort study suggest that the Seattle sweetened beverage tax was associated with a modest decrease in BMIp95 among children living in Seattle compared with children living in nearby nontaxed areas who were receiving care within the same health care systems. Taken together with existing studies in the US, these results suggest that sweetened beverage taxes may be an effective policy for improving children's BMI. Future research should test this association using longitudinal data in other US cities with sweetened beverage taxes.

Changes in Precarious Employment and Health in the United States Amidst the COVID-19 Pandemic.

This study aimed to investigate the association between changes in employment precarity and changes in health amidst the COVID-19 pandemic. We conducted an online survey of 623 U.S. adults at-risk for cardiovascular disease, which queried respondents on employment, food insecurity, and blood pressure measurements in the Fall of 2020 and retrospectively, in February 2020. Respondents were also queried on perceived stress in the Fall of 2020. We created a multidimensional precarious employment score (PES) using 13 survey indicators, that operationalized the following dimensions of employment precarity (PES range: 0-13): material rewards, working time arrangements, employment stability, workers' rights, collective organization, interpersonal relations, and training opportunities. Using adjusted linear regression models, we investigated the association between a change in the PES and 1) change in systolic blood pressure, 2) change in pulse pressure, 3) change in food insecurity, and 4) perceived stress. Models controlled for race/ethnicity, age, gender, and education. Results indicated that employment precarity was 13 % higher between February and Fall 2020, particularly among women and non-Hispanic Black respondents. A change in the PES was associated with a change in food insecurity ( ß : 0.02; 95 % CI:0.01, 0.03) and higher perceived stress ( ß : 0.39; 95 % CI:0.25, 0.53). The PES was not associated with a change in systolic blood pressure ( ß : -0.22; 95 % CI:-0.76, 0.32) nor in pulse pressure ( ß : -0.33; 95 % CI: -0.73, 0.07). Policy approaches to mitigate the growth in employment precarity, and in turn food insecurity and stress, warrant consideration to prevent widening of health inequities.

A Novel Use of Bar Code Medication Administration Data to Assess Nurse Staffing and Workload.

OBJECTIVE: The aim of the study is to introduce an innovative use of bar code medication administration (BCMA) data, medication pass analysis, that allows for the examination of nurse staffing and workload using data generated during regular nursing workflow. METHODS: Using 1 year (October 1, 2014-September 30, 2015) of BCMA data for 11 acute care units in one Veterans Affairs Medical Center, we determined the peak time for scheduled medications and included medications scheduled for and administered within 2 hours of that time in analyses. We established for each staff member their daily peak-time medication pass characteristics (number of patients, number of peak-time scheduled medications, duration, start time), generated unit-level descriptive statistics, examined staffing trends, and estimated linear mixed-effects models of duration and start time. RESULTS: As the most frequent (39.7%) scheduled medication time, 9:00 was the peak-time medication pass; 98.3% of patients (87.3% of patient-days) had a 9:00 medication. Use of nursing roles and number of patients per staff varied across units and over time. Number of patients, number of medications, and unit-level factors explained significant variability in registered nurse (RN) medication pass duration (conditional R2 = 0.237; marginal R2 = 0.199; intraclass correlation = 0.05). On average, an RN and a licensed practical nurse (LPN) with four patients, each with six medications, would be expected to take 70 and 74 minutes, respectively, to complete the medication pass. On a unit with median 10 patients per LPN, the median duration (127 minutes) represents untimely medication administration on more than half of staff days. With each additional patient assigned to a nurse, average start time was earlier by 4.2 minutes for RNs and 1.4 minutes for LPNs. CONCLUSION: Medication pass analysis of BCMA data can provide health systems a means for assessing variations in staffing, workload, and nursing practice using data generated during routine patient care activities.

Seattle's sweetened beverage tax implementation and changes in interior marketing displays.

Policymakers aim sugar-sweetened beverage (SSB) taxes at decreasing SSB consumption; however, little is known about their impact on beverage marketing in the retail environment. We assessed changes in interior marketing displays within large food stores before and after the implementation of Seattle's SSB tax. We used Poisson difference-in-difference (DID) models to estimate whether presence and variety of interior beverage marketing displays in Seattle changed from before to after the tax compared to displays in non-taxed comparison area stores, overall, and by beverage type. We found no significant changes in overall SSB or non-SSB interior marketing displays in Seattle versus the comparison area. There was less of an increase in displays for diet soda (DID 0.79, 90% CI 0.65, 0.97), and more of an increase in displays for diet energy drinks (DID 1.78, 90% CI 1.03, 3.09) in Seattle versus comparison area. There was mixed evidence that stores changed interior marketing displays in response to the SSB tax.

Mechanisms by Which Cultural-Centric Narrative Influences Interest in ADRD Research Among African American Adults.

BACKGROUND AND OBJECTIVES: Insufficient ethnoracial diversity is a pervasive challenge in Alzheimer's disease (AD) research. The Recruitment Innovations for Diversity Enhancement (RIDE) is grounded in the premise that culturally informed narratives of research participation can inspire individuals from a given culture-sharing group to consider research enrollment. This study examines factors associated with interest in AD research among Black or African American adults following exposure to RIDE narrative campaign materials. RESEARCH DESIGN AND METHODS: A community-based sample of 500 Black or African American adults viewed RIDE narrative materials online and completed a survey of perceptions about research, AD risk, and likelihood of enrolling in AD research. Logistic regression examined predictors and mediators of self-reported likelihood of participating in AD research. RESULTS: Most (72%) participants reported interest in being contacted for AD research opportunities. After controlling for key variables, prior experience with clinical research and trust in medical researchers emerged as independent predictors of likelihood of enrolling in AD research. Perceived burden of AD research partially mediated the effects of prior research experience and trust on likelihood of enrollment. Perceived benefits of AD research also played a mediating role, accounting for over one third of the effect of trust on likelihood of enrollment. DISCUSSION AND IMPLICATIONS: This study advances the field's understanding of how narrative may function to enhance diversity in AD research. Findings suggest that participant narratives should address experiences regarding the burdens and potential benefits of AD research participation as these factors may influence decisions leading to subsequent research enrollment.