Implementing and Evaluating a Discharge Before Noon Initiative in a Large Tertiary Care Urban Hospital

BACKGROUND

Discharging clinically ready patients before noon on their discharge day may influence overall discharge process quality, emergency department (ED) boarding times, and length of stay (LOS). This study evaluated the effectiveness of a discharge before noon (DBN) initiative.

METHODS

Many DBN components were refined or added during a pilot, including incorporating the DBN process into daily rounds, an electronic tracking system, and other elements for possible DBN patients such as a car service when appropriate and expedited lab results and physical therapy consults. DBN was evaluated through a retrospective pre-post study (12-month periods). Study patients were from Maimonides Medical Center's medicine units. Kaplan-Meier estimates and a log-rank test characterized and compared the discharge time probabilities in pre-DBN and post-DBN groups. Log-logistic accelerated failure time (AFT) analysis assessed the influence of DBN on discharge time. Secondary analyses examined the relationship between LOS and readmission within 30 days for any cause and DBN.

RESULTS

The percentage of patients discharged before noon increased from 5.0% to 11.4% pre/post-DBN (p < 0.001). The AFT analysis estimated that post-DBN patients had discharge times 41.5% earlier (p < 0.001). DBN as an independent factor was not associated with LOS or subsequent readmissions within 30 days for any cause. Despite an increase in the percentage of patients admitted during the daytime (8:00 a.m. to 5:00 p.m.), the median ED boarding time increased by 41 minutes in post-DBN patients (p < 0.001).

CONCLUSION

The DBN initiative was associated with an increased percentage of patients discharged before noon. Further research is needed to identify strategies that reliably improve discharge timeliness while reducing ED boarding.

Relationship between Patient Experience Scores and Health Insurance

(1) Background: the patient experience may be a performance indicator in value-based reimbursement. Accordingly, providers have an incentive to understand factors that affect their patients’ experiences. This study evaluated the relationship between health insurance type and patient experience ratings. (2) Methods: individual-level demographic, health/healthcare, and patient experience data were extracted from the Full-Year Consolidated Data File of the 2019 Medical Expenditure Panel Surveys. A logistic regression was used to evaluate whether how persons—included in this study’s analytic sample (aged 18 and over with complete covariate information)—rated the healthcare they received from all their providers was associated with their health insurance types controlling for covariates. (3) Results: relative to people 18−64 years of age with private health insurance, people 18−64 years of age without health insurance were less likely to rank their healthcare as a 9 or 10—where a 10 indicates the best possible care—(OR: 0.69; p = 0.015) while people aged 65 years or over with Medicare (OR: 1.34; p = 0.002) or with Medicare/private health insurance (OR: 1.48; p < 0.001) were more likely to rank their healthcare as a 9 or 10. (4) Conclusions: Select health insurance types were associated with how patients rate their healthcare. Stakeholders could use this information to create programs aimed to improve patient experience.

It's not always binary: Connecting the continuum of caregiver depression with child adjustment in children who are high risk for maltreatment

BACKGROUND

Young children living with a depressed parent are at risk for developing social, behavioral, and emotional problems. The purpose of this study was to evaluate whether an increase in subclinical caregiver depression scores was associated with increases in internalizing and externalizing behavior in children who are at high risk for maltreatment.

METHODS

The 1019 U.S.-based dyads consisted of predominantly single (45.53%) and Black/African American (53.29%) caregivers and high-risk 4-year-olds from the LONGSCAN study. Multivariate regression analyzes were used to evaluate the relationship between caregiver Center for Epidemiological Studies-Depression (CES-D) scores, above and below the at-risk for depression CES-D score, and preschooler internalizing, externalizing, and total problem behaviors, measured with the Child Behavior Checklist (CBCL).

RESULTS

Caregiver CES-D score increases, above and below the at-risk for depression score, were significantly associated (p < 0.05) with increased child internalizing, externalizing, and total problem behaviors. After adjusting for covariates, among dyads whose caregivers had subclinical (CES-D < 16) scores, a one-unit score increase was significantly associated with a 0.43 increase (p = 0.00) in children's CBCL internalizing score.

LIMITATIONS

These findings are restricted to preschool children who are at risk for maltreatment, limiting generalizability.

CONCLUSIONS

Low and moderate levels of caregiver depressive symptomatology were associated with a negative influence on preschoolers' adjustment. Practitioners should consider that the link between caregiver depression and child wellbeing may lie on a continuum. With consideration of the full continuum of symptoms, early intervention and anticipatory guidance may decrease the impact of depression on the caregiver, child, and system.

Disparities in length of stay for hip fracture treatment between patients treated in safety-net and non-safety-net hospitals

Background

Length of hospital stay (LOS) for hip fracture treatments is associated with mortality. In addition to patient demographic and clinical factors, hospital and payer type may also influence LOS, and thus mortality, among hip fracture patients; accordingly, outcome disparities between groups may arise from where patients are treated and from their health insurance type. The purpose of this study was to examine if where hip fracture patients are treated and how they pay for their care is associated with outcome disparities between patient groups. Specifically, we examined whether LOS differed between patients treated at safety-net and non-safety-net hospitals and whether LOS was associated with patients’ insurance type within each hospital category.

Methods

A sample of 48,948 hip fracture patients was extracted from New York State’s Statewide Planning and Research Cooperative System (SPARCS), 2014–2016. Using means comparison and X² tests, differences between safety-net and non-safety-net hospitals on LOS and patient characteristics were examined. Relationships between LOS and hospital category (safety-net or non-safety-net) and LOS and insurance type were further evaluated through negative binomial regression models.

Results

LOS was statistically (p ≤ 0.001) longer in safety-net hospitals (7.37 days) relative to non-safety-net hospitals (6.34 days). Treatment in a safety-net hospital was associated with a LOS that was 11.7% (p = 0.003) longer than in a non-safety-net hospital. Having Medicaid was associated with a longer LOS relative to having commercial health insurance.

Conclusion

Where hip fracture patients are treated is associated with LOS and may influence outcome disparities between groups. Future research should examine whether outcome differences between safety-net and non-safety-net hospitals are associated with resource availability and hospital payer mix.

Predictors of Food Insecurity for Hospitals' Patients and Communities: Implications for Establishing Effective Population Health Initiatives

As food insecurity interventions are incorporated into hospitals' population health initiatives, addressing the needs of hospitals' patients and communities through the same interventions may be ineffective if the groups vary and have different needs. This study examined whether food insecurity predictors were different in the general population compared to individuals with hospital discharges, and also whether food-insecure hospital patients differed from food-insecure community members. National data were extracted from the 2016 Medical Expenditures Panel Survey. Summary statistics were compared to test for differences between food security status groups. Logistic regressions were estimated for the general population and for individuals with hospital discharges to identify associations between food insecurity and demographic, socioeconomic, and health characteristics. Food-insecure individuals with and without hospital discharges differed statistically across multiple variables, including 15 of 16 health-related variables. However, compared to food-secure individuals with hospital discharges, food-insecure individuals with hospital discharges differed on only half of the health variables. Food insecurity predictors also differed among the general population and hospital discharge samples; for instance, age and race were only associated with higher likelihoods of food insecurity in the population sample. Furthermore, 9 health-related variables were associated with food insecurity in the population sample relative to only 2 in the hospital discharge sample. Food insecurity predictors differed between the general population and individuals with hospital discharges; food-insecure individuals with and without hospital discharges also differed statistically. Therefore, hospitals should carefully consider their target populations when constructing population health initiatives.

Strategies for the Enhancement of Nutrition Practice in a New York State Level 1 Trauma Center: A Hospital's Journey

BACKGROUND

Provision of enteral nutrition (EN) support is historically inadequate in the critically ill population. An interdisciplinary approach utilizing various strategies has been shown to improve initiation of timely EN support. The purpose of this study was to examine whether the implementation of a series of interventions led by an interdisciplinary team was associated with changes in the initiation of nutrition support in a level 1 trauma center.

METHODS

Patients admitted between 2009 and 2013 with isolated closed head trauma injuries were identified through the hospital's trauma center database. The initial population consisted of 159 patients; after exclusion criteria, 141 patients were included in the statistical analyses. Two statistical analyses were conducted. The first calculated the average days to the initiation of nutrition start by admission year. The second estimated the association between admission year and time to nutrition initiation with a generalized linear model.

RESULTS

Time to initiate nutrition therapy was estimated to decrease by 1.46 days (47.31%) from 2009 to 2013. The time to initiate nutrition in 2013 was 1.63 days. A significant association was found between the time to initiate nutrition and the 2012 and 2013 binary variables while controlling for confounding variables. The time frame was estimated to be 1.09 (P = .008) and 1.75 (P = .000) days shorter in 2012 and 2013 relative to 2009.

CONCLUSIONS

An interdisciplinary effort utilizing multiple strategies identified and addressed barriers, resulting in a reduction of variability and a proactive approach to early EN.

Differences in Food and Beverage Marketing Policies and Practices in US School Districts, by Demographic Characteristics of School Districts, 2012

Introduction

Foods and beverages marketed in schools are typically of poor nutritional value. School districts may adopt policies and practices to restrict marketing of unhealthful foods and to promote healthful choices. Students’ exposure to marketing practices differ by school demographics, but these differences have not yet been examined by district characteristics.

Methods

We analyzed data from the 2012 School Health Policies and Practices Study to examine how food and beverage marketing and promotion policies and practices varied by district characteristics such as metropolitan status, size, and percentage of non-Hispanic white students.

Results

Most practices varied significantly by district size: a higher percentage of large districts than small or medium-sized districts restricted marketing of unhealthful foods and promoted healthful options. Compared with districts whose student populations were majority (>50%) non-Hispanic white, a higher percentage of districts whose student populations were minority non-Hispanic white (≤50% non-Hispanic white) prohibited advertising of soft drinks in school buildings and on school grounds, made school meal menus available to students, and provided families with information on school nutrition programs. Compared with suburban and rural districts, a higher percentage of urban districts prohibited the sale of soft drinks on school grounds and used several practices to promote healthful options.

Conclusion

Preliminary findings showing significant associations between district demographics and marketing policies and practices can be used to help states direct resources, training, and technical assistance to address food and beverage marketing and promotion to districts most in need of improvement.

Prevalence and Costs of Five Chronic Conditions in Children

The objective is to examine the prevalence and health-care costs associated with asthma, epilepsy, hypertension, food allergies, and diabetes in children aged 0-18 years. Prevalence was calculated using 2005-2012 Medical Expenditure Panel Survey (MEPS) data, a population-based, nationally representative sample. Using MEPS, two-part models estimated the cost of each condition for all children while controlling for sociodemographic categories. Prevalence rates varied by race and ethnicity across conditions. Females had higher prevalence of all chronic conditions, except epilepsy. An additional US$1,377.60-US$9,059.49 annually were spent on medical expenses for children aged 0-18 years, with asthma, diabetes, or epilepsy compared to children without these conditions. This is the first study to examine the costs and prevalence of chronic health conditions in children and adolescents using a single data set. Understanding the odds of having a condition by sociodemographic categories highlights disparities that can potentially inform school nurses on the best allocation of resources to serve students.

Is There a Discrepancy? Comparing Enteral Nutrition Documentation With Enteral Pump Volumes

INTRODUCTION

Nutrition therapy is essential to the care of critically ill patients. Information that is used to calculate the differences between patients' nutrition prescription and actual provision may be flawed due to errors in manually recording the amount of enteral nutrition (EN) provided. This study's purpose was to evaluate the accuracy of the EN volume delivered as recorded in the electronic medical record (EMR) relative to the EN volume retrieved from the EN pump.

METHODS

This prospective, blinded, observational study occurred from June 2014 to April 2015 with a total of 218 patients. Patients were identified for the study based on their intensive care unit (ICU) admission and need for EN support. Patients were ICU patients receiving EN support.

RESULTS

The major result of this study was that 14% of patients' EN volumes were underdocumented and 26% were overdocumented.

CONCLUSION

These results support the need for a technological platform that directly transmits EN pump volumes in real time to the EMR.

Designing an Agent-Based Model for Childhood Obesity Interventions: A Case Study of ChildObesity180

Complex systems modeling can provide useful insights when designing and anticipating the impact of public health interventions. We developed an agent-based, or individual-based, computation model (ABM) to aid in evaluating and refining implementation of behavior change interventions designed to increase physical activity and healthy eating and reduce unnecessary weight gain among school-aged children. The potential benefits of applying an ABM approach include estimating outcomes despite data gaps, anticipating impact among different populations or scenarios, and exploring how to expand or modify an intervention. The practical challenges inherent in implementing such an approach include data resources, data availability, and the skills and knowledge of ABM among the public health obesity intervention community. The aim of this article was to provide a step-by-step guide on how to develop an ABM to evaluate multifaceted interventions on childhood obesity prevention in multiple settings. We used data from 2 obesity prevention initiatives and public-use resources. The details and goals of the interventions, overview of the model design process, and generalizability of this approach for future interventions is discussed.

Shape Up Somerville: change in parent body mass indexes during a child-targeted, community-based environmental change intervention

OBJECTIVES

We investigated the body mass index (BMI; weight in pounds/[height in inches](2) × 703) of parents whose children participated in Shape Up Somerville (SUS), a community-based participatory research study that altered household, school, and community environments to prevent and reduce childhood obesity.

METHODS

SUS was a nonrandomized controlled trial with 30 participating elementary schools in 3 Massachusetts communities that occurred from 2002 to 2005. It included first-, second-, and third-grade children. We used an inverse probability weighting estimator adjusted for clustering effects to isolate the influence of SUS on parent (n=478) BMI. The model's dependent variable was the change in pre- and postintervention parent BMI.

RESULTS

SUS was significantly associated with decreases in parent BMIs. SUS decreased treatment parents' BMIs by 0.411 points (95% confidence interval=-0.725, -0.097) relative to control parents.

CONCLUSIONS

The benefits of a community-based environmental change childhood obesity intervention can spill over to parents, resulting in decreased parental BMI. Further research is warranted to examine the effects of this type of intervention on parental health behaviors and health outcomes.