Neural and metabolic factors in carbohydrate reward: Rationale, design, and methods for a flavor-nutrient learning paradigm in humans.

Overconsumption of ultra-processed foods (UPFs), which are linked with adverse health outcomes, is a growing public health concern. UPFs deliver highly bioavailable calories rapidly, which may contribute to their reinforcing potential and drive overconsumption. Our primary aim is to test the role of speed of nutrient availability on reward learning. We hypothesize that brain activity in reward related areas and behavioral preferences will be greater to a flavored drink predicting rapidly available calories (CS + Fast) compared with a flavored drink predicting more slowly available (CS + Slow) or no (CS-) calories. Participants (n = 64, aged 18-45 years, will consume 3 novel flavored, isosweet beverages containing 110 kcal of sucrose (CS + Fast), 110 kcal of maltodextrin (CS + Slow), or 0-kcal sucralose (CS-) 6 times in randomized, crossover order. Blood metabolites and indirect calorimetry measures, including metabolic rate and carbohydrate oxidation, will be assessed before and for 1 h after beverage consumption. Behavioral preference for beverages will be assessed in a pre- and post-test. Brain response to each flavor without calories will be assessed via functional magnetic resonance imaging in a post-test. Findings from this study will contribute to the understanding of basic mechanisms that may drive overconsumption of UPFs. Trial registration:clinicaltrials.gov registration #NCT06053294.

A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science.

Data-intensive research continues to expand with the goal of improving healthcare delivery, clinical decision-making, and patient outcomes. Quantitative scientists, such as biostatisticians, epidemiologists, and informaticists, are tasked with turning data into health knowledge. In academic health centres, quantitative scientists are critical to the missions of biomedical discovery and improvement of health. Many academic health centres have developed centralized Quantitative Science Units which foster dual goals of professional development of quantitative scientists and producing high quality, reproducible domain research. Such units then develop teams of quantitative scientists who can collaborate with researchers. However, existing literature does not provide guidance on how such teams are formed or how to manage and sustain them. Leaders of Quantitative Science Units across six institutions formed a working group to examine common practices and tools that can serve as best practices for Quantitative Science Units that wish to achieve these dual goals through building long-term partnerships with researchers. The results of this working group are presented to provide tools and guidance for Quantitative Science Units challenged with developing, managing, and evaluating Quantitative Science Teams. This guidance aims to help Quantitative Science Units effectively participate in and enhance the research that is conducted throughout the academic health centre-shaping their resources to fit evolving research needs.

Community Culture Survey - Revised: Measuring neighborhood culture and exploring geographic, socioeconomic, and cultural determinants of health in samples across the United States and in Thailand.

Objectives: Research on links between social, geographic, and cultural determinants of health has been thwarted by inadequate measures of culture. The purpose of this study was to improve the measurement of community culture, defined as shared patterns of attitudes and behaviors among people within a neighborhood that distinguish it from others, and to examine dimensions of culture, independent of socioeconomic and demographic factors, and their relationships with health. Study design: A survey research design with correlational analyses was used. Methods: A survey packet including the Community Culture Survey - Revised (CCS-R), demographic, health, and other individual-level measures was administered through convenience sampling across the United States (US) and to a sample in Thailand from 2016 to 2018. US county-level variables were obtained from zip codes. Results: 1930 participants from 49 US states (n = 1592) and Thailand (n = 338) completed all CCS-R items, from which 12 subscales were derived: Social Support & Connectedness, Responsibility for Self & Others, Family Ties & Duties, Social Distress, Urban Diversity, Discontinuity, Church-Engaged, External Resource-Seeking, Locally Owned Business-Active, Power Deference, Next Generation Focus, and Self-Reliance. Neighborhood culture subscale scores varied more by geography than by participant's demographics. All subscales predicted one or more health indicator, and some of these relationships were significant after adjusting for participant age and county-level socioeconomic variables. Most of the significant differences on subscales by race/ethnicity were no longer significant after adjusting for participant's age and county-level socioeconomic variables. Most rural/urban and regional differences in culture within the US persisted after these adjustments. Based on correlational analyses, Social Support & Connectedness and Responsibility for Self & Others were the best predictors of participants' overall health and quality of life, and Responsibility for Self & Others was the best predictor (inversely) of the CDC's measures of social vulnerability. Conclusions: Neighborhood culture is measurable, multi-dimensional, distinct from race/ethnicity, and related to health even after controlling for age and socioeconomic factors. The CCS-R is useful for advancing research and practice addressing the complex interactions between individuals, their neighborhood communities, and health outcomes.

Validity and reliability of a new whole room indirect calorimeter to assess metabolic response to small calorie loads.

We overview of our whole room indirect calorimeter (WRIC), demonstrate validity and reliability of our WRIC, and explore a novel application of Bayesian hierarchical modeling to assess responses to small carbohydrate loads. To assess WRIC validity seven gas infusion studies were performed using a gas blender and profiles designed to mimic resting and postprandial metabolic events. Sixteen participants underwent fasting and postprandial measurements, during which they consumed a 75-kcal drink containing sucrose, dextrose, or fructose in a crossover design. Linear mixed effects models were used to compare resting and postprandial metabolic rate (MR) and carbohydrate oxidation. Postprandial carbohydrate oxidation trajectories for each participant and condition were modeled using Bayesian Hierarchical Modeling. Mean total error in infusions were 1.27 ± 0.67% and 0.42 ± 0.70% for VO2 and VCO2 respectively, indicating a high level of validity. Mean resting MR was similar across conditions ([Formula: see text] = 1.05 ± 0.03 kcal/min, p = 0.82, ICC: 0.91). While MR increased similarly among all conditions (~13%, p = 0.29), postprandial carbohydrate oxidation parameters were significantly lower for dextrose compared with sucrose or fructose. We provide evidence validating our WRIC and a novel application of statistical methods useful for research using WRIC.

Interventional analytics in skilled nursing facilities associated with reduced readmissions.

OBJECTIVE: To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states. STUDY DESIGN: Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data. METHODS: CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively. RESULTS: LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022. CONCLUSIONS: SNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.

Creation and validation of a NOVA scored picture set to evaluate ultra-processed foods.

There has been a rapid shift in the modern food environment towards increased processing in foods consumed in the United States (US) and globally. The NOVA system (not an acronym) for classifying food on degree of processing currently has the most empirical support. Consumption of foods in the NOVA 4 category, ultra-processed foods (UPF), is a risk factor for a host of poor health outcomes including heart disease, stroke, and cancer. Despite these poor health outcomes, UPF make up 58% of calories consumed in the US. Methodologies for assessing the reinforcing and rewarding properties of these foods are necessary tools. The Becker-DeGroot-Marschak auction paradigm (BDM) is a well validated tool for measuring value and is amenable to neuromonitoring environments. To allow for the testing of hypotheses based on level of food processing, we present a picture set of 14 UPF and 14 minimally-processed foods (MPF) matched on visual properties, food characteristics (fat, carbohydrate, cost, etc.), and rated perceptual properties. Further, we report our scoring of these foods using the NOVA classification system and provide additional data from credentialed nutrition professionals and on inter-rater reliability using NOVA, a critique of the system. Finally, we provide all pictures, data, and code used to create this picture set as a tool for researchers.

Comparative Evaluation of Proton Therapy and Volumetric Modulated Arc Therapy for Brachial Plexus Sparing in the Comprehensive Reirradiation of High-Risk Recurrent Breast Cancer.

Purpose: Recurrent or new primary breast cancer requiring comprehensive regional nodal irradiation after prior radiation therapy (RT) to the supraclavicular area and upper axilla is challenging due to cumulative brachial plexus (BP) dose tolerance. We assessed BP dose sparing achieved with pencil beam scanning proton therapy (PBS-PT) and photon volumetric modulated arc therapy (VMAT). Methods and Materials: In an institutional review board-approved planning study, all patients with ipsilateral recurrent breast cancer treated with PBS-PT re-RT (PBT1) with at least partial BP overlap from prior photon RT were identified. Comparative VMAT plans (XRT1) using matched BP dose constraints were developed. A second pair of proton (PBT2) and VMAT (XRT2) plans using standardized target volumes were created, applying uniform prescription dose of 50.4 per 1.8 Gy and a maximum BP constraint <25 Gy. Incidence of brachial plexopathy was also assessed. Results: Ten consecutive patients were identified. Median time between RT courses was 48 months (15-276). Median first, second, and cumulative RT doses were 50.4 Gy (range, 42.6-60.0), 50.4 Gy relative biologic effectiveness (RBE) (45.0-64.4), and 102.4 Gy (RBE) (95.0-120.0), respectively. Median follow-up was 15 months (5-33) and 18 months for living patients (11-33) Mean BP max was 37.5 Gy (RBE) for PBT1 and 36.9 Gy for XRT1. Target volume coverage of V85% (volume receiving 85% of prescription dose), V90%, and V95% were numerically lower for XRT1 versus PBT1. Similarly, axilla I-III and supraclavicular area coverage were significantly higher for PBT2 than XRT2 at dose levels of V55%, V65%, V75%, V85%, and V95%. Only axilla I V55% did not reach significance (P = .06) favoring PBS-PT. Two patients with high cumulative BPmax (95.2 Gy [RBE], 101.6 Gy [RBE]) developed brachial plexopathy symptoms with ulnar nerve distribution neuropathy without pain or weakness (1 of 2 had symptom resolution after 6 months without intervention). Conclusions: PBS-PT improved BP sparing and target volume coverage versus VMAT. For patients requiring comprehensive re-RT for high-risk, nonmetastatic breast cancer recurrence with BP overlap and reasonable expectation for prolonged life expectancy, PBT may be the preferred treatment modality.

Periodontal Pocket Therapy Using a Class IV Dental Diode Laser in Dogs: A Retrospective Analysis.

Class IV dental diode lasers have been introduced as a nonsurgical therapy for periodontal pockets in veterinary and human dentistry. This retrospective case series evaluates the use of Class IV dental diode laser therapy for abnormal periodontal pockets in a specialty veterinary dental practice. A hypothesis that the Class IV diode dental laser is a useful adjuvant modality in canine periodontal pocket therapy in the reduction of clinical pocket depth was made. This article discusses and demonstrates diode laser use in periodontal pocket therapy in a specialty veterinary dental practice and reviews the current literature. Inclusion in this study was limited to client-owned dogs with noted periodontal pocketing on any tooth type between 3 and 6 mm, which were treated with closed root planing (RP/C) and laser therapy who returned in 6 to 7 months for recheck of the pockets from the years 2017 to 2020. Twelve patients met the inclusion criteria. A total of 128 periodontal pockets were included in the study. Each periodontal pocket was a case receiving therapy. The mean periodontal pocket depth before the treatment is measured as 3.35 mm. The mean pocket depth of the periodontal pockets following treatment was 0.59 mm. The mean improvement in periodontal pocket depths after diode laser therapy when considering patient and tooth number using linear mixed-effects modeling was 2.63 mm (95% confidence interval [CI]: 1.81-3.46, P < .0001). No statistically significant results were observed for pocket type, as P values were greater than .05.

National assessment of obstetrics and gynecology and family medicine residents' experiences with CenteringPregnancy group prenatal care.

OBJECTIVE: To examine family medicine (FM) and obstetrician-gynecologist (OB/GYN) residents' experiences with CenteringPregnancy (CP) group prenatal care (GPNC) as a correlate to perceived likelihood of implementing CP in future practice, as well as knowledge, level of support, and perceived barriers to implementation. METHODS: We conducted a repeated cross-sectional study annually from 2017 to 2019 with FM and OB/GYN residents from residency programs in the United States licensed to operate CP. We applied adjusted logistic regression models to identify predictors of intentions to engage with CP in future practice. RESULTS: Of 212 FM and 176 OB/GYN residents included in analysis, 67.01% of respondents intended to participate as a facilitator in CP in future practice and 51.80% of respondents were willing to talk to decision makers about establishing CP. Both FM and OB/GYN residents who spent more than 15 h engaged with CP and who expressed support towards CP were more likely to participate as a facilitator. FM residents who received residency-based training on CP and who were more familiar with CP reported higher intention to participate as a facilitator, while OB/GYN residents who had higher levels of engagement with CP were more likely to report an intention to participate as a facilitator. CONCLUSION: Engagement with and support towards CP during residency are key factors in residents' intention to practice CP in the future. To encourage future adoption of CP among residents, consider maximizing resident engagement with the model in hours of exposure and level of engagement, including hosting residency-based trainings on CP for FM residents.

Validity and reliability of a new whole room indirect calorimeter to assess metabolic response to small-calorie loads.

Objective: To provide an overview of our whole room indirect calorimeter (WRIC), demonstrate validity and reliability of our WRIC, and explore a novel application of Bayesian hierarchical modeling to assess responses to small carbohydrate loads. Methods: Seven gas infusion studies were performed using a gas blender and profiles designed to mimic resting and postprandial metabolic events to assess WRIC validity. In a crossover design, 16 participants underwent fasting and postprandial measurements, during which they consumed a 75-kcal drink containing sucrose, dextrose, or fructose. Linear mixed effects models were used to compare resting and postprandial metabolic rate (MR) and CO (CO). Bayesian Hierarchical Modeling was also used to model postprandial CO trajectories for each participant and condition. Results: Mean total error in infusions were 1.27 ± 1.16% and 0.42 ± 1.21% for VO2 and VCO2 respectively, indicating a high level of validity. Mean resting MR was similar across conditions (x¯=1.05±0.03 kcal/min, p=0.82, ICC: 0.91). While MR increased similarly among all conditions (~13%, p=0.29), postprandial CO parameters were significantly lower for dextrose compared with sucrose or fructose. Conclusions: Our WRIC validation and novel application of statistical methods presented here provide important foundations for new research directions using WRIC.

Understanding the mediated relationship between moral distress, depression, and suicide risk in undergraduate nursing students.

BACKGROUND: Nursing students are at higher risk for depression, suicide, and other mental health concerns as compared to the general college student population. Moral distress and other ethical issues may be a significant source of psychological harm within nursing student experiences and warrants further attention. PURPOSE: The purpose of this study was to understand the mediating effect of depression on the relationship between moral distress and suicide risk among undergraduate nursing students. METHODS: This cross-sectional analysis was derived from a larger sequential mixed methods study. The first phase was an online survey completed by a national sample of N = 679 nursing students in the United States. FINDINGS: The relationship between moral distress and suicide risk was fully mediated by depression and statistically significant at the alpha = 0.05 level. CONCLUSION: All three psychological variables (depression, moral distress, suicide risk) impact nursing students and require innovative solutions within nursing and educational programs.

Predictors of Adherence to Continuous Positive Airway Pressure in Older Adults With Apnea and Amnestic Mild Cognitive Impairment.

BACKGROUND: Almost 60% of adults with amnestic mild cognitive impairment (aMCI) have obstructive sleep apnea (OSA). Treatment with continuous positive airway pressure (CPAP) may delay cognitive decline, but CPAP adherence is often suboptimal. In this study, we report predictors of CPAP adherence in older adults with aMCI who have increased odds of progressing to dementia, particularly due to Alzheimer's disease. METHODS: The data are from Memories 2, "Changing the Trajectory of Mild Cognitive Impairment with CPAP Treatment of Obstructive Sleep Apnea." Participants had moderate to severe OSA, were CPAP naïve, and received a telehealth CPAP adherence intervention. Linear and logistic regression models examined predictors. RESULTS: The 174 participants (mean age 67.08 years, 80 female, 38 Black persons) had a mean apnea-hypopnea index of 34.78, and 73.6% were adherent, defined as an average of ≥4 hours of CPAP use per night. Only 18 (47.4%) Black persons were CPAP adherent. In linear models, White race, moderate OSA, and participation in the tailored CPAP adherence intervention were significantly associated with higher CPAP use at 3 months. In logistic models, White persons had 9.94 times the odds of adhering to CPAP compared to Black persons. Age, sex, ethnicity, education, body mass index, nighttime sleep duration, daytime sleepiness, and cognitive status were not significant predictors. CONCLUSIONS: Older patients with aMCI have high CPAP adherence, suggesting that age and cognitive impairment should not be a barrier to prescribing CPAP. Research is needed to improve adherence in Black patients, perhaps through culturally tailored interventions.

Deepening Our Understanding of COVID-19 Vaccine Decision-Making amongst Healthcare Workers in Southwest Virginia, USA Using Exploratory and Confirmatory Factor Analysis.

Vaccine hesitancy amongst healthcare workers (HCWs) has been a major challenge throughout the COVID-19 pandemic. While many studies have identified HCW characteristics and specific attitudes associated with COVID-19 vaccine hesitancy, researchers are still working towards developing a holistic understanding of the psychological constructs that influence COVID-19 vaccine decision-making in this population. Between 15 March and 29 March 2021, we distributed an online survey assessing individual characteristics and vaccine-related perceptions to employees of a not-for-profit healthcare system in Southwest Virginia (N = 2459). We then performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to describe patterns of vaccine-related thought amongst HCWs and identify latent psychometric constructs involved in vaccine decision-making. The goodness of model fit was assessed using the Tucker-Lewis Index (TLI), the Comparative Fit Index (CFI), and the Root Mean Square Error of Approximation (RMSEA). Internal consistency and reliability of each factor were assessed using Cronbach's alpha. EFA identified four latent psychometric constructs: Lack of trust in the COVID-19 vaccine; Anti-science sentiment; Adverse side-effects; and Situational risk assessment. The goodness of EFA model fit was adequate (TLI > 0.90, RMSEA ≤ 0.08) with acceptable internal consistency and reliability for three of four factors (Cronbach's alpha > 0.70). The CFA model also had adequate goodness of fit (CFI > 0.90, RMSEA ≤ 0.08). We believe the psychometric constructs identified in this study can provide a useful framework for interventions to improve vaccine uptake amongst this critical population.

Predictors of Mortality and Revision Following Digital Amputation for Infection and Necrosis.

PURPOSE: Digital amputation is a commonly performed procedure for infection and necrosis in patients with diabetes, peripheral vascular disease (PVD), and on dialysis. There is a lack of data regarding prognosis for revision amputation and mortality following digital amputation in these patients. METHODS: All digital amputations over 10-year period (2008-2018) at a single center were reviewed. There were 484 amputations in 360 patients, among which 358 were performed for trauma (reference sample) and 126 for infection or necrosis (sample of interest). Patient death and revision were determined from National Vital Statistics System and medical records. Propensity score matching was performed to compare groups. Data were then compared to the Social Security Administration Actuarial Life Table for 2015 to determine age-matched expected mortality. RESULTS: The 2-year revision rate was 34% for amputations performed for infection or necrosis, compared to 15% for amputations due to trauma. For amputations performed for infection or necrosis, the revision rate was 47.7% when diabetes, PVD, and dialysis were present. Among all patients with infection or necrosis (n = 104) undergoing a digital amputation, overall survival at 2, 5, and 10 years was 79.4%, 57.3%, and 17.5%, respectively, which represented a 3.2-fold increased risk of death compared to controls. (hazard ratio, 3.19; 95% confidence interval, 1.47-6.93). For amputations due to trauma, mortality was no different from that in the age-matched general population. CONCLUSIONS: Mortality and revision risk are high for patients requiring a digital amputation for infection or necrosis and are further increased with medical comorbidities. Hand surgeons should consider the prognostic implications of these data when counseling patients. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic IV.

The study protocol to evaluate implementation of the transitional care model in four U.S. healthcare systems during the Covid-19 pandemic.

This study protocol describes the conceptual framework, design, and methods being employed to evaluate the implementation of the Transitional Care Model (TCM) as part of a randomized controlled trial. The trial, designed to examine the health and cost outcomes of at-risk hospitalized older adults, is being conducted in the context of the COVID-19 pandemic. This parallel study is guided by the Practical, Robust, Implementation and Sustainability Model (PRISM) and uses a fixed, mixed methods convergent parallel design to identify challenges encountered by participating hospitals and post-acute and community-based providers that impact the implementation of the TCM with fidelity, strategies implemented to address those challenges and the relationships between challenges, strategies, and rates of fidelity to TCM's core components over time. Prior to the study's launch and throughout its implementation, qualitative and quantitative data related to COVID and non-COVID challenges are being collected via surveys and meetings with healthcare system staff. Strategies implemented to address challenges and fidelity to TCM's core components are also being assessed. Analyses of quantitative (established metrics to evaluate TCM's core components) and qualitative data (barriers and facilitators to implementation) are being conducted independently. These datasets are then merged and interpreted together. General linear and mixed effects modeling using all merged data and patients' socio-demographic and social determinants of health characteristics, will be used to examine relationships between key variables and fidelity rates. Implications of study findings in the context of COVID-19 and future research opportunities are suggested. Trial registration: ClinicalTrials.gov Identifier: NCT04212962.

Antibiotic exposure is associated with decreased risk of psychiatric disorders.

Objective: This study sought to investigate the relationship between antibiotic exposure and subsequent risk of psychiatric disorders. Methods: This retrospective cohort study used a national database of 69 million patients from 54 large healthcare organizations. We identified a cohort of 20,214 (42.5% male; 57.9 ± 15.1 years old [mean ± SD]) adults without prior neuropsychiatric diagnoses who received antibiotics during hospitalization. Matched controls included 41,555 (39.6% male; 57.3 ± 15.5 years old) hospitalized adults without antibiotic exposure. The two cohorts were balanced for potential confounders, including demographics and variables with potential to affect: the microbiome, mental health, medical comorbidity, and overall health status. Data were stratified by age and by sex, and outcome measures were assessed starting 6 months after hospital discharge. Results: Antibiotic exposure was consistently associated with a significant decrease in the risk of novel mood disorders and anxiety and stressor-related disorders in: men (mood (OR 0.84, 95% CI 0.77, 0.91), anxiety (OR 0.88, 95% CI 0.82, 0.95), women (mood (OR 0.94, 95% CI 0.89,1.00), anxiety (OR 0.93, 95% CI 0.88, 0.98), those who are 26-49 years old (mood (OR 0.87, 95% CI 0.80, 0.94), anxiety (OR 0.90, 95% CI 0.84, 0.97)), and in those ≥50 years old (mood (OR 0.91, 95% CI 0.86, 0.97), anxiety (OR 0.92, 95% CI 0.87, 0.97). Risk of intentional harm and suicidality was decreased in men (OR 0.73, 95% CI 0.55, 0.98) and in those ≥50 years old (OR 0.67, 95% CI 0.49, 0.92). Risk of psychotic disorders was also decreased in subjects ≥50 years old (OR 0.83, 95 CI: 0.69, 0.99). Conclusion: Use of antibiotics in the inpatient setting is associated with protective effects against multiple psychiatric outcomes in an age- and sex-dependent manner.

Older Adult and Family Caregiver Perspectives on Engagement in Primary Care.

The purpose of the current in-depth qualitative study was to explore the experiences of older adults and family caregivers in primary care. Twenty patients and caregivers from six Comprehensive Primary Care Plus (CPC+) practices' Patient and Family Advisory Councils within a large academic health system participated in telephone interviews from December 2018 to May 2019. Participants were mostly women (60%), with an average age of 71 years and nine chronic conditions. Transcripts were coded using conventional content analysis. Two key themes emerged related to person-centered care (PCC): Engagement in Health Care and Patient-Provider Relationship. Engagement in health care was defined by participants as: being proactive, centering on patient goals in treatment discussions, adherence, and self-triaging. Approximately all participants discussed the importance of the relationship and interactions with their provider as influencing their engagement. The identified themes offer recommendations for further improvement of primary PCC. [Journal of Gerontological Nursing, 48(11), 7-13.].

Medical Complexity Mediates Healthcare Resource Use in the Socially Vulnerable.

GOAL: The objective of this retrospective, observational study was to assess the mediating effect of medical complexity on the relationship between social vulnerability and four acute care resource use outcomes-number of hospitalizations, emergency department (ED) visits, observation stays, and total visits. Such information may help healthcare managers better anticipate the effects of interventions targeted to the socially vulnerable in their patient population. METHODS: Electronic health records of 147,496 adults served by 27 primary care practices in one large health system from 2015 to 2017 were used. Descriptive statistics were applied to characterize patients and the primary care practices included in the study. Causal mediation analyses using a modified Baron and Kenny approach were performed. PRINCIPAL FINDINGS: Causal mediation analyses demonstrated that increased social vulnerability was associated with increased medical complexity (incidence rate ratio [IRR] = 1.57) and increased numbers of hospitalizations (IRR = 1.63), ED visits (IRR = 2.14), observation stays (IRR = 1.94), and total visits (IRR = 2.04). Effects remained significant, though attenuated, after adjusting for medical complexity (mediator), demographics, and medications (hospitalizations IRR = 1.44, ED visits IRR = 2.02, observation stays IRR = 1.74, total visits IRR = 1.86). Social vulnerability, given medical complexity, explained between 8% (ED visits) and 26% (hospitalizations) of the variation in outcomes. PRACTICAL APPLICATIONS: These findings reinforce the need to modify interventions for medically complex adults to address their social needs and, consequently, reduce costly health services. Health systems seeking to reduce costly care can use these results to estimate savings in the treatment of patients with high social vulnerability-before they get chronic conditions and later as they seek care.

Quality of Life of Mothers of Infants Subjected to Neonatal Cardiac Surgery: The Importance of Psychosocial Factors.

Background: The World Health Organization acknowledges quality of life (QOL) as subjectively perceived overall well-being by the individual and recognizes it as an essential construct for overall health and wellness. The purpose of this study was to examine the association of infant, environmental, and parental factors with the QOL of mothers of infants at four months post-hospital discharge from cardiac surgery. Methods: Secondary analysis of prospectively collected data from the REACH randomized clinical trial of telehealth home monitoring. The sample included mothers (n = 148) of infants with congenital heart disease who provided data at four months post-discharge. Ten imputations were generated using fully conditional specification methods to address missing data and were combined. All analyses were performed on the imputed data. Mothers' QOL was the main outcome of the analysis, as measured by the Ulm Quality of Life Inventory for Parents. Predictors on QOL were identified based on the World Health Organization QOL framework which recognizes the multidimensional domains influencing QOL that include personal factors, environmental factors, and physical factors related to disease and functioning. Results: The treatment and control groups did not differ on any study variable, thus data were collapsed and analyzed together. Final multivariable model found that the combination of dyadic adjustment, social support, parenting stress, and post-traumatic stress symptoms explained approximately three-quarters of the variance in QOL scores. Conclusions: QOL for mothers of infants with congenital heart disease is largely influenced by psychosocial factors. Future research targeted toward improving maternal QOL should include psychosocial interventions that address social networks and stress.