Inverse Probability Weights for Quasicontinuous Ordinal Exposures With a Binary Outcome: Method Comparison and Case Study.

Inverse probability weighting (IPW), a well-established method of controlling for confounding in observational studies with binary exposures, has been extended to analyses with continuous exposures. Methods developed for continuous exposures may not apply when the exposure is quasicontinuous because of irregular exposure distributions that violate key assumptions. We used simulations and cluster-randomized clinical trial data to assess 4 approaches developed for continuous exposures-ordinary least squares (OLS), covariate balancing generalized propensity scores (CBGPS), nonparametric covariate balancing generalized propensity scores (npCBGPS), and quantile binning (QB)-and a novel method, a cumulative probability model (CPM), in quasicontinuous exposure settings. We compared IPW stability, covariate balance, bias, mean squared error, and standard error estimation across 3,000 simulations with 6 different quasicontinuous exposures, varying in skewness and granularity. In general, CBGPS and npCBGPS resulted in excellent covariate balance, and npCBGPS was the least biased but the most variable. The QB and CPM approaches had the lowest mean squared error, particularly with marginally skewed exposures. We then successfully applied the IPW approaches, together with missing-data techniques, to assess how session attendance (out of a possible 15) in a partners-based clustered intervention among pregnant couples living with human immunodeficiency virus in Mozambique (2017-2022) influenced postpartum contraceptive uptake.

The Association Between Solid Organ Transplant and Recurrence of Acute Diverticulitis: A National Assessment.

OBJECTIVE: Compare rates and severity of recurrent acute diverticulitis in patients with and without solid organ transplant. SUMMARY BACKGROUND DATA: Immunocompromised solid organ transplant recipients have been considered higher risk for both recurrence and severity of acute diverticulitis. Current guidelines recommend an individualized approach for colectomy in these patients, but these are based on single-center data. METHODS: We identified patients with acute diverticulitis using the Merative MarketScan commercial claims data from 2014-2020. Patients were classified by history of solid organ transplant. The primary outcome was recurrence of acute diverticulitis with an associated antibiotic prescription ≥60 days from the initial episode. Secondary outcomes included hospitalization, colectomy, and ostomy in patients with recurrence. Analyses used inverse probability weighting to adjust for imbalances in covariates. RESULTS: Of 170,697 patients with evidence of acute diverticulitis, 442 (0.2%) had a history of solid organ transplantation. In the weighted cohort, among people who had not been censored at one year (n=515), 112 (22%; 95% CI 20%-25%) experienced a recurrence within the first year. Solid organ transplantation was not significantly associated with a risk of recurrence (HR 1.19; 95% CI 0.94-1.50). There was also no statistically significant difference in the hospitalization rate for recurrent diverticulitis. Restricting the analysis to hospitalized recurrences, there was no statistically significant difference observed in either length of stay or discharge status. CONCLUSIONS: In this national analysis of commercially-insured patients with acute diverticulitis we found no statistically significant differences in recurrence between those with and without a history of solid organ transplant. We do not support an aggressive colectomy strategy based on concern for increased recurrence rate and severity in a solid organ transplant population.

National Variation in Elective Colon Resection for Diverticular Disease.

OBJECTIVE: This study aims to characterize the extent of geographic variation in elective sigmoid resection for diverticulitis and to identify factors associated with observed variation. INTRODUCTION: National guidelines for treatment of recurrent diverticulitis fail to offer strong recommendations for or against surgical intervention. We hypothesize that healthcare market factors will be significantly associated with geographic variation in colon resection for diverticulitis, a discretionary surgical intervention. METHODS: We used Center for Medicare Services 100% inpatient Limited Data Set (LDS) files from January 2013 through September 2015 to calculate an observed to expected standardized colon resection ratio for each hospital referral region (HRR). We then analyzed patient, hospital-, and market-level factors associated with variation of colectomy. For each HRR, a Herfindahl-Hirschman index, a measure of market competition, was calculated. RESULTS: A total of 19,557 Medicare patients underwent an elective colon resection for diverticulitis at 2462 hospitals over the study period. Standardized colon resection ratios ranged from 0 in the Tuscaloosa HRR to 3.7 in the Royal Oak, MI HRR. Few patient factors were associated with variation, but a number of hospital factors (size, area, profit status, and critical access designation) all were associated with variation. In an analysis of market factors, increased surgeon density, and decreased market competition were associated with higher predicted rates of colon resection. CONCLUSION: We observed pronounced variation (excess of 3-fold) in standardized colon resection ratios for recurrent diverticulitis. Surgeon density and hospital level factors were strongly associated with this variation and may be the main drivers of colonic resection for diverticular disease. Further investigation and stronger national guidelines are needed to optimize patient selection for colectomy.

Evaluating dose delivered of a behavioral intervention for childhood obesity prevention: a secondary analysis.

BACKGROUND: Current recommendations for intensive behavioral interventions for childhood obesity treatment do not account for variable participant attendance, optimal duration of the intervention, mode of delivery (phone vs. face-to-face), or address obesity prevention among young children. A secondary analysis of an active one-year behavioral intervention for childhood obesity prevention was conducted to test how "dose delivered" was associated with body mass index z-score (BMI-Z) across 3 years of follow-up. METHODS: Parent-child pairs were eligible if they qualified for government assistance and spoke English or Spanish. Children were between three and 5 years old and were at risk for but not yet obese (BMI percentiles ≥50th and < 95th). The intended intervention dose was 18 h over 3-months via 12 face-to-face "intensive sessions" (90 min each) and 6.75 h over the next 9 months via 9 "maintenance phone calls" (45 min each). Ordinary least-squares multivariable regression was utilized to test for associations between dose delivered and child BMI-Z immediately after the 1-year intervention, and at 2-, and 3-year follow-up, including participants who were initially randomized to the control group as having "zero" dose. RESULTS: Among 610 parent-child pairs (intervention n = 304, control n = 306), mean child age was 4.3 (SD = 0.9) years and 51.8% were female. Mean dose delivered was 10.9 (SD = 2.5) of 12 intensive sessions and 7.7 (SD = 2.4) of 9 maintenance calls. Multivariable linear regression models indicated statistically significant associations of intensive face-to-face contacts (B = -0.011; 95% CI [- 0.021, - 0.001]; p = 0.029) and maintenance calls (B = -0.015; 95% CI [- 0.026, - 0.004]; p = 0.006) with lower BMI-Z immediately following the 1-year intervention. Their interaction was also significant (p = 0.04), such that parent-child pairs who received higher numbers of both face-to-face intensive sessions (> 6) and maintenance calls (> 8) were predicted to have lower BMI-Z. Sustained impacts were not statistically significant at 2- or 3-year follow-up. CONCLUSIONS: In a behavioral intervention for childhood obesity prevention, the combination of a modest dose of face-to-face sessions (> 6 h over 3 months) with sustained maintenance calls (> 8 calls over 9 months) was associated with improved BMI-Z at 1-year for underserved preschool aged children, but sustained impacts were not statistically significant at 2 or 3 year follow-up. CLINICAL TRIAL REGISTRATION: The trial was registered on ClinicalTrials.gov (NCT01316653) on March 16, 2011, which was prior to participant enrollment.

The Effect of a General Healthy Lifestyle Intervention Delivered Around Pregnancy on Gestational Weight Gain and Infant Growth.

OBJECTIVES: A life-course perspective emphasizes healthy behaviors before, during, and after pregnancy to support a multi-generational risk reduction in obesity for mothers and infants. Optimal timing, content, and dose of such interventions is not well defined. METHODS: We conducted a nested cohort within a randomized trial to evaluate whether a healthy lifestyle intervention around pregnancy led to a "spill-over effect," including a healthier rate (kg/week) of maternal gestational weight gain, and infant growth during the first year. Study enrollment began in 2012, follow-up data collection completed in 2018, and the data were analyzed in 2019. The intervention focused on healthy maternal diet and physical activity but not pregnancy weight or infant feeding. Outcome data were abstracted from electronic medical records. RESULTS: Of the 165 women who became pregnant, 114 enrolled in the nested cohort. The average pre-pregnancy BMI was 29.6 (SD 5.1) kg/m2. Mixed effects models suggested clinically insignificant differences in both the rate of gestational weight gain (-0.02 kg/week; 95% CI -0.09, 0.06) and the rate of infant growth (difference at 1 year: -0.002 kg/cm; 95% CI -0.009, 0.005). CONCLUSIONS FOR PRACTICE: A behavioral intervention that focused on overall maternal health delivered in the time around pregnancy did not result in a "spill-over effect" on healthy gestational weight gain or healthy infant growth during the first year of life. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01316653.

Predicting Early Emergence of Childhood Obesity in Underserved Preschoolers.

OBJECTIVE: To determine the magnitude of risk of factors that contribute to the emergence of childhood obesity among low-income minority children. STUDY DESIGN: We conducted a prospective cohort analysis of parent-child pairs with children aged 3-5 years who were nonobese (n = 605 pairs) who participated in a 3-year randomized controlled trial of a healthy lifestyle behavioral intervention. After baseline, height and weight were measured 5 times over 3 years to calculate body mass index (BMI) percentiles and classify children as normal, overweight, or obese. Multivariable logistic regression was used to estimate the odds of obesity after 36 months. Predictors included age, sex, birth weight, gestational age, months of breastfeeding, ethnicity, baseline child BMI, energy intake, physical activity, food security, parent baseline BMI, and parental depression. RESULTS: Among this predominantly low-income minority population, 66% (398/605) of children were normal weight at baseline and 34% (n = 207/605) were overweight. Among normal weight children at baseline, 24% (85/359) were obese after 36 months; among overweight children at baseline, 55% (n = 103/186) were obese after 36 months. Age at enrollment (OR 2.11, 95% CI 1.64-2.72), child baseline BMI (OR 3.37, 95% CI 2.51-4.54), and parent baseline BMI (OR for a 6-unit change 1.36, 95% CI 1.09-1.70) were significantly associated with the odds of becoming obese for children. CONCLUSIONS: The combination of child age, parent BMI, and child overweight as predictors of child obesity suggest a paradigm of family-centered obesity prevention beginning in early childhood, emphasizing the relevance of child overweight as a phenotype highly predictive of child obesity. TRIAL REGISTRATION: Clinicaltrials.gov: NCT01316653.

Use of the brief Confusion Assessment Method in a veteran palliative care population: A pilot validation study.

OBJECTIVE: Many patients with advanced serious illness or at the end of life experience delirium, a potentially reversible form of acute brain dysfunction, which may impair ability to participate in medical decision-making and to engage with their loved ones. Screening for delirium provides an opportunity to address modifiable causes. Unfortunately, delirium remains underrecognized. The main objective of this pilot was to validate the brief Confusion Assessment Method (bCAM), a two-minute delirium-screening tool, in a veteran palliative care sample. METHOD: This was a pilot prospective, observational study that included hospitalized patients evaluated by the palliative care service at a single Veterans' Administration Medical Center. The bCAM was compared against the reference standard, the Diagnostic and Statistical Manual of Mental Disorders, fifth edition. Both assessments were blinded and conducted within 30 minutes of each other. RESULT: We enrolled 36 patients who were a median of 67 years (interquartile range 63-73). The primary reasons for admission to the hospital were sepsis or severe infection (33%), severe cardiac disease (including heart failure, cardiogenic shock, and myocardial infarction) (17%), or gastrointestinal/liver disease (17%). The bCAM performed well against the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, for detecting delirium, with a sensitivity (95% confidence interval) of 0.80 (0.4, 0.96) and specificity of 0.87 (0.67, 0.96). SIGNIFICANCE OF RESULTS: Delirium was present in 27% of patients enrolled and never recognized by the palliative care service in routine clinical care. The bCAM provided good sensitivity and specificity in a pilot of palliative care patients, providing a method for nonpsychiatrically trained personnel to detect delirium.

Bagged one-to-one matching for efficient and robust treatment effect estimation.

Observational studies present challenges due to bias from imbalance in baseline confounders. One-to-one matching (OOM), a popular cohort-construction technique for observational studies, reduces bias and provides a compelling basis for inference but generally leads to at least some loss of efficiency due to the exclusion of potentially informative subjects. We introduce the bagged one-to-one matching (BOOM) estimator, which combines the bias-reducing properties of OOM with the variance-reducing properties of bootstrap aggregation (bagging). We describe the BOOM algorithm in detail, provide R code for its implementation, and investigate its performance in simulation studies and a case study. In the simulation studies, under different types of model misspecification, we compare the BOOM estimator's performance in terms of mean squared error, bias, variance, accuracy of standard error estimation, and coverage of nominal 95% confidence intervals to that of OOM and to that of ordinary least squares estimation, inverse probability weighting, and targeted maximum likelihood estimation, all on the full unmatched cohort. In our simulations, the BOOM estimator achieves as much bias reduction as the estimator based on OOM, while having much lower variance. In all of the settings examined in the simulations, the BOOM's mean squared error is comparable to or better than that of the comparison methods. In the case study, BOOM yields estimates similar to those from the established methods, with narrower 95% confidence intervals.

The dose of behavioral interventions to prevent and treat childhood obesity: a systematic review and meta-regression.

BACKGROUND: A better understanding of the optimal "dose" of behavioral interventions to affect change in weight-related outcomes is a critical topic for childhood obesity intervention research. The objective of this review was to quantify the relationship between dose and outcome in behavioral trials targeting childhood obesity to guide future intervention development. METHODS: A systematic review and meta-regression included randomized controlled trials published between 1990 and June 2017 that tested a behavioral intervention for obesity among children 2-18 years old. Searches were conducted among PubMed (Web-based), Cumulative Index to Nursing and Allied Health Literature (EBSCO platform), PsycINFO (Ovid platform) and EMBASE (Ovid Platform). Two coders independently reviewed and abstracted each included study. Dose was extracted as intended intervention duration, number of sessions, and length of sessions. Standardized effect sizes were calculated from change in weight-related outcome (e.g., BMI-Z score). RESULTS: Of the 258 studies identified, 133 had sufficient data to be included in the meta-regression. Average intended total contact (# sessions x length of sessions) was 27.7 (SD 32.2) hours and average duration was 26.0 (SD 23.4) weeks. When controlling for study covariates, a random-effects meta-regression revealed no significant association between contact hours, intended duration or their interaction and effect size. CONCLUSIONS: This systematic review identified wide variation in the dose of behavioral interventions to prevent and treat pediatric obesity, but was unable to detect a clear relationship between dose and weight-related outcomes. There is insufficient evidence to provide quantitative guidance for future intervention development. One limitation of this review was the ability to uniformly quantify dose due to a wide range of reporting strategies. Future trials should report dose intended, delivered, and received to facilitate quantitative evaluation of optimal dose. TRIAL REGISTRATIONS: The protocol was registered on PROSPERO (Registration # CRD42016036124 ).

Associations between Verbal Learning Slope and Neuroimaging Markers across the Cognitive Aging Spectrum.

A symptom of mild cognitive impairment (MCI) and Alzheimer's disease (AD) is a flat learning profile. Learning slope calculation methods vary, and the optimal method for capturing neuroanatomical changes associated with MCI and early AD pathology is unclear. This study cross-sectionally compared four different learning slope measures from the Rey Auditory Verbal Learning Test (simple slope, regression-based slope, two-slope method, peak slope) to structural neuroimaging markers of early AD neurodegeneration (hippocampal volume, cortical thickness in parahippocampal gyrus, precuneus, and lateral prefrontal cortex) across the cognitive aging spectrum [normal control (NC); (n=198; age=76±5), MCI (n=370; age=75±7), and AD (n=171; age=76±7)] in ADNI. Within diagnostic group, general linear models related slope methods individually to neuroimaging variables, adjusting for age, sex, education, and APOE4 status. Among MCI, better learning performance on simple slope, regression-based slope, and late slope (Trial 2-5) from the two-slope method related to larger parahippocampal thickness (all p-values<.01) and hippocampal volume (p<.01). Better regression-based slope (p<.01) and late slope (p<.01) were related to larger ventrolateral prefrontal cortex in MCI. No significant associations emerged between any slope and neuroimaging variables for NC (p-values ≥.05) or AD (p-values ≥.02). Better learning performances related to larger medial temporal lobe (i.e., hippocampal volume, parahippocampal gyrus thickness) and ventrolateral prefrontal cortex in MCI only. Regression-based and late slope were most highly correlated with neuroimaging markers and explained more variance above and beyond other common memory indices, such as total learning. Simple slope may offer an acceptable alternative given its ease of calculation.

The Combined Effects of Social Determinants of Health on Childhood Overweight and Obesity.

Background: To characterize the association between multiple social determinants of health (SDOH) and overweight and obesity among US children. Methods: We conducted a cross-sectional analysis using the 2016-2020 National Survey of Children's Health. SDOH domains consisted of Economic Stability, Social and Community Context, Neighborhood and Built Environment, and Health Care Access and Quality. We used ordinal logistic regression to model associations between SDOH and weight status and calculate predicted probabilities of having overweight or obesity for various SDOH profiles. Results: Data from 81,716 children represented a weighted sample of 29,415,016 children ages 10-17 years in the United States. Of these, 17% had overweight and 17% had obesity. Compared with children with the theoretically lowest-risk SDOH profile, children with the highest-risk SDOH profiles in all four domains had an odds ratio of having a higher BMI category of 4.38 (95% confidence interval 1.67-7.09). For the lowest risk profile, the predicted probability of obesity varied from 8% to 11%, depending on race. For the highest risk profile, the predicted probability of obesity varied from 26% to 34%, depending on race. Conclusions: While high-risk values in each SDOH domain were associated with higher predicted probability of overweight and obesity, it was the combination of highest risk values in all the SDOH domains that led to greatest increases. This suggests a complex and multilayered relationship between the SDOH and childhood obesity, necessitating a comprehensive approach to addressing health equity to reduce childhood obesity.

The Associations between Neighborhood Characteristics and Childhood Overweight and Obesity in a National Dataset.

BACKGROUND: National child obesity rates continue to climb. While neighborhood factors are known to influence childhood weight, more work is needed to further our understanding of these relationships and inform intervention and policy approaches reflective of complex real-world contexts. METHODS: To evaluate the associations between neighborhood components and childhood overweight/obesity, we analyzed sequential, cross-sectional data from the National Survey of Children's Health collected annually between 2016 and 2021. To characterize the complexity of children's neighborhood environments, several interrelated neighborhood factors were examined: amenities, detractions, support, and safety. We used ordinal logistic regression models to evaluate the associations between these exposures of interest and childhood weight status, adjusting for potential confounders. RESULTS: Our analytic sample contained 96,858 children representing a weighted population of 28,228,799 children ages 10-17 years. Child weight status was healthy in 66.5%, overweight in 16.8%, and obese in 17.2%. All four neighborhood factors were associated with child weight status. The odds of overweight or obesity generally increased with a decreasing number of amenities and increasing number of detractions, with the highest adjusted odds ratio seen with no amenities and all three possible detractions (1.71; 95% confidence interval [1.31, 2.11]). CONCLUSIONS: Multiple factors within a child's neighborhood environment were associated with child weight status in this sample representative of the US population aged 10-17 years. This suggests the need for future research into how policies and programs can support multiple components of a healthy neighborhood environment simultaneously to reduce rates of childhood overweight/obesity.

Sex Differences in Health Conditions Associated with Sexual Assault in a Large Hospital Population.

Introduction: Sexual assault is an urgent public health concern with both immediate and long-lasting health consequences, affecting 44% of women and 25% of men during their lifetimes. Large studies are needed to understand the unique healthcare needs of this patient population. Methods: We mined clinical notes to identify patients with a history of sexual assault in the electronic health record (EHR) at Vanderbilt University Medical Center (VUMC), a large university hospital in the Southeastern USA, from 1989 to 2021 (N = 3,376,424). Using a phenome-wide case-control study, we identified diagnoses co-occurring with disclosures of sexual assault. We performed interaction tests to examine whether sex modified any of these associations. Association analyses were restricted to a subset of patients receiving regular care at VUMC (N = 833,185). Results: The phenotyping approach identified 14,496 individuals (0.43%) across the VUMC-EHR with documentation of sexual assault and achieved a positive predictive value of 93.0% (95% confidence interval = 85.6-97.0%), determined by manual patient chart review. Out of 1,703 clinical diagnoses tested across all subgroup analyses, 465 were associated with sexual assault. Sex-by-trauma interaction analysis revealed 55 sex-differential associations and demonstrated increased odds of psychiatric diagnoses in male survivors. Discussion: This case-control study identified associations between disclosures of sexual assault and hundreds of health conditions, many of which demonstrated sex-differential effects. The findings of this study suggest that patients who have experienced sexual assault are at risk for developing wide-ranging medical and psychiatric comorbidities and that male survivors may be particularly vulnerable to developing mental illness.

Ultra-processed food consumption and BMI-Z among children at risk for obesity from low-income households.

OBJECTIVE: To evaluate the association between baseline ultra-processed food consumption in early childhood and child BMI Z-score over 36 months. METHODS: We conducted a prospective cohort analysis as a secondary data analysis of the Growing Right Onto Wellness randomised trial. Dietary intake was measured via 24-h diet recalls. The primary outcome was child BMI-Z, measured at baseline and at 3-, 9-, 12-, 24- and 36-month timepoints. Child BMI-Z was modelled using a longitudinal mixed-effects model, adjusting for covariates and stratifying by age. RESULTS: Among 595 children, median (Q1-Q3) baseline age was 4.3 (3.6-5.0) years, 52.3% of the children were female, 65.4% had normal weight, 33.8% were overweight, 0.8% were obese and 91.3% of parents identified as Hispanic. Model-based estimates suggest that, compared with low ultra-processed consumption (300 kcals/day), high ultra-processed intake (1300 kcals/day) was associated with a 1.2 higher BMI-Z at 36 months for 3-year-olds (95% CI = 0.5, 1.9; p < 0.001) and a 0.6 higher BMI-Z for 4-year-olds (95% CI = 0.2, 1.0; p = 0.007). The difference was not statistically significant for 5-year-olds or overall. CONCLUSIONS: In 3- and 4-year-old children, but not in 5-year-old children, high ultra-processed food intake at baseline was significantly associated with higher BMI-Z at 36-month follow-up, adjusting for total daily kcals. This suggests that it might not be only the total number of calories in a child's daily intake that influences child weight status, but also the number of calories from ultra-processed foods.

Feasibility evaluation of the Reaching Out to Kids with Emotional Trauma (ROcKET) intervention in an elementary school: a single-arm, single-centre, feasibility study based on the RE-AIM framework.

OBJECTIVE: The study purpose was to describe feasibility of implementation of the Reaching Out to Kids with Emotional Trauma (ROcKET) intervention. We hypothesised that the ROcKET Intervention would be feasible in a poor resource school. DESIGN: We performed a single-arm, single-centr feasibility study of an intervention pilot, based on the RE-AIM framework. SETTING: The intervention was delivered in a single K-4th elementary charter school in the Nashville, TN area, in a low-resource community. PARTICIPANTS: 57 elementary school children attending our partner school and reporting exposure to at least one adverse childhood experience (ACE) and their parents. INTERVENTIONS: The Reaching Out to Kids with Emotional Trauma (ROcKET) intervention is a school-based multilevel intervention (individual child, family and school) that promotes positive health behaviours in children who have been exposed to ACEs. OUTCOMES: Outcomes were gathered qualitatively via focus groups. The primary outcome was feasibility. The secondary outcomes were implementation outcomes according to the RE-AIM framework, including Reach, Effectiveness, Adoption and Implementation. RESULTS: Of 105 eligible children, 57 children and their parents participated (54%) with 31 (54%) girls, 47 (82%) Black/African American, 5 (9%) Hispanic and 5 (9%) white. The school staff implemented all planned ROcKET sessions with >90% fidelity in each session, and 52 (91%) of children who completed the final intervention session went on to complete 6 month follow-up assessments. The average attendance at the in-school child sessions was 57 students (87%), and 35 (61%) of parents attended at least one family session, with 25 (44%) of parents attending at least half of the family sessions. 13 (23%) parents participated in the focus groups. Qualitative data suggested high parent participant satisfaction, uptake of positive health behaviours targeted by the intervention and increased quality of life. CONCLUSIONS: Our study suggests that the ROcKET intervention was feasible and acceptably delivered in a local elementary school with high reach to low-income and minority populations. These data suggest that schools, especially those serving low-income and minority children, can be an appropriate avenue for interventions designed to address health disparities. Data from this study will be used to advise a pilot study of the intervention.

Reliability and validity of assigning ultraprocessed food categories to 24-h dietary recall data.

BACKGROUND: The Nova classification system categorizes foods into 4 processing levels, including ultraprocessed foods (UPFs). Consumption of UPFs is extensive in the United States, and high UPF consumption is associated with chronic disease risk. A reliable and valid method to Nova-categorize foods would advance understanding of UPF consumption and its relationship to health outcomes. OBJECTIVES: Test the reliability and validity of training coders and assigning Nova categories to individual foods collected via 24-h dietary recalls. DESIGN: A secondary analysis of 24-h dietary recalls from 610 children who participated in a randomized controlled trial and were 3-5 y old at baseline was conducted. The Nutrition Data System for Research (NDSR) software was used to collect 2-3 dietary recalls at baseline and yearly for 3 y. Trained and certified coder pairs independently categorized foods into one of 4 Nova categories (minimally processed, processed culinary ingredients, processed, and ultraprocessed). Interrater reliability was assessed by percent concordance between coder pairs and by Cohen's κ coefficient. Construct validity was evaluated by comparing the average daily macronutrient content of foods between Nova categories. RESULTS: In 5546 valid recall days, 3099 unique foods were categorized: minimally processed (18%), processed culinary ingredients (0.4%), processed (15%), and ultraprocessed (67%). Coder concordance = 88.3%, and κ coefficient = 0.75. Descriptive comparisons of macronutrient content across 66,531 diet recall food entries were consistent with expectations. On average, UPFs were 62% (SD 19) of daily calories, and a disproportionally high percentage of daily added sugar (94%; SD 16) and low percentage of daily protein (47%; SD 24). Minimally processed foods were 30% (SD 17) of daily calories, and a disproportionally low percentage of daily added sugar (1%; SD 8) and high percentage of daily protein (43%; SD 24). CONCLUSIONS: This method of Nova classifying NDSR-based 24-h dietary recalls was reliable and valid for identifying individual intake of processed foods, including UPFs.

The Association of Organizational Readiness With Lung Cancer Screening Utilization.

INTRODUCTION: Lung cancer screening is widely underutilized. Organizational factors, such as readiness for change and belief in the value of change (change valence), may contribute to underutilization. The aim of this study was to evaluate the association between healthcare organizations' preparedness and lung cancer screening utilization. METHODS: Investigators cross-sectionally surveyed clinicians, staff, and leaders at10 Veterans Affairs from November 2018 to February 2021 to assess organizational readiness to implement change. In 2022, investigators used simple and multivariable linear regression to evaluate the associations between facility-level organizational readiness to implement change and change valence with lung cancer screening utilization. Organizational readiness to implement change and change valence were calculated from individual surveys. The primary outcome was the proportion of eligible Veterans screened using low-dose computed tomography. Secondary analyses assessed scores by healthcare role. RESULTS: The overall response rate was 27.4% (n=1,049), with 956 complete surveys analyzed: median age of 49 years, 70.3% female, 67.6% White, 34.6% clinicians, 61.1% staff, and 4.3% leaders. For each 1-point increase in median organizational readiness to implement change and change valence, there was an associated 8.4-percentage point (95% CI=0.2, 16.6) and a 6.3-percentage point increase in utilization (95% CI= -3.9, 16.5), respectively. Higher clinician and staff median scores were associated with increased utilization, whereas leader scores were associated with decreased utilization after adjusting for other roles. CONCLUSIONS: Healthcare organizations with higher readiness and change valence utilized more lung cancer screening. These results are hypothesis generating. Future interventions to increase organizations' preparedness, especially among clinicians and staff, may increase lung cancer screening utilization.

Colorectal cancer adjuvant chemotherapy trends among a nonelderly veteran cohort at a southern veterans health administration.

BACKGROUND: For patients with high-risk stage II or stage III colorectal cancer (CRC), adjuvant chemotherapy (AC) improves survival, yet use varies substantially across medical oncology settings. AIM: Utilization of guideline concordant CRC AC was assessed at a Veterans Health Administration (VHA) facility to determine quality improvement initiatives. METHODS AND RESULTS: The study was a retrospective review of CRC surgeries from January 1, 2000 to December 31, 2015 at a South Regional VHA. Inclusion criteria consisted of pathologic high-risk stage II or stage III CRC, with exclusion for age ≥80, age ≥75 hospitalized with major co-morbidity in the prior year, and death or discharge to hospice within 30 days of the index surgery. The primary predictor was year-group; partitioned 2000-2005, 2006-2010, 2011-2015 to account for changes in NCCN high risk stage II definitions. Primary outcome was AC receipt. Secondary outcome was reason for chemotherapy omission. Among 180 eligible surgeries (121 colon and 59 rectal cancers), patients were mostly male (96%), white (79%) and with median age 64 years. Overall, 117 (65%) received AC. Compared to 2000-2005, patients undergoing surgery between 2011 and 2015 were less likely to receive AC (odds ratio 0.35; 95% confidence interval [CI] 0.14-0.82), due to more patients declining AC (27% vs. 6%, p < .01) in the NCCN eligible cohort (N = 180), and (32% vs. 8%, p < .01) in an analysis of patients who completed appointments and had AC recommended by providers (N = 146). CONCLUSIONS: Survival benefitting AC decreased over time among a nonelderly Veteran cohort eligible for AC. Evaluating care decisions and trends within other VHA facilities and outside the VHA are warranted.