Covariate-constrained randomization in cluster randomized 2x2 factorial trials: Application to a diabetes prevention study.

Background: Cluster randomized trials (CRTs) are randomized trials where randomization takes place at an administrative level (e.g., hospitals, clinics, or schools) rather than at the individual level. When the number of available clusters is small, researchers may not be able to rely on simple randomization to achieve balance on cluster-level covariates across treatment conditions. If these cluster-level covariates are predictive of the outcome, covariate imbalance may distort treatment effects, threaten internal validity, lead to a loss of power, and increase the variability of treatment effects. Covariate-constrained randomization (CR) is a randomization strategy designed to reduce the risk of imbalance in cluster-level covariates when performing a CRT. Existing methods for CR have been developed and evaluated for two- and multi-arm CRTs but not for factorial CRTs. Methods: Motivated by the BEGIN study-a CRT for weight loss among patients with pre-diabetes-we develop methods for performing CR in 2x2 factorial cluster randomized trials. We apply our methods to the BEGIN study and use simulation to assess the performance of CR versus simple randomization for estimating treatment effects by varying the number of clusters, the degree to which clusters are associated with the outcome, the distribution of cluster level covariates, and analysis strategies. Results: Compared to simple randomization of clusters, CR in the factorial setting is effective at achieving balance across cluster-level covariates between treatment conditions and provides more precise inferences. When cluster-level covariates are included in the analyses model, CR also results in greater power to detect treatment effects, but power is low compared to unadjusted analyses when the number of clusters is small. Conclusions: CR should be used instead of simple randomization when performing factorial CRTs to avoid highly imbalanced designs and to obtain more precise inferences. Except when there are a small number of clusters, cluster-level covariates should be included in the analysis model to increase power and maintain coverage and Type 1 error rates at their nominal levels.

Psychotropic Medication Use and Polypharmacy Among Children and Adolescents Initiating Intensive Behavioral Therapy for Severe Challenging Behavior.

OBJECTIVE: To evaluate the prevalence, trends, and factors associated with psychotropic medication use and polypharmacy among children and adolescents initiating intensive behavioral therapy for severe challenging behavior over a 10-year period. STUDY DESIGN: In this retrospective observational study, we examined data from caregiver interviews and patient medical records on the number and types of psychotropic medications prescribed to patients initiating intensive behavioral therapy between January 1, 2013, and December 31, 2022. Trends in medication use and polypharmacy across the 10-year period were analyzed using regression analysis, while differences in demographics and clinical factors for patients with use and polypharmacy were analyzed using nonparametric statistical analysis with odds ratios presented for significant factors. RESULTS: Data from all 302 pediatric patients initiating intensive behavioral therapy across the 10-year period were analyzed. Among all patients and all years, 83.8% were taking at least 1 psychotropic medication and 68.2% experienced polypharmacy. There were no changes in the prevalence of use, mean number of medications taken, or polypharmacy across the 10-year period. Patients diagnosed with attention-deficit/hyperactivity disorder or anxiety disorder, as well as those exhibiting self-injurious behavior had higher use of psychotropic medication and polypharmacy and were taking more medications overall. CONCLUSIONS: Psychotropic medication use and polypharmacy were extremely high for children and adolescents with severe challenging behavior, but use and polypharmacy did not change over the 10-year period of data collection. Further research is needed to establish the generality of these findings to other regions of the US.

Mand Modality Preference Assessments among High- and Low-Tech Options for Individuals with Intellectual and Developmental Disabilities: A Systematic Review.

The extant literature demonstrates that individuals with intellectual and developmental disabilities (IDD) exhibit preferences among communication modalities when multiple modalities are available and produce reinforcement on identical reinforcement schedules. High- and low-tech communication options, such as voice output devices and picture cards, are commonly recommended for individuals with limited vocal communication skills. In this study, we conducted a systematic literature review of research studies that implemented mand modality preference assessments (MMPAs) that included both a high- and low-tech communication option with individuals with IDD. We identified 27 studies meeting our inclusion criteria and summarized the participant demographics, MMPA design and procedural variations, and MMPA outcomes. The results suggested that high-tech communication options were generally more preferred over low-tech options. However, there was a high degree of variability in how the studies were conducted and conclusions were reached. We discuss some of the current research gaps and the implications for clinical practice.

Use of hare bone for the manufacture of a Clovis bead.

A tubular bone bead dating to ~ 12,940 BP was recovered from a hearth-centered activity area at the La Prele Mammoth site in Converse County, Wyoming, USA. This is the oldest known bead from the Western Hemisphere. To determine the taxonomic origin of the bead, we extracted collagen for zooarchaeology by mass spectrometry (ZooMS). We also used micro-CT scanning for morphological analysis to determine likely skeletal elements used for its production. We conclude that the bead was made from a metapodial or proximal phalanx of a hare (Lepus sp.). This find represents the first secure evidence for the use of hares during the Clovis period. While the use of hare bone for the manufacture of beads was a common practice in western North America during the Holocene, its origins can now be traced back to at least the terminal Pleistocene.

A comparative effectiveness trial of functional behavioral assessment methods.

Clinicians report primarily using functional behavioral assessment (FBA) methods that do not include functional analyses. However, studies examining the correspondence between functional analyses and other types of FBAs have produced inconsistent results. In addition, although functional analyses are considered the gold standard, their contribution toward successful treatment compared with other FBA methods remains unclear. This comparative effectiveness study, conducted with 57 young children with autism spectrum disorder, evaluated the results of FBAs that did (n = 26) and did not (n = 31) include a functional analysis. Results of FBAs with and without functional analyses showed modest correspondence. All participants who completed functional communication training achieved successful outcomes regardless of the type of FBA conducted.

Association Between ICD-10 Codes for Social Needs and Subsequent Emergency and Inpatient Use.

BACKGROUND: International Classification of Diseases, 10th revision Z codes capture social needs related to health care encounters and may identify elevated risk of acute care use. OBJECTIVES: To examine associations between Z code assignment and subsequent acute care use and explore associations between social need category and acute care use. RESEARCH DESIGN: Retrospective cohort study. SUBJECTS: Adults continuously enrolled in a commercial or Medicare Advantage plan for ≥15 months (12-month baseline, 3-48 month follow-up). OUTCOMES: All-cause emergency department (ED) visits and inpatient admissions during study follow-up. RESULTS: There were 352,280 patients with any assigned Z codes and 704,560 sampled controls with no Z codes. Among patients with commercial plans, Z code assignment was associated with a 26% higher rate of ED visits [adjusted incidence rate ratio (aIRR) 1.26, 95% CI: 1.25-1.27] and 42% higher rate of inpatient admissions (aIRR 1.42, 95% CI: 1.39-1.44) during follow-up. Among patients with Medicare Advantage plans, Z code assignment was associated with 42% (aIRR 1.42, 95% CI: 1.40-1.43) and 28% (aIRR 1.28, 95% CI: 1.26-1.30) higher rates of ED visits and inpatient admissions, respectively. Within the Z code group, relative to community/social codes, socioeconomic Z codes were associated with higher rates of inpatient admissions (commercial: aIRR 1.10, 95% CI: 1.06-1.14; Medicare Advantage: aIRR 1.24, 95% CI 1.20-1.27), and environmental Z codes were associated with lower rates of both primary outcomes. CONCLUSIONS: Z code assignment was independently associated with higher subsequent emergency and inpatient utilization. Findings suggest Z codes' potential utility for risk prediction and efforts targeting avoidable utilization.

Giotto Suite: a multi-scale and technology-agnostic spatial multi-omics analysis ecosystem.

Emerging spatial omics technologies continue to advance the molecular mapping of tissue architecture and the investigation of gene regulation and cellular crosstalk, which in turn provide new mechanistic insights into a wide range of biological processes and diseases. Such technologies provide an increasingly large amount of information content at multiple spatial scales. However, representing and harmonizing diverse spatial datasets efficiently, including combining multiple modalities or spatial scales in a scalable and flexible manner, remains a substantial challenge. Here, we present Giotto Suite, a suite of open-source software packages that underlies a fully modular and integrated spatial data analysis toolbox. At its core, Giotto Suite is centered around an innovative and technology-agnostic data framework embedded in the R software environment, which allows the representation and integration of virtually any type of spatial omics data at any spatial resolution. In addition, Giotto Suite provides both scalable and extensible end-to-end solutions for data analysis, integration, and visualization. Giotto Suite integrates molecular, morphology, spatial, and annotated feature information to create a responsive and flexible workflow for multi-scale, multi-omic data analyses, as demonstrated here by applications to several state-of-the-art spatial technologies. Furthermore, Giotto Suite builds upon interoperable interfaces and data structures that bridge the established fields of genomics and spatial data science, thereby enabling independent developers to create custom-engineered pipelines. As such, Giotto Suite creates an immersive ecosystem for spatial multi-omic data analysis.

Degree of articular injury as measured by CT cross sectional area is associated with physical function following the treatment of bicondylar tibial plateau fractures.

BACKGROUND: Bicondylar tibial plateau fractures are complex injuries that commonly require surgical repair. Long-term clinical outcome has been associated with discrepancies in leg alignment, instability and condylar width abnormalities. While intuitive, the degree of articular damage at time of injury has not been linked to outcomes in patients with bicondylar tibial plateau fractures. The aim of this study was to quantify percentage of articular surface cross sectional area disruption and assess for correlation between the degree of articular injury and patient reported physical function. METHODS: Retrospective cohort study at two level 1 trauma centers. 57 consecutive patients undergoing surgical repair for bicondylar tibial plateau fractures between 2013 and 2016. MAIN OUTCOME MEASURE: Preoperative CT scans were reviewed, and the percentage of articular surface disruption cross sectional area was calculated. PROMIS® scores were collected from patients at a minimum of 2 years. RESULTS: 57 patients with an average age of 58 ± 14.3 years were included. The average PROMIS® score was 45.5. There was a correlation between percentage of articular surface disruption and total PROMIS® scores (0.4, CI: 0.2-0.5, p = .007) and the physical function of the PROMIS® score (0.4, CI: 0.2-0.6, p < .001). CONCLUSION: Our method for calculating articular surface disruption on CT is a simple, reproducible and accurate method for assessing the degree of articular damage in patients with bicondylar tibial plateau fractures. We found that the percentage of cross-sectional articular surface disruption correlates with patient reported outcomes and physical function.

Surgical admission secondary to perigastric appendagitis: an uncommon cause of acute epigastric pain.

A patient in her late 20s presented with severe epigastric pain. A CT scan of the abdomen and pelvis was performed to exclude an upper gastrointestinal perforation. This showed findings of perigastric appendagitis. This is a rare cause of severe upper abdominal pain. The patient was treated with oral and intravenous analgesia medication and discharged the next day. No surgical intervention was required.

Clinical performance and health equity implications of the American Diabetes Association's 2023 screening recommendation for prediabetes and diabetes.

Introduction: The American Diabetes Association (ADA) recommends screening for prediabetes and diabetes (dysglycemia) starting at age 35, or younger than 35 years among adults with overweight or obesity and other risk factors. Diabetes risk differs by sex, race, and ethnicity, but performance of the recommendation in these sociodemographic subgroups is unknown. Methods: Nationally representative data from the National Health and Nutrition Examination Surveys (2015-March 2020) were analyzed from 5,287 nonpregnant US adults without diagnosed diabetes. Screening eligibility was based on age, measured body mass index, and the presence of diabetes risk factors. Dysglycemia was defined by fasting plasma glucose ≥100mg/dL (≥5.6 mmol/L) or haemoglobin A1c ≥5.7% (≥39mmol/mol). The sensitivity, specificity, and predictive values of the ADA screening criteria were examined by sex, race, and ethnicity. Results: An estimated 83.1% (95% CI=81.2-84.7) of US adults were eligible for screening according to the 2023 ADA recommendation. Overall, ADA's screening criteria exhibited high sensitivity [95.0% (95% CI=92.7-96.6)] and low specificity [27.1% (95% CI=24.5-29.9)], which did not differ by race or ethnicity. Sensitivity was higher among women [97.8% (95% CI=96.6-98.6)] than men [92.4% (95% CI=88.3-95.1)]. Racial and ethnic differences in sensitivity and specificity among men were statistically significant (P=0.04 and P=0.02, respectively). Among women, guideline performance did not differ by race and ethnicity. Discussion: The ADA screening criteria exhibited high sensitivity for all groups and was marginally higher in women than men. Racial and ethnic differences in guideline performance among men were small and unlikely to have a significant impact on health equity. Future research could examine adoption of this recommendation in practice and examine its effects on treatment and clinical outcomes by sex, race, and ethnicity.

Screening for Prediabetes and Diabetes in a National Network of Federally Qualified Health Centers: An Observational Study.

BACKGROUND: In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended screening for prediabetes and diabetes among adults aged 35-70 years with overweight or obesity. Studying dysglycemia screening in federally qualified health centers (FQHCs) that serve vulnerable patient populations is needed to understand health equity implications of this recommendation. OBJECTIVE: To investigate screening practices among FQHC patients who would be eligible according to the 2021 USPSTF recommendation. DESIGN: Retrospective cohort study analyzing electronic health records from a national network of 282 FQHC sites. PARTICIPANTS: We included 183,329 patients without prior evidence of prediabetes or diabetes, who had ≥ 1 office visit from 2018-2020. MAIN MEASURES: Screening eligibility was based on age and measured body mass index (BMI). The primary outcome, screening completion, was ascertained using hemoglobin A1c or fasting plasma glucose results from 2018-2020. KEY RESULTS: Among 89,543 patients who would be eligible according to the 2021 USPSTF recommendation, 53,263 (59.5%) were screened. Those who completed screening had higher BMI values than patients who did not (33.0 ± 6.7 kg/m2 vs. 31.9 ± 6.2 kg/m2, p < 0.001). Adults aged 50-64 years had greater odds of screening completion relative to younger patients (OR 1.13, 95% CI: 1.10-1.17). Patients from racial and ethnic minority groups, as well as those without health insurance, were more likely to complete screening than White patients and insured patients, respectively. Clinical risk factors for diabetes were also associated with dysglycemia screening. Among patients who completed screening, 23,588 (44.3%) had values consistent with prediabetes or diabetes. CONCLUSIONS: Over half of FQHC patients who would be eligible according to the 2021 USPSTF recommendation were screened. Screening completion was higher among middle-aged patients, those with greater BMI values, as well as vulnerable groups with a high risk of developing diabetes. Future research should examine adoption of the 2021 USPSTF screening recommendation and its impact on health equity.

Medication Dosing Schedules, Medication Knowledge, and Dosing Errors of Adults Taking Complex Drug Regimens.

This study examined how patients take complex medication regimens at home. Participants were primary care patients, 21 years or older, and prescribed three or more medications. Interviews assessed medication dosing schedules, medication knowledge, and dosing errors. Participants (N=441) were middle aged (mean 56.9); the majority were Hispanic/Latino (73.4%), had limited English proficiency (59.0%), and had limited health literacy (89.0%). One in five participants dosed medication five or more times per day, although no participants in the sample had a label instructing them to take medication more than times times daily. On average, participants correctly identified the purpose of 65% of their medications. Half of participants made one or more dosing errors. Less than high school education and a regimen size of six or more medications were independently associated with less medication knowledge, whereas language discordant label instructions were associated with dosing errors. Screening for regimen dosing complication and interventions to simplify dosing schedules are needed.

Trends in Cardiovascular Health Counseling Among Postpartum Individuals.

Importance: Poor prepregnancy cardiovascular health (CVH) and adverse pregnancy outcomes (APOs) are key risk factors for subsequent cardiovascular disease (CVD) in birthing adults. The postpartum visit offers an opportunity to promote CVH among at-risk individuals. Objective: To determine prevalence, predictors, and trends in self-reported CVH counseling during the postpartum visit. Design, Setting, and Participants: Serial, cross-sectional analysis of data from 2016-2020 from the Pregnancy Risk Assessment Monitoring System (PRAMS), a nationally representative, population-based survey. The primary analysis included individuals who attended a postpartum visit 4 to 6 weeks after delivery with available data on receipt of CVH counseling, self-reported prepregnancy CVD risk factors (obesity, diabetes, and hypertension), and APOs (gestational diabetes, hypertensive disorders of pregnancy, and preterm birth) (N = 167 705 [weighted N = 8 714 459]). Exposures: Total number of CVD risk factors (0, 1, or ≥2 prepregnancy risk factors or APOs). Main Outcomes and Measures: Annual, age-adjusted prevalence of self-reported postpartum CVH counseling per 100 individuals, defined as receipt of counseling for healthy eating, exercise, and losing weight gained during pregnancy, was calculated overall and by number of CVD risk factors. Average annual percent change (APC) assessed trends in CVH counseling from 2016 through 2020. Data were pooled to calculate rate ratios (RRs) for counseling that compared individuals with and without CVD risk factors after adjustment for age, education, postpartum insurance, and delivery year. Results: From 2016 through 2020, prevalence of self-reported postpartum CVH counseling declined from 56.2 to 52.8 per 100 individuals among those with no CVD risk factors (APC, -1.4% [95% CI, -1.8% to -1.0%/y]), from 58.5 to 57.3 per 100 individuals among those with 1 risk factor (APC, -0.7% [95% CI, -1.3% to -0.1%/y]), and from 61.9 to 59.8 per 100 individuals among those with 2 or more risk factors (APC, -0.8% [95% CI, -1.3% to -0.3%/y]). Reporting receipt of counseling was modestly higher among individuals with 1 risk factor (RR, 1.05 [95% CI, 1.04 to 1.07]) and with 2 or more risk factors (RR, 1.11 [95% CI, 1.09 to 1.13]) compared with those who had no risk factors. Conclusions and Relevance: Approximately 60% of individuals with CVD risk factors or APOs reported receiving CVH counseling at their postpartum visit. Prevalence of reporting CVH counseling decreased modestly over 5 years.

Menu Calorie Label Use and Diet Quality: a Cross-Sectional Study.

INTRODUCTION: Menu calorie labeling has been implemented in food service businesses to promote healthy food choices; however, evidence is limited on whether label use is associated with healthier dietary intake. This study examined the association between menu calorie label use and diet quality and whether it varied by weight status. METHODS: Adults in the National Health and Nutrition Examination Survey 2017-2018 who visited restaurants were included. Menu calorie label use was categorized as did not notice labels, noticed labels, and used labels. Diet quality was measured using the Healthy Eating Index 2015 (maximum score 100) by two 24-hour diet recalls. The association between menu calorie label use and diet quality was examined using multiple linear regression and tested for effect modification by weight status. Data were collected during 2017-2018 and analyzed during 2022-2023. RESULTS: Of 3,312 participants (representing 195,167,928 U.S. adults), 43% did not notice labels, 30% noticed labels, and 27% used labels. Using labels was associated with 4.0 points (95% CI 2.2, 5.8) higher Healthy Eating Index 2015 scores than not noticing labels. Healthy Eating Index 2015 scores in those using labels were higher for adults with normal BMI (3.4 points; 95% CI=0.2, 6.7), overweight (6.5 points; 95% CI=3.6, 9.5), and obesity (3.0 points; 95% CI=1.0, 5.1) (p-interaction=0.0004) than those who did not notice labels. CONCLUSIONS: Using menu calorie labels was associated with modestly healthier diet quality than not noticing labels, regardless of weight status. This suggests that providing caloric information may help some adults with food decisions.

Clinician satisfaction and preference for central venous catheter systems promoting patient safety, ease-of-use and reduced clinician error.

OBJECTIVES: Central venous catheters (CVC) are frequently utilized with limited data on user preferences. A simulation/survey-based study was conducted among anesthesia providers to evaluate attitudes toward general CVC system attributes, and satisfaction with elements of the most-commonly used and a novel CVC system. METHODS: Forty providers completed a simulation using both CVC systems and a 29-item questionnaire, including multiple-choice, free-text, ranking, and Likert-like questions. Ranking scores were reported using a scale of 0 (least important/satisfactory) to 100 (most important/satisfactory). Statistical significances were evaluated via Wilcoxon signed-rank sum test. RESULTS: Participants chose (mean±SD) patient safety (83.9 ± 25.3), ease-of-use (64.6 ± 26.1), and reduced risk for error (61.1 ± 26.7) as the most important attributes when considering a CVC system. Satisfaction levels were significantly higher for the novel system: overall (p < 0.001), its ease-of-use (p < 0.001), tray layout/design (p < 0.001), and safety (p = 0.012). Mean satisfaction scores were significantly higher for the novel system's potential to reduce 5 of 7 common issues, including clinician error (p < 0.001), and contamination/infection (p < 0.001). CONCLUSION: Anesthesia providers preferred CVC systems promoting patient safety, ease-of-use and reduce clinician error. Significantly higher (p < 0.05) satisfaction scores were awarded to a novel system featuring a sequentially organized tray, enhanced labeling, and a guidewire funnel.

Design and rationale of behavioral nudges for diabetes prevention (BEGIN): A pragmatic, cluster randomized trial of text messaging and a decision aid intervention for primary care patients with prediabetes.

BACKGROUND: Among 96 million U.S. adults with prediabetes, adoption of evidence-based treatment to prevent diabetes remains low. Primary care represents an essential venue for preventing diabetes, yet providers in this setting have limited time to address prevention. This highlights the need for low-touch interventions that promote diabetes prevention and are not delivered by primary care providers. Text messaging and decision aids displaying disease risk and treatment information have improved outcomes in prior research. However, these approaches have not been definitively studied for managing prediabetes. METHODS: The Behavioral Nudges for Diabetes Prevention (BEGIN) trial is a pragmatic, cluster randomized trial testing the effectiveness of text messaging about diabetes prevention and a prediabetes decision aid. These interventions are being studied in 8 primary care clinics using a 2 × 2 factorial design, in which pairs of clinics are randomized in a 1:1:1:1 ratio to receive usual care, text messaging alone, prediabetes decision aid alone, or both interventions. A total of 656 patients are recruited to participate, receive the study interventions, and contribute data at baseline and 12 months. The primary outcome is 12-month weight change, and the secondary outcome is adoption of evidence-based treatment to prevent diabetes. Change in hemoglobin A1c is an exploratory outcome that will be assessed among participants with available values. CONCLUSION: Findings from the BEGIN trial will provide evidence about the effectiveness of two novel, low-touch interventions focused on diabetes prevention in primary care, where patients are diagnosed with prediabetes and there is little prior research. TRIAL REGISTRY: NCT04869917.

Screening for Prediabetes and Diabetes: Clinical Performance and Implications for Health Equity.

INTRODUCTION: In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended prediabetes and diabetes screening for asymptomatic adults aged 35-70 years with overweight/obesity, lowering the age from 40 years in its 2015 recommendation. The USPSTF suggested considering earlier screening in racial and ethnic groups with high diabetes risk at younger ages or lower BMI. This study examined the clinical performance of these USPSTF screening recommendations as well as alternative age and BMI cutoffs in the U.S. adult population overall, and separately by race and ethnicity. METHODS: Nationally representative data were collected from 3,243 nonpregnant adults without diagnosed diabetes in January 2017-March 2020 and analyzed from 2021 to 2022. Screening eligibility was based on age and measured BMI. Collectively, prediabetes and undiagnosed diabetes were defined by fasting plasma glucose ≥100 mg/dL or hemoglobin A1c ≥5.7%. The sensitivity, specificity, and predictive values of alternate screening criteria were examined overall, and by race and ethnicity. RESULTS: The 2021 criteria exhibited marginally higher sensitivity (58.6%, 95% CI=55.5, 61.6 vs 52.9%, 95% CI=49.7, 56.0) and lower specificity (69.3%, 95% CI=65.7, 72.2 vs 76.4%, 95% CI=73.3, 79.2) than the 2015 criteria overall, and within each racial and ethnic group. Screening at lower age and BMI thresholds resulted in even greater sensitivity and lower specificity, especially among Hispanic, non-Hispanic Black, and Asian adults. Screening all adults aged 35-70 years regardless of BMI yielded the most equitable performance across all racial and ethnic groups. CONCLUSIONS: The 2021 USPSTF screening criteria will identify more adults with prediabetes and diabetes in all racial and ethnic groups than the 2015 criteria. Screening all adults aged 35-70 years exhibited even higher sensitivity and performed most similarly by race and ethnicity, which may further improve early detection of prediabetes and diabetes in diverse populations.

Lower-Intensity Interventions for Prediabetes: A Systematic Review.

INTRODUCTION: Systematic reviews of interventions for diabetes prevention have focused on lifestyle interventions, including the Diabetes Prevention Program (DPP) and translations of the DPP. However, nationally, few people with prediabetes have joined or completed a DPP, with one cited barrier being committing to a yearlong program. This study was a systematic review to evaluate the effectiveness of lower-intensity lifestyle interventions for prediabetes on weight change, glycemia, and health behaviors. METHODS: English-language studies from PubMed, Embase, PsycINFO, and CINAHL from 2000 to February 23, 2022 were searched for RCTs of nonpregnant adults with prediabetes and elevated BMI and lower-intensity interventions (defined as ≤12 months and <14 sessions over 6 months). Two reviewers independently identified 11 trials, assessed study quality (using Cochrane risk-of-bias tool), and extracted data serially. A qualitative synthesis was conducted by outcome. RESULTS: Only 1 of 11 trials of lower-intensity interventions was of high quality (>80% follow-up rate and low risk of bias). This 6-month study compared an app with standardized dietary advice, showing a 3-kg greater body weight reduction and 0.2% greater reduction of HbA1c. DISCUSSION: The evidence on lower-intensity lifestyle interventions for diabetes prevention is limited by the small number and methodologic weaknesses of previous trials, and future research is needed in this area. Given the low uptake of and retention in evidence-based high-intensity programs, future work is needed to investigate the effectiveness of novel lower-intensity interventions offered with established DPP content of varying duration and intensity.

Using fNIRS to evaluate ADHD medication effects on neuronal activity: A systematic literature review.

Background: Functional near infrared spectroscopy (fNIRS) is a relatively non-invasive and inexpensive functional neuroimaging technique that has shown promise as a method for understanding the differences in neuronal activity associated with various neurodevelopmental conditions, including ADHD. Additionally, fNIRS has been suggested as a possible tool to understand the impact of psychotropic medications on brain activity in individuals with ADHD, but this approach is still in its infancy. Objective: The purpose of this systematic literature review was to synthesize the extant research literature on the use of fNIRS to assess the effects of ADHD medications on brain activity in children and adolescents with ADHD. Methods: A literature search following Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) guidelines was conducted for peer-reviewed articles related to ADHD, medication, and fNIRS in PsychInfo, Scopus, and PubMed electronic databases. Results: The search yielded 23 published studies meeting inclusion criteria. There was a high degree of heterogeneity in terms of the research methodology and procedures, which is explained in part by the distinct goals and approaches of the studies reviewed. However, there was also relative consistency in outcomes among a select group of studies that demonstrated a similar research focus. Conclusion: Although fNIRS has great potential to further our understanding of the effects of ADHD medications on the neuronal activity of children and adolescents with ADHD, the current research base is still relatively small and there are limitations and methodological inconsistencies that should be addressed in future studies.

Examining How Social Risk Factors Are Integrated Into Clinical Settings Using Existing Data: A Scoping Review.

PURPOSE: Integrating social care into clinical care requires substantial resources. Use of existing data through a geographic information system (GIS) has the potential to support efficient and effective integration of social care into clinical settings. We conducted a scoping literature review characterizing its use in primary care settings to identify and address social risk factors. METHODS: In December 2018, we searched 2 databases and extracted structured data for eligible articles that (1) described the use of GIS in clinical settings to identify and/or intervene on social risks, (2) were published between December 2013 and December 2018, and (3) were based in the United States. Additional studies were identified by examining references. RESULTS: Of the 5,574 articles included for review, 18 met study eligibility criteria: 14 (78%) were descriptive studies, 3 (17%) tested an intervention, and 1 (6%) was a theoretical report. All studies used GIS to identify social risks (increase awareness); 3 studies (17%) described interventions to address social risks, primarily by identifying relevant community resources and aligning clinical services to patients' needs. CONCLUSIONS: Most studies describe associations between GIS and population health outcomes; however, there is a paucity of literature regarding GIS use to identify and address social risk factors in clinical settings. GIS technology may assist health systems seeking to address population health outcomes through alignment and advocacy; its current application in clinical care delivery is infrequent and largely limited to referring patients to local community resources.