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.

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.

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.

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.

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.

Initiating second-line antidiabetic medication among older adults with type 2 diabetes on Metformin.

BACKGROUND: Antidiabetic medications (ADM), especially sulfonylureas (SFU) and basal insulin (BI), are associated with increased risk of hypoglycemia, which is especially concerning among older adults in poor health. The objective of this study was to investigate prescribing patterns of ADM in older adults according to their health status. METHODS: This case control study analyzed administrative claims between 2013 and 2017 from a large national payer. The study population was derived from a nationwide database of 84,720 U.S. adults aged ≥65, who were enrolled in Medicare Advantage health insurance plans. Participants had type 2 diabetes on metformin monotherapy, and started a second-line ADM during the study period. The exposure was a binary variable for health status, with poor health defined by end-stage medical conditions, dementia, or residence in a long-term nursing facility. The outcome was a variable identifying which second-line ADM class was started, categorized as SFU, BI, or other (i.e. all other ADM classes combined). RESULTS: Over half of participants (54%) received SFU as initial second-line ADM, 14% received BI, and 32% received another ADM. In multivariable models, the odds of filling SFU or BI was higher for participants in poor health than those in good or intermediate health [OR 1.13 (95% CI 1.05-1.21) and OR 2.34 (95% CI 2.14-2.55), respectively]. SFU and BI were also more commonly filled by older adults with poor glycemic control. CONCLUSIONS: Despite clinical consensus to use caution prescribing SFU and BI among older adults in poor health, these medications remain frequently used in this particularly vulnerable population.

Association of fasting glucose with lifetime risk of incident heart failure: the Lifetime Risk Pooling Project.

BACKGROUND: Given the rising prevalence of dysglycemia and disparities in heart failure (HF) burden, we determined race- and sex-specific lifetime risk of HF across the spectrum of fasting plasma glucose (FPG). METHODS: Individual-level data from adults without baseline HF was pooled from 6 population-based cohorts. Modified Kaplan-Meier analysis, Cox models adjusted for the competing risk of death, and Irwin's restricted mean were used to estimate the lifetime risk, adjusted hazard ratio (aHR), and years lived free from HF in middle-aged (40-59 years) and older (60-79 years) adults with FPG < 100 mg/dL, prediabetes (FPG 100-125 mg/dL) and diabetes (FPG ≥ 126 mg/dL or on antihyperglycemic agents) across race-sex groups. RESULTS: In 40,117 participants with 638,910 person-years of follow-up, 4846 cases of incident HF occurred. The lifetime risk of HF was significantly higher among middle-aged White adults and Black women with prediabetes (range: 6.1% [95% CI 4.8%, 7.4%] to 10.8% [95% CI 8.3%, 13.4%]) compared with normoglycemic adults (range: 3.5% [95% CI 3.0%, 4.1%] to 6.5% [95% CI 4.9%, 8.1%]). Middle-aged Black women with diabetes had the highest lifetime risk (32.4% [95% CI 26.0%, 38.7%]) and aHR (4.0 [95% CI 3.0, 5.4]) for HF across race-sex groups. Middle-aged adults with prediabetes and diabetes lived on average 0.9-1.6 and 4.1-6.0 fewer years free from HF, respectively. Findings were similar in older adults except older Black women with prediabetes did not have a higher lifetime risk of HF. CONCLUSIONS: Prediabetes was associated with higher lifetime risk of HF in middle-aged White adults and Black women, with the association attenuating in older Black women. Black women with diabetes had the highest lifetime risk of HF compared with other race-sex groups.

Trends in Gestational Diabetes at First Live Birth by Race and Ethnicity in the US, 2011-2019.

Importance: Gestational diabetes is associated with adverse maternal and offspring outcomes. Objective: To determine whether rates of gestational diabetes among individuals at first live birth changed from 2011 to 2019 and how these rates differ by race and ethnicity in the US. Design, Setting, and Participants: Serial cross-sectional analysis using National Center for Health Statistics data for 12 610 235 individuals aged 15 to 44 years with singleton first live births from 2011 to 2019 in the US. Exposures: Gestational diabetes data stratified by the following race and ethnicity groups: Hispanic/Latina (including Central and South American, Cuban, Mexican, and Puerto Rican); non-Hispanic Asian/Pacific Islander (including Asian Indian, Chinese, Filipina, Japanese, Korean, and Vietnamese); non-Hispanic Black; and non-Hispanic White. Main Outcomes and Measures: The primary outcomes were age-standardized rates of gestational diabetes (per 1000 live births) and respective mean annual percent change and rate ratios (RRs) of gestational diabetes in non-Hispanic Asian/Pacific Islander (overall and in subgroups), non-Hispanic Black, and Hispanic/Latina (overall and in subgroups) individuals relative to non-Hispanic White individuals (referent group). Results: Among the 12 610 235 included individuals (mean [SD] age, 26.3 [5.8] years), the overall age-standardized gestational diabetes rate significantly increased from 47.6 (95% CI, 47.1-48.0) to 63.5 (95% CI, 63.1-64.0) per 1000 live births from 2011 to 2019, a mean annual percent change of 3.7% (95% CI, 2.8%-4.6%) per year. Of the 12 610 235 participants, 21% were Hispanic/Latina (2019 gestational diabetes rate, 66.6 [95% CI, 65.6-67.7]; RR, 1.15 [95% CI, 1.13-1.18]), 8% were non-Hispanic Asian/Pacific Islander (2019 gestational diabetes rate, 102.7 [95% CI, 100.7-104.7]; RR, 1.78 [95% CI, 1.74-1.82]), 14% were non-Hispanic Black (2019 gestational diabetes rate, 55.7 [95% CI, 54.5-57.0]; RR, 0.97 [95% CI, 0.94-0.99]), and 56% were non-Hispanic White (2019 gestational diabetes rate, 57.7 [95% CI, 57.2-58.3]; referent group). Gestational diabetes rates were highest in Asian Indian participants (2019 gestational diabetes rate, 129.1 [95% CI, 100.7-104.7]; RR, 2.24 [95% CI, 2.15-2.33]). Among Hispanic/Latina participants, gestational diabetes rates were highest among Puerto Rican individuals (2019 gestational diabetes rate, 75.8 [95% CI, 71.8-79.9]; RR, 1.31 [95% CI, 1.24-1.39]). Gestational diabetes rates increased among all race and ethnicity subgroups and across all age groups. Conclusions and Relevance: Among individuals with a singleton first live birth in the US from 2011 to 2019, rates of gestational diabetes increased across all racial and ethnic subgroups. Differences in absolute gestational diabetes rates were observed across race and ethnicity subgroups.

Delivering Interventions Via Telehealth: Functional Communication Training with a Child with Autism as a Case Example.

In this article, we provide a case example of how telehealth can be used by care providers in their homes to access empirically validated procedures such as functional communication training. As shown in the case example, complex assessment and intervention procedures were implemented successfully by care providers in their homes while receiving real-time coaching by behavior analysts who were located in a hospital in a different city. This case example is representative of the results we obtained thus far; substantial improvements in challenging and adaptive behavior occurred. Given these results obtained to date with telehealth, in terms of both outcomes of interventions and rated acceptability of the procedures by care providers, further and more widespread application of telehealth is warranted.

Evidence and Challenges for Translation and Population Impact of the Diabetes Prevention Program.

PURPOSE OF REVIEW: Type 2 diabetes is common, burdensome, and preventable. Landmark trials such as the Diabetes Prevention Program (DPP) demonstrated that resource-intensive lifestyle support interventions resulting in modest weight loss via healthy diet changes and physical activity can lower the rate of diabetes development by 58%. We performed a review of efforts to translate and implement DPP-like programs throughout the USA to identify challenges and opportunities for improvement. RECENT FINDINGS: For more than a decade, multiple stakeholders have worked to translate evidence-based principles of diabetes prevention to reach 84 million Americans with prediabetes. DPP-like programs have been delivered by over 1500 organizations, reaching almost 300,000 people, but this number represents less than 1% of the target population. Research has uncovered large gaps in efforts to diagnose, raise awareness, and provide access to DPP-like programs for adults with prediabetes, requiring further stakeholder engagement and coordination to resolve. Efforts to address prevailing gaps in diabetes prevention must address distinct and sometimes conflicting priorities and concerns of stakeholders. Our review recommends several areas of further research and action to improve type 2 diabetes prevention on a population scale.

Diabetes Management in Community Health Centers: a Review of Policies and Programs.

PURPOSE OF REVIEW: Community health centers (CHCs) provide care to millions of vulnerable patients in the USA, including a disproportionate number with diabetes. Policies affecting diabetes management in CHCs therefore have broad implications for clinical practice and patient outcomes nationwide. We describe prior policies that have influenced diabetes management in CHCs, discuss current policies and programs, as well as present emerging innovations and future directions for diabetes care in this setting. RECENT FINDINGS: Domains for current diabetes policies and programs in CHCs include coverage requirements, quality reporting and incentives, prescription discounts, healthy behavior incentives, and team-based care. Policies in these areas affect the management of diabetes at multiple levels, from organizations that support CHCs to individual health centers, and the providers and patients based there. Several domains of interrelated policies and programs impact CHC diabetes management at multiple levels. Stakeholders' understanding of these policies and programs may identify opportunities to improve diabetes care.

Identifying and addressing social determinants of health in outpatient practice: results of a program-wide survey of internal and family medicine residents.

BACKGROUND: Up to 60% of preventable mortality is attributable to social determinants of health (SDOH), yet training on SDOH competencies is not widely implemented in residency. The objective of this study was to assess internal and family medicine residents' competence at identifying and addressing SDOH. METHODS: Residents' perceived competence at identifying, discussing, and addressing SDOH in outpatient settings was assessed using a single questionnaire administered in March 2017. In this cross-sectional analysis, bivariate associations of resident characteristics with the following outcomes were examined: identifying, discussing, and addressing patients' challenges related to SDOH through referrals. RESULTS: The survey was completed by 129 (84%) residents. Twenty residents (16%) reported an annual income of less than $50,000 during childhood. Overall, 108 residents (84%) reported previous SDOH training. Two-thirds had outpatient practices in Veterans Affairs or safety-net clinics. Thirty-nine (30%) intended to pursue a career in primary care. The following numbers of residents reported high levels of competence for performing these outcomes: identifying patients' challenges related to SDOH: 37 (29%); discussing them with patients: 18 (14%); and addressing these challenges through referrals to internal and external resources: 13 (10%) and 11 (9%), respectively. Factors associated with higher competence included older age, lower childhood household income, prior education about SDOH, primary practice site and intention to practice primary care. CONCLUSIONS: Most residents had previous SDOH training, yet only a small proportion of residents reported being highly competent at identifying or addressing SDOH. Providing opportunities for practical training may be a key component in preparing medical residents to identify and address SDOH effectively in outpatient practice.

Remote Coaching of Caregivers Via Telehealth: Challenges and Potential Solutions.

The use of telehealth technologies to provide clinical services to families of children with autism and other developmental disabilities is a rapidly growing area of research. In particular, remote training of caregivers via video conferencing appears to be a promising approach for disseminating behavior-analytic interventions (Neely, Rispoli, Gerow, Hong, Hagan-Burke, 2017; Tomlinson, Gore, & McGill, 2018). Although remote training offers a number of advantages, it brings a variety of challenges that are unique to this modality. The field would benefit from information on problems that practitioners may encounter when providing these services and how to train caregivers effectively. In this paper, we report on the experiences of 18 practitioners who provided caregiver training via telehealth from four different sites across a 4-year period. We describe a variety of technical and clinical issues that arose during service delivery, suggest strategies for preventing and remediating problems, and include case descriptions and data to illustrate our experiences. This information may help prepare practitioners to deliver telehealth services and guide further research in this area.

Association of Social Adversity with Comorbid Diabetes and Depression Symptoms in the Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study: A Syndemic Framework.

BACKGROUND: U.S. Hispanics/Latinos experience high lifetime risk for Type 2 diabetes and concurrent psychological depression. This comorbidity is associated with poorer self-management, worse disease outcomes, and higher mortality. Syndemic theory is a novel social epidemiological framework that emphasizes the role of economic and social adversity in promoting disease comorbidity and health disparities. PURPOSE: Informed by the syndemic framework, this study explored associations of socioeconomic and psychosocial adversity (low income/education, trauma history, adverse childhood experiences, ethnic discrimination, neighborhood problems [e.g., violence]) with comorbidity of diabetes and depression symptoms in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and Sociocultural Ancillary Study. METHODS: Participants were 5,247 Latino adults, aged 18-74, enrolled in four U.S. cities from 2008 to 2011. Participants completed a baseline physical exam and measures of depression symptoms and psychosocial adversity. Multinomial logistic regression analyses were conducted to examine associations of adversity variables with comorbid diabetes and high depression symptoms. RESULTS: Household income below $30,000/year was associated with higher odds of diabetes/depression comorbidity (odds ratio [OR] = 4.61; 95% confidence interval [CI]: 2.89, 7.33) compared to having neither condition, as was each standard deviation increase in adverse childhood experiences (OR = 1.41; 95% CI: 1.16, 1.71), ethnic discrimination (OR = 1.23; 95% CI: 1.01, 1.50), and neighborhood problems (OR = 1.53; 95% CI: 1.30, 1.80). CONCLUSION: Low household income, adverse childhood experiences, ethnic discrimination, and neighborhood problems are related to comorbid diabetes and depression in U.S. Latinos. Future studies should explore these relationships longitudinally.

Performance of the 2015 US Preventive Services Task Force Screening Criteria for Prediabetes and Undiagnosed Diabetes.

BACKGROUND: In 2015, The US Preventive Services Task Force (USPSTF) recommended screening for prediabetes and undiagnosed diabetes (collectively called dysglycemia) among adults aged 40-70 years with overweight or obesity. The recommendation suggests that clinicians consider screening earlier in people who have other diabetes risk factors. OBJECTIVE: To compare the performance of limited and expanded screening criteria recommended by the USPSTF for detecting dysglycemia among US adults. DESIGN: Cross-sectional analysis of survey and laboratory data collected from nationally representative samples of the civilian, noninstitutionalized US adult population. PARTICIPANTS: A total of 3643 adults without diagnosed diabetes who underwent measurement of hemoglobin A1c (A1c), fasting plasma glucose (FPG), and 2-h plasma glucose (2-h PG). MAIN MEASURES: Screening eligibility according to the limited criteria was based on age 40 to 70 years old and overweight/obesity. Screening eligibility according to the expanded criteria was determined by meeting the limited criteria or having ≥ 1 of the following risk factors: family history of diabetes, history of gestational diabetes or polycystic ovarian syndrome, and non-white race/ethnicity. Dysglycemia was defined by A1c ≥ 5.7%, FPG ≥ 100 mg/dL, and/or 2-h PG ≥ 140 mg/dL. KEY RESULTS: Among the US adult population without diagnosed diabetes, 49.7% had dysglycemia. Screening based on the limited criteria demonstrated a sensitivity of 47.3% (95% CI, 44.7-50.0%) and specificity of 71.4% (95% CI, 67.3-75.2%). The expanded criteria yielded higher sensitivity [76.8% (95% CI, 73.5-79.8%)] and lower specificity [33.8% (95% CI, 30.1-37.7%)]. Point estimates for the sensitivity of the limited criteria were lower in all minority groups and significantly different for Asians compared to non-Hispanic whites [29.9% (95% CI, 23.4-37.2%) vs. 49.8% (95% CI, 45.9-53.7%); P < .001]. CONCLUSIONS: Diabetes screening that follows the limited USPSTF criteria will identify approximately half of US adults with dysglycemia. Screening other high-risk subgroups defined in the USPSTF recommendation would improve detection of dysglycemia and may reduce associated racial/ethnic disparities.

Building Toward a Population-Based Approach to Diabetes Screening and Prevention for US Adults.

PURPOSE OF REVIEW: Evidence-based treatments for prediabetes can prevent and delay the development of type 2 diabetes in adults. In this review, we propose a framework for population-based diabetes prevention that links screening and prevention activities across key stakeholders. We also discuss gaps in current practice, while highlighting opportunities to improve diabetes screening and prevention efforts population-wide. RECENT FINDINGS: Awareness of diabetes risk is low, and many adults with prediabetes are not identified through existing screening efforts. Accumulating evidence and policies support expansion of the Diabetes Prevention Program (DPP) into clinical and community settings. However, the infrastructure to facilitate referrals and promote data exchange among patients, clinical settings, and community-based DPP programs is lacking. Development of evidence-driven, scalable processes for assessing diabetes risk, screening eligible adults, and delivering preventive treatments are needed to effectively improve the glycemic health of the US adult population.

Diabetes Risk Assessment in Latinas: Effectiveness of a Brief Diabetes Risk Questionnaire for Detecting Prediabetes in a Community-Based Sample.

OBJECTIVE: Numerous validated questionnaires use self-reported data to quantify individuals' risk of having diabetes or developing it in the future. Evaluations of these tools have primarily used nationally representative data, limiting their application in clinical and community settings. This analysis tested the effectiveness of the American Diabetes Association (ADA) risk questionnaire for identifying prediabetes in a community-based sample of Latinas. METHODS: Data were collected using the ADA risk questionnaire and assessing A1C. Among 204 participants without diabetes, we examined the association between individual characteristics and glycemic status. We then calculated the performance characteristics (sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) of the ADA risk questionnaire for detecting prediabetes, using A1C results as the gold standard to define the outcome. RESULTS: All participants were women of self-reported Hispanic/Latino ethnicity. Their mean ADA risk score was 5.6 ± 1.6. Latinas who had prediabetes were older, with significantly higher rates of hypertension and a higher ADA risk score than those without prediabetes. At a risk score ≥5-the threshold for high risk set by the ADA-the questionnaire had the following test performance characteristics: sensitivity 77.8%, specificity 41.7%, PPV 76.2%, and NPV 43.9%. CONCLUSION: The ADA risk questionnaire demonstrates reasonable performance for identifying prediabetes in a community-based sample of Latinas. Our data may guide other groups' use of this tool in the same target population. Future research should examine the effectiveness of this questionnaire for recruiting diverse populations into diabetes prevention programs. In addition, unique diabetes risk assessment tools for specific target populations are needed and may outperform questionnaires developed using nationally representative data.

Preventing Diabetes in Primary Care: Providers' Perspectives About Diagnosing and Treating Prediabetes.

IN BRIEF Offering patient-centered care to prevent diabetes will require collaborative decision-making between patients with prediabetes and their health care providers. From the perspective of primary care providers, prediabetes detection should be targeted to patients who are most likely to benefit from diagnosis and treatment. Improving access to lifestyle intervention programs and educating providers about evidence-based treatments for prediabetes and how to effectively discuss treatment options with patients may improve both providers' and patients' engagement in diabetes prevention.

Detecting Dysglycemia Using the 2015 United States Preventive Services Task Force Screening Criteria: A Cohort Analysis of Community Health Center Patients.

BACKGROUND: In 2015, the United States Preventive Services Task Force (USPSTF) recommended targeted screening for prediabetes and diabetes (dysglycemia) in adults who are aged 40 to 70 y old and overweight or obese. Given increasing prevalence of dysglycemia at younger ages and lower body weight, particularly among racial/ethnic minorities, we sought to determine whether the current screening criteria may fail to identify some high-risk population subgroups. METHODS AND FINDINGS: We investigated the performance of the 2015 USPSTF screening recommendation in detecting dysglycemia among US community health center patients. A retrospective analysis of electronic health record (EHR) data from 50,515 adult primary care patients was conducted. Longitudinal EHR data were collected in six health centers in the Midwest and Southwest. Patients with a first office visit between 2008 and 2010 were identified and followed for up to 3 y through 2013. We excluded patients who had dysglycemia at baseline and those with fewer than two office visits during the follow-up period. The exposure of interest was eligibility for screening according to the 2015 USPSTF criteria. The primary outcome was development of dysglycemia during follow-up, determined by: (1) laboratory results (fasting/2-h postload/random glucose ≥ 100/140/200 mg/dL [5.55/7.77/11.10 mmol/L] or hemoglobin A1C ≥ 5.7% [39 mmol/mol]); (2) diagnosis codes for prediabetes or type 2 diabetes; or (3) antidiabetic medication order. At baseline, 18,846 (37.3%) participants were aged ≥40 y, 33,537 (66.4%) were overweight or obese, and 39,061 (77.3%) were racial/ethnic minorities (34.6% Black, 33.9% Hispanic/Latino, and 8.7% Other). Overall, 29,946 (59.3%) patients had a glycemic test within 3 y of follow-up, and 8,478 of them developed dysglycemia. Only 12,679 (25.1%) patients were eligible for screening according to the 2015 USPSTF criteria, which demonstrated the following sensitivity and specificity (95% CI): 45.0% (43.9%-46.1%) and 71.9% (71.3%-72.5%), respectively. Racial/ethnic minorities were significantly less likely to be eligible for screening yet had higher odds of developing dysglycemia than whites (odds ratio [95% CI]: Blacks 1.24 [1.09-1.40]; Hispanics 1.46 [1.30-1.64]; and Other 1.33 [1.16-1.54]). In addition, the screening criteria had lower sensitivity in all racial/ethnic minority groups compared to whites. Limitations of this study include the ascertainment of dysglycemia only among patients with available test results and findings that may not be generalizable at the population level. CONCLUSIONS: Targeted diabetes screening based on new USPSTF criteria may detect approximately half of adult community health center patients with undiagnosed dysglycemia and proportionately fewer racial/ethnic minorities than whites. Future research is needed to estimate the performance of these screening criteria in population-based samples.