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Meaningful communication between health service users and providers is essential. However, when stakeholders are unfamiliar with new health services, innovative communication methods are necessary to engage them. The aim of the study was to create, validate, and evaluate a video-vignette to enhance stakeholders' (physicians, pharmacists, and laypeople) engagement and understanding of an innovative pharmacy-based diabetes screening and prevention program. Also, to assess the video-vignette's capacity to measure appetite and appeal for such preventive programs. This mixed-methods study consisted of two phases. In phase one, a video-vignette depicting the proposed screening and prevention program was developed and validated following established international guidelines (n = 25). The video-vignette was then evaluated by stakeholders (n = 99). In phase two, the video-vignette's capacity as a communication tool was tested in focus groups and interviews to explore stakeholders' perspectives and engagement on the proposed service (n = 22). Quantitative data were analyzed descriptively, while qualitative data underwent thematic analysis. In total, 146 stakeholders participated. The script was well-received, deemed credible, and realistic. Furthermore, the video-vignette received high ratings for its value, content, interest, realism, and visual and audio quality. The focus groups and interviews provided valuable insights into the design and delivery of the new service. The video-vignette compellingly portrayed the novel pharmacy-based diabetes screening and prevention service. It facilitated in-depth discussions among stakeholders and significantly enhanced their understanding and appreciation of such health services. The video-vignette also generated significant interest in pharmacy-based diabetes screening and prevention programs, serving as a powerful tool to promote enrollment in these initiatives.

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Diagnosing diabetes by shortening the OGTT to 1-h and substituting 1-h post-load glucose (PG) ≥ 209 mg/dL for 2-h PG≥200 mg/dL has been proposed. One-hour PG≥209 mg/dL is from a meta-analysis without any African-descent populations. Our data suggest 1-h PG≥183 mg/dL maybe more optimal for Africans. As with waist circumference guidelines, population-specific thresholds may be appropriate.

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Despite significant efforts in the development of noninvasive blood glucose (BG) monitoring solutions, delivering an accurate, real-time BG measurement remains challenging. We sought to address this by using a novel radiofrequency (RF) glucose sensor to noninvasively classify glycemic status. The study included 31 participants aged 18-65 with prediabetes or type 2 diabetes and no other significant medical history. During control sessions and oral glucose tolerance test sessions, data were collected from both a RF sensor that rapidly scans thousands of frequencies and concurrently from a venous blood draw measured with an US Food and Drug Administration (FDA)-cleared glucose hospital meter system to create paired observations. We trained a time series forest machine learning model on 80% of the paired observations and reported results from applying the model to the remaining 20%. Our findings show that the model correctly classified glycemic status 93.37% of the time as high, normal, or low.

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OBJECTIVE: To identify the risk factors for the development of diabetic retinopathy (DR), diabetic macular edema (DME), and sight-threatening DR (STDR) based on a city-wide diabetes screening program. RESEARCH DESIGN AND METHODS: Diabetic patients were prospectively recruited between June 2016 and December 2022. All patients underwent dilated fundus photography centered on the disc and macula or macular spectral domain optical coherence tomography (SD-OCT) scan. Complete medical history was documented. Systematic examination, blood analysis, and urinalysis were performed. Multivariate logistic regression analysis adjusting for age and sex was conducted. RESULTS: Out of 7274 diabetic patients, 6840 had gradable images, among which 3054 (42.0%) were graded as DR, 1153 (15.9%) as DME, and 1500 (20.6%) as STDR. The factors associated with DR, DME, and STDR included younger age (odds ratio [OR]: 0.96, 0.97, and 0.96 respectively), lower BMI (OR: 0.97, 0.95, and 0.95 respectively), longer duration of diabetes (OR: 1.07, 1.03, and 1.05 respectively) and positive of urinary albumin (OR: 2.22, 2.56, and 2.88 respectively). Other associated factors included elevated blood urea nitrogen (OR: 1.22, 1.28, and 1.27 respectively), higher LDL-cholesterol, lower blood hemoglobin (OR: 0.98, 0.98, and 0.98), insulin intake, presence of diabetic foot pathologies and diabetic peripheral neuropathy. We also identified novel risk factors, including high serum potassium (OR: 1.37, 1.46, and 1.55 respectively), high-serum sodium (OR: 1.02, 1.02, and 1.04 respectively). Better family income was a protective factor for DR, DME, and STDR. Alcohol consumption once a week was also identified as a protective factor for DR. CONCLUSIONS: Similar risk factors for DR, DME, and STDR were found in this study. Our data also indicates high serum sodium, high serum potassium, low blood hemoglobin, and level of family income as novel associated factors for DR, DME, and STDR, which can help with DR monitoring and management.

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OBJECTIVES: The rising prevalence of type 2 diabetes in Canada poses a significant health challenge. Despite the convenience of screening for diabetes with glycated hemoglobin (A1C) concentration, people experiencing homelessness (PEH) often face barriers to accessing diabetes screening, potentially leading to underdiagnosis. In this study, we aim to assess the prevalence of undiagnosed diabetes among PEH in Calgary, Alberta, and contribute insights for planning health-care services and public health initiatives. METHODS: Four screening clinics were held, and participants were recruited through posters and word of mouth. Participants underwent point-of-care A1C testing using the Siemens DCA Vantage point-of-care analyzer. Descriptive statistics were used to identify the proportions of prediabetes and diabetes, whereas CANRISK survey scores were used to identify the pre-test probability of diabetes. RESULTS: The mean age of participants (n=102) was 47.6 years, and the self-reported causes of homelessness among the participants were diverse, including housing and financial issues (n=53), interpersonal and family issues (n=35), and health- or corrections-related factors (n=27). The average A1C was 5.60% (standard deviation 0.57%), with 5 values in the diabetes range and 12 in the prediabetes range, for a total of 17 participants found to have previously undiagnosed dysglycemia. CONCLUSIONS: The high rate of undiagnosed prediabetes and diabetes among PEH reflects at least what is already seen in the general population in Canada. More resources are required to reduce the barriers to screening for diabetes among this population.

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Objective: The optimal confirmatory tests for diabetes mellitus (DM) in patients with tuberculosis (TB) vary across populations. This study aimed to evaluate the performance of two confirmatory tests for DM against the oral glucose tolerance test (OGTT) as the reference test in adult Ugandans with recently diagnosed TB. Methods: A total of 232 adult participants receiving TB treatment underwent initial screening for DM with random blood glucose (RBG) measurement. Participants with a RBG level ⩾6.1 mmol/l received additional screening with fasting blood glucose (FBG), laboratory-measured glycated haemoglobin (HbA1c) and an OGTT. Using the latter as the gold standard and reference test, we evaluated the diagnostic accuracy of laboratory-measured HbA1c and FBG. Results: Of the 232 participants initially screened for DM using RBG measurement, 117 participants (50.4%) had RBG level ⩾6.1 mmol/l and were scheduled to return for additional blood glucose testing. Of these, 75 (64.1%) participants returned for FBG and HbA1c measurements. A diagnosis of DM was made in 32 participants, corresponding to a prevalence of 13.8% [95% CI 9.9-18.9].The areas under the curve (AUC) for FBG and laboratory-measured HbA1c were 0.69 [95% CI 0.47-0.90] and 0.65 [95% CI 0.43-0.87], respectively. The sensitivity and specificity of a FBG level of ⩾7 mmol/l were 57.1% [95% CI 18.4-90.1] and 74.6% [95% CI 62.5-84.5], respectively, whereas the sensitivity and specificity for laboratory-measured HbA1c of ⩾6.5 mmol/l (48 mmol/mol) were 14.3% [95% CI 0.40-57.9] and 95.3% (86.9-99.0%), respectively. Conclusion: FBG may be better than laboratory-measured HbA1c in confirming DM in adult Ugandans with recently diagnosed TB. However, because of the small study sample size, larger studies evaluating the diagnostic utility of these diabetes screening tests in adult Ugandans with TB are needed to confirm these findings.

Appropriate diabetes test in patients with tuberculosis Diabetes mellitus (DM) is a common condition in patients with tuberculosis and proactively screening for the condition is encouraged in all adult patients with tuberculosis. In this study, a total of 232 adult Ugandans with recently diagnosed tuberculosis were screened for DM using random glucose test, fasting blood glucose test, glycated haemoglobin test and an oral glucose tolerance test (OGTT), as the gold-standard and reference test. Compared with the OGTT, a fasting blood glucose test was noted to be a better screening test for diabetes mellitus than glycated haemoglobin in these patients and may be used as a follow-up test to random blood glucose in the screening and diagnosis of DM in adult Ugandans with tuberculosis.

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This article focuses on the role of the National Health Program called National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular Disease, and Stroke (NPCDCS) in the screening and reduction of the case burden of Diabetes mellitus. The article first discusses the case burden of Diabetes before the implementation of NPCDCS and then the burden of the disease after the implementation of the program by mainly reviewing the cross-sectional studies done in four districts, Jaipur district, Gandhinagar district, Belagavi taluka district, and Udupi district. The studies were conducted at least four years after the program's implementation. The reason for preparing this review article is to assess the efficacy of NPCDCS in controlling the most dreaded chronic disease, which has its highest prevalence in India. Over the past century, there has been a consistent rise in the prevalence of Diabetes.  In all departments of medicine, Diabetes has been a common predisposing factor in several adversities such as blindness, limb amputation, cerebrovascular stroke, diabetic nephropathy, and other microvascular and macrovascular diseases. The studies include field-level cross-checking and on-ground cross-sectional studies, which were done in 2019 in Jaipur, standard cross-sectional studies from the primary data collected from the primary health care center in the Belagavi taluka district, a national-level cross-sectional study conducted by the National NCD Monitoring survey, and cross-sectional studies in Udupi district in Karnataka, which was the first district to be included by NPCDCS in its second phase.

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Background Diabetes is characterized by elevated blood glucose levels due to inadequate insulin production or abnormalities in cellular activity. Gestational diabetes mellitus (GDM) is one of the most prominent indicators of type 2 diabetes mellitus (T2DM), which develops in pregnant women whose pancreatic function is insufficient to control the insulin resistance associated with pregnancy. Moreover, it is the most common metabolic disorder, with the majority of cases beginning in the second or third trimester of pregnancy and affecting up to 25% of pregnant women. Objectives The objective of this study was to identify factors associated with postpartum T2DM screening in women with GDM at King Abdulaziz University Hospital (KAUH) between 2010 and 2022. The secondary objective was to assess the factors associated with providing information to the patients about the risks of increased blood glucose and postpartum lifestyle modification. Methods We conducted a retrospective cross-sectional study at KAUH to investigate potential factors associated with postpartum screening for T2DM. Out of 564 patients diagnosed with GDM between 2020 and 2022, we included 200 women aged over 18 years with a history of GDM, as they met the inclusion criteria for our study. Patients younger than 18 years with missing or incomplete baseline characteristics were excluded. Data were analyzed using SPSS Statistics version 21 (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.), and p-value <0.05 was considered significant. Results A total of 200 postpartum women with GDM were included in this study. Their mean age was 35.02±5.2 years. Many of them had a family history of diabetes (83.0%) and a previous diagnosis of GDM (60.5%). The patients who performed glucose testing six weeks after birth were previously diagnosed with GDM (37.0%) or with a family history of diabetes (45.5%). The significant variables in this analysis were mothers having frequent postpartum hospital follow-up visits (P<0.001), mothers with gestational weight gain (P=0.018), those who were informed about the risks of increased blood glucose (P=0.011), and those who were informed about plans for postpartum glucose screening (P=0.002). The mothers with a previous history of GDM were the highest to be informed of the risks of elevated blood glucose. Conclusion Frequent postpartum hospital follow-up visits, gestational weight gain, knowledge of the risks of elevated blood sugar, and postpartum glucose screening plans were all associated with postpartum glucose testing rates among women with GDM in Saudi Arabia.

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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.

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BACKGROUND: Outcomes of diabetes screening in contemporary, multi-ethnic populations are unknown. We examined the association of prior outpatient diabetes screening with the risks of cardiovascular events and mortality in Ontario, Canada. METHODS: We conducted a population-based cohort study using administrative databases among adults aged ≥ 20 years with incident diabetes diagnosed during 2014-2016. The exposure was outpatient diabetes screening performed within 3 years prior to diabetes diagnosis. The co-primary outcomes were (1) a composite of all-cause mortality and hospitalization for myocardial infarction, stroke, coronary revascularization, and (2) all-cause mortality (followed up until 2018). We calculated standardized rates of each outcome and conducted cause-specific hazard modelling to determine the adjusted hazard ratio (HR) of the outcomes, adjusting for prespecified confounders and accounting for the competing risk of death. RESULTS: We included 178,753 Ontarians with incident diabetes (70.2% previously screened). Individuals receiving prior screening were older (58.3 versus 53.4 years) and more likely to be women (49.6% versus 40.0%) than previously unscreened individuals. Individuals receiving prior screening had relatively lower standardized event rates than those without prior screening across all outcomes (composite: 12.8 versus 18.1, mortality: 8.2 versus 11.1 per 1000 patient-years). After multivariable adjustment, prior screening was associated with 34% and 32% lower risks of the composite (HR 0.66, 0.63-0.69) and mortality (0.68, 0.64-0.72) outcomes. Among those receiving prior screening, a result in the prediabetes range was associated with lower risks of the composite (0.82, 0.77-0.88) and mortality (0.71, 0.66-0.78) outcomes than a result in the normoglycemic range. CONCLUSIONS: Previously screened individuals with diabetes had lower risks of cardiovascular events and mortality versus previously unscreened individuals. Better risk assessment tools are needed to support wider and more appropriate uptake of diabetes screening, especially among young adults.

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A person's place of residence is a strong risk factor for important diagnosed chronic diseases such as diabetes. It is unclear whether neighborhood-level risk factors also predict the probability of undiagnosed disease. The objective of this study was to identify neighborhood-level variables associated with severe hyperglycemia among emergency department (ED) patients without a history of diabetes. We analyzed patients without previously diagnosed diabetes for whom a random serum glucose value was obtained in the ED. We defined random glucose values ≥ 200 mg/dL as severe hyperglycemia, indicating probable undiagnosed diabetes. Patient addresses were geocoded and matched with neighborhood-level socioeconomic measures from the American Community Survey and claims-based surveillance estimates of diabetes prevalence. Neighborhood-level exposure variables were standardized based on z-scores, and a series of logistic regression models were used to assess the association of selected exposures and hyperglycemia adjusting for biological and social individual-level risk factors for diabetes. Of 77,882 ED patients without a history of diabetes presenting in 2021, 1,715 (2.2%) had severe hyperglycemia. Many geospatial exposures were associated with uncontrolled hyperglycemia, even after controlling for individual-level risk factors. The most strongly associated neighborhood-level variables included lower markers of educational attainment, higher percentage of households where limited English is spoken, lower rates of white-collar employment, and higher rates of Medicaid insurance. Including these geospatial factors in risk assessment models may help identify important subgroups of patients with undiagnosed disease.

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OBJECTIVE: This study aimed to summarize the current interventions aimed at improving postpartum diabetes screening attendance and to compare their effectiveness. DATA SOURCES: Literature searches were conducted in the Web of Science, Embase, Cochrane Library, CINAHL, and PubMed from inception to March 20, 2023. STUDY ELIGIBILITY CRITERIA: Quantitative studies involving an intervention to increase postpartum diabetes screening attendance among women with gestational diabetes mellitus were included. METHODS: The Joanna Briggs Institute checklists were used for the quality appraisal of the included studies. A Bayesian network meta-analysis was performed to synthesize the comparative effectiveness of the relevant interventions aimed at improving postpartum diabetes screening rates. RESULTS: A total of 40 studies were included in this review with pooled data from 17,123 women. Studies included randomized controlled trials (n=11, including 3 US-based studies and 8 non-US-based studies) and nonrandomised studies (n=29, including 13 US-based studies and 16 non-US-based studies). Of the 14 studies that reported screening outcomes, 11 detected early type 2 diabetes at a rate ranging from 2.0% to 23.0%. The types of interventions identified included reminders (eg, postal letters, emails, and phone messages), educational interventions, screening methods and delivery, policy changes, antenatal groups, and multimodal interventions. Based on the network meta-analysis from randomized controlled trials, antenatal group intervention, which refers to antenatal patient education delivered in groups (1 US-based study), had the highest probability to be the most effective intervention (odds ratio, 10; 95% confidence interval, 1.6-77.0), followed by one-to-one educational intervention with written educational materials or counselling (odds ratio, 6.9; 95% confidence interval, 3.6-16.0). The results from nonrandomized studies indicated that flexible screening methods and delivery (2 US-based studies) had the greatest impact on screening uptake (odds ratio, 3.9; 95% confidence interval, 1.8-10.0), followed by educational interventions (1 US-based study and 2 non-US-based studies) with antenatal patient education and written educational materials (odds ratio, 3.4; 95% confidence interval, 1.9-6.3) and antenatal groups (odds ratio, 3.3; 95% confidence interval, 1.7-6.7). CONCLUSION: The presented evidence suggests that antenatal patient education delivered in groups and offering more flexible screening methods were associated with the greatest increase in attendance. The multimodal interventions and reminders could still be important if they were more theoretically grounded and were more integrated into the healthcare system.

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Background: The prevalence of type 2 diabetes (T2D) continues to increase in the Americas. Identifying people at risk for T2D is critical to the prevention of T2D complications, especially cardiovascular disease. This study gauges the ability to implement large population-based organized screening campaigns in 19 Latin American and Caribbean countries to detect people at risk for T2D using the Finnish Diabetes Risk Score (FINDRISC). Methods: This cross-sectional descriptive analysis uses data collected in a sample of men and women 18 years of age or older who completed FINDRISC via eHealth during a Guinness World Record attempt campaign between October 25 and November 1, 2021. FINDRISC is a non-invasive screening tool based on age, body mass index, waist circumference, physical activity, daily intake of fruits and vegetables, history of hyperglycemia, history of antihypertensive drug treatment, and family history of T2D, assigning a score ranging from 0 to 26 points. A cut-off point of ≥ 12 points was considered as high risk for T2D. Results: The final sample size consisted of 29,662 women (63%) and 17,605 men (27%). In total, 35% of subjects were at risk of T2D. The highest frequency rates (FINDRISC ≥ 12) were observed in Chile (39%), Central America (36.4%), and Peru (36.1%). Chile also had the highest proportion of people having a FINDRISC ≥15 points (25%), whereas the lowest was observed in Colombia (11.3%). Conclusions: FINDRISC can be easily implemented via eHealth technology over social networks in Latin American and Caribbean populations to detect people with high risk for T2D. Primary healthcare strategies are needed to perform T2D organized screening to deliver early, accessible, culturally sensitive, and sustainable interventions to prevent sequelae of T2D, and reduce the clinical and economic burden of cardiometabolic-based chronic disease.

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Background: Cystic Fibrosis Foundation (CFF) Guidelines recommend annual screening for cystic fibrosis related diabetes (CFRD) with an oral glucose tolerance test (OGTT). However, screening rates remain consistently low. We conducted surveys of 1) US CF center directors and 2) Endocrinologists affiliated with the CFF-sponsored EnVision program to characterize CFRD screening practices, describe provider perceived barriers to screening, and identify strategies for improving screening. Methods: The surveys queried OGTT protocols, alternate screening strategies, and perceived barriers to screening. CF center characteristics and procedures for coordinating OGTTs were compared between centers achieving ≥50% versus <50% OGTT completion. Endocrinologists received additional questions regarding OGTT interpretation and management. Results: The survey response rate was 18% (51/290) from CF Centers and 63% (25/40) from Endocrinologists. The majority (57%) of CF centers utilized 2 OGTT timepoints (0,120 min). The majority (72%) of Endocrinologists utilized 3 timepoints (0,60,120 min). Four percent of CF centers and 8% of Endocrinologists utilized other timepoints. Forty-nine percent of CF centers reported ≥50% OGTT completion in the past year. Completion of ≥50% OGTT was 5 times more likely when patient reminders were consistently provided (p = 0.017). Both CF Centers and Endocrinologists employed alternative screening strategies including HbA1c (64%, 92%), fasting plasma glucose (49%, 67%), continuous glucose monitoring (30%, 58%), and home fingerstick monitoring (55%, 50%). Discussion: OGTT is the gold standard screening method for CFRD, but completion rates remain suboptimal, practice variation exists, and many providers utilize alternate screening strategies. Systematic reminders may improve completion rates. Studies to improve our approach to CFRD screening are urgently needed.

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Aim: To describe barriers to implementation of diabetic retinopathy (DR) teleretinal screening programs and artificial intelligence (AI) integration at the University of California (UC). Methods: Institutional representatives from UC Los Angeles, San Diego, San Francisco, Irvine, and Davis were surveyed for the year of their program's initiation, active status at the time of survey (December 2021), number of primary care clinics involved, screening image quality, types of eye providers, image interpretation turnaround time, and billing codes used. Representatives were asked to rate perceptions toward barriers to teleretinal DR screening and AI implementation using a 5-point Likert scale. Results: Four UC campuses had active DR teleretinal screening programs at the time of survey and screened between 246 and 2,123 patients at 1-6 clinics per campus. Sites reported variation between poor-quality photos (<5% to 15%) and average image interpretation time (1-5 days). Patient education, resource availability, and infrastructural support were identified as barriers to DR teleretinal screening. Cost and integration into existing technology infrastructures were identified as barriers to AI integration in DR screening. Conclusions: Despite the potential to increase access to care, there remain several barriers to widespread implementation of DR teleretinal screening. More research is needed to develop best practices to overcome these barriers.

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OBJECTIVE: To explore the feasibility of screening for type 2 diabetes (T2DM) and the prevalence of adult patients seen in a dental clinic at risk for T2DM based on American Diabetes Association (ADA) diabetes risk test (DRT) scores and point of care hemoglobin A1C (A1C) values. METHOD AND MATERIALS: This was a cross-sectional analysis of data from adults 18 to 89 years old seen in an academic dental clinic between November 2019 and April 2022 without prior history of diabetes. Clinical and demographic data were obtained from electronic health records and odontograms. Frequency distributions, chi-square, and Mann-Whitney U tests were used for data analysis. RESULTS: Of the 13,519 patients whose data were included, 54.7% (n = 7,389) were women. Of those with race and ethnicity data, 53.6% (n = 2,871) were white, 40.2% (n = 2,153) were African American, and 29.5% (n = 1,559) were Hispanic/Latino. Mean ± SD age was 47.0 + 17.0 years; mean ± SD body mass index was 28.0 ± 6.1 kg/m2. Thirty-five percent (n = 4,774) had diabetes risk test scores reflecting T2DM risk. Those at risk were more likely to be older, male, and overweight/obese than those not at risk (P < .001). Of those at risk who consented to a point of care A1C (9.8%, n = 470), 40.2% (n = 189) had values consistent with dysglycemia (A1C ≥ 5.7%); 34.9% (n = 164) reflecting prediabetes (A1C = 5.7% to 6.4%) and 5.3% (n = 25) diabetes (A1C ≥ 6.5%). CONCLUSIONS: Diabetes screening in a dental clinic identified that over one-third of adults without T2DM were at risk based on diabetes risk test scores. Of those who had point of care A1Cs conducted; 40% had dysglycemia. Diabetes screening in an academic dental clinic can help identify patients at risk for T2DM.

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Objective: The aim of this study was to characterize current diabetes screening practices in the first trimester of pregnancy in the United States, evaluate patient characteristics and risk factors associated with early diabetes screening, and compare perinatal outcomes by early diabetes screening. Methods: This was a retrospective cohort study of US medical claims data of persons diagnosed with a viable intrauterine pregnancy and who presented for care with private insurance before 14 weeks of gestation, without pre-existing pregestational diabetes, from the IBM MarketScan® database for the period January 1, 2016, to December 31, 2018. Univariate and multivariate analyses were used to evaluate perinatal outcomes. Results: A total of 400,588 pregnancies were identified as eligible for inclusion, with 18.0% of persons receiving early screening for diabetes. Of those with laboratory order claims, 53.1% underwent hemoglobin A1c testing, 30.0% underwent fasting glucose testing, and 16.9% underwent oral glucose tolerance testing. Compared with those who did not undergo early diabetes screening, those who did were more likely to be older; obese; having a history of gestational diabetes, chronic hypertension, polycystic ovarian syndrome, or hyperlipidemia; and having a family history of diabetes. In adjusted logistic regression, history of gestational diabetes (adjusted odds ratio 3.99; 95% confidence interval 3.73-4.26) had the strongest association with early diabetes screening. Adverse perinatal outcomes, including a higher rate of cesarean delivery, preterm delivery, preeclampsia, and gestational diabetes, occurred more frequently among women who underwent early diabetes screening. Conclusions: First-trimester early diabetes screening was mostly commonly performed by hemoglobin A1c evaluation, and persons who underwent early diabetes screening were more likely to experience adverse perinatal outcomes.

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BACKGROUND: A sizeable proportion of prediabetes and diabetes cases among adults in the United States remain undiagnosed. Patient-facing clinical decision support (CDS) tools that leverage electronic health records (EHRs) have the potential to increase diabetes screening. Given the widespread mobile phone ownership across diverse groups, text messages present a viable mode for delivering alerts directly to patients. The use of unsolicited text messages to offer hemoglobin A1c (HbA1c) screening has not yet been studied. It is imperative to gauge perceptions of "cold texts" to ensure that information and language are optimized to promote engagement with text messages that affect follow-through with health behaviors. OBJECTIVE: This study aims to gauge the perceptions of and receptiveness to text messages to inform content that would facilitate engagement with text messages intended to initiate a mobile health (mHealth) intervention for targeted screening. Messages were designed to invite those not already diagnosed with diabetes to make a decision to take part in HbA1c screening and walk them through the steps required to perform the behavior based solely on an automated text exchange. METHODS: In total, 6 focus groups were conducted at Wake Forest Baptist Health (WFBH) between September 2019 and February 2020. The participants were adult patients without diabetes who had completed an in-person visit at the Family and Community Medicine Clinic within the previous year. We displayed a series of text messages and asked the participants to react to the message content and suggest improvements. Content was deductively coded with respect to the Health Belief Model (HBM) and inductively coded to identify other emergent themes that could potentially impact engagement with text messages. RESULTS: Participants (N=36) were generally receptive to the idea of receiving a text-based alert for HbA1c screening. Plain language, personalization, and content, which highlighted perceived benefits over perceived susceptibility and perceived severity, were important to participants' understanding of and receptiveness to messages. The patient-physician relationship emerged as a recurring theme in which patients either had a desire or held an assumption that their provider would be working behind the scenes throughout each step of the process. Participants needed further clarification to understand the steps involved in following through with HbA1c screening and receiving results. CONCLUSIONS: Our findings suggest that patients may be receptive to text messages that alert them to a risk of having an elevated HbA1c in direct-to-patient alerts that use cold texting. Using plain and positive language, integrating elements of personalization, and defining new processes clearly were identified by participants as modifiable content elements that could act as facilitators that would help overcome barriers to engagement with these messages. A patient's relationship with their provider and the financial costs associated with texts and screening may affect receptiveness and engagement in this process.

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Studies have found differences in the concentration of volatile organic compounds in the breath of diabetics and healthy people, prompting attention to the use of devices such as electronic noses to detect diabetes. In this study, we explored the design of a non-invasive diabetes preliminary screening system that uses a homemade electronic nose sensor array to detect respiratory gas markers. In the algorithm part, two feature extraction methods were adopted, gradient boosting method was used to select promising feature subset, and then particle swarm optimization algorithm was introduced to extract 24 most effective features, which reduces the number of sensors by 56% and saves the system cost. Respiratory samples were collected from 120 healthy subjects and 120 diabetic subjects to assess the system performance. Random forest algorithm was used to classify and predict electronic nose data, and the accuracy can reach 93.33%. Experimental results show that on the premise of ensuring accuracy, the system has low cost and small size after the number of sensors is optimized, and it is easy to install on in-car. It provides a more feasible method for the preliminary screening of diabetes on in-car and can be used as an assistant to the existing detection methods.