Peripartum Maternal Hepatitis B Care in a US Nationwide Data Set.

BACKGROUND: Hepatitis B virus (HBV) screening during pregnancy is standard of care to prevent vertical transmission to infants, yet the mothers themselves may not receive appropriate follow-up. GOALS: Using a national database, we sought to determine rates of maternal peripartum follow-up with a HBV specialist and identify factors associated with a lack of follow-up. MATERIALS AND METHODS: We identified women who delivered in 2000 to 2012 and were diagnosed with HBV according to International Classification of Diseases-9 codes using a national database (Optum) derived from commercial insurance claims with ∼46 million members ages 0 to 64 in all 50 states. Our primary outcome was follow-up during or after pregnancy with a HBV specialist (gastroenterology/infectious diseases). RESULTS: The prevalence of HBV was 0.27% (2558/959,747 pregnancies), and median follow-up was 45 months. Only 21% of women had peripartum HBV specialist follow-up. On multivariable regression, predictors of peripartum follow-up at 1-year included younger age [odds ratio (OR), 0.97/y; 95% confidence interval (CI), 0.94, 0.99], Asian race/ethnicity (OR, 1.56 vs. white; 95% CI, 1.13, 2.17), and residing in the Northeast (OR, 1.70; 95% CI, 1.09, 2.66) and Midwest (OR, 1.73; 95% CI, 1.07, 2.81) versus West. Predictors of testing for HBV DNA and alanine aminotransferase at 1 year included Asian race (OR, 1.72; 95% CI, 1.23, 2.41), a primary care physician visit within 2 years of delivery (OR, 1.63; 95% CI, 1.19, 2.22), and peripartum HBV specialist follow-up within 1 year (OR, 15.68; 95% CI, 11.38, 21.60). CONCLUSIONS: Maternal HBV specialist follow-up rates were extremely low in this large, diverse cohort representing all United States regions. Referral to a HBV specialist was the strongest predictor of appropriate postpartum HBV laboratory testing. Follow-up rates may be even lower in uninsured populations.

Sex-Specific Associations of Maternal Gestational Glycemia with Hormones in Umbilical Cord Blood at Delivery.

Background Few studies have examined sex-specific associations of maternal gestational glycemia with cord blood hormones, which might predict later health. Methods In 976 women without pre-existing diabetes in the Project Viva cohort, we used linear regression to examine associations of maternal gestational glycemia with cord hormone concentrations, adjusted for maternal characteristics and stratified by infant sex. Results A total of 6.1% of women had gestational diabetes mellitus (GDM), 8.8% isolated hyperglycemia, 3.2% gestational impaired glucose tolerance, and 81.9% were normoglycemic. In boys, compared with infants of normoglycemic mothers, infants of GDM mothers had higher cord levels of IGF-2 (ß 35.55 ng/mL; 95% CI: 2.60, 68.50), IGFBP-3 (111.2 ng/mL; 5.53, 216.8), insulin (4.66 uU/mL; 2.38, 6.95), C-peptide (0.46 ng/mL; 0.25, 0.67), and leptin (3.51 ng/mL; 1.37, 5.64), but lower IGF-1 (-6.71 ng/mL; -12.7, - 0.76, adjusted for IGFBP-3). In girls, GDM offspring had higher cord blood levels of IGF-1 adjusted for IGFBP-3 (12.45 ng/mL; 4.85, 20.04). Boys, but not girls, of mothers with abnormal glucose tolerance but not GDM also had higher levels of some hormones. Conclusion GDM was associated with growth factors and adipokines in cord blood from boys, but only IGF-1 in girls. These findings suggest sex differences in responses to fetal overnutrition.

Rational use of electronic health records for diabetes population management.

Population management is increasingly invoked as an approach to improve the quality and value of diabetes care. Recent emphasis is driven by increased focus on both costs and measures of care as the US moves from fee for service to payment models in which providers are responsible for costs incurred, and outcomes achieved, for their entire patient population. The capacity of electronic health records (EHRs) to create patient registries, apply analytic tools, and facilitate provider- and patient-level interventions has allowed rapid evolution in the scope of population management initiatives. However, findings on the efficacy of these efforts for diabetes are mixed, and work remains to achieve the full potential of an-EHR based population approach. Here we seek to clarify definitions and key domains, provide an overview of evidence for EHR-based diabetes population management, and recommend future directions for applying the considerable power of EHRs to diabetes care and prevention.

Innovative uses of electronic health records and social media for public health surveillance.

Electronic health records (EHRs) and social media have the potential to enrich public health surveillance of diabetes. Clinical and patient-facing data sources for diabetes surveillance are needed given its profound public health impact, opportunity for primary and secondary prevention, persistent disparities, and requirement for self-management. Initiatives to employ data from EHRs and social media for diabetes surveillance are in their infancy. With their transformative potential come practical limitations and ethical considerations. We explore applications of EHR and social media for diabetes surveillance, limitations to approaches, and steps for moving forward in this partnership between patients, health systems, and public health.

Four-year longitudinal culinary and lifestyle medicine track for undergraduate medical students: development and implementation.

The importance of culinary and lifestyle medicine education to combat the growing burden of chronic disease is gaining recognition in the United States. However, few medical schools offer in-depth training with a 4-year longitudinal track. The Culinary and Lifestyle Medicine Track (CLMT) is a 4-year curriculum thread created at West Virginia University School of Medicine to address the need for comprehensive culinary and lifestyle medicine education. CLMT teaches concepts of healthy nutrition, physical activity, stress management, and restorative sleep. CLMT students complete approximately 300 h of in-person and virtual culinary and lifestyle medicine education, including hands-on teaching kitchens, distributed over the preclinical and clinical years. Students are selected into the track prior to matriculation after an application and interview process. The students have exceeded expectations for scholarly and community activity. Track graduates have entered into primary care as well as specialty and surgical residencies, demonstrating that lifestyle education plays a role for students interested in a wide range of careers. Exit survey responses from learners reflected tangible and intangible benefits of participation and offered constructive feedback for improvement. Presented here are the components of the curricular design, implementation, and initial outcomes.

Impact of emerging health insurance arrangements on diabetes outcomes and disparities: rationale and study design.

Consumer-directed health plans combine lower premiums with high annual deductibles, Internet-based quality-of-care information, and health savings mechanisms. These plans may encourage members to seek better value for health expenditures but may also decrease essential care. The expansion of high-deductible health plans (HDHPs) represents a natural experiment of tremendous proportion. We designed a pre-post, longitudinal, quasi-experimental study to determine the effect of HDHPs on diabetes quality of care, outcomes, and disparities. We will use a 13-year rolling sample (2001-2013) of members of an HDHP and members of a control group. To reduce selection bias, we will limit participants to those whose employers mandate a single health insurance type. The study will measure rates of monthly hemoglobin A1c, lipid, and albuminuria testing; availability of blood glucose test strips; and rates of retinal examinations, high-severity emergency department visits, and preventable hospitalizations. Results could be used to design health plan features that promote high-quality care and better outcomes among people who have diabetes.

Integrating clinical practice and public health surveillance using electronic medical record systems.

Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers' EMRs, analyze them for conditions of public health interest, and automatically communicate results to health departments. We describe a model EMR-based public health surveillance platform called Electronic Medical Record Support for Public Health (ESP). The ESP platform provides live, automated surveillance for notifiable diseases, influenza-like illness, and diabetes prevalence, care, and complications. Results are automatically transmitted to state health departments.

Postpartum screening for diabetes among women with a history of gestational diabetes mellitus.

INTRODUCTION: To make recommendations for future clinical, public health, and research practices for women with abnormal glucose tolerance during pregnancy, we reviewed the latest evidence regarding rates of postpartum diabetes screening and types of screening tests. METHODS: We searched PubMed for journal articles published from January 2008 through December 2010 that reported on postpartum screening and studies designed to prevent progression to type 2 diabetes among women with gestational diabetes mellitus (GDM). Two authors independently reviewed titles and abstracts from 265 articles. RESULTS: From 34% to 73% of women with GDM completed postpartum glucose screening. Predictors of higher screening rates included older age, nulliparity, and higher income or education. Screening rates varied by race/ethnicity; Asian women were more likely to be screened than were other racial/ethnic minorities. Women who received prenatal care, who were treated with insulin during pregnancy, or who completed a 6-week postpartum visit were also more likely to receive screening. A moderate proportion of women screened had type 2 diabetes (1.2%-4.5%) or prediabetes (12.2%-36.0%). CONCLUSION: Rates of postpartum screening among women with a history of GDM are low; only half of women in most populations are screened. Our findings can inform future screening initiatives designed to overcome barriers to screening for both providers and patients. Well-designed lifestyle interventions specific to women with a history of abnormal glucose tolerance during pregnancy and also studies to determine the efficacy and safety of pharmacological interventions will be important to help prevent progression to diabetes among these high-risk women.

Teaching Public and Population Health in Medical Education: An Evaluation Framework.

Curriculum models and training activities in medical education have been markedly enhanced to prepare physicians to address the health needs of diverse populations and to advance health equity. While different teaching and experiential learning activities in the public health and population health sciences have been implemented, there is no existing framework to measure the effectiveness of public and population health (PPH) education in medical education programs. In 2015, the Association of American Medical Colleges established the Expert Panel on Public and Population Health in Medical Education, which convened 20 U.S. medical faculty members whose goal was to develop an evaluation framework adapted from the New World Kirkpatrick Model. Institutional leaders can use this framework to assess the effectiveness of PPH curricula for learners, faculty, and community partners. It may also assist institutions with identifying opportunities to improve the integration of PPH content into medical education programs. In this article, the authors present outcomes metrics and practical curricular or institutional illustrations at each Kirkpatrick training evaluation level to assist institutions with the measurement of (1) reaction to the PPH education content, (2) learning accomplished, (3) application of knowledge and skills to practice, and (4) outcomes achieved as a result of PPH education and practice. A fifth level was added to measure the benefit of PPH curricula on the health system and population health. The framework may assist with developing a locally relevant evaluation to further integrate and support PPH education at U.S. medical schools and teaching hospitals.

Effect of High-Deductible Insurance on High-Acuity Outcomes in Diabetes: A Natural Experiment for Translation in Diabetes (NEXT-D) Study.

OBJECTIVE: High-deductible health plans (HDHPs) are now the predominant commercial health insurance benefit in the U.S. We sought to determine the effects of HDHPs on emergency department and hospital care, adverse outcomes, and total health care expenditures among patients with diabetes. RESEARCH DESIGN AND METHODS: We applied a controlled interrupted time-series design to study 23,493 HDHP members with diabetes, aged 12-64, insured through a large national health insurer from 2003 to 2012. HDHP members were enrolled for 1 year in a low-deductible (≤$500) plan, followed by 1 year in an HDHP (≥$1,000 deductible) after an employer-mandated switch. Patients transitioning to HDHPs were matched to 192,842 contemporaneous patients whose employers offered only low-deductible coverage. HDHP members from low-income neighborhoods (n = 8,453) were a subgroup of interest. Utilization measures included emergency department visits, hospitalizations, and total (health plan plus member out-of-pocket) health care expenditures. Proxy health outcome measures comprised high-severity emergency department visit expenditures and high-severity hospitalization days. RESULTS: After the HDHP transition, emergency department visits declined by 4.0% (95% CI -7.8, -0.1), hospitalizations fell by 5.6% (-10.8, -0.5), direct (nonemergency department-based) hospitalizations declined by 11.1% (-16.6, -5.6), and total health care expenditures dropped by 3.8% (-4.3, -3.4). Adverse outcomes did not change in the overall HDHP cohort, but members from low-income neighborhoods experienced 23.5% higher (18.3, 28.7) high-severity emergency department visit expenditures and 27.4% higher (15.5, 39.2) high-severity hospitalization days. CONCLUSIONS: After an HDHP switch, direct hospitalizations declined by 11.1% among patients with diabetes, likely driving 3.8% lower total health care expenditures. Proxy adverse outcomes were unchanged in the overall HDHP population with diabetes, but members from low-income neighborhoods experienced large, concerning increases in high-severity emergency department visit expenditures and hospitalization days.

Diabetes Outpatient Care and Acute Complications Before and After High-Deductible Insurance Enrollment: A Natural Experiment for Translation in Diabetes (NEXT-D) Study.

Importance: High-deductible health plans (HDHPs) have expanded under the Affordable Care Act and are expected to play a major role in the future of US health policy. The effects of modern HDHPs on chronically ill patients and adverse outcomes are unknown. Objective: To determine the association of HDHP with high-priority diabetes outpatient care and preventable acute complications. Design, Setting, and Participants: Controlled interrupted-time-series study using a large national health insurer database from January 1, 2003, to December 31, 2012. A total of 12 084 HDHP members with diabetes, aged 12 to 64 years, who were enrolled for 1 year in a low-deductible (≤$500) plan followed by 2 years in an HDHP (≥$1000) after an employer-mandated switch were included. Patients transitioning to HDHPs were propensity-score matched with contemporaneous patients whose employers offered only low-deductible coverage. Low-income (n = 4121) and health savings account (HSA)-eligible (n = 1899) patients with diabetes were subgroups of interest. Data analysis was performed from February 23, 2015, to September 11, 2016. Exposures: Employer-mandated HDHP transition. Main Outcomes and Measures: High-priority outpatient visits, disease monitoring tests, and outpatient and emergency department visits for preventable acute diabetes complications. Results: In the 12 084 HDHP members included after the propensity score match, the mean (SD) age was 50.4 (10.0) years; 5410 of the group (44.8%) were women. The overall, low-income, and HSA-eligible diabetes HDHP groups experienced increases in out-of-pocket medical expenditures of 49.4% (95% CI, 40.3% to 58.4%), 51.7% (95% CI, 38.6% to 64.7%), and 67.8% (95% CI, 47.9% to 87.8%), respectively, compared with controls in the year after transitioning to HDHPs. High-priority primary care visits and disease monitoring tests did not change significantly in the overall HDHP cohort; however, high-priority specialist visits declined by 5.5% (95% CI, -9.6% to -1.5%) in follow-up year 1 and 7.1% (95% CI, -11.5% to -2.7%) in follow-up year 2 vs baseline. Outpatient acute diabetes complication visits were delayed in the overall and low-income HDHP cohorts at follow-up (adjusted hazard ratios, 0.94 [95% CI, 0.88 to 0.99] for the overall cohort and 0.89 [95% CI, 0.81 to 0.98] for the low-income cohort). Annual emergency department acute complication visits among HDHP members increased by 8.0% (95% CI, 4.6% to 11.4%) in the overall group, 21.7% (95% CI, 14.5% to 28.9%) in the low-income group, and 15.5% (95% CI, 10.5% to 20.6%) in the HSA-eligible group. Conclusions and Relevance: Patients with diabetes experienced minimal changes in outpatient visits and disease monitoring after an HDHP switch, but low-income and HSA-eligible HDHP members experienced major increases in emergency department visits for preventable acute diabetes complications.

Disparities in Care for Publicly Insured Women With Pregestational Diabetes.

OBJECTIVE: To investigate the association among public health insurance, preconception care, and pregnancy outcomes in pregnant women with pregestational diabetes. METHODS: This is a retrospective cohort of pregnant women with pregestational type 1 or type 2 diabetes from 2006 to 2011 in Massachusetts-a state with universal insurance coverage since 2006. Women delivering after 24 weeks of gestation and receiving endocrinology and obstetric care in a multidisciplinary clinic were included. Rates of preconception consultation, our primary outcome of interest, were then compared between publicly and privately insured women. We used univariate analysis followed by logistic regression to compare receipt of preconception consultation and other secondary diabetes care measures and pregnancy outcomes according to insurance status. RESULTS: Fifty-four percent (n=106) of 197 women had public insurance. Publicly insured women were younger (median age 30.4 compared with 35.3 years, P<.01) with lower rates of college education (12.3% compared with 45.1%, P<.01). Women with public insurance were less likely to receive a preconception consult (5.7% compared with 31.9%, P<.01), had lower rates of hemoglobin A1C less than 6% at the onset of pregnancy (37.2% compared with 58.4%, P=.01), and experienced higher rates of pregnancies affected by congenital anomalies (10.4% compared with 2.2%, P=.02) compared with those with private insurance. In adjusted analyses controlling for educational attainment, maternal age, and body mass index, women with public insurance were less likely to receive a preconception consult (adjusted odds ratio [OR] 0.21, 95% CI 0.08-0.58), although the odds of achieving the target hemoglobin A1C (adjusted OR 0.45, 95% CI 0.20-1.02) and congenital anomaly (adjusted OR 2.23, 95% CI 0.37-13.41) were similar after adjustment. CONCLUSION: Despite continuous access to health insurance, publicly insured women were less likely than privately insured women to receive a preconception consult-an evidence-based intervention known to improve pregnancy outcomes. Improving use of preconception care among publicly insured women with diabetes is critical to reducing disparities in outcomes.

Contraception and postpartum follow-up in patients with gestational diabetes.

OBJECTIVES: We sought to review the effect of immediate provision of postpartum contraception on postpartum follow-up and screening for type 2 diabetes in women with gestational diabetes mellitus (GDM). STUDY DESIGN: We performed multivariate logistic regression to identify the association between immediate provision of postpartum contraception and attendance at the 6-week postpartum visit and performance of a 6- to 12-week oral glucose tolerance test, controlling for age, type of insurance, parity and race. RESULTS: Women who received contraception prior to hospital discharge were less likely to attend their postpartum visit [adjusted odds ratio (aOR) 0.59, 95% confidence interval (CI) 0.39-0.88], but just as likely to participate in postpartum diabetes screening (adjusted odds ratio (aOR) 1.27, 95% confidence interval (CI) 0.78-2.06). Attendance at the postpartum visit was associated with private insurance (OR 1.93, 95% CI 1.31-2.99). CONCLUSION: Receiving contraception while admitted postpartum did not affect follow-up for diabetes screening for women with GDM.

Variation in Postpartum Glycemic Screening in Women With a History of Gestational Diabetes Mellitus.

OBJECTIVE: To assess patterns and predictors of postpartum diabetes screening in a commercially insured, geographically and sociodemographically diverse sample of women with gestational diabetes mellitus. METHODS: Using commercial insurance claims (2000-2012) from all 50 states, we conducted a retrospective cohort study in 447,556 women with at least one delivery and continuous enrollment 1 year before and after delivery. We identified women with a gestational diabetes mellitus pregnancy and examined postpartum diabetes screening type and timing and performed logistic regression to identify screening predictors. RESULTS: Gestational diabetes mellitus was diagnosed in 32,253 (7.2%) women during the study timeframe. Three fourths received no screening within 1 year postpartum. Rates of recommended 75-g oral glucose tolerance testing within 6-12 weeks were low but increased over time (27 [2%] in 2001 compared with 249 [7%] in 2011, adjusted odds ratio [OR] 3.1, 95% confidence interval [CI] 2.0-47). Among women screened, those in the Northeast (19%) and South (18%) were least likely to receive a 75-g oral glucose tolerance test within 0-12 weeks (adjusted OR 0.4 for each, CI 0.4-0.5) compared with the West (36%). Asian women were most likely to receive any screening (18%; adjusted OR 1.5, CI 1.3-1.6) compared with white women (12%). Black women were most likely to receive hemoglobin A1c (21%; adjusted OR 2.0, CI 1.3-3.2) compared with white women (11%). Antepartum antiglycemic medication (21%; adjusted OR 2.1, CI 2.0-2.3) or visit to a nutritionist-diabetes educator (19%; adjusted OR 1.6, CI 1.4-1.7) or endocrinologist (23%; adjusted OR 1.7, CI 1.6-1.9) predicted screening within 12 weeks postpartum. CONCLUSION: Postpartum diabetes screening remains widely underused among commercially insured women with gestational diabetes mellitus. Differences in screening by geography, race, and antepartum care can inform health system and public health interventions to increase diabetes detection in this high-risk population.

Understanding why some women with a history of gestational diabetes do not get tested for diabetes.

BACKGROUND: The proportion of women with previous gestational diabetes mellitus (GDM) receiving postpartum diabetes testing is far less than desired. Even in health care systems with high testing rates, some women remain untested. We explored what helps and what hinders women to obtain recommended testing. METHODS: In this mixed methods study, we recruited 139 patients with a history of GDM in their most recent pregnancy (6 months to 4.5 years before study enrollment) from a delivery system that had instituted a quality improvement program to increase postpartum diabetes testing rates. We determined whether they had received a postpartum diabetes test according to American Diabetes Association guidelines. Using survey data, we ran logistic regression models to assess correlates of testing status, and we conducted in-depth interviews with 22 women to provide greater context to their survey responses. RESULTS: Of the 139 women, 21 women (15%) did not complete recommended diabetes testing. From the survey data, women who visited a primary care provider had 72% (95% CI, 0.09-0.83) lesser odds of not having been tested. From the qualitative interviews, difficulty fitting testing around work and caregiver demands were the most common reasons for not testing. Untested women interpreted providers' reassurances that diabetes would resolve after delivery and lack of reminders to reschedule missed appointments and to complete diabetes testing as indicators that their physicians were not concerned about their diabetes risk. CONCLUSIONS: Among hard-to-reach women, multiple demands on their time were common explanations for not receiving a postpartum diabetes test. Consistent messages regarding long-term diabetes risk during pregnancy, access to postpartum primary care and convenient lab appointments, and systematic reminders to providers and patients are approaches that, in combination, may influence more resistant women to test.

Participatory surveillance of diabetes device safety: a social media-based complement to traditional FDA reporting.

BACKGROUND AND OBJECTIVE: Malfunctions or poor usability of devices measuring glucose or delivering insulin are reportable to the FDA. Manufacturers submit 99.9% of these reports. We test online social networks as a complementary source to traditional FDA reporting of device-related adverse events. METHODS: Participatory surveillance of members of a non-profit online social network, TuDiabetes.org, from October 2011 to September 2012. Subjects were volunteers from a group within TuDiabetes, actively engaged online in participatory surveillance. They used the free TuAnalyze app, a privacy-preserving method to report detailed clinical information, available through the network. Network members were polled about finger-stick blood glucose monitors, continuous glucose monitors, and insulin delivery devices, including insulin pumps and insulin pens. RESULTS: Of 549 participants, 75 reported device-related adverse events, nearly half (48.0%) requiring intervention from another person to manage the event. Only three (4.0%) of these were reported by participants to the FDA. All TuAnalyze reports contained outcome information compared with 22% of reports to the FDA. Hypoglycemia and hyperglycemia were experienced by 48.0% and 49.3% of participants, respectively. DISCUSSION: Members of an online community readily engaged in participatory surveillance. While polling distributed online populations does not yield generalizable, denominator-based rates, this approach can characterize risk within online communities using a bidirectional communication channel that enables reach-back and intervention. CONCLUSIONS: Engagement of distributed communities in social networks is a viable complementary approach to traditional public health surveillance for adverse events related to medical devices.

Early microvascular recruitment modulates subsequent insulin-mediated skeletal muscle glucose metabolism during lipid infusion.

OBJECTIVE: To test whether early, insulin-mediated microvascular recruitment in skeletal muscle predicts steady-state glucose metabolism in the setting of physiological elevation of free fatty acid concentrations. RESEARCH DESIGN AND METHODS: We measured insulin's microvascular and metabolic effects in 14 healthy young adults during a 2-h euglycemic insulin clamp. Plasma free fatty acid concentrations were raised (Intralipid and heparin infusion) for 3 h before the clamp and maintained at postprandial concentrations during the clamp. Microvascular blood volume (MBV) was measured by contrast-enhanced ultrasound (CEU) continuously from baseline through the first 30 min of the insulin clamp. Muscle glucose and insulin uptake were measured by the forearm balance method. RESULTS: The glucose infusion rate (GIR) necessary to maintain euglycemia during the clamp varied by fivefold across subjects (2.5-12.5 mg/min/kg). The early MBV responses to insulin, as indicated by CEU video intensity, ranged widely, from a 39% decline to a 69% increase. During the clamp, steady state forearm muscle glucose uptake and GIR each correlated significantly with the change in forearm MBV (P < 0.01). To explore the basis for the wide range of vascular and metabolic insulin sensitivity observed, we also measured V(O(2max)) in a subset of eight subjects. Fitness (V(O(2max))) correlated significantly with the GIR, the forearm glucose uptake, and the percentage change in MBV during the insulin clamp (P < 0.05 for each). CONCLUSIONS: Early microvascular responses to insulin strongly associate with steady state skeletal muscle insulin-mediated glucose uptake. Physical fitness predicts both metabolic and vascular insulin responsiveness.

Participatory surveillance of hypoglycemia and harms in an online social network.

IMPORTANCE: Surveillance systems for elucidating the burden of hypoglycemia are limited. OBJECTIVE: To quantify experiences of hypoglycemia and related harms, members of an international online diabetes social network with insulin-dependent diabetes mellitus were polled through a software application ("app"). Aggregate results were returned to participants through network channels. DESIGN: The study period was from March 2011 through April 2012, during which time retrospective reports about experiences with hypoglycemia and related harms were collected from participants using the app. SETTING: The study was undertaken within the TuDiabetes.org international online diabetes social network. PARTICIPANTS: Eligibility criteria included TuDiabetes membership, age 13 years or older, a self-reported diagnosis of diabetes mellitus, ability to read and write English, and Internet access. Of 2827 app users, 687 (response rate, 24.3%) opted in to the volunteer sample. MAIN OUTCOME MEASURES: Primary outcomes included the following: frequency of "going low" (having a low glucose value in the past 2 weeks) and episodes of severe hypoglycemia (in the past 12 months), and, for respondents reporting recent and/or severe hypoglycemia, lifetime experience of vehicle crashes or severe medical injury, daily debilitating worry, and withdrawal from driving, exercise, sex, and going outside of the home to avoid hypoglycemia and consequences. Secondary outcomes included measures of research engagement. RESULTS: Of 613 respondents (24.3% of app users), 49.1% reported more than 4 episodes of "going low" in the past 2 weeks and 29.2% reported 1 or more severe low in the past year; 16.6% reported both more than 4 recent low episodes and 1 or more severe event in the past year. Harms were common, including daily debilitating worry (45.8%), vehicle crash or injury (15.0%), and withdrawal from exercise, driving, leaving home, and having sex (54.0%, 37.4%, 24.8%, and 22.7%, respectively). Of all respondents, 54.2% reported multiple harms, the risks for which were highest (73.7%) among respondents with a past-year severe event (odds ratio, 2.39; 95% CI, 1.60-3.58; P < .001 controlling for frequent recent low episodes and demographic and disease factors). Engagement was high, with 96.6% of the sample permitting recontact for research and 31.7% posting personal study data on their app profile page; 40.5% of 2825 unique page views of research-related materials published on the community site involved views of returned research results. CONCLUSIONS AND RELEVANCE: Participatory surveillance of hypoglycemia in an online diabetes social network enables characterization of patient-centered harms in a community sample and bidirectional communication with affected persons, augmenting traditional surveillance.

Automated detection and classification of type 1 versus type 2 diabetes using electronic health record data.

OBJECTIVE: To create surveillance algorithms to detect diabetes and classify type 1 versus type 2 diabetes using structured electronic health record (EHR) data. RESEARCH DESIGN AND METHODS: We extracted 4 years of data from the EHR of a large, multisite, multispecialty ambulatory practice serving ∼700,000 patients. We flagged possible cases of diabetes using laboratory test results, diagnosis codes, and prescriptions. We assessed the sensitivity and positive predictive value of novel combinations of these data to classify type 1 versus type 2 diabetes among 210 individuals. We applied an optimized algorithm to a live, prospective, EHR-based surveillance system and reviewed 100 additional cases for validation. RESULTS: The diabetes algorithm flagged 43,177 patients. All criteria contributed unique cases: 78% had diabetes diagnosis codes, 66% fulfilled laboratory criteria, and 46% had suggestive prescriptions. The sensitivity and positive predictive value of ICD-9 codes for type 1 diabetes were 26% (95% CI 12-49) and 94% (83-100) for type 1 codes alone; 90% (81-95) and 57% (33-86) for two or more type 1 codes plus any number of type 2 codes. An optimized algorithm incorporating the ratio of type 1 versus type 2 codes, plasma C-peptide and autoantibody levels, and suggestive prescriptions flagged 66 of 66 (100% [96-100]) patients with type 1 diabetes. On validation, the optimized algorithm correctly classified 35 of 36 patients with type 1 diabetes (raw sensitivity, 97% [87-100], population-weighted sensitivity, 65% [36-100], and positive predictive value, 88% [78-98]). CONCLUSIONS: Algorithms applied to EHR data detect more cases of diabetes than claims codes and reasonably discriminate between type 1 and type 2 diabetes.