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BackgroundThe One Drop | Mobile app supports manual and passive (via HealthKit and One Drop’s glucose meter) tracking of self-care and glycated hemoglobin A1c (HbA1c). ObjectiveWe assessed the HbA1c change of a sample of people with type 1 diabetes (T1D) or type 2 diabetes (T2D) using the One Drop | Mobile app on iPhone and Apple Watch, and tested relationships between self-care tracking with the app and HbA1c change. MethodsIn June 2017, we identified people with diabetes using the One Drop | Mobile app on iPhone and Apple Watch who entered two HbA1c measurements in the app 60 to 365 days apart. We assessed the relationship between using the app and HbA1c change. ResultsUsers had T1D (n=65) or T2D (n=191), were 22.7% (58/219) female, with diabetes for a mean 8.34 (SD 8.79) years, and tracked a mean 2176.35 (SD 3430.23) self-care activities between HbA1c entries. There was a significant 1.36% or 14.9 mmol/mol HbA1c reduction (F=62.60, P

Obesity and type 2 diabetes disproportionately impact U.S. racial and ethnic minority communities and low-income populations. Improvements in implementing efficacious interventions to reduce the incidence of type 2 diabetes are underway (i.e., the National Diabetes Prevention Program), but challenges in effectively scaling-up successful interventions and reaching at-risk populations remain. In October 2017, the National Institutes of Health convened a workshop to understand how to (1) address socioeconomic and other environmental conditions that perpetuate disparities in the burden of obesity and type 2 diabetes; (2) design effective prevention and treatment strategies that are accessible, feasible, culturally relevant, and acceptable to diverse population groups; and (3) achieve sustainable health improvement approaches in communities with the greatest burden of these diseases. Common features of guiding frameworks to understand and address disparities and promote health equity were described. Promising research directions were identified in numerous areas, including study design, methodology, and core metrics; program implementation and scalability; the integration of medical care and social services; strategies to enhance patient empowerment; and understanding and addressing the impact of psychosocial stress on disease onset and progression in addition to factors that support resiliency and health.

Having a child with type 1 diabetes (T1D) impacts the entire family system. Parental distress and burden have been well studied, but other family members, including siblings, have received little attention. Based on research about family life and sibling experiences in other chronic condition populations (e.g., autism, cancer), we expected parents of youth with T1D would report that siblings participated in T1D management and that T1D had a psychological impact on siblings. As part of a larger qualitative study, parents of youth with T1D age 5-17 (M = 10.8 [+ or -] 3.6 years) participated in semistructured interviews about TID-specific health-related quality of life. For this study, we conducted secondary analyses on transcripts from 20 parents (95% mothers) from households with at least 1 sibling of the child with T1D. Three themes emerged: (a) siblings share the workload and help with T1D management, (b) T1D takes an emotional toll on siblings, and (c) parents feel guilty about prioritizing T1D over siblings' needs and desires. Parents recognized siblings have impactful roles in T1D management and family functioning. Future research into these themes can guide clinical and research efforts to develop sibling-inclusive resources and interventions for families with T1D. Enhancing family-focused interventions to recognize and support the needs of siblings may ultimately improve family TID-related quality of life. Public Significance Statement The needs and experiences of siblings of youth with chronic health conditions may be overlooked in clinical and research and care. This qualitative study highlights parents' perspectives on how siblings contribute to supporting youth with type 1 diabetes and how they may be affected by their sibling's diabetes. Findings suggest potential areas of need to support siblings. Keywords: type 1 diabetes, siblings, family, quality of life, qualitative research, Type 1 diabetes (T1D) management is demanding and affects many aspects of family life. Around-the-clock T1D management consists of monitoring blood glucose levels and managing blood glucose fluctuations by changing [...]

Introduction: Despite the significant impact of type 1 diabetes (T1D) on family, few instruments are available to assess health-related quality of life (HRQOL) among family members of people with T1D. This study aimed to develop and evaluate the psychometric properties of new measures of diabetes-specific HRQOL for parents and partners of people with T1D. We report on the multistep development and validation process for the self-report Type 1 Diabetes and Life (TIDAL) measures, with versions for parents of youth age Public Significance Statement This study developed a set of validated questionnaires to measure health-related quality of life in parents and partners of people with type 1 diabetes. The experiences of family members are important and have implications for the health and well-being of people with diabetes, yet there have been few measures to accurately and reliably assess their quality of life. These new measures can be used in clinical practice and research settings. Keywords: patient-reported outcomes, quality of life, psychosocial, assessment, family Supplemental materials: https://doi.org/10.1037/fsh0000507.supp, Patient-reported outcomes are important to assess and report in clinical trials and patient care (Lohr & Zebrack, 2009), especially for people with chronic conditions including type 1 diabetes (T1D) (Agiostratidou [...]

ObjectiveTo examine demographic, socioeconomic, and biological risk factors for all-cause, cardiovascular, and noncardiovascular mortality in patients with type 2 diabetes over 8 years and to construct mortality prediction equations.Research design and methodsBeginning in 2000, survey and medical record information was obtained from 8,334 participants in Translating Research Into Action for Diabetes (TRIAD), a multicenter prospective observational study of diabetes care in managed care. The National Death Index was searched annually to obtain data on deaths over an 8-year follow-up period (2000-2007). Predictors examined included age, sex, race, education, income, smoking, age at diagnosis of diabetes, duration and treatment of diabetes, BMI, complications, comorbidities, and medication use.ResultsThere were 1,616 (19%) deaths over the 8-year period. In the most parsimonious equation, the predictors of all-cause mortality included older age, male sex, white race, lower income, smoking, insulin treatment, nephropathy, history of dyslipidemia, higher LDL cholesterol, angina/myocardial infarction/other coronary disease/coronary angioplasty/bypass, congestive heart failure, aspirin, β-blocker, and diuretic use, and higher Charlson Index.ConclusionsRisk of death can be predicted in people with type 2 diabetes using simple demographic, socioeconomic, and biological risk factors with fair reliability. Such prediction equations are essential for computer simulation models of diabetes progression and may, with further validation, be useful for patient management.

BackgroundPatients who speak Spanish and/or have low socioeconomic status are at greater risk of suboptimal glycemic control. Inadequate intensification of anti-glycemic medications may partially explain this disparity.ObjectiveTo examine the associations between primary language, income, and medication intensification.DesignCohort study with 18-month follow-up.ParticipantsOne thousand nine hundred and thirty-nine patients with Type 2 diabetes who were not using insulin enrolled in the Translating Research into Action for Diabetes Study (TRIAD), a study of diabetes care in managed care.MeasurementsUsing administrative pharmacy data, we compared the odds of medication intensification for patients with baseline A1c ≥ 8%, by primary language and annual income. Covariates included age, sex, race/ethnicity, education, Charlson score, diabetes duration, baseline A1c, type of diabetes treatment, and health plan.ResultsOverall, 42.4% of patients were taking intensified regimens at the time of follow-up. We found no difference in the odds of intensification for English speakers versus Spanish speakers. However, compared to patients with incomes $75,000 (OR 2.22, 1.53-3.24) had increased odds of intensification. This latter pattern did not differ statistically by race.ConclusionsLow-income patients were less likely to receive medication intensification compared to higher-income patients, but primary language (Spanish vs. English) was not associated with differences in intensification in a managed care setting. Future studies are needed to explain the reduced rate of intensification among low income patients in managed care.

BackgroundStudies have associated thiazolidinedione (TZD) treatment with cardiovascular disease (CVD) and questioned whether the two available TZDs, rosiglitazone and pioglitazone, have different CVD risks. We compared CVD incidence, cardiovascular (CV), and all-cause mortality in type 2 diabetic patients treated with rosiglitazone or pioglitazone as their only TZD.MethodsWe analyzed survey, medical record, administrative, and National Death Index (NDI) data from 1999 through 2003 from Translating Research Into Action for Diabetes (TRIAD), a prospective observational study of diabetes care in managed care. Medications, CV procedures, and CVD were determined from health plan (HP) administrative data, and mortality was from NDI. Adjusted hazard rates (AHR) were derived from Cox proportional hazard models adjusted for age, sex, race/ethnicity, income, history of diabetic nephropathy, history of CVD, insulin use, and HP.ResultsAcross TRIAD's 10 HPs, 1,815 patients (24%) filled prescriptions for a TZD, 773 (10%) for only rosiglitazone, 711 (10%) for only pioglitazone, and 331 (4%) for multiple TZDs. In the seven HPs using both TZDs, 1,159 patients (33%) filled a prescription for a TZD, 564 (16%) for only rosiglitazone, 334 (10%) for only pioglitazone, and 261 (7%) for multiple TZDs. For all CV events, CV, and all-cause mortality, we found no significant difference between rosiglitazone and pioglitazone.ConclusionsIn this relatively small, prospective, observational study, we found no statistically significant differences in CV outcomes for rosiglitazone- compared to pioglitazone-treated patients. There does not appear to be a pattern of clinically meaningful differences in CV outcomes for rosiglitazone- versus pioglitazone-treated patients.

ObjectiveCardiovascular disease (CVD) mortality has decreased in men but not in women with diabetes. We investigated whether sex differences in control and treatment of CVD risk factors might underlie this disparity.Research design and methodsWe performed cross-sectional analyses from a cohort of patients with diabetes sampled from 10 U.S. managed care health plans. Study end points included not being in control for CVD risk factors (>or=140 mmHg for systolic blood pressure [SBP], >or=3.35 mmol/l for LDL cholesterol, and >or=8.0% for A1C) and the intensity of medication management (number of medication classes) for patients not in control. Logistic regression models with random intercepts were used to adjust probabilities of control and management for demographics, clinical characteristics, and clustering within health plans.ResultsThere were 1,315 women and 1,575 men with a history of CVD and 3,415 women and 2,516 men without a history of CVD. Among patients with CVD, adjusted estimated probabilities for not being in control and risk differences varied significantly between men and women for SBP (men 41.2%, women 46.6%; risk difference -5.4% [95% CI -9.5 to -1.3]) and LDL cholesterol (men 22.4%, women 28.3%; risk difference -5.9% [-9.9 to -1.8]). There were no significant sex differences in intensity of medication management for patients not in control. In patients without CVD there were no significant differences in control or intensity of medication management.ConclusionsIn diabetic patients with CVD, poorer control of SBP and LDL cholesterol for women may contribute to the sex disparity in CVD mortality trends.

BackgroundOur understanding of social disparities in diabetes-related health behaviors is incomplete. The purpose of this study was to determine if having less education is associated with poorer diabetes-related health behaviors.MethodsThis observational study was based on a cohort of 8,763 survey respondents drawn from ~180,000 patients with diabetes receiving care from 68 provider groups in ten managed care health plans across the United States. Self-reported survey data included individual educational attainment ("education") and five diabetes self-care behaviors among individuals for whom the behavior would clearly be indicated: foot exams (among those with symptoms of peripheral neuropathy or a history of foot ulcers); self-monitoring of blood glucose (SMBG; among insulin users only); smoking; exercise; and certain diabetes-related health seeking behaviors (use of diabetes health education, website, or support group in last 12 months). Predicted probabilities were modeled at each level of self-reported educational attainment using hierarchical logistic regression models with random effects for clustering within health plans.ResultsPatients with less education had significantly lower predicted probabilities of being a non-smoker and engaging in regular exercise and health-seeking behaviors, while SMBG and foot self-examination did not vary by education. Extensive adjustment for patient factors revealed no discernable confounding effect on the estimates or their significance, and most education-behavior relationships were similar across sex, race and other patient characteristics. The relationship between education and smoking varied significantly across age, with a strong inverse relationship in those aged 25-44, modest for those ages 45-64, but non-evident for those over 65. Intensity of disease management by the health plan and provider communication did not alter the examined education-behavior relationships. Other measures of socioeconomic position yielded similar findings.ConclusionThe relationship between educational attainment and health behaviors was modest in strength for most behaviors. Over the life course, the cumulative effect of reduced practice of multiple self-care behaviors among less educated patients may play an important part in shaping the social health gradient.

ObjectiveWe sought to determine whether greater implementation of clinical care strategies in managed care is associated with attenuation of known racial/ethnic disparities in diabetes care.Research design and methodsUsing cross-sectional data, we examined the quality of diabetes care as measured by frequencies of process delivery as well as medication management of intermediate outcomes, for 7426 black, Latinos, Asian/Pacific Islanders, and white participants enrolled in 10 managed care plans within 63 provider groups. We stratified models by intensity of 3 clinical care strategies at the provider group level: physician reminders, physician feedback, or use of a diabetes registry.ResultsExposure to clinical care strategy implementation at the provider group level varied by race and ethnicity, with

BackgroundAlthough disease management programs are widely implemented, little is known about their effectiveness.ObjectiveTo determine whether disease management by physician groups is associated with diabetes care processes, control of intermediate outcomes, or the amount of medication used when intermediate outcomes are above target levels.DesignCross-sectional study.SettingPatients were randomly sampled from 63 physician groups nested in 7 health plans sponsored by Translating Research into Action for Diabetes (87%) and from 4 health plans with individual physician contracts (13%).Patients8661 adults with diabetes who completed a survey (2000-2001) and had medical record data.MeasurementsPhysician group and health plan directors described their organizations' use of physician reminders, performance feedback, and structured care management on a survey; their responses were used to determine measures of intensity of disease management. The current study measured 8 processes of care, including most recent hemoglobin A1c level, systolic blood pressure, serum low-density lipoprotein cholesterol level, and several measures of medication use.ResultsIncreased use of any of 3 disease management strategies was significantly associated with higher adjusted rates of retinal screening, nephropathy screening, foot examinations, and measurement of hemoglobin A1c levels. Serum lipid level testing and influenza vaccine administration were associated with greater use of structured care management and performance feedback. Greater use of performance feedback correlated with an increased rate of foot examinations (difference, 5 percentage points [95% CI, 1 to 8 percentage points]), and greater use of physician reminders was associated with an increased rate of nephropathy screening (difference, 15 percentage points [CI, 6 to 23 percentage points]). No strategies were associated with intermediate outcome levels or level of medication management.LimitationsPhysician groups were not randomly sampled from population-based listings, and disease management strategies were not randomly allocated across groups.ConclusionsDisease management strategies were associated with better processes of diabetes care but not with improved intermediate outcomes or level of medication management. A greater focus on direct measurement, feedback, and reporting of intermediate outcome levels or of level of medication management may enhance the effectiveness of these programs.

Background: Moderate weight loss and physical activity (PA) can prevent or delay type 2 diabetes however there is a need for innovative, effective programs to promote PA in high-risk individuals. Purpose: We examined the effect of a group-based adaption of the DPP lifestyle intervention implemented in partnership with the YMCA (YDPP) on changes in moderate-vigorous physical activity (MVPA) in economically disadvantaged adults with prediabetes. The effects of psychosocial and community-level factors were explored. Methods: Participants were randomly assigned to YDPP or brief counseling. Accelerometer data from 216 participants were used to identify: 1) change in MVPA and 2) sedentary behavior over 24 months. Results: YDPP had no significant effect on either outcome. Baseline PA and crime were associated with less MVPA while higher perceived health and green space were associated with more MVPA over time. Baseline sedentary behavior, perceived health, and green space were inversely related to being sedentary. Discussion: Results suggest that changing dietary and PA behaviors simultaneously may adversely affect changes in PA. Translation to Health Education Practice: Additional research is needed to determine the preferred format for PA interventions. Peer mentoring should be considered. Research is needed to identify valid accelerometer cut points in sedentary, overweight adults.

ObjectiveThis study examines the association between physician gender and diabetes quality of care.Research design and methodsWe examined the association between the gender of primary care physicians (n = 1,686) and the quality of diabetes care they provided to their patients participating in the Translating Research Into Action for Diabetes (TRIAD) study. Main outcome measures were diabetes processes of care including receipt of dilated retinal exams, urine microalbumin/protein testing, foot exams, lipid and HbA(1c) (A1C) testing, recommendation to take aspirin, and influenza vaccination over 1 year. Intermediate outcomes included blood pressure, A1C, LDL levels, and patient satisfaction. Hierarchical regression models accounted for clustering within provider groups and health plans and adjusted for patient age, gender, race, income, education, diabetes treatment and duration, and health status, along with physician age, years of practice, and specialty.ResultsCompared with male physicians (n = 1,213), female physicians (n = 473) were younger, had more recently completed training, and were more often internists. Patients of female physicians (n = 4,585) were more often women and younger than patients of male physicians (n = 1,783). In adjusted analyses, patients of female physicians were slightly more likely to receive lipid measurements (predicted probability 1.09 [95% CI 1.02-1.15]) and A1C measurements (1.02 [1.00-1.05]) and were slightly more likely to have an LDL

BackgroundNo studies have compared care in the Department of Veterans Affairs (VA) with that delivered in commercial managed care organizations, nor have studies focused in depth on care comparisons for chronic, outpatient conditions.ObjectiveTo compare the quality of diabetes care between patients in the VA system and those enrolled in commercial managed care organizations by using equivalent sampling and measurement methods.DesignCross-sectional patient survey with retrospective review of medical records.Setting5 VA medical centers and 8 commercial managed care organizations in 5 matched geographic regions.Participants8205 diabetic patients: 1285 in the VA system and 6920 in commercial managed care.MeasurementsWe compared scores on identically specified quality measures for 7 diabetes care processes and 3 diabetes intermediate outcomes and on 4 dimensions of satisfaction. Scores were expressed as the percentage of patients receiving indicated care and were adjusted for patients' demographic and health characteristics.ResultsPatients in the VA system had better scores than patients in commercial managed care on all process measures (for example, 93% vs. 83% for annual hemoglobin A1c; P = 0.006; 91% vs. 75% for annual eye examination; P < 0.001). Blood pressure control was poor in both groups (52% to 53% of persons had blood pressure < 140/90 mm Hg), but patients in the VA system had better control of low-density lipoprotein cholesterol and hemoglobin A1c (for example, 86% vs. 72% for low-density lipoprotein cholesterol level < 3.37 mmol/L [

ObjectiveTo examine the association between the organizational model and diabetes processes of care.Research design and methodsWe used data from the Translating Research into Action for Diabetes (TRIAD), a multicenter study of diabetes care in managed care, including 8354 patients with diabetes. We identified five model types: for-profit group/network, for-profit independent practice association (IPA), nonprofit group/network, nonprofit IPA, and nonprofit group/staff. Process measures included retinal, renal, foot, lipid, and HbA(1c) testing; aspirin recommendations; influenza vaccination; and a sum of these seven processes of care over 1 year. Hierarchical regression models were constructed for each process measure and accounted for clustering at the health plan and provider group levels and adjusted for participant age, sex, race, ethnicity, diabetes treatment and duration, education, income, health status, and survey language.ResultsParticipant membership in the model types ranged from 9% in nonprofit IPA models to 38% in nonprofit group/staff models. Over 75% of participants received most of the processes of care, regardless of model type. However, among for-profit plans, group/network models provided on average more processes of care than IPA models (5.5 vs. 4.7, P < 0.0001), and group/network models generally increased the probability of receiving a process by >or=10 percentage points. Among nonprofit plans, no effect of model type was found.ConclusionsAmong for-profit plans, group/network models provided better diabetes processes of care than IPA models. Although reasons are speculative, this may be due to the clinical infrastructure available in group models that is not available in IPA models.

ObjectiveTo examine the effect of referral management on diabetes care.Study designCross-sectional analysis.Patients and methodsTranslating Research Into Action for Diabetes (TRIAD) is a multicenter study of managed care enrollees with diabetes. Prospective referral management was defined as "gatekeeping" and mandatory preauthorization from a utilization management office, and retrospective referral management as referral profiling and appropriateness reviews. Outcomes included dilated eye exam; self-reported visit to specialists; and perception of difficulty in getting referrals. Hierarchical models adjusted for clustering and patient age, gender, race, ethnicity, type and duration of diabetes treatment, education, income, health status, and comorbidity.ResultsReferral management was commonly used by health plans (55%) and provider groups (52%). In adjusted analyses, we found no association between any referral management strategies and any of the outcome measures.ConclusionsReferral management does not appear to have an impact on referrals or perception of referrals related to diabetes care.