Search

Background: Criminal justice involvement (CJI) is a social risk in adults with both diabetes and substance use, however, the relationship between CJI, diabetes, and substance use disorders is not well studied., Methods: Data from a nationally representative sample of U.S. adults with diabetes from the National Survey of Drug Use and Health (2015-2018) were used to establish the prevalence of the following substance use disorders: alcohol, opioid, cannabis, cocaine, and methamphetamine, or a composite variable for any substance use disorder. Multiple logistic regression was used to test the association between CJI and each substance use disorder in adults with diabetes controlling for relevant covariates., Results: Of 11,594 respondents representing 25,834,422 U.S. adults with diabetes, 17.1% reported prior CJI. Prevalence of substance use disorders was significantly higher in individuals with CJI compared to those without CJI (alcohol: 8.3 vs. 2.2; opioid: 2.1 vs. 0.4; cannabis: 1.4 vs. 0.2; cocaine: 1.2 vs. 0.1; methamphetamine: 1.2 vs. 0.1; any substance: 11.86 vs. 2.78; p <0.001 for all). In fully adjusted models, odds of substance use disorders were significantly higher in individuals with CJI (alcohol: odds ratio [OR] 2.76, 95% confidence interval [CI]: 2.01-3.82; opioid: OR 5.08, 95% CI: 2.25-11.47; cannabis: OR 5.05, 95% CI: 2.60-9.81; cocaine: OR 23.62, 95% CI: 5.59-99.82; methamphetamine: OR 40.66, 95% CI: 13.23-124.95; any substance: OR 7.19, 95% CI: 4.47-11.56)., Conclusion: In adults with diabetes, prevalence of substance use disorder is high among those with CJI. Interventions that target substance use disorders are needed in this population., Competing Interests: No competing financial interests exist., (© Laura C. Hawks et al., 2022; Published by Mary Ann Liebert, Inc.)

Objective: This systematic review examined and synthesized peer-reviewed research studies that reported the process of integrating social determinants of health (SDOH) or social needs screening into electronic health records (EHRs) and the intervention effects in the United States., Methods: Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, a systematic search of Scopus, Web of Science Core Collection, MEDLINE, and Cochrane Central Register of Clinical Trials was performed. English language peer-reviewed studies that reported the process of integrating SDOH or social needs screening into EHRs within the U.S. health systems and published between January 2015 and December 2021 were included. The review focused on process measures, social needs changes, health outcomes, and health care cost and utilization., Results: In total, 28 studies were included, and half were randomized controlled trials. The majority of the studies targeted multiple SDOH domains. The interventions vary by the levels of intensity of their approaches and heterogeneities in outcome measures. Most studies (82%, n =23) reported the findings related to the process measures, and nearly half (43%, n =12) reported outcomes related to social needs. By contrast, only 39% ( n =11) and 32% ( n =9) of the studies reported health outcomes and impact on health care cost and utilization, respectively. Findings on patients' social needs change demonstrated improved access to resources. However, findings were mixed on intervention effects on health and health care cost and utilization. We also identified gaps in implementation challenges to be overcome., Conclusion: Our review supports the current policy efforts to increase U.S. health systems' investment toward directly addressing SDOH. While effective interventions can be more complex or resource intensive than an online referral, health care organizations hoping to achieve health equity and improve population health must commit the effort and investment required to achieve this goal., Competing Interests: No competing financial interests exist., (© Alice F. Yan et al., 2022; Published by Mary Ann Liebert, Inc.)

Background: Exposure to the criminal legal system is associated with negative health outcomes and profound socioeconomic health disparities. The social adaptability index (SAI) is a validated composite scale based on five indicators of socioeconomic status; a higher score predicts better health outcomes. However, little is known about the relationship between cumulative social risk factors as measured by the SAI and lifetime criminal legal involvement (CLI)., Methods: Using a cross-sectional, nationally representative sample of U.S. adults, we calculated SAI score by lifetime CLI status, and used logistic regression with predictive margins to calculate risk of lifetime CLI by SAI quartile adjusting for demographic and clinical covariates., Results: A total of 213,678 participants were included, among whom 16.8% reported lifetime CLI. Mean SAI score was lower among those with lifetime CLI compared with those without (7.77, 95% confidence interval [CI]: 7.72-7.83 vs. 8.52, 95% CI: 8.50-8.55). There was a linear association between SAI quartile and predicted probability of lifetime CLI: first quartile: 23.9% (95% CI: 23.0-24.7); second quartile: 19.2% (95% CI: 18.6-19.8); third quartile: 17.5% (95% CI: 16.9-18.1); and fourth quartile: 12.5% (95% CI: 12.1-13.0)., Conclusion: The SAI score is associated in a reverse linear manner with lifetime risk of CLI, suggesting that to successfully improve health outcomes among those with CLI, interventions may need to target multiple SAI components simultaneously. Interventions that successfully position individuals to achieve higher social adaptability by targeting multiple factors may reduce the health-harming effects of exposure to the criminal legal system., Competing Interests: Authors declare no conflicts of interest or competing interests., (© Laura C. Hawks et al., 2022; Published by Mary Ann Liebert, Inc.)

Objective: The objective of this study was to examine whether delivering technology-assisted case management (TACM) with medication titration by nurses under physician supervision is cost effective compared with usual care (standard office procedures) in low-income rural adults with type 2 diabetes. Methods: One hundred and thirteen low-income, rural adults with type 2 diabetes and hemoglobin A1c (HbA1c) ≥8%, were randomized to a TACM intervention or usual care. Effectiveness was measured as differences in HbA1c between the TACM and usual care groups at 6 months. Total cost per patient included intervention or usual care cost, medical care cost, and income loss associated with lost workdays. The total cost per patient and HbA1c were used to estimate a joint distribution of incremental cost and incremental effect of TACM compared with usual care. Incremental cost-effectiveness ratios (ICERs) were estimated to summarize the cost-effectiveness of the TACM intervention relative to usual care to decrease HbA1c by 1%. Results: Costs due to intervention, primary care, other health care, emergency room visits, and workdays missed showed statistically significant differences between the groups (usual care $1,360.49 vs. TACM $5,379.60, p =0.004), with an absolute cost difference of $4,019.11. Based on the intervention cost per patient and the change in HbA1c, the median bootstrapped ICERs was estimated to be $6,299.04 (standard error=731.71) per 1% decrease in HbA1c. Conclusion: Based on these results, a 1% decrease in HbA1c can be obtained with the TACM intervention at an approximate cost of $6,300; therefore, it is a cost-effective option for treating vulnerable populations of adults with type 2 diabetes., Competing Interests: No competing financial interests exist., (© Leonard E. Egede et al., 2021; Published by Mary Ann Liebert, Inc.)

Background: Evidence suggests that women have increased health care costs; however, little is known about expenditures for women with diabetes compared with men with diabetes. The objective of this study was to calculate expenditures for men and women and to identify factors associated with increased costs in women. Materials and Methods: Adults with diabetes ( n  = 2,078) from the 2011 Medical Expenditure Panel Survey (MEPS) were identified. A generalized linear model with gamma distribution and log link was used to estimate incremental expenditure in women compared with men and to identify reasons for this difference. Sequential models were analyzed by entering variables in blocks (demographics, medical comorbidities, mental comorbidity and disability, and functional limitation). IRB approval was waived for this secondary data analysis. Results: Unadjusted mean total expenditures were $12,485 for women with diabetes compared with $10,828 for men ( p  = 0.04). In the model with demographic variables and medical comorbidities, expenditures for women increased to $1,720 ( p  = 0.03) (95% confidence interval [CI] 164-3,266) compared with men. With a comorbid mental health disorder, expenditures for women decreased slightly, but they remained significantly higher than for men at $1,668 ( p  = 0.04) (95% CI 104-3,222). In the final analysis with all variables, incremental expenditures increased by $1,314 for women compared with men and were no longer statistically significantly higher than for men ( p  = 0.10; 95% CI -257 to 2,933). Conclusions: Our findings show that women with diabetes have increased expenditures for health care compared with men with diabetes. Increased functional limitation and disability in women account for incremental increases in costs, which suggest a need for more efforts to manage disability burden in women with diabetes., (© Joni S. Williams and Leonard E. Egede 2020; Published by Mary Ann Liebert, Inc.)

Purpose: Traumatic brain injury (TBI) is a signature injury among the U.S. veterans. Hispanic U.S. veterans diagnosed with TBI have been found to have higher risk-adjusted mortality. This study examined the adjusted association of geographic location with all-cause mortality in 114,593 veterans diagnosed with TBI between January 1, 2000 and December 31, 2010, and followed through December 31, 2014. Methods: National Veterans Health Administration (VHA) databases containing administrative data including International Classification of Diseases, 9th Revision ( ICD-9 ) codes, sociodemographic characteristics, and survival were linked. TBI was identified based on ICD-9 codes. Cox proportional hazards regression methods were used to examine the association of time from first TBI ICD-9 code to death with geographic location, after adjustment for TBI severity, race/ethnicity, other sociodemographic characteristics, military factors, and Elixhauser comorbidities. Results: Relative to urban mainland veterans with a median survival of 76.4 months, veterans living in the U.S. territories had a median survival of 69.1 months, whereas rural mainland veterans had a median survival of 77.1 months, and highly rural mainland veterans had a mean survival of 77.6 months. The final model adjusted for race/ethnicity, TBI severity, sociodemographic, military, and comorbidity covariates showed that residing in the U.S. territories was associated with a higher risk of death (hazard ratios=1.24; 95% confidence interval 1.15-1.34) relative to residing on the U.S. mainland. The race/ethnicity disparity previously found for the U.S. veterans diagnosed with TBI seems to be accounted for by living in the U.S. territories. Conclusion: The study shows that among veterans with TBI, mortality rates were higher in those who reside in the U.S. territories, even after adjustment. Previous documented higher mortality among Hispanic veterans seems to be explained by residing in the U.S. territories. The VA has a mission of ensuring equitable treatment of all veterans, and should investigate targeted policies and interventions to improve the survival of the U.S. territory veterans diagnosed with TBI., Competing Interests: No competing financial interests exist.

Objective: To assess the efficacy of technology-assisted case management (TACM) with medication titration by nurses using guideline-based algorithms, under physician supervision in improving glycemic control in low-income rural adults with poorly controlled type 2 diabetes., Research Design and Methods: Adults (aged ≥18 years) from the southeastern United States with hemoglobin A1c [HbA1c] ≥8% were randomized to TACM or usual care. Evidence-based guidelines were used to develop medication titration algorithms in conjunction with clinic physicians. Participants were given a telehealth device that uploaded blood glucose and blood pressure readings daily to a central server. A nurse case manager was trained on the algorithms and authorized to titrate medications every 2 weeks based on the algorithm under the supervision of an internist and an endocrinologist. Participants were assessed at baseline, 3 months, and 6 months. The primary outcome was HbA1c at 6-months postrandomization in the intent-to-treat (ITT) population., Results: One hundred thirteen participants were randomized to either TACM intervention or usual care. Based on ITT population after multiple imputation, the analysis of covariance with baseline HbA1c as covariate showed that HbA1c at 6 months for TACM was significantly lower compared to the usual care group (-0. 99, P = 0.024). Moreover, longitudinal mixed effects analysis suggested that the rate of decline in HbA1c over time for TACM was significantly faster compared to the usual care group (-0.16, P = 0.038). Results based on per-protocol population were similar., Conclusions: Technology-assisted case management by a nurse with medication titration under physician supervision is efficacious in improving glycemic control in low-income rural adults with poorly controlled type 2 diabetes.

Background: The Affordable Care Act places a newfound emphasis on patient-centered medical home and patient-centered care (PCC). The purpose of this study was to evaluate the relationship between PCC, diabetes self-care, glycemic control, and quality of life (QOL) in a sample of adults with type 2 diabetes., Methods: Six hundred fifteen patients were recruited from two adult primary care clinics in the southeastern United States. Primary outcome variables were self-care behaviors (medication adherence, diet, exercise, blood sugar testing, and foot care), glycemic control, and QOL (physical component summary [PCS] score and mental component summary [MCS] score of SF12). PCC was assessed using a modified 7-item Picker Patient Experience Questionnaire. Regression modeling was used to assess independent associations while adjusting for relevant covariates., Results: In adjusted analyses, PCC was significantly associated with PCS QOL (β = -0.03, 95% confidence interval [CI] -0.05 to -0.01), MCS QOL (β = 0.09, 95% CI 0.04-0.14), medication adherence (β = 0.12, 95% CI 0.08-0.17), general diet (β = 0.12, 95% CI 0.07-0.17), specific diet (β = 0.05, 95% CI 0.01-0.08), blood sugar testing (β = 0.09, 95% CI 0.04-0.15), and foot care (β = 0.12, 95% CI 0.07-0.18)., Conclusion: PCC is associated with diabetes self-management and QOL, but was not significantly associated with glycemic control in patients with diabetes. PCC may be an important factor in self-care behaviors, but the process of focusing care around the patient may need to expand throughout the healthcare system before changes in outcomes such as glycemic control are noted., Competing Interests: Author Disclosure Statement No competing financial interests exist.

Background: Discrimination is a social determinant that has been linked to poor physical and mental health outcomes. This study aimed to examine the pathway whereby discrimination influences quality of life in patients with type 2 diabetes., Subjects and Methods: Six hundred fifteen patients were recruited from two adult primary care clinics in the southeastern United States. Measures included perceived discrimination, perceived stress, social support, and social cohesion and were based on a theoretical model for the pathways by which perceived discrimination influences mental and physical health. Quality of life was measured using the SF-12 questionnaire., Results: The final model [χ(2)(106) = 157.35, P = 0.009, R(2) = 0.99, root mean square error of approximation = 0.03, comparative fit index = 0.99] indicates direct effects of higher perceived stress (r = -1.02, P < 0.05) and lower social support (r = 0.36, P < 0.001) significantly related to decreased mental health component score (MCS) of quality of life. Discrimination and social cohesion were not significantly directly related to MCS. However, higher discrimination (r = 0.47, P < 0.001), higher social cohesion (r = 0.14, P < 0.05), and lower social support (r = -0.43, P < 0.001) were significantly directly related to increased stress. No significant paths were found for the physical component score of quality of life., Conclusions: Perceived discrimination was significantly associated with stress and served as a pathway to influence the mental health component of quality of life (MCS). Social support had a direct and an indirect effect on MCS through a negative association with stress. These results suggest that future interventions should be developed to decrease stress and increase social support surrounding discrimination to improve the MCS of quality of life in patients with diabetes.

Background: Discrimination has been linked to negative health outcomes, but little research has investigated different types of discrimination to determine if some have a greater impact on outcomes. We examined the differential effect of discrimination based on race, level of education, gender, and language on glycemic control in adults with type 2 diabetes., Patients and Methods: Six hundred two patients with type 2 diabetes from two adult primary care clinics in the southeastern United States completed validated questionnaires. Questions included perceived discrimination because of race/ethnicity, level of education, sex/gender, or language. A multiple linear regression model assessed the differential effect of each type of perceived discrimination on glycemic control while adjusting for relevant covariates, including race, site, gender, marital status, duration of diabetes, number of years in school, number of hours worked per week, income, and health status., Results: The mean age was 61.5 years, and the mean duration of diabetes was 12.3 years. Of the sample, 61.6% were men, and 64.9% were non-Hispanic black. In adjusted models, education discrimination remained significantly associated with glycemic control (β=0.47; 95% confidence interval, 0.03, 0.92). Race, gender and language discrimination were not significantly associated with poor glycemic control in either unadjusted or adjusted analyses., Conclusions: Discrimination based on education was found to be significantly associated with poor glycemic control. The findings suggest that education discrimination may be an important social determinant to consider when providing care to patients with type 2 diabetes and should be assessed separate from other types of discrimination, such as that based on race.

Background: The aim of this study was to investigate if self-care is the pathway through which social determinants of health impact diabetes outcomes by analyzing the direct and indirect effects of socioeconomic and psychosocial factors on self-care and glycemic control., Subjects and Methods: Six hundred fifteen adults were recruited from two primary care clinics in the southeastern United States. A series of confirmatory factor analyses identified the latent factors underlying social status, psychosocial determinants (psychological distress, self-efficacy, and social support), and self-care (diet, exercise, foot care, glucose testing, and medication adherence). Structured equation modeling investigated the relationship among social determinants, self-care and glycemic control., Results: Latent variables were created for diabetes self-care, psychological distress, self-efficacy, social support, and social status. The final model [χ(2)(275)=450.07, P<0.001, R(2)=99, root mean square error of approximation=0.03, comparative fit index=0.98] showed lower psychological distress (r=-0.13, P=0.012), higher social support (r=0.14, P=0.01), and higher self-efficacy (r=0.47, P<0.001) were significantly related to diabetes self-care. Lower psychological distress (r=0.10, P=0.03), lower social support (r=0.10, P=0.02), and higher self-efficacy (r=-0.37, P<0.001) were significantly related to lower glycemic control. When social determinants of health variables were included in the model, self-care was no longer significantly associated with glycemic control (r=0.01, P=0.83)., Conclusions: This study suggests a direct relationship between psychosocial determinants of health and glycemic control. Although associated with self-care, the relationship between social determinants of health and glycemic control is not mediated by self-care. Development of interventions should take psychosocial factors into account as independent influences on diabetes outcomes, rather than as indirect influences via self-care behavior.

Objective: Disparities in outcomes for cardiovascular disease (CVD) exist between men and women with type 2 diabetes mellitus (T2DM). We examined gender differences in composite control of cardiovascular risk factors in a sample of adults with T2DM., Subjects and Methods: This was a cross-sectional study of 680 people recruited from three primary care settings. Primary outcomes were individual and composite control of CVD risk factors. Control of individual risk outcomes was defined as glycosylated hemoglobin A1c (HbA1c) level of <7%, blood pressure (BP) of <130/80 mm Hg, and low-density lipoprotein (LDL) cholesterol level of <100 mg/dL. Composite control was defined as having all three outcomes under control simultaneously. Linear and logistic regression models were used to assess differences in individual means and individual and composite outcomes control between men and women, while adjusting for relevant covariates., Results: Men made up 56% of the sample, approximately 67% were non-Hispanic black, and 78% made less than $35,000 annually. Unadjusted mean systolic BP (134 mm Hg vs. 130 mm Hg, P=0.005) and LDL cholesterol (99.7 mg/dL vs. 87.6 mg/dL, P<0.001) levels were significantly higher in women than in men. Adjusted linear regression showed mean diastolic BP (β=3.09; 95% confidence interval 0.56, 5.63) was significantly higher in women. Overall, 12.4% of the sample had composite control, and women had poorer composite control compared with men (5.9% vs. 17.3%). Adjusted logistic models showed that men were significantly more likely to have composite risk factor control (odds ratio 2.90; 95% confidence interval 1.37, 6.13) compared with women., Conclusions: In this sample of adults with T2DM, women had significantly lower composite control compared with men, when adjusting for relevant confounders. It is imperative that women are informed about CVD risk factors, educated on how to reduce them, and aggressively treated to avoid adverse outcomes. Additional research involving women is needed to explore and reduce disparities in CVD risk between men and women with T2DM.

Background: Evidence suggests that empowerment is an important factor to address everyday aspects of dealing with a chronic disease. This study evaluated the effect of diabetes empowerment on medication adherence and self-care behaviors in adults with type 2 diabetes., Subjects and Methods: Data on 378 subjects with type 2 diabetes recruited from two primary care clinics in the southeastern United States were examined. Previously validated scales were used to measure diabetes empowerment, medication adherence, diabetes knowledge, and diabetes self-care behaviors (including diet, physical activity, blood sugar testing, and foot care). Multiple linear regression was used to assess the independent effect of diabetes empowerment on medication adherence and self-care behaviors controlling for relevant covariates., Results: Eighty-three percent were non-Hispanic blacks, 69% were women, 22% were 65 years or older, 68% were not married, 26% had less than high school education, 60% were unemployed, 39% were uninsured, and 47% had a yearly income <$10,000. Empowerment had significant correlations with medication adherence (r=0.17, P<0.003), diabetes knowledge (r=0.16, P=0.007), diet (r=0.24, P<0.001), exercise (r=0.25, P<0.001), blood sugar testing (r=0.12, P=0.043), and foot care (r=0.18, P=0.002). In the regression model, diabetes empowerment was significantly associated with medication adherence (β=-0.04, P=0.001), diabetes knowledge (β=0.09, P=0.012), diet (β=0.09, P<0.001), exercise (β=0.10, P<0.001), blood sugar testing (β=0.07, P=0.016), and foot care (β=0.08, P=0.001)., Conclusions: In this sample, diabetes empowerment was related to better diabetes knowledge, medication adherence and improved self-care behaviors. Emphasis on empowerment and self-efficacy is relevant to improve outcomes in the management of diabetes.

Objective: This study assessed associations among health literacy, diabetes knowledge, self-care, and glycemic control in a low income, predominately minority population with type 2 diabetes., Methods: One hundred twenty-five adults with diabetes were recruited from a primary care clinic. Subjects completed validated surveys to measure health literacy, diabetes knowledge, and self-care (medication adherence, diet, exercise, blood sugar testing, and foot care). Hemoglobin A1c values were extracted from the medical record. Spearman's correlation and multiple linear regression were used to assess the relationship among health literacy, diabetes knowledge, self-care, and glycemic control controlling for covariates., Results: Cronbach's α was 0.95 for the Revised Rapid Estimate of Adult Literacy in Medicine. The majority of the sample was <65 years old (50.7%), female (72.5%), and African American (71.4%), had less than a high school education (68.2%) and a household income < $15,000 (64.2%), and reported their health status as worse than last year (73.9%). In adjusted models that examined the associations among health literacy, diabetes knowledge, medication adherence, and self-care, health literacy was only significantly associated with diabetes knowledge (β = 0.55; 95% confidence interval [CI] 0.29, 0.82). In the final adjusted model for independent factors associated with glycemic control, both diabetes knowledge (β = 0.12; 95% CI 0.01, 0.23) and perceived health status (β = 1.14; 95% CI 0.13, 2.16) were significantly associated with glycemic control, whereas health literacy was not associated with glycemic control (β = -0.03; 95% CI -0.19, 0.13)., Conclusions: Diabetes knowledge and perceived health status are the most important factors associated with glycemic control in this population. Health literacy appears to exert its influence through diabetes knowledge and is not directly related to self-care or medication adherence.

Background: particular psychiatric disorders, such as depression, have a significant and negative effect on diabetes outcomes. However, we know very little about the impact of other psychiatric disorders, and of the effect of multiple psychiatric comorbidities, on the clinical course of diabetes. As such, the present study examined the impact of a wide range of psychiatric comorbidities on all-cause mortality in individuals with type 2 diabetes., Methods: retrospective follow-up was conducted of 15,065 veterans with type 2 diabetes enrolled in hospital care between 1997 and 2006. Clinical diagnoses from patient records were used to construct four psychiatric disorder scales: internalizing (i.e., depression and anxiety); externalizing (i.e., alcohol and drug abuse); psychotic; and bipolar. Longitudinal relationships were examined between these scales and mortality using Cox regression., Results: only externalizing disorders were significantly associated with mortality: hazard ratio = 1.22 (95% confidence interval = 1.02-1.47). In other words, each additional diagnosed externalizing disorder increased an individual's chance of dying over the follow-up period by 22%. This association remained significant when demographics and medical comorbidities were statistically controlled, but was rendered nonsignificant when medication adherence was introduced to the regression model., Conclusions: the results provide evidence that among individuals with diabetes, alcohol and drug abuse/dependence have a significant impact on mortality. This increased risk of mortality may have been due to the association between psychiatric disorders and adherence to antidiabetes medications observed in the present study. Individuals with co-occurring diabetes and alcohol or drug abuse should be targeted for intensive interventions given their acute increased risk of mortality.

Background: Although limited health literacy is a barrier to disease management and has been associated with poor glycemic control, the mechanisms underlying the relationships between health literacy and diabetes outcomes are unknown. We examined the relationships between health literacy, determinants of diabetes self-care, and glycemic control in adults with type 2 diabetes., Methods: Patients with diabetes were recruited from an outpatient primary care clinic. We collected information on demographics, health literacy, diabetes knowledge, diabetes fatalism, social support, and diabetes self-care, and hemoglobin A1c values were extracted from the medical record. Structural equation models tested the predicted pathways linking health literacy to diabetes self-care and glycemic control., Results: No direct relationship was observed between health literacy and diabetes self-care or glycemic control. Health literacy had a direct effect on social support (r = -0.20, P < 0.05) and through social support had an indirect effect on diabetes self-care (r = -0.07) and on glycemic control (r = -0.01). More diabetes knowledge (r = 0.22, P < 0.05), less fatalism (r = -0.22, P < 0.05), and more social support (r = 0.27, P < 0.01) were independent, direct predictors of diabetes self-care and through self-care were related to glycemic control (r = -0.20, P < 0.05)., Conclusions: Our findings suggest health literacy has an indirect effect on diabetes self-care and glycemic control through its association with social support. This suggests that for patients with limited health literacy, enhancing social support would facilitate diabetes self-care and improved glycemic control.

Background: Veterans have a disproportionately higher burden of type 2 diabetes. It is unclear whether veterans with diabetes have better self-care behaviors or receive better quality of care than non-veterans. The objective was to examine differences in diabetes care between veterans and non-veterans., Methods: Data analysis was performed with respondents from the 2003 Behavioral Risk Factor Surveillance Survey (n = 21,111 with diabetes). Veterans were those who reported U.S. military service and no longer on active duty. Self-care behaviors included daily fruit and vegetable intake, physical activity level, self-foot checks, and home glucose testing. Quality of care indicators included provider actions over the past 12 months (2+ office visits, 2+ glycosylated hemoglobin checks, 1+ foot exams, 1+ dilated eye exams, daily aspirin use, receiving flu or pneumonia vaccine). Multiple logistic regression using STATA version 10 (Stata Corp., College Station, TX) analyzed differences by veteran status on each quality indicator, controlling for sociodemographics and diabetes education., Results: Veterans comprised 14.2% of the sample, and 12.4% had diabetes compared to 6.7% of non-veterans. In final adjusted models, veterans were significantly more likely to check their feet (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.09, 1.64), get a dilated eye exam (OR 1.36, 95% CI 1.11, 1.66), receive aspirin (OR 1.31, 95% CI 1.04, 1.65), get a flu shot (OR 1.32, 95% CI 1.09, 1.61), and ever get a pneumonia shot (OR 1.38, 95% CI 1.12, 1.70)., Conclusions: Veterans appear to have better self-care behaviors and receive better preventive care than non-veterans. However, future efforts need to focus on boosting self-care to improve diabetes outcomes.

Background: Diabetes poses a serious health burden, of which veterans have a disproportionate share. Few data exist regarding differences in self-care behaviors and provider-based quality of care indicators among a large sample of veterans. The objective of this study was to determine the effect of Veterans Affairs (VA) use on diabetes quality of care indicators among veterans., Methods: A cross-sectional analysis was done on data from 36,525 veterans in the 2003 Behavioral Risk Factor Surveillance Survey. VA use was defined as receiving some or all health care from a VA facility in the previous 12 months. Diabetes quality indicators such as two or more provider visits, two or more hemoglobin A1c tests, and flu and pneumonia shots were compared between VA users and non-VA users. The independent effect of VA use on each quality indicator was analyzed with multiple regression using STATA version 10 (Stata Press, College Station, TX) to account for the complex survey design and yield population estimates., Results: Among veterans with diabetes, 26.8% were VA users. The only significant difference between VA users and non-VA users was that VA users were significantly more likely to check their feet one or more times daily (75.7% vs. 68.5%, P = 0.015). In final adjusted models, VA users were at least twice as likely as non-VA users to have foot exams by a provider (odds ratio 2.59) and receive flu and pneumonia shots (odds ratio 2.30 and 2.05, respectively). VA users were also more likely to have two or more provider visits, dilated eye exams, and two or more hemoglobin A1c tests than non-VA users., Conclusions: Key quality indicators for diabetes care were better among veterans getting some or all of their care from VA facilities, suggesting more effective care strategies. However, interventions should identify and perpetuate excellent self-care behaviors to more substantially impact adverse diabetes-related outcomes.

Background: The objective of this study was to assess differences in metabolic control and health-related quality of life (QOL) among depressed and nondepressed adults in an indigent population with type 2 diabetes., Research Design and Methods: Subjects completed validated surveys to assess depression and QOL. Depression was assessed with the Center for Epidemiological Studies-Depression Scale and defined as a score of > or =16. Metabolic control (hemoglobin A1C, total cholesterol, low-density lipoprotein [LDL] cholesterol, and high-density lipoprotein [HDL] cholesterol) measures were abstracted from medical records. We compared demographic characteristics, metabolic control, and QOL by depression status. Ordinary least squares regression was used to assess differences in QOL scores and metabolic control levels by depression status adjusting for covariates., Results: In the study sample (n = 201), approximately 20% (n = 40) were depressed. In unadjusted analyses, subjects with depression had significantly lower SF-12 physical component summary (PCS) scores (30.4 +/- 7.3 vs. 39.6 +/- 11.8, P < 0.001) and mental component summary (MCS) scores (32.8 +/- 10.5 vs. 48.9 +/- 9.2, P < or = 0.001) and significantly higher total cholesterol (209.3 +/- 72.1 vs. 186.6 +/- 50.9, P = 0.024) compared to those without depression. No significant differences were observed by depression status in hemoglobin A1C, LDL cholesterol, and HDL cholesterol. After adjustment for relevant covariates, depressed individuals continued to have lower SF-12 PCS (36.1 vs. 39.0, P < or = 0.001) and MCS (41.6 vs. 46.8, P < or = 0.001) scores, but the difference in total cholesterol levels was no longer significant., Conclusions: In an indigent sample with type 2 diabetes, depression is significantly associated with decreased physical and mental components of QOL. This finding further reinforces the importance of addressing depression in all populations with type 2 diabetes.

Background: This study was designed to assess differences in diabetes knowledge, diabetes self-management, and perceived control among depressed and nondepressed individuals in an indigent population with type 2 diabetes., Research Design and Methods: Depressed and nondepressed patients with the clinical diagnosis of type 2 diabetes were recruited from an indigent care clinic. Subjects completed validated surveys to assess diabetes knowledge, diabetes self-management, and perceived control of diabetes. We compared demographic characteristics and diabetes knowledge, diabetes self-management, and perceived control of diabetes by depression status. Statistical analysis was performed with SPSS version 14.0 (SPSS, Inc., Chicago, IL)., Results: Of the 201 subjects with diagnosed type 2 diabetes enrolled in the study, approximately 20% n = 40) of the sample was depressed. Subjects with depression were more likely to report self-care control problems (mean = 2.2 +/- 1.0 vs. 1.5 +/- 0.6, P < 0.001) and less likely to report positive attitude (mean = 2.9 +/- 0.7 vs. 3.7 +/- 0.5, P < 0.001), self-care ability (mean = 3.2 +/- 3.6 vs. 3.7 +/- 0.5, P < 0.001), and self-care adherence (mean = 3.3 +/- 0.9 vs. 4.1 +/- 0.6, P < 0.001). Depressed patients were less likely to report perceived control of diabetes (mean = 47.7 +/- 8.5 vs. 57.8 +/- 7.4, P < 0.001). There were no significant differences in diabetes knowledge, self-care understanding, and perceived importance of self-care between depressed and nondepressed patients., Conclusions: In this indigent population with type 2 diabetes, diabetes knowledge did not differ significantly by depression status, but diabetes self-management practices and perceived control of diabetes differed significantly by depression status. Patients who were depressed had poorer diabetes self-care and felt they had less control over their disease.

Objective: The aim of this study was to determine national patterns and correlates of complementary and alternative medicine (CAM) use among adults with diabetes., Methods: The authors compared CAM use in 2474 adults with and 28,625 adults without diabetes who participated in the most comprehensive national survey on CAM use (2002 National Health Interview Survey). Eight CAM use categories were created, including dietary, herbal, chiropractic, yoga, relaxation, vitamin, prayer, and other (acupuncture, Ayurveda, biofeedback, chelation, energy healing or Reiki therapy, hypnosis, massage, naturopathy, and homeopathy). An overall CAM use category also was created that excluded vitamins and prayer. Patterns of use were compared with chi-square and independent correlates of CAM use with multiple logistic regression controlling for relevant covariates. STATA was used for analysis to account for the complex survey design., Results: Prevalence of overall use of CAM did not differ significantly by diabetes status (47.6 versus 47.9%, p = 0.81). Diabetes was not an independent predictor of overall use of CAM (OR 0.93, 95% confidence interval [CI] 0.83, 1.05). However, persons with diabetes were more likely to use prayer (OR 1.19, 95% CI 1.05, 1.36), but less likely to use herbs (OR 0.86, 95% CI 0.75, 0.99), yoga (OR 0.56, 95% CI 0.43, 0.72), or vitamins (OR 0.82, 95% CI 0.72, 0.93) than people without diabetes after controlling for relevant covariates. Independent correlates of overall use of CAM differed by age, income, employment, comorbidity, and health status between people with and without diabetes., Conclusions: This study found that there has been a dramatic increase in overall use of CAM in adults with diabetes; diabetes was not an independent predictor of overall use of CAM; and people with diabetes were more likely to use prayer, but less likely to use herbs, yoga, or vitamins compared to persons without diabetes.