Relationships of hypoglycemia awareness, hypoglycemia beliefs, and continuous glucose monitoring glycemic profiles with anxiety and depression symptoms in adults with type 1 diabetes using continuous glucose monitoring systems.

AIMS: To evaluate relationships of hypoglycemia awareness, hypoglycemia beliefs, and continuous glucose monitoring (CGM) glycemic profiles with anxiety and depression symptoms in adults with type 1 diabetes (T1D) who use CGM. METHODS: A cross-sectional survey and data collections were completed with 196 T1D adults who used CGM (59% also used automated insulin delivery devices (AIDs)). We assessed hypoglycemia awareness (Gold instrument), hypoglycemia beliefs (Attitudes to Awareness of Hypoglycemia instrument), CGM glycemic profiles, demographics, and anxiety and depression symptoms (Hospital Anxiety and Depression Scale). Analysis included simple and multiple linear regression analyses. RESULTS: Lower hypoglycemia awareness, weaker "hypoglycemia concerns minimized" beliefs, stronger "hyperglycemia avoidance prioritized" beliefs were independently associated with higher anxiety symptoms (P < 0.05), with similar trends in both subgroups using and not using AIDs. Lower hypoglycemia awareness were independently associated with greater depression symptoms (P < 0.05). In participants not using AIDs, more time in hypoglycemia was related to less anxiety and depression symptoms (P < 0.05). Being female and younger were independently associated with higher anxiety symptoms, while being younger was also independently associated with greater depression symptoms (P < 0.05). CONCLUSION: Our findings revealed relationships of impaired hypoglycemia awareness, hypoglycemia beliefs, CGM-detected hypoglycemia with anxiety and depression symptoms in T1D adults who use CGMs.

The impact of the affordable care act on perinatal mood and anxiety disorder diagnosis and treatment rates among Michigan Medicaid enrollees 2012-2018.

BACKGROUND: Perinatal Mood and Anxiety Disorders (PMADs) affect one in five birthing individuals and represent a leading cause of maternal mortality. While these disorders are associated with a variety of poor outcomes and generate significant societal burden, underdiagnosis and undertreatment remain significant barriers to improved outcomes. We aimed to quantify whether the Patient Protection Affordable Care Act (ACA) improved PMAD diagnosis and treatment rates among Michigan Medicaid enrollees. METHODS: We applied an interrupted time series framework to administrative Michigan Medicaid claims data to determine if PMAD monthly diagnosis or treatment rates changed after ACA implementation for births 2012 through 2018. We evaluated three treatment types, including psychotherapy, prescription medication, and either psychotherapy or prescription medication. Participants included the 170,690 Medicaid enrollees who had at least one live birth between 2012 and 2018, with continuous enrollment from 9 months before birth through 3 months postpartum. RESULTS: ACA implementation was associated with a statistically significant 0.76% point increase in PMAD diagnosis rates (95% CI: 0.01 to 1.52). However, there were no statistically significant changes in treatment rates among enrollees with a PMAD diagnosis. CONCLUSION: The ACA may have improved PMAD detection and documentation in clinical settings. While a higher rate of PMAD cases were identified after ACA Implementation, Post-ACA cases were treated at similar rates as Pre-ACA cases.

Racial Disparities in Diagnosis of Postpartum Mood and Anxiety Disorders Among Symptomatic Medicaid Enrollees, 2012-2015.

OBJECTIVE: This study quantified the prevalence of postpartum mood and anxiety disorder (PMAD) diagnoses among symptomatic Michigan Medicaid enrollees and explored factors associated with receiving a diagnosis. METHODS: Data sources comprised Michigan Medicaid administrative claims and Phase 7 Michigan Pregnancy Risk Assessment Monitoring System (MI-PRAMS) survey responses, linked at the individual level. Participants were continuously enrolled in Michigan Medicaid, delivered a live birth (2012-2015), responded to the survey, and screened positive for PMAD symptoms on the adapted two-item Patient Health Questionnaire. Unadjusted and adjusted weighted logistic regression analyses were used to predict the likelihood of having a PMAD diagnosis (for the overall sample and stratified by race). RESULTS: The weighted analytic cohort represented 24,353 deliveries across the 4-year study. Only 19.8% of respondents with symptoms of PMAD had a PMAD diagnosis between delivery and 3 months afterward. Black respondents were less likely to have PMAD diagnoses (adjusted odds ratio [AOR]=0.23, 95% CI=0.11-0.49) compared with White respondents. Among White respondents, no covariates were significantly associated with having a diagnosis. However, among Black respondents, more comorbid conditions and more life stressors were statistically significantly associated with having a diagnosis (AOR=3.18, 95% CI=1.27-7.96 and AOR=3.12, 95% CI=1.10-8.88, respectively). CONCLUSIONS: Rate of PMAD diagnosis receipt differed by race and was low overall. Black respondents were less likely than White respondents to receive a diagnosis. Patient characteristics influencing diagnosis receipt also differed by race, indicating that strategies to improve detection of these disorders require a tailored approach.

Associations Between Hypoglycemia Awareness, Hypoglycemia Beliefs, and Continuous Glucose Monitoring Glycemic Profiles and Anxiety and Depression Symptoms in Adults with Type 1 Diabetes Using Advanced Diabetes Technologies.

AIMS: To evaluate relationships between hypoglycemia awareness, hypoglycemia beliefs, and continuous glucose monitoring (CGM) glycemic profiles and anxiety and depression symptoms in adults with type 1 diabetes (T1D) who use CGM or automated insulin delivery devices. METHODS: A cross-sectional survey and data collections were completed with 196 T1D adults who used advanced diabetes technologies. We assessed hypoglycemia awareness (Gold instrument), hypoglycemia beliefs (Attitudes to Awareness of Hypoglycemia instrument), CGM glycemic profiles, demographics, and anxiety and depression symptoms (Hospital Anxiety and Depression Scale). Data were processed via regression analyses and receiver operating characteristic analyses. RESULTS: Lower hypoglycemia awareness, weaker "hypoglycemia concerns minimized" beliefs, stronger "hyperglycemia avoidance prioritized" beliefs, female, and younger age were independently associated with higher anxiety symptoms (P<0.05). Lower hypoglycemia awareness, less time in hypoglycemia, and younger age were independently associated with greater depression symptoms (P<0.05). Age of <50 years had 77.8% sensitivity and 48.8% specificity in detecting elevated anxiety symptoms. Spending ≥35% of time with glucose levels >180 mg/dL on CGMs had 85.7% sensitivity and 54.3% specificity in detecting elevated depression symptoms. CONCLUSION: Our findings revealed relationships between impaired hypoglycemia awareness, hypoglycemia beliefs, CGM-detected hypoglycemia and anxiety and depression symptoms in T1D adults who use advanced diabetes technologies.

An mHealth Text Messaging Program Providing Symptom Detection Training and Psychoeducation to Improve Hypoglycemia Self-Management: Intervention Development Study.

BACKGROUND: Hypoglycemia remains a challenge for roughly 25% of people with type 1 diabetes (T1D) despite using advanced technologies such as continuous glucose monitors (CGMs) or automated insulin delivery systems. Factors impacting hypoglycemia self-management behaviors (including reduced ability to detect hypoglycemia symptoms and unhelpful hypoglycemia beliefs) can lead to hypoglycemia development in people with T1D who use advanced diabetes technology. OBJECTIVE: This study aims to develop a scalable, personalized mobile health (mHealth) behavioral intervention program to improve hypoglycemia self-management and ultimately reduce hypoglycemia in people with T1D who use advanced diabetes technology. METHODS: We (a multidisciplinary team, including clinical and health psychologists, diabetes care and education specialists, endocrinologists, mHealth interventionists and computer engineers, qualitative researchers, and patient partners) jointly developed an mHealth text messaging hypoglycemia behavioral intervention program based on user-centered design principles. The following five iterative steps were taken: (1) conceptualization of hypoglycemia self-management processes and relevant interventions; (2) identification of text message themes and message content development; (3) message revision; (4) patient partner assessments for message readability, language acceptability, and trustworthiness; and (5) message finalization and integration with a CGM data-connected mHealth SMS text message delivery platform. An mHealth web-based SMS text message delivery platform that communicates with a CGM glucose information-sharing platform was also developed. RESULTS: The mHealth SMS text messaging hypoglycemia behavioral intervention program HypoPals, directed by patients' own CGM data, delivers personalized intervention messages to (1) improve hypoglycemia symptom detection and (2) elicit self-reflection, provide fact-based education, and suggest practical health behaviors to address unhelpful hypoglycemia beliefs and promote hypoglycemia self-management. The program is designed to message patients up to 4 times per day over a 10-week period. CONCLUSIONS: A rigorous conceptual framework, a multidisciplinary team (including patient partners), and behavior change techniques were incorporated to create a scalable, personalized mHealth SMS text messaging behavioral intervention. This program was systematically developed to improve hypoglycemia self-management in advanced diabetes technology users with T1D. A clinical trial is needed to evaluate the program's efficacy for future clinical implementation.

Evaluation of an online research best practices training for community health workers and promotoras.

Introduction: Community health workers and promotoras (CHW/Ps) have a fundamental role in facilitating research with communities. However, no national standard training exists as part of the CHW/P job role. We developed and evaluated a culturally- and linguistically tailored online research best practices course for CHW/Ps to meet this gap. Methods: After the research best practices course was developed, we advertised the opportunity to CHW/Ps nationwide to complete the training online in English or Spanish. Following course completion, CHW/Ps received an online survey to rate their skills in community-engaged research and their perceptions of the course using Likert scales of agreement. A qualitative content analysis was conducted on open-ended response data. Results: 104 CHW/Ps completed the English or Spanish course (n = 52 for each language; mean age 42 years SD ± 12); 88% of individuals identified as female and 56% identified as Hispanic, Latino, or Spaniard. 96%-100% of respondents reported improvement in various skills. Nearly all CHW/Ps (97%) agreed the course was relevant to their work, and 96% felt the training was useful. Qualitative themes related to working more effectively as a result of training included enhanced skills, increased resources, and building bridges between communities and researchers. Discussion: The CHW/P research best practices course was rated as useful and relevant by CHW/Ps, particularly for communicating about research with community members. This course can be a professional development resource for CHW/Ps and could serve as the foundation for a national standardized training on their role related to research best practices.

Factors associated with mental health treatment among Michigan medicaid enrollees with perinatal mood and anxiety disorders, 2012-2015.

OBJECTIVE: Perinatal mood and anxiety disorders (PMADs) represent the most prevalent pregnancy-related comorbidity and a leading cause of maternal mortality. Effective treatments exist, but remain underutilized. We sought to identify factors associated with receipt of prenatal and postpartum mental health treatment. METHODS: This observational, cross-sectional analysis used self-reported survey data from the Michigan Pregnancy Risk Assessment Monitoring System linked to Michigan Medicaid administrative claims for births from 2012 to 2015. We used survey-weighted multinomial logistic regression to predict prescription medication and psychotherapy utilization among respondents with PMADs. RESULTS: Only 28.0% of respondents with prenatal PMAD and 17.9% of respondents with postpartum PMAD received both prescription medication and psychotherapy. During pregnancy, Black respondents were 0.33 (95%CI: 0.13-0.85, p = 0.022) times less likely to receive both treatments while more comorbidities were associated with receipt of both treatments (adjRR = 1.31, 95%CI: 1.02-1.70, p = 0.036). In the first three months postpartum, respondents with four or more stressors were 6.52 times more likely to receive both treatments (95%CI: 1.62-26.24, p = 0.008) and those satisfied with prenatal care were 16.25 times more likely to receive both treatments (95%CI: 3.35-78.85, p = 0.001). DISCUSSION: Race, comorbidities, and stress are critical factors in PMAD treatment. Satisfaction with perinatal healthcare may facilitate access to care.

Clinician Experiences With Hybrid Closed Loop Insulin Delivery Systems in Veterans With Type 1 Diabetes: Qualitative Study.

BACKGROUND: Hybrid closed loop (HCL) insulin pumps adjust insulin delivery based on input from a continuous glucose monitor. Several systems are FDA approved and associated with improved time in range, reduction in hemoglobin A1c, and decreased incidence of hypoglycemia. Major diabetes guidelines differ in their strength of recommendations regarding the use of HCL systems. Overall, limited information about the factors that influence HCL pump clinical decision-making is available, especially among endocrinology clinicians. OBJECTIVE: The study objective is to describe the knowledge and attitudes, network support, and self-efficacy regarding HCL insulin delivery systems among endocrinology clinicians in one Veterans Affairs (VA) Healthcare System in the Midwest. METHODS: Following a descriptive approach, this qualitative study used semistructured interviews and inductive thematic analysis. All endocrinologists, endocrinology fellows, and nurses in the endocrinology and metabolism department at one VA Healthcare System in the Midwest were invited to participate in one-on-one phone interviews. Thematic analysis explored clinician perspectives on HCL insulin pump systems. RESULTS: Participants (n=11) had experience within VA and university health care system endocrinology clinics. From their experiences, 4 themes were identified involving the evaluation and assessment of insulin pump candidates, prescribing challenges, clinical benefits of HCL pumps, and overall clinician confidence. CONCLUSIONS: Findings suggest that clinicians believe HCL systems have significant glycemic benefits but are not appropriate for all patients, especially those with cognitive impairment. HCL pump initiation is a multi-step process requiring an interdisciplinary team of health care clinicians to ensure patient and pump success. Furthermore, HCL systems improve clinician confidence in overall diabetes management.

Comparing the effectiveness of Family Support for Health Action (FAM-ACT) with traditional community health worker-led interventions to improve adult diabetes management and outcomes: study protocol for a randomized controlled trial.

BACKGROUND: Diabetes self-management education and support (DSMES) programs have struggled to deliver sustainable, effective support for adults with diabetes (AWDs) to improve self-management behaviors, achieve glycemic goals, and reduce risk for complications. One largely untapped resource for this support is AWDs' social networks. Fifty to 75% of AWDs have an unpaid family member or friend ("support person") who provides ongoing help with diabetes management. However, DSMES interventions to date lack structured and effective approaches to directly engage support persons in AWDs' diabetes management. METHODS: This parallel arm randomized trial is designed to determine the effectiveness of Family Support for Health Action (FAM-ACT), a novel community health worker (CHW)-delivered program focused on educating and supporting patients with type 2 diabetes (T2D) and their support persons (SPs), relative to an established, CHW-delivered, individual patient-focused DSMES and care management (I-DSMES) intervention. Both interventions were developed using a community-based participatory research (CBPR) approach. The study will be conducted in partnership with an urban Federally Qualified Health Center (FQHC) serving a low-income, Latino/a community, with target enrollment of 268 dyads consisting of an FQHC patient with T2D with high HbA1c and an SP. Patient-SP dyads will be randomized to receive FAM-ACT or I-DSMES over 6 months. The primary outcome is change in patient HbA1c from baseline to 6 months. Secondary patient outcomes include 12-month change in HbA1c, changes in patient blood pressure, diabetes self-management behaviors, diabetes distress, patient activation, diabetes self-efficacy, and perceptions of and satisfaction with SP support for diabetes. Secondary SP outcomes include self-efficacy for helping the patient with diabetes management and SP distress about the patient's diabetes. We also will assess the effect of the COVID-19 pandemic on patient's ability to manage diabetes. DISCUSSION: This study will inform scalable, evidence-based approaches that leverage family support to help AWDs improve and sustain self-management strategies that underpin optimal management of multiple diabetes complication risk factors. The protocol is designed for and evaluated with a low-income and predominantly Latino/a community, which may increase applicability to other similar communities. The COVID-19 pandemic presented several challenges to study protocol and intervention delivery; modifications made to address these challenges are described. TRIAL REGISTRATION: ClinicalTrials.gov NCT03812614. Registered on 18 January 2019.

Changes in Self-management During the COVID-19 Pandemic Among Adults with Type 2 Diabetes at a Federally Qualified Health Center.

The COVID-19 pandemic affected how adults with diabetes perform self-management, and impacts may be greater among vulnerable populations. We assessed the impact of the pandemic on diabetes self-management among adults with type 2 diabetes at a Federally Qualified Health Center. Participants were surveyed by phone in Spanish and English from July to October of 2020. Most respondents (74%) were Latino and preferred to speak Spanish, with mean age of 54 years and mean HbA1c of 9.2%. Fifty-three percent reported less physical activity during the pandemic. While 43% had more difficulty obtaining healthy food, 38% reported eating more healthfully. Sixty-one percent had increased difficulty accessing medical care. Many felt more socially isolated (49%) and stressed (51%). Changes in diabetes self-management were both positive and negative for majority Latino patients in this low-resource community, which may require tailored approaches to mitigate negative impacts of the pandemic on physical and mental health.

Evaluating Completeness of Discrete Data on Physical Functioning for Children With Cerebral Palsy in a Pediatric Rehabilitation Learning Health System.

OBJECTIVE: The purpose of this study was to determine the extent that physical function discrete data elements (DDE) documented in electronic health records (EHR) are complete within pediatric rehabilitation settings. METHODS: A descriptive analysis on completeness of EHR-based DDEs detailing physical functioning for children with cerebral palsy was conducted. Data from an existing pediatric rehabilitation research learning health system data network, consisting of EHR data from 20 care sites in a pediatric specialty health care system, were leveraged. Completeness was calculated for unique data elements, unique outpatient visits, and unique outpatient records. RESULTS: Completeness of physical function DDEs was low across 5766 outpatient records (10.5%, approximately 2 DDEs documented). The DDE for Gross Motor Function Classification System level was available for 21% (n = 3746) outpatient visits and 38% of patient records. Ambulation level was the most frequently documented DDE. Intercept only mixed effects models demonstrated that 21.4% and 45% of the variance in completeness for DDEs and the Gross Motor Function Classification System, respectively, across unique patient records could be attributed to factors at the individual care site level. CONCLUSION: Values of physical function DDEs are missing in designated fields of the EHR infrastructure for pediatric rehabilitation providers. Although completeness appears limited for these DDEs, our observations indicate that data are not missing at random and may be influenced by system-level standards in clinical documentation practices between providers and factors specific to individual care sites. The extent of missing data has significant implications for pediatric rehabilitation quality measurement. More research is needed to understand why discrete data are missing in EHRs and to further elucidate the professional and system-level factors that influence completeness and missingness. IMPACT: Completeness of DDEs reported in this study is limited and presents a significant opportunity to improve documentation and standards to optimize EHR data for learning health system research and quality measurement in pediatric rehabilitation settings.

Update on Approaches to Improve Delivery and Quality of Care for People with Diabetes.

To translate improvements in diabetes management into improved outcomes, it is essential to improve care delivery. To help guide clinicians and health organizations in their efforts to achieve these improvements, this article briefly describes key components underpinning effective diabetes care and six categories of innovations in approaches to improve diabetes care delivery: (1) team-based clinical care; (2) cross-specialty collaboration/integration; (3) virtual clinical care/telehealth; (4) use of community health workers (CHWs) and trained peers to provide pro-active self-management support; (5) incorporating screening for and addressing social determinants of health into clinical practice; and (6) cross-sectoral clinic/community partnerships.

One size does not fit all: Nutrition strategies for people with diabetes.

Several nutrition strategies and eating patterns can help support self-management among persons with diabetes. This article details the effectiveness of popular eating patterns and nutrition strategies, as well as the role of nurses in facilitating informed patient choices and decisions.

Effectiveness of a Community Health Worker-Led Diabetes Intervention among Older and Younger Latino Participants: Results from a Randomized Controlled Trial.

Diabetes management for older Latino adults is complex, given a higher incidence of multiple coexisting medical conditions and psychosocial barriers to self-management. Community health workers (CHWs) may be effective in reducing these barriers. The REACH Detroit CHW randomized controlled intervention studies with Latino/as with diabetes found improvements in self-management behaviors and glucose control after participating in a CHW-led intervention. Using data from the REACH Detroit Partnership's cohort 3, this study used descriptive statistics and multiple linear regression analyses to evaluate whether the six-month CHW intervention had a greater effect on older Latino/as (ages 55 and older) than younger participants between baseline and post-intervention follow-up at six months. There were significant intervention effects by age group that varied by outcome. Compared to a control group that received enhanced usual care, there were statistically significant intervention effects demonstrating greater self-efficacy scores 1.27 (0.23, 2.32); p < 0.05, and reductions in HbA1c 1.02 (-1.96,-0.07); p < 0.05, among older participants in the CHW intervention, and increases in diabetes support 0.74 (0.34, 1.13); p < 0.001; and understanding of diabetes management 0.39 (0.08, 0.70); p < 0.01 among younger participants.

Integration and Utilization of Peer Leaders for Diabetes Self-Management Support: Results From Project SEED (Support, Education, and Evaluation in Diabetes).

Purpose The purpose of the study was to evaluate the effectiveness of a peer leader-led (PL) diabetes self-management support (DSMS) group in achieving and maintaining improvements in A1C, self-monitoring of blood glucose (SMBG), and diabetes distress in individuals with diabetes. Diabetes self-management support is critical; however, effective, sustainable support models are scarce. Methods The study was a cluster randomized controlled trial of 221 people with diabetes from 6 primary care practices. Practices and eligible participants (mean age: 63.0 years, 63.8% female, 96.8% white, 28.5% at or below poverty level, 32.5% using insulin, A1C ≥7%: 54.2%) were randomized to diabetes self-management education (DSME) + PL DSMS (n = 119) or to enhanced usual care (EUC) (DSME + traditional DSMS with no PL; n = 102). Data were collected at baseline, after DSME (6 weeks), after DSMS (6 months), and after telephonic DSMS (12 months). Results Decreases in A1C occurred between baseline and post-DSME in both groups. Both groups sustained improvements during DSMS, but A1C levels increased during telephonic DSMS. Improvements in self-monitoring of blood glucose were observed in both groups following DSME and were sustained throughout. At study end, the intervention group was 4.3 times less likely to have diabetes regimen-related distress compared to EUC. Conclusions PL DSMS is as effective as traditional DSMS in helping participants to maintain glycemic control and self-monitoring of blood glucose (SMBG) and more effective at improving distress. With increasing diabetes prevalence and shortage of diabetes educators, it is important to integrate and use low-cost interventions in high-risk communities that build on available resources.

The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis.

BACKGROUND: Lifestyle interventions targeting weight loss, such as those delivered through the Diabetes Prevention Program, reduce the risk of developing type 2 diabetes. Technology-mediated interventions may be an option to help overcome barriers to program delivery, and to disseminate diabetes prevention programs on a larger scale. OBJECTIVE: We conducted a meta-analysis to evaluate the effect of such technology-mediated interventions on weight loss. METHODS: In this meta-analysis, six databases were searched to identify studies reporting weight change that used technology to mediate diet and exercise interventions, and targeted individuals at high risk for developing type 2 diabetes. Studies published between January 1, 2002 and August 4, 2016 were included. RESULTS: The search identified 1196 citations. Of those, 15 studies met the inclusion criteria and evaluated 18 technology-mediated intervention arms delivered to a total of 2774 participants. Study duration ranged from 12 weeks to 2 years. A random-effects meta-analysis showed a pooled weight loss effect of 3.76 kilograms (95% CI 2.8-4.7; P<.001) for the interventions. Several studies also reported improved glycemic control following the intervention. The small sample sizes and heterogeneity of the trials precluded an evaluation of which technology-mediated intervention method was most efficacious. CONCLUSIONS: Technology-mediated diabetes prevention programs can result in clinically significant amounts of weight loss, as well as improvements in glycaemia in patients with prediabetes. Due to their potential for large-scale implementation, these interventions will play an important role in the dissemination of diabetes prevention programs.

Influence of Patient-Centered Decision Making on Sustained Weight Loss and Risk Reduction Following Lifestyle Intervention Efforts in Rural Pennsylvania.

PURPOSE: The purpose of this study was to determine whether weight loss and cardiovascular disease risk factor reduction was maintained following a lifestyle intervention. METHODS: Five hundred fifty-five individuals without diabetes from 8 rural communities were screened for BMI ≥25 kg/m(2) and abdominal obesity (86.1% female, 95.1% white, 55.8% obese). Communities and eligible participants (n = 493; mean age, 51 years, 87.6% female, 94.1% Caucasian) were assigned to 4 study groups: face-to-face, DVD, Internet, and self-selection (SS) (n = 101). Self-selection participants chose the intervention modality (60% face-to-face, 40% Internet, 0% DVD). Outcomes included weight change and risk factor reduction at 18 months. RESULTS: All groups achieved maintenance of 5% weight loss in over half of participants. Self-selection participants had the largest proportion maintain (89.5%). Similarly, nearly 75% of participants sustained risk factor reduction. After multivariate adjustment, participants in SS were 2.3 times more likely to maintain 5% weight loss compared to the other groups, but not risk factor reduction. CONCLUSION: Despite the modality, lifestyle intervention was effective at maintaining weight loss and risk reduction. However, SS participants were twice as likely to sustain improvements compared to other groups. The importance of patient-centered decision making in health care is paramount.

Health literacy among insulin-taking African Americans: a need for tailored intervention in clinical practice.

AIMS: To determine the levels of functional health literacy (FHL) among insulin-taking African Americans with diabetes from an urban medical practice and to determine if associations exist between FHL levels and glycemic control. METHODS: Seventy insulin-taking African Americans seen for diabetes management comprised the analysis cohort. Patients were 18 years or older, African American, had diabetes, and currently using insulin via syringe, pen, or insulin pump. All participants completed a one-time assessment of FHL levels, using the Newest Vital Sign (NVS). Scores ranged from 0 to 6 (0-1 = high likelihood of limited FHL; 2-3 = possibility of limited FHL; 4-6 = adequate FHL). A combination of t tests, Pearson's chi-square tests, and multivariate logistic regression models were used to determine associations between glycemic control and FHL. RESULTS: Average age was 58.7, 59.1% were female, 90.8% with type 2 diabetes, and 15.1% using an insulin pump. Glycemic control was: A1C < 7%: 22.9%, A1C < 8%: 47.1%. Of participants, 47.1% had adequate FHL, 31.4% had possible limited FHL, and 21.4% had a high likelihood of limited FHL. Also, 67.7% of participants with A1C ≥ 8% had a high likelihood of limited FHL. After adjusting for age and gender, participants with a high likelihood of limited FHL were 6.2 times (95% confidence interval [CI], 1.4-28.3) more likely to have A1C ≥ 8%. CONCLUSIONS: Insulin-taking African Americans with a high likelihood of limited FHL are approximately 6 times more likely to have an A1C ≥ 8% compared to patients with a possibility of limited FHL, or adequate FHL, demonstrating the need for focused interventions tailored to FHL needs.