Understanding Perceptions of Care Coordination and Chronic Illness Management among Black Breast and Prostate Cancer Survivors and Providers: Findings from a Quality Improvement Study.

Navigating cancer care is complex and is exacerbated by pre-existing comorbidities managed by multiple providers. In this quality improvement study, we evaluated changes in perceived care coordination, navigation, and chronic illness care with community health worker (CHW) and mHealth support among Black breast cancer and prostate cancer patients with hypertension and/or diabetes. We collected patient and provider surveys on chronic illness care coordination at baseline and six months and found improvements in multiple domains. These findings support engaging CHWs to improve care coordination among cancer patients with comorbidities and demonstrate a use case of importance with emerging navigation reimbursement policies.

A Scoping Review of the Relation Between Toothbrushing and Diabetes Knowledge, Glycemic Control, and Oral Health Outcomes in People With Type 2 Diabetes.

Objective: Given the bidirectional relationship between type 2 diabetes and periodontal disease, this study sought to compile the available data regarding the relationship between home oral hygiene, specifically toothbrushing, and glycemic control and oral health in people with type 2 diabetes. Methods: A systematic scoping review was conducted using a combination of controlled vocabulary and keyword terms for type 2 diabetes and home oral care in PubMed and CINHAL. Publications from the past 20 years were considered for inclusion. Study data were summarized. Results: A total of 11 studies met our inclusion criteria. In all survey research identified, self-report of more frequent toothbrushing in people with type 2 diabetes was always found to be associated with self-report of better glycemic control and was often associated with better clinician-conducted measures oral health. In the interventional studies identified, health coaching about oral health was associated with improvements in glycemic control, and health coaching compared with health education was found to be associated with enhanced improvement in glycemic control and self-reported toothbrushing behavior. Conclusion: The available data suggest that improved engagement in toothbrushing behavior may be associated with improved oral health and better glycemic control in people with type 2 diabetes. Whether improvement in glycemic control is a direct result of change to the oral environment, succeeding with one behavior change stimulating engagement in other health behavior changes, a combination of the two, or something else cannot be determined from this review. Additional studies are needed to further explore the potential for oral health coaching to improve the well-being of people with type 2 diabetes.

Exploring the Impact of Dawn Phenomenon on Glucose-Guided Eating Thresholds in Individuals With Type 2 Diabetes Using Continuous Glucose Monitoring: Observational Study.

BACKGROUND: Glucose-guided eating (GGE) improves metabolic markers of chronic disease risk, including insulin resistance, in adults without diabetes. GGE is a timed eating paradigm that relies on experiencing feelings of hunger and having a preprandial glucose level below a personalized threshold computed from 2 consecutive morning fasting glucose levels. The dawn phenomenon (DP), which results in elevated morning preprandial glucose levels, could cause typically derived GGE thresholds to be unacceptable or ineffective among people with type 2 diabetes (T2DM). OBJECTIVE: The aim of this study is to quantify the incidence and day-to-day variability in the magnitude of DP and examine its effect on morning preprandial glucose levels as a preliminary test of the feasibility of GGE in adults with T2DM. METHODS: Study participants wore a single-blinded Dexcom G6 Pro continuous glucose monitoring (CGM) system for up to 10 days. First and last eating times and any overnight eating were reported using daily surveys over the study duration. DP was expressed as a dichotomous variable at the day level (DP day vs non-DP day) and as a continuous variable reflecting the percent of days DP was experienced on a valid day. A valid day was defined as having no reported overnight eating (between midnight and 6 AM). ∂ Glucose was computed as the difference in nocturnal glucose nadir (between midnight and 6 AM) to morning preprandial glucose levels. ∂ Glucose ≥20 mg/dL constituted a DP day. Using multilevel modeling, we examined the between- and within-person effects of DP on morning preprandial glucose and the effect of evening eating times on DP. RESULTS: In total, 21 adults (59% female; 13/21, 62%) with non-insulin-treated T2DM wore a CGM for an average of 10.5 (SD 1.1) days. Twenty out of 21 participants (95%) experienced DP for at least 1 day, with an average of 51% of days (SD 27.2; range 0%-100%). The mean ∂ glucose was 23.7 (SD 13.2) mg/dL. People who experience DP more frequently had a morning preprandial glucose level that was 54.1 (95% CI 17.0-83.9; P<.001) mg/dL higher than those who experienced DP less frequently. For within-person effect, morning preprandial glucose levels were 12.1 (95% CI 6.3-17.8; P=.008) mg/dL higher on a DP day than on a non-DP day. The association between ∂ glucose and preprandial glucose levels was 0.50 (95% CI 0.37-0.60; P<.001). There was no effect of the last eating time on DP. CONCLUSIONS: DP was experienced by most study participants regardless of last eating times. The magnitude of the within-person effect of DP on morning preprandial glucose levels was meaningful in the context of GGE. Alternative approaches for determining acceptable and effective GGE thresholds for people with T2DM should be explored and evaluated.

Feasibility and Preliminary Behavioral and Clinical Efficacy of a Diabetes Education Chatbot Pilot Among Adults With Type 2 Diabetes.

BACKGROUND: Diabetes self-management education and support (DSMES) improves diabetes outcomes yet remains consistently underutilized. Chatbot technology offers the potential to increase access to and engagement in DSMES. Evidence supporting the case for chatbot uptake and efficacy in people with diabetes (PWD) is needed. METHOD: A diabetes education and support chatbot was deployed in a regional health care system. Adults with type 2 diabetes with an A1C of 8.0% to 8.9% and/or having recently completed a 12-week diabetes care management program were enrolled in a pilot program. Weekly chats included three elements: knowledge assessment, limited self-reporting of blood glucose data and medication taking behaviors, and education content (short videos and printable materials). A clinician facing dashboard identified need for escalation via flags based on participant responses. Data were collected to assess satisfaction, engagement, and preliminary glycemic outcomes. RESULTS: Over 16 months, 150 PWD (majority above 50 years of age, female, and African American) were enrolled. The unenrollment rate was 5%. Most escalation flags (N = 128) were for hypoglycemia (41%), hyperglycemia (32%), and medication issues (11%). Overall satisfaction was high for chat content, length, and frequency, and 87% reported increased self-care confidence. Enrollees completing more than one chat had a mean drop in A1C of -1.04%, whereas those completing one chat or less had a mean increase in A1C of +0.09% (P = .008). CONCLUSION: This diabetes education chatbot pilot demonstrated PWD acceptability, satisfaction, and engagement plus preliminary evidence of self-care confidence and A1C improvement. Further efforts are needed to validate these promising early findings.

The current diabetes education experience: Findings of a cross-sectional survey of adults with type 2 diabetes.

OBJECTIVE: To survey persons with type 2 diabetes (PWD) on their experiences with diabetes education to better understand what it means when a PWD says they have "had diabetes education." METHODS: We conducted a cross-sectional descriptive study among a convenience sample of adult PWD receiving primary care and/or diabetes self-management education and support in a mid-Atlantic regional US healthcare system. Descriptive, bivariate, and regression analyses were used to describe and explore the diabetes education experience. RESULTS: Participants (n = 498) were majority female, African American, and non-Hispanic. Half reported having "had diabetes education." Of those, 44% had only one session. Education was most often provided in clinical settings by a dietitian (68%) or doctor (51%), in one-on-one (70%) sessions. While most participants reported receiving core diabetes knowledge, fewer reported education on topics that are not related to their daily routine, such as what to do about diabetes medications when sick. CONCLUSION: The self-reported diabetes education experience varies in content, modality, setting, and education provider. Education receipt is low, and for those who receive education, the amount is low. PRACTICAL IMPLICATIONS: The diabetes education experience may fall short of the comprehensive US National Standards-recommended process. Innovative strategies are needed to address these gaps.

Implications of remote monitoring Technology in Optimizing Traditional Self-Monitoring of blood glucose in adults with T2DM in primary care.

BACKGROUND: Self-monitoring of blood glucose (SMBG) has been shown to reduce hemoglobin A1C (HbA1C). Accordingly, guidelines recommend SMBG up to 4-10 times daily for adults with type 2 diabetes (T2DM) on insulin. For persons not on insulin, recommendations are equivocal. Newer technology-enabled blood glucose monitoring (BGM) devices can facilitate remote monitoring of glycemic data. New evidence generated by remote BGM may help to guide best practices for frequency and timing of finger-stick blood glucose (FSBG) monitoring in uncontrolled T2DM patients managed in primary care settings. This study aims to evaluate the impact of SMBG utility and frequency on glycemic outcomes using a novel BGM system which auto-transfers near real-time FSBG data to a cloud-based dashboard using cellular networks. METHODS: Secondary analysis of the intervention arm of a comparative non-randomized trial with propensity-matched chart controls. Adults with T2DM and HbA1C > 9% receiving care in five primary care practices in a healthcare system participated in a 3-month diabetes boot camp (DBC) using telemedicine and a novel BGM to support comprehensive diabetes care management. The primary independent variable was frequency of FSBG. Secondary outcomes included frequency of FSBG by insulin status, distribution of FSBG checks by time of day, and hypoglycemia rates. RESULTS: 48,111 FSBGs were transmitted by 359 DBC completers. Participants performed 1.5 FSBG checks/day; with 1.6 checks/day for those on basal/bolus insulin. Higher FSBG frequency was associated with greater improvement in HbA1C independent of insulin treatment status (p = 0.0003). FSBG frequency was higher in patients treated with insulin (p = 0.003). FSBG checks were most common pre-breakfast and post-dinner. Hypoglycemia was rare (1.2% < 70 mg/dL). CONCLUSIONS: Adults with uncontrolled T2DM achieved significant HbA1C improvement performing just 1.5 FSBGs daily during a technology-enabled diabetes care intervention. Among the 40% taking insulin, this improvement was achieved with a lower FSBG frequency than guidelines recommend. For those not on insulin, despite a lower frequency of FSBG, they achieved a greater reduction in A1C compared to patients on insulin. Low frequency FSBG monitoring pre-breakfast and post-dinner can potentially support optimization of glycemic control regardless of insulin status in the primary care setting. TRIAL REGISTRATION: Trial registration number: NCT02925312 (10/19/2016).

A Prospective, Non-randomized Feasibility and Preliminary Efficacy Study of a Telemedicine-Enabled Co-management Intervention for Adults With Type 2 Diabetes and Moderate Anxiety and/or Depression.

PURPOSE: The primary aim of this pilot study was to examine the feasibility of codelivering a mental health intervention with an evidence-based type 2 diabetes (T2DM) boot camp care management program. The preliminary impact of participation on symptom scores for depression and anxiety and A1C was also examined. METHODS: This was a 12-week, non-randomized pilot intervention conducted with a convenience sample of adults with uncontrolled T2DM and moderate depression and/or anxiety at an urban teaching hospital. Co-management intervention delivery was via in-person and telehealth visits. Participants were assessed at baseline and 90 days. RESULTS: Participants (n = 18) were African American, majority female (83%), and age 50.7 ± 13.4 years. Significant improvements in mental health outcomes were demonstrated, as measured by a reduction in Patient Health Questionnaire - 9 scores of 2.4 ± 2.9 (P = .01) and in Generalized Anxiety Disorder - 7 scores of 2.3 ± 1.9 (P = .001). The pre-post intervention mean A1C improved by 3.4 ± 2.1 units from 12% ± 1.4% to 8.5% ± 1.7% (P < .001). CONCLUSION: The data generated in this pilot support the feasibility of delivering a diabetes and mental health co-management intervention using a combination of in-person and telemedicine visits to engage adults with T2DM and coexisting moderate depression and/or anxiety. Further research is warranted.

Diabetes to Go-Inpatient: Pragmatic Lessons Learned from Implementation of Technology-Enabled Diabetes Survival Skills Education Within Nursing Unit Workflow in an Urban, Tertiary Care Hospital.

BACKGROUND: Diabetes survival skills education (DSSE) focuses on core knowledge and skills necessary for safe, effective, short-term diabetes self-care. Inpatient DSSE delivery approaches are needed. Diabetes to Go (D2Go) is an evidence-based DSSE program originally designed for outpatients. METHODS: Implementation science principles were used to redesign D2Go for delivery by staff on medicine and surgery units in a tertiary care hospital to adults with type 2 diabetes (T2DM) using a tablet-based e-learning platform. Implementation efficacy was evaluated from staff and patient engagement perspectives. The Practical, Robust Implementation and Sustainability Model (PRISM) guided redesign. The team conducted qualitative evaluation (implementation barriers and facilitators); program redesign (via stakeholder feedback and education and human factors principles); implementation design for tablet delivery and patient engagement by unit staff; and a prospective implementation feasibility study. RESULTS: Among 596 T2DM patients identified on three medical/surgical units, 415 (69.6%) were program eligible. Of those eligible, 59 (14.2%) received, accessed, and engaged with the platform; and among those, 43 (72.9%) completed the intervention, representing just 10.4% of those eligible. Multilevel implementation barriers were encountered: staff (receptivity, time, production pressures, culture); process (electronic health record [EHR] integration, patient identification, data tracking, bedside delivery); and patient (receptivity, acuity, availability, accessibility). Most completers required technology support. CONCLUSION: Time constraints, limited EHR integration, and patient barriers markedly impeded implementation of the delivery of diabetes education at the bedside, despite stated staff interest. As a result, uptake and adoption of a tablet-based DSSE e-learning program in a high-acuity care setting was limited.

Association of glucose variability at the last day of hospitalization with 30-day readmission in adults with diabetes.

OBJECTIVE: To evaluate whether increased glucose variability (GV) during the last day of inpatient stay is associated with increased risk of 30-day readmission in patients with diabetes. RESEARCH DESIGN AND METHODS: A comprehensive list of clinical, pharmacy and utilization files were obtained from the Veterans Affairs (VA) Central Data Warehouse to create a nationwide cohort including 1 042 150 admissions of patients with diabetes over a 14-year study observation period. Point-of-care glucose values during the last 24 hours of hospitalization were extracted to calculate GV (measured as SD and coefficient of variation (CV)). Admissions were divided into 10 categories defined by progressively increasing SD and CV. The primary outcome was 30-day readmission rate, adjusted for multiple covariates including demographics, comorbidities and hypoglycemia. RESULTS: As GV increased, there was an overall increase in the 30-day readmission rate ratio. In the fully adjusted model, admissions with CV in the 5th-10th CV categories and admissions with SD in the 4th-10th categories had a statistically significant progressive increase in 30-day readmission rates, compared with admissions in the 1st (lowest) CV and SD categories. Admissions with the greatest CV and SD values (10th category) had the highest risk for readmission (rate ratio (RR): 1.08 (95% CI 1.05 to 1.10), p<0.0001 and RR: 1.11 (95% CI 1.09 to 1.14), p<0.0001 for CV and SD, respectively). CONCLUSIONS: Patients with diabetes who exhibited higher degrees of GV on the final day of hospitalization had higher rates of 30-day readmission. TRIAL REGISTRATION NUMBER: NCT03508934, NCT03877068.

Diabetes Education for Behavioral Health Inpatients: Challenges and Opportunities.

OBJECTIVE: To adapt a diabetes survival skills education (DSSE) program for delivery on inpatient behavioral health units (BHUs) and to evaluate implementation feasibility within nursing unit workflow. METHODS: We employed mixed methods to codesign, implement, and evaluate a DSSE program for inpatient BHUs. The Diabetes to Go core program incorporates linking knowledge deficits to video education content, a companion book on diabetes survival skills, and education for nurses on delivery processes and teaching content. The Diabetes to Go adaptation for BHUs was codesigned in partnership with BHU staff and patients. Implementation evaluation included patient surveys and nursing staff feedback obtained during field observations. RESULTS: A total of 89 patients participated in nine group education sessions among whom 17 (20%) had diabetes. Nursing unit staff and patients expressed willingness to engage in program design. Barriers to implementation were encountered in both groups including lack of standardization of education content by nurse facilitators and difficulty engaging patients for the time required for completion of surveys plus group education. Preferred education media for both nurses and patients was a book. Diabetes knowledge deficits were identified among over two thirds of participants with diabetes. CONCLUSIONS: Group class may not be the optimal delivery model for specialized DSSE on BHUs. It remains to be determined if individual diabetes education alone or a model which combines individual and group sessions is preferable. Translation of standardized approaches for diabetes education on inpatient BHUs will require further redesign to meet the unique needs of this population.

Redesigning ambulatory care management for uncontrolled type 2 diabetes: a prospective cohort study of the impact of a Boot Camp model on outcomes.

Objective: Type 2 diabetes care management (DCM) is challenging. Few studies report meaningful improvements in clinical care settings, warranting DCM redesign. We developed a Boot Camp to provide timely, patient-centered, technology-enabled DCM. Impact on hemoglobin A1c (HbA1c), emergency department (ED) visits and hospitalizations among adults with uncontrolled type 2 diabetes were examined. Research design and methods: The intervention was designed using the Practical Robust Implementation and Sustainability Model to embed elements of the chronic care model. Adults with HbA1c>9% (75 mmol/mol) enrolled between November 2014 and November 2017 received diabetes education and medication management by diabetes educators and nurse practitioners via initial clinic and subsequent weekly virtual visits, facilitated by near-real-time blood glucose transmission for 90 days. HbA1c and risk for ED visits and hospitalizations at 90 days, and potential savings from reducing avoidable medical utilizations were examined. Boot Camp completers were compared with concurrent, propensity-matched chart controls receiving usual DCM in primary care practices. Results: A cohort of 366 Boot Camp participants plus 366 controls was analyzed. Participants were 79% African-American, 63% female and 59% Medicare-insured or Medicaid-insured and mean age 56 years. Baseline mean HbA1c for cases and controls was 11.2% (99 mmol/mol) and 11.3% (100 mmol/mol), respectively. At 90 days, HbA1c was 8.1% (65 mmol/mol) and 9.9% (85 mmol/mol), p<0.001, respectively. Risk for 90-day all-cause hospitalizations decreased 77% for participants and increased 58% for controls, p=0.036. Mean potential for monetization of US$3086 annually per participant for averted hospitalizations were calculated. Conclusions: Redesigning diabetes care management using a pragmatic technology-enabled approach supported translation of evidence-based best practices across a mixed-payer regional healthcare system. Diabetes educators successfully participated in medication initiation and titration. Improvement in glycemic control, reduction in hospitalizations and potential for monetization was demonstrated in a high-risk cohort of adults with uncontrolled type 2 diabetes. Trial registration number: NCT02925312.

Inpatient Diabetes Education in the Real World: an Overview of Guidelines and Delivery Models.

PURPOSE OF REVIEW: Diabetes self-management education and support improves diabetes-related outcomes, yet less than 50% of persons with diabetes in the USA receive this service. Hospital admissions present a critical opportunity for providing diabetes education. This article presents an overview of the current state of inpatient diabetes education. It incorporates a summary of existing guidance relative to content followed by an overarching discussion of existing inpatient diabetes education models and their reported outcomes, when available. RECENT FINDINGS: As diabetes rates continue to soar and adults with diabetes continue to have high hospitalization and readmission rates, hospitals face challenges in assessing and meeting diabetes patients' educational needs. The consensus recommendation for inpatient diabetes teaching is to provide survival skills education to enable safe self-management following discharge until more comprehensive outpatient education can be provided. Established and emerging models for delivery of diabetes survival skills education in the hospital may be broadly grouped as diabetes-specialty care models, diabetes non-specialty care models, and technology-supported diabetes education. These models are often shaped by the availability of diabetes specialists, including endocrinologists and diabetes educators-or lack thereof, and staffing resources for provision of services. Recent studies suggest that all three approaches can be deployed successfully if well planned. This article presents an overview of the current state of inpatient diabetes education. It incorporates a summary of existing guidance relative to content followed by an overarching discussion of existing inpatient diabetes education models and their reported outcomes, when available. The authors seek to make the reader aware of the heterogeneous approaches that are being implemented nationwide for inpatient diabetes education delivery. Meeting inpatient diabetes educational needs will require a sustained effort, diverse strategies based on resources available, and additional research to explore the impact of these strategies on outcomes.

Future technology-enabled care for diabetes and hyperglycemia in the hospital setting.

Patients with diabetes are increasingly common in hospital settings where optimal glycemic control remains challenging. Inpatient technology-enabled support systems are being designed, adapted and evaluated to meet this challenge. Insulin pump use, increasingly common in outpatients, has been shown to be safe among select inpatients. Dedicated pump protocols and provider training are needed to optimize pump use in the hospital. Continuous glucose monitoring (CGM) has been shown to be comparable to usual care for blood glucose surveillance in intensive care unit (ICU) settings but data on cost effectiveness is lacking. CGM use in non-ICU settings remains investigational and patient use of home CGM in inpatient settings is not recommended due to safety concerns. Compared to unstructured insulin prescription, a continuum of effective electronic medical record-based support for insulin prescription exists from passive order sets to clinical decision support to fully automated electronic Glycemic Management Systems. Relative efficacy and cost among these systems remains unanswered. An array of novel platforms are being evaluated to engage patients in technology-enabled diabetes education in the hospital. These hold tremendous promise in affording universal access to hospitalized patients with diabetes to effective self-management education and its attendant short/long term clinical benefits.

Understanding Nursing Workflow for Inpatient Education Delivery: Time and Motion Study.

BACKGROUND: Diabetes self-management education and support improves diabetes-related outcomes, but many persons living with diabetes do not receive this. Adults with diabetes have high hospitalization rates, so hospital stays may present an opportunity for diabetes education. Nurses, supported by patient care technicians, are typically responsible for delivering patient education but often do not have time. Using technology to support education delivery in the hospital is one potentially important solution. OBJECTIVE: The aim of this study was to evaluate nurse and patient care technician workflow to identify opportunities for providing education. The results informed implementation of a diabetes education program on a tablet computer in the hospital setting within existing nursing workflow with existing staff. METHODS: We conducted a time and motion study of nurses and patient care technicians on three medical-surgical units of a large urban tertiary care hospital. Five trained observers conducted observations in 2-hour blocks. During each observation, a single observer observed a single nurse or patient care technician and recorded the tasks, locations, and their durations using a Web-based time and motion data collection tool. Percentage of time spent on a task and in a location and mean duration of task and location sessions were calculated. In addition, the number of tasks and locations per hour, number of patient rooms visited per hour, and mean time between visits to a given patient room were determined. RESULTS: Nurses spent approximately one-third of their time in direct patient care and much of their time (60%) on the unit but not in a patient room. Compared with nurses, patient care technicians spent a significantly greater percentage of time in direct patient care (42%; P=.001). Nurses averaged 16.2 tasks per hour, while patient care technicians averaged 18.2. The mean length of a direct patient care session was 3:42 minutes for nurses and 3:02 minutes for patient care technicians. For nurses, 56% of task durations were 2 minutes or less, and 38% were one minute or less. For patient care technicians, 62% were 2 minutes or less, and 44% were 1 minute or less. Nurses visited 5.3 and patient care technicians 9.4 patient rooms per hour. The mean time between visits to a given room was 37:15 minutes for nurses and 33:28 minutes for patient care technicians. CONCLUSIONS: The workflow of nurses and patient care technicians, constantly in and out of patient rooms, suggests an opportunity for delivering a tablet to the patient bedside. The average time between visits to a given room is consistent with bringing the tablet to a patient in one visit and retrieving it at the next. However, the relatively short duration of direct patient care sessions could potentially limit the ability of nurses and patient care technicians to spend much time with each patient on instruction in the technology platform or the content.

Gleaning Information for Cognitive Operations from Don't Know Responses in Cognitive and Noncognitive Assessments.

The Don't Know (DK) response - taking the form of an omitted response or not-reached at the end of a cognitive test, or explicitly presented as a response option in a social survey - contains important information that is often overlooked. Direct psychometric modeling efforts for DK responses are few and far between. In this article, the linear logistic test model (LLTM) is proposed for delineating the impacts of cognitive operations for a test that contains DK responses. We assume that the DK response is a valid response. The assumption is reasonable for many situations, including low-stakes cognitive tests and attitudinal assessments. By extracting information embedded in the DK response, the method shows how DK can inform the latent construct of interest and the cognitive operations underlying the response to stimuli. Using a proven recoding scheme, the LLTM could be implemented through commonly used programs such as PROC GLIMMIX. Two simulation experiments to evaluate how well the parameters can be recovered were conducted. In addition, two real data examples, from a noncognitive test of health belief assessment and a cognitive test of knowledge in diabetes, are also presented as case studies to illustrate the LLTM for DK response.

Racial Differences in Neighborhood Perceptions and their Influences on Physical Activity among Urban Older Women.

BACKGROUND: Proper levels of physical activity (PA) are important to healthy aging. Little is known about racial differences in influences of neighborhood perceptions (NP) on PA and use of neighborhood resources among community-dwelling older women. MATERIALS AND METHODS: In 2014 and 2015, 49 white and 44 black women of age 65 and older living in Washington, DC were queried about their PA, NP, use of neighborhood resources and sociodemographic characteristics. They wore an accelerometer and a Global Positioning System device concurrently for 7 consecutive days. Data were analyzed by race. RESULTS: Compared to Whites, Blacks had lower NP scores (71% positive vs. 77%, p = 0.01), lower mean daily step counts (mean (SD): 3256 (1918) vs. 5457 (2989), p < 0.001), and lower frequencies of all exercise activities combined (19.7 (8.7) vs. 25.2 (11.8) per week, p = 0.01). For both Whites and Blacks, better NPs were associated with more frequent PA both at (p = 0.05) and away from home (p = 0.01). However, better NPs were associated with higher frequencies of exercise activities, moderate-to-high intensity activities, and utilitarian walking for Whites but not Blacks (p < 0.05 for race-perception interaction terms). CONCLUSIONS: In an urban setting, older Black women were more likely than older White women to have poor NPs, less PA, and weaker or no association of positive NPs with higher levels of certain PAs. Such substantial racial differences warrant further investigation and consideration in health promotion programs.

Type 2 Diabetes and Depression: A Pilot Trial of an Integrated Self-management Intervention for Latino Immigrants.

PURPOSE: The purpose of the current study was to determine the feasibility, acceptability, and preliminary effectiveness of an integrated self-management intervention that simultaneously targets diabetes and depression self-management in a primary care clinic that serves the Latino immigrant community. METHODS: The integrated intervention included behavioral activation and motivational interviewing techniques. It was developed with patient, family member, and provider stakeholders, and it comprised 6 individual sessions, followed by 2 monthly booster sessions. Eighteen Latino immigrants participated in an open trial of the intervention. A1C levels were examined at baseline and postintervention. Participants also completed measures of depression, diabetes self-management behaviors, patient activation, and diabetes-related self-efficacy and gave open-ended feedback about the intervention. RESULTS: Feasibility of delivering the intervention in the primary care setting and acceptability to the target population were demonstrated. Among participants completing the intervention, A1C levels decreased significantly from baseline. A significant reduction in depressive symptoms and an improvement in diabetes self-management behaviors, patient activation, and diabetes-related self-efficacy were observed. Qualitative responses from participants indicated unilateral positive responses to the intervention and endorsed its continuation in the clinic. CONCLUSIONS: This pilot trial demonstrated the feasibility and acceptability of an integrated self-management intervention for diabetes and depression. In addition, preliminary data suggest that the intervention may have a positive impact on diabetes and depression-related outcomes. Further evaluation is warranted.