A novel approach to understanding and assessing the emotional side of type 1 diabetes: The Type 1-Diabetes Distress Assessment System.

AIMS: To describe the development of a novel, conceptually sound instrument with contemporary content for assessing diabetes distress (DD) among adults with type 1 diabetes. METHODS: Qualitative interviews with 15 adults and 7 clinicians were used to develop Core (intensity of DD emotional burden) and primary Source (key DD contributors) items. These were administered to a national sample recruited from the TCOYD Research Registry, T1D Exchange and our previous studies. Exploratory and confirmatory factor analyses were undertaken, along with reliability and construct validity studies, and cut-point analyses to determine elevated DD. RESULTS: Analyses based on 650 respondents yielded an 8-item Core DD scale (α = 0.95) and 10 2- or 3-item DD Source Scales (α range = 0.53-0.88): Financial Worries, Interpersonal Challenges, Management Difficulties, Shame, Hypoglycemia Concerns, Healthcare Quality, Lack of Diabetes Resources, Technology Challenges, Burden to Others and Worries about Complications. Core and Source scores were significantly associated with criterion variables: Higher DD scores were significantly linked with higher HbA1C , more frequent episodes of severe hypoglycaemia, missed boluses, and poorer quality of life (p > 0.001). A ≥2.0 scale cut-point to define elevated DD is suggested. CONCLUSIONS: The new T1-Diabetes Distress Assessment System demonstrated good reliability and validity, and with measures of both Core emotional burden and Sources of DD, it provides a contemporary, flexible and practical approach to assessing DD that can be used seamlessly to inform intervention for clinicians and researchers.

Training peers to deliver mental health support to adults with type 1 diabetes using the REACHOUT mobile app.

AIMS: While peer support research is growing in the Type 1 diabetes (T1D) community, the peer supporter training (PST) process is rarely documented in detail. This study provides a comprehensive description of PST and evaluation for the REACHOUT mental health support intervention, and examines the feasibility and perceived utility of PST. METHODS: Fifty-three adults with T1D were recruited to participate in a 6-hour, zoom-based PST program for mental health support. The program was structured in three parts: (1) internal motivation, resilience and empathy; (2) mindfulness, emotions and diabetes distress; and (3) active listening and deferring clinical questions to professionals. Candidates were evaluated based on eight pre-established competency criteria during a 5-day support trial with an assigned standardized T1D participant. Perceived usefulness of training skills was also assessed 3 months into the REACHOUT mental health support intervention. RESULTS: Fifty-one of the fifty-three candidates who completed training achieved the criteria to graduate. Mean scores for the eight competency domains were: listens actively (4.55); asks open-ended questions (4.12); expresses empathy (4.42); avoids passing judgment (4.67); sits with strong emotions (4.44); refrains from giving advice (4.38); makes reflections (4.5); and defers medical questions (4.58). Of the skills learned during the PST, 95% rated interpreting and discussing diabetes distress profile and expressing empathy as moderately to extremely useful. CONCLUSIONS: Findings demonstrate that it is feasible to recruit and graduate the number of trainees needed using a rigorous process. Only by making training protocols available can the PST be replicated and translated to other T1D populations (e.g. adolescents, parents of children with T1D).

The Hypoglycemic Fear Syndrome: Understanding and Addressing This Common Clinical Problem in Adults With Diabetes.

Although a broad literature on fear of hypoglycemia and its impact on people with type 1 or type 2 diabetes has accumulated over the past three decades, there has been surprisingly little guidance concerning how best to tackle this problem in clinical care. The aim of this article is to begin filling this gap by describing the "hypoglycemic fear syndrome," which we define as hypoglycemic fear that has become so overwhelming that it leads to avoidance behaviors and chronically elevated glucose levels. We begin by presenting several illustrative cases, describing the syndrome and how it is most commonly presented in clinical care, and detailing its most common precipitants. We then offer practical, evidence-based strategies for clinical intervention, based on the literature and our clinical experience.

Development and validation of fear of hypoglycemia screener: results from the T1D exchange registry.

BACKGROUND: Fear of Hypoglycemia (FoH) in people with diabetes has a significant impact on their quality of life, psychological well-being, and self-management of disease. There are a few questionnaires assessing FoH in people living with diabetes, but they are more often used in research than clinical practice. This study aimed to develop and validate a short and actionable FoH screener for adults living with type 1 diabetes (T1D) for use in routine clinical practice. METHODS: We developed an initial screener based on literature review and, interviews with healthcare providers (HCPs) and people with T1D. We developed a cross-sectional web-based survey, which was then conducted to examine the reliability and validity of the screener. Adults (aged ≥ 18 years) with diagnosis of T1D for ≥ 1 year were recruited from the T1D Exchange Registry (August-September 2020). The validation analyses were conducted using exploratory factor analyses, correlation, and multivariable regression models for predicting cut-off scores for the final screener. RESULTS: The final FoH screener comprised nine items assessing two domains, "worry" (6-items) and "avoidance behavior" (three items), in 592 participants. The FoH screener showed good internal consistency (Cronbach's α = 0.88). The screener also demonstrated high correlations (r = 0.71-0.75) with the Hypoglycemia Fear Survey and moderate correlations with depression, anxiety, and diabetes distress scales (r = 0.44-0.66). Multivariable regression analysis showed that higher FoH screener scores were significantly associated with higher glycated hemoglobin (HbA1c) (b = 0.04) and number of comorbidities (b = 0.03). CONCLUSIONS: This short FoH screener demonstrated good reliability and validity. Further research is planned to assess clinical usability to identify patients with FoH and assist effective HCP-patient conversations.

How Frequently and for How Long Do Adults With Type 2 Diabetes Use Management Apps? The REALL Study.

OBJECTIVE: The objective of the study is to identify predictors of utilization of a type 2 diabetes (T2D) management App over time for insulin users (IUs) and noninsulin users (NIUs). RESEARCH DESIGN AND METHODS: We followed over 16 weeks a national sample of unselected T2D adults who independently elected to download and pair a CONTOUR DIABETES App with their CONTOUR NEXT ONE glucose meter. App use and frequency of glucose testing were recorded. Baseline surveys recorded participant demographic, disease status, distress, medication taking, and views of technology to predict utilization. RESULTS: Mean age was 51.6 years (108 IUs; 353 NIUs), 48% were female, time with diabetes was 6.9 years, and self-reported HbA1c was 8.1% (36.3 mmol/mol). Mean duration of App use was 85.4 days and 40% stopped using the App before 16 weeks. Continuous users were older and reported higher distress, better medication taking, and more positive attitudes toward technology (all P < .01). IUs tested more frequently than NIUs, but frequency and intensity of testing decreased markedly for both groups over time. More predictors of App use frequency and testing occurred for NIUs than IUs: older age, higher HbA1c, lower distress, more medication taking (all P < .05). CONCLUSIONS: App use and testing decreased markedly over time. Variations in the predictors of frequency of App use suggest that the utilization of mobile technologies requires a tailored approach that addresses the specific needs of individual users, compared with adopting a one-size-fits-all strategy, and that IUs and NIUs may require very different strategies of customization.

The impact of enhancing self-management support for diabetes in Community Health Centers through patient engagement and relationship building: a primary care pragmatic cluster-randomized trial.

Type 2 diabetes (T2DM) self-management support (SMS) programs can yield improved clinical outcomes but may be limited in application or impact without considering individuals' unique social and personal challenges that may impede successful diabetes outcomes. The current study compares an evidence-based SMS program with an enhanced version that adds a patient engagement protocol, to elicit and address unique patient-level challenges to support improved SMS and diabetes outcomes. Staff from 12 Community Health Center (CHC) clinical sites were trained on and delivered: Connection to Health (CTH; 6 sites), including a health survey and collaborative action planning, or Enhanced Engagement CTH (EE-CTH; 6 sites), including additional relationship building training/support. Impact of CTH and EE-CTH on behavioral self-management, psychological outcomes, and modifiable social risks was examined using general linear mixed effects. Clinics enrolled 734 individuals with T2DM (CTH = 408; EE-CTH = 326). At 6- to 12-month postenrollment, individuals in both programs reported significant improvements in self-management behaviors (sugary beverages, missed medications), psychological outcomes (stress, health-related distress), and social risks (food security, utilities; all p < .05). Compared with CTH, individuals in EE-CTH reported greater decreases in high fat foods, salt, stress and health-related distress; and depression symptoms improved within EE-CTH (all p < .05). CTH and EE-CTH demonstrated positive behavioral, psychological, and social risk impacts for T2DM in CHCs delivered within existing clinical work flows and a range of clinical roles. Given the greater improvements in psychological outcomes and behavioral self-management in EE-CTH, increased attention to relationship building strategies within SMS programs is warranted.

Can A Basic Management App Paired With A Glucose Meter Help Reduce Glucose Levels Among Adults With Type 2 Diabetes? The REALL Study.

OBJECTIVE: Evaluations of technology to help adults manage type 2 diabetes (T2D) have yielded mixed results. We analyzed the effectiveness of a free app linked to a glucose meter to study reductions in glucose levels over time among a self-selected sample of adults with T2D. RESEARCH DESIGN AND METHODS: Adults with T2D >12 months, >21 years, ability to read English (insulin using-IU and non-insulin using-NIU) who independently elected to pair their CONTOUR NEXT ONE meter with the CONTOUR DIABETES App were invited to participate. Glucose data from baseline to 16 weeks were uploaded to the cloud (N = 461). Assessment of diabetes distress, medication taking, quality of life, and hypoglycemia concerns occurred at baseline, six, and 16 weeks. RESULTS: Findings indicated a significant decrease in weekly glucose levels over time: baseline mean = 169 (62.0) (9.4 mmol/L; 3.44); 16-week mean = 146.5 (36.0) (8.1 mmol/L; 2.0) (P < .001), with no IU and NIU differences. Largest reductions occurred during the first six weeks, with no later rebound effects. Significant, though modest, improvements in global quality of life (P = .03), hypoglycemia concerns (P = .01), and diabetes distress (P < .001) occurred over 16 weeks. CONCLUSIONS: Making an App for monitoring glucose easily available for download with a glucose meter can be helpful for self-selected adults with T2D. Effective utilization assumes that users are sufficiently motivated and engaged, are comfortable and trusting of the technology, and have sufficient knowledge of how to make use of the glucose data.

The ubiquity of diabetes distress among adults with type 1 diabetes in an urban, academic practice: A template for intervention.

AIMS: The aim of this study was to assess the patterns of diabetes distress within an urban, technology-oriented academic clinical practice to inform staff training and intervention. METHODS: Adults with type 1 diabetes completed the Type 1 Diabetes Distress Scale at their regular clinic visit. Descriptive statistics were generated to document the prevalence of diabetes distress overall, and from seven primary sources of distress: powerlessness, disease management, hypoglycaemia, negative social perceptions, eating, physician and family/friends. Additional analyses explored relations between diabetes distress, demographic characteristics and disease status. RESULTS: The prevalence of elevated diabetes distress was 30% overall, with 88% of the sample reporting elevated distress from at least one primary source. Women reported more elevated distress overall, and from the primary sources. There was an inverse relationship between diabetes duration with total diabetes distress (r = -0.19) and with the powerlessness subscale (r = -0.28). Also, those without micro- and/or macrovascular complications more frequently reported elevated distress from powerlessness (85%) compared to those having complications (61%). Use of technology (continuous glucose monitoring, insulin pumps) was not significantly related to diabetes distress. Diabetes distress was positively correlated with HbA1c. About 22% of individuals with HbA1c <53 mmol/mol (<7%) had elevated total distress. About a third of the sample (34%-39%) reported elevated distress from powerlessness, hypoglycaemia, negative social perceptions, eating, or family/friends. CONCLUSIONS: It is critical to understand clinic-specific patterns of diabetes distress in order to customise staff training and intervention programmes, and thereby reduce distress among unique populations of adults with type 1 diabetes in different settings.

Toward a more comprehensive understanding of the emotional side of type 2 diabetes: A re-envisioning of the assessment of diabetes distress.

AIMS: To develop an updated, more theoretically sound system for describing and assessing diabetes-related emotional distress (DD) in adults with type 2 diabetes (T2D). METHODS: Items were developed from qualitative interviews with 11 adults with T2D and 6 clinicians, then categorized as reflecting a core emotional experience of DD or a primary source of DD. Items were then administered to a national sample of TCOYD Registry participants. Data were analyzed using both exploratory (EFA) and confirmatory (CFA) factor analyses. Reliability (alpha) and construct validity also were assessed. RESULTS: EFAs with 599 adults (258 insulin users, 341 non-insulin users) yielded a coherent DD Core scale and 7 DD Source scales (management demands, healthcare provider, hypoglycemia, long-term health, interpersonal issues, shame/stigma, healthcare access), which were confirmed by CFA. All alphas were >0.65. DD Core and DD Source scales were associated with criterion variables (all p < .001). Higher DD Core scores were linked to higher HbA1c, BMI, more frequent severe hypoglycemia, and poorer self-management (all p < .001). CONCLUSIONS: Good reliability and validity were found for this two-part T2DD Assessment System. It reflects a more contemporary and actionable approach to DD assessment that distinguishes between its key emotional dimension and its underlying contributors.

Personal Continuous Glucose Monitoring Use Among Adults with Type 2 Diabetes: Clinical Efficacy and Economic Impacts.

PURPOSE OF REVIEW: This article reviews recent clinical efficacy research and economic analysis of the use of personal continuous glucose monitoring (CGM) in type 2 diabetes (T2D). RECENT FINDINGS: Studies from the past 5 years include a variety of randomized controlled trials, meta-analyses, and other studies which generally favor CGM over self-monitoring of blood glucose (SMBG) in T2D, especially among people with T2D treated with insulin. Concurrently, some studies show no significant difference, but there is no evidence of worse outcomes with CGM. CGM is frequently associated with greater reduction in HbA1c than is SMBG. HbA1c reductions tend to be greater when baseline HbA1c is higher. Reductions in hypoglycemia and hyperglycemia have also been demonstrated with CGM in people with T2D, as have comfort with, preference for, and psychosocial benefits of CGM compared to SMBG. There is a small but growing evidence base on the economics and cost-effectiveness of CGM in T2D. CGM has been clearly demonstrated to have clinical benefits in people with T2D, especially among those treated with insulin. Economic and cost-effectiveness data are more scant but are generally favorable. CGM should be an important consideration in the management of T2D, and its use is likely to increase as efficacy data accumulate further and as costs associated with CGM gradually decrease.

Examining Variations in Action Plan Quality Among Adults With Type 2 Diabetes in Primary Care.

INTRODUCTION: Collaborative goal setting and action-planning are key elements of self-management support for people with type 2 diabetes mellitus (T2DM), however little is known regarding action plan quality or correlation of quality in primary T2DM care. METHODS: T2DM patients from 12 primary care sites participated in either: Connection to Health (CTH; 6 practices), consisting of a health survey followed by collaborative action planning, or Enhanced Engagement CTH (EE-CTH; 6 practices), including additional training in relationship building promoting patient engagement. Action plan quality was rated using an adapted version of the Goal-Setting Evaluation Tool for Diabetes (GET-D) (dual coding of 20%, inter-rater reliability [IRR] >80%). Associations with patient characteristics were examined using generalized linear mixed models adjusting for clustering by clinic and intervention arm. RESULTS: With a mean score ± standard deviation (SD) of 14.62 ± 3.87 on a 0 to 20 scale (n = 725), overall action plan quality was moderate-high. Higher health literacy (ß = 1.184, 95% CI, 0.326-2.041; P = .007), and having no social risks (ß = 0.416; 95% CI, 0.062-0.770; P = .021) were associated with higher action plan quality, whereas sex, age, language, education level, depression, stress, and health distress were unrelated to quality (P value not significant). Higher quality was associated with greater patient confidence in the plan (ß = 0.050; 95% CI, 0.016-0.084, P = .004). CONCLUSIONS: Although there was a considerable difference in action plan quality ratings, ratings did not systematically differ based on most patient demographic or mental health measures. Results suggest that action planning should be tailored to health literacy and social risks. Further research should examine associations between quality and longer-term clinical outcomes.

Reductions in Management Distress Following a Randomized Distress Intervention Are Associated With Improved Diabetes Behavioral and Glycemic Outcomes Over Time.

OBJECTIVE: To explore associations between reductions in diabetes distress (DD) and improvements in glycemic outcomes among adults with type 1 diabetes (T1D) in the context of a DD randomized clinical trial. RESEARCH DESIGN AND METHODS: Adults with T1D (N = 301) participated in a two-arm trial aimed at reducing DD (DD-focused OnTrack group vs. education-oriented KnowIt group). Mean age was 45.1 years; mean baseline HbA1c was 8.8% (73 mmol/mol). Individuals were assessed at baseline and 9 months later on DD, self-care, HbA1c, and frequency of hypoglycemia. Structural equation models evaluated hypothesized pathways among changes in DD, self-care, and glycemic outcomes in the total sample and by intervention group. RESULTS: Reductions in DD were significantly and independently associated with better self-care, including fewer missed insulin boluses, more frequent insulin adjustment, improved problem-solving skills, more blood glucose monitoring, and greater adoption of continuous glucose monitoring (all P < 0.05). In turn, better self-care was linked with better glycemic outcomes, including fewer episodes of hypoglycemia and improved HbA1c over time. Fit indices indicated good fit of the model to the data (confirmatory fit index = 0.94, root mean square error of approximation = 0.05), with stronger and more meaningful associations for OnTrack than for KnowIt. CONCLUSIONS: In the context of an intervention to reduce DD for adults with T1D, results indicate that reductions in DD do not affect glycemic outcomes directly but through improvements in self-care behavior. Findings support the importance of integrating disease management with DD interventions to maximize improvements in glycemic outcomes.

Overcoming psychological insulin resistance: A practical guide for healthcare professionals.

Despite the demonstrated benefits of using insulin, nearly a third of the patients with type 2 diabetes (T2D) are initially reluctant to initiate insulin therapy when it is first recommended by their healthcare provider (HCP). Several studies have documented the reasons for this phenomenon known as psychological insulin resistance (PIR) and also identified actionable strategies for HCPs to assist people with T2D to overcome their PIR. However, most strategies are based on the experiences of HCPs, rather than of patients. Based on findings from a study exploring real-world patient experience around HCP actions for mitigating PIR, we suggest that HCPs use collaborative strategies throughout the course of T2D treatment to 1) explore reasons for PIR, 2) help patients overcome PIR, and 3) follow-up regarding experience with insulin.

A Scoping Review and General User's Guide for Facilitating the Successful Use of eHealth Programs for Diabetes in Clinical Care.

The vast eHealth literature in diabetes can provide a useful foundation to aid in the selection, adoption, and implementation of eHealth methodologies in clinical care. Despite clear potential to enhance reach, efficiency, and clinical effectiveness, research has yielded mixed and often contradictory results, and wide-spread adoption and maintenance of eHealth programs in clinical care has been limited. Furthermore, few reports have identified the unique challenges that clinicians and health systems face when attempting to incorporate eHealth systems into clinical care. To address these gaps, we address two goals in this report: first, to summarize and integrate the major findings of the diabetes-related eHealth literature based on currently available systematic and narrative reviews; and second, based on the review, to provide practical guidelines to assist clinicians and health systems in selecting and implementing eHealth programs into diabetes care using dissemination and implementation science principles and perspectives.

The early impact of the COVID-19 pandemic on adults with type 1 or type 2 diabetes: A national cohort study.

AIMS: To describe the effects of the COVID-19 pandemic on adults with T1D or T2D in the U.S. METHODS: Participants, recruited from the Taking Control of Your Diabetes Research Registry, were ≥19 years old and diagnosed with either T1D or T2D for ≥12 months. Participants completed an online survey on a HIPAA-protected platform. RESULTS: Completed surveys were received from 763 T1Ds and 619 T2Ds. Average T1D age was 53.3 (SD = 15.3); average T2D age was 64.9 (SD = 10.3). Both samples were predominantly female, non-Hispanic white and well-educated. Average self-reported HbA1c was 6.9 (SD = 1.0; 52 mmol/mol) for T1Ds and 7.1 (SD = 1.1; 54 mmol/mol) for T2Ds. About 40% of respondents reported that all of their diabetes healthcare appointments at the time were cancelled or postponed, 40% reported a switch to telehealth appointments and almost half reported lower overall satisfaction with these visits (compared to pre-pandemic). There were widespread increases in general and diabetes-related stress and social isolation, and negative effects on disease management. About 25% reported increases in highs, lows, and glucose variability in both groups. CONCLUSION: There has been a substantive increase in level of diabetes-related and general life stress and social isolation due to the pandemic, with a significant impact on disease management.

Basal Insulin Initiation and Maintenance in Adults with Type 2 Diabetes Mellitus in the United States.

OBJECTIVE: A survey of US adults with type 2 diabetes mellitus was conducted to better understand patients' insulin initiation experiences and treatment persistence behaviors. RESEARCH DESIGN AND METHODS: Participants were recruited from consumer panels and grouped by basal insulin treatment pattern: continuers (no gap of ≥7 days within 6 months of initiation); interrupters (gap ≥7 days, resumed treatment); discontinuers (stopped for ≥7 days, not resumed). A quota of approximately 50 respondents per persistence category was set. RESULTS: A total of 154 respondents (52 continuers, 52 interrupters, 50 discontinuers) completed the survey. Mean age was 51.4 years; 51.9% male. Continuers were more likely to report their views being considered during initiation, and less likely to report a sense of failure. Concerns included insulin dependence (64.3% agree/strongly agree), frequent blood glucose monitoring (55.2%), costs/ability to pay (53.9%), fears of or mistakes during self-injection (52.6%), and weight gain (52.6%). Continuers were motivated by benefits of insulin therapy; experienced or potential side effects were notable factors for interruption/discontinuation. Healthcare provider instruction was indicated as a reason for continuing, stopping, and restarting therapy. CONCLUSION: Benefits of basal insulin therapy motivated continuers while side effects impacted interruption/discontinuation. Persistence on basal insulin is often influenced by provider actions. Earlier provider intervention upon signs of treatment discontinuation may promote persistence.

Successful Health Care Provider Strategies to Overcome Psychological Insulin Resistance in United States and Canada.

PURPOSE: To identify specific actions and characteristics of health care providers (HCPs) in the United States and Canada that influenced patients with type 2 diabetes who were initially reluctant to begin insulin. METHODS: Patients from the United States (n = 120) and Canada (n = 74) were recruited via registry, announcements, and physician referrals to complete a 30-minute online survey based on interviews with patients and providers regarding specific HCP actions that contributed to the decision to begin insulin. RESULTS: The most helpful HCP actions were patient-centered approaches to improve patients' understanding of the injection process (ie, "My HCP walked me through the whole process of exactly how to take insulin" [helped moderately or a lot, United States: 79%; Canada: 83%]) and alleviate concerns ("My HCP encouraged me to contact his/her office immediately if I ran into any problems or had questions after starting insulin" [United States: 76%; Canada: 82%]). Actions that were the least helpful included referrals to other sources (ie, "HCP referred patient to a class to help learn more about insulin" [United States: 40%; Canada: 58%]). CONCLUSIONS: The study provides valuable insight that HCPs can use to help patients overcome psychological insulin resistance, which is a critical step in the design of effective intervention protocols.

When patient-reported experience does not match change in clinical outcomes: A perplexing view from the inside of a diabetes distress intervention.

AIMS: To assess between-group differences in participant experiences in a two-arm diabetes distress (DD) reduction RCT and to determine their relationship to clinical outcomes (reductions in DD and HbA1C). METHODS: For high DD adults with Type 1 diabetes and HbA1c ≥7.5% participating in T1-REDEEM, we evaluated post intervention 5-point ratings of overall program "helpfulness" and program component "helpfulness," along with open-ended feedback statements using 10 qualitative codes. We compared responses of those in OnTrack, a distressed-focused intervention, with KnowIt, an education/management intervention. RESULTS: Those in OnTrack reported significantly higher levels of overall program helpfulness and greater helpfulness of each component of the program, greater group support, far fewer negative experiences, and more active and meaningful group engagement than those who participated in KnowIt. Ratings of helpfulness were unrelated to reductions in DD and HbA1C in both study arms. As previously reported, these findings occurred despite significant reductions in both DD and HbA1C in both arms with no between-group differences. CONCLUSIONS: Findings highlight the importance of addressing the personal experience of diabetes interventions in clinical care as separate, distinct outcomes. Personal experience may not always be related to changes in traditional clinical indicators.

Effects of Accessible Health Technology and Caregiver Support Posthospitalization on 30-Day Readmission Risk: A Randomized Trial.

INTRODUCTION: Patients with chronic illness often require ongoing support postdischarge. This study evaluated a simple-to-use, mobile health-based program designed to improve postdischarge follow-up via (1) tailored communication to patients using automated calls, (2) structured feedback to informal caregivers, and (3) automated alerts to clinicians about urgent problems. METHODS: A total of 283 patients with common medical diagnoses, including chronic obstructive pulmonary disease, coronary artery disease, pneumonia, and diabetes, were recruited from a university hospital, a community hospital, and a US Department of Veterans Affairs hospital. All patients identified an informal caregiver or "care partner" (CP) to participate in their postdischarge support. Patient-CP dyads were randomized to the intervention or usual care. Intervention patients received weekly automated assessment and behavior change calls. CPs received structured e-mail feedback. Outpatient clinicians received fax alerts about serious problems. Primary outcomes were 30-day readmission rate and the combined outcome of readmission/emergency department (ED) use. Information about postdischarge outpatient visits, rehospitalizations, and ED encounters was obtained from medical records. RESULTS: Overall, 11.4% of intervention patients and 17.9% of controls were rehospitalized within 30 days postdischarge (hazard ratio [HR]: 0.59; 95% confidence interval [CI]: 0.31-1.11; p = 0.102). Compared to intervention patients with other illnesses, those with pulmonary diagnoses generated the most clinical alerts (p = 0.004). Pulmonary patients in the intervention group showed significantly reduced 30-day risk of rehospitalization relative to controls (HR: 0.31; 95% CI: 0.11-0.87; p = 0.026). CONCLUSION: The CP intervention did not improve 30-day readmission rates overall, although post hoc analyses suggested that it may be promising among patients with pulmonary diagnoses.

The importance of relationship processes for lowering BMI over time in women with type 2 diabetes in a randomized controlled trial.

OBJECTIVE: Weight change may be affected by dyadic processes within couple relationships. The aim of this secondary data analysis was to explore trends in BMI across time, and assess whether relationship processes (i.e., relationship satisfaction, positive problem-solving), predict BMI trajectories in men and women. METHODS: Data are from 268 participants in the Diabetes Support Project, a randomized trial of behavioral intervention for individuals with type 2 diabetes (T2D) in poor glycemic control. For secondary analyses, BMI was measured at pre-treatment (baseline), 4 months (post-treatment), 8 months, and 12 months. Multiple relationship variables were measured at all time points and were modeled as predictors and correlates of change in BMI across time. RESULTS: In general, BMI trajectories had higher starting values (intercepts) for females than for males in the sample (b = -2.51, p < .05), and slopes trended downward from pre-treatment to 12 months (b = -.09, p <  .05). Downward trajectories of BMI were more pronounced for women with higher relationship satisfaction (b = .05, p <  .05) and higher positive problem solving skills (b = .06, p < .05) at baseline. Change in relationship processes were not correlated with change in BMI across time. CONCLUSION: For women with T2D in this behavioral intervention study, relationship process scores at the beginning of treatment predicted changes in BMI over time, with better problem solving and higher relationship satisfaction at baseline related to steeper decreases in BMI across treatment. Additional research is needed to understand how improving relationship interaction prior to diabetes treatment may positively influence weight loss during treatment.