Evaluating Therapeutic Inertia in Two Telehealth Interventions for Type 2 Diabetes: Secondary Analyses of a Randomized Trial.

Introduction: Although therapeutic inertia is a known driver of suboptimal type 2 diabetes control, little is known about how to combat this phenomenon. We analyzed randomized trial data to determine whether a comprehensive telehealth intervention was more effective than a less structured telehealth approach (telemonitoring and care coordination) at promoting treatment intensification in poorly controlled diabetes. Methods: Patients with poorly controlled type 2 diabetes were randomized 1:1 to telemonitoring/care coordination or a comprehensive telehealth intervention, which included an active, study provider-guided medication management component. Prospectively collected medication lists were used to determine whether treatment intensification occurred for each patient during 3-month intervals throughout the study period. To examine between-arm differences in treatment intensification over time, we fit a generalized estimation equation model. In each arm, hemoglobin A1c levels at the beginning and end of each 3-month interval were used to distinguish between therapeutic inertia and potentially appropriate nonintensification of treatment. Results: The mean, model-estimated likelihood of treatment intensification during 3-month intervals was 61.3% in the comprehensive telehealth group versus 48.6% for telemonitoring/care coordination (odds ratio 1.7, 95% confidence interval 1.2-2.2; p = 0.0007), with no evidence that treatment effect varied over time (p = 0.54). Treatment intervals with observed therapeutic inertia were more common in the telemonitoring/care coordination arm than the comprehensive telehealth arm (116/300, 39% vs. 57/275, 21%). Conclusions: A comprehensive telehealth approach that integrated protocol-guided medication management increased treatment intensification and reduced therapeutic inertia compared with a less structured telehealth approach. The studied approaches may serve as examples of how systems might use telehealth to combat therapeutic inertia. Clinical Trial Registration: ClinicalTrials.gov NCT03520413.

Implementation of an Intensive Telehealth Intervention for Rural Patients with Clinic-Refractory Diabetes.

BACKGROUND: Rural patients with type 2 diabetes (T2D) may experience poor glycemic control due to limited access to T2D specialty care and self-management support. Telehealth can facilitate delivery of comprehensive T2D care to rural patients, but implementation in clinical practice is challenging. OBJECTIVE: To examine the implementation of Advanced Comprehensive Diabetes Care (ACDC), an evidence-based, comprehensive telehealth intervention for clinic-refractory, uncontrolled T2D. ACDC leverages existing Veterans Health Administration (VHA) Home Telehealth (HT) infrastructure, making delivery practical in rural areas. DESIGN: Mixed-methods implementation study. PARTICIPANTS: 230 patients with clinic-refractory, uncontrolled T2D. INTERVENTION: ACDC bundles telemonitoring, self-management support, and specialist-guided medication management, and is delivered over 6 months using existing VHA HT clinical staffing/equipment. Patients may continue in a maintenance protocol after the initial 6-month intervention period. MAIN MEASURES: Implementation was evaluated using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The primary effectiveness outcome was hemoglobin A1c (HbA1c). KEY RESULTS: From 2017 to 2020, ACDC was delivered to 230 patients across seven geographically diverse VHA sites; on average, patients were 59 years of age, 95% male, 80% white, and 14% Hispanic/Latinx. Patients completed an average of 10.1 of 12 scheduled encounters during the 6-month intervention period. Model-estimated mean baseline HbA1c was 9.56% and improved to 8.14% at 6 months (- 1.43%, 95% CI: - 1.64, - 1.21; P < .001). Benefits persisted at 12 (- 1.26%, 95% CI: - 1.48, - 1.05; P < .001) and 18 months (- 1.08%, 95% CI - 1.35, - 0.81; P < .001). Patients reported increased engagement in self-management and awareness of glycemic control, while clinicians and HT nurses reported a moderate workload increase. As of this submission, some sites have maintained delivery of ACDC for up to 4 years. CONCLUSIONS: When strategically designed to leverage existing infrastructure, comprehensive telehealth interventions can be implemented successfully, even in rural areas. ACDC produced sustained improvements in glycemic control in a previously refractory population.

Heterogeneity of Treatment Effects Among Patients With Type 2 Diabetes and Elevated Body Mass Index in a Study Comparing Group Medical Visits Focused on Weight Management and Medication Intensification.

BACKGROUND: Illuminating heterogeneity of treatment effect (HTE) within trials is important for identifying target populations for implementation. OBJECTIVE: The aim of this study was to examine HTE in a trial of group medical visits (GMVs) for patients with type 2 diabetes and elevated body mass index. RESEARCH DESIGN AND MEASURES: Participants (n=263) were randomized to GMV-based medication management plus low carbohydrate diet-focused weight management (WM/GMV; n=127) or GMV-based medication management alone (GMV; n=136) for diabetes control. We used QUalitative INteraction Trees, a tree-based clustering method, to identify subgroups with greater improvement in hemoglobin A1c (HbA1c) and weight from either WM/GMV or GMV. Subgroup predictors included 32 baseline demographic, clinical, and psychosocial factors. Internal validation was conducted to estimate bias in the range of mean outcome differences between arms. RESULTS: QUalitative INteraction Trees analyses indicated that for patients who had not previously attempted weight loss, WM/GMV resulted in better glycemic control than GMV (mean difference in HbA1c improvement=1.48%). For patients who had previously attempted weight loss and had lower cholesterol and blood urea nitrogen, GMV was better than WM/GMV (mean difference in HbA1c improvement=1.51%). No treatment-subgroup effects were identified for weight. Internal validation resulted in moderate corrections in mean HbA1c differences between arms; however, differences remained in the clinically significant range. CONCLUSION: This work represents a novel step toward targeting care approaches for patients to maximize benefit based on individual patient characteristics.

Cognitive Mediators of Change in Physical Functioning in Response to a Multifaceted Intervention for Managing Osteoarthritis.

PURPOSE: Although non-pharmacological interventions have been shown to improve physical functioning in individuals with osteoarthritis (OA), the mechanisms by which this occurs are often unclear. This study assessed whether changes in arthritis self-efficacy, perceived pain control, and pain catastrophizing mediated changes in physical functioning following an osteoarthritis intervention involving weight management, physical activity, and cognitive-behavioral pain management. METHOD: Three hundred Veteran patients of 30 primary care providers with knee and/or hip OA were cluster randomized to an OA intervention group or usual care. The OA intervention included a 12-month phone-based patient behavioral protocol (weight management, physical activity, and cognitive-behavioral pain management) plus patient-specific OA treatment recommendations delivered to primary care providers. RESULTS: Using linear mixed models adjusted for provider clustering, we observed that baseline to 6-month changes in arthritis self-efficacy and pain control partially mediated baseline to 12-month physical functioning improvements for the intervention group; catastrophizing did not. CONCLUSION: Findings of a mediating role of arthritis self-efficacy and pain control in intervention-related functional changes are consistent with hypotheses and align with theoretical assertions of the role of cognitions in cognitive and behavioral interventions for chronic pain. However, contrary to hypotheses, catastrophizing was not found to be a mediator of these changes.

Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis.

BACKGROUND: Few studies have examined patterns of specific sleep problems among individuals with osteoarthritis (OA). The primary objective of this study was to examine prevalence of symptoms of insomnia and obstructive sleep apnea (OSA) among Veterans with OA. Secondary objectives were to assess proportions of individuals with insomnia and OSA symptoms who may have been undiagnosed and to examine Veterans' characteristics associated with insomnia and OSA symptoms. METHODS: Veterans (n = 300) enrolled in a clinical trial completed the Insomnia Severity Index (ISI) and the Berlin Questionnaire (BQ) at baseline; proportions of participants with symptoms consistent with insomnia and OSA were calculated, using standard cut-offs for ISI and BQ. For Veterans with insomnia and OSA symptoms, electronic medical records were searched to identify whether there was a diagnosis code for these conditions. Multivariable linear (ISI) and logistic (BQ) regression models examined associations of the following characteristics with symptoms of insomnia and OSA: age, gender, race, self-reported general health, body mass index (BMI), diagnosis of post-traumatic stress disorder (PTSD), pain severity, depressive symptoms, number of joints with arthritis symptoms and opioid use. RESULTS: Symptoms consistent with insomnia and OSA were found in 53 and 66% of this sample, respectively. Among participants screening positive for insomnia and OSA, diagnosis codes for these disorders were present in the electronic medical record for 22 and 51%, respectively. Characteristics associated with insomnia were lower age (ß (SE) = - 0.09 (0.04), 95% confidence interval [CI] = - 0.16, - 0.02), having a PTSD diagnosis (ß (SE) = 1.68 (0.73), CI = 0.25, 3.11), greater pain severity (ß (SE) = 0.36 (0.09), CI = 0.17, 0.55), and greater depressive symptoms (ß (SE) = 0.84 (0.07), CI = 0.70, 0.98). Characteristics associated with OSA were higher BMI (odds ratio [OR] = 1.13, CI = 1.06, 1.21), greater depressive symptoms (OR = 1.12, CI = 1.05, 1.20), and opioid use (OR = 0.51, CI = 0.26, 0.99). CONCLUSIONS: Insomnia and OSA symptoms were very common in Veterans with OA, and a substantial proportion of individuals with symptoms may have been undiagnosed. Characteristics associated with insomnia and OSA symptoms were consistent with prior studies. TRIAL REGISTRATION: NCT01130740 .

Patient, Provider, and Combined Interventions for Managing Osteoarthritis in Primary Care: A Cluster Randomized Trial.

BACKGROUND: A single-site study showed that a combined patient and provider intervention improved outcomes for patients with knee osteoarthritis, but it did not assess separate effects of the interventions. OBJECTIVE: To examine whether patient-based, provider-based, and patient-provider interventions improve osteoarthritis outcomes. DESIGN: Cluster randomized trial with assignment to patient, provider, and patient-provider interventions or usual care. (ClinicalTrials.gov: NCT01435109). SETTING: 10 Duke University Health System community-based primary care clinics. PARTICIPANTS: 537 outpatients with symptomatic hip or knee osteoarthritis. INTERVENTION: The telephone-based patient intervention focused on weight management, physical activity, and cognitive behavioral pain management. The provider intervention involved electronic delivery of patient-specific osteoarthritis treatment recommendations to providers. MEASUREMENTS: The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score at 12 months. Secondary outcomes were objective physical function (Short Physical Performance Battery) and depressive symptoms (Patient Health Questionnaire). Linear mixed models assessed the difference in improvement among groups. RESULTS: No difference was observed in WOMAC score changes from baseline to 12 months in the patient (-1.5 [95% CI, -5.1 to 2.0]; P = 0.40), provider (2.5 [CI, -0.9 to 5.9]; P = 0.152), or patient-provider (-0.7 [CI, -4.2 to 2.8]; P = 0.69) intervention groups compared with usual care. All groups had improvements in WOMAC scores at 12 months (range, -3.7 to -7.7). In addition, no differences were seen in objective physical function or depressive symptoms at 12 months in any of the intervention groups compared with usual care. LIMITATIONS: The study involved 1 health care network. Data on provider referrals were not collected. CONCLUSION: Contrary to a previous study of a combined patient and provider intervention for osteoarthritis in a Department of Veterans Affairs medical center, this study found no statistically significant improvements in the osteoarthritis intervention groups compared with usual care. PRIMARY FUNDING SOURCE: National Institute of Arthritis and Musculoskeletal and Skin Diseases.

A Combined Patient and Provider Intervention for Management of Osteoarthritis in Veterans: A Randomized Clinical Trial.

BACKGROUND: Management of osteoarthritis requires both medical and behavioral strategies, but some recommended therapies are underused. OBJECTIVE: To examine the effectiveness of a combined patient and provider intervention for improving osteoarthritis outcomes. DESIGN: Cluster randomized clinical trial with assignment to osteoarthritis intervention and usual care groups. (ClinicalTrials.gov: NCT01130740). SETTING: Department of Veterans Affairs Medical Center in Durham, North Carolina. PARTICIPANTS: 30 providers (clusters) and 300 outpatients with symptomatic hip or knee osteoarthritis. INTERVENTION: The telephone-based patient intervention focused on weight management, physical activity, and cognitive behavioral pain management. The provider intervention involved delivery of patient-specific osteoarthritis treatment recommendations to primary care providers through the electronic medical record. MEASUREMENTS: The primary outcome was total score on the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at 12 months. Secondary outcomes were WOMAC function and pain subscale scores, physical performance (Short Physical Performance Battery), and depressive symptoms (Patient Health Questionnaire-8). Linear mixed models that were adjusted for clustering of providers assessed between-group differences in improvement in outcomes. RESULTS: At 12 months, WOMAC scores were 4.1 points lower (indicating improvement) in the osteoarthritis intervention group versus usual care (95% CI, -7.2 to -1.1 points; P = 0.009). WOMAC function subscale scores were 3.3 points lower in the intervention group (CI, -5.7 to -1.0 points; P = 0.005). WOMAC pain subscale scores (P = 0.126), physical performance, and depressive symptoms did not differ between groups. Although more patients in the osteoarthritis intervention group received provider referral for recommended osteoarthritis treatments, the numbers who received them did not differ. LIMITATION: The study was conducted in a single Veterans Affairs medical center. CONCLUSION: The combined patient and provider intervention resulted in modest improvement in self-reported physical function in patients with hip and knee osteoarthritis. PRIMARY FUNDING SOURCE: Department of Veterans Affairs, Health Services Research and Development Service.

Development and implementation of an online program to improve how patients communicate emotional concerns to their oncology providers.

PURPOSE: Patients often struggle to express their emotional concerns to their oncology providers and may therefore experience unmet needs. This paper describes the development and implementation of an online program that teaches patients how to communicate their emotions to their oncology providers. METHODS: The intervention was developed by a multidisciplinary team consisting of palliative care physicians, psychologists, and an intervention software developer and included input from patients. It incorporated elements of Social Cognitive Theory and validated cognitive behavioral strategies for communication skills training. Strategies to increase intervention adherence were implemented midway through the study. RESULTS: The intervention consists of four interactive, online modules to teach patients strategies for expressing emotional concerns to their providers and asking for support. In addition to skill-building, the intervention was designed to raise patients' expectations that expressing emotional concerns to providers would be helpful, to enhance their self-efficacy for doing so, and to help them overcome barriers to having these conversations. After implementing strategies to improve adherence, usage rates increased from 47 to 64 %. CONCLUSIONS: This intervention addresses an unmet educational need for patients with advanced cancer. Strategies to increase adherence led to improvements in usage rates in this population of older patients. We are currently evaluating the intervention in a randomized clinical trial to determine its efficacy in increasing patient expression of emotional concerns and requests for support. If successful, this intervention could serve as a model for future online patient education programs.

Mechanisms of patient health behavior change in a randomized controlled trial of a spouse-assisted intervention.

Spouse-assisted interventions can improve health behaviors, but mechanisms of action are unknown. This study evaluated mediators of dietary and physical activity outcomes during a spouse-assisted intervention to improve low-density lipoprotein cholesterol. This is a secondary analysis of data from a randomized controlled trial comparing usual care (n = 128) to a spouse-assisted lifestyle change intervention (n = 127) comprising nine monthly goal setting telephone calls to participants and support planning calls to spouses over 11 months. Structural equation modeling was used to examine if the intervention influenced the putative mediators of participant self-efficacy and perceived spousal support at 6 months (i.e. action test); if changes in putative mediators at 6 months were associated with changes in diet and physical activity outcomes at 11 months (i.e. conceptual test); and if treatment condition effects on outcomes at 11 months were mediated by its effects on the 6-month putative mediators (i.e. indirect effects test). Participants were 94.9% male, 64.9% white and were 61.3 years old on average. The action test showed that the intervention increased dietary self-efficacy (p < .001) and perceived spousal support for diet (p < .001) and physical activity (p < .01) at 6 months. The conceptual test showed that increases in participant physical activity self-efficacy at 6 months were associated with increases in physical activity frequency (p = .01) and duration (p = .04) at 11 months; other putative mediators were not associated with changes in outcomes at 11 months. The indirect effects tests did not support a mediating role for self-efficacy or perceived spousal support. Intervention-induced changes in spousal support and dietary self-efficacy did not translate into behavior change. Other mechanisms may be driving behavior change.

Spouse health behavior outcomes from a randomized controlled trial of a spouse-assisted lifestyle change intervention to improve patient low-density lipoprotein cholesterol.

This study evaluated spouse health behavior outcomes from a randomized controlled trial of a spouse-assisted lifestyle intervention to reduce patient low-density lipoprotein cholesterol and improve patient health behaviors. Participants were 251 spouses of patients from the Durham Veterans Affairs Medical Center randomized to intervention or usual care. The intervention comprised 9 monthly telephone calls to patients and spouses. Outcomes were assessed at baseline, 6 and 11 months. At 11 months, there were no differences in spouse outcomes between intervention and usual care groups for moderate intensity physical activity (i.e., frequency, duration) or dietary intake (i.e., total calories, total fat, percentage of calories from total fat, saturated fat, percentage of calories from saturated fat, cholesterol, fiber). To improve spouse outcomes, couple interventions may need to include spouse behavior change goals and reciprocal support between patients and spouses and consider the need for improvement in spouse outcomes.

Clinic variation in recruitment metrics, patient characteristics and treatment use in a randomized clinical trial of osteoarthritis management.

BACKGROUND: The Patient and PRovider Interventions for Managing Osteoarthritis (OA) in Primary Care (PRIMO) study is one of the first health services trials targeting OA in a multi-site, primary care network. This multi-site approach is important for assessing generalizability of the interventions. These analyses describe heterogeneity in clinic and patient characteristics, as well as recruitment metrics, across PRIMO study clinics. METHODS: Baseline data were obtained from the PRIMO study, which enrolled n = 537 patients from ten Duke Primary Care practices. The following items were examined across clinics with descriptive statistics: (1) Practice Characteristics, including primary care specialty, numbers and specialties of providers, numbers of patients age 55+, urban/rural location and county poverty level; (2) Recruitment Metrics, including rates of eligibility, refusal and randomization; (3) Participants' Characteristics, including demographic and clinical data (general and OA-related); and (4) Participants' Self-Reported OA Treatment Use, including pharmacological and non-pharmacological therapies. Intraclass correlation coefficients (ICCs) were computed for participant characteristics and OA treatment use to describe between-clinic variation. RESULTS: Study clinics varied considerably across all measures, with notable differences in numbers of patients age 55+ (1,507-5,400), urban/rural location (ranging from "rural" to "small city"), and proportion of county households below poverty level (12%-26%). Among all medical records reviewed, 19% of patients were initially eligible (10%-31% across clinics), and among these, 17% were randomized into the study (13%-21% across clinics). There was considerable between-clinic variation, as measured by the ICC (>0.01), for the following patient characteristics and OA treatment use variables: age (means: 60.4-66.1 years), gender (66%-88% female), race (16%-61% non-white), low income status (5%-27%), presence of hip OA (26%-68%), presence both knee and hip OA (23%-61%), physical therapy for knee OA (24%-61%) and hip OA (0%-71%), and use of knee brace with metal supports (0%-18%). CONCLUSIONS: Although PRIMO study sites were part of one primary care practice network in one health care system, clinic and patient characteristics varied considerably, as did OA treatment use. This heterogeneity illustrates the importance of including multiple, diverse sites in trials for knee and hip OA, to enhance the generalizability and evaluate potential for real-world implementation. CLINICAL TRIAL REGISTRATION NUMBER: NCT 01435109.

Diabetes distress in Veterans with type 2 diabetes mellitus: Qualitative descriptive study.

Diabetes distress (DD) is a negative psychosocial response to living with type 2 diabetes mellitus (T2DM). We sought insight into Veterans' experiences with DD in the context of T2DM self-management. The four domains in the Diabetes Distress Scale (i.e. regimen, emotional, interpersonal, healthcare provider) informed the interview guide and analysis (structural coding using thematic analysis). The mean age of the cohort (n = 36) was 59.1 years (SD 10.4); 8.3% of patients were female and 63.9% were Black or Mixed Race; mean A1C was 8.8% (SD 2.0); and mean DDS score was 2.4 (SD 1.1), indicating moderate distress. Veterans described DD and challenges to T2DM self-management across the four domains in the Diabetes Distress Scale. We found that (1) Veterans' challenges with their T2DM self-management routines influenced DD and (2) Veterans experienced DD across a wide range of domains, indicating that clinical interventions should take a "whole-person" approach.Trial Registration: NCT04587336.

Validating a tool to measure spiritual beliefs, needs and resources in serious illness: The I-SPIRIT.

BACKGROUND: Seriously ill patients rely on spiritual and existential beliefs to support coping and approach crucial treatment and healthcare decisions. Yet, we lack gold standard, validated approaches to gathering information on those spiritual beliefs. Therefore, we developed I-SPIRIT, a spiritual needs and beliefs inventory for those with serious illness (IIR-10-050). METHODS: In prior work to develop measure content, we interviewed a total of 74 participants: 20 patients (veterans with Stage IV cancer, CHF, COPD, ESRD), 19 caregivers, 14 chaplains, 10 social workers, 12 nurses, and 5 physicians. Using directed content analyses, we identified over 50 attributes of spiritual experience comprising five domains: overall importance of spirituality; affiliations and practices; impact on decisions; spiritual needs; and spiritual resources. We then translated these attributes into individual items with Likert response scales. In the quantitative validation of I-SPIRIT, we administered the instrument and a battery of comparison measures to 249 seriously ill veterans. The comparison measures captured general spiritual well-being, religious coping, and emotional functioning. Convergent and discriminant validity was examined with the FACIT-sp (faith, meaning, and purpose), BMMRS (religious/spirituality), POMS and PHQ-8 (emotional function), and FACT-G (quality of life). We administered the I-SPIRIT a week later, for test-retest reliability. RESULTS: Psychometric analyses yielded a final I-SPIRIT Tool including 30 items. Results demonstrated reliability and validity and yielded a tool with three main components: Spiritual Beliefs (seven items); Spiritual Needs (nine items); and Spiritual Resources (14 items). The Spiritual Beliefs items include key practices and affiliations, and impact of beliefs on healthcare. Higher levels of Spiritual Needs were associated with higher anxiety and depression. CONCLUSION: The I-Spirit measures relevance of spirituality, spiritual needs and spiritual resources and demonstrates validity, reliability, and acceptability for patients with serious illness.

A randomized controlled trial to evaluate the effectiveness of CouPLES: a spouse-assisted lifestyle change intervention to improve low-density lipoprotein cholesterol.

OBJECTIVE: This randomized controlled trial evaluated the effectiveness of a telephone-delivered, spouse-assisted lifestyle intervention to reduce patient LDL-C. METHOD: From 2007 to 2010, 255 outpatients with LDL-C>76 mg/dL and their spouses from the Durham Veterans Affairs Medical Center were randomized to intervention or usual care. The intervention comprised nine monthly goal-setting telephone calls to patients and support planning calls to spouses. Outcomes were assessed at 11 months. RESULTS: Patients were 95% male and 65% White. LDL-C did not differ between groups (mean difference = 2.3 mg/dL, 95% CI = -3.6, 8.3, p = 0.44), nor did the odds of meeting goal LDL-C (OR = 0.95, 95% CI = 0.6, 1.7; p = 0.87). Intakes of calories (p = 0.03), total fat (p = 0.02), and saturated fat (p = 0.02) were lower for the intervention group. Cholesterol and fiber intake did not differ between groups (p = 0.11 and 0.26, respectively). The estimated rate of moderate intensity physical activity per week was 20% higher in the intervention group (IRR = 1.2, 95% CI = 1.0, 1.5, p = 0.06). Most participants did not experience a change in cholesterol medication usage during the study period in the intervention (71.7%) and usual care (78.9%) groups. CONCLUSION: This intervention might be an adjunct to usual primary care to improve adherence to lifestyle behaviors.

Patient self-efficacy and spouse perception of spousal support are associated with lower patient weight: baseline results from a spousal support behavioral intervention.

Obesity and related chronic illnesses are leading causes of death and excessive health care costs, necessitating identification of factors that can help patients achieve and maintain healthy weight. Greater self-efficacy and perceived spousal support in patients have been associated with successful weight management. The current study also assesses self-efficacy and perceived support in spouses and whether these factors are related to patient weight. At baseline of a spousal support trial, patients and spouses (N = 255 couples) each completed measures of self-efficacy and spousal support for their own exercise and healthy eating behaviors. We fit a multivariable regression model to examine the relationship between these factors and patient weight. Patients were 95% males and 65% Whites, with average age of 61 years (SD = 12) and weight of 212 lbs (SD = 42). Spouses were 64% Whites, with average age of 59 years (SD = 12). Factors associated with lower patient weight were older patient age (estimate = -0.8 lbs, p < .01), normal blood pressure (estimate = -17.6 lbs, p < .01), higher patient self-efficacy for eating healthy (estimate = -3.8 lbs, p = .02), and spouse greater perceived support for eating healthy (estimate = -10.0 lbs, p = .03). Future research should explore the causal pathways between perceived support and health outcomes to establish whether patient support behaviors could be a point of intervention for weight management.

Factors Associated With Diabetes Distress Among Patients With Poorly Controlled Type 2 Diabetes.

Objective: Examine factors associated with increased diabetes distress (DD) among patients with type 2 diabetes with DD assessed by Diabetes Distress Scale (DDS) total and subscale scores (emotional burden, physician-related distress, regimen-related distress, and interpersonal distress). Methods: Cross-sectional analysis of data from veterans with persistently poorly controlled diabetes mellitus. Multivariable linear regression models included baseline patient characteristics (independent variables) and DDS total and subscale scores (dependent variable). Results: The cohort's (N = 248) mean age was 58 years (SD 8.3); 21% were female, 79% were non-White, and 5% were Hispanic/Latinx. Mean hemoglobin A1c (HbA1c) was 9.8%, and 37.5% had moderate to high DD. Hispanic/Latinx ethnicity (ß=0.41; 95% CI 0.01, 0.80), baseline HbA1c (0.07; 95% CI 0.01,0.13), and higher Personal Health Questionnaire-8 (PHQ-8) scores (0.07; 95% CI 0.05, 0.09) were associated with higher total DD. Hispanic/Latinx ethnicity (0.79; 95% CI 0.25, 1.34) and higher PHQ-8 (0.05; 95% CI 0.03, 0.08) were associated with higher interpersonal-related distress. Higher HbA1c (0.15; 95% CI 0.06, 0.23) and higher PHQ-8 scores (0.10; 95% CI 0.07, 0.13) were associated with higher regimen-related distress. The use of basal insulin (0.28; 95% CI 0.001, 0.56) and higher PHQ-8 (0.02; 95% CI 0.001, 0.05) were associated with higher physician-related distress. Higher PHQ-8 (0.10; 95% CI 0.07, 0.12) was associated with higher emotional burden. Conclusion: Hispanic/Latinx ethnicity, depressive symptoms, uncontrolled hyperglycemia, and insulin use were associated with higher risk for DD. Future research should explore these relationships, and interventions designed to reduce diabetes distress should consider accounting for these factors.

Provider-supported self-management cognitive behavioral therapy for insomnia (Tele-Self CBTi): Protocol for a randomized controlled trial.

BACKGROUND: Cognitive Behavioral Therapy for Insomnia (CBTi) is recommended as first-line treatment for insomnia, yet patient access to CBTi is limited. Self-help CBTi could increase patient access. Self-help CBTI with provider sup]port is more effective and is preferred by patients. Self-help CBTi has not been evaluated in veterans; a population with greater medical and mental health morbidity and more severe sleep difficulties than non-veterans. Moreover, those with mental health conditions have been largely excluded from prior CBTi self-help trials. Stablishing the efficacy of provider-supported Self-help CBTi is an important first step for expanding veteran access to CBTi. METHODS: In a 2-armed randomized controlled trial, a provider-supported self-help CBTi (Tele-Self CBTi) is compared to Health Education for improving insomnia severity (primary outcome) among treatment-seeking veterans with insomnia disorder. Tele-Self CBTi is comprised of two treatment components: self-help CBTi via a professionally designed manual developed using an iterative process of expert review and patient input; and 6 telephone-based support sessions lasting >20 min. Outcomes are assessed at baseline, 8 weeks, and 6 months after baseline. The primary outcome, insomnia severity, is measured using the Insomnia Severity Index. Secondary outcomes include self-reported and actigraphy-assessed sleep, fatigue, depression symptoms, and sleep-related quality of life. CONCLUSION: Innovative approaches are essential to improving overall health among veterans; a population with highly prevalent insomnia disorder. If effective, Tele-Self CBTi may bridge the gap between unavailable resources and high demand for CBTi and serve as the entry level intervention in a stepped model of care. GOV IDENTIFIER: NCT03727438.

Veterans Health Administration National TeleOncology Service.

PURPOSE: As the largest integrated health care system in the United States, the Veterans Health Administration (VA) is a leader in telehealth-delivered care. All 10 million Veterans cared for within the VA are eligible for telehealth. The VA cares for approximately 46,000 Veteran patients with newly diagnosed cancer and an estimated 400,000 prevalent cases annually. With nearly 38% of VA health care system users residing in rural areas and only 44% of rural counties having an oncologist, many Veterans lack local access to specialized cancer services. METHODS: We describe the VA's National TeleOncology (NTO) Service. NTO was established to provide Veterans with the opportunity for specialized treatment regardless of geographical location. Designed as a hub-and-spoke model, VA oncologists from across the country can provide care to patients at spoke sites. Spoke sites are smaller and rural VA medical centers that are less able to independently provide the full range of services available at larger facilities. In addition to smaller rural spoke sites, NTO also provides subspecialized oncology care to Veterans located in larger VA medical facilities that do not have subspecialties available or that have limited capacity. RESULTS: As of fiscal year 2021, 23 clinics are served by or engaged in planning for delivery of NTO and there are 24 physicians providing care through the NTO virtual hub. Most NTO physicians continue to provide patient care in separate traditional in-person clinics. Approximately 4,300 unique Veterans have used NTO services. Approximately half (52%) of Veterans using NTO lived in rural areas. Most of these Veterans had more than one remote visit through NTO. CONCLUSION: NTO is a state-of-the-art model that has the potential to revolutionize the way cancer care is delivered, which should improve the experience of Veterans receiving cancer care.

Enhancing communication between oncologists and patients with a computer-based training program: a randomized trial.

BACKGROUND: Quality cancer care requires addressing patients' emotions, which oncologists infrequently do. Multiday courses can teach oncologists skills to handle emotion; however, such workshops are long and costly. OBJECTIVE: To test whether a brief, computerized intervention improves oncologist responses to patient expressions of negative emotion. DESIGN: Randomized, controlled, parallel-group trial stratified by site, sex, and oncologic specialty. Oncologists were randomly assigned to receive a communication lecture or the lecture plus a tailored CD-ROM. (ClinicalTrials.gov registration number: NCT00276627) SETTING: Oncology clinics at a comprehensive cancer center and Veterans Affairs Medical Center in Durham, North Carolina, and a comprehensive cancer center in Pittsburgh, Pennsylvania. PARTICIPANTS: 48 medical, gynecologic, and radiation oncologists and 264 patients with advanced cancer. INTERVENTION: Oncologists were randomly assigned in a 1:1 ratio to receive an interactive CD-ROM about responding to patients' negative emotions. The CD-ROM included tailored feedback on the oncologists' own recorded conversations. MEASUREMENTS: Postintervention audio recordings were used to identify the number of empathic statements and responses to patients' expressions of negative emotion. Surveys evaluated patients' trust in their oncologists and perceptions of their oncologists' communication skills. RESULTS: Oncologists in the intervention group used more empathic statements (relative risk, 1.9 [95% CI, 1.1 to 3.3]; P = 0.024) and were more likely to respond to negative emotions empathically (odds ratio, 2.1 [CI, 1.1 to 4.2]; P = 0.028) than control oncologists. Patients of intervention oncologists reported greater trust in their oncologists than did patients of control oncologists (estimated mean difference, 0.1 [CI, 0.0 to 0.2]; P = 0.036). There was no significant difference in perceptions of communication skills. LIMITATIONS: Long-term effects were not examined. The findings may not be generalizable outside of academic medical centers. CONCLUSION: A brief computerized intervention improves how oncologists respond to patients' expressions of negative emotions. PRIMARY FUNDING SOURCE: National Cancer Institute.

Patient and provider interventions for managing osteoarthritis in primary care: protocols for two randomized controlled trials.

BACKGROUND: Osteoarthritis (OA) of the hip and knee are among the most common chronic conditions, resulting in substantial pain and functional limitations. Adequate management of OA requires a combination of medical and behavioral strategies. However, some recommended therapies are under-utilized in clinical settings, and the majority of patients with hip and knee OA are overweight and physically inactive. Consequently, interventions at the provider-level and patient-level both have potential for improving outcomes. This manuscript describes two ongoing randomized clinical trials being conducted in two different health care systems, examining patient-based and provider-based interventions for managing hip and knee OA in primary care. METHODS / DESIGN: One study is being conducted within the Department of Veterans Affairs (VA) health care system and will compare a Combined Patient and Provider intervention relative to usual care among n = 300 patients (10 from each of 30 primary care providers). Another study is being conducted within the Duke Primary Care Research Consortium and will compare Patient Only, Provider Only, and Combined (Patient + Provider) interventions relative to usual care among n = 560 patients across 10 clinics. Participants in these studies have clinical and / or radiographic evidence of hip or knee osteoarthritis, are overweight, and do not meet current physical activity guidelines. The 12-month, telephone-based patient intervention focuses on physical activity, weight management, and cognitive behavioral pain management. The provider intervention involves provision of patient-specific recommendations for care (e.g., referral to physical therapy, knee brace, joint injection), based on evidence-based guidelines. Outcomes are collected at baseline, 6-months, and 12-months. The primary outcome is the Western Ontario and McMasters Universities Osteoarthritis Index (self-reported pain, stiffness, and function), and secondary outcomes are the Short Physical Performance Test Protocol (objective physical function) and the Patient Health Questionnaire-8 (depressive symptoms). Cost effectiveness of the interventions will also be assessed. DISCUSSION: Results of these two studies will further our understanding of the most effective strategies for improving hip and knee OA outcomes in primary care settings. TRIAL REGISTRATION: NCT01130740 (VA); NCT 01435109 (NIH).