A Randomized Controlled Trial to Improve Unmet Social Needs and Clinical Outcomes Among Adults with Diabetes.

BACKGROUND: Adults with type 1 or type 2 diabetes often face financial challenges and other unmet social needs to effective diabetes self-management. OBJECTIVE: Whether a digital intervention focused on addressing socioeconomic determinants of health improves diabetes clinical outcomes more than usual care. DESIGN: Randomized trial from 2019 to 2023. PARTICIPANTS: A total of 600 adults with diabetes, HbA1c ≥ 7.5%, and self-reported unmet social needs or financial burden from a health system and randomized to the intervention or standard care. INTERVENTION: CareAvenue is an automated, e-health intervention with eight videos that address unmet social needs contributing to poor outcomes. MEASURES: Primary outcome was HbA1c, measured at baseline, and 6 and 12 months after randomization. Secondary outcomes included systolic blood pressure and reported met social needs, cost-related non-adherence (CRN), and financial burden. We examined main effects and variation in effects across predefined subgroups. RESULTS: Seventy-eight percent of CareAvenue participants completed one or more modules of the website. At 12-month follow-up, there were no significant differences in HbA1c changes between CareAvenue and control group (p = 0.24). There were also no significant between-group differences in systolic blood pressure (p = 0.29), met social needs (p = 0.25), CRN (p = 0.18), and perceived financial burden (p = 0.31). In subgroup analyses, participants with household incomes 100-400% FPL (1.93 (SE = 0.76), p < 0.01), 201-400% FPL (1.30 (SE = 0.62), p < 0.04), and > 400% FPL (1.27 (SE = 0.64), p < 0.05) had significantly less A1c decreases compared to the control group. CONCLUSIONS: On average, CareAvenue participants did not achieve better A1c lowering, met needs, CRN, or perceived financial burden compared to control participants. CareAvenue participants with higher incomes achieved significantly less A1c reductions than control. Further research is needed on social needs interventions that consider tailored approaches to population subgroups. CLINICAL TRIALS REGISTRY: ClinicalTrials.gov ID NCT03950973, May 2019.

A Pilot Randomized Trial of a Purposeful and Stimulating Volunteer Opportunity: Program Satisfaction and Potential Impacts on Perceived Cognitive Change in a Neurologically Mixed Sample of Older Adults.

BACKGROUND: Purposeful social interactions are important for healthy aging. We conducted a pilot trial of SPEAK! (Seniors Promoting English Acquisition and Knowledge), an intervention providing older volunteers with a safe, accessible opportunity to converse via webcam with English-language learners. METHODS: A neurologically mixed sample of older adults was randomized to 8 weekly, webcam conversations with English-language learners or a waitlist control. Outcomes included the Cognitive Change Index (CCI) and surveys of program satisfaction. Here, we report on session completion, intervention satisfaction, and follow-up CCI scores. Exploratory analyses of CCI intervention effects controlled for baseline CCI scores and the interaction between group and baseline CCI. RESULTS: Participants (N=38) were on average 70.8 years of age, 28/38 were White, and 16/38 demonstrated possible cognitive impairment on the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Pairs completed 115/136 sessions (85%) and all volunteers said they would recommend the program. Controlling for the interaction between baseline CCI and randomization group, SPEAK! volunteers had better follow-up CCI scores than controls (P=0.018). Improvements in CCI were greater among participants with fewer baseline memory problems. CONCLUSIONS: SPEAK! was feasible and appreciated by older adults with and without cognitive impairment. Larger studies should confirm benefits for memory and other determinants of quality of life.

Providing a Purposeful and Stimulating Volunteer Opportunity for Older Adults With Mild Cognitive Impairment: A Pilot Study.

Social interactions have cognitive and emotional benefits for older adults with mild cognitive impairment (MCI). The prevalence of loneliness and isolation in this population has been repeatedly noted, but interventions remain limited. We designed a program to connect older adults with MCI with an engaging volunteering opportunity, through videoconferencing conversations with another adult practicing English (English language learner). Ten MCI-English language learner pairs had conversation sessions over 6 weeks. We tracked session engagement, monitored conversations, and interviewed participants at follow-up. Pairs completed 78% of scheduled sessions; only 7% were missed because the MCI participant canceled or failed to appear. Qualitative interviews suggested that participants felt comfortable and engaged. No negative experiences were observed or reported. This program is feasible and potentially desirable for older adults with MCI. This model is interesting given the concern about in-person volunteering risks, and the millions of people motivated to improve English fluency.

Using Daily Ratings to Examine Treatment Dose and Response in Cognitive Behavioral Therapy for Chronic Pain: A Secondary Analysis of the Co-Operative Pain Education and Self-Management Clinical Trial.

BACKGROUND: Cognitive behavioral therapy for chronic pain (CBT-CP) has a strong evidence base, but little is known about when treatment benefits are achieved. The present study is a secondary analysis of individuals with chronic back pain recruited for a noninferiority trial comparing interactive voice response (IVR) CBT-CP with in-person CBT-CP. METHODS: On the basis of data from daily IVR surveys, a clinically meaningful change was defined as a 30% reduction in pain intensity (n = 108) or a 45% increase in daily steps (n = 104) compared with the baseline week. We identified individuals who achieved a meaningful change at any point during treatment, and then we compared those who maintained a meaningful change in their final treatment week (i.e., responders) with those who did not or who achieved a meaningful change but lapsed (i.e., nonresponders). RESULTS: During treatment, 46% of participants achieved a clinically meaningful decrease in pain intensity, and 66% achieved a clinically significant increase in number of steps per day. A total of 54% of patients were classified as responders in terms of decreases in pain intensity, and 70% were responders in terms of increases in step count. Survival analyses found that 50% of responders first achieved a clinically meaningful change by week 4 for pain intensity and week 2 for daily steps. Dropout and demographic variables were unrelated to responder status, and there was low agreement between the two measures of treatment response. CONCLUSIONS: Collectively, results suggest that most responders improve within 4 weeks. Evaluating treatment response is highly specific to the outcome measure, with little correlation across outcomes.

An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures.

BACKGROUND: Some patients prescribed opioid analgesic (OA) medications for pain experience serious side effects, including dependence, sedation, and overdose. As most patients are at low risk for OA-related harms, risk reduction interventions requiring multiple counseling sessions are impractical on a large scale. OBJECTIVE: This study evaluates whether an intervention based on reinforcement learning (RL), a field of artificial intelligence, learned through experience to personalize interactions with patients with pain discharged from the emergency department (ED) and decreased self-reported OA misuse behaviors while conserving counselors' time. METHODS: We used data representing 2439 weekly interactions between a digital health intervention ("Prescription Opioid Wellness and Engagement Research in the ED" [PowerED]) and 228 patients with pain discharged from 2 EDs who reported recent opioid misuse. During each patient's 12 weeks of intervention, PowerED used RL to select from 3 treatment options: a brief motivational message delivered via an interactive voice response (IVR) call, a longer motivational IVR call, or a live call from a counselor. The algorithm selected session types for each patient each week, with the goal of minimizing OA risk, defined in terms of a dynamic score reflecting patient reports during IVR monitoring calls. When a live counseling call was predicted to have a similar impact on future risk as an IVR message, the algorithm favored IVR to conserve counselor time. We used logit models to estimate changes in the relative frequency of each session type as PowerED gained experience. Poisson regression was used to examine the changes in self-reported OA risk scores over calendar time, controlling for the ordinal session number (1st to 12th). RESULTS: Participants on average were 40 (SD 12.7) years of age; 66.7% (152/228) were women and 51.3% (117/228) were unemployed. Most participants (175/228, 76.8%) reported chronic pain, and 46.2% (104/225) had moderate to severe depressive symptoms. As PowerED gained experience through interactions over a period of 142 weeks, it delivered fewer live counseling sessions than brief IVR sessions (P=.006) and extended IVR sessions (P<.001). Live counseling sessions were selected 33.5% of the time in the first 5 weeks of interactions (95% CI 27.4%-39.7%) but only for 16.4% of sessions (95% CI 12.7%-20%) after 125 weeks. Controlling for each patient's changes during the course of treatment, this adaptation of treatment-type allocation led to progressively greater improvements in self-reported OA risk scores (P<.001) over calendar time, as measured by the number of weeks since enrollment began. Improvement in risk behaviors over time was especially pronounced among patients with the highest risk at baseline (P=.02). CONCLUSIONS: The RL-supported program learned which treatment modalities worked best to improve self-reported OA risk behaviors while conserving counselors' time. RL-supported interventions represent a scalable solution for patients with pain receiving OA prescriptions. TRIAL REGISTRATION: Clinicaltrials.gov NCT02990377; https://classic.clinicaltrials.gov/ct2/show/NCT02990377.

Impact of a Dyadic Intervention on Family Supporter Involvement in Helping Adults Manage Type 2 Diabetes.

BACKGROUND: Family support for adults' diabetes care is associated with improved self-management and outcomes, but healthcare providers lack structured ways to engage those supporters. OBJECTIVE: Assess the impact of a patient-supporter diabetes management intervention on supporters' engagement in patients' diabetes care, support techniques, and caregiving experience. DESIGN: Multivariate regression models examined between-group differences in support-related measures observed as part of a larger trial randomizing participants to a dyadic intervention versus usual care. PARTICIPANTS: A total of 239 adults with type 2 diabetes and either A1c >8% or systolic blood pressure >160mmHg enrolled with a family supporter. INTERVENTION: Health coaches provided training on positive support techniques and facilitated self-management information sharing and goal-setting. MAIN MEASURES: Patient and supporter reports at baseline and 12 months of supporter roles in diabetes care and caregiving experience. RESULTS: At 12 months, intervention-assigned patients had higher odds of reporting increased supporter involvement in remembering medical appointments (AOR 2.74, 95% CI 1.44, 5.21), performing home testing (AOR 2.40, 95% CI 1.29, 4.46), accessing online portals (AOR 2.34, 95% CI 1.29, 4.30), deciding when to contact healthcare providers (AOR 2.12, 95% CI 1.15, 3.91), and refilling medications (AOR 2.10, 95% CI 1.14, 3.89), but not with attending medical appointments or with healthy eating and exercise. Intervention-assigned patients reported increased supporter use of autonomy supportive communication (+0.27 points on a 7-point scale, p=0.02) and goal-setting techniques (+0.30 points on a 5-point scale, p=0.01). There were no differences at 12 months in change scores measuring supporter distress about patients' diabetes or caregiving burden. Intervention-assigned supporters had significantly larger increases in satisfaction with health system support for their role (+0.88 points on a 10-point scale, p=0.01). CONCLUSIONS: A dyadic patient-supporter intervention led to increased family supporter involvement in diabetes self-management and increased use of positive support techniques, without increasing caregiver stress.

A Pilot Study of a Chronic Pain Self-Management Program Delivered by Community Health Workers to Underserved African American Older Adults.

OBJECTIVE: African American older adults living in disadvantaged communities are disproportionately burdened by disabling pain. To address their needs, we tested the feasibility and potential effects of a cognitive-behavioral chronic pain self-management program delivered by community health workers. DESIGN: A single-group, pre-post evaluation of the STEPS-2 (Seniors using Technology to Engage in Pain Self-management) intervention, in which participants learned pain-management skills through web-based videos. They were also given wearable activity trackers to facilitate incremental increases in walking. In weekly telephone calls, community health workers helped participants apply skills and set goals. SUBJECTS/SETTING: Thirty-one adults in Detroit, Michigan (97% African American, 97% female, mean 68.7 years), with chronic musculoskeletal pain. METHODS: Participants completed telephone surveys at baseline and eight weeks. We measured changes in PROMIS pain interference and pain intensity, as well as Patient Global Impression of Change in pain and functioning. Feasibility indicators included participant engagement and satisfaction, and fidelity to session protocols by community health workers. RESULTS: Participants on average completed 6.6/7 sessions, and 100% agreed or strongly agreed that they improved their understanding of pain management. Average community health worker fidelity score was 1.79 (0 to 2 scale). Pain interference decreased from baseline to post-program (T-score 61.6 to 57.3, P=.000), as did pain intensity (0 to 10 scale, 6.3 to 5.1, P=.004). Approximately 90% of participants reported that pain and function were at least "a little better" since baseline. CONCLUSIONS: An intervention combining mobile health tools with support from community health workers holds promise for improving pain outcomes among underserved older adults.

Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: Decentralized Randomized Controlled Trial.

BACKGROUND: Seasonal influenza affects 5% to 15% of Americans annually, resulting in preventable deaths and substantial economic impact. Influenza infection is particularly dangerous for people with cardiovascular disease, who therefore represent a priority group for vaccination campaigns. OBJECTIVE: We aimed to assess the effects of digital intervention messaging on self-reported rates of seasonal influenza vaccination. METHODS: This was a randomized, controlled, single-blind, and decentralized trial conducted at individual locations throughout the United States over the 2020-2021 influenza season. Adults with self-reported cardiovascular disease who were members of the Achievement mobile platform were randomized to receive or not receive a series of 6 patient-centered digital intervention messages promoting influenza vaccination. The primary end point was the between-group difference in self-reported vaccination rates at 6 months after randomization. Secondary outcomes included the levels of engagement with the messages and the relationship between vaccination rates and engagement with the messages. Subgroup analyses examined variation in intervention effects by race. Controlling for randomization group, we examined the impact of other predictors of vaccination status, including cardiovascular condition type, vaccine drivers or barriers, and vaccine knowledge. RESULTS: Of the 49,138 randomized participants, responses on the primary end point were available for 11,237 (22.87%; 5575 in the intervention group and 5662 in the control group) participants. The vaccination rate was significantly higher in the intervention group (3418/5575, 61.31%) than the control group (3355/5662, 59.25%; relative risk 1.03, 95% CI 1.004-1.066; P=.03). Participants who were older, more educated, and White or Asian were more likely to report being vaccinated. The intervention was effective among White participants (P=.004) but not among people of color (P=.42). The vaccination rate was 13 percentage points higher among participants who completed all 6 intervention messages versus none, and at least 2 completed messages appeared to be needed for effectiveness. Participants who reported a diagnosis of COVID-19 were more likely to be vaccinated for influenza regardless of treatment assignment. CONCLUSIONS: This personalized, evidence-based digital intervention was effective in increasing vaccination rates in this population of high-risk people with cardiovascular disease. TRIAL REGISTRATION: ClinicalTrials.gov NCT04584645; https://clinicaltrials.gov/ct2/show/NCT04584645.

Technology-Facilitated Depression Self-Management Linked with Lay Supporters and Primary Care Clinics: Randomized Controlled Trial in a Low-Income Sample.

Purpose: To test whether technology-facilitated self-management support improves depression in primary care settings. Methods: We randomized 204 low-income primary care patients who had at least moderate depressive symptoms to intervention or control. Intervention participants received 12 months of weekly automated interactive voice response telephone calls that assessed their symptom severity and provided self-management strategies. Their patient-nominated supporter (CarePartner) received corresponding guidance on self-management support, and their primary care team received urgent notifications. Those randomized to enhanced usual care received printed generic self-management instructions. Results: One-year attrition rate was 14%. By month 6, symptom severity on the Patient Health Questionnaire-9 (PHQ-9) decreased 2.5 points more in the intervention arm than in the control arm (95% CI -4.2 to -0.8, p = 0.003). This benefit was similar at month 12 (p = 0.004). Intervention was also over twice as likely to lead to ≥50% reduction in symptom severity by month 6 (OR = 2.2 (1.1, 4.7)) and a decrease of ≥5 PHQ-9 points by month 12 (OR = 2.3 (1.2, 4.4)). Conclusions: Technology-facilitated self-management guidance with lay support and clinician notifications improves depression for primary care patients. Subsequent research should examine implementation and generalization to other chronic conditions. clinicaltrials.gov, identifier NCT01834534.

Diabetes Distress Among Dyads of Patients and Their Health Supporters: Links With Functional Support, Metabolic Outcomes, and Cardiac Risk.

BACKGROUND: Patients with diabetes (PWD) often experience diabetes distress which is associated with worse self-management and glycemic control. In contrast, PWD who receive support from family and friends (supporters) have better diabetes outcomes. PURPOSE: To examine the associations of PWD diabetes distress and supporters' distress about PWDs' diabetes with supporters' roles and PWD cardiometabolic outcomes. METHODS: We used baseline data from 239 adults with Type 2 diabetes and their supporters participating in a longitudinal trial. PWD and supporter diabetes distress (high vs. low) were determined using the Problem Areas in Diabetes Scale-5. Outcomes included PWD-reported help from supporters with self-care activities, supporter-reported strain, PWD metabolic outcomes (glycemic control [HbA1c], systolic blood pressure [SBP], and non-HDL cholesterol) and 5 and 10 year risk of cardiac event (calculated using the United Kingdom Prospective Diabetes Study algorithm). RESULTS: PWDs with high diabetes distress were more likely to report that their supporters helped with taking medications, coordinating medical care, and home glucose testing (p's < .05), but not more likely to report help with diet or exercise. High supporter distress was associated with greater supporter strain (p < .001). High supporter diabetes distress was associated with higher PWD HbA1c (p = .045), non-HDL cholesterol (p = .011), and 5 (p = .002) and 10 year (p = .001) cardiac risk. CONCLUSIONS: Adults with high diabetes distress report more supporter help with medically focused self-management but not with diet and exercise. Supporter distress about PWD diabetes was consistently associated with worse outcomes. PWD diabetes distress had mixed associations with their diabetes outcomes.

ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration.

OBJECTIVE: We describe the most frequently used musculoskeletal diagnoses in Veterans Health Administration care. We report the number of visits and patients associated with common musculoskeletal International Classification of Diseases (ICD)-10 codes and compare trends across primary and specialty care settings. DESIGN: Secondary analysis of a longitudinal cohort study. SUBJECTS: Veterans included in the Musculoskeletal Diagnosis Cohort with a musculoskeletal diagnosis from October 1, 2015, through September 30, 2017. METHODS: We obtained counts and proportions of all musculoskeletal diagnosis codes used and the number of unique patients with each musculoskeletal diagnosis. Diagnosis use was compared between primary and specialty care settings. RESULTS: Of more than 6,400 possible ICD-10 M-codes describing "Diseases of the Musculoskeletal System and Connective Tissue," 5,723 codes were used at least once. The most frequently used ICD-10 M-code was "Low Back Pain" (18.3%), followed by "Cervicalgia" (3.6%). Collectively, the 100 most frequently used codes accounted for 80% of M-coded visit diagnoses, and 95% of patients had at least one of these diagnoses. The most common diagnoses (spinal pain, joint pain, osteoarthritis) were used similarly in primary and specialty care settings. CONCLUSION: A diverse sample of all available musculoskeletal diagnosis codes were used; however, less than 2% of all possible codes accounted for 80% of the diagnoses used. This trend was consistent across primary and specialty care settings. The most frequently used diagnosis codes describe the types of musculoskeletal conditions, among a large pool of potential diagnoses, that prompt veterans to present to the Veterans Health Administration for musculoskeletal care.

Incorporating walking into cognitive behavioral therapy for chronic pain: safety and effectiveness of a personalized walking intervention.

We examined the effectiveness and safety of a walking program offered as part of cognitive behavioral therapy for chronic pain (CBT-CP). Participants were randomized to 10 weeks of CBT-CP, delivered either in person or by interactive voice response. Participants reported pedometer-measured step counts daily throughout treatment and received a weekly goal to increase their steps by 10% over the prior week's average. Walking-related adverse events (AEs) were assessed weekly. Participants (n = 125) were primarily male (72%), and white (80%) with longstanding pain (median: 11 years). There was no significant difference between treatment groups in rate of change in daily steps, but there was a significant increase in steps from baseline to treatment termination in the combined study sample (1648 steps (95% CI 1063-2225)). Participants classified as active doubled. AEs were mostly minor and temporary. Treatment was effective and safe whether the program was delivered in-person or remotely.Trial registration number: clinicaltrials.gov identifier: NCT01025752.

Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults.

BACKGROUND: Wearable activity trackers may facilitate walking for chronic pain management. OBJECTIVE: We assessed the acceptability of a commercially available tracker and three alternative modes of reporting daily steps among older adults in a low-income, urban community. We examined whether using the tracker (Fitbit ZipTM) was associated with improvements in functioning and activity. DESIGN: Randomized controlled pilot and feasibility trial. SUBJECTS: Fifty-one African American adults in Detroit, Michigan, aged 60 to 85 years, with chronic musculoskeletal pain (28 in the intervention group, 23 controls). METHODS: Participants completed telephone surveys at baseline and eight weeks. Intervention participants wore trackers for six weeks, alternately reporting daily step counts via text messages, automated telephone calls, and syncing (two weeks each). We used multimethods to assess satisfaction with trackers and reporting modalities. Adherence was indicated by the proportion of expected days on which valid step counts were reported. We assessed changes in pain interference, physical function, social participation, walking frequency, and walking duration. RESULTS: More than 90% of participants rated trackers as easy to use, but some had technical or dexterity-related difficulties. Text reporting yielded 79% reporting adherence vs 69% each for automated calls and syncing. Intervention participants did not show greater improvement in functioning or walking than controls. CONCLUSIONS: With appropriate support, wearable activity trackers and mHealth reporting for chronic pain self-care are feasible for use by vulnerable older adults. Future research should test whether the effects of trackers on pain-related outcomes can be enhanced by incorporating behavior change strategies and training in evidence-based cognitive-behavioral techniques.

Co-Operative Pain Education and Self-management (COPES) Expanding Treatment for Real-World Access (ExTRA): Pragmatic Trial Protocol.

BACKGROUND: Given access barriers to cognitive behavioral therapy for chronic pain (CBT-CP), this pragmatic superiority trial will determine whether a remotely delivered CBT-CP intervention that addresses these barriers outperforms in-person and other synchronous forms of CBT-CP for veterans with musculoskeletal pain. DESIGN: This pragmatic trial compares an asynchronous form of CBT-CP that uses interactive voice response (IVR) to allow patients to participate from their home (IVR CBT-CP) with synchronous CBT-CP delivered by a Department of Veterans Affairs (VA) clinician. Veterans (n=764; 50% male) with chronic musculoskeletal pain throughout nine VA medical centers will participate. The primary outcome is pain interference after treatment (4 months). Secondary outcomes, including pain intensity, depression symptom severity, sleep, self-efficacy, and global impression of change, are also measured after treatment. Where possible, outcomes are collected via electronic health record extraction, with remaining measures collected via IVR calls to maintain blinding. Quantitative and qualitative process evaluation metrics will be collected to evaluate factors related to implementation. A budget impact analysis will be performed. SUMMARY: This pragmatic trial compares the outcomes, cost, and implementation of two forms of CBT-CP as delivered in the real-world setting. Findings from the trial can be used to guide future policy and implementation efforts related to these interventions and their use in the health system. If one of the interventions emerges as superior, resources can be directed to this modality. If both treatments are effective, patient preferences and health care system factors will take precedence when making referrals. Implications of COVID-19 on treatment provision and trial outcomes are discussed.

Out-of-home informal support important for medication adherence, diabetes distress, hemoglobin A1c among adults with type 2 diabetes.

Adults with type 2 diabetes mellitus (T2DM) often receive self-management support from adult children, siblings or close friends residing outside of their home. However, the role of out-of-home support in patients' self-management and well-being is unclear. Patients (N = 313) with HbA1c > 7.5% were recruited from community primary care clinics for a mobile health intervention trial and identified an out-of-home informal support person, herein called a CarePartner; 38% also had an in-home supporter. We tested cross-sectional adjusted associations between CarePartner relationship characteristics and patients' self-management, diabetes distress, and HbA1c and whether having an in-home supporter modified these associations. Greater CarePartner closeness was associated with a greater odds of perfect medication adherence (AOR = 1.19, p = .029), more fruit/vegetable intake (ß = 0.14, p = .018), and lower diabetes distress (ß = - 0.14, p = .012). More frequent CarePartner contact was associated with better HbA1c among patients with an in-home supporter but with worse HbA1c among patients without an in-home supporter (interaction ß = - 0.45, p = .005). Emotional closeness with a CarePartner may be important for supporting T2DM self-management and reducing diabetes distress. CarePartners may appropriately engage more frequently when patients with no in-home supporter have poorly controlled diabetes.

Relationship and communication characteristics associated with agreement between heart failure patients and their Carepartners on patient depressive symptoms.

Objectives: Informal caregivers who recognize patients' depressive symptoms can better support self-care and encourage patients to seek treatment. We examined patient-caregiver agreement among patients with heart failure (HF). Our objectives were to (1) identify distinct groups of HF patients and their out-of-home informal caregivers (CarePartners) based on their relationship and communication characteristics, and (2) compare how these groups agree on the patients' depressive symptoms. Method: We used baseline data from a comparative effectiveness trial of a self-care support program for veterans with HF treated in outpatient clinics from 2009-2012. We used a cross-sectional design and latent class analysis (LCA) approach to identify distinct groups of patient-CarePartner dyads (n = 201) based on relationship and communication characteristics then evaluated agreement on patients' depressive symptoms within these groups. Results: The LCA analysis identified four groups: Collaborative (n = 102 dyads, 51%), Avoidant (n = 33 dyads, 16%), Distant (n = 35 dyads, 17%), and Antagonistic (n = 31 dyads, 15%). Dyadic agreement on the patients' depressive symptoms was highest in the Distant (Kappa (κ) = 0.44, r = 0.39) and Collaborative groups (κ = 0.19, r = 0.32), and relatively poor in the Avoidant (κ = -0.20, r = 0.17) and Antagonistic (κ =-0.01, r = 0.004) groups. Patients in Avoidant (61%) and Antagonistic groups (74%) more frequently had depression based on self-report than patients in Collaborative (46%) and Distant (34%) groups. Conclusion: Caregiver relationships in HF tend to be either Collaborative, Avoidant, Distant, or Antagonistic. Patients' depressive symptoms may negatively affect how they communicate with their caregivers. At the same time, improved patient-caregiver communication could enhance dyadic consensus about the patient's depressive symptoms.

Comparing the Barriers and Facilitators of Heart Failure Management as Perceived by Patients, Caregivers, and Clinical Providers.

BACKGROUND: Heart failure (HF) management requires the participation of patients, their significant others, and clinical providers. Each group may face barriers to HF management that may be unique or may overlap. OBJECTIVE: The aim of this study was to compare the barriers and facilitators of HF management as perceived by patients, significant others, and clinical providers. METHODS: Participants were recruited from a Veterans Health Administration facility. Eligible patients had a diagnosis of HF (ICD9 code 428.XX), 1 or more HF-related visit in the previous year, and a significant other who was their primary caregiver. Significant others were adults with no history of cognitive impairments caring for patients with HF. Providers were eligible if they cared for patients with HF. All participants completed semistructured interviews designed to elicit barriers to managing HF and strategies that they used to overcome these barriers. Interviews were transcribed and analyzed using latent thematic analysis, and recruitment continued until thematic saturation was attained. RESULTS: A total of 17 couples and 12 providers were recruited. All 3 groups identified poor communication as a key barrier to HF management, including communication between patients and their significant other, between couples and providers, and providers with each other. Significant others noted that the lack of direct communication with clinical providers hindered their efforts to care for the patient. All 3 groups emphasized the importance of family members in optimizing adherence to HF self-management recommendations. CONCLUSIONS: Providers, patients, and significant others all play important and distinct roles in the management of HF. Tools to enhance communication and collaboration for all 3 and supporting the needs of significant others are missing components of current HF care.

Implementation and barriers to uptake of interactive voice response technology aimed to improve blood pressure control at a large academic medical center.

OBJECTIVES: Blood pressure control among patients with hypertension is a widely recognized quality metric, but many large health systems fail to reach targets set by the Healthcare Effectiveness Data and Information Set. We developed an interactive voice response (IVR) system called the "Mobile You Blood Pressure Program" at a large academic medical center and linked it to the health system's electronic health record (EHR). The goal of the program was to capture home blood pressure readings in the EHR and to alert ambulatory care clinical pharmacists automatically of readings below or above clinical thresholds through direct messaging in the EHR. The goal of this report is to describe implementation of IVR, initial patient participation rates, and pharmacist-identified barriers to patient enrollment. SETTING: Ambulatory care clinical pharmacist specialists' practice in 14 clinics in family medicine and internal medicine at Michigan Medicine, an academic health system serving more than 24,000 patients with a diagnosis of hypertension. PRACTICE DESCRIPTION: This study describes implementation and initial patient enrollment in IVR linked to the EHR for home blood pressure monitoring. EVALUATION: We tracked the number of hypertensive patients enrolled and IVR call completion rates between September 2017 and February 2018. We also assessed pharmacist-identified barriers to patient enrollment during 2 separate 2-week intervals in January and February 2018. RESULTS: Between September 1, 2017, and February 28, 2018, a total of 71 patients were enrolled from 14 clinics. Patients were scheduled for 1-3 IVR calls per week focusing on medication adherence and blood pressure control. A total of 936 IVR phone calls were made, with 488 (52%) calls completed. Access to a validated home blood pressure monitor was the largest pharmacist-identified barrier to patient enrollment. CONCLUSIONS: The IVR Mobile You Blood Pressure Program represents a new application of digital technology within our health system. Pharmacist-identified barriers to patient participation included access to a validated home blood pressure monitor.

Feasibility study of automated interactive voice response telephone calls with community health nurse follow-up to improve glycaemic control in patients with type 2 diabetes.

BACKGROUND: Thailand has a shortage of community health nurses for supporting the self-management of type 2 diabetes, which is prevalent and poorly controlled. AIM: This study examined the feasibility and acceptability of a self-care assistance programme for poorly controlled type 2 diabetes mellitus. The SukapapNet programme consisted of automated interactive voice response calls to patients and automated follow-up email notifications to their nurses. DESIGN: Single-arm pre-post trial. METHODS: Six nurses and 35 type 2 diabetes patients were recruited from primary care settings in suburban provinces in Thailand. The study was conducted from June 2017 to November 2017. We assessed patients before and after 12 weeks of the SukapapNet intervention. RESULTS: Mean glycated haemoglobin decreased by 0.9%. Patients reported reduced carbohydrate consumption, increased physical activity, increased medication adherence, improved sleep quality, and more frequent foot care. Patients and nurses both recommended using the intervention, although nurses expressed concerns regarding increased workload. CONCLUSIONS: The study programme could improve outcomes in Thai type 2 diabetes patients. Further study of the impact of technology upon nurses' workload is warranted.

Developing a typology of patient-generated behavioral goals for cognitive behavioral therapy for chronic pain (CBT-CP): classification and predicting outcomes.

Patient-generated treatment goals describe what patients value, yet the content of these goals, and the relationship among goal types, goal accomplishment, and treatment outcomes has received little examination. We used inductive sorting to categorize patient-generated goals made by 147 adults receiving cognitive-behavioral therapy for chronic pain. The resulting goal categories were: Physical Activity (29.0%), Functional Status (24.6%), Wellness (16.3%), Recreational Activities (11.3%), House/Yard Work (9.7%), Socializing (7.1%), and Work/School (2.0%). Next, we examined associations between number of goals by category, goal accomplishment, and clinically meaningful improvements in pain-related interference, pain intensity and depressive symptoms. Improvement in all outcome domains was related to goal accomplishment. Additionally, depressive symptoms were related to number of Physical Activity, House/Yard Work, Recreational Activities, and Wellness goals, whereas improved pain-intensity was significantly related to House/Yard Work. Classifying patient-generated goals facilitates investigation of the relationships among goal type, goal accomplishment and treatment outcomes.