The Michigan Collaborative for Type 2 Diabetes (MCT2D): Development and implementation of a statewide collaborative quality initiative.

BACKGROUND: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases worldwide and a leading cause of cardiorenal disease and mortality. Only one-third of individuals with T2D receive care as recommended by the American Diabetes Association's clinical practice guidelines. Effective strategies are needed to accelerate the implementation of guideline concordant T2D care. METHODS: The Michigan Collaborative for Type 2 Diabetes (MCT2D) is a statewide population health collaborative quality initiative (CQI) developed to improve the care of all people with T2D in Michigan. MCT2D has developed a learning health system with physician organizations and their constituent practices to support quality improvement initiatives focused on (1) improving use of guideline-directed pharmacotherapy to improve cardiorenal outcomes, (2) increasing evidence-based use of continuous glucose monitoring, and (3) supporting use of lower carbohydrate eating patterns. RESULTS: Between 2021 and 2022, MCT2D recruited 28 of the 40 Michigan-based physician organizations participating in Blue Cross' Physician Group Incentive Program with 336 constituent practices and 1357 physicians in primary care (304), endocrinology (21) and nephrology (11). In January 2022, baseline data included a sample of 96,140 unique individuals with T2D. The baseline HbA1c was ≤ 7.0% for 66.3% of patients (n = 32,787), while 14.9% of patients had a most recent HbA1c ≥ 8.0% (n = 7,393). The most recent body mass index (BMI) was ≥ 30.0 for 64.8% of patients (n = 38,516). DISCUSSION: MCT2D has organized a statewide collaborative to recruit and engage a diverse and large set of physician organizations and their constituent practices. This is a promising opportunity to accelerate adoption of guideline-concordant care for people with T2D and may be a model for other state or regional collaboratives. Future directions include specific evidence-based interventions targeted at reducing diabetes-linked comorbidities and associated healthcare costs as well as strategies focused on T2D prevention among at-risk populations.

Computerized Suicide Prevention Clinical Training Simulations: A Pilot Study.

Purpose: Mental health providers are well-positioned to engage in suicide prevention efforts, yet implementation depends on skill acquisition and providers often report feeling underprepared. This pilot study explored the acceptability, feasibility, and preliminary effectiveness of three suicide prevention-focused simulations with virtual clients. Method: Students (n=22) were recruited from a MSW program, completed pre- and post-test surveys, and engaged with three simulated trainings: 1) suicide risk assessment, 2) safety planning, and 3) motivating a client to treatment. Results: Simulations were reported to be acceptable and feasible, with strong student desire and need for greater suicide prevention training. We observed significant improvements over time in clinical skills via simulated training scores and perceptions of clinical preparedness. Discussion: Preliminary findings indicate simulated training with virtual clients is promising and suggest the three suicide prevention simulations may be useful, scalable, and effective in social work training programs and beyond.

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.

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.

Impact of using a broad-based multi-institutional approach to build capacity for non-communicable disease research in Thailand.

Thailand's transition to high middle-income country status has been accompanied by demographic changes and associated shifts in the nation's public health challenges. These changes have necessitated a significant shift in public health focus from the treatment of infectious diseases to the more expensive and protracted management of non-communicable diseases (NCDs) in older adults.In 2010, in response to this shift in focus, the University of Michigan and colleagues at the Praboromarajchanok Institute for Health Workforce Development in Thailand began work on a broad-based multi-institutional programme for NCD research capacity-building in Thailand.To begin to build a base of intervention research we paired our programme's funded Thai postdoctoral fellows with United States mentors who have strong programmes of intervention research. One direct impact of the programme was the development of research 'hubs' focused upon similar areas of investigative focus such as self-management of cancer symptoms, self-management of HIV/AIDS and health technology information applications for use in community settings. Within these hubs, interventions with proven efficacy in the United States were used as a foundation for culturally relevant interventions in Thailand. The programme also aimed to develop the research support structures necessary within departments and colleges for grant writing and management, dissemination of new knowledge, and ethical conduct of human subject research.In an effort to capitalise on large national health datasets and big data now available in Thailand, several of the programme's postdoctoral fellows began projects that use data science methods to mine this asset. The investigators involved in these ground-breaking projects form the core of a network of research hubs that will be able to capitalise on the availability of lifespan health data from across Thailand and provide a robust working foundation for expansion of research using data science approaches.Going forward, it is vitally important to leverage this groundwork in order to continue fostering rapid growth in NCD research and training as well as to capitalise upon these early gains to create a sustaining influence for Thailand to lead in NCD research, improve the health of its citizens, and provide ongoing leadership in Southeast Asia.

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.

Sleep and self-care correlates before and after implantation of a left-ventricular assist device (LVAD).

The impact of sleep on LVAD patients' self-care behaviors is unknown. This study examined the patterns and changes of patients sleep quality (SQ), daytime sleepiness (DS), instrumental activities of daily living (IADL), and self-care capability (SCC) before and after LVAD. In addition, the relationships among these variables were explored. This observational study consisted of 38 subjects from two VAD Centers in Michigan. The subjects completed self-reported demographics and psychometrically sound SQ, DS, IADL, and SCC questionnaires before LVAD implant and at 1, 3, and 6 months after implant. Data were analyzed using descriptive statistics, linear mixed models, and partial least square models. Subjects (mean age, 56.3 ± 10.3 years) were predominantly white (63%), male (68%), married (60%), and living with caregivers (92%). Over 70% had axial flow LVADs implanted as bridge-to-transplant (55%). Subjects' SQ was poor throughout the study period, along with high normal-to-excessive levels of DS. Problems with IADL before implant were significantly reduced at 1 through 6 months after implant. SCC ranged from "good" to "excellent" before and after implant. Significant relationships between SQ and IADL (ß = 0.43, p < 0.01) and DS and SCC (ß = - 0.62, p < 0.01) were found. In conclusion, poor SQ and high degrees of DS were prevalent before and up to 6 months after LVAD implant. The data inferred that the improvement in IADL was associated with an improvement in SQ. Research is needed to clarify the negative impact of DS on SCC and explain the contributions of caregivers on patients' SCC over time.

Development and validation of the 25-item Hikikomori Questionnaire (HQ-25).

AIM: Hikikomori, a form of severe social withdrawal, is an emerging issue in mental health, for which validated measurement tools are lacking. The object was to develop a self-report scale of hikikomori, and assess its psychometric properties and diagnostic accuracy. METHODS: A sample of 399 participants from clinical and community settings completed measures. Psychometric properties were assessed with factor analysis; diagnostic accuracy was compared against a semi-structured diagnostic interview. RESULTS: The Hikikomori Questionnaire contained 25 items across three subscales representing socialization, isolation, and emotional support. Internal consistency, test-retest reliability, and convergent validity were all satisfactory. The area under the curve was 0.86 (95% confidence interval, 0.80-0.92). A cut-off score of 42 (out of 100) was associated with a sensitivity of 94%, specificity of 61%, and positive predictive value of 17%. CONCLUSION: The 25-item Hikikomori Questionnaire (HQ-25) possesses robust psychometric properties and diagnostic accuracy in an initial sample of Japanese adults. Additional research on its psychometric properties and ability to support clinical assessment of hikikomori is warranted.

Integration of behavioral health and primary care: current knowledge and future directions.

Integrated behavioral health in primary care has spread rapidly over the past three decades, although significant questions remain unanswered regarding best practices in clinical, financial and operational worlds. Two key models have emerged over time: care management and Primary Care Behavioral Health. Research to date has been promising; however, there is a significant need for more sophisticated multi-level scientific methodologies to fill in the gaps in current knowledge of integrated primary care. In this paper, we summarize current scientific knowledge about integrated primary care and critically evaluate the strengths and weaknesses of this knowledge base, focusing on clinical, financial and operational factors. Finally, we recommended priorities for future research, dissemination, real-world implementation, and health policy implications.

Seeing the Person, Not the Illness: Promoting Diabetes Medication Adherence Through Patient-Centered Collaboration.

IN BRIEF Nonadherence to diabetes medications is a primary contributor to health complications and avoidable hospitalizations. This article discusses the evidence for taking a person-centered (as opposed to illness-centered) approach to promoting medication adherence among diabetes patients, provides suggestions for ways in which diabetes clinicians can best promote medication adherence, and argues for needed changes in how health care systems support providers in their efforts at adherence promotion.

Screening for depression in Andean Latin America: Factor structure and reliability of the CES-D short form and the PHQ-8 among Bolivian public hospital patients.

Objective We assessed the validity and reliability of the Center for Epidemiologic Studies-Depression scale (CES-D) short form and the Patient Health Questionnaire-8 (PHQ-8) (two measures of depressive symptoms) among urban, low-income patients from a heavily indigenous area of Andean Latin America. This is a patient population that is in many ways culturally distinct from the populations that have been included in previous Spanish language validation studies of these instruments. Methods We administered the CES-D Yale version short form and the PHQ-8 to 107 outpatients at public hospitals in La Paz and El Alto, Bolivia. We conducted exploratory factor analysis, checked internal reliability, and examined concordance between the two measures in identifying patients with clinically significant depressive symptoms. Results Internal reliability was high for both scales: PHQ-8 (Cronbach's α = 0.808) and CES-D (α = 0.825). A one-factor solution for the PHQ-8 was maintained after the removal of one poorly loading item. The CES-D showed a two-factor solution, with items for somatic symptoms and interpersonal problems loading on the same factor as negative affect. Using both the cutoff for depression recommended in prior studies and a sample specific cutoff of ≥1 standard deviation above the mean, the two scales demonstrated only moderate agreement (κ = 0.481-0.486). Conclusions The PHQ may be more appropriate for clinical use in the Andean region, given its greater specificity; however, lower than expected agreement between the scales suggests that they also measure different elements of depression. Irregularities with the factor structure of both scales suggest that further research with this population is needed to better understand depressive symptomology and improve screening in the region.

Structured Caregiver Feedback Enhances Engagement and Impact of Mobile Health Support: A Randomized Trial in a Lower-Middle-Income Country.

BACKGROUND: Patients' engagement in mobile health (m-health) interventions using interactive voice response (IVR) calls is less in low- and middle-income countries (LMICs) than in industrialized ones. We conducted a study to determine whether automated telephone feedback to informal caregivers ("CarePartners") increased engagement in m-health support among diabetes and hypertension patients in Bolivia. MATERIALS AND METHODS: Patients with diabetes and/or hypertension were identified through ambulatory clinics affiliated with four hospitals. All patients enrolled with a CarePartner. Patients were randomized to weekly IVR calls including self-management questions and self-care education either alone ("standard m-health") or with automated feedback about health and self-care needs sent to their CarePartner after each IVR call ("m-health+CP"). RESULTS: The 72 participants included 39 with diabetes and 53 with hypertension, of whom 19 had ≤6 years of education. After 1,225 patient-weeks of attempted IVR assessments, the call completion rate was higher among patients randomized to m-health+CP compared with standard m-health (62.0% versus 44.9%; p < 0.047). CarePartner feedback more than tripled call completion rates among indigenous patients and patients with low literacy (p < 0.001 for both). M-health+CP patients were more likely to report excellent health via IVR (adjusted odds ratio [AOR] = 2.60; 95% confidence interval [CI], 1.07, 6.32) and less likely to report days in bed due to illness (AOR = 0.42; 95% CI, 0.19, 0.91). CONCLUSIONS: In this study we found that caregiver feedback increased engagement in m-health and may improve patients' health status relative to standard approaches. M-health+CP represents a scalable strategy for increasing the reach of self-management support in LMICs.

A randomized trial of mobile health support for heart failure patients and their informal caregivers: impacts on caregiver-reported outcomes.

BACKGROUND: Mobile health services may improve chronic illness care, but interventions rarely support informal caregivers' efforts. OBJECTIVES: To determine whether automated feedback to caregivers of chronic heart failure patients impacts caregiving burden and assistance with self-management. RESEARCH DESIGN: Randomized comparative effectiveness trial. SUBJECTS: A total of 369 heart failure patients were recruited from a Veterans Health Administration health care system. All patients participated with a "CarePartner" or informal caregiver outside their household. INTERVENTION: Patients randomized to "standard mHealth" received weekly automated self-care support calls for 12 months with notifications about problems sent to clinicians. "mobile health+CarePartner" (mHealth+CP) patients received identical services, plus email summaries and suggestions for self-care assistance automatically sent to their CarePartners. MEASURES: At baseline, 6, and 12 months, CarePartners completed assessments of caregiving strain, depressive symptoms, and participation in self-care support. RESULTS: mHealth+CP CarePartners reported less caregiving strain than controls at both 6 and 12 months (both P≤0.03). That effect as well as improvements in depressive symptoms were seen primarily among CarePartners reporting greater burden at baseline (P≤0.03 for interactions between arm and baseline strain/depression at both endpoints). Although most mHealth+CP CarePartners increased the amount of time spent in self-care support, those with the highest time commitment at baseline reported decreases at both follow-ups (all P<0.05). mHealth+CP CarePartners reported more frequently attending patients' medical visits at 6 months (P=0.049) and greater involvement in medication adherence at both endpoints (both P≤0.032). CONCLUSIONS: When CarePartners experienced significant caregiving strain and depression, systematic feedback about their patient-partner decreased those symptoms. Feedback also increased most CarePartners' engagement in self-care.

Integrating support persons into diabetes telemonitoring to improve self-management and medication adherence.

OBJECTIVE: The purpose of this study was to investigate the potential benefits for medication adherence of integrating a patient-selected support person into an automated diabetes telemonitoring and self-management program, and to determine whether these benefits vary by patients' baseline level of psychological distress. STUDY DESIGN: The study was a quasi-experimental patient preference trial. METHODS: The study included patients with type 2 diabetes who participated in three to six months of weekly automated telemonitoring via interactive voice response (IVR) calls, with the option of designating a supportive relative or friend to receive automated updates on the patient's health and self-management, along with guidance regarding potential patient assistance. We measured long-term medication adherence using the four-point Morisky Medication Adherence Scale (MMAS-4, possible range 0-4), weekly adherence with an IVR item, and psychological distress at baseline with the Mental Composite Summary (MCS) of the SF-12. RESULTS: Of 98 initially nonadherent patients, 42% opted to involve a support person. Participants with a support person demonstrated significantly greater improvement in long-term adherence than those who participated alone (linear regression slopes: -1.17 vs. -0.57, respectively, p =0.001). Among distressed patients in particular, the odds of weekly nonadherence tended to decrease 25% per week for those with a support person (p =0.030), yet remained high for those who participated alone (p =0.820). CONCLUSIONS: Despite their multiple challenges in illness self-management, patients with diabetes who are both nonadherent and psychologically distressed may benefit by the incorporation of a support person when they receive assistance via automated telemonitoring.

Potential Impact of Incorporating a Patient-Selected Support Person into mHealth for Depression.

BACKGROUND: Although telephone care management improves depression outcomes, its implementation as a standalone strategy is often not feasible in resource-constrained settings. Moreover, little research has examined the potential role of self-management support from patients' trusted confidants. OBJECTIVE: To investigate the potential benefits of integrating a patient-selected support person into automated mobile health (mHealth) for depression. DESIGN: Patient preference trial. PARTICIPANTS: Depressed primary care patients who were at risk for antidepressant nonadherence (i.e., Morisky Medication Adherence Scale total score > 1). INTERVENTION: Patients received weekly interactive voice response (IVR) telephone calls for depression that included self-management guidance. They could opt to designate a lay support person from outside their home to receive guidance on supporting their self-management. Patients' clinicians were automatically notified of urgent patient issues. MAIN MEASURES: Each week over a period of 6 months, we used IVR calls to monitor depression with the Patient Health Questionnaire-9 (PHQ-9; with total < 5 classified as remission), adherence (single item reflecting perfect adherence over the past week), and functional impairment (any bed days due to mental health). KEY RESULTS: Of 221 at-risk patients, 61% participated with a support person. Analyses were adjusted for race, medical comorbidity, and baseline levels of symptom severity and adherence. Significant interaction effects indicated that during the initial phase of the program, only patients who participated with a support person improved significantly in their likelihood of either adhering to antidepressant medication (AOR = 1.31, 95% CI: 1.16-1.47, p < 0.001) or achieving remission of depression symptoms (AOR = 1.24, 95% CI: 1.14-1.34, p < 0.001). These benefits were maintained throughout the 6-month observation period. CONCLUSIONS: Incorporating the "human factor" of a patient-selected support person into automated mHealth for depression self-management may yield sustained improvements in antidepressant adherence and depression symptom remission. However, this needs to be confirmed in a subsequent randomized controlled trial.

A Mobile Health Intervention Supporting Heart Failure Patients and Their Informal Caregivers: A Randomized Comparative Effectiveness Trial.

BACKGROUND: Mobile health (mHealth) interventions may improve heart failure (HF) self-care, but standard models do not address informal caregivers' needs for information about the patient's status or how the caregiver can help. OBJECTIVE: We evaluated mHealth support for caregivers of HF patients over and above the impact of a standard mHealth approach. METHODS: We identified 331 HF patients from Department of Veterans Affairs outpatient clinics. All patients identified a "CarePartner" outside their household. Patients randomized to "standard mHealth" (n=165) received 12 months of weekly interactive voice response (IVR) calls including questions about their health and self-management. Based on patients' responses, they received tailored self-management advice, and their clinical team received structured fax alerts regarding serious health concerns. Patients randomized to "mHealth+CP" (n=166) received an identical intervention, but with automated emails sent to their CarePartner after each IVR call, including feedback about the patient's status and suggestions for how the CarePartner could support disease care. Self-care and symptoms were measured via 6- and 12-month telephone surveys with a research associate. Self-care and symptom data also were collected through the weekly IVR assessments. RESULTS: Participants were on average 67.8 years of age, 99% were male (329/331), 77% where white (255/331), and 59% were married (195/331). During 15,709 call-weeks of attempted IVR assessments, patients completed 90% of their calls with no difference in completion rates between arms. At both endpoints, composite quality of life scores were similar across arms. However, more mHealth+CP patients reported taking medications as prescribed at 6 months (8.8% more, 95% CI 1.2-16.5, P=.02) and 12 months (13.8% more, CI 3.7-23.8, P<.01), and 10.2% more mHealth+CP patients reported talking with their CarePartner at least twice per week at the 6-month follow-up (P=.048). mHealth+CP patients were less likely to report negative emotions during those interactions at both endpoints (both P<.05), were consistently more likely to report taking medications as prescribed during weekly IVR assessments, and also were less likely to report breathing problems or weight gains (all P<.05). Among patients with more depressive symptoms at enrollment, those randomized to mHealth+CP were more likely than standard mHealth patients to report excellent or very good general health during weekly IVR calls. CONCLUSIONS: Compared to a relatively intensive model of IVR monitoring, self-management assistance, and clinician alerts, a model including automated feedback to an informal caregiver outside the household improved HF patients' medication adherence and caregiver communication. mHealth+CP may also decrease patients' risk of HF exacerbations related to shortness of breath and sudden weight gains. mHealth+CP may improve quality of life among patients with greater depressive symptoms. Weekly health and self-care monitoring via mHealth tools may identify intervention effects in mHealth trials that go undetected using typical, infrequent retrospective surveys. TRIAL REGISTRATION: ClinicalTrials.gov NCT00555360; https://clinicaltrials.gov/ct2/show/NCT00555360 (Archived by WebCite at http://www.webcitation.org/6Z4Tsk78B).

Rethinking the frequency of between-visit monitoring for patients with diabetes.

BACKGROUND: Health systems increasingly look to mobile health tools to monitor patients cost-effectively between visits. The frequency of assessment services such as interactive voice response (IVR) calls is typically arbitrary, and no approaches have been proposed to tailor assessment schedules based on evidence regarding which measures actually provide new information about patients' status. METHODS: We analyzed longitudinal data from over 5000 weekly IVR monitoring calls to 298 diabetes patients using logistic models to determine the predictability of IVR-reported physiological results, perceived health indicators, and self-care behaviors. We also determined the implications for assessment burden and problem detection of omitting assessment items that had no more than a 5% predicted probability of a problem report. RESULTS: Assuming weekly IVR assessments, episodes of hyperglycemia were difficult to predict [area under the curve (AUC)=69.7; 95% confidence interval (CI), 50.2-89.2] based on patients' prior assessment responses. Hypoglycemic symptoms and fair/poor perceived health were more predictable, and self-care behaviors such as problems with medication adherence (AUC=92.1; 95% CI, 89.6-94.6) and foot care (AUC=98.4; 95% CI, 97.0-99.8) were highly predictable. Even if patients were only asked about foot inspection behavior when they had >5% chance of a problem report, 94% of foot inspection assessments could be omitted while still identifying 91% of reported problems. CONCLUSIONS: Mobile health monitoring systems could be made more efficient by taking patients' reporting history into account. Avoiding redundant information requests could make services more patient centered and might increase engagement. Time saved by decreasing redundancy could be better spent educating patients or assessing other clinical problems.

Nutrition counsellors' recommended eating patterns for individuals with type 2 diabetes in the USA.

Introduction: Multiple eating patterns can promote glycaemic control and weight loss among patients with type 2 diabetes mellitus (T2D). Clinical practice guidelines for T2D management encourage health professionals to guide patients' selection of a patient-centred eating pattern. This study aims to characterise beliefs about and recommendations for and against practice guideline-concordant eating patterns among registered dietitians (RDs) and other healthcare professionals who provide nutrition counselling to patients with T2D. Methods: This was a cross-sectional online survey. We invited 82 RDs affiliated with an academic health system in the midwestern USA to participate. We also invited health professionals who provide nutrition counselling to patients with T2D and are affiliated with 264 primary care practices within the Michigan Collaborative for Type 2 Diabetes. Participants were asked to select the eating pattern(s) that they commonly recommend or avoid for patients with T2D and why. Results: Survey respondents (n=81) most commonly recommend low-carbohydrate (77.8%); Mediterranean-style (52.8%) and energy-modified/calorie-restricted (36.1%) eating patterns. Survey respondents most commonly recommend avoiding very low-carbohydrate (51.0%) and very low-calorie (49.0%) eating patterns. Respondents who did not recommend very low-carbohydrate were most concerned about the eating pattern being too restrictive (93.0%). Conclusions: Survey respondents recommend a range of guideline-adherent eating patterns to patients with T2D but tend to recommend against very low-carbohydrate and very low-calorie eating patterns. Additional strategies are needed to increase patient-centred use of these evidence-based options in clinical practice settings.