Interactive behavior change technology to support diabetes self-management: where do we stand?

Online Educational Resources for Youth Living With Type 1 Diabetes Transitioning to Adult Care: An Environmental Scan of Canadian Content

OBJECTIVES

There are many educational resources for adolescents and young adults living with type 1 diabetes; however, it is unknown whether they address the breadth of topics related to transition to adult care. Our aim in this study was to collect educational resources relevant to Canadian youth and assess their quality and comprehensiveness in addressing the knowledge necessary for youth to prepare for interdependent management of their diabetes.

METHODS

We conducted an environmental scan, a systematic assessment and analysis, of online education resources in English and French relevant to Canadian youth living with type 1 diabetes. Resources were screened using an open education resource evaluation grid and relevant resources were mapped to the Readiness for Emerging Adults with Diabetes Diagnosed in Youth, a validated diabetes transition readiness assessment tool.

RESULTS

From 44 different sources, 1,245 resources were identified and, of these, 760 were retained for analysis. The majority were webpages (50.1%) and downloadable PDFs (42.4%), and 12.1% were interactive. Most resources covered Diabetes Knowledge (46.0%), Health Behaviour (23.8%), Insulin and Insulin Pump Management (11.8% and 8.6%, respectively), and Health-care System Navigation (9.7%). Topic areas with the fewest resources were disability accommodations (n=5), sexual health/function (n=4), and locating trustworthy diabetes resources (n=3).

CONCLUSIONS

There are many resources available for those living with type 1 diabetes preparing to transition to adult care, with the majority pertaining to diabetes knowledge and the least for navigation of the health system. Few resources were available on the topics of substance use, sexual health, and reproductive health. An interactive presentation of these resources, as well as a central repository to house these resources, would improve access for youth and diabetes care providers during transition preparation.

The Clinical Impact of Flash Glucose Monitoring-a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review

BACKGROUND

Type 2 diabetes has a growing prevalence and confers significant cost burden to the health care system, raising the urgent need for cost-effective and easily accessible solutions. The management of type 2 diabetes requires significant commitment from the patient, caregivers, and the treating team to optimize clinical outcomes and prevent complications. Technology and its implications for the management of type 2 diabetes is a nascent area of research. The impact of some of the more recent technological innovations in this space, such as continuous glucose monitoring, flash glucose monitoring, web-based applications, as well as smartphone- and smart watch-based interactive apps has received limited attention in the research literature.

OBJECTIVE

This scoping review aims to explore the literature available on type 2 diabetes, flash glucose monitoring, and digital health technology to improve diabetic clinical outcomes and inform future research in this area.

METHODS

A scoping review was undertaken by searching Ovid MEDLINE and CINAHL databases. A second search using all identified keywords and index terms was performed on Ovid MEDLINE (January 1966 to July 2021), EMBASE (January 1980 to July 2021), Cochrane Central Register of Controlled Trials (CENTRAL; the Cochrane Library, latest issue), CINAHL (from 1982), IEEE Xplore, ACM Digital Libraries, and Web of Science databases.

RESULTS

There were very few studies that have explored the use of mobile health and flash glucose monitoring in type 2 diabetes. These studies have explored somewhat disparate and limited areas of research, and there is a distinct lack of methodological rigor in this area of research. The 3 studies that met the inclusion criteria have addressed aspects of the proposed research question.

CONCLUSIONS

This scoping review has highlighted the lack of research in this area, raising the opportunity for further research in this area, focusing on the clinical impact and feasibility of the use of multiple technologies, including flash glucose monitoring in the management of patients with type 2 diabetes.

Factors Affecting Adoption of a Technology-Based Tool for Diabetes Self-Management Education and Support Among Adult Patients with Type 2 Diabetes in South Texas

PURPOSE

The purpose of this study is to describe a novel computerized diabetes education tool and explore factors influencing self-selection and use among primarily Hispanic patients diagnosed with type 2 diabetes in south Texas.

METHODS

Study participants included 953 adult patients with type 2 diabetes enrolled in a diabetes education program between July 1, 2016, and June 30, 2017. Participants were asked to choose either a new technology-based diabetes education tool with a touch-screen device or a traditional face-to-face education method. Multivariate logistic regression analysis was applied to identify factors associated with adopting the computerized diabetes education tool among the patients.

RESULTS

When comparing technology-based tool adopters and nonadopters, several demographic and health-related factors differentiated technology use in bivariate analyses. The multivariate logistic regression model showed that Hispanic patients were less likely to choose a technology-based tool. Patients who perceived their health status as excellent/good were more likely to adopt the technologic education method than those with fair/poor perceived health status. A1C level was negatively associated with self-selection of technology.

CONCLUSIONS

Specific demographic and health-related characteristics are significant contributing factors to patients' adoption of a technology-based diabetes education tool. Health care providers can utilize these findings to target and refer specific patients to a computerized diabetes education tool for more effective diabetes care and to optimize technology adoption success.

Dietary management practices for type 1 diabetes mellitus by dietitians in KwaZulu-Natal

Background

In South Africa, 5% – 15% of diabetics have type 1 diabetes mellitus (T1DM). Dietitians are an important part of the diabetes management team; however, there is a lack of published data on the dietary management practices for T1DM by dietitians.

Aim

The aim of this study was to determine the dietary management practices for T1DM by dietitians in KwaZulu-Natal (KZN).

Setting

This study was conducted in KZN.

Methods

A cross-sectional, descriptive study was conducted using a self-administered electronic questionnaire.

Results

Of the 69 dietitians who participated, 58% (n = 40) used the American Diabetes Association (ADA) guidelines to manage T1DM; just under 35% (n = 24) spent over an hour with new cases; and 87% (n = 60) used face-to-face consultations for follow-up. Dietitians used the glycaemic index, portion control using the healthy eating plate, carbohydrate counting using nutritional labels and household measures and carbohydrate awareness to manage T1DM (p < 0.05). Dietitians also used the healthy eating plate (71%; n = 49) (p < 0.05) and household measures (73.9%; n = 51) (p < 0.05) to manage T1DM. Time constraints, the literacy level of the patient, available resources and language barriers all played a role in determining the dietary management practices used (p < 0.05).

Conclusion

Most dietitians in KZN used the ADA dietary guidelines to manage T1DM, which highlights the need for South African dietary guidelines for the management of T1DM. Dietitians used a variety of different dietary methods to manage T1DM in practice. This suggests that dietitians are flexible in how they manage T1DM with no one particular method being used. A variety of factors also influenced which dietary management practices were chosen.

The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes

Non-adherence to self-management poses a serious risk to diabetes complications. Digital behavioural change interventions have the potential to provide education and motivate users to regularly engage with self-management of diabetes. This paper describes the development of My Care Hub mobile phone application (app) aimed at supporting self-management in people with type 1 or type 2 diabetes. The development of My Care Hub involved a comprehensive process of healthy behavioural change identification, end users’ needs, expert consensus, data security and privacy considerations. The app translation was a highly iterative process accompanied by usability testing and design modification. The app development process included: (1) behaviour change strategy selection; (2) users’ involvement; (3) expert advisory involvement; (4) data security and privacy considerations; (5) design creation and output translation into a smartphone app and (6) two usability testings of the app prototype version. The app features include self-management activities documentation, analytics, personalized and generalized messages for diabetes self-management as well as carbohydrate components of common foods in Australia. Twelve respondents provided feedback on the usability of the app. Initially, a simplification of the documentation features of the app was identified as a need to improve usability. Overall, results indicated good user satisfaction rate.

Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol

BACKGROUND

The incorporation of Behavioral Change Techniques (BCTs) in eHealth interventions for the management of non-communicable diseases (NCDs), such as type 2 diabetes mellitus (T2DM), might be a promising approach to improve clinical and behavioral outcomes of NCDs in the long run. This 3paper reports a protocol for a systematic review that aims to (a) identify the effects of individual BCTs in eHealth interventions for lowering glycated hemoglobin levels (HbA1c) and (b) investigate which additional intervention features (duration of intervention, tailoring, theory-base, and mode of delivery) affect levels of HbA1c in this population. The protocol follows the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) 2015 guideline.

METHODS/DESIGN

To identify eligible studies, an extensive systematic database search (PubMed, Web of Science, and PsycINFO) using keywords will be conducted. This review will include randomized controlled trials examining the effects of eHealth interventions on HbA1c in persons with poorly controlled T2DM over a minimum follow-up period of 3 months. Relevant data will be extracted from the included studies using Microsoft Excel. The content of the interventions will be extracted from the description of interventions and will be classified according to the BCT taxonomy v1 tool. The quality of studies will be independently assessed by two reviewers using the Cochrane risk of bias tool. If the studies have adequate homogeneity, meta-analysis will be considered. The effect sizes of each BCT will be calculated using the random effect model. The quality of the synthesized evidence will be evaluated employing the Grading of the Recommendations Assessment, Development and Evaluation (GRADE) criteria.

DISCUSSION

This systematic review is one of the firsts to appraise the effectiveness of eHealth interventions employing BCTs which aimed at improving glycemic control in persons with poorly controlled T2DM. The review will aggregate the effect sizes of BCTs on HbA1c levels. The results may inform future eHealth interventions targeting poorly controlled T2DM populations.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42016049940.

Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

Background

The behavior change technique taxonomy v1 (BCTTv1; Michie and colleagues, 2013) is a comprehensive tool to characterize active ingredients of interventions and includes 93 labels that are hierarchically clustered into 16 hierarchical clusters.

Objective

The aim of this study was to identify the active ingredients in electronic health (eHealth) interventions targeting patients with poorly controlled type 2 diabetes mellitus (T2DM) and relevant outcomes.

Methods

We conducted a scoping review using the BCTTv1. Randomized controlled trials (RCTs), studies with or pre-post-test designs, and quasi-experimental studies examining efficacy and effectiveness of eHealth interventions for disease management or the promotion of relevant health behaviors were identified by searching PubMed, Web of Science, and PsycINFO. Reviewers independently screened titles and abstracts for eligibility using predetermined eligibility criteria. Data were extracted following a data extraction sheet. The BCTTv1 was used to characterize active ingredients of the interventions reported in the included studies.

Results

Of the 1404 unique records screened, 32 studies fulfilled the inclusion criteria and reported results on the efficacy and or or effectiveness of interventions. Of the included 32 studies, 18 (56%) were Web-based interventions delivered via personal digital assistant (PDA), tablet, computer, and/or mobile phones; 7 (22%) were telehealth interventions delivered via landline; 6 (19%) made use of text messaging (short service message, SMS); and 1 employed videoconferencing (3%). Of the 16 hierarchical clusters of the BCTTv1, 11 were identified in interventions included in this review. Of the 93 individual behavior change techniques (BCTs), 31 were identified as active ingredients of the interventions. The most common BCTs identified were instruction on how to perform behavior, adding objects to the environment, information about health consequences, self-monitoring of the outcomes and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided of a certain behavior Author: Please note that the journal discourages the use of parenthesis to denote either and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided “and/or” and prefers to be explicit to avoid ambiguity. Response: Checked and avoided, and feedback on outcomes of behavior.

Conclusions

Our results suggest that the majority of BCTs employed in interventions targeting persons with T2DM revolve around the promotion of self-regulatory behavior to manage the disease or to assist patients in performing health behaviors necessary to prevent further complications of the disease. Detailed reporting of the BCTs included in interventions targeting this population may facilitate the replication and further investigation of such interventions.

Phone Messaging to Prompt Physical Activity and Social Support Among Low-Income Latino Patients With Type 2 Diabetes: A Randomized Pilot Study

BACKGROUND

Given disparities in diabetes prevalence, receipt of diabetes education, diabetes knowledge, and self-management behaviors among Latinos, there is a need to provide education and ongoing support to this population. Phone-based interventions have the potential to reach and engage both patients and their family members and friends.

OBJECTIVE

The aim of this study was to investigate the feasibility, perceived usefulness, and potential effectiveness of a short text or voice message (STVM) intervention to activate (1) physical activity (PA) behavior change among urban, low-income Latino adults with type 2 diabetes and (2) supportive behaviors by their family members and friends.

METHODS

A 12-week pilot study randomized 42 participants recruited in person from a safety-net ambulatory care clinic in Los Angeles into one of the 3 study arms: control, phone messaging (PM), and phone messaging plus social support from family members and friends (PM+FF). All participants were prompted to set PA goals and to self-monitor PA behavior using pedometers and walking logs. PM and PM+FF participants received STVMs with reminders to review goals and self-monitor, PA behavior change education, and feedback on performance. Participants in the PM+FF arm also had their family members and friends receiving STVMs with suggestions for how they could support the participant's PA behavior change efforts. Participants completed semistructured assessments in person at baseline, 6 weeks, and 12 weeks. Outcomes were PA (steps/day) and perceived social support from family members and friends.

RESULTS

Among PM and PM+FF participants, those who opted to receive text messages (short message service, SMS) responded to 62.7% (128/204) of SMS text messages requiring a response while those who opted to receive voice messages responded 30% (12/40) of the time. Participants perceived guidance in self-regulation as useful, particularly self-monitoring, goal setting, self-instruction, feedback, and social support. All participants increased PA at 6 weeks, but only the PM and PM+FF arms increased PA at 12 weeks. All study arms experienced an increase in perceived social support from family members and friends at 6 weeks, but only those in the PM+FF arm had an increase in the perception of social support at 12 weeks.

CONCLUSION

Designing an STVM intervention based on self-regulation techniques is feasible and perceived as useful by participants. The STVM intervention has the potential to improve PA in terms of daily steps and perceived social support from family members and friends.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02850770; https://clinicaltrials.gov/ct2/show/NCT02850770 (Archived by WebCite at http://www.webcitation.org/query?id=1495567756845570).

Interactive Voice Response-Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial

IMPORTANCE

Recommendations for chronic pain treatment emphasize multimodal approaches, including nonpharmacologic interventions to enhance self-management. Cognitive behavioral therapy (CBT) is an evidence-based treatment that facilitates management of chronic pain and improves outcomes, but access barriers persist. Cognitive behavioral therapy delivery assisted by health technology can obviate the need for in-person visits, but the effectiveness of this alternative to standard therapy is unknown. The Cooperative Pain Education and Self-management (COPES) trial was a randomized, noninferiority trial comparing IVR-CBT to in-person CBT for patients with chronic back pain.

OBJECTIVE

To assess the efficacy of interactive voice response-based CBT (IVR-CBT) relative to in-person CBT for chronic back pain.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a noninferiority randomized trial in 1 Department of Veterans Affairs (VA) health care system. A total of 125 patients with chronic back pain were equally allocated to IVR-CBT (n = 62) or in-person CBT (n = 63).

INTERVENTIONS

Patients treated with IVR-CBT received a self-help manual and weekly prerecorded therapist feedback based on their IVR-reported activity, coping skill practice, and pain outcomes. In-person CBT included weekly, individual CBT sessions with a therapist. Participants in both conditions received IVR monitoring of pain, sleep, activity levels, and pain coping skill practice during treatment.

MAIN OUTCOMES AND MEASURES

The primary outcome was change from baseline to 3 months in unblinded patient report of average pain intensity measured by the Numeric Rating Scale (NRS). Secondary outcomes included changes in pain-related interference, physical and emotional functioning, sleep quality, and quality of life at 3, 6, and 9 months. We also examined treatment retention.

RESULTS

Of the 125 patients (97 men, 28 women; mean [SD] age, 57.9 [11.6] years), the adjusted average reduction in NRS with IVR-CBT (-0.77) was similar to in-person CBT (-0.84), with the 95% CI for the difference between groups (-0.67 to 0.80) falling below the prespecified noninferiority margin of 1 indicating IVR-CBT is noninferior. Fifty-four patients randomized to IVR-CBT and 50 randomized to in-person CBT were included in the analysis of the primary outcome. Statistically significant improvements in physical functioning, sleep quality, and physical quality of life at 3 months relative to baseline occurred in both treatments, with no advantage for either treatment. Treatment dropout was lower in IVR-CBT with patients completing on average 2.3 (95% CI, 1.0-3.6) more sessions.

CONCLUSIONS AND RELEVANCE

IVR-CBT is a low-burden alternative that can increase access to CBT for chronic pain and shows promise as a nonpharmacologic treatment option for chronic pain, with outcomes that are not inferior to in-person CBT.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01025752.

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background

Diabetes Mellitus (DM) is a chronic disease that is considered a global public health problem. Education and self-monitoring by diabetic patients help to optimize and make possible a satisfactory metabolic control enabling improved management and reduced morbidity and mortality. The global growth in the use of mobile phones makes them a powerful platform to help provide tailored health, delivered conveniently to patients through health apps.

Objective

The aim of our study was to evaluate the efficacy of mobile apps through a systematic review and meta-analysis to assist DM patients in treatment.

Methods

We conducted searches in the electronic databases MEDLINE (Pubmed), Cochrane Register of Controlled Trials (CENTRAL), and LILACS (Latin American and Caribbean Health Sciences Literature), including manual search in references of publications that included systematic reviews, specialized journals, and gray literature. We considered eligible randomized controlled trials (RCTs) conducted after 2008 with participants of all ages, patients with DM, and users of apps to help manage the disease. The meta-analysis of glycated hemoglobin (HbA1c) was performed in Review Manager software version 5.3.

Results

The literature search identified 1236 publications. Of these, 13 studies were included that evaluated 1263 patients. In 6 RCTs, there were a statistical significant reduction (P<.05) of HbA1c at the end of studies in the intervention group. The HbA1c data were evaluated by meta-analysis with the following results (mean difference, MD −0.44; CI: −0.59 to −0.29; P<.001; I²=32%).The evaluation favored the treatment in patients who used apps without significant heterogeneity.

Conclusions

The use of apps by diabetic patients could help improve the control of HbA1c. In addition, the apps seem to strengthen the perception of self-care by contributing better information and health education to patients. Patients also become more self-confident to deal with their diabetes, mainly by reducing their fear of not knowing how to deal with potential hypoglycemic episodes that may occur.

Automated telephone communication systems for preventive healthcare and management of long-term conditions

BACKGROUND

Automated telephone communication systems (ATCS) can deliver voice messages and collect health-related information from patients using either their telephone's touch-tone keypad or voice recognition software. ATCS can supplement or replace telephone contact between health professionals and patients. There are four different types of ATCS: unidirectional (one-way, non-interactive voice communication), interactive voice response (IVR) systems, ATCS with additional functions such as access to an expert to request advice (ATCS Plus) and multimodal ATCS, where the calls are delivered as part of a multicomponent intervention.

OBJECTIVES

To assess the effects of ATCS for preventing disease and managing long-term conditions on behavioural change, clinical, process, cognitive, patient-centred and adverse outcomes.

SEARCH METHODS

We searched 10 electronic databases (the Cochrane Central Register of Controlled Trials; MEDLINE; Embase; PsycINFO; CINAHL; Global Health; WHOLIS; LILACS; Web of Science; and ASSIA); three grey literature sources (Dissertation Abstracts, Index to Theses, Australasian Digital Theses); and two trial registries (www.controlled-trials.com; www.clinicaltrials.gov) for papers published between 1980 and June 2015.

SELECTION CRITERIA

Randomised, cluster- and quasi-randomised trials, interrupted time series and controlled before-and-after studies comparing ATCS interventions, with any control or another ATCS type were eligible for inclusion. Studies in all settings, for all consumers/carers, in any preventive healthcare or long term condition management role were eligible.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods to select and extract data and to appraise eligible studies.

MAIN RESULTS

We included 132 trials (N = 4,669,689). Studies spanned across several clinical areas, assessing many comparisons based on evaluation of different ATCS types and variable comparison groups. Forty-one studies evaluated ATCS for delivering preventive healthcare, 84 for managing long-term conditions, and seven studies for appointment reminders. We downgraded our certainty in the evidence primarily because of the risk of bias for many outcomes. We judged the risk of bias arising from allocation processes to be low for just over half the studies and unclear for the remainder. We considered most studies to be at unclear risk of performance or detection bias due to blinding, while only 16% of studies were at low risk. We generally judged the risk of bias due to missing data and selective outcome reporting to be unclear.For preventive healthcare, ATCS (ATCS Plus, IVR, unidirectional) probably increase immunisation uptake in children (risk ratio (RR) 1.25, 95% confidence interval (CI) 1.18 to 1.32; 5 studies, N = 10,454; moderate certainty) and to a lesser extent in adolescents (RR 1.06, 95% CI 1.02 to 1.11; 2 studies, N = 5725; moderate certainty). The effects of ATCS in adults are unclear (RR 2.18, 95% CI 0.53 to 9.02; 2 studies, N = 1743; very low certainty).For screening, multimodal ATCS increase uptake of screening for breast cancer (RR 2.17, 95% CI 1.55 to 3.04; 2 studies, N = 462; high certainty) and colorectal cancer (CRC) (RR 2.19, 95% CI 1.88 to 2.55; 3 studies, N = 1013; high certainty) versus usual care. It may also increase osteoporosis screening. ATCS Plus interventions probably slightly increase cervical cancer screening (moderate certainty), but effects on osteoporosis screening are uncertain. IVR systems probably increase CRC screening at 6 months (RR 1.36, 95% CI 1.25 to 1.48; 2 studies, N = 16,915; moderate certainty) but not at 9 to 12 months, with probably little or no effect of IVR (RR 1.05, 95% CI 0.99, 1.11; 2 studies, 2599 participants; moderate certainty) or unidirectional ATCS on breast cancer screening.Appointment reminders delivered through IVR or unidirectional ATCS may improve attendance rates compared with no calls (low certainty). For long-term management, medication or laboratory test adherence provided the most general evidence across conditions (25 studies, data not combined). Multimodal ATCS versus usual care showed conflicting effects (positive and uncertain) on medication adherence. ATCS Plus probably slightly (versus control; moderate certainty) or probably (versus usual care; moderate certainty) improves medication adherence but may have little effect on adherence to tests (versus control). IVR probably slightly improves medication adherence versus control (moderate certainty). Compared with usual care, IVR probably improves test adherence and slightly increases medication adherence up to six months but has little or no effect at longer time points (moderate certainty). Unidirectional ATCS, compared with control, may have little effect or slightly improve medication adherence (low certainty). The evidence suggested little or no consistent effect of any ATCS type on clinical outcomes (blood pressure control, blood lipids, asthma control, therapeutic coverage) related to adherence, but only a small number of studies contributed clinical outcome data.The above results focus on areas with the most general findings across conditions. In condition-specific areas, the effects of ATCS varied, including by the type of ATCS intervention in use.Multimodal ATCS probably decrease both cancer pain and chronic pain as well as depression (moderate certainty), but other ATCS types were less effective. Depending on the type of intervention, ATCS may have small effects on outcomes for physical activity, weight management, alcohol consumption, and diabetes mellitus. ATCS have little or no effect on outcomes related to heart failure, hypertension, mental health or smoking cessation, and there is insufficient evidence to determine their effects for preventing alcohol/substance misuse or managing illicit drug addiction, asthma, chronic obstructive pulmonary disease, HIV/AIDS, hypercholesterolaemia, obstructive sleep apnoea, spinal cord dysfunction or psychological stress in carers.Only four trials (3%) reported adverse events, and it was unclear whether these were related to the interventions.

AUTHORS' CONCLUSIONS

ATCS interventions can change patients' health behaviours, improve clinical outcomes and increase healthcare uptake with positive effects in several important areas including immunisation, screening, appointment attendance, and adherence to medications or tests. The decision to integrate ATCS interventions in routine healthcare delivery should reflect variations in the certainty of the evidence available and the size of effects across different conditions, together with the varied nature of ATCS interventions assessed. Future research should investigate both the content of ATCS interventions and the mode of delivery; users' experiences, particularly with regard to acceptability; and clarify which ATCS types are most effective and cost-effective.

Impact of Information Technology-Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis

BACKGROUND

Information technology-based interventions are increasingly being used to manage health care. However, there is conflicting evidence regarding whether these interventions improve outcomes in people with type 2 diabetes.

OBJECTIVE

The objective of this study was to conduct a systematic review and meta-analysis of clinical trials, assessing the impact of information technology on changes in the levels of hemoglobin A_1c (HbA_1c) and mapping the interventions with chronic care model (CCM) elements.

METHODS

Electronic databases PubMed and EMBASE were searched to identify relevant studies that were published up until July 2016, a method that was supplemented by identifying articles from the references of the articles already selected using the electronic search tools. The study search and selection were performed by independent reviewers. Of the 1082 articles retrieved, 32 trials (focusing on a total of 40,454 patients) were included. A random-effects model was applied to estimate the pooled results.

RESULTS

Information technology-based interventions were associated with a statistically significant reduction in HbA_1c levels (mean difference -0.33%, 95% CI -0.40 to -0.26, P<.001). Studies focusing on electronic self-management systems demonstrated the largest reduction in HbA_1c (0.50%), followed by those with electronic medical records (0.17%), an electronic decision support system (0.15%), and a diabetes registry (0.05%). In addition, the more CCM-incorporated the information technology-based interventions were, the more improvements there were in HbA_1c levels.

CONCLUSIONS

Information technology strategies combined with the other elements of chronic care models are associated with improved glycemic control in people with diabetes. No clinically relevant impact was observed on low-density lipoprotein levels and blood pressure, but there was evidence that the cost of care was lower.

Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program

BACKGROUND

Cognitive behavioral therapy (CBT) is one of the most effective treatments for chronic low back pain. However, only half of Department of Veterans Affairs (VA) patients have access to trained CBT therapists, and program expansion is costly. CBT typically consists of 10 weekly hour-long sessions. However, some patients improve after the first few sessions while others need more extensive contact.

OBJECTIVE

We are applying principles from "reinforcement learning" (a field of artificial intelligence or AI) to develop an evidence-based, personalized CBT pain management service that automatically adapts to each patient's unique and changing needs (AI-CBT). AI-CBT uses feedback from patients about their progress in pain-related functioning measured daily via pedometer step counts to automatically personalize the intensity and type of patient support. The specific aims of the study are to (1) demonstrate that AI-CBT has pain-related outcomes equivalent to standard telephone CBT, (2) document that AI-CBT achieves these outcomes with more efficient use of clinician resources, and (3) demonstrate the intervention's impact on proximal outcomes associated with treatment response, including program engagement, pain management skill acquisition, and patients' likelihood of dropout.

METHODS

In total, 320 patients with chronic low back pain will be recruited from 2 VA healthcare systems and randomized to a standard 10 sessions of telephone CBT versus AI-CBT. All patients will begin with weekly hour-long telephone counseling, but for patients in the AI-CBT group, those who demonstrate a significant treatment response will be stepped down through less resource-intensive alternatives including: (1) 15-minute contacts with a therapist, and (2) CBT clinician feedback provided via interactive voice response calls (IVR). The AI engine will learn what works best in terms of patients' personally tailored treatment plans based on daily feedback via IVR about their pedometer-measured step counts, CBT skill practice, and physical functioning. Outcomes will be measured at 3 and 6 months post recruitment and will include pain-related interference, treatment satisfaction, and treatment dropout. Our primary hypothesis is that AI-CBT will result in pain-related functional outcomes that are at least as good as the standard approach, and that by scaling back the intensity of contact that is not associated with additional gains in pain control, the AI-CBT approach will be significantly less costly in terms of therapy time.

RESULTS

The trial is currently in the start-up phase. Patient enrollment will begin in the fall of 2016 and results of the trial will be available in the winter of 2019.

CONCLUSIONS

This study will evaluate an intervention that increases patients' access to effective CBT pain management services while allowing health systems to maximize program expansion given constrained resources.

Cooperative pain education and self-management (COPES): study design and protocol of a randomized non-inferiority trial of an interactive voice response-based self-management intervention for chronic low back pain

Background

The Institute of Medicine report “Relieving Pain in America” recommends the promotion of patient self-management of pain for all people with pain. Given the high prevalence of chronic pain in the US, new strategies are needed to enhance access to cognitive behavioral therapy (CBT) and other evidence-based treatments designed to facilitate self-management of chronic pain conditions. Although CBT is efficacious, many patients have limited or no access to CBT. Technology-assisted delivery of CBT may improve access while maintaining efficacy.

Methods/Design

We describe a randomized non-inferiority trial of interactive voice response (IVR)-based CBT for patients with chronic low back pain. This intervention uses daily IVR monitoring and weekly pre-recorded therapist feedback, based on patient-reported information, to provide treatment for patients at home. A total of 230 patients with chronic low back pain are being identified from a single statewide health system serving US military veterans. Participants are randomized to receive either ten weeks of in-person CBT or IVR-based CBT. The primary outcome is pain intensity as measured by the Numeric Rating Scale immediately post-treatment. Secondary outcomes include pain-related interference, emotional functioning, and quality of life measured immediately post treatment, and 6 and 9 months post recruitment. Exploratory objectives of the study are to examine: (1) potential mediators of impact on clinical outcomes (treatment retention, self-reported skill practice ratings, IVR call adherence, and treatment satisfaction); and (2) moderators of treatment engagement, adherence to therapist recommendations for pain coping skill practice, and effects on clinical outcomes.

Discussion

This non-inferiority trial may identify an alternative to resource intensive in-person CBT that allows many more patients to receive care while also increasing retention of those enrolled in the program.

Trial registration

ClinicalTrials.gov: NCT01025752. Registered 3 December 2009.

Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease Management

BACKGROUND

Remote patient monitoring is increasingly integrated into health care delivery to expand access and increase effectiveness. Automation can add efficiency to remote monitoring, but patient acceptance of automated tools is critical for success. From 2010 to 2013, the Diabetes-Depression Care-management Adoption Trial (DCAT)-a quasi-experimental comparative effectiveness research trial aimed at accelerating the adoption of collaborative depression care in a safety-net health care system-tested a fully automated telephonic assessment (ATA) depression monitoring system serving low-income patients with diabetes.

OBJECTIVE

The aim of this study was to determine patient acceptance of ATA calls over time, and to identify factors predicting long-term patient acceptance of ATA calls.

METHODS

We conducted two analyses using data from the DCAT technology-facilitated care arm, in which for 12 months the ATA system periodically assessed depression symptoms, monitored treatment adherence, prompted self-care behaviors, and inquired about patients' needs for provider contact. Patients received assessments at 6, 12, and 18 months using Likert-scale measures of willingness to use ATA calls, preferred mode of reach, perceived ease of use, usefulness, nonintrusiveness, privacy/security, and long-term usefulness. For the first analysis (patient acceptance over time), we computed descriptive statistics of these measures. In the second analysis (predictive factors), we collapsed patients into two groups: those reporting "high" versus "low" willingness to use ATA calls. To compare them, we used independent t tests for continuous variables and Pearson chi-square tests for categorical variables. Next, we jointly entered independent factors found to be significantly associated with 18-month willingness to use ATA calls at the univariate level into a logistic regression model with backward selection to identify predictive factors. We performed a final logistic regression model with the identified significant predictive factors and reported the odds ratio estimates and 95% confidence intervals.

RESULTS

At 6 and 12 months, respectively, 89.6% (69/77) and 63.7% (49/77) of patients "agreed" or "strongly agreed" that they would be willing to use ATA calls in the future. At 18 months, 51.0% (64/125) of patients perceived ATA calls as useful and 59.7% (46/77) were willing to use the technology. Moreover, in the first 6 months, most patients reported that ATA calls felt private/secure (75.9%, 82/108) and were easy to use (86.2%, 94/109), useful (65.1%, 71/109), and nonintrusive (87.2%, 95/109). Perceived usefulness, however, decreased to 54.1% (59/109) in the second 6 months of the trial. Factors predicting willingness to use ATA calls at the 18-month follow-up were perceived privacy/security and long-term perceived usefulness of ATA calls. No patient characteristics were significant predictors of long-term acceptance.

CONCLUSIONS

In the short term, patients are generally accepting of ATA calls for depression monitoring, with ATA call design and the care management intervention being primary factors influencing patient acceptance. Acceptance over the long term requires that the system be perceived as private/secure, and that it be constantly useful for patients' needs of awareness of feelings, self-care reminders, and connectivity with health care providers.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01781013; https://clinicaltrials.gov/ct2/show/NCT01781013 (Archived by WebCite at http://www.webcitation.org/6e7NGku56).

A demonstration of peer support for Ugandan adults with type 2 diabetes

BACKGROUND

By 2030, 80% of people with diabetes will be living in developing countries.

PURPOSE

The purpose of this pre-post quasi-experimental study was to test the feasibility of a peer intervention to improve the following: (1) diabetes self-care behaviors, (2) glycemic control, (3) social support and emotional well-being, (4) linkages to health care providers, and (5) to assess the sustainability of the intervention 18 months later.

METHOD

Participants were adults with type 2 diabetes who resided in rural Uganda. Participants (n = 46) attended a 1-day diabetes education program and agreed to make weekly contacts over 4 months with each other by phone or in person to assist with daily management, provide social and emotional support, and encourage appropriate contact with health care providers.

RESULTS

Results indicated improvement in glycosylated hemoglobin (A1C), diastolic blood pressure, and eating behaviors.

CONCLUSIONS

A short-term peer support program was a feasible intervention to improve diabetes care in rural Uganda. Participants were successfully recruited and retained, and they experienced positive behavioral and physiologic outcomes. Elements of the intervention were sustained 18 months after the intervention.

Enriching Patient-Centered Medical Homes Through Peer Support

Peer supporters are recognized by various designations-community health workers, promotores de salud, lay health advisers-and are community members who work for pay or as volunteers in association with health care systems or nonprofit community organizations and often share ethnicity, language, and socioeconomic status with the mentees that they serve. Although emerging evidence demonstrates the efficacy of peer support at the community level, the adoption and implementation of this resource into patient-centered medical homes (PCMHs) is still under development. To accelerate that integration, this article addresses three major elements of peer support interventions: the functions and features of peer support, a framework and programmatic strategies for implementation, and fiscal models that would support the sustained viability of peer support programs within PCMHs. Key functions of peer support include assistance in daily management of health-related behaviors, social and emotional support, linkage to clinical care, and longitudinal or ongoing support. An organizational model of innovation implementation provides a useful framework for determining how to implement and evaluate peer support programs in PCMHs. Programmatic strategies that can be useful in developing peer support programs within PCMHs include peer coaching or mentoring, group self-management training, and programs designed around the telephone and information technology. Fiscal models for peer support programs include linkages with hospital or health care systems, service- or community-based nonprofit organizations, and partnerships between health care systems and community groups. Peer support promises to enrich PCMHs by activating patients in their self-care, providing culturally sensitive outreach, and opening the way for partnerships with community-based organizations.

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).

Improvements in illness self-management and psychological distress associated with telemonitoring support for adults with diabetes

OBJECTIVE

The objective of this observational open label trial was to characterize changes in diabetes self-management and psychological distress associated with a mobile health (mHealth) interactive voice response (IVR) self-management support program.

METHODS

For 3-6 months, 301 patients with diabetes received weekly IVR calls assessing health status and self-care and providing tailored pre-recorded self-management support messages. Patients could participate together with an informal caregiver who received suggestions on self-management support, and patients' clinicians were notified automatically when patients reported significant problems.

RESULTS

Patients completed 84% of weekly calls, providing 5682 patient-weeks of data. Thirty-nine percent participated with an informal caregiver. Outcome analyses adjusted for study design factors and sociodemographics indicated significant pre-post improvement in medication adherence, physical functioning, depressive symptoms, and diabetes-related distress (all p values <0.001). Analyses of self-management problems indicated that as the intervention proceeded, there were significant improvements in patients' IVR-reported frequency of weekly medication adherence, SMBG performance, checking feet, and frequency of abnormal self-monitored blood glucose readings (all p values <0.001).

CONCLUSIONS

We conclude that the combined program of automated telemonitoring, clinician notification, and informal caregiver involvement was associated with consistent improvements in medication adherence, diabetes self-management behaviors, physical functioning, and psychological distress. A randomized controlled trial is needed to verify these encouraging findings.

EMPOWER-support of patient empowerment by an intelligent self-management pathway for patients: study protocol

Background

Diabetes education together with patient empowerment has shown to be key to effective self-management behavior. When delivered through information and communication technologies (ICT), this solution has shown to lead to better health outcomes. However, the potential of ICT and their integration into the healthcare environment have not yet been fully exploited. ICT should be in particular used to facilitate communication and information exchange between patient and healthcare providers. In addition, systems should include components facilitating behavior change using empowerment approaches such as goal-setting.

Methods/Design

Funded by the European Commission (FP7-ICT-2011-288209) a web/mobile based platform (EMPOWER) has been developed, which aims at supporting self-management activities of diabetes patients and their treating physicians in Germany and Turkey. The platform semantically integrates multiple information sources, such as electronic and personal health records (EHR/PHR). Patients can register patterns of daily living, record blood glucose levels, design disease management plans and set long- and short-term goals. The project actively involves the treating physician, who has the possibility to set recommendations for the patient and to monitor his/her progress on the platform.

In the test-phase of EMPOWER, patients will be assigned to an intervention group and a control group. Data will be collected at baseline and three months after the intervention started. In addition, qualitative interviews will be conducted to collect extra information on usability and usefulness.

Outcome measures include amongst others the Problem Areas in Diabetes questionnaire (PAID), the Summary of Diabetes Self-Care Activities and scales evaluating doctor-patient interaction. Physiological parameters, such as physical activity or blood glucose levels will be collected via the platform. Further, log files and number of logins will serve as independent variables.

Discussion

The interplay between multiple sources, including EHR, patients’ own registered information and physicians’ recommendations on one platform can have important practice implications. It might not only improve self-management activities in diabetes patients but it will also facilitate physician’s work, and ultimately the physician patient relationship.

Trial registration

The trial has been registered with Deutsches Register Klinischer Studien (German register of clinical trials) under DRKS00007699 on January 30, 2015.

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.

Rationale and Methods of a Trial to Evaluate a Depression Telemonitoring Program that Includes a Patient-Selected Support Person

OBJECTIVE

To test the effectiveness of an automated telemonitoring program for patients with depression that includes feedback to clinicians and support for a family member or friend serving as a non-professional caregiver.

METHODS

Prior to being randomized to receive one year of either the Care Partners for Depression (CP-D) intervention or usual care alone, depressed patients from primary care clinics serving primarily low-income populations in rural and urban Michigan select a supportive adult from outside their home (their "Care Partner;" CP) to assist them in their depression self-management. In the CP-D arm, patients receive weekly automated telephone calls that provide monitoring and self-management guidance, CPs receive emailed guidance on supporting the patient's self-management based on patient-reported information, and primary care providers receive notifications about any urgent issues. At Baseline, Month 6, and Month 12, we assess depressive symptom severity (primary outcome) and several secondary outcomes.

CONCLUSION

To date, this is the only mHealth intervention for any psychiatric condition that involves a patient-selected support person. If it proves effective and cost-efficient, a new sustainable intervention would be available to patients with significant depressive symptoms, providing new management alternatives for patients who are medically underserved or socially isolated.

Using the iPod Touch for Patient Health Behavior Assessment and Health Promotion in Primary Care

BACKGROUND

There is a growing recognition of the importance of lifestyle behavior change for health promotion and disease prevention, as well as the concomitant influence of patient-physician communication on effective behavior change. Mobile technology is increasingly being recognized as an important and efficient tool to collect patients' health behavior data and facilitate patient-physician communication.

OBJECTIVE

The aim of this study was to assess the feasibility of an iPod touch-based health behavior assessment (HBA) tool in enhancing patient-physician collaborative goal-setting for health promotion in primary care.

METHODS

A total of 109 patients from three primary care clinics in central Texas completed a brief HBA, which was programmed on an iPod touch device. An instant feedback report was generated for the patient and their physician simultaneously to facilitate collaborative goal-setting. Within approximately 7 days of the HBA, the patients were phoned for a follow-up survey for their feedback on the iPod touch-based HBA and resultant patient-physician communication.

RESULTS

Patients were able to complete an HBA on the iPod touch with ease. Among those who completed the follow-up survey (n=83), 30% (25/83) reported that their physicians discussed the HBA report with them, while 29% (24/83) established behavior change goals with them. More than 90% (75/83) of the patients reported positive experiences with the iPod touch-based HBA.

CONCLUSIONS

It is feasible to use mobile tools for HBA in the primary care setting. The HBA also facilitated patient-physician communication on behavior change. However, more research is needed on the effectiveness of large scale dissemination of mobile-based HBA technology on health communication and behavior change for preventing or managing lifestyle-related chronic conditions, such as obesity, diabetes, cancer, or heart diseases.

Diabetes self-management support using mHealth and enhanced informal caregiving

OBJECTIVE

To characterize diabetes patient engagement and clinician notifications for an mHealth interactive voice response (IVR) service.

DESIGN

Observational study.

METHODS

For three to six months, VA patients with diabetes received weekly IVR calls assessing health status and self-care along with tailored education. Patients could enroll with an informal caregiver who received suggestions on self-management support. Notifications were issued to clinicians when patients reported significant problems.

RESULTS

Patients (n = 303) participated for a total of 5684 patient-weeks, during which 84% of calls were completed. The odds of call completion decreased over time (AOR = 0.96, p < 0.001), and were lower among unmarried patients (AOR = 0.67, p = 0.038) and those who had difficulties with health literacy (AOR = 0.67, p = 0.039), diabetes-related distress (AOR = 0.30, p = 0.018), or medication nonadherence (AOR = 0.57, p = 0.002). Twenty-one clinician notifications were triggered per 100 patient-weeks. The odds of notification were higher during the early weeks of the program (AOR = 0.95, p < 0.001) and among patients who were older (AOR = 1.03, p = 0.004) or more physically impaired (AOR = 0.97, p < 0.001).

CONCLUSIONS

By providing information that is reliable, valid, and actionable, IVR-based mHealth services may increase access to between-visit monitoring and diabetes self-management support. The system detects abnormal glycemia and blood pressure levels that might otherwise go unreported, although thresholds for clinician notifications might require adjustment to avoid overloading clinicians. Patient engagement might be enhanced by addressing health literacy and psychological distress.

Use of behavioral change techniques in web-based self-management programs for type 2 diabetes patients: systematic review

Background

Type 2 diabetes mellitus (T2DM) is a highly prevalent chronic metabolic disease characterized by hyperglycemia and cardiovascular risks. Without proper treatment, T2DM can lead to long-term complications. Diabetes self-management is recognized as the cornerstone of overall diabetes management. Web-based self-management programs for T2DM patients can help to successfully improve patient health behaviors and health-related outcomes. Theories can help to specify key determinants of the target behaviors and behavior change strategies required to arrive at the desired health outcomes, which can then be translated into specific behavioral techniques or strategies that patients can learn to apply in their daily life. From previous reviews of a wide range of online diabetes self-management tools and programs, it appears that it is still unclear which behavioral change techniques (BCTs) are primarily used and are most effective when it comes to improving diabetes self-management behaviors and related health outcomes.

Objective

We set out to identify which BCTs are being applied in online self-management programs for T2DM and whether there is indication of their effectiveness in relation to predefined health outcomes.

Methods

Articles were systematically searched and screened on the mentioned use of 40 BCTs, which were then linked to reported statistically significant improvements in study outcomes.

Results

We found 13 randomized controlled trials reporting on 8 online self-management interventions for T2DM. The BCTs used were feedback on performance, providing information on consequences of behavior, barrier identification/problem solving, and self-monitoring of behavior. These BCTs were also linked to positive outcomes for health behavior change, psychological well-being, or clinical parameters.

Conclusions

A relatively small number of theory-based online self-management support programs for T2DM have been reported using only a select number of BCTs. The development of future online self-management interventions should be based on the use of theories and BCTs and should be reported accurately.

Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial

Background

Persistently poor glycemic control in adult type 1 diabetes patients is a common, complex, and serious problem initiating significant damage to the cardiovascular, renal, neural, and visual systems. Currently, there is a plethora of low-cost and free diabetes self-management smartphone applications available in online stores.

Objective

The aim of this study was to examine the effectiveness of a freely available smartphone application combined with text-message feedback from a certified diabetes educator to improve glycemic control and other diabetes-related outcomes in adult patients with type 1 diabetes in a two-group randomized controlled trial.

Methods

Patients were recruited through an online type 1 diabetes support group and letters mailed to adults with type 1 diabetes throughout Australia. In a 6-month intervention, followed by a three-month follow-up, patients (n=72) were randomized to usual care (control group) or usual care and the use of a smartphone application (Glucose Buddy) with weekly text-message feedback from a Certified Diabetes Educator (intervention group). All outcome measures were collected at baseline and every three months over the study period. Patients’ glycosylated hemoglobin levels (HbA1c) were measured with a blood test and diabetes-related self-efficacy, self-care activities, and quality of life were measured with online questionnaires.

Results

The mean age of patients was 35.20 years (SD 10.43) (28 male, 44 female), 39% (28/72) were male, and patients had been diagnosed with type 1 diabetes for a mean of 18.94 years (SD 9.66). Of the initial 72 patients, 53 completed the study (25 intervention, 28 control group). The intervention group significantly improved glycemic control (HbA1c) from baseline (mean 9.08%, SD 1.18) to 9-month follow-up (mean 7.80%, SD 0.75), compared to the control group (baseline: mean 8.47%, SD 0.86, follow-up: mean 8.58%, SD 1.16). No significant change over time was found in either group in relation to self-efficacy, self-care activities, and quality of life.

Conclusions

In adjunct to usual care, the use of a diabetes-related smartphone application combined with weekly text-message support from a health care professional can significantly improve glycemic control in adults with type 1 diabetes.

Trial Registration

Australian New Zealand Clinical Trials Registry: ACTRN12612000132842; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12612000132842 (Archived by WebCite at http://www.webcitation.org/6Kl4jqn5u).

Factors Associated with Women's Chronic Disease Management: Associations of Healthcare Frustrations, Physician Support, and Self-Care Needs

Previous research emphasizes the importance of reducing healthcare frustrations and enhancing physician supports to help patients engage in recommended healthcare regimens. However, less is known about how these factors are associated with aging women's knowledge about self-care behavior. This study examined the sociodemographics, health indicators, healthcare-related frustrations, and perceptions of physician support associated with middle-aged and older adult females' self-reported need for help to learn how to take better care of their health. Data were analyzed from 287 females with one or more chronic conditions who completed The National Council on Aging (NCOA) Chronic Care Survey. A logistic regression model was developed. Women who were non-White (OR = 2.26, P = 0.049) were more likely to need help learning how to better manage their health. Those who had some college education or more (OR = 0.55, P = 0.044) and lower healthcare-related frustrations (OR = 0.44, P = 0.017) and perceived to have more physician support (OR = 0.49, P = 0.033) were less likely to need help learning how to better manage their health. Findings can inform the planning, implementation, assessment, and dissemination of evidence-based self-management programs for middle-aged and older women within and outside of clinical settings.

Impact of remote management of diabetes via computer: the 360 study--a proof-of-concept randomized trial

BACKGROUND

Previous studies have provided limited guidance regarding the clinical efficacy and cost-effectiveness of interventions using "telemedicine" models in the management of diabetes mellitus. We conducted a study to determine if routine clinical assessments of diabetes patients could be effectively conducted via computer and telephone interaction with patients and still provide clinical results similar to traditional office care.

SUBJECTS AND METHODS

We enrolled 100 subjects with diabetes in this 12-month, randomized, controlled, non-inferiority study. Subjects were randomized (1:1 ratio) to a control group (CG) or study group (SG). Baseline characteristics were similar. CG subjects participated in quarterly office visits; SG subjects participated in two office visits (months 6 and 12) and two telemedicine interactions (months 3 and 9). Changes in clinical measurements (hemoglobin A1c [HbA1c], blood pressure, lipids, body mass index [BMI], and body weight) and clinician time requirements were assessed.

RESULTS

Seventy subjects completed the study (CG, n=37; SG, n=33). No significant between-group differences in HbA1c, blood pressure, lipids, or BMI were seen at 12 months. SG subjects showed significantly greater reductions in mean (SD) body weight compared with CG subjects: -5.2 (1.6) pounds versus -0.7 (1.5) pounds, respectively (P=0.04). Clinician time requirements for SG subjects were reduced by >40%.

CONCLUSIONS

Our study demonstrated that use of a telemedicine-based treatment protocol in diabetes patients is feasible and efficient and yields similar clinical outcomes compared with traditional, clinic-based protocols. Telemedicine applications of computer software can potentially expand access to care for patients and may reduce costs for patients, providers, and payers.

Long-term engagement with a mobile self-management system for people with type 2 diabetes

Background

In a growing number of intervention studies, mobile phones are used to support self-management of people with Type 2 diabetes mellitus (T2DM). However, it is difficult to establish knowledge about factors associated with intervention effects, due to considerable differences in research designs and outcome measures as well as a lack of detailed information about participants’ engagement with the intervention tool.

Objective

To contribute toward accumulating knowledge about factors associated with usage and usability of a mobile self-management application over time through a thorough analysis of multiple types of investigation on each participant’s engagement.

Methods

The Few Touch application is a mobile-phone–based self-management tool for patients with T2DM. Twelve patients with T2DM who have been actively involved in the system design used the Few Touch application in a real-life setting from September 2008 until October 2009. During this period, questionnaires and semistructured interviews were conducted. Recorded data were analyzed to investigate usage trends and patterns. Transcripts from interviews were thematically analyzed, and the results were further analyzed in relation to the questionnaire answers and the usage trends and patterns.

Results

The Few Touch application served as a flexible learning tool for the participants, responsive to their spontaneous needs, as well as supporting regular self-monitoring. A significantly decreasing (P<.05) usage trend was observed among 10 out of the 12 participants, though the magnitude of the decrease varied widely. Having achieved a sense of mastery over diabetes and experiences of problems were identified as reasons for declining motivation to continue using the application. Some of the problems stemmed from difficulties in integrating the use of the application into each participant’s everyday life and needs, although the design concepts were developed in the process where the participants were involved. The following factors were identified as associated with usability and/or usage over time: Integration with everyday life; automation; balance between accuracy and meaningfulness of data with manual entry; intuitive and informative feedback; and rich learning materials, especially about foods.

Conclusion

Many grounded design implications were identified through a thorough analysis of results from multiple types of investigations obtained through a year-long field trial of the Few Touch application. The study showed the importance and value of involving patient-users in a long-term trial of a tool to identify factors influencing usage and usability over time. In addition, the study confirmed the importance of detailed analyses of each participant’s usage of the provided tool for better understanding of participants’ engagement over time.

Telehealth--an effective delivery method for diabetes self-management education?

Diabetes is a chronic disease that is often comorbid with cardiovascular disease, hypertension, kidney disease, and neuropathy. Its management is complex, requiring ongoing clinical management, lifestyle changes, and self-care. This article examines recent literature on telehealth and emerging technological tools for supporting self-management of diabetes and identifies best practices. The authors conducted a PubMed search (January 2008-2012) that was supplemented by review of meeting materials and a scan of the Internet to identify emerging technologies. Fifty-eight papers were reviewed; 12 were selected for greater analysis. This review supports earlier findings that the delivery of diabetes self-management and training (DSME/T) via telehealth is useful, appropriate, and acceptable to patients and providers. Best practices are emerging; not all technology is appropriate for all populations--interactive technology needs to be appropriate to the patient's age, abilities, and sensitivities. Telehealth is scalable and sustainable provided that it adds value, does not add to the provider's workload, and is fairly reimbursed. However, there are multiple barriers (patient, provider, health system) to remotely provided DSME/T. DSME/T delivered via telehealth offers effective, efficient, and affordable ways to reach and support underserved minorities and other people with diabetes and related comorbidities. The new generation of smartphones, apps, and other technologies increase access, and the newest interventions are designed to meet patient needs, do not increase workloads, are highly appropriate, enhance self-management, and are desired by patients.

Peer support for self-management of diabetes improved outcomes in international settings

Self-management of diabetes is essential to reducing the risks of associated disabilities. But effective self-management is often short-lived. Peers can provide the kind of ongoing support that is needed for sustained self-management of diabetes. In this context, peers are nonprofessionals who have diabetes or close familiarity with its management. Key functions of effective peer support include assistance in daily management, social and emotional support, linkage to clinical care, and ongoing availability of support. Using these four functions as a template of peer support, project teams in Cameroon, South Africa, Thailand, and Uganda developed and then evaluated peer support interventions for adults with diabetes. Our initial assessment found improvements in symptom management, diet, blood pressure, body mass index, and blood sugar levels for many of those taking part in the programs. For policy makers, the broader message is that by emphasizing the four key peer support functions, diabetes management programs can be successfully introduced across varied cultural settings and within diverse health systems.

Clinical complexity and the effectiveness of an intervention for depressed diabetes patients

OBJECTIVES

In a trial completed in 2010, US patients with diabetes and depression were randomized to usual care or telephone cognitive behavioural therapy that emphasized physical activity. Twelve-month intervention effects were observed for blood pressure, depression, and pedometer-measured step-counts. This study examined variation in intervention effects across patient subgroups defined by a measure of clinical complexity.

METHODS

Three groups of patients were identified at baseline using the Vector Model of Complexity that recognizes socioeconomic, biological, behavioural, and other determinants of treatment response. Complexity-by-intervention interactions were examined using regression models.

RESULTS

Intervention effects for blood pressure, depression, and step-counts differed across complexity levels (each p < 0.01). Effects on Beck Depression Inventory scores were greater in the low-complexity group (-8.8) than in the medium- (-3.2) or high-complexity groups (-2.7). Physical activity effects also were greatest in the low-complexity group (increase of 1498 steps per day). In contrast, systolic blood pressure effects were greater among intervention patients with high complexity (-8.5 mmHg).

CONCLUSIONS

This intervention had varying impacts on physical and mental health depending on patients' clinical complexity. Physical activity and depressive symptom gains may be more likely among less complex patients, although more complex patients may achieve cardiovascular benefits through decreased blood pressures.

Mobile intervention design in diabetes: review and recommendations

Mobile technology enhances the potential to assess, prompt, educate, and engage individuals with diabetes. The near-ubiquitous presence of mobile phones allows real-time contextually relevant support for diabetes self-care. We review the design of mobile interventions included in a recent meta-analysis. Although mobile programs can lead to improvements in glycemic control, many aspects, such as the role of the diabetes clinician, real-time features, and patient engagement have not been documented. Studies with the greatest impact on hemoglobin A(1c) integrated patient feedback and a role for clinicians. Research is needed regarding feasible and efficacious roles for clinical support in mobile interventions. Recommendations for design and research include the following: consideration of patient and clinician burden; identification of patterns and metrics for patient treatment adherence and engagement; integration of goal setting and problem solving; enhancing patient education; a greater focus on patient-centered motivational strategies; and utilization of study designs that relate intervention design elements to outcomes.

‘Oh dear, should I really be saying that on here?’: Issues of identity and authority in an online diabetes community

We explore peer-to-peer discussions which took place in a UK-based diabetes ‘Virtual Clinic’ online community. In particular, we seek to understand the rhetorical nature and content of exchanges over a period of six months from the community’s inception. Data were captured weekly and analysis based on thematic discourse analysis. Two key issues emerged regarding how the community shaped the nature of the discussion forum. First, the identity of the forum was established, and boundaries drawn about what was, and was not, acceptable. Second, participants sought to present themselves as reliable and authoritative sources of information. Internet discussion communities are shaped in important ways early on by the community of users, including how the character and focus of discussion is formed, and how both information and users can be constructed as authoritative and reliable.

Organizing and delivering diabetes education and self-care support: findings of scoping project

OBJECTIVE

To provide an overview of current research and development on the organization and delivery of diabetes education and self-care support, incorporating stakeholder perspectives.

METHOD

Four methods were used: literature review (159 papers and 52 grey literature items); patient participation event (n = 38); online survey of professionals (n = 423) and patients (n= 495); and, a conference.

RESULTS

The literature review identified themes relating to the organization and delivery of diabetes and self-care support: structure and flexibility in models of education; accessibility; patient choice; integrating self-care within the overall care system; quality improvement; peer educators; health literacy; efficiency in delivery; telecare models; feedback technologies; care planning; psychological intervention; and self-care outcome measures. This generated four models to provide a framework to help shape the development of diabetes self-care: a diabetes education pathway; integrating self-care and clinical care; choice as a method of optimizing care; and an integrated framework for delivering diabetes self-care.

CONCLUSION

The clinical benefit of the identified models need to be evaluated.

Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis

AIMS

  To assess the effect of mobile phone intervention on glycaemic control in diabetes self-management.

METHODS

We searched three electronic databases (PubMed, EMBASE and Cochrane Library) using the following terms: diabetes or diabetes mellitus and mobile phone or cellular phone, or text message. We also manually searched reference lists of relevant papers to identify additional studies. Clinical studies that used mobile phone intervention and reported changes in glycosylated haemoglobin (HbA(1c) ) values in patients with diabetes were reviewed. The study design, intervention methods, sample size and clinical outcomes were extracted from each trial. The results of the HbA(1c) change in the trials were pooled using meta-analysis methods.

RESULTS

  A total of 22 trials were selected for the review. Meta-analysis among 1657 participants showed that mobile phone interventions for diabetes self-management reduced HbA(1c) values by a mean of 0.5% [6 mmol/mol; 95% confidence interval, 0.3-0.7% (4-8 mmol/mol)] over a median of 6 months follow-up duration. In subgroup analysis, 11 studies among Type 2 diabetes patients reported significantly greater reduction in HbA(1c) than studies among Type 1 diabetes patients [0.8 (9 mmol/mol) vs. 0.3% (3 mmol/mol); P=0.02]. The effect of mobile phone intervention did not significantly differ by other participant characteristics or intervention strategies.

CONCLUSIONS

  Results pooled from the included trials provided strong evidence that mobile phone intervention led to statistically significant improvement in glycaemic control and self-management in diabetes care, especially for Type 2 diabetes patients.

Healthy coping: issues and implications in diabetes education and care

Psychological, emotional, and social factors not only impact quality of life, but also often play a role in chronic illness outcomes. Diabetes care, in particular, is greatly influenced by psychosocial factors when they hinder a person's ability to manage the disease and achieve metabolic control. Healthy coping, defined as responding to a psychological and physical challenge by recruiting available resources to increase the probability of favorable outcomes in the future, is essential to effective self-management by people with diabetes. In June 2009, the American Association of Diabetes Educators convened a multidisciplinary expert panel to discuss healthy coping in diabetes. The panel included diabetes educators and behavioral science and mental health professionals. Drawing on their knowledge and experiences, as well as information presented at the symposium, the panel probed several aspects of healthy coping including what it entails, common barriers, assessment, population diversity, and clinical applications. A team approach to addressing the patient's coping is critical. Team involvement relieves the diabetes educator of the entire burden of supporting the patient in this regard. The team should be broadly defined and include those who are formally and informally involved. Healthy coping is a complex, qualitative behavior that cannot be easily quantified. Future efforts to address the issue of healthy coping should add to the body of literature regarding diabetes self-management at the individual and population-based levels.

Crossing the technology divide: practical strategies for transitioning patients from multiple daily insulin injections to sensor-augmented pump therapy

PURPOSE

To describe the benefits of continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) systems compared with self-monitoring of blood glucose (SMBG) and multiple daily injection (MDI) therapy; to assess the benefits of sensor-augmented pump therapy (SAPT) in patients with type 1 diabetes; and to present an evidence-based practical protocol for introducing SAPT in patients with no prior pump or CGM experience.

CONCLUSION

Continuous glucose monitoring and CSII have advantages over SMBG and MDI, respectively, in terms of A1C and hypoglycemia reduction. The Sensor-Augmented Pump Therapy for A1C Reduction (STAR) 3 trial demonstrated that initiating both CGM and CSII in selected adult and pediatric patients with type 1 diabetes unable to meet glycemic goals with intensive insulin injection therapy significantly improved glucose control. In all subjects using SAPT, A1C levels fell rapidly from baseline to 3 months and remained significantly lower than among subjects in the SMBG+MDI group for 1 year. A distinguishing feature of the STAR 3 study was its stepwise protocol for systematizing education and self-management support using Web-based training modules and therapy management software. The demonstrated strengths of this education protocol recommend it as a model for implementing SAPT in the broader population of patients with type 1 diabetes who have not achieved their glycemic goals with optimized MDI therapy.

Telehealth-assisted care coordination of older veterans with type 2 diabetes lowers coronary heart disease risk despite clinical inertia

BACKGROUND

The purpose of this study was to determine the impact of a telehealth care coordination (T-Care) program on coronary heart disease (CHD) risk in older adults with type 2 diabetes (T2D).

METHODS

Forty-one patients with T2D, 68.7 (±8.9) years old, were enrolled in the T-Care program and followed up for 2 years. Data were collected on blood pressure (BP), lipids, and medications. CHD risk or Framingham risk score (FRS) was estimated by using the calculation for 10-year CHD risk based on the risk estimates derived from the experience of the Framingham Heart Study. Clinical inertia was defined as the lack of dose adjustment or new medication for BP or lipid management when appropriate, per standard-of-care guidelines.

RESULTS

After 2 years of T-Care intervention, significant reductions were demonstrated in FRS (23.4 ± 13.5 to 18.2 ± 10.4, P = 0.007), systolic BP (140 ± 22.7 to 128.2 ± 18.5 mm Hg, P = 0.05), and diastolic BP (74 ± 13.8 to 68.7 ± 13.9 mm Hg, P = 0.07), but not low-density lipoprotein (LDL) cholesterol (100.2 ± 30.1 to 91.2 ± 26.6 mg/dL, P = 0.7). Clinical inertia for lipids was found in 17.1% of our patients; only those without clinical inertia showed significant reduction in the LDL cholesterol component of the FRS. In contrast, clinical inertia for BP was documented in 12.2% of our patients, but reduction in the BP component of the FRS was independent of the presence of clinical inertia.

CONCLUSION

Participation in a T-Care program may lead to significantly reduced CHD risk among older patients with T2D, despite clinical inertia.

Telephone follow-up to improve glycaemic control in patients with Type 2 diabetes: systematic review and meta-analysis of controlled trials

OBJECTIVE

To examine the impact of telephone follow-up interventions on glycaemic control in patients with Type 2 diabetes.

METHODS

This was a systematic review and meta-analysis of randomized controlled trials using The Cochrane Library, including the Cochrane central register of controlled trials; MEDLINE, EMBASE, PsycINFO and CINHAL, together with citation searching. The included studies were randomized controlled trials examining the effect of a telephone follow-up intervention on glycaemic control in patients with Type 2 diabetes. All the included trials were subject to critical appraisal. Data were extracted on study design, characteristics of patients, exact nature of the telephone intervention and details of comparison. Pooled standardized effects were calculated for the primary outcome. Glycaemic control was measured by HbA(1c) .

RESULTS

HbA(1c) levels reported in the reviewed studies were pooled using random effects models. The standardized effect of telephone follow-up was equivocal, with endpoint data showing weighted mean differences of -0.44 (95% CI -0.93 to 0.06) (Z = -1.72, P=0.08) in favour of the telephone follow-up intervention. Subgroup analysis of more intensive interventions (interactive follow-up with health professional plus automated follow-up or non-interactive follow-up) showed (n=1057) a significant benefit in favour of the treatment group, with a standardized mean difference of -0.84 (95% CI -1.67 to 0.0) (Z=1.97, P=0.05), indicating that more intensive (targeted) modes of follow-up may have better effects on glycaemic control.

CONCLUSIONS

The analysis suggested that telephone follow-up interventions following a more intensive targeted approach could have a positive impact on glycaemic control for Type 2 diabetes.

Mobile interventions for severe mental illness: design and preliminary data from three approaches

Mobile devices can be used to deliver psychosocial interventions, yet there is little prior application in severe mental illness. We provide the rationale, design, and preliminary data from 3 ongoing clinical trials of mobile interventions developed for bipolar disorder or schizophrenia. Project 1 used a personal digital assistant to prompt engagement in personalized self-management behaviors based on real-time data. Project 2 employed experience sampling through text messages to facilitate case management. Project 3 was built on group functional skills training for schizophrenia by incorporating between-session mobile phone contacts with therapists. Preliminary findings were of minimal participant attrition, and no broken devices; yet, several operational and technical barriers needed to be addressed. Adherence was similar to that reported in nonpsychiatric populations, with high participant satisfaction. Therefore, mobile devices seem feasible and acceptable in augmenting psychosocial interventions for severe mental illness, with future research in establishing efficacy, cost effectiveness, and ethical and safety protocols.

Patients' and staffs' experiences of an automated telephone weather forecasting service

OBJECTIVES

Patients with chronic obstructive pulmonary disease (COPD) have recently been offered severe weather warnings and medication reminders using an automated telephone service and interactive voice recognition technology. Our aim was to explore patients' and health care staffs' perceptions and experiences of the technologies, their contribution to the management of COPD and implementation issues.

METHODS

Qualitative semi-structured telephone interviews were undertaken with 18 patients and six staff from five primary care centres in the Bradford area, England. Interview transcripts were thematically analysed.

RESULTS

Patients considered the telephone service was an appropriate way to deliver information but there was some variation in perceived usefulness. Many patients praised the service, valuing reassurance and medication reminders, but others were indifferent and even critical. Criticism tended to reflect scepticism over the reliability of weather forecasts information rather than the automated telephone service itself. There was limited impact on the management strategies of patients apart from some patients ordering medication. Primary care staff considered the service a success but some felt that it lacked participation by hard-to-reach groups (non-English speaking, mild COPD patients). Our concerns about the resource implications of successful implementation were also raised.

CONCLUSIONS

An automated telephone service was generally acceptable to patients but changes in COPD management were limited, possibly because the patients already had a good understanding of their condition and self-management strategies. Implications for practice include the need for strategies to target hard-to-reach groups which may need more resources.

Effectiveness of IT-based diabetes management interventions: a review of the literature

BACKGROUND

Information technology (IT) is increasingly being used in general practice to manage health care including type 2 diabetes. However, there is conflicting evidence about whether IT improves diabetes outcomes. This review of the literature about IT-based diabetes management interventions explores whether methodological issues such as sample characteristics, outcome measures, and mechanisms causing change in the outcome measures could explain some of the inconsistent findings evident in IT-based diabetes management studies.

METHODS

Databases were searched using terms related to IT and diabetes management. Articles eligible for review evaluated an IT-based diabetes management intervention in general practice and were published between 1999 and 2009 inclusive in English. Studies that did not include outcome measures were excluded.

RESULTS

Four hundred and twenty-five articles were identified, sixteen met the inclusion criteria: eleven GP focussed and five patient focused interventions were evaluated. Nine were RCTs, five non-randomised control trials, and two single-sample before and after designs. Important sample characteristics such as diabetes type, familiarity with IT, and baseline diabetes knowledge were not addressed in any of the studies reviewed. All studies used HbA1c as a primary outcome measure, and nine reported a significant improvement in mean HbA1c over the study period; only two studies reported the HbA1c assay method. Five studies measured diabetes medications and two measured psychological outcomes. Patient lifestyle variables were not included in any of the studies reviewed. IT was the intervention method considered to effect changes in the outcome measures. Only two studies mentioned alternative possible causal mechanisms.

CONCLUSION

Several limitations could affect the outcomes of IT-based diabetes management interventions to an unknown degree. These limitations make it difficult to attribute changes solely to such interventions.