Diabetes connect: an evaluation of patient adoption and engagement in a web-based remote glucose monitoring program

Improving Diabetes Equity and Advancing Care (IDEA) to optimize team-based care at a safety-net health system for Black and Latine patients living with diabetes: study protocol for a sequential, multiple assignment, randomized trial

BACKGROUND

Diabetes is the eighth leading cause of death in the USA. Inequities driven by structural racism and systemic oppression have led to racial/ethnic disparities in diabetes prevalence, diagnosis, and treatment. Diabetes-self management training (DSMT), remote glucose monitoring (RGM), and tailored support from a community health worker (CHW) have the potential to improve outcomes. This study will examine the implementation of these interventions in a safety-net healthcare setting.

METHODS

Using implementation science and racial equity principles, this study aims to (1) evaluate the appropriateness; (2) measure fidelity; and (3) compare the effectiveness of varying the combination and sequence of three interventions. An exploratory aim will measure sustainability of intervention adherence and uptake. This mixed-methods trial employs a sequential, multiple assignment randomized trial (SMART) design, patient focus group discussions, and staff interviews. Eligible Black/Latine patients will be recruited using patient lists extracted from the electronic medical record system. After a detailed screening process, eligible patients will be invited to attend an in-person enrollment appointment. Informed consent will be obtained and patients will be randomized to either DSMT or RGM. At 6 months, patients will complete two assessments (diabetes empowerment and diabetes-related distress), and HbA1c values will be reviewed. "Responders" will be considered those who have an HbA1c that has improved by at least one percentage point. "Responders" remain in their first assigned study arm. "Nonresponders" will be randomized to either switch study arms or be paired with a CHW. At 6 months participants will complete two assessments again, and their HbA1c will be reviewed. Twelve patient focus groups, two for each intervention paths, will be conducted along with staff interviews.

DISCUSSION

This study is the first, to our knowledge, that seeks to fill critical gaps in our knowledge of optimal sequence and combinations of interventions to support diabetes management among Black and Latine patients receiving care at a safety-net hospital. By achieving the study aims, we will build the evidence for optimizing equitable diabetes management and ultimately reducing racial and ethnic healthcare disparities for patients living in disinvested urban settings.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT06040463. Registered on September 7, 2023.

Can screen-time help? An analysis of usage of patient engagement technology following colorectal surgery

BACKGROUND

Patient engagement technologies (PETs) guide patients through the perioperative period. We aimed to investigate the levels of patient engagement with PETs through the peri-operative period and its impact on clinical outcomes.

METHODS

Retrospective cohort study of patients undergoing elective colorectal surgery from 2018 to 2022. Outcomes were length of stay, readmissions, and complications within 30 days of index hospitalization.

RESULTS

359 (89.1%) patients activated the PET. Patients completed a median of 7 surveys, 2 in-hospital health-checks, and 1 post-discharge health-check. Median LOS was 3 days, 57 (14.1%) patients were readmitted, and 56 (13.9%) had a complication. Patients who completed no surveys had longer LOS than those who completed 2 or more. Patients who were readmitted and had post-operative complications completed significantly fewer surveys and post-discharge health-checks. Completion of surveys in more phases was associated with shorter LOS and lower readmission rates. Completion of more post-discharge health-checks was associated with lower complication rate.

CONCLUSIONS

The use of PETs improves patient outcomes and experiences in the perioperative period. Patients who engage more frequently with PETs have shorter LOS with lower readmission and post-operative complication rates.

Impact of a multi-disciplinary team-based care model for patients living with diabetes on health outcomes: a mixed-methods study

BACKGROUND

Individuals facing socioeconomic hardship experience higher than average rates of chronic disease, such as diabetes, with less access to evidence-based treatment. One solution to address these inequities is a team-based care (TBC) model, defined as one in which at least two providers work collaboratively with a patient and their caregiver(s) to make healthcare decisions. This paper seeks to describe the implementation of a TBC model within a safety-net healthcare setting and determine the extent to which it can be an effective, patient-centered approach to treating individuals with diabetes.

METHODS

Semi-structured interviews were conducted with staff (n = 15) and patients (n = 18). Clinical data were extracted from the electronic medical record of patients (n = 1,599) seen at a safety-net health system in Chicago, Illinois, United States. The mixed methods study was guided by implementation science and participatory research principles. Staff interviews were 60 min and covered patient care activities, work flow, perceived patient experience, and facilitators/barriers to care coordination. Patient interviews were 60 min and covered satisfaction, attitudes about diabetes management, quality of life, and technology. Patient interviews were co-analyzed by research staff and members of a patient advisory committee. Clinical data were collected at an index visit, two years prior and at one-year follow up (n = 1,599).

RESULTS

Four themes emerged from the interviews: (1) patients perceived the TBC model to be patient centered and of high quality; (2) technology can be an innovative tool, but barriers exist; (3) diabetes management is a complex process; and (4) staff communication enhances care coordination, but misinterpreting roles reduces care coordination. From pre-enrollment to the follow-up period, we found a statistically significant increase in missed visits, decrease in hemoglobin A1c (HbA1c), decrease in body mass index, and decrease in the percent of patients with high blood pressure. We found that each medical visit during the follow-up period was associated with an HbA1c decrease of 0.26 points.

CONCLUSIONS

A TBC model is a patient-centered approach to providing care to patients with complex health needs, such as diabetes, patients were satisfied with the care they were receiving, and the model was associated with an improvement in clinical outcomes.

Patient Portals as Facilitators of Engagement in Patients With Diabetes and Chronic Heart Disease: Scoping Review of Usage and Usability

BACKGROUND

Patient portals have the potential to improve care for chronically ill patients by engaging them in their treatment. These platforms can work, for example, as a standalone self-management intervention or a tethered link to treatment providers in routine care. Many different types of portals are available for different patient groups, providing various features.

OBJECTIVE

This scoping review aims to summarize the current literature on patient portals for patients with diabetes mellitus and chronic heart disease regarding usage behavior and usability.

METHODS

We conducted this review according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement for scoping reviews. We performed database searches using PubMed, PsycInfo, and CINAHL, as well as additional searches in reviews and reference lists. We restricted our search to 2010. Qualitative and quantitative studies, and studies using both approaches that analyzed usage behavior or usability of patient portals were eligible. We mapped portal features according to broad thematic categories and summarized the results of the included studies separately according to outcome and research design.

RESULTS

After screening, we finally included 85 studies. Most studies were about patients with diabetes, included patients younger than 65 years, and were conducted in the United States. Portal features were categorized into educational/general information, reminder, monitoring, interactivity, personal health information, electronic/personal health record, and communication. Portals mostly provided educational, monitoring, and communication-related features. Studies reported on usage behavior including associated variables, usability dimensions, and suggestions for improvement. Various ways of reporting usage frequency were identified. A noticeable decline in portal usage over time was reported frequently. Age was most frequently studied in association with portal use, followed by gender, education, and eHealth literacy. Younger age and higher education were often associated with higher portal use. In two-thirds of studies reporting on portal usability, the portals were rated as user friendly and comprehensible, although measurement and reporting were heterogeneous. Portals were considered helpful for self-management through positive influences on motivation, health awareness, and behavioral changes. Helpful features for self-management were educational/general information and monitoring. Barriers to portal use were general (eg, aspects of design or general usability), related to specific situations during portal use (eg, login procedure), or not portal specific (eg, user skills and preferences). Frequent themes were aspects of design, usability, and technology. Suggestions for improvement were mainly related to technical issues and need for support.

CONCLUSIONS

The current state of research emphasizes the importance of involving patients in the development and evaluation of patient portals. The consideration of various research designs in a scoping review is helpful for a deeper understanding of usage behavior and usability. Future research should focus on the role of disease burden, and usage behavior and usability among older patients.

Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review

BACKGROUND

Noncommunicable disease (NCD) management is critical for reducing attributable health burdens. Although health information technology (HIT) is a crucial strategy to improve chronic disease management, many health care systems have failed in implementing HIT. There has been a lack of research on the implementation process of HIT for chronic disease management.

OBJECTIVE

We aimed to identify the barriers and facilitators of HIT implementation, analyze how these factors influence the implementation process, and identify key areas for future action. We will develop a framework for understanding implementation determinants to synthesize available evidence.

METHODS

We conducted a systematic review to understand the barriers and facilitators of the implementation process. We searched MEDLINE, Cochrane, Embase, Scopus, and CINAHL for studies published between database inception and May 5, 2022. Original studies involving HIT-related interventions for NCD management published in peer-reviewed journals were included. Studies that did not discuss relevant outcome measures or did not have direct contact with or observation of stakeholders were excluded. The analysis was conducted in 2 parts. In part 1, we analyzed how the intrinsic attributes of HIT interventions affect the successfulness of implementation by using the intervention domain of the Consolidated Framework for Implementation Research (CFIR). In part 2, we focused on the extrinsic factors of HIT using an integrated framework, which was developed based on the CFIR and the levels of change framework by Ferlie and Shortell.

RESULTS

We identified 51 papers with qualitative, mixed-method, and cross-sectional methodologies. Included studies were heterogeneous regarding disease populations and HIT interventions. In part 1, having a relative advantage over existing health care systems was the most prominent intrinsic facilitator (eg, convenience, improvement in quality of care, and increase in access). Poor usability was the most noted intrinsic barrier of HIT. In part 2, we mapped the various factors of implementation to the integrated framework (the coordinates are shown as level of change-CFIR). The key barriers to the extrinsic factors of HIT included health literacy and lack of digital skills (individual-characteristics of individuals). The key facilitators included physicians' suggestions, cooperation (interpersonal-process), integration into a workflow, and adequate management of data (organizational-inner setting). The importance of health data security was identified. Self-efficacy issues of patients and organizational readiness for implementation were highlighted.

CONCLUSIONS

Internal factors of HIT and external human factors of implementation interplay in HIT implementation for chronic disease management. Strategies for improvement include ensuring HIT has a relative advantage over existing health care; tackling usability issues; and addressing underlying socioeconomic, interpersonal, and organizational conditions. Further research should focus on studying various stakeholders, such as service providers and administrative workforces; various disease populations, such as those with obesity and mental diseases; and various countries, including low- and middle-income countries.

Adherence to the Use of Home Telehealth Technologies and Emergency Room Visits in Veterans with Heart Failure

Background: Prior studies have posited poor patient adherence to remote patient monitoring as the reason for observed lack of benefits. Introduction: The purpose of this study was to examine the relationship between average adherence to the daily use of home telehealth (HT) and emergency room (ER) visits in Veterans with heart failure. Materials and Methods: This was a retrospective study using administrative data of Veterans with heart failure enrolled in Veterans Affairs (VA) HT Program in the first half of 2014. Zero-inflated negative binomial regression was used to determine which predictors affect the probability of having an ER visit and the number of ER visits. Results: The final sample size was 3,449 with most being white and male. There were fewer ER visits after HT enrollment (mean ± standard deviation of 1.85 ± 2.8) compared with the year before (2.2 ± 3.4). Patient adherence was not significantly associated with ER visits. Age and being from a racial minority group (not white or black) and belonging to a large HT program were associated with having an ER visit. Being in poorer health was associated with higher expected count of ER visits. Discussion: Subgroups of patients (e.g., with depression, sicker, or from a racial minority group) may benefit from added interventions to decrease ER use. Conclusions: This study found that adherence was not associated with ER visits. Reasons other than adherence should be considered when looking at ER use in patients with heart failure enrolled in remote patient monitoring programs.

Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE)-large electronically collected datasets, surveillance studies and individual patients' cases

BACKGROUND

A range of factors can reduce the effectiveness of treatment prescribed for the long-term management of chronic health conditions, such as growth disorders. In particular, prescription medications may not achieve the positive outcomes expected because approximately half of patients adhere poorly to the prescribed treatment regimen.

METHODS

Adherence to treatment has previously been assessed using relatively unreliable subjective methods, such as patient self-reporting during clinical follow-up, or counting prescriptions filled or vials returned by patients. Here, we report on a new approach, the use of electronically recorded objective evidence of date, time, and dose taken which was obtained through a comprehensive eHealth ecosystem, based around the easypod™ electromechanical auto-injection device and web-based connect software. The benefits of this eHealth approach are also illustrated here by two case studies, selected from the Finnish cohort of the easypod™ Connect Observational Study (ECOS), a 5-year, open-label, observational study that enrolled children from 24 countries who were being treated with growth hormone (GH) via the auto-injection device.

RESULTS

Analyses of data from 9314 records from the easypod™ connect database showed that, at each time point studied, a significantly greater proportion of female patients had high adherence (≥ 85%) than male patients (2849/3867 [74%] vs 3879/5447 [71%]; P < 0.001). Furthermore, more of the younger patients (< 10 years for girls, < 12 years for boys) were in the high adherence range (P < 0.001). However, recursive partitioning of data from ECOS identified subgroups with lower adherence to GH treatment ‒ children who performed the majority of injections themselves at an early age (~ 8 years) and teenagers starting treatment aged ≥ 14 years.

CONCLUSIONS

The data and case studies presented herein illustrate the importance of adherence to GH therapy and how good growth outcomes can be achieved by following treatment as described. They also show how the device, software, and database ecosystem can complement normal clinical follow-up by providing HCPs with reliable information about patient adherence between visits and also providing researchers with real-world evidence of adherence and growth outcomes across a large population of patients with growth disorders treated with GH via the easypod™ device.

The emerging clinical role of wearables: factors for successful implementation in healthcare

Wearable technologies promise to redefine assessment of health behaviors, yet their clinical implementation remains a challenge. To address this gap, two of the NIH’s Big Data to Knowledge Centers of Excellence organized a workshop on potential clinical applications of wearables. A workgroup comprised of 14 stakeholders from diverse backgrounds (hospital administration, clinical medicine, academia, insurance, and the commercial device industry) discussed two successful digital health interventions that involve wearables to identify common features responsible for their success. Seven features were identified including: a clearly defined problem, integration into a system of healthcare delivery, technology support, personalized experience, focus on end-user experience, alignment with reimbursement models, and inclusion of clinician champions. Health providers and systems keen to establish new models of care inclusive of wearables may consider these features during program design. A better understanding of these features is necessary to guide future clinical applications of wearable technology.

Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management

Importance

Patients will decide whether to adopt remote digital monitoring (RDM) for diabetes by weighing its health benefits against the inconvenience it may cause.

Objective

To identify the minimum effectiveness patients report they require to adopt 36 different RDM scenarios.

Design, Setting, and Participants

This survey study was conducted among adults with type 1 or type 2 diabetes living in 30 countries from February to July 2019.

Exposures

Survey participants assessed 3 randomly selected scenarios from a total of 36. Scenarios described different combinations of digital monitoring tools (glucose, physical activity, food monitoring), duration and feedback loops (feedback in consultation vs real-time telefeedback by a health care professional or by artificial intelligence), and data handling modalities (by a public vs private company), reflecting different degrees of RDM intrusiveness in patients' personal lives.

Main Outcomes and Measures

Participants assessed the minimum effectiveness for 2 diabetes-related outcomes (reducing hypoglycemic episodes and preventing ophthalmologic complications) for which they would adopt each RDM (from much less effective to much more effective than their current monitoring).

Results

Of 1577 individuals who consented to participate, 1010 (64%; 572 [57%] women, median [interquartile range] age, 51 [37-63] years, 524 [52%] with type 1 diabetes) assessed at least 1 vignette. Overall, 2860 vignette assessments were collected. In 1025 vignette assessments (36%), participants would adopt RDM only if it was much more effective at reducing hypoglycemic episodes compared with their current monitoring; in 1835 assessments (65%), participants would adopt RDM if was just as or somewhat more effective. The main factors associated with required effectiveness were food monitoring (β = 0.32; SE, 0.12; P = .009), real-time telefeedback by a health care professional (β = 0.49; SE, 0.15; P = .001), and perceived intrusiveness (β = 0.36; SE, 0.06; P < .001). Minimum required effectiveness varied among participants; 34 of 36 RDM scenarios (94%) were simultaneously required to be just as or less effective by at least 25% of participants and much more effective by at least 25% of participants. Results were similar for participant assessments of scenarios regarding the prevention of ophthalmologic complications.

Conclusions and Relevance

The findings of this study suggest that patients require greater health benefits to adopt more intrusive RDM modalities, food monitoring, and real-time feedback by a health care professional. Patient monitoring devices should be designed to be minimally intrusive. The variability in patients' requirements points to a need for shared decision-making.

Smart, Remote, and Targeted Health Care Facilitation Through Connected Health: Qualitative Study

Background

Societies around the world are aging. Widespread aging creates problems for social services and health care practices. In this light, research on connected health (CH) is becoming essential. CH refers to a variety of technological measures that allow health care to be provided remotely with the aim of increasing efficiency, cost-effectiveness, and satisfaction on the part of health care recipients. CH is reshaping health care’s direction to be more proactive, more preventive, and more precisely targeted and, thus, more effective. CH has been demonstrated to have great value in managing and preventing chronic diseases, which create huge burdens on health care and social services. In short, CH provides promising solutions to diseases and social challenges associated with aging populations. However, there are many barriers that need to be overcome before CH can be successfully and widely implemented.

Objective

The research question of this study is as follows: How can CH facilitate smart, remote, and targeted health care? The objective is to identify how health care can be managed in more comprehensive ways, such as by providing timely, flexible, accessible, and personalized services to preserve continuity and offer high-quality seamless health care.

Methods

A qualitative approach was used based on 60 multistage, semistructured stakeholder interviews.

Results

The results can be divided into two functions of CH: ecosystem and platform. On the one hand, the interviews enabled the authors to develop a stakeholder classification and interaction diagram. These stakeholders interacted sequentially to provide technology-based content to end users. On the other hand, interviewees reflected on how CH serves as a platform to address remote monitoring and patient self-management. In the Discussion section, three innovation strategies are discussed to reflect the manner in which CH promotes smart, timely, and precise health care.

Conclusions

This study indicates that it is essential to continually revise CH business models, given the ongoing and rapid changes in technology across groups of CH stakeholders. We also found that global trends toward smart, timely, and precise health care shape what individuals expect from products and services, providing firms with unique opportunities for growth.

Optimal Use of Diabetes Devices: Clinician Perspectives on Barriers and Adherence to Device Use

BACKGROUND

Insulin pumps and continuous glucose monitors (CGM) can improve glycemic control for individuals with type 1 diabetes (T1D). Device uptake rates continue to show room for improvement, and consistent adherence is needed to achieve better outcomes. Diabetes health care providers have important roles to play in promoting device use and adherence.

METHODS

We surveyed 209 clinicians who treat people with type 1 diabetes to examine perceptions of barriers to device uptake, attitudes toward diabetes technology, and resources needed for clinicians to improve device uptake. We compared findings with our survey of adults with T1D.

RESULTS

Younger clinicians treated more patients using insulin pumps ( r = -.26, P < .001) and CGM ( r = -.14, P = .02), and had more positive attitudes about diabetes technology ( r = -.23, P = .001). The most frequently endorsed modifiable barriers were perceptions that patients dislike having the device on their body (73% pump; 63% CGM), dislike the alarms (61% CGM), and do not understand what to do with device information or features (40% pump; 46% CGM). Clinicians wanted lower cost and better insurance coverage for their patients, and they recommended counseling and education to help address barriers and improve adherence to devices.

CONCLUSION

Clinicians perceive many barriers to their patients initiating and adhering to diabetes devices. Findings highlight opportunities for intervention to improve clinician-patient communication around device barriers to help address them.

Enablers and barriers to using two-way information technology in the management of adults with diabetes: A descriptive systematic review

Background This systematic review aimed to explore the enablers and barriers faced by adults with diabetes using two-way information communication technologies to support diabetes self-management. Methods Relevant literature was obtained from five databases using search strategies combining four major constructs: adults with diabetes, biomedical technology, communication technology and patient utilisation. Results Of 8430 unique articles identified, 48 were included for review. Risk of bias was assessed using either the Newcastle-Ottowa or Cochrane risk of bias assessment tools. Seventy-one percent of studies were of cohort design with the majority of studies assessed at high or unclear risk of bias. Consistently identified barriers included poorly designed interfaces requiring manual data entry and systems that lacked functionalities valued by patients. Commonly cited enablers included access to reliable technology, highly automated data entry and transmission, graphical display of data with immediate feedback, and supportive health care professionals and family members. Conclusions People with diabetes face a number of potentially modifiable barriers in using technology to support their diabetes management. In order to address these barriers, end users should be consulted in the design process and consideration given to theories of technology adoption to inform design and implementation. Systems should be designed to solve clinical or behavioural problems that are identified by patients as priorities. Technology should be as automated, streamlined, mobile, low cost and integrated as possible in order to limit the burden of usage for the patient and maximise clinical usefulness.

mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis

BACKGROUND

Mobile health (mHealth) interventions are improving the medication adherence of adults with type 2 diabetes mellitus (T2DM), but few studies examine how users experience these interventions. Therefore, we used a mixed-methods approach to understand how T2DM users experience a text messaging and interactive voice response (IVR)-delivered medication adherence intervention called MEssaging for Diabetes (MED).

METHODS

Adults with T2DM used MED as part of a 3-month pilot study. MED sends daily tailored text messages addressing adherence barriers, daily assessment text messages asking about adherence, and weekly tailored IVR calls providing adherence feedback, encouragement, and questions to facilitate problem solving. Sixty participants completed feedback interviews. We used a mixed-methods approach to understand their experience, examining associations between participants' characteristics and their feedback.

RESULTS

Participants who completed feedback interviews were on average 50.0 ± 10.1 years old; 65% female, 62% non-white; 15% had less than a high school education, 70% had annual incomes less than $20K; and average hemoglobin A1c was 8.0% ± 1.9%. Participants rated each intervention element favorably; common reasons for MED's helpfulness included receiving novel information about diabetes medications, emotional support, and reminders to take medication. People who were younger and more recently diagnosed with T2DM had more favorable experiences using MED. In general, users valued text messages more than IVR calls.

CONCLUSIONS

Consideration of the user experience is critical for developing engaging mHealth interventions. User feedback reveals what mHealth elements have the most value and why, which users to target, and how to optimize an intervention's utility and appeal.

Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies

With increased access to high-speed Internet and smartphone devices, patients have started to use mobile applications (apps) for various health needs. These mobile apps are now increasingly used in integration with telemedicine and wearables to support fitness, health education, symptom tracking, and collaborative disease management and care coordination. More recently, evidence (especially around remote patient monitoring) has started to build in some chronic diseases, and some of the digital health technologies have received approval from the Food and Drug Administration. With the changing healthcare landscape and push for value-based care, adoption of these digital health initiatives among providers is bound to increase. Although so far there is a dearth of published evidence about effectiveness of these apps in gastroenterology care, there are ongoing trials to determine whether remote patient monitoring can lead to improvement in process metrics or outcome metrics for patients with chronic gastrointestinal diseases.

Does availability of reliable home blood glucose data at diabetes appointments improve glycemia?

OBJECTIVE

To establish the prevalence of reliable self-monitored blood glucose (r-SMBG) data at office visits for diabetes and to determine whether r-SMBG is associated with changes in glycemic control and other clinical parameters.

METHODS

We conducted a chart review of 500 patients followed in an Endocrinology Faculty/Commercial Insurance Practice (FP) or a Managed Medicare/Medicaid Diabetes Clinic (MDC). Follow-up visits for patients with type 1 or type 2 diabetes from January 1, 2012 to June 30, 2012 were analyzed for anthropometric data, creatinine (Cr), glomerular filtration rate (GFR), low-density lipoprotein cholesterol (LDL-C), medications, hemoglobin A1C (A1C), change in A1C from the previous visit (ΔA1C), and availability of r-SMBG data at the visit.

RESULTS

Our sample was composed of 215 MDC patients (43%) and 285 FP patients (57%). Overall, 151 patients (30%) provided r-SMBG data at their visit, with no difference between MDC or FP patients. Mean A1C at MDC was 9.1%, while mean A1C at FP was 7.9% (P<.001). MDC patients with A1C >8.0% demonstrated an A1C reduction of 1.2% if they provided r-SMBG, compared to an increase of 0.1% for MDC patients who did not (P<.05). Providing r-SMBG did not affect A1C in FP patients in any A1C range.

CONCLUSION

Only a minority of diabetes patients, mostly insulin-treated, made r-SMBG data available to their providers. Insulin-requiring Managed Medicare/Medicaid patients with poorly controlled diabetes had an A1c reduction associated with r-SMBG. Prospective studies are needed to determine whether this patient population may be more likely to benefit from r-SMBG at their visits.

Patterns of User Engagement with Mobile- and Web-Delivered Self-Care Interventions for Adults with T2DM: A Review of the Literature

Technology-delivered interventions can improve the health behaviors and clinical outcomes of persons with diabetes, but only if end users engage with these interventions. To summarize the current knowledge on engagement with technology-based interventions, we conducted a review of recent mobile- and web-delivered intervention studies for adults with type 2 diabetes published from 2011 to 2015. Among 163 identified studies, 24 studies satisfied our inclusion criteria. There was substantial variation in how intervention engagement was reported across studies. Engagement rates were lower among interventions with a longer duration, and engagement decreased over time. In several studies, older age and lower health literacy were associated with less engagement, and more engagement was associated with intervention improvement in at least one outcome, including glycemic control. Future technology-based intervention studies should report on engagement, examine and report on associations between user characteristics and engagement, and aim to standardize how this is reported, particularly in longer trials.

Factors influencing the adoption of self-management solutions: an interpretive synthesis of the literature on stakeholder experiences

Background

In a research context, self-management solutions, which may range from simple book diaries to complex telehealth packages, designed to facilitate patients in managing their long-term conditions, have often shown cost-effectiveness, but their implementation in practice has frequently been challenging.

Methods

We conducted an interpretive qualitative synthesis of relevant articles identified through systematic searches of bibliographic databases in July 2014. We searched PubMed (Medline/NLM), Web of Science, LISTA (EBSCO), CINAHL, Embase and PsycINFO. Coding and analysis was inductive, using the framework method to code and to categorise themes. We took a sensemaking approach to the interpretation of findings.

Results

Fifty-eight articles were selected for synthesis. Results showed that during adoption, factors identified as facilitators by some were experienced as barriers by others, and facilitators could change to barriers for the same adopter, depending on how adopters rationalise the solutions within their context when making decisions about (retaining) adoption. Sometimes, when adopters saw and experienced benefits of a solution, they continued using the solution but changed their minds when they could no longer see the benefits. Thus, adopters placed a positive value on the solution if they could constructively rationalise it (which increased adoption) and attached a negative rationale (decreasing adoption) if the solution did not meet their expectations. Key factors that influenced the way adopters rationalised the solutions consisted of costs and the added value of the solution to them and moral, social, motivational and cultural factors.

Conclusions

Considering ‘barriers’ and ‘facilitators’ for implementation may be too simplistic. Implementers could instead iteratively re-evaluate how potential facilitators and barriers are being experienced by adopters throughout the implementation process, to help adopters to retain constructive evaluations of the solution. Implementers need to pay attention to factors including (a) cost: how much resource will the intervention cost the patient or professional; (b) moral: to what extent will people adhere because they want to be ‘good’ patients and professionals; (c) social: the expectations of patients and professionals regarding the interactive support they will receive; (d) motivational: motivations to engage with the intervention and (e) cultural: how patients and professionals learn and integrate new skills into their daily routines, practices and cultures.

The effect of technology-based interventions on pain, depression, and quality of life in patients with cancer: a systematic review of randomized controlled trials

Background

The burden of cancer is increasing; projections over the next 2 decades suggest that the annual cases of cancer will rise from 14 million in 2012 to 22 million. However, cancer patients in the 21st century are living longer due to the availability of novel therapeutic regimens, which has prompted a growing focus on maintaining patients’ health-related quality of life. Telehealth is increasingly being used to connect with patients outside of traditional clinical settings, and early work has shown its importance in improving quality of life and other clinical outcomes in cancer care.

Objective

The aim of this study was to systematically assess the literature for the effect of supportive telehealth interventions on pain, depression, and quality of life in cancer patients via a systematic review of clinical trials.

Methods

We searched PubMed, EMBASE, Google Scholar, CINAHL, and PsycINFO in July 2013 and updated the literature search again in January 2015 for prospective randomized trials evaluating the effect of telehealth interventions in cancer care with pain, depression, and quality of life as main outcomes. Two of the authors independently reviewed and extracted data from eligible randomized controlled trials, based on pre-determined selection criteria. Methodological quality of studies was assessed by the Cochrane Collaboration risk of bias tool.

Results

Of the 4929 articles retrieved from databases and relevant bibliographies, a total of 20 RCTs were included in the final review. The studies were largely heterogeneous in the type and duration of the intervention as well as in outcome assessments. A majority of the studies were telephone-based interventions that remotely connected patients with their health care provider or health coach. The intervention times ranged from 1 week to 12 months. In general, most of the studies had low risk of bias across the domains of the Cochrane Collaboration risk of bias tool, but most of the studies had insufficient information about the allocation concealment domain. Two of the three studies focused on pain control reported significant effects of the intervention; four of the nine studies focus on depression reported significant effects, while only the studies that were focused on quality of life reported significant effects.

Conclusions

This systematic review demonstrates the potential of telehealth interventions in improving outcomes in cancer care. However, more high-quality large-sized trials are needed to demonstrate cogent evidence of its effectiveness.

"Real-world" practical evaluation strategies: a review of telehealth evaluation

Background

Currently, the increasing interest in telehealth and significant technological breakthroughs of the past decade create favorable conditions for the widespread adoption of telehealth services. Therefore, expectations are high that telehealth can help alleviate prevailing challenges in health care delivery. However, in order to translate current research to policy and facilitate adoption by patients and health care providers, there is need for compelling evidence of the effectiveness of telehealth interventions. Such evidence is gathered from rigorously designed research studies, which may not always be practical in many real-world settings.

Objective

Our aim was to summarize current telehealth evaluation strategies and challenges and to outline practical approaches to conduct evaluation in real-world settings using one of our previously reported telehealth initiatives, the Diabetes Connect program, as a case study.

Methods

We reviewed commonly used current evaluation frameworks and strategies, as well as best practices based on successful evaluative efforts to date to address commonly encountered challenges in telehealth evaluation. These challenges in telehealth evaluation and commonly used frameworks are described relevant to the evaluation of Diabetes Connect, a 12-month Web-based blood glucose monitoring program.

Results

Designers of telehealth evaluation frameworks must give careful consideration to the elements of planning, implementation, and impact assessment of interventions. Evaluating performance at each of these phases is critical to the overall success of an intervention. Although impact assessment occurs at the end of a program, our review shows that it should begin at the point of problem definition. Critical to the success of an evaluative strategy is early planning that involves all stakeholders to identify the overall goals of the program and key measures of success at each phase of the program life cycle. This strategy should enable selection of an appropriate evaluation strategy and measures to aid in the ongoing development and implementation of telehealth and provide better evidence of program impact.

Conclusions

We recommend a pragmatic, multi-method, multi-phase approach to telehealth evaluation that is flexible and can be adapted to the characteristics and challenges unique to each telehealth program.

A systematic review of electronic portal usage among patients with diabetes

The objectives of this review were (1) to examine characteristics associated with enrollment and utilization of portals among patients with diabetes and (2) to identify barriers and facilitators of electronic patient portal enrollment and utilization. PubMed and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were systematically searched for papers reporting original research using quantitative or qualitative methods on characteristics, barriers, and facilitators associated with portal enrollment and utilization among patients with diabetes in the United States. The search was limited to articles published between February 1, 2005 (the date of the national symposium on personal health records) and January 1, 2014. Sixteen articles were identified. Of these, nine were quantitative, three were qualitative, and four used mixed-methods. Several demographic characteristics, having better-controlled diabetes, and providers who engaged in and encouraged portal use were associated with increased portal enrollment and utilization. Barriers to portal enrollment included a lack of patient (1) capacity, (2) desire, and (3) awareness of portal/portal functions. Barriers to portal utilization included (1) patient capacity, (2) lack of provider and patient buy-in to portal benefits, and (3) negative patient experiences using portals. Facilitators of portal enrollment and utilization were providers and family members recommending and engaging in portal use. Improved usability, increased access, educating patients how to use and benefit from portals, and greater endorsement by providers and family members might increase portal enrollment and utilization. As more providers and hospitals offer portals, addressing barriers and leveraging facilitators may help patients with diabetes achieve potential benefits.

The future of Connected Health in preventive medicine

Over the last decade, Connected Health (CH) has shown great value in the management of chronic disease (CD), but has limited application in preventing these diseases that remain a huge burden to the society. Technological advances have made determination of genetic predisposition to disease possible and have gained wide use in oncology to develop more effective and individualized treatment strategies-Personalized Medicine. There is growing interest in the application of these genetic tests in predicting risk for complex genetic diseases; even, direct-to-consumer tests are increasingly becoming available and affordable. CH has shown great potential in collecting phenotypic data, which can be overlaid on genomic data to deliver a more precise and personalized preventive care that better engages patients. The goal of a CH program that uses genetic data would be to monitor individuals' risk factors and predict the onset of CD. This prediction would be coupled with coaching to delay or prevent the onset of disease. However, the challenge remains that many CDs are due to complex interaction between genes and modifiable environmental risk factors that are still under-studied.

The impact of using mobile-enabled devices on patient engagement in remote monitoring programs

BACKGROUND

Different types of data transmission technologies are used in remote monitoring (RM) programs. This study reports on a retrospective analysis of how participants engage, based on the type of data transfer technology used in a blood pressure (BP) RM program, and its potential impact on RM program design and outcomes.

METHODS

Thirty patients, aged 23-84 years (62 ± 14 years), who had completed at least 2 months in the program and were not participating in any other clinical trial were identified from the Remote Monitoring Data Repository. Half of these patients used wireless-based data transfer devices [wireless-based device (WBD)] while the other half used telephone modem-based data transfer devices [modem-based device (MBD)]. Participants were matched by practice and age. Engagement indices, which include frequency of BP measurements, frequency of data uploads, time to first BP measurement, and time to first data upload, were compared in both groups using the Wilcoxon-Mann-Whitney two-sample rank-sum test. Help desk call data were analyzed by Chi square test.

RESULTS

The frequency of BP measurements and data uploads was significantly higher in the WBD group versus the MBD group [median = 0.66 versus 0.2 measurements/day (p = .01) and 0.46 versus 0.01 uploads/day (p < .001), respectively]. Time to first upload was significantly lower in the WBD group (median = 4 versus 7 days; p = .02), but time to first BP measurement did not differ between the two groups (median = 2 versus 1 day; p = .98).

CONCLUSION

Wireless transmission ensures instantaneous transmission of readings, providing clinicians timely data to intervene on. Our findings suggest that mobile-enabled wireless technologies can positively impact patient engagement, outcomes, and operational workflow in RM programs.