Trial to examine text message-based mHealth in emergency department patients with diabetes (TExT-MED): a randomized controlled trial

Non-emergency department (ED) interventions to reduce ED utilization: a scoping review

BACKGROUND

Emergency department (ED) crowding is a global burden. Interventions to reduce ED utilization have been widely discussed in the literature, but previous reviews have mainly focused on specific interventions or patient groups within the EDs. The purpose of this scoping review was to identify, summarize, and categorize the various types of non-ED-based interventions designed to reduce unnecessary visits to EDs.

METHODS

This scoping review followed the JBI Manual for Evidence Synthesis and the PRISMA-SCR checklist. A comprehensive structured literature search was performed in the databases MEDLINE and Embase from 2008 to March 2024. The inclusion criteria covered studies reporting on interventions outside the ED that aimed to reduce ED visits. Two reviewers independently screened the records and categorized the included articles by intervention type, location, and population.

RESULTS

Among the 15,324 screened records, we included 210 studies, comprising 183 intervention studies and 27 systematic reviews. In the primary studies, care coordination/case management or other care programs were the most commonly examined out of 15 different intervention categories. The majority of interventions took place in clinics or medical centers, in patients' homes, followed by hospitals and primary care settings - and targeted patients with specific medical conditions.

CONCLUSION

A large number of studies have been published investigating interventions to mitigate the influx of patients to EDs. Many of these targeted patients with specific medical conditions, frequent users and high-risk patients. Further research is needed to address other high prevalent groups in the ED - including older adults and mental health patients (who are ill but may not need the ED). There is also room for further research on new interventions to reduce ED utilization in low-acuity patients and in the general patient population.

Design and evaluation of collaborative decision-making application for patient care in the emergency department

Background and Aims

Collaboration has become a crucial element of effective healthcare delivery in the emergency department (ED). In high-pressure environments, healthcare providers can prioritize patients by consulting with other specialists to gain diverse perspectives and arrive at a shared understanding of the best course of action. It was conducted for the purpose of designing and evaluating the collaborative decision-making application for patient care in the ED.

Methods

The present applied research study was conducted between April 1, 2021 and May 31, 2023 at Imam Reza Hospital of Tabriz University of Medical Sciences. The study was conducted in three phases: exploration, development, and evaluation, utilizing modern technologies such as Flutter and Node.js to design and program the application. The effectiveness of the system was evaluated using established measures, including the think-aloud protocol, user experience questionnaire, and Likert-scale questionnaires developed by Ghadri et al.

Results

The average scale for attractiveness was 2.03, perspicuity was 2.90, efficiency was 2.40, dependability was 1.93, stimulation was 2.48, and novelty was 2.78. Additionally, 71% of physicians gave a very good rating to the accessibility of necessary information at any time, motivation to use the system for accessing information, usefulness of the system compared to the time spent using it throughout the day. Furthermore, 57% of physicians gave a very positive rating to sharing information and knowledge, ease of using the search function and accessing the system, user control and monitoring, free access to the system, and support from colleagues and system users.

Conclusion

The study suggests that introducing Information and Communication Technology such as medical apps can improve healthcare delivery by streamlining patient care, promoting effective teamwork, and reducing medical errors and treatment delays.

Digitally Delivered Interventions to Improve Nutrition Behaviors Among Resource-Poor and Ethnic Minority Groups With Type 2 Diabetes: Systematic Review

BACKGROUND

Resource-poor individuals, such as those with a low income, are disproportionately affected by diabetes and unhealthy eating patterns that contribute to poor disease self-management and prognosis. Digitally delivered interventions have the potential to address some of the barriers to healthy eating experienced by this group. However, little is known about their effectiveness in disadvantaged populations.

OBJECTIVE

This systematic review is conducted to assess the effectiveness of digitally delivered interventions in improving nutritional behaviors and nutrition-related health outcomes among disadvantaged people with type 2 diabetes (T2D).

METHODS

MEDLINE complete, Global Health, Embase, CINAHL complete, Informit Health, IEEE Xplore, and Applied Science and Technology Source databases were searched for studies published between 1990 and 2022 on digitally delivered nutrition interventions for disadvantaged people with T2D. Two reviewers independently assessed the studies for eligibility and determined the study quality using the Cochrane Risk-of-Bias Assessment Tool. The Behavioral Change Technique Taxonomy V1 was used to identify behavior change techniques used in the design of interventions.

RESULTS

Of the 2434 identified records, 10 (0.4%), comprising 947 participants, met the eligibility criteria and were included in the review. A total of 2 digital platforms, web and messaging services (eg, SMS text messaging interventions or multimedia messaging service), were used to deliver interventions. Substantial improvements in dietary behaviors were reported in 5 (50%) of the 10 studies, representing improvements in healthier food choices or increases in dietary knowledge and skills or self-efficacy. Of the 10 studies, 7 (70%) examined changes in blood glucose levels, of which 4 (57%) out of 7 achieved significant decreases in hemoglobin A1C levels ranging from 0.3% to 1.8%. The most frequently identified behavior change techniques across all studies were instruction on how to perform the behavior, information about health consequences, and social support.

CONCLUSIONS

This review provided some support for the efficacy of digitally delivered interventions in improving healthy eating behaviors in disadvantaged people with T2D, an essential dietary prerequisite for changes in clinical metabolic parameters. Further research is needed into how disadvantaged people with T2D may benefit more from digital approaches and to identify the specific features of effective digital interventions for supporting healthy behaviors among disadvantaged populations.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020149844; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=149844.

Telehealth Technologies in Diabetes Self-management and Education

BACKGROUND

The coronavirus pandemic of 2019 (COVID-19) forced worldwide recognition and implementation of telehealth as a means of providing continuity of care by varied health care institutions. Diabetes is a global health threat with rates that continue to accelerate, thereby causing an increased need for clinicians to provide diabetes care and education to keep up with demand. Utilizing technology to provide education via phone/smartphone, video/audio, web, text message, mobile apps, or a combination of these methods can help improve patient access and clinical outcomes, cut costs, and close gaps in care.

METHODS

While numerous publications have summarized the various tools and technologies available for capturing remote clinical data and their relevance to diabetes care and self-management, this review focuses on self-educational telehealth tools available for diabetes self-management, their advantages and disadvantages, and factors that need to be considered prior to implementation. Recent relevant studies indexed by PubMed were included.

RESULTS

The widespread use and popularity of phones/smartphones, tablets, computers, and the Internet by patients of all age groups, cultures, socioeconomic and geographic areas allow for increased outreach, flexibility, and engagement with diabetes education, either in combination or as an adjunct to traditional in-person visits. Demonstrated benefits of using health technologies for diabetes self-management education include improved lifestyle habits, reduced hemoglobin A1C levels, decreased health care costs, and better medication adherence. Potential drawbacks include lack of regulation, need for staff training on methodologies used, the requirement for patients to be tech savvy, privacy concerns, lag time with technology updates/glitches, and the need for more long-term research data on efficacy.

CONCLUSIONS

Telehealth technologies for diabetes self-education improve overall clinical outcomes and have come a long way. With increasing numbers of patients with diabetes, it is expected that more optimal and user-friendly methodologies will be developed to fully engage and help patients communicate with their physicians.

The Use of mHealth in Promoting Therapeutic Adherence: A Scoping Review

Nonadherence to therapy negatively impacts mortality and quality of life and results in suboptimal efficacy of treatment regimens, threats to patient safety, and increased healthcare costs for disease management. Mobile health solutions can offer users instruments that can promote therapeutic adherence. The objective of this review is to investigate the impact mobile health systems have on therapeutic adherence. Specifically, we want to map the main systems used, the functions implemented, and the different methods of adherence detection used. For this purpose, a scoping review was conducted. The following databases were consulted: PubMed, Cochrane Library, EBSCO (including APA PsycINFO, CINAHL Plus with Full Text, ERIC), including English-language studies published in the last 10 years (2012-2022). The main mobile health systems used are as follows: applications, automated messaging, interactive voice response, and mobile video games. The main features implemented to support medication management were as follows: reminders, self-monitoring instruments, educational support, and caregiver involvement. In conclusion, the use of interactive mobile health instruments intended for use by the patient and/or caregiver can improve objectively and subjectively detected therapeutic adherence. The use of these systems in the therapeutic pathway of users, with a special focus on people with comorbidities and in polypharmacy treatment, represents a challenge to improve caregiver health.

The Effectiveness of Telehealth Interventions on Medication Adherence Among Patients with Type 2 Diabetes: A Meta-Analysis

Objective: Diabetes mellitus (DM) is a global health issue with an increasing frequency across the world and is an important disease in which medication adherence is a priority component for disease management. Several interventions are implemented to increase medication adherence in patients with type 2 DM, and telehealth interventions have become widespread thanks to technological advancements. This meta-analysis aims at reviewing the telehealth interventions applied to patients with type 2 DM and examining their effects on medication adherence. Methods: Relevant studies published in ScienceDirect, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL) and PubMed from 2000 to December 2022 were searched in this meta-analysis. Their methodological quality was assessed using the Modified Jadad scale. Total score for each study ranged from 0 (low quality) to 8 (high quality). Studies with four or more were of good quality. Standardized mean difference (SMD) and 95% confidence intervals (CI) were used for statistical analysis. Publication bias was assessed using the funnel plot and Egger regression test. Both subgroup analysis and meta-regression analysis were performed in the study. Results: A total of 18 studies were analyzed in this meta-analysis. All studies scored 4 or above in their methodological quality assessment and were of good quality. The combined results have shown that telehealth interventions significantly increased medication adherence in the intervention group (SMD = 0.501; 95% CI 0.231-0.771; Z = 3.63, p < 0.001). Our subgroup analysis has revealed that HbA1c value, mean age, and duration of intervention significantly affected the study results. Conclusion: Telehealth interventions are an effective method to increase medication adherence in patients with type 2 DM. It is recommended that telehealth interventions be expanded in clinical practices and included in disease management.

Effectiveness of self-management interventions for long-term conditions in people experiencing socio-economic deprivation in high-income countries: a systematic review and meta-analysis

BACKGROUND

Long-term conditions (LTCs) are prevalent in socio-economically deprived populations. Self-management interventions can improve health outcomes, but socio-economically deprived groups have lower participation in them, with potentially lower effectiveness. This review explored whether self-management interventions delivered to people experiencing socio-economic deprivation improve outcomes.

METHODS

We searched databases up to November 2022 for randomized trials. We screened, extracted data and assessed the quality of these studies using Cochrane Risk of Bias 2 (RoB2). We narratively synthesized all studies and performed a meta-analysis on eligible articles. We assessed the certainty of evidence using GRADE for articles included in the meta-analysis.

RESULTS

The 51 studies included in this review had mixed findings. For the diabetes meta-analysis, there was a statistically significant pooled reduction in haemoglobin A1c (-0.29%). We had moderate certainty in the evidence. Thirty-eight of the study interventions had specific tailoring for socio-economically deprived populations, including adaptions for low literacy and financial incentives. Each intervention had an average of four self-management components.

CONCLUSIONS

Self-management interventions for socio-economically deprived populations show promise, though more evidence is needed. Our review suggests that the number of self-management components may not be important. With the increasing emphasis on self-management, to avoid exacerbating health inequalities, interventions should include tailoring for socio-economically deprived individuals.

Electronic Health Interventions for Type 2 Diabetes and Obesity in Hispanic or Latino Adults: A Systematic Review of English and Spanish Studies

Objective

The objective of this study was to synthesize English and Spanish literature to determine whether electronic health interventions (EHIs) such as telehealth, telemedicine, digital health, and mobile health (mHealth) improve A1C, blood glucose, BMI, and/or weight among Hispanic/Latino adults with type 2 diabetes or overweight/obesity in the Americas.

Design and methods

Searches were conducted in June 2021 using the Scientific Electronic Library Online, Cumulative Index of Nursing and Allied Health Literature, PubMed, and PsycInfo literature databases. Studies were identified that investigated the effect of an EHI on A1C, blood glucose, BMI, or weight in populations that were ≥12% Hispanic/Latino adults with type 2 diabetes or overweight/obesity, were conducted in the Americas, and were published in English or Spanish. Study quality was determined using the Quality Index Score. Data were extracted and synthesized, and themes were identified.

Results

Twenty-five studies met inclusion criteria, including 23 in English (from the United States) and two in Spanish (from Chile). A total of 22 investigated type 2 diabetes, and three investigated overweight/obesity. The studies encompassed 6,230 participants, including 3,413 Hispanic/Latino adults. Sixty-three percent of studies demonstrated significant improvements in A1C or blood glucose and 67% in weight. Thirteen studies offered an EHI in both English and Spanish, and six offered the intervention in either English or Spanish alone. All EHIs involving mHealth exclusively and most (90%) involving more than one electronic modality demonstrated a higher number of significant findings compared with those having only one EHI modality, especially telehealth (44.4%). EHIs lasting ≤12 months had more significant findings (72.7%) than those lasting >12 months (50%). Six studies had industry-related funding, with 83.3% of those demonstrating significant improvements in outcomes.

Conclusion

EHIs improved A1C and weight in adults (n = 4,355), including 45.5% Hispanic/Latino adults. mHealth and EHIs using more than one electronic modality and those lasting ≤12 months were especially effective. However, overall study quality was modest. Future research should be conducted in Spanish-speaking countries in Latin America and should compare the effectiveness of different EHI modalities.

The Use of eHealth for Pharmacotherapy Management With Patients With Respiratory Disease, Cardiovascular Disease, or Diabetes: Scoping Review

BACKGROUND

eHealth is increasingly considered an important tool for supporting pharmacotherapy management.

OBJECTIVE

We aimed to assess the (1) use of eHealth in pharmacotherapy management with patients with asthma or chronic obstructive pulmonary disease (COPD), diabetes, or cardiovascular disease (CVD); (2) effectiveness of these interventions on pharmacotherapy management and clinical outcomes; and (3) key factors contributing to the success of eHealth interventions for pharmacotherapy management.

METHODS

We conducted a scoping review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review) statement. Databases searched included Embase, MEDLINE (PubMed), and Cochrane Library. Screening was conducted by 2 independent researchers. Eligible articles were randomized controlled trials and cohort studies assessing the effect of an eHealth intervention for pharmacotherapy management compared with usual care on pharmacotherapy management or clinical outcomes in patients with asthma or COPD, CVD, or diabetes. The interventions were categorized by the type of device, pharmacotherapy management, mode of delivery, features, and domains described in the conceptual model for eHealth by Shaw at al (Health in our Hands, Interacting for Health, Data Enabling Health). The effectiveness on pharmacotherapy management outcomes and patient- and clinician-reported clinical outcomes was analyzed per type of intervention categorized by number of domains and features to identify trends.

RESULTS

Of 63 studies, 16 (25%), 31 (49%), 13 (21%), and 3 (5%) included patients with asthma or COPD, CVD, diabetes, or CVD and diabetes, respectively. Most (38/63, 60%) interventions targeted improving medication adherence, often combined for treatment plan optimization. Of the 16 asthma or COPD interventions, 6 aimed to improve inhaled medication use. The majority (48/63, 76%) of the studies provided an option for patient feedback. Most (20/63, 32%) eHealth interventions combined all 3 domains by Shaw et al, while 25% (16/63) combined Interacting for Health with Data Enabling Health. Two-thirds (42/63, 67%) of the studies showed a positive overall effect. Respectively, 48% (23/48), 57% (28/49), and 39% (12/31) reported a positive effect on pharmacotherapy management and clinician- and patient-reported clinical outcomes. Pharmacotherapy management and patient-reported clinical outcomes, but not clinician-reported clinical outcomes, were more often positive in interventions with ≥3 features. There was a trend toward more studies reporting a positive effect on all 3 outcomes with more domains by Shaw et al. Of the studies with interventions providing patient feedback, more showed a positive clinical outcome, compared with studies with interventions without feedback. This effect was not seen for pharmacotherapy management outcomes.

CONCLUSIONS

There is a wide variety of eHealth interventions combining various domains and features to target pharmacotherapy management in asthma or COPD, CVD, and diabetes. Results suggest feedback is key for a positive effect on clinician-reported clinical outcomes. eHealth interventions become more impactful when combining domains.

Effectiveness of mHealth management with an implantable glucose sensor and a mobile application among Chinese adults with type 2 diabetes

INTRODUCTION

This study aimed to evaluate the effectiveness of mHealth management with an implantable glucose sensor and a mobile application among patients with type 2 diabetes mellitus (T2DM) in China.

METHODS

A randomised controlled trial was carried out to compare the effectiveness of usual health management to mHealth management based on a model that consisted of the network platform, an implantable glucose sensor and a mobile app featuring guidance from general practitioners (GPs) over a four-week period. Patients (N=68) with T2DM were randomly divided into an intervention group and a control group. Before the intervention, there was no difference in body mass index (BMI), fasting blood glucose (FBG), postprandial two-hour blood glucose (2hPG) and glycosylated haemoglobin (HbA1c) between the intervention group and the control group (p>0.05). Patients in the control group received their usual health management, while patients in the intervention group received mHealth management.

RESULTS

After health management, the mean BMI, FBG, 2hPG and HbA1c of the intervention group patients were all lower than those of the control group patients (p < 0.05), and the quality of life and self-management of the intervention group patients had significantly improved.

DISCUSSION

mHealth management effectively showed significant reductions in BMI, FBG, 2hPG and HbA1c and improved quality of life and self-management among patients, which may be related to real-time feedback from an implantable glucose sensor and guidance from GPs through a mobile app. mHealth management is a very promising way to promote the health management of T2DM in China, and this study provides a point of reference for mHealth management abroad.

The role of telehealth in pediatric emergency care

In 2006, the Institute of Medicine published a report titled "Emergency Care for Children: Growing Pains," in which it described pediatric emergency care as uneven at best. Since then, telehealth has emerged as one of the great equalizers in care of children, particularly for those in rural and underresourced communities. Clinicians in these settings may lack pediatric-specific specialization or experience in caring for critically ill or injured children. Telehealth consultation can provide timely and safe management for many medical problems in children and can prevent many unnecessary and often long transport to a pediatric center while avoiding delays in care, especially for time-sensitive and acute interventions. Telehealth is an important component of pediatric readiness of hospitals and is a valuable tool in facilitating health care access in low resourced and critical access areas. This paper provides an overview of meaningful applications of telehealth programs in pediatric emergency medicine, discusses the impact of the COVID-19 pandemic on these services, and highlights challenges in setting up, adopting, and maintaining telehealth services.

Implementation and Evaluation of an Automated Text Message-Based Diabetes Prevention Program for Adults With Pre-diabetes

BACKGROUND

Despite the efficacy of diabetes prevention programs, only an estimated 5% of people with pre-diabetes actually participate. Mobile health (mHealth) holds promise to engage patients with pre-diabetes into lifestyle modification programs by decreasing the referral burden, centralizing remote enrollment, removing the physical requirement of a brick-and-mortar location, lowering operating costs through automation, and reducing time and transportation barriers.

METHODS

Non-randomized implementation study enrolling patients with pre-diabetes from a large health care organization. Patients were exposed to a text message-based program combining live human coaching guidance and support with automated scheduled, interactive, data-driven, and on-demand messages. The primary analysis examined predicted weight outcomes at 6 and 12 months. Secondary outcomes included predicted changes in HbA1c and minutes of exercise at 6 and 12 months.

RESULTS

Of the 163 participants included in the primary analysis, participants had a mean predicted weight loss of 5.5% at six months (P < .001) and of 4.3% at 12 months (P < .001). We observed a decrease in predicted HbA1c from 6.1 at baseline to 5.8 at 6 and 12 months (P < .001). Activity minutes were statistically similar from a baseline of 155.5 minutes to 146.0 minutes (P = .567) and 142.1 minutes (P = .522) at 6 and 12 months, respectively, for the overall cohort.

CONCLUSIONS

In this real-world implementation of the myAgileLife Diabetes Prevention Program among patients with pre-diabetes, we observed significant decreases in weight and HbA1c at 6 and 12 months. mHealth may represent an effective and easily scalable potential solution to deliver impactful diabetes prevention curricula to large numbers of patients.

Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials

BACKGROUND

Digital health interventions have shown promising results for the management of type 2 diabetes, but a comparison of the effectiveness and implementation of the different modes is not currently available. Therefore, this study aimed to compare the effectiveness of SMS, smartphone application, and website-based interventions on improving glycaemia in adults with type 2 diabetes and report on their reach, uptake, and feasibility.

METHODS

In this systematic review and meta-analysis, we searched CINAHL, Cochrane Central, Embase, MEDLINE, and PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) that examined the effectiveness of digital health interventions in reducing glycated haemoglobin A1c (HbA1c) in adults with type 2 diabetes, published in English from Jan 1, 2009. Screening was carried out using Covidence, and data were extracted following Cochrane's guidelines. The primary endpoint assessed was the change in the mean (and 95% CI) plasma concentration of HbA1c at 3 months or more. Cochrane risk of bias 2 was used to assess risk of bias. Data on reach, uptake, and feasibility were summarised narratively and data on HbA1c reduction were synthesised in a meta-analysis. Grading of Recommendations, Assessment, Development, and Evaluation criteria was used to evaluate the level of evidence. The study was registered with PROSPERO, CRD42021247845.

FINDINGS

Of the 3236 records identified, 56 RCTs from 24 regions (n=11 486 participants), were included in the narrative synthesis, and 26 studies (n=4546 participants) in the meta-analysis. 20 studies used SMS as the primary mode of delivery of the digital health intervention, 25 used smartphone applications, and 11 implemented interventions via websites. Smartphone application interventions reported higher reach compared with SMS and website-based interventions, but website-based interventions reported higher uptake compared with SMS and smartphone application interventions. Effective interventions, in general, included people with greater severity of their condition at baseline (ie, higher HbA1c) and administration of a higher dose intensity of the intervention, such as more frequent use of smartphone applications. Overall, digital health intervention group participants had a -0·30 (95% CI -0·42 to -0·19) percentage point greater reduction in HbA1c, compared with control group participants. The difference in HbA1c reduction between groups was statistically significant when interventions were delivered through smartphone applications (-0·42% [-0·63 to -0·20]) and via SMS (-0·37% [-0·57 to -0·17]), but not when delivered via websites (-0·09% [-0·64 to 0·46]). Due to the considerable heterogeneity between included studies, the level of evidence was moderate overall.

INTERPRETATION

Smartphone application and SMS interventions, but not website-based interventions, were associated with better glycaemic control. However, the studies' heterogeneity should be recognised. Considering that both smartphone application and SMS interventions are effective for diabetes management, clinicians should consider factors such as reach, uptake, patient preference, and context of the intervention when deciding on the mode of delivery of the intervention. Nine in ten people worldwide own a feature phone and can receive SMS and four in five people have access to a smartphone, with numerous smartphone applications being available for diabetes management. Clinicians should familiarise themselves with this modality of programme delivery and encourage people with type 2 diabetes to use evidence-based applications for improving their self-management of diabetes. Future research needs to describe in detail the mediators and moderators of the effectiveness and implementation of SMS and smartphone application interventions, such as the optimal dose, frequency, timing, user interface, and communication mode to both further improve their effectiveness and to increase their reach, uptake, and feasibility.

FUNDING

EU's Horizon 2020 Research and Innovation Programme.

The Impact of Digital Health Interventions for the Management of Type 2 Diabetes on Health and Social Care Utilisation and Costs: A Systematic Review

BACKGROUND

Digital health interventions such as smartphone applications (mHealth) or Internet resources (eHealth) are increasingly used to improve the management of chronic conditions, such as type 2 diabetes mellitus. These digital health interventions can augment or replace traditional health services and may be paid for using healthcare budgets. While the impact of digital health interventions for the management of type 2 diabetes on health outcomes has been reviewed extensively, less attention has been paid to their economic impact.

OBJECTIVE

This study aims to critically review existing literature on the impact of digital health interventions for the management of type 2 diabetes on health and social care utilisation and costs.

METHODS

Studies that assessed the impact on health and social care utilisation of digital health interventions for type 2 diabetes were included in the study. We restricted the digital health interventions to information provision, self-management and behaviour management. Four databases were searched (MEDLINE, EMBASE, PsycINFO and EconLit) for articles published between January 2010 and March 2021. The studies were analysed using a narrative synthesis approach. The risk of bias and reporting quality were appraised using the ROBINS-I checklist.

RESULTS

The review included 22 studies. Overall, studies reported mixed evidence on the impact of digital health interventions on health and social care utilisation and costs, and suggested this impact differs according to the healthcare utilisation component. For example, digital health intervention use was associated with lower medication use and fewer outpatient appointments, whereas evidence on general practitioner visits and inpatient admissions was mixed. Most reviewed studies focus on a single component of healthcare utilisation.

CONCLUSIONS

The review shows no clear evidence of an impact of digital health interventions on health and social care utilisation or costs. Further work is needed to assess the impact of digital health interventions across a broader range of care utilisation components and settings, including social and mental healthcare services.

CLINICAL TRIAL REGISTRATION

The study protocol was registered on PROSPERO before searches began in April 2021 (registration number: CRD42020172621).

What is the effect of mobile phone text message reminders on medication adherence among adult type 2 diabetes mellitus patients: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Globally, type 2 diabetes has become increasing. As little is known about the effect of educational intervention on this population, this systematic review and meta-analysis evaluated the effectiveness of mobile phone text message reminders versus usual care to improve medication adherence among type 2 diabetes mellitus patients.

METHODS

PubMed, Google Scholar, Cochrane Library, Scopus, and African Journals Online, were searched. A random-effects model was employed to estimate combined effect sizes. Subgroup analyses were employed to investigate possible sources of heterogeneity between studies. The overall certainty of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation approach.

RESULTS

A total of 9 trials with 1,121 participants were included in the review. The pooled estimated impact of mobile phone text message reminders on medication adherence was (SMD: 0.36; 95%CI; 0.14, 0.59) compared to usual care groups among patients with type 2 diabetes mellitus. In addition, subgroup analyses revealed greater medication adherence levels in those studies with intervention durations of more than six months and with self-report/refill adherence scale measurement (SMD: 0.21; 95%CI: 0.02, 0.40) and (SMD: 0.45; 95%CI: 0.22, 0.68), respectively.

CONCLUSION

Mobile phone text messages can potentially lead to improved medication adherence levels in patients with Type 2 diabetes despite heterogeneity across the studies. Therefore, mobile phone text messaging when delivered in addition to usual care, have the potential to produce significant improvements in medication adherence.

Exploring determinants and strategies for implementing self-management support text messaging interventions in safety net clinics

Background

Text message-delivered interventions for chronic disease self-management have potential to reduce health disparities, yet limited research has explored implementing these interventions into clinical care. We partnered with safety net clinics to evaluate a texting intervention for type 2 diabetes called REACH (Rapid Encouragement/Education And Communications for Health) in a randomized controlled trial. Following evaluation, we explored potential implementation determinants and recommended implementation strategies.

Methods

We interviewed clinic staff (n = 14) and a subset of intervention participants (n = 36) to ask about REACH's implementation potential. Using the Consolidated Framework for Implementation Research (CFIR) as an organizing framework, we coded transcripts and used thematic analysis to derive implementation barriers and facilitators. We integrated the CFIR-ERIC (Expert Recommendations for Implementing Change) Matching Tool, interview feedback, and the literature to recommend implementation strategies.

Results

Implementation facilitators included low complexity, strong evidence and quality, available clinic resources, the need for a program to support diabetes self-management, and strong fit between REACH and both the clinics' existing workflows and patients' needs and resources. The barriers included REACH only being available in English, a lack of interoperability with electronic health record systems, patients' concerns about diabetes stigma, limited funding, and high staff turnover. Categories of recommended implementation strategies included training and education, offering flexibility and adaptation, evaluating key processes, and securing funding.

Conclusion

Text message-delivered interventions have strong potential for integration in low-resource settings as a supplement to care. Pursuing implementation can ensure patients benefit from these innovations and help close the research to practice gap.

Mobile phone access and preferences among medical inpatients at an urban Canadian hospital for post-discharge planning: A pre-COVID-19 cross-sectional survey

Background

Digital health interventions are increasingly used for patient care, yet little data is available on the phone access type and usage preferences amongst medical ward inpatients to inform the most appropriate digital interventions post-discharge.

Methods

To identify mobile phone ownership, internet access, and cellular use preferences among medical inpatients, we conducted a researcher-administered survey of patients admitted to five internal medicine units at Vancouver General Hospital (VGH) in January 2020. The survey was administered over 2 days separated by a 2-week period.

Results

A total of 81 inpatients completed the questionnaire. Survey found that 85.2% of survey respondents had mobile phone access where 63.0% owned their own mobile phone, and 22.2% had access to a mobile phone via a proxy (or an authorized third-party) such as a family member. All participants with mobile phone access had cellular plans (i.e., phone and text); however, a quarter of respondents did not have data plans with internet access. Survey showed that 71.1% of males owned a mobile phone compared to only 52.8% of females. All participants at a “high” risk of readmission had access to a mobile phone, either as phone-owners or proxy-dependent users.

Conclusion

Access to mobile phones among medical ward inpatients, 85.2%, was comparable to smartphone penetration rates amongst Canadians in 2019, 85.1%. More patients had cellular than data plans (i.e., internet and applications). Understanding patient-specific access is key to informing potential uptake of digital health interventions aimed at using patients' mobile phones (mHealth) from an effectiveness and equity lens.

Factors associated with treatment adherence to treatment among in patients with type 2 diabetes in Iran: A cross-sectional study

Introduction

Diabetes is a chronic metabolic disorder that affects millions of people worldwide. Adherence to treatment is a key determinant to proper management. This study aimed to assess the factors associated treatment adherence in patients with type 2 diabetes.

Materials and methods

We conducted this cross-sectional study on 704 patients with type 2 diabetes referred to three diabetes clinics in Kerman, Iran. We used treatment adherence questionnaire and functional communicative critical health literacy (FCCHL) to collect data and descriptive statistics, as well as Pearson correlation coefficient and multivariate regression analysis to analyze data. Significance level was <0.05.

Results

The study results showed that health literacy, HbA1c, and income were main predictors of diabetes treatment adherence. The patients' adherence increased as their health literacy increased. The patients' HbA1c decreases as their adherence increased. We found a 2.54-point increase in the treatment adherence score for those with sufficient income and a 0.76-point increase in the treatment adherence score for those with relatively sufficient income compared with those with insufficient income.

Conclusion

We found several factors affecting diabetes treatment adherence. Planning theory-based interventions can be helpful to improve the determinants.

Development, implementation and evaluation of high-quality virtual preoperative anaesthetic assessment during COVID-19 and beyond: a quality improvement report

BACKGROUND

Preoperative risk factor identification and optimisation are widely accepted as the gold standard of care for elective surgery and are essential for reducing morbidity and mortality. COVID-19 public health restrictions required a careful balance between ensuring best medical practices and maintaining safety by minimising patient face-to-face attendance in the hospital. Based on the successful implementation of telemedicine (TM) in other medical specialties and its feasibility in the preoperative context, this study aimed to develop, implement and evaluate a high-quality virtual preoperative anaesthetic assessment process.

METHODS

The three-step model for improvement was used. The specific, measurable, actionable, relevant, time aim (step 1) and measures for improvement (step 2) were defined at the onset of the project. The plan-do-study-act tool was used for the structured implementation of improvement interventions (step 3) in three phases. Data relating to virtual and in-person referrals, assessments, did-not-attend (DNA) rate, consultation time, day of surgery delays and cancellations, and service-user and provider experience surveys were recorded prospectively.

RESULTS

A total of 2805 patients were assessed in the preoperative anaesthetic assessment clinic between July 2020 and March 2021. The mean rate of virtual preoperative assessments was 50% (SD ±10) (1390/2805). 0.1% (30/2805) were inappropriately referred on the alternative pathway. The DNA rate was 0.4% (8/1398) and 3% (43/1458) for virtual and in-person pathways, respectively. The mean consultation times for virtual and in-person attendance were 19 (SD ±7) and 31 (SD ±13) min, respectively. There were five same-day surgery cancellations and one delay due to medical reasons. When asked about their experience with the virtual assessment, both service users and providers reported high satisfaction, minimal technical difficulties and shared concerns about limited opportunities for physical examination.

CONCLUSION

This is one of the first implementational studies to comprehensively outline the feasibility of TM in preoperative anaesthetic assessment during COVID-19.

Text messaging to increase patient engagement in a large health care for the homeless clinic: Results of a randomized pilot study

Objectives

To assess the feasibility and effectiveness of text messaging to increase outpatient care engagement and medication adherence in an urban homeless population in Boston.

Methods

Between July 2017 and April 2018, 62 patients from a clinic serving a homeless population were sent automated text messages for four months. Messages were either appointment reminders and medication adherence suggestions (intervention group) or general health promotion messages (control group). Medical records were reviewed to evaluate appointment keeping, emergency room (ER) use, and hospitalizations. Pre- and post-surveys were administered to measure self-reported medication adherence.

Results

No significant differences were found in inpatient or outpatient care between the intervention and control groups, though differences in no-show rates and medication adherence approached significance. Appointment no-show rates were 21.0% vs. 30.6% (p = 0.08) for intervention and control, respectively, and rates of completed appointments were 65.8% vs. 56.7% (p = 0.12). Mean ER visits were 3.86 vs 2.33 (p = 0.16) for intervention and control groups, and mean inpatient admissions were 0.6 versus 1.24 (p = 0.42). Self-reported medication adherence increased from 8.27 to 9.84 in intervention participants, compared to an increase from 8.27 to 8.68 in control participants (p = 0.07), on a 1–11 scale.

Conclusions

Text messaging showed the potential to improve patient engagement in care and medication adherence in an urban homeless population (findings approaching but not achieving statistical significance). Work is needed to enhance the effectiveness of text-messaging interventions, which may involve increasing ease of use for mobile phones and texting apps, and addressing high rates of phone theft and loss.

Adaptation of an adult web application for type 1 diabetes self-management to youth: use of the Behaviour Change Wheel to tailor the needs of healthcare transition- A qualitative study (Preprint)

BACKGROUND

Youth (aged 14-24 years) living with type 1 diabetes (T1D) encounter increased challenges in their diabetes self-management (DSM), especially during the transition to adult care. Although DSM education and support are imperative, there is insufficient information on how web-based digital tools tailored to their demands can be developed.

OBJECTIVE

On the basis of the Behavior Change Wheel, this study aims to identify, among youth living with T1D, the needs and factors influencing their DSM in the context of health care transition and to inform the adaptation (content and features) of an adult self-guided web application (Support).

METHODS

Internet-based semistructured individual interviews based on a phenomenological study design were conducted with 21 youths, and transcripts were analyzed using an inductive approach with concept mapping.

RESULTS

Factors influencing T1D self-management were categorized into barriers and facilitators and then as external or internal. Features influencing the accessibility to information, increasing the sense of support, and use of the tool were positively accepted. Features unrelated to their expectations of digital tool use or difficulty navigating were viewed negatively. Participants expressed an interest in reliable, practical, and novel educational content. Although youth considered the information provided by medical professionals to be important, peer exchange was deemed necessary to obtain a practical perspective and real-life examples.

CONCLUSIONS

Compared with the adult population, in addition to tailored content and a simplified information search process, when building a DSM education and support digital tool for youth, features should be selected to encourage supervised peer exchange.

Mixed methods evaluation to explore participant experiences of a pilot randomized trial to facilitate self-management of people living with stroke: Inspiring virtual enabled resources following vascular events (iVERVE)

Introduction

Despite digital health tools being popular for supporting self‐management of chronic diseases, little research has been undertaken on stroke. We developed and pilot tested, using a randomized controlled design, a multicomponent digital health programme, known as Inspiring Virtual Enabled Resources following Vascular Events (iVERVE), to improve self‐management after stroke. The 4‐week trial incorporated facilitated person‐centred goal setting, with those in the intervention group receiving electronic messages aligned to their goals, versus limited administrative messages for the control group. In this paper, we describe the participant experience of the various components involved with the iVERVE trial.

Methods

Mixed method design: satisfaction surveys (control and intervention) and a focus group interview (purposively selected intervention participants). Experiences relating to goal setting and overall trial satisfaction were obtained from intervention and control participants, with feedback on the electronic message component from intervention participants. Inductive thematic analysis was used for interview data and open‐text responses, and closed questions were summarized descriptively. Triangulation of data allowed participants' perceptions to be explored in depth.

Results

Overall, 27/54 trial participants completed the survey (13 intervention: 52%; 14 control: 48%); and 5/8 invited participants in the intervention group attended the focus group. Goal setting: The approach was considered comprehensive, with the involvement of health professionals in the process helpful in developing realistic, meaningful and person‐centred goals. Electronic messages (intervention): Messages were perceived as easy to understand (92%), and the frequency of receipt was considered appropriate (11/13 survey; 4/5 focus group). The content of messages was considered motivational (62%) and assisted participants to achieve their goals (77%). Some participants described the benefits of receiving messages as a ‘reminder’ to act. Overall trial satisfaction: Messages were acceptable for educating about stroke (77%). Having options for short message services or email to receive messages was considered important. Feedback on the length of the intervention related to specific goals, and benefits of receiving the programme earlier after stroke was expressed.

Conclusion

The participant experience has indicated acceptance and utility of iVERVE. Feedback from this evaluation is invaluable to inform refinements to future Phase II and III trials, and wider research in the field.

Patient or Public Contribution

Two consumer representatives sourced from the Stroke Foundation (Australia) actively contributed to the design of the iVERVE programme. In this study, participant experiences directly contributed to the further development of the iVERVE intervention and future trial design.

Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study

BACKGROUND

The COVID-19 pandemic has limited face-to-face treatment, triggering a change in the structure of existing healthcare services. Unlike other groups, workers in underserved areas have relatively poor access to healthcare.

OBJECTIVE

This study aimed to investigate the effects of video-based telehealth services using a mobile personal health record (PHR) app for vulnerable workers with metabolic risk factors.

METHODS

A prospective observational study was conducted with 117 participants and 27 healthcare professionals for 16 weeks. Participants visited the research institution three times (at weeks 1, 8, and 16) and underwent health check-ups and used various features of the mobile PHR app. Healthcare professionals observed the participants's data using the monitoring system and performed appropriate interventions. The primary outcome measures were to evaluate the effects of services on changes in the participants' metabolic risk factors, and secondary outcome measures were to analyze changes in the participants' lifestyle and service satisfaction, and to observe service use through usage logs. One-way repeated measures ANOVA and Scheffé's test were performed to observe changes in participants' health status and lifestyle, and a paired t-test was performed to analyze changes in service satisfaction. Finally, in-depth interviews with healthcare professionals were performed using semi-structured questionnaires to understand service providers' perspectives after the end of the study.

RESULTS

Systolic blood pressure (F = 7.32, P <.001), diastolic blood pressure (F = 11.30, P <.001), body weight (F = 29.53, P <.001), BMI (F = 17.31, P <.001), waist circumference (F = 17.33, P <.001), fasting blood glucose (F = 5.11, P =.007), and triglycerides (F = 4.66, P =.01) showed significant improvements with time points, whereas high-density lipoprotein cholesterol (F = 3.35, P =.067) did not. The dietary score (F = 3.26, P =.04) showed a significant improvement with time points, whereas physical activity (F = 1.06, P =.34) did not. In terms of service satisfaction, only lifestyle improvement (P <.001) showed a significant difference. COVID-19 has affected the performance of healthcare professionals, thereby changing the perspectives toward healthcare technology services.

CONCLUSIONS

We evaluated the effectiveness of video-based telehealth services supporting workers' health status and lifestyle interventions using healthcare technologies such as the mobile PHR app, tele-monitoring, and video teleconsultation. Our results indicate that as a complementary means, its utility can be expanded in the field of occupational safety and health to overcome the limitations of face-to-face treatment due to COVID-19 in the future.

Technology-Delivered Adaptations of Motivational Interviewing for the Prevention and Management of Chronic Diseases: Scoping Review

Background

Motivational interviewing (MI) can increase health-promoting behaviors and decrease health-damaging behaviors. However, MI is often resource intensive, precluding its use with people with limited financial or time resources. Mobile health–based versions of MI interventions or technology-delivered adaptations of MI (TAMIs) might increase reach.

Objective

We aimed to understand the characteristics of existing TAMIs. We were particularly interested in the inclusion of people from marginalized sociodemographic groups, whether the TAMI addressed sociocontextual factors, and how behavioral and health outcomes were reported.

Methods

We employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews to conduct our scoping review. We searched PubMed, CINAHL, and PsycInfo from January 1, 1996, to April 6, 2022, to identify studies that described interventions incorporating MI into a mobile or electronic health platform. For inclusion, the study was required to (1) describe methods/outcomes of an MI intervention, (2) feature an intervention delivered automatically via a mobile or electronic health platform, and (3) report a behavioral or health outcome. The exclusion criteria were (1) publication in a language other than English and (2) description of only in-person intervention delivery (ie, no TAMI). We charted results using Excel (Microsoft Corp).

Results

Thirty-four studies reported the use of TAMIs. Sample sizes ranged from 10 to 2069 participants aged 13 to 70 years. Most studies (n=27) directed interventions toward individuals engaging in behaviors that increased chronic disease risk. Most studies (n=22) oversampled individuals from marginalized sociodemographic groups, but few (n=3) were designed specifically with marginalized groups in mind. TAMIs used text messaging (n=8), web-based intervention (n=22), app + text messaging (n=1), and web-based intervention + text messaging (n=3) as delivery platforms. Of the 34 studies, 30 (88%) were randomized controlled trials reporting behavioral and health-related outcomes, 23 of which reported statistically significant improvements in targeted behaviors with TAMI use. TAMIs improved targeted health behaviors in the remaining 4 studies. Moreover, 11 (32%) studies assessed TAMI feasibility, acceptability, or satisfaction, and all rated TAMIs highly in this regard. Among 20 studies with a disproportionately high number of people from marginalized racial or ethnic groups compared with the general US population, 16 (80%) reported increased engagement in health behaviors or better health outcomes. However, no TAMIs included elements that addressed sociocontextual influences on behavior or health outcomes.

Conclusions

Our findings suggest that TAMIs may improve some health promotion and disease management behaviors. However, few TAMIs were designed specifically for people from marginalized sociodemographic groups, and none included elements to help address sociocontextual challenges. Research is needed to determine how TAMIs affect individual health outcomes and how to incorporate elements that address sociocontextual factors, and to identify the best practices for implementing TAMIs into clinical practice.

Effects of Feedback From Self-Monitoring Devices on Lifestyle Changes in Workers with Diabetes: 3-Month Randomized Controlled Pilot Trial

Background

Although lifestyle interventions are useful in the prevention and management of diabetes, they can be expensive and time-consuming. There is some evidence on the effectiveness of automated mobile technology for health self-monitoring; however, few studies have used such devices in the occupational health field.

Objective

We aimed to examine the effectiveness of a digital self-monitoring device on glucose levels and activity of workers with diabetes in Japan. The primary outcomes were changes in blood glucose levels, and the secondary outcomes were changes in weight and BMI.

Methods

A 2-arm randomized controlled pilot trial was conducted with workers from 23 organizations. The intervention group (n=50) wore an armband activity monitor, a body composition monitor, and a blood pressure monitor for 3 months and received semiautomated weekly email messages tailored to their device data. The control group (n=53) engaged in no self-monitoring. Messages were developed by a physician and a dietician. Postintervention changes in blood glucose levels, weight, and BMI were compared between the intervention and control groups, using blood tests and questionnaires.

Results

At the end of 3 months, the intervention group showed significantly lower blood glucose levels (HbA1c: intervention group mean 6.4% (SD 0.3%) vs control group mean 6.6% (SD 0.3%); Cohen d=0.7, 95% CI 0.2-1.1; P=.009). There were no significant between-group differences in weight and BMI.

Conclusions

Mobile digital self-monitoring was effective in improving blood glucose levels in workers with diabetes. The use of digital health devices is a cost-effective way of implementing health self-monitoring for large numbers of individuals in the workplace. However, due to the large volume of missing values in this study, we need to be careful in interpreting the results, and well-designed intervention studies need to be conducted.

Trial Registration

University Hospital Medical Information Network UMIN000023651; https://upload.umin.ac.jp/cgi-open-bin/icdr/ctr_view_cb.cgi?recptno=R000027244&flwp_key=1008PYbOcXKmk7CAg4Th1FWS

Preventing preventable strokes: A study protocol to push guideline-driven atrial fibrillation patient education via patient portal

Background

The main approach to preventing stroke in patients with atrial fibrillation (AF) is anticoagulation (AC), but only about 60% of at-risk individuals are on AC. Patient-facing electronic health record–based interventions have produced mixed results. Little is known about the impact of health portal–based messaging on AC use.

Objective

The purpose of this study was describe a protocol we will use to measure the association between AC use and patient portal message opening. We also will measure patient attitudes toward education materials housed on a professional society Web site.

Methods

We will send portal messages to patients aged ≥18 years with AF 1 week before an office/teleconference visit with a primary care or cardiology provider. The message will be customized for 3 groups of patients: those on AC; those at elevated risk but off AC; and those not currently at risk but may be at risk in the future. Within the message, we will embed a link to UpBeat.org, a Web site of the Heart Rhythm Society containing patient educational materials. We also will embed a link to a survey. Among other things, the survey will request patients to rate their attitude toward the Heart Rhythm Society Web pages. To measure the effectiveness of the intervention, we will track AC use and its association with message opening, adjusting for potential confounders.

Conclusion

If we detect an increase in AC use correlates with message opening, we will be well positioned to conduct a future comparative effectiveness trial. If patients rate the UpBeat.org materials highly, patients from other institutions also may benefit from receiving these materials.

Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record-Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial

Background

A system that combines technology and web-based coaching can help treat chronic conditions such as diabetes. However, the effectiveness of apps in mobile health (mHealth) interventions is inconclusive and unclear due to heterogeneous interventions and varying follow-up durations. In addition, randomized controlled trial data are limited, and long-term follow-up is lacking, especially for apps integrated into electronic medical records.

Objective

We aimed to assess the effect of an electronic medical record–integrated mobile app for personalized diabetes self-care, focusing on the self-monitoring of blood glucose and lifestyle modifications, on glycemic control in patients with type 2 diabetes mellitus.

Methods

In a 26-week, 3-arm, randomized, controlled, open-label, parallel group trial, patients with type 2 diabetes mellitus and a hemoglobin A_1c (HbA_1c) level of ≥7.5% were recruited. The mHealth intervention consisted of self-monitoring of blood glucose with the automatic transfer of glucose, diet, and physical activity counseling data (iCareD system). Participants were randomly assigned to the following three groups: usual care (UC), mobile diabetes self-care (MC), and MC with personalized, bidirectional feedback from physicians (MPC). The primary outcome was the change in HbA_1c levels at 26 weeks. In addition, diabetes-related self-efficacy, self-care activities, and satisfaction with the iCareD system were assessed after the intervention.

Results

A total of 269 participants were enrolled, and 234 patients (86.9%) remained in the study at 26 weeks. At 12 weeks after the intervention, the mean decline in HbA_1c levels was significantly different among the 3 groups (UC vs MC vs MPC: −0.49% vs −0.86% vs −1.04%; P=.02). The HbA_1c level decreased in all groups; however, it did not differ among groups after 26 weeks. In a subgroup analysis, HbA_1c levels showed a statistically significant decrease after the intervention in the MPC group compared with the change in the UC or MC group, especially in patients aged <65 years (P=.02), patients with a diabetes duration of ≥10 years (P=.02), patients with a BMI of ≥25.0 kg/m² (P=.004), patients with a C-peptide level of ≥0.6 ng/mL (P=.008), and patients who did not undergo treatment with insulin (P=.004) at 12 weeks. A total of 87.2% (137/157) of the participants were satisfied with the iCareD system.

Conclusions

The mHealth intervention for diabetes self-care showed short-term efficacy in glycemic control, and the effect decreased over time. The participants were comfortable with using the iCareD system and exhibited high adherence.

Trial Registration

Clinical Research Information Service, Republic of Korea KCT0004128; https://tinyurl.com/bdd6pa9m

[Effectiveness and Ethical Evaluation of Nudging to Promote the Self-Management in Diabetes Mellitus Type 2]

Hintergrund Nudges bieten vielfältige Möglichkeiten zur Förderung von gesundheitsbezogenem Verhalten im Alltag, die klassische Public Health-Maßnahmen ergänzen können. Vor diesem Hintergrund führten wir vorläufige Untersuchungen zur Wirksamkeit und zu ethischen Aspekten verschiedener Nudges zur Förderung des Selbstmanagements von Patienten mit Diabetes mellitus Typ 2 im Kontext von Disease-Management-Programmen (DMPs) durch.

Methodik Die ethische Bewertung der Nudges erfolgte im systematischen Rahmen von Marckmann et al. (2015) zur Public Health-Ethik. Die bisherige Evidenz zur Wirksamkeit von Nudges wurde mittels einer narrativen Literaturübersicht zusammenfassend dargestellt.

Ergebnisse Zielvereinbarungen mit Umsetzungsplänen, Erinnerungen, Feedback, Sammeltermine bei Ärzten, Peer Mentoring sowie Verhaltensverträge sind Nudging-Interventionen mit mäßiger Eingriffstiefe in die Persönlichkeitsrechte der Patienten und ethisch relativ unproblematischen Voraussetzungen, die sich in verschiedenen Kontexten bewährt haben. Automatische Einschreibungen zu Patientenschulungen, Einbindung der Lebenspartner, Konfrontation mit sozialen Normen und Verwendung von Schockbildern können ebenfalls wirksam sein, greifen jedoch tiefer in die Freiheit und Privatsphäre der Patienten ein und unterliegen stärkeren ethischen Voraussetzungen und Beschränkungen. Die Evidenzlage ist insbesondere bei Maßnahmen zur sozialen Unterstützung durch Angehörige und Peers noch unzureichend.

Schlussfolgerungen Nudging bietet ein breites Spektrum gezielter Interventionen zur Förderung des Selbstmanage-ments von Patienten mit chronischen Erkrankungen, dessen Potenzial bislang noch zu wenig erschlossen wurde. Besonders vielversprechende Maßnahmen sollten in Pilotstudien auf ihre Akzeptanz, Wirksamkeit und Kosteneffektivität im Rahmen von DMPs evaluiert werden.

Technological Proficiencies, Engagement, and Practical Considerations for mHealth Programs at an Urban Safety-Net Hospital Emergency Departments: Data Analysis

Background

Safety-net emergency departments often serve as the primary entry point for medical care for low income predominantly minority patient populations. Herein, we sought to provide insight into the feasibility, technological proficiencies, engagement characteristics, and practical considerations for a mHealth intervention at a safety-net emergency department.

Objective

We aimed to analyze patient technological proficiency to understand the feasibility of and draw practical considerations for mobile phone technology (mHealth) solutions for patients with chronic disease served by safety-net emergency departments.

Methods

We analyzed data from a previous diabetes randomized clinical mHealth trial for a diabetes social support intervention. Patients from a safety-net emergency department with preexisting diabetes who used SMS text messages, owned a mobile phone, and with hemoglobin A_1c levels >8.5% were enrolled. A text message–based mHealth program to improve disease self-management was provided to all patients. Supporters of patients were randomized to receive a mailed copy or mHealth-based curriculum designed to improve diabetes support. Among enrolled patients, we surveyed mobile technological capacity and frequency of use. We performed latent class analysis to identify classes of patients by level of technological proficiency and compared demographic characteristics between the latent classes to identify demographic subgroups that may require more training or tailoring of the mHealth approach. Study engagement between classes was assessed by comparing the mean number of text messages exchanged, loss to follow-up, and early termination.

Results

Of 1876 patients who were approached, 44.2% (n=829) of patients had a stable mobile phone and were able to use text messages. Among them 166 met the trial inclusion and enrolled, 90% (149/166) of the cohort were ethnically diverse. Significant variance was found in technology capacity and frequency of use. Our latent class analysis classified 75% (124/166) of patients as highly technologically proficient and 25% (42/166) patients as minimally technologically proficient. Age (P<.001) and level of education (P<.001) were associated with class membership. Highly technologically proficient patients were younger and had higher levels of education (45.74 years old; high school or more: 90%) than minimally technologically proficient patients (53.64 years old; high school or more: 18%). Highly technologically proficient participants exchanged a mean of 40 text messages with the system coordinators compared to a mean of 10 text messages by minimally technologically proficient patients (P<.001).

Conclusions

This study found that nearly half of the patients screened at the safety-net emergency department were equipped for an SMS text message–based mHealth intervention. In the small sample of patients who were enrolled, the majority were classified as highly technologically proficient. These highly proficient patients had greater study engagement. mHealth use in emergency departments may be an opportunity to improve health of ethnically diverse populations by pairing sophisticated chronic disease self-management program with SMS text message–based and traditional in-person interventions to reach patients through the method that is most familiar and comfortable.

International Registered Report Identifier (IRRID)

RR2-10.1016/j.cct.2019.03.003

A multi-media digital intervention to improve the sexual and reproductive health of female adolescent emergency department patients

BACKGROUND

Adolescent females presenting to emergency departments (EDs) inconsistently use contraceptives. We aimed to assess implementation outcomes and potential efficacy of a user-informed, theory-based digital health intervention developed to improve sexual and reproductive health for adolescent females in the ED.

METHODS

We conducted a pilot-randomized controlled trial of sexually active female ED patients age 14-19 years. Participants were randomized to the intervention Dr. Erica (Emergency Room Interventions to improve the Care of Adolescents) or usual care. Dr. Erica consists of an ED-based digital intervention along with 3 months of personalized and interactive multimedia messaging. We assessed the feasibility, adoption, and fidelity of Dr. Erica among adolescent female users. Initiation of highly effective contraception was the primary efficacy outcome.

RESULTS

We enrolled 146 patients; mean (±SD) age was 17.7 (±1.27) years and 87% were Hispanic. Dr. Erica demonstrated feasibility, with high rates of consent (84.4%) and follow-up (82.9%). Intervention participants found Dr. Erica acceptable, liking (98.0%, on Likert scale) and recommending (83.7%) the program. A total of 87.5% adopted the program, responding to at least one text; a total of 289 weblinks were clicked. Dr. Erica demonstrated fidelity; few participants opted out (6.9%) and failed to receive texts (1.4%). Contraception was initiated by 24.6% (14/57) in the intervention and 21.9% (14/64) in the control arms (absolute risk difference [ARD] = 2.7%, 95% confidence interval [CI] = -12.4% to 17.8%). Participants receiving Dr. Erica were more likely to choose a method to start in the future (65.9% [27/41]) than controls (30.0% [15/50]); ARD = 35.9%, 95% CI = 16.6% to 55.1%).

CONCLUSIONS

A personalized, interactive digital intervention was feasible to implement, acceptable to female ED patients and demonstrated high fidelity and adoption. This ED-based intervention shows potential to improve contraception decision making.

Effectiveness of Mobile Phone and Web-Based Interventions for Diabetes and Obesity Among African American and Hispanic Adults in the United States: Systematic Review

Background

Mobile health (mHealth) and web-based technological advances allow for new approaches to deliver behavioral interventions for chronic diseases such as obesity and diabetes. African American and Hispanic adults experience a disproportionate burden of major chronic diseases.

Objective

This paper reviews the evidence for mHealth and web-based interventions for diabetes and obesity in African American and Hispanic adults.

Methods

Literature searches of PubMed/Medline, The Cochrane Library, EMBASE, CINAHL Plus, Global Health, Scopus, and Library & Information Science Source were conducted for relevant English-language articles. Articles identified through searches were reviewed by 2 investigators and, if they met the inclusion criteria, were extracted and assessed for risk of bias. Findings were summarized in tabular and narrative format. The overall strength of the evidence was assessed as high, moderate, low, or insufficient on the basis of risk of bias, consistency of findings, directness, precision, and other limitations.

Results

Searches yielded 2358 electronic publications, 196 reports were found to be eligible for inclusion, and 7 studies met the eligibility criteria. All 7 included studies were randomized control trials. Five studies evaluated the effectiveness of an mHealth intervention for weight loss, including one that evaluated the effectiveness for diabetes and two studies focused on diabetes. Of all the studies that focused on weight loss, 3 reported significant differences in weight loss in participants in the intervention group compared with those in the usual care group. Although all studies on diabetes control showed greater improvement in glycemic control for the intervention group compared to that in the control group, only one study showed a significant difference between the 2 groups.

Conclusions

This analysis indicates that there are few published studies that assessed mHealth interventions among minority populations and focused on weight or diabetes. Although the overall strength of evidence was low for diabetes control, it was moderate for weight loss, and our findings suggest that mHealth and web-based interventions may provide a promising approach for interventions among African American and Hispanic adults who have obesity or diabetes.

Behavioral Nudges as Patient Decision Support for Medication Adherence: The ENCOURAGE Randomized Controlled Trial

BACKGROUND

Medication adherence is generally low and challenging to address because patient actions control healthcare delivery outside of medical environments. Behavioral nudging changes clinician behavior, but nudging patient decision-making requires further testing. This trial evaluated whether behavioral nudges can increase statin adherence, measured as the proportion of days covered (PDC).

METHODS

In a 12-month parallel-group, unblinded, randomized controlled trial, adult patients in Intermountain Healthcare cardiology clinics were enrolled. Inclusion required an indication for statins and membership in SelectHealth insurance. Subjects were randomized 1:1 to control or nudges. Nudge content, timing, frequency, and delivery route were personalized by CareCentra using machine learning of subject motivations and abilities from psychographic assessment, demographics, social determinants, and the Intermountain Mortality Risk Score. PDC calculation used SelectHealth claims data.

RESULTS

Among 182 subjects, age averaged 63.2±8.5 years, 25.8% were female, baseline LDL-C was 82.5±32.7 mg/dL, and 93.4% had coronary disease. Characteristics were balanced between nudge (n = 89) and control arms (n = 93). The statin PDC was greater at 12 months in the nudge group (PDC: 0.742±0.318) compared to controls (PDC: 0.639±0.358, P = 0.042). Adherent subjects (PDC ≥80%) were more concentrated in the nudge group (66.3% vs controls: 50.5%, P = 0.036) while a composite of death, myocardial infarction, stroke, and revascularization was non-significant (nudges: 6.7% vs control: 10.8%, P = 0.44).

CONCLUSIONS

Persuasive behavioral nudges driven by artificial intelligence resulted in a clinically important increase in statin adherence in general cardiology patients. This precision patient decision support utilized computerized nudge design and delivery with minimal on-going human input.

Dulce Digital-Me: protocol for a randomized controlled trial of an adaptive mHealth intervention for underserved Hispanics with diabetes

BACKGROUND

By 2034, the number of US individuals with diabetes is predicted to increase from 23.7 to 44.1 million, and annual diabetes-related spending is expected to grow from $113 to $336 billion. Up to 55% of US Hispanics born in the year 2000 are expected to develop diabetes during their lifetime. Poor healthcare access and cultural barriers prevent optimal care, adherence, and clinical benefit, placing Hispanics at disproportionate risk for costly diabetes complications. Mobile technology is increasingly prevalent in all populations and can circumvent such barriers. Our group developed Dulce Digital, an educational text messaging program that improved glycemic control relative to usual care. Dulce Digital-Me (DD-Me) has been tailored to a participant's individual needs with a greater focus on health behavior change.

METHODS

This is a three-arm, parallel group, randomized trial with equal allocation ratio enrolling Hispanic adults with low income and poorly managed type 2 diabetes (N = 414) from a San Diego County Federally Qualified Health Center. Participants are randomized to receive Dulce Digital, Dulce Digital-Me-Automated, or Dulce Digital-Me-Telephonic. The DD-Me groups include Dulce Digital components plus personalized goal-setting and feedback delivered via algorithm-driven automated text messaging (DD-Me-Automated) or by the care team health coach (DD-Me-Telephonic) over a 12-month follow-up period. The study will examine the comparative effectiveness of the three groups in improving diabetes clinical control [HbA1c, primary outcome; low-density lipoprotein cholesterol (LDL-C), and systolic blood pressure (SBP)] and patient-provider communication and patient adherence (i.e., medication, self-management tasks) over 12 months and will examine cost-effectiveness of the three interventions.

DISCUSSION

Our comparative evaluation of three mHealth approaches will elucidate how technology can be integrated most effectively and efficiently within primary care-based chronic care model approaches to reduce diabetes disparities in Hispanics and will assess two modes of personalized messaging delivery (i.e., automated messaging vs. telephonic by health coach) to inform cost and acceptability.

TRIAL REGISTRATION

NCT03130699-All items from the WHO Trial Registration data set are available in https://clinicaltrials.gov/ct2/show/study/NCT03130699 .

The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression

BACKGROUND

Previous systematic reviews have aimed to clarify the effect of telemedicine on diabetes. However, such reviews often have a narrow focus, which calls for a more comprehensive systematic review within the field. Hence, the objective of the present systematic review, meta-analysis, and meta-regression is to evaluate the effectiveness of telemedicine solutions versus any comparator without the use of telemedicine on diabetes-related outcomes among adult patients with type 2 diabetes (T2D).

METHODS

This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We considered telemedicine randomized controlled trials (RCT) including adults (≥18 years) diagnosed with T2D. Change in glycated hemoglobin (HbA1c, %) was the primary outcome. PubMed, EMBASE, and the Cochrane Library Central Register of Controlled Trials (CENTRAL) were searched on October 14, 2020. An overall treatment effect was estimated using a meta-analysis performed on the pool of included studies based on the mean difference (MD). The revised Cochrane risk-of-bias tool was applied and the certainty of evidence was graded using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach.

RESULTS

The final sample of papers included a total of 246, of which 168 had sufficient information to calculate the effect of HbA1c%. The results favored telemedicine, with an MD of -0.415% (95% confidence interval [CI] = -0.482% to -0.348%). The heterogeneity was great (I² = 93.05%). A monitoring component gave rise to the higher effects of telemedicine.

CONCLUSIONS

In conclusion, telemedicine may serve as a valuable supplement to usual care for patients with T2D. The inclusion of a telemonitoring component seems to increase the effect of telemedicine.

Early Patient-Centered Outcomes Research Experience With the Use of Telehealth to Address Disparities: Scoping Review

BACKGROUND

Health systems and providers across America are increasingly employing telehealth technologies to better serve medically underserved low-income, minority, and rural populations at the highest risk for health disparities. The Patient-Centered Outcomes Research Institute (PCORI) has invested US $386 million in comparative effectiveness research in telehealth, yet little is known about the key early lessons garnered from this research regarding the best practices in using telehealth to address disparities.

OBJECTIVE

This paper describes preliminary lessons from the body of research using study findings and case studies drawn from PCORI seminal patient-centered outcomes research (PCOR) initiatives. The primary purpose was to identify common barriers and facilitators to implementing telehealth technologies in populations at risk for disparities.

METHODS

A systematic scoping review of telehealth studies addressing disparities was performed. It was guided by the Arksey and O'Malley Scoping Review Framework and focused on PCORI's active portfolio of telehealth studies and key PCOR identified by study investigators. We drew on this broad literature using illustrative examples from early PCOR experience and published literature to assess barriers and facilitators to implementing telehealth in populations at risk for disparities, using the active implementation framework to extract data. Major themes regarding how telehealth interventions can overcome barriers to telehealth adoption and implementation were identified through this review using an iterative Delphi process to achieve consensus among the PCORI investigators participating in the study.

RESULTS

PCORI has funded 89 comparative effectiveness studies in telehealth, of which 41 assessed the use of telehealth to improve outcomes for populations at risk for health disparities. These 41 studies employed various overlapping modalities including mobile devices (29/41, 71%), web-based interventions (30/41, 73%), real-time videoconferencing (15/41, 37%), remote patient monitoring (8/41, 20%), and store-and-forward (ie, asynchronous electronic transmission) interventions (4/41, 10%). The studies targeted one or more of PCORI's priority populations, including racial and ethnic minorities (31/41, 41%), people living in rural areas, and those with low income/low socioeconomic status, low health literacy, or disabilities. Major themes identified across these studies included the importance of patient-centered design, cultural tailoring of telehealth solutions, delivering telehealth through trusted intermediaries, partnering with payers to expand telehealth reimbursement, and ensuring confidential sharing of private information.

CONCLUSIONS

Early PCOR evidence suggests that the most effective health system- and provider-level telehealth implementation solutions to address disparities employ patient-centered and culturally tailored telehealth solutions whose development is actively guided by the patients themselves to meet the needs of specific communities and populations. Further, this evidence shows that the best practices in telehealth implementation include delivery of telehealth through trusted intermediaries, close partnership with payers to facilitate reimbursement and sustainability, and safeguards to ensure patient-guided confidential sharing of personal health information.

REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial

INTRODUCTION

Achieving optimal diabetes control requires several daily self-management behaviours, especially adherence to medication. Evidence supports the use of text messages to support adherence, but there remains much opportunity to improve their effectiveness. One key limitation is that message content has been generic. By contrast, reinforcement learning is a machine learning method that can be used to identify individuals' patterns of responsiveness by observing their response to cues and then optimising them accordingly. Despite its demonstrated benefits outside of healthcare, its application to tailoring communication for patients has received limited attention. The objective of this trial is to test the impact of a reinforcement learning-based text messaging programme on adherence to medication for patients with type 2 diabetes.

METHODS AND ANALYSIS

In the REinforcement learning to Improve Non-adherence For diabetes treatments by Optimising Response and Customising Engagement (REINFORCE) trial, we are randomising 60 patients with suboptimal diabetes control treated with oral diabetes medications to receive a reinforcement learning intervention or control. Subjects in both arms will receive electronic pill bottles to use, and those in the intervention arm will receive up to daily text messages. The messages will be individually adapted using a reinforcement learning prediction algorithm based on daily adherence measurements from the pill bottles. The trial's primary outcome is average adherence to medication over the 6-month follow-up period. Secondary outcomes include diabetes control, measured by glycated haemoglobin A1c, and self-reported adherence. In sum, the REINFORCE trial will evaluate the effect of personalising the framing of text messages for patients to support medication adherence and provide insight into how this could be adapted at scale to improve other self-management interventions.

ETHICS AND DISSEMINATION

This study was approved by the Mass General Brigham Institutional Review Board (IRB) (USA). Findings will be disseminated through peer-reviewed journals, clinicaltrials.gov reporting and conferences.

TRIAL REGISTRATION NUMBER

Clinicaltrials.gov (NCT04473326).

Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c

PURPOSE

This study aimed to identify the characteristics of interventions employed to promote behavior change in people with type 2 diabetes mellitus (T2DM) and their impact on disease self-management and glycated hemoglobin (A1c).

METHODS

The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to guide the protocol development for this systematic review. Randomized controlled clinical trials which compared behavior change interventions to controls in adults with T2DM and investigated disease self-management and glycated hemoglobin (A1c) measured by validated methods were eligible for this study. The risk of bias and quality of evidence was assessed respectively by Cochrane's tool and grading of recommendations, assessment, development, and evaluation (GRADE).

RESULTS

A total of 27 studies were included involving 4464 participants. Behavior change was mainly promoted by education sessions on diabetes care delivered face-to-face, monthly, or every other month, lasting more than 60 min, involving blood glucose monitoring, healthy eating, exercise, and medication. Four studies showed significant improvement in both disease self-management and A1c. The risk of bias was classified as high in most studies. A meta-analysis could not be performed for A1c and self-management due to the high differences in intervention parameters (delivery mode, number, duration, and frequency) and self-management assessments.

CONCLUSION

Low evidence of improvement in disease self-management and A1c considering only validated assessment methods were found for behavior change interventions, mainly promoted by education sessions on diabetes care. The quality of studies and probably the differences in intervention protocols contributed to this finding.

PROSPERO NUMBER

CRD42020161162.

New Horizons-Addressing Healthcare Disparities in Endocrine Disease: Bias, Science, and Patient Care

Unacceptable healthcare disparities in endocrine disease have persisted for decades, and 2021 presents a difficult evolving environment. The COVID-19 pandemic has highlighted the gross structural inequities that drive health disparities, and antiracism demonstrations remind us that the struggle for human rights continues. Increased public awareness and discussion of disparities present an urgent opportunity to advance health equity. However, it is more complicated to change the behavior of individuals and reform systems because societies are polarized into different factions that increasingly believe, accept, and live different realities. To reduce health disparities, clinicians must (1) truly commit to advancing health equity and intentionally act to reduce health disparities; (2) create a culture of equity by looking inwards for personal bias and outwards for the systemic biases built into their everyday work processes; (3) implement practical individual, organizational, and community interventions that address the root causes of the disparities; and (4) consider their roles in addressing social determinants of health and influencing healthcare payment policy to advance health equity. To care for diverse populations in 2021, clinicians must have self-insight and true understanding of heterogeneous patients, knowledge of evidence-based interventions, ability to adapt messaging and approaches, and facility with systems change and advocacy. Advancing health equity requires both science and art; evidence-based roadmaps and stories that guide the journey to better outcomes, judgment that informs how to change the behavior of patients, providers, communities, organizations, and policymakers, and passion and a moral mission to serve humanity.

Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors: A Theory-Guided Systematic Review

BACKGROUND

Although mobile health (mHealth) technologies are burgeoning in the research arena, there is a lack of mHealth interventions focused on improving self-management of individuals with cardiometabolic risk factors (CMRFs).

OBJECTIVE

The purpose of this article was to critically and systematically review the efficacy of mHealth interventions for self-management of CMRF while evaluating quality, limitations, and issues with disparities using the technology acceptance model as a guiding framework.

METHODS

PubMed, CINAHL, EMBASE, and Lilacs were searched to identify research articles published between January 2008 and November 2018. Articles were included if they were published in English, included adults, were conducted in the United States, and used mHealth to promote self-care or self-management of CMRFs. A total of 28 articles were included in this review.

RESULTS

Studies incorporating mHealth have been linked to positive outcomes in self-management of diabetes, physical activity, diet, and weight loss. Most mHealth interventions included modalities such as text messaging, mobile applications, and wearable technologies. There was a lack of studies that are (1) in resource-poor settings, (2) theoretically driven, (3) community-engaged research, (4) measuring digital/health literacy, (5) measuring and evaluating engagement, (6) measuring outcomes related to disease self-management, and (7) focused on vulnerable populations, especially immigrants.

CONCLUSION

There is still a lack of mHealth interventions created specifically for immigrant populations, especially within the Latino community-the largest growing minority group in the United States. In an effort to meet this challenge, more culturally tailored mHealth interventions are needed.

Smartphone-Based mHealth and Internet of Things for Diabetes Control and Self-Management

In patients with chronic diseases condition, mobile health monitoring facility proves to play a significant role in providing significant assistance toward personal management. This research examined the use of smartphones by diabetes patients and their intentions to apply them for self-care and monitoring as well as management. This cross-sectional survey-based study was conducted in Jul-Aug 2021 with 200 diabetic patients (especially type 2) who were visiting specialized clinics and hospitals of Gujrat state, India. A validated questionnaire survey was designed to collect data, which included questions about demographics, information pertaining to other, use of cellphones, the Internet, and the intention to implement smartphones for diabetes monitoring, self-care, and self-management. A highest number of studied participants have mobile phone (97.5%) and smartphones (87%) and access the Internet on daily basis (83.5%). Younger participants were more inclined to use smartphone apps and have also shown more interest for continuous use in the future (p < 0.01). The majority of participants used apps for nutritional planning (85.5%), to monitor glucose control (76.5%), and for scheduling of diabetes appointments on the calendar (90.5%). Recommendations to use mobile app by doctors or healthcare profession were reported by 20.5% of the participants and attitude and future intention to use mobile apps were reported by the majority of participants. The majority of type 2 diabetes patients choose to use their cellphones and the internet or mobile phone reminder system for medication as well as to plan their diets, monitor their blood sugar levels, and communicate with their doctors. The findings of this research can be used to develop strategies and implement mHealth-based therapies to assist patients with type 2 diabetes to efficiently manage their health and might contribute to reducing patients' out-of-pocket expenditure as well as reducing disability-adjusted life years (DAILY) attributed by DM.

Digital interventions self-management education for type 1 and 2 diabetes: A systematic review and meta-analysis

OBJECTIVE

To describe and assess digital health-led diabetes self-management education and support (DSMES) effectiveness in improving glycosylated hemoglobin, diabetes knowledge, and health-related quality of life (HrQoL) of Type 1 and 2 Diabetes in the past 10 years.

DESIGN

Systematic Review and Meta-Analysis. The protocol was registered on PROSPERO registration number CRD42019139884.

DATA SOURCES

PubMed, EMBASE, Cochrane library, Web of Science, and Scopus between January 2010 and August 2019. Study Selection and Appraisal: Randomized control trials of digital health-led DSMES for Type 1 (T1DM) or 2 (T2DM) diabetes compared to usual care were included. Outcomes were change in HbA1c, diabetes knowledge, and HrQoL. Cochrane Risk of Bias 2.0 tool was used to assess bias and GRADEpro for overall quality. The analysis involved narrative synthesis, subgroup and pooled meta-analyses.

RESULTS

From 4286 articles, 39 studies (6861 participants) were included. Mean age was 51.62 years, range (13-70). Meta-analysis revealed intervention effects on HbA1c for T2DM with difference in means (MD) from baseline -0.480% (-0.661, -0.299), I²75% (6 months), -0.457% (-0.761, -0.151), I² 81% (12 months), and for T1DM -0.41% (-1.022, 0.208) I² 83% (6 months), -0.03% (-0.210, 0.142) I² 0% (12 months). Few reported HrQoL with Hedges' g 0.183 (-0.039, 0.405), I² 0% (6 months), 0.153 (-0.060, 0.366), I² 0% (12 months) and diabetes knowledge with Hedges' g 1.003 (0.068, 1.938), I² 87% (3 months).

CONCLUSION

Digital health-led DSMES are effective in improving HbA1c and diabetes knowledge, notably for T2DM. Research shows non-significant changes in HrQoL. Intervention effect on HbA1c was more impressive if delivered through mobile apps or patient portals. Further research is needed on the impact of DSMES on these outcomes, especially for newly diagnosed diabetes patients.

An integrative review of chronic illness mHealth self-care interventions: Mapping technology features to patient outcomes

Mobile health (mHealth)-hand-held technologies to address health priorities-has significant potential to answer the growing need for patient chronic illness self-care interventions. Previous reviews examined mHealth effect on patient outcomes. None have a detailed examination and mapping of specific technology features to targeted health outcomes. Examine recent chronic illness mHealth self-care interventions; map the study descriptors, mHealth technology features, and study outcomes. (1) Information extracted from PubMed, CINAHL, and Web of Science databases for clinical outcomes studies published 2010-January 2020; and (2) realist synthesis techniques for within and across case analysis. From 652 records, 32 studies were examined. Median study duration was 19.5 weeks. Median sample size was 62 participants. About 47% of interventions used solely patient input versus digital input; 50% sent tailored messages versus generic messages; 22% augmented the intervention with human interaction. Studies with positive clinical outcomes had higher use of digital input. Software descriptions were lacking. Most studies built interventions: only two incorporated target audience participation in development. We recommend researchers provide sufficient system description detail. Future research includes: data input characteristics; impact of augmentation with human interaction on outcomes; and development decisions.

Effectiveness and acceptability of a text message intervention (DTEXT) on HbA1c and self-management for people with type 2 diabetes. A randomized controlled trial

OBJECTIVE

Determine the effectiveness and acceptability of a text message intervention (DTEXT) on HbA1c and self-management behaviors for Australian adults with type 2 diabetes.

METHODS

Using intention to treat analysis and generalized estimating equations, this randomized controlled trial of 395 adults determined change in HbA1c at 3 and 6 months between the intervention and control group. Secondary outcomes included change in nutrition, physical activity, blood lipid profile, body mass index, quality of life, self-efficacy, medication taking and program acceptability.

RESULTS

No significant difference was observed between the intervention or control group for HbA1c at 3 months (P = 0.23) or 6 months (P = 0.22). Significant improvements were seen in consumption of vegetables at 3 months (P < 0.001) and 6 months (P = 0.04); fruit at 3 months (P = 0.046) and discretionary sweet foods at 3 months (P = 0.02). No other significant effects seen. The intervention demonstrated high rates of acceptability (94.0%) and minimal withdrawal (1.5%).

CONCLUSIONS

DTEXT was an acceptable text message intervention that improved some nutritional behaviors in people with type 2 diabetes, but did not significantly improve HbA1c or other outcomes. Further research is required to optimize DTEXT.

PRACTICE IMPLICATIONS

DTEXT provides an acceptable, feasible form of self-management support that may complement existing diabetes care.

The Influence of Baseline Hemoglobin A1c on Digital Health Coaching Outcomes in Adults With Type 2 Diabetes: Real-World Retrospective Cohort Study

BACKGROUND

Digital health coaching is an increasingly common diabetes self-management support strategy for individuals with type 2 diabetes and has been linked to positive mental and physical health outcomes. However, the relationship between baseline risk and outcomes is yet to be evaluated in a real-world setting.

OBJECTIVE

The purpose of this real-world study was to evaluate trends in digital health coaching outcomes by baseline hemoglobin A1c (HbA1c) to better understand which populations may experience the greatest clinical and psychosocial benefit.

METHODS

A retrospective cohort study design was used to evaluate program effect in a convenience sample of participants in a 12-week digital health coaching program administered by Pack Health. Participants were referred through their health care provider, payer, or employer. The program included patient-centered lifestyle counseling and psychosocial support delivered via telephone, text, and/or email. Self-reported HbA1c and weight were collected at baseline and completion. Physical and mental health were assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health Short Form and the Diabetes Distress Scale-2. Changes in HbA1c, weight, BMI, and physical and mental health were analyzed within three participant cohorts stratified by baseline HbA1c level.

RESULTS

Participants with complete HbA1c data sets (n=226) were included in the analysis. The sample population was 71.7% (162/226) female, with 61.5% (139/226) identifying as white and 34.1% (77/226) as black. Most participants (184/226, 81.4%) reported a baseline HbA1c ≥7%, and 20.3% (46/226) were classified as high risk (HbA1c >9%). Across HbA1c cohorts, the mean baseline BMI was 35.83 (SD 7.79), and the moderate-risk cohort (7% ≤ HbA1c ≤ 9%) reported the highest mean value (36.6, SD 7.79). At 12 weeks, patients reported a significant decrease in HbAlc, and high-risk participants reduced their levels by the greatest margin (2.28 points; P<.001). Across cohorts, BMI improved by 0.82 (P<.001), with the moderate-risk cohort showing the greatest reduction (-0.88; P<.001). Overall, participants reported significant improvements for PROMIS scores, with the greatest change occurring in the high-risk cohort for whom physical health improved 3.84 points (P<.001) and mental health improved 3.3 points (P<.001). However, the lowest-risk cohort showed the greatest improvements in diabetes distress (-0.76; P=.005).

CONCLUSIONS

Acknowledging the limitations in this real-world study design, the results reported here suggest that adults with type 2 diabetes with a high baseline HbA1c or high BMI may benefit the most from patient-centered digital health coaching programs when compared to their lower risk counterparts. While all participants improved in physical and mental health categories, participants with high HbA1c experienced the greatest HbA1c reduction and individuals with the highest baseline BMI lost the most weight. These results may be used to inform referrals for patients who are more likely to benefit from digital health coaching.

Effects of a mobile health diabetes self-management program on HbA1C, self-management and patient satisfaction in adults with uncontrolled type 2 diabetes: a randomized controlled trial

Purpose

This study aimed to examine the effects of a three-month mobile health diabetes self-management program (MHDSMP) on glycemic control, diabetes self-management (DSM) behaviors and patient satisfaction in adults with uncontrolled type 2 diabetes (T2DM) in Thailand.

Design/methodology/approach

This was a three-arm, parallel-group, randomized controlled trial among 129 adults with uncontrolled T2DM who attended the medical outpatient department in a medical center. The participants were randomly assigned to the three study groups (n = 43 per group), including MHDSMP, telephone follow-up (TF) and usual care (UC). MHDSMP encompassed four components, including DSM engagement, DSM mobile application, motivational text messages and telephone coaching. Outcomes were evaluated at three-month end-of-study by using HbA1C and response to the Summary of Diabetes Self-Care Activities (SDSCA) and the Client Satisfaction Questionnaire (CSQ-8). Data were analyzed by using descriptive statistics and multivariate analysis of covariance (MANCOVA).

Findings

The findings revealed that at the end-of-study, HbA1C decreased from 7.80 to 7.17% (p < 0.001) in MHDSMP group, from 7.72 to 7.65% (p = 0.468) in TF group, and from 7.89 to 7.72% (p = 0.074) in UC group. Significantly higher SDSCA and CSQ-8 scores were also observed in MHDSMP compared to TF and UC groups (F = 12.283, F = 19.541, F = 8.552, p < 0.001, respectively).

Originality/value

This study demonstrated that MHDSMP adjunct with usual care is beneficial for patient outcomes in adults with uncontrolled T2DM in Thailand, compared to TF and UC groups.

Developing Messaging Content for a Physical Activity Smartphone App Tailored to Low-Income Patients: User-Centered Design and Crowdsourcing Approach

Background

Text messaging interventions can be an effective and efficient way to improve health behavioral changes. However, most texting interventions are neither tested nor designed with diverse end users, which could reduce their impact, and there is limited evidence regarding the optimal design methodology of health text messages tailored to low-income, low–health literacy populations and non-English speakers.

Objective

This study aims to combine participant feedback, crowdsourced data, and researcher expertise to develop motivational text messages in English and Spanish that will be used in a smartphone app–based texting intervention that seeks to encourage physical activity in low-income minority patients with diabetes diagnoses and depression symptoms.

Methods

The design process consisted of 5 phases and was iterative in nature, given that the findings from each step informed the subsequent steps. First, we designed messages to increase physical activity based on the behavior change theory and knowledge from the available evidence. Second, using user-centered design methods, we refined these messages after a card sorting task and semistructured interviews (N=10) and evaluated their likeability during a usability testing phase of the app prototype (N=8). Third, the messages were tested by English- and Spanish-speaking participants on the Amazon Mechanical Turk (MTurk) crowdsourcing platform (N=134). Participants on MTurk were asked to categorize the messages into overarching theoretical categories based on the capability, opportunity, motivation, and behavior framework. Finally, each coauthor rated the messages for their overall quality from 1 to 5. All messages were written at a sixth-grade or lower reading level and culturally adapted and translated into neutral Spanish by bilingual research staff.

Results

A total of 200 messages were iteratively refined according to the feedback from target users gathered through user-centered design methods, crowdsourced results of a categorization test, and an expert review. User feedback was leveraged to discard unappealing messages and edit the thematic aspects of messages that did not resonate well with the target users. Overall, 54 messages were sorted into the correct theoretical categories at least 50% of the time in the MTurk categorization tasks and were rated 3.5 or higher by the research team members. These were included in the final text message bank, resulting in 18 messages per motivational category.

Conclusions

By using an iterative process of expert opinion, feedback from participants that were reflective of our target study population, crowdsourcing, and feedback from the research team, we were able to acquire valuable inputs for the design of motivational text messages developed in English and Spanish with a low literacy level to increase physical activity. We describe the design considerations and lessons learned for the text messaging development process and provide a novel, integrative framework for future developers of health text messaging interventions.

A User-Informed, Theory-Based Pregnancy Prevention Intervention for Adolescents in the Emergency Department: A Prospective Cohort Study

PURPOSE

Female adolescents seeking emergency department (ED) care are at high risk of unintended pregnancy, primarily because of contraceptive nonuse; yet, few ED patients follow up for reproductive care when referred. The objective of this cohort study was to determine the feasibility, acceptability, adoption, fidelity, and potential efficacy of a personalized and interactive ED-based pregnancy prevention mobile health intervention (Emergency Room Interventions to improve the Care of Adolescents [Dr. Erica]).

METHODS

We conducted a prospective cohort study with sexually active female ED patients aged 14-19 years who were not using highly effective contraceptives. Dr. Erica consists of a 10-week, automated, two-way texting intervention based on an evidence-based sexual health curriculum, the Social Cognitive Theory, and motivational interviewing techniques. At 12 weeks, we conducted follow-up via online survey and phone call to measure feasibility, acceptability, adoption, fidelity, and preliminary efficacy data (contraception initiation).

RESULTS

We screened 209 female ED patients to enroll 42. The average age was 17.5 years (standard deviation ± 1.4); the majority were Hispanic (n = 37, 88%) and had a primary provider (n = 40, 95%). One participant opted out (1/42, 2%), and a total of 35 participants (83%) completed follow-up. Although interactivity diminished with time, 83% of participants (35/42) replied to one or more text. Ninety-four percent of participants (29/31) liked the messages, and 83% (25/30) would recommend the program. Hormonal contraceptives were initiated by 46% of participants (16/35).

CONCLUSIONS

Dr. Erica was feasible and acceptable among female adolescent ED patients and demonstrated high fidelity and adoption. The intervention also showed potential to increase highly effective contraceptive use among high-risk females.

Using the RE-AIM framework to evaluate internal and external validity of mobile phone-based interventions in diabetes self-management education and support

OBJECTIVE

We evaluated the extent to which studies that tested short message service (SMS)- and application (app)-based interventions for diabetes self-management education and support (DSMES) report on factors that inform both internal and external validity as measured by the RE-AIM (Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance) framework.

MATERIALS AND METHODS

We systematically searched PubMed, Embase, Web of Science, CINAHL (Cumulative Index of Nursing and Allied Health Literature), and IEEE Xplore Digital Library for articles from January 1, 2009, to February 28, 2019. We carried out a multistage screening process followed by email communications with study authors for missing or discrepant information. Two independent coders coded eligible articles using a 23-item validated data extraction tool based on the RE-AIM framework.

RESULTS

Twenty studies (21 articles) were included in the analysis. The comprehensiveness of reporting on the RE-AIM criteria across the SMS- and app-based DSMES studies was low. With respect to internal validity, most interventions were well described and primary clinical or behavioral outcomes were measured and reported. However, gaps exist in areas of attrition, measures of potential negative outcomes, the extent to which the protocol was delivered as intended, and description on delivery agents. Likewise, we found limited information on external validity indicators across adoption, implementation, and maintenance domains.

CONCLUSIONS

Reporting gaps were found in internal validity but more so in external validity in the current SMS- and app-based DSMES literature. Because most studies in this review were efficacy studies, the generalizability of these interventions cannot be determined. Future research should adopt the RE-AIM dimensions to improve the quality of reporting and enhance the likelihood of translating research to practice.

Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial

BACKGROUND

Patients with poorly controlled type 2 diabetes (T2D) experience increased morbidity, increased mortality, and higher cost of care. Self-monitoring of blood glucose (SMBG) is a critical component of diabetes self-management with established diabetes outcome benefits. Technological advancements in blood glucose meters, including cellular-connected devices that automatically upload SMBG data to secure cloud-based databases, allow for improved sharing and monitoring of SMBG data. Real-time monitoring of SMBG data presents opportunities to provide timely support to patients that is responsive to abnormal SMBG recordings. Such diabetes remote monitoring programs can provide patients with poorly controlled T2D additional support needed to improve critical outcomes.

OBJECTIVE

To evaluate 6 months of a diabetes remote monitoring program facilitated by cellular-connected glucose meter, access to a diabetes coach, and support responsive to abnormal blood glucose recordings greater than 400 mg/dL or below 50 mg/dL in adults with poorly controlled T2D.

METHODS

Patients (N=119) receiving care at a diabetes center of excellence participated in a two-arm, 12-month randomized crossover study. The intervention included a cellular-connected glucose meter and phone-based diabetes coaching provided by Livongo Health. The coach answered questions, assisted in goal setting, and provided support in response to abnormal glucose levels. One group received the intervention for 6 months before returning to usual care (IV/UC). The other group received usual care before enrolling in the intervention (UC/IV) for 6 months. Change in hemoglobin A_1c (HbA_1c) was the primary outcome, and change in treatment satisfaction was the secondary outcome.

RESULTS

Improvements in mean HbA_1c were seen in both groups during the first 6 months (IV/UC -1.1%, SD 1.5 vs UC/IV -0.8%, SD 1.5; P<.001). After crossover, there was no significant change in HbA_1c in IV/UC (mean HbA_1c change +0.2, SD 1.7, P=.41); however, those in UC/IV showed further improvement (mean HbA_1c change -0.4%, SD 1.0, P=.008). A mixed-effects model showed no significant treatment effect (IV vs UC) over 12 months (P=.06). However, participants with higher baseline HbA_1c and those in the first time period experienced greater improvements in HbA_1c. Both groups reported similar improvements in treatment satisfaction throughout the study.

CONCLUSIONS

Patients enrolled in the diabetes remote monitoring program intervention experienced improvements in HbA_1c and treatment satisfaction similar to usual care at a specialty diabetes center. Future studies on diabetes remote monitoring programs should incorporate scheduled coaching components and involve family members and caregivers.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03124043; https://clinicaltrials.gov/ct2/show/NCT03124043.