Self-management of diabetes in children and young adults using technology and smartphone applications

Designing a brief and simple intervention to help young people with type 1 diabetes to live well: Protocol for developing a novel intervention with participation from young people

Young people living with type 1 diabetes (T1D) navigate daily complex diabetes related tasks as they take on increasing (and eventually full) responsibility for managing their condition, in addition to developing their lives as independent adults. Alongside the need for careful day-to-day diabetes management, the psychosocial burden and mental health impact and stigma are well recognised. Despite advances in psychological care, many young people with diabetes still experience a greater mental health burden than those without diabetes. This study aims to develop a brief and simple intervention for young people with T1D that will support their wellbeing day to day, as required, and grow their ability to live confidently with their condition that requires lifelong meticulous management. Insights gained in this participatory study will guide the development and focus of the intervention which may involve a toolkit containing self-guided resources or which could be a series of recommendations on how to design a healthcare service with a support network that is tailored to the needs of young people. This study will consist of qualitative research and collaboration with young people with T1D and their siblings, friends, and peers to co-create a testable intervention. In Part 1, research interviews will be conducted with young people (16-24 years old) with T1D and, where possible, their siblings/peers to understand the day-to-day challenges of type 1 and what a novel intervention should address. Thematic analysis of interviews will inform the generation of a prototype intervention to take into part two, focus group discussions. Focus groups with (i) young people with T1D and, separately (ii) carers (comprising parents, carers, teachers, specialist nurses). Collaborative principles will be used to review, redesign and evolve the intervention to meet user needs. A blend of narrative and thematic analysis will inform the findings and report. Insights from Parts 1 and 2 will shape a user-defined and formatively analysed brief and simple intervention and future study design ready for pilot testing. The aim of this part of the research is to maximise acceptability and usability of a testable intervention by the target population. To aim of the future intervention will be to demonstrate effectiveness in helping young adults to live well with T1D.

Use of Telemedicine in Pediatric Services for 4 Representative Clinical Conditions: Scoping Review

Background

Telemedicine is becoming routine in health care. Postpandemic, a universal return to face-to-face consultations may risk a loss of some of the advantages of telemedicine. However, rapid implementation and adoption without robust evaluation of usability, efficacy, and effectiveness could potentially lead to suboptimal health outcomes and downstream challenges to providers.

Objective

This review assesses telemedicine interventions against international guidance and sufficiency of evidence to support postpandemic utilization in pediatric settings.

Methods

This scoping review was performed following searches on PubMed, Embase, and CINAHL databases on April 15, 2021, and May 31, 2022, and examined studies focused on telemedicine, remote consultation, video call, or remote patient monitoring in children (0-18 years) receiving outpatient care for diabetes, asthma, epilepsy, or renal disease. Exclusion criteria included studies published before 2011 as the technologies used have likely been improved or replaced, studies in adult populations or where it was not possible to disaggregate data for participants younger than 18 years as the focus of the review was on pediatric care, and studies not published in English. Data were extracted by 4 authors, and the data were corroborated by a second reviewer. Studies were examined for feasibility and usability, clinical and process outcomes, and cost-effectiveness.

Results

Of the 3158 studies identified, 56 were suitable for final inclusion and analysis. Data on feasibility or usability of interventions (48 studies) were overwhelmingly positive in support of telemedicine interventions, with common themes including convenience, perceived cost savings, and ease of use. However, use in preference to usual care was rarely explored. Clinical and process outcome data (31 studies) were mostly positive. Across all studies, there was limited measurement of standardized clinical outcomes, although these were more commonly reported in asthma (peak flow) and diabetes (glycated hemoglobin [HbA1c]). Implementation science data generally supported cost-effectiveness of telemedicine with a reduction of health care costs.

Conclusions

There is promising evidence supporting telemedicine in pediatric settings. However, there is a lack of evaluation of telemedicine in comparison with usual outpatient care for noninferiority of clinical outcomes, and this review highlights the need for a more standardized approach to evaluation of digital interventions.

State of the science: A scoping review and gap analysis of adolescent insulin pump self-management

PURPOSE

Adolescent diabetes outcomes remain poor despite increased use of diabetes technologies such as insulin pump therapy. Meaningful research examining adolescent insulin pump self-management has been done, however, a summary of these self-management findings has not been published. The aim of this literature review is to map, evaluate, and summarize existing adolescent insulin pump self-management research.

METHOD

A scoping review of three databases was conducted to comprehensively report and synthesize relevant literature published before September 2019.

RESULTS

Of the 1295 titles identified, 18 articles met the inclusion criteria and were included in this scoping review. Key insulin pump self-management behaviors were featured in the literature, most notably self-monitoring of blood glucose (SMBG) and bolus frequency. Several factors were found to influence pump self-management including psychological factors, parental support and self-management transition, insulin pump education and knowledge acquisition, and environmental factors. We uncovered five gaps in the literature including: an unclear delineation of adolescent age; limited minority representation; variability in the definitions and reporting of self-management behaviors; the role of data sharing and remote monitoring was not addressed; and there remains limited inquiry into diabetes burden and distress associated with insulin pump self-management.

PRACTICE IMPLICATIONS

There exists a consensus that well-established behaviors, such as bolus and SMBG frequency, influence glycemic outcomes for adolescent insulin pump users, however, full insulin pump utilization and self-management is poorly understood. Diabetes clinicians should work to support adolescent insulin pump self-management practices by reinforcing bedrock behaviors while fostering supportive factors found to influence pump self-management.

Home-Monitoring Application for Children With Medical Complexity: A Feasibility Trial

OBJECTIVES

Mobile apps are suggested for supporting home monitoring and reducing emergency department (ED) visits and hospitalizations for children with medical complexity (CMC). None have been implemented. We sought to assess the MyChildCMC app (1) feasibility for CMC home monitoring, (2) ability to detect early deteriorations before ED and hospital admissions, and (3) preliminary impact.

METHODS

Parents of CMC (aged 1-21 years) admitted to a children's hospital were randomly assigned to MyChildCMC or usual care. MyChildCMC subjects recorded their child's vital signs and symptoms daily for 3 months postdischarge and received real-time feedback. Feasibility measures included parent's enrollment, retention, and engagement. The preliminary impact was determined by using quality of life, parent satisfaction with care, and subsequent ED and hospital admissions and hospital days.

RESULTS

A total of 62 parents and CMC were invited to participate: 50 enrolled (80.6% enrollment rate) and were randomly assigned to MyChildCMC (n = 24) or usual care (n = 26). Retention at 1 and 3 months was 80% and 74%, and engagement was 68.3% and 62.6%. Run-chart shifts in vital signs were common findings preceding admissions. The satisfaction score was 26.9 in the MyChildCMC group and 24.1 in the control group (P = .035). No quality of life or subsequent admission differences occurred between groups. The 3-month hospital days (pre-post enrollment) decreased from 9.25 to 4.54 days (rate ratio = 0.49; 95% confidence interval = 0.39-0.62; P < .001) in the MyChildCMC group and increased from 1.08 to 2.46 days (rate ratio = 2.29; 95% confidence interval = 1.47-3.56; P < .001) in the control group.

CONCLUSIONS

MyChildCMC was feasible and appears effective, with the potential to detect early deteriorations in health for timely interventions that might avoid ED and hospitalizations. A larger and definitive study of MyChildCMC's impact and sustainability is needed.

Text message reminders for adolescents with poorly controlled type 1 diabetes: A randomized controlled trial

Background

Among adolescents with type 1 diabetes, some experience great difficulties with treatment adherence, putting them at high risk of complications. We assessed the effect of text messaging (Short Messaging Service [SMS]) on glycemic control.

Methods

A two-arm open label randomized controlled trial enrolled adolescents with type 1 diabetes aged 12–21 years with baseline HbA1c ≥ 69 mmol/mol (8.5%). The intervention group received daily SMS reminders at self-selected times about insulin injections while the control group received standard of care. The patients allocated to the control group were not aware of the intervention.

Results

92 patients were randomized, 45 in the SMS arm and 47 in the control arm. After 6 months, median HbA1c level was significantly lower in the intervention arm: 73 mmol/mol (8.8%) in the SMS arm and 83 mmol/mol (9.7%) in the control arm in the intent-to-treat analysis (P = 0.03) but no longer in the per protocol analysis (P = 0.65). When we consider the proportions of patients whose HbA1c level decreased by at least 1% between baseline and 6 months, we find a significant difference among patients whose baseline HbA1c was ≥ 80 mmol/mol (9.5%) (n = 56): 60% in the SMS arm and 30.6% in the control arm had lowered their HbA1c level (P = 0.03) in the intent-to-treat analysis but not in the per-protocol analysis (P = 0.50). Patients in the SMS arm reported high satisfaction with the intervention.

Conclusions

While there is a trend to lower HbA1c in the intervention group, no firm conclusions can yet be drawn. Further studies are needed to address methodological issues as we believe these interventions can support behavior change among adolescents with poorly controlled type 1 diabetes. ClinicalTrials.gov identifier: NCT02230137.

Impact of telemedicine on health outcomes in children with medical complexity: an integrative review

Children with medical complexity (CMC) are a high priority population with chronic illnesses dependent on the use of health services, on technological systems to support their vital functions and characterized by multiple health needs. One of the main challenges linked to chronic conditions is finding solutions to monitor CMC at home, avoiding re-hospitalization and the onset of complications. Telemedicine enables to remotely follow up patients and families. An integrative review was performed to assess whether telemedicine improves health outcomes for CMC. Medline/PubMed, CINAHL, Cochrane Library, Web of Science, and Scopus were searched to identify studies describing the effect of using telemedicine systems on health outcomes for CMC. The PRISMA guidelines were used to select the papers. The methodological quality of the studies was evaluated through the Johanna Briggs Institute critical appraisal tools and the Cochrane Collaboration ROB 2.0. A total of 17 papers met the quality criteria and were included. Specialized telemedicine systems (tele-visits), telehealth, and tele-monitoring have been reported to reduce unplanned hospitalizations and visits, decrease total costs for healthcare services and families, and increase satisfaction for family members. No effect was found on the quality of life in children and their families.Conclusion: Available evidence supporting the use of telemedicine in CMC is favorable but limited. High-quality methodological studies including other unexplored health outcomes such as mental health, hospital readmissions, mortality, caregiver competences, and self-efficacy are needed to confirm the effectiveness of telemedicine systems in improving health outcomes for CMC. What is Known: • CMC are an extremely fragile patient population with frequent access to healthcare services compared with other chronic conditions. • There is conflicting evidence of the effectiveness of telemedicine clinical outcomes, healthcare utilization, and costs in pediatrics. What is New: • There is some evidence that for CMC, telemedicine reduces unplanned hospitalizations, healthcare service costs, and financial burden for families, while increasing caregivers' satisfaction with care. • Further research is needed to confirm the effectiveness of telemedicine systems in improving health for CMC.

Factors Influencing Adherence Among Youth with Type-1-Diabetes Mellitus - The Hungarian Case

Background and Introduction: Due to the increasing prevalence of type-1-diabetes, an increasing number of studies have drawn attention to its psychological effects and long-term consequences. As Type 1 Diabetes Mellitus is a chronic, non-curable, yet maintainable condition, with the affected children and their families facing a lifelong challenge, our research focuses on the factors influencing adherence.

METHODS

The adherence of youth was examined in a sample involving 114 patients treated in the Medical and Health Science Centre at the University of Debrecen by employing a new adherence questionnaire (DAQ abbreviated version, Munkácsi et al. 2019) (DAF 2017; N=114). The influence of socio- demographic variables and those related to the disease (age at the time of diagnosis, the time elapsed since diagnosis, method of treatment, the time elapsed since the use of the pump) was measured by linear regression. Furthermore, the between-group comparisons were made by independent sample t-tests and variance analysis. The investigation was carried out between September 2017 and May 2018.

RESULTS

The effect of using insulin pump as therapy turned out to be significant and positive (0.36. p=0.045). It was observed that the adherence of the patients using insulin pump was higher while the effect of the age at the diagnosis had a significantly negative effect (-.247, p=0.035). Thus, earlier detection of the disease may lead to a higher level of adherence. The effects of the socio-demographic variables (gender, family structure, educational level, type of the settlement, owning sibling and birth order) were not significant (p>0.05). Regarding the between-group comparisons, a significant difference could be pointed out concerning the siblings and birth-order as the adherence of those with siblings was higher (p=0.044). Moreover, concerning insulin pump therapy, the adherence of patients using pump was significantly better (p=0.048). Also, regarding the age of the diagnosis, the adherence of those diagnosed before 12 was seemingly higher (p=0.039). Concerning the other socio-demographical and disease-related variables, no significant differences could be detected.

CONCLUSION

The results suggest that the treatment has an outstanding role in the adherence of the disease. Moreover, the role of the appropriate treatment, living conditions as well as the early diagnosis is relevant.

Glycemic Status Assessment by the Latest Glucose Monitoring Technologies

The advanced and performing technologies of glucose monitoring systems provide a large amount of glucose data that needs to be properly read and interpreted by the diabetology team in order to make therapeutic decisions as close as possible to the patient's metabolic needs. For this purpose, new parameters have been developed, to allow a more integrated reading and interpretation of data by clinical professionals. The new challenge for the diabetes community consists of promoting an integrated and homogeneous reading, as well as interpretation of glucose monitoring data also by the patient himself. The purpose of this review is to offer an overview of the glycemic status assessment, opened by the current data management provided by latest glucose monitoring technologies. Furthermore, the applicability and personalization of the different glycemic monitoring devices used in specific insulin-treated diabetes mellitus patient populations will be evaluated.

Creating a Smartphone App for Caregivers of Children With Atopic Dermatitis With Caregivers, Health Care Professionals, and Digital Health Experts: Participatory Co-Design

Background

Smartphone apps could support patients and caregivers in disease self-management. However, as patients’ experiences and needs might not always align with clinical judgments, the eliciting and engaging of perspectives of all stakeholders in the smartphone app design process is of paramount importance.

Objective

The aims of this study are to better understand the needs of and challenges facing caregivers and health care professionals (HCPs) who care for children with atopic dermatitis (AD) and to explore the desirable features and content of a smartphone app that would support AD self-management.

Methods

This study adopted a qualitative participatory co-design methodology involving 3 focus group discussions: workshop one focused on caregivers; workshop two engaged with HCPs; and in the last workshop, caregivers and digital health experts were asked to design the wireframe prototype. The participants completed a sociodemographic questionnaire, a technology acceptance questionnaire, and a workshop evaluation form.

Results

Twelve caregivers participated in the first workshop, and 10 HCPs participated in the second workshop. Eight caregivers and 4 digital health experts attended the third workshop. Three superordinate themes that reflected caregivers’ and HCPs’ challenges and needs were identified: empowerment by education, confusion over treatment, and emotional impact. Workshop participants also raised a series of suggestions on the features and contents of the AD self-management app, which informed the last co-design workshop, and described their needs and challenges. In the last workshop, the participants developed a wireframe prototype of the app following the identified requirements and recommendations.

Conclusions

The co-design approach was found to be a successful way of engaging with the participants, as it allowed them to express their creativity and helped us to articulate the root of the clinical problems. The co-design workshop was successful in creating and generating new ideas and solutions for smartphone app development.

Application of WeChat-assisted peri-operative care in children with congenital megacolon

AIM

This study explored the clinical effects of WeChat-based peri-operative care on parents of children with congenital megacolon.

METHODS

Participants were randomly divided into WeChat group and telephone group. This study explored parents' knowledge of the care of children with megacolon, the follow-up rate of children, post-operative defaecation function and complications.

RESULTS

WeChat group scored better in nursing knowledge than telephone group, and the difference was statistically significant. The lost follow-up rate in WeChat group was lower than that in telephone group, and the difference was statistically significant. Post-operative defaecation was also better in the WeChat group than in the phone group. Most complications in the phone group were significantly higher than those in the WeChat group.

CONCLUSION

Peri-operative care for parents of children with megacolon through WeChat can effectively enhance the level of parental care knowledge, improve defaecation, reduce the occurrence of certain complications and reduce lost follow-up.

Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study

Background

Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases.

Objective

The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources.

Methods

Data from the seventh survey of the Tromsø Study (Tromsø 7) were analyzed to determine how different diseases influence the use of different eHealth resources. Specifically, the eHealth resources considered were use of apps, search engines, video services, and social media. The analysis contained data from 21,083 participants in the age group older than 40 years. A total of 15,585 (15,585/21,083; 73.92%) participants reported to have suffered some disease, 10,604 (10,604/21,083; 50.29%) participants reported to have used some kind of eHealth resource in the last year, and 7854 (7854/21,083; 37.25%) participants reported to have used some kind of eHealth resource in the last year and suffered (or had suffered) from some kind of specified disease. Logistic regression was used to determine which diseases significantly predicted the use of each eHealth resource.

Results

The use of apps was increased among those individuals that (had) suffered from psychological problems (odds ratio [OR] 1.39, 95% CI 1.23-1.56) and cardiovascular diseases (OR 1.12, 95% CI 1.01-1.24) and those part-time workers that (had) suffered from any of the diseases classified as others (OR 2.08, 95% CI 1.35-3.32). The use of search engines for accessing health information increased among individuals who suffered from psychological problems (OR 1.39, 95% CI 1.25-1.55), cancer (OR 1.26, 95% CI 1.11-1.44), or any of the diseases classified as other diseases (OR 1.27, 95% CI 1.13-1.42). Regarding video services, their use for accessing health information was more likely when the participant was a man (OR 1.31, 95% CI 1.13-1.53), (had) suffered from psychological problems (OR 1.70, 95% CI 1.43-2.01), or (had) suffered from other diseases (OR 1.43, 95% CI 1.20-1.71). The factors associated with an increase in the use of social media for accessing health information were as follows: (had) suffered from psychological problems (OR 1.65, 95% CI 1.42-1.91), working part time (OR 1.35, 95% CI 0.62-2.63), receiving disability benefits (OR 1.42, 95% CI 1.14-1.76), having received an upper secondary school education (OR 1.20, 95% CI 1.03-1.38), being a man with a high household income (OR 1.67, 95% CI 1.07-2.60), suffering from cardiovascular diseases and having a high household income (OR 3.39, 95% CI 1.62-8.16), and suffering from respiratory diseases while being retired (OR 1.95, 95% CI 1.28-2.97).

Conclusions

Our findings show that different diseases are currently associated with the use of different eHealth resources. This knowledge is useful for those who plan eHealth interventions as they can take into account which type of eHealth resource may be used for gaining the attention of the different user groups.

Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?

PURPOSE OF REVIEW

To review the current state of diabetes technology adoption and describe impact on outcomes in the context of age, gender, and ethnicity. We will discuss barriers and propose solutions that may help facilitate the adoption.

RECENT FINDINGS

We are witnessing rapid evolution and increase in adoption of diabetes technology in all its forms, including insulin delivery and glucose monitoring devices, mobile medical applications, and telemedicine. This technology has a great potential to improve diabetes-related outcomes, including acute and chronic complications as well as quality of life for people living with diabetes. However, currently available outcome data are showing modest efficacy and evidence for disparities when it comes to age, gender, and ethnicity. Despite multiple barriers, the adoption of technology is steadily increasing. It is clear that disparities exist in terms of access to and use of technology, but they may be at least in part driven by unmet needs of end users and as such are not unsurmountable. While more research is needed to identify the specific causes for the disparities, future development of diabetes technology that is based on adaptation of behavioral theories has a potential to address the gaps. The disparities can be lessened by understanding the needs of end users and with improvement in personalization of technology, allowing the right device to be used by the right patient. Targeted interventions to increase awareness and education and help navigate the processes involved in currently available technology may help diminish the gaps in health equity.

The Beneficial Effect of the Mobile Application Euglyca in Children and Adolescents with Type 1 Diabetes Mellitus: A Randomized Controlled Trial

Background: Euglyca^® is a mobile application which we developed for children and adolescents suffering type 1 diabetes mellitus (T1DM) for calculation of the appropriate insulin bolus dose by importing in the equation carbohydrates, lipids, glucose levels, and personalized parameters. Aim of this study is to evaluate the efficacy of this application on patients' glycemic control and satisfaction. Subjects and Methods: Eighty children and adolescents (aged 13.5 ± 2.8 years old, mean ± standard deviation) with T1DM were included in the study and were randomly and equally assigned in two groups. Patients were asked to use Euglyca for the calculation of the bolus insulin dose in the E group and to pursue their routine calculations in the C group (controls). At baseline and at 3, 6, and 12 months following the initial visit, glycated hemoglobin (HbA1c) values, percentages of hypoglycemias, hyperglycemias, and normoglycemias were determined for each patient, while Diabetes Treatment Satisfaction Questionnaire (DTSQ) was used to assess patients' treatment satisfaction at baseline and at 6 and 12 months. Results: Children and adolescents in the E group had a statistically significant decrease in HbA1c values and increase in percentages of normoglycemias and DTSQ scores, in comparison to children and adolescents in the C group. In the E group, a statistically significant positive linear correlation was found between DTSQ score and percentages of normoglycemias and a statistically significant negative correlation between changes in percentages of normoglycemias (Δnormoglycemias) and changes in HbA1c (ΔHbA1c). Conclusions: The use of the mobile application Euglyca contributes to the improvement of glycemic control and treatment satisfaction of children and adolescents with T1DM.

Using Commercial Physical Activity Trackers for Health Promotion Research: Four Case Studies

BACKGROUND

Wearable physical activity (PA) trackers are becoming increasingly popular for intervention and assessment in health promotion research and practice. The purpose of this article is to present lessons learned from four studies that used commercial PA tracking devices for PA intervention or assessment, present issues encountered with their use, and provide guidelines for determining which tools to use.

METHOD

Four case studies are presented that used PA tracking devices (iBitz, Zamzee, FitBit Flex and Zip, Omron Digital Pedometer, Sensewear Armband, and MisFit Flash) in the field-two used the tools for intervention and two used the tools as assessment methods.

RESULTS

The four studies presented had varying levels of success with using PA devices and experienced several issues that impacted their studies, such as companies that went out of business, missing data, and lost devices. Percentage ranges for devices that were lost were 0% to 29% and was 0% to 87% for those devices that malfunctioned or lost data.

CONCLUSIONS

There is a need for low-cost, easy-to-use, accurate PA tracking devices to use as both intervention and assessment tools in health promotion research related to PA.

Intensive remote monitoring versus conventional care in type 1 diabetes: A randomized controlled trial

OBJECTIVE

While frequent contact with diabetes care providers may improve glycemic control among patients with type 1 diabetes (T1D), in-person visits are labor-intensive and costly. This study was conducted to assess the impact of an intensive remote therapy (IRT) intervention for pediatric patients with T1D.

METHODS

Pediatric patients with T1D were randomized to IRT or conventional care (CC) for 6 months. Both cohorts continued routine quarterly clinic visits and uploaded device data; for the IRT cohort, data were reviewed and patients were contacted if regimen adjustments were indicated. Glycated hemoglobin (HbA1c) change from baseline was assessed at 6 and 9 months. Diabetes-related quality of life (QoL), healthcare services utilization, and hypoglycemic events were also tracked.

RESULTS

Among 117 enrollees (60 IRT, 57 CC), mean (SD) 6-month %HbA1c change for IRT vs CC was -0.34 (0.85) (-3.7 mmol/mol) vs -0.05 (0.74) (-0.5 mmol/mol) overall (P = .071); -0.15 (0.67) (1.6 mmol/mol) vs -0.02 (0.66) (0.2 mmol/mol) for ages 8 to 12 (P = .541); and -0.50 (0.95) (-5.5 mmol/mol) vs -0.06 (0.80) (-0.7 mmol/mol) for ages 13 to 17 (P = .056). Diabetes-related QoL increased by 6.5 and 1.3 points for IRT and CC, respectively (P = .062). Three months after intervention cessation, %HbA1c changed minimally among treated children aged 8 to 12 but increased by 0.22 (0.89) (2.4 mmol/mol) among those aged 13 to 17.

CONCLUSIONS

IRT substantially affected diabetes metrics and improved QoL among pediatric patients with T1D. Adolescents experienced a stronger treatment effect, but had difficulty in sustaining improved control after intervention cessation.

The role of digital communication in patient–clinician communication for NHS providers of specialist clinical services for young people [the Long-term conditions Young people Networked Communication (LYNC) study]: a mixed-methods study

Background

Young people (aged 16–24 years) with long-term health conditions tend to disengage from health services, resulting in poor health outcomes. They are prolific users of digital communications. Innovative UK NHS clinicians use digital communication with these young people. The NHS plans to use digital communication with patients more widely.

Objectives

To explore how health-care engagement can be improved using digital clinical communication (DCC); understand effects, impacts, costs and necessary safeguards; and provide critical analysis of its use, monitoring and evaluation.

Design

Observational mixed-methods case studies; systematic scoping literature reviews; assessment of patient-reported outcome measures (PROMs); public and patient involvement; and consensus development through focus groups.

Setting

Twenty NHS specialist clinical teams from across England and Wales, providing care for 13 different long-term physical or mental health conditions.

Participants

One hundred and sixty-five young people aged 16–24 years living with a long-term health condition; 13 parents; 173 clinical team members; and 16 information governance specialists.

Interventions

Clinical teams and young people variously used mobile phone calls, text messages, e-mail and voice over internet protocol.

Main outcome measures

Empirical work – thematic and ethical analysis of qualitative data; annual direct costs; did not attend, accident and emergency attendance and hospital admission rates plus clinic-specific clinical outcomes. Scoping reviews–patient, health professional and service delivery outcomes and technical problems. PROMs: scale validity, relevance and credibility.

Data sources

Observation, interview, structured survey, routinely collected data, focus groups and peer-reviewed publications.

Results

Digital communication enables access for young people to the right clinician when it makes a difference for managing their health condition. This is valued as additional to traditional clinic appointments. This access challenges the nature and boundaries of therapeutic relationships, but can improve them, increase patient empowerment and enhance activation. Risks include increased dependence on clinicians, inadvertent disclosure of confidential information and communication failures, but clinicians and young people mitigate these risks. Workload increases and the main cost is staff time. Clinical teams had not evaluated the impact of their intervention and analysis of routinely collected data did not identify any impact. There are no currently used generic outcome measures, but the Patient Activation Measure and the Physicians’ Humanistic Behaviours Questionnaire are promising. Scoping reviews suggest DCC is acceptable to young people, but with no clear evidence of benefit except for mental health.

Limitations

Qualitative data were mostly from clinician enthusiasts. No interviews were achieved with young people who do not attend clinics. Clinicians struggled to estimate workload. Only eight full sets of routine data were available.

Conclusions

Timely DCC is perceived as making a difference to health care and health outcomes for young people with long-term conditions, but this is not supported by evidence that measures health outcomes. Such communication is challenging and costly to provide, but valued by young people.

Future work

Future development should distinguish digital communication replacing traditional clinic appointments and additional timely communication. Evaluation is needed that uses relevant generic outcomes.

Study registration

Two of the reviews in this study are registered as PROSPERO CRD42016035467 and CRD42016038792.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Young patients with type 1 diabetes poorly controlled and poorly compliant with self-monitoring of blood glucose: can technology help? Results of the i-NewTrend randomized clinical trial

AIMS

To compare iBGStar™ + DMApp (experimental meter + telemedicine system) (iBGStar) with a traditional glucose meter (Control) in type 1 diabetes adolescents/young adults.

METHODS

i-NewTrend was a multicenter, open-label, randomized trial involving subjects aged 14-24 years, on basal-bolus insulin, HbA1c ≥ 8.0%, and poorly compliant with SMBG (i.e., <30% of the recommended frequency). Primary end points were change in HbA1c and achievement of compliance with SMBG (≥30% of the recommended frequency) after 6 months. Quality of life was also evaluated. A post-trial observational phase was conducted, where both groups used the experimental device.

RESULTS

Of 182 randomized patients (51.1% male; age 17.7 ± 3.0 years; diabetes duration 8.8 ± 4.7 years; HbA1c levels 10.0% ± 1.4), 92 were allocated to iBGStar and 90 to Control; 6.5% in iBGStar and 8.9% in Control dropped-out. After 6 months, HbA1c changes (±SE) were -0.44% ± 0.13 in iBGStar and -0.32% ± 0.13 in Control (p = 0.51). In the post-trial phase, HbA1c changes from 6 months (±SE) were -0.07% ± 0.14 in iBGStar and -0.31% ± 0.14 in Control (p = 0.24). Compliance end point was reached by 53.6% in iBGStar and 55.0% in Control (p = 0.86). Mean daily SMBG measurements increased from 1.1 to 2.3 in both groups without worsening quality of life. Compliant subjects showed a greater reduction in HbA1c levels (-0.60% ± 0.23 in iBGStar; -0.41% ± 0.21 in Control; p = 0.31). Within iBGStar group, telemedicine users (38.0%) reduced HbA1c by -0.58 ± 0.18.

CONCLUSIONS

iBGStar was not superior to the traditional meter. Irrespective of the strategy, increasing from 1 to 2 SMBG tests/day was associated with HbA1c reduction in both groups, without pharmacologic interventions. Identifying new technologies effective and acceptable to patients is an option to improve adherence to diabetes care.

TRIAL REGISTRATION

The trial was registered at ClinicalTrials.gov (registration number NCT02073188).

Apps and intensive care medicine

Technological advances have played a key role over the last century in the development of humankind. Critical Care Medicine is one of the greatest examples of this revolution. Smartphones with multiple sensors constitute another step forward, and have led to the development of apps for use by both professionals and patients. We discuss their main medical applications in the field of Critical Care Medicine.

Evidence-based Mobile Medical Applications in Diabetes

This article reviews mobile medical applications that are commercially available in the United States or European Union (EU) and are (1) associated with published data of clinical outcomes in the peer-reviewed literature during the past 5 years, (2) cleared by the US Food and Drug Administration (FDA) in the United States, or (3) a recipient of a CE (Conformité Européenne) mark by the EU. Many of these applications have been shown to positively affect outcomes in the short term, but long-term studies are needed. Until more data are available, consumers and professionals can consider guidance based on FDA/CE status.

Sensor Monitoring of Physical Activity to Improve Glucose Management in Diabetic Patients: A Review

Diabetic individuals need to tightly control their blood glucose concentration. Several methods have been developed for this purpose, such as the finger-prick or continuous glucose monitoring systems (CGMs). However, these methods present the disadvantage of being invasive. Moreover, CGMs have limited accuracy, notably to detect hypoglycemia. It is also known that physical exercise, and even daily activity, disrupt glucose dynamics and can generate problems with blood glucose regulation during and after exercise. In order to deal with these challenges, devices for monitoring patients’ physical activity are currently under development. This review focuses on non-invasive sensors using physiological parameters related to physical exercise that were used to improve glucose monitoring in type 1 diabetes (T1DM) patients. These devices are promising for diabetes management. Indeed they permit to estimate glucose concentration either based solely on physical activity parameters or in conjunction with CGM or non-invasive CGM (NI-CGM) systems. In these last cases, the vital signals are used to modulate glucose estimations provided by the CGM and NI-CGM devices. Finally, this review indicates possible limitations of these new biosensors and outlines directions for future technologic developments.

Impact of long-term use of eHealth systems in adolescents with type 1 diabetes treated with sensor-augmented pump therapy

Telemedicine in diabetes includes telemonitoring and transmission of important data (self monitoring of blood glucose data, insulin therapy, pump setting, etc.) from the patient s home to the diabetic unit, with a real-time health feedback. Moreover, an eHealth approach is thought to facilitate diabetes management and to improve compliance to CSII/SAP treatment in adolescents, but to date, limited literature related to this topic is available and long-term studies are still lacking. The main aim of this study was to compare the long-term effect on glycometabolic control of eHealth intervention and traditional care in T1DM SAP-treated adolescents. In our study we demonstrated a favorable impact of monthly teleassistance on treatment compliance. Adolescents receiving frequent feedback provided by the medicalmultidisciplinary team, due to the telemonitoring, resulted more compliant in self-management of diabetes. In particular, the medical team feedback resulted in interventions on behavioral errors and insulin therapy adjustments, leading to an improved glycometabolic control.