Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study

Behavioral Nudging With Generative AI for Content Development in SMS Health Care Interventions: Case Study

BACKGROUND

Brief message interventions have demonstrated immense promise in health care, yet the development of these messages has suffered from a dearth of transparency and a scarcity of publicly accessible data sets. Moreover, the researcher-driven content creation process has raised resource allocation issues, necessitating a more efficient and transparent approach to content development.

OBJECTIVE

This research sets out to address the challenges of content development for SMS interventions by showcasing the use of generative artificial intelligence (AI) as a tool for content creation, transparently explaining the prompt design and content generation process, and providing the largest publicly available data set of brief messages and source code for future replication of our process.

METHODS

Leveraging the pretrained large language model GPT-3.5 (OpenAI), we generate a collection of messages in the context of medication adherence for individuals with type 2 diabetes using evidence-derived behavior change techniques identified in a prior systematic review. We create an attributed prompt designed to adhere to content (readability and tone) and SMS (character count and encoder type) standards while encouraging message variability to reflect differences in behavior change techniques.

RESULTS

We deliver the most extensive repository of brief messages for a singular health care intervention and the first library of messages crafted with generative AI. In total, our method yields a data set comprising 1150 messages, with 89.91% (n=1034) meeting character length requirements and 80.7% (n=928) meeting readability requirements. Furthermore, our analysis reveals that all messages exhibit diversity comparable to an existing publicly available data set created under the same theoretical framework for a similar setting.

CONCLUSIONS

This research provides a novel approach to content creation for health care interventions using state-of-the-art generative AI tools. Future research is needed to assess the generated content for ethical, safety, and research standards, as well as to determine whether the intervention is successful in improving the target behaviors.

Categorization of mHealth Coaching Technologies for Children or Adolescents With Type 1 Diabetes: Systematic Review

Background

Managing type 1 diabetes in children and adolescents can be difficult for parents, health care professionals, and even patients. However, over the last decades, the quality of services provided to patients with diabetes has increased due to advances in IT.

Objective

This study aims to comprehensively document the range of IT tools used in the management of diabetes among children and adolescents, with a focus on identifying the technologies most commonly used based on their frequency. In addition, the study aims to explore relevant methodologies for developing diabetes technology and provide valuable information to developers by delineating essential phases of the design process.

Methods

The literature search was focused on MEDLINE (PubMed), Web of Science, and Google Scholar for relevant studies. Keywords such as "type 1 diabetes," "adolescents," "kids," "mHealth," "children," and "coaching" were combined using Boolean operators. The inclusion criteria were open access, English-language papers published between 2012 and 2023 focusing on patients younger than 18 years and aligned with our research goal. The exclusion criteria included irrelevant topics and papers older than 18 years. By applying the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method, 2080 studies were recognized, and after selection, 33 papers were agreed upon between the researchers.

Results

Four primary categories were defined: types of IT, methodology identification, purpose identification, and feature determination. Among these, mobile health (mHealth) apps emerged as the predominant type of information, garnering 27 mentions. In particular, user-centered design was identified as the most prevalent methodology, cited 22 times. The primary purpose of self-monitoring blood glucose values was mentioned 20 times, while patient education was the highest among common characteristics, with 23 mentions.

Conclusions

Based on our research, we advocate for developers to focus on creating an mHealth app that integrates gamification techniques to develop innovative diabetes management solutions. This app should include vital functionalities such as blood glucose monitoring, strategies to improve hemoglobin A1c levels, carbohydrate tracking, and comprehensive educational materials for patients and caregivers. By prioritizing these features, developers can enhance the usability and effectiveness of the technology, thereby better supporting children or adolescents with diabetes in their daily management endeavors.

Social support in recently diagnosed diabetic patients: Risk factor for depression?

Background: social support is important for adaptation in chronic diseases, such as diabetes and depression, because it favors recovery and adherence to treatment. Introducing its evaluation in the follow-up of diabetic patients can reduce complications derived from secondary non-adherence. Aims: to establish social support in diabetic patients and its correlation with depressive symptoms. Methods: a cross-sectional analytical study nested in a cohort of 173 recently diagnosed diabetic patients (<6 months) in Colombia over 18 years of age, treated in a cardiovascular risk program in 2022. The Chronic Illness Social Support Inventory was used. Results: Most of the participants were women (77.5%); single(83.8%), age (mean = 62.6 years (SD 12.3)); glycemia (mean = 146.4 (SD 65.5)), glycosylated hemoglobin (mean = 7.6 (SD 1.7)). Cronbach's α coefficient for the general scale of the social support instrument was 0.9859. The mean social support was 168.5 (SD 37.4), range 38-228. The total social support score was normally distributed (Shapiro Wilk p > 0.05). The correlation between domains was statistically significant. The PHQ9 total score was significantly associated with the domains of Personal Interaction and Guide but did not significantly correlate with the overall social support score. The respondents who were at risk of developing depression were referred for treatment. Conclusions: findings suggest that perceived social support may play a significant role in the prevention and treatment of depression in diabetic patients. It is desirable that health professionals consider evaluating and enhancing social support to improve their mental health. More research is needed to gain a comprehensive understanding of this relationship.

Best Practices for Developing a Diabetes mHealth App

The widespread use of smartphones in the United States has led to a surge in mHealth apps designed to support people with various health issues. Yet the effectiveness and long-term impacts of these apps still need to be determined. This article presents a case study of the development of MyT1DHero, an mHealth app for people with type 1 diabetes, to identify best practices for app development. We propose four essential best practices based on the insights gained from this case study: incorporating theoretical frameworks, prioritizing user feedback, engaging key stakeholders, and establishing a robust data-collection foundation. These findings have practical implications for researchers and developers seeking to create effective mHealth interventions. Furthermore, we suggest future research directions to advance the development and implementation of innovative health technologies.

Understanding Whether and How a Digital Health Intervention Improves Transition Care for Emerging Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Realist Evaluation

BACKGROUND

Emerging adults living with type 1 diabetes (T1D) face a series of challenges with self-management and decreased health system engagement, leading to an increased risk of acute complications and hospital admissions. Effective and scalable strategies are needed to support this population to transfer seamlessly from pediatric to adult care with sufficient self-management capability. While digital health interventions for T1D self-management are a promising strategy, it remains unclear which elements work, how, and for which groups of individuals.

OBJECTIVE

This study aims to evaluate the design and implementation of a multicomponent SMS text message-based digital health intervention to support emerging adults living with T1D in real-world settings. The objectives are to identify the intervention components and associated mechanisms that support user engagement and T1D health care transition experiences and determine the individual characteristics that influence the implementation process.

METHODS

We used a realist evaluation embedded alongside a randomized controlled trial, which uses a sequential mixed methods design to analyze data from multiple sources, including intervention usage data, patient-reported outcomes, and realist interviews. In step 1, we conducted a document analysis to develop a program theory that outlines the hypothesized relationships among "individual-level contextual factors, intervention components and features, mechanisms, and outcomes," with special attention paid to user engagement. Among them, intervention components and features depict 10 core characteristics such as transition support information, problem-solving information, and real-time interactivity. The proximal outcomes of interest include user engagement, self-efficacy, and negative emotions, whereas the distal outcomes of interest include transition readiness, self-blood glucose monitoring behaviors, and blood glucose. In step 2, we plan to conduct semistructured realist interviews with the randomized controlled trial's intervention-arm participants to test the hypothesized "context-intervention-mechanism-outcome" configurations. In step 3, we plan to triangulate all sources of data using a coincidence analysis to identify the necessary combinations of factors that determine whether and how the desired outcomes are achieved and use these insights to consolidate the program theory.

RESULTS

For step 1 analysis, we have developed the initial program theory and the corresponding data collection plan. For step 2 analysis, participant enrollment for the randomized controlled trial started in January 2023. Participant enrollment for this realist evaluation was anticipated to start in July 2023 and continue until we reached thematic saturation or achieved informational power.

CONCLUSIONS

Beyond contributing to knowledge on the multiple pathways that lead to successful engagement with a digital health intervention as well as target outcomes in T1D care transitions, embedding the realist evaluation alongside the trial may inform real-time intervention refinement to improve user engagement and transition experiences. The knowledge gained from this study may inform the design, implementation, and evaluation of future digital health interventions that aim to improve transition experiences.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/46115.

Using Mixed Methods Research in Children with Type 1 Diabetes: a Methodological Review

PURPOSE OF REVIEW

Many factors influence disease management and glycemic levels in children with type 1 diabetes (T1D). However, these concepts are hard to examine in children using only a qualitative or quantitative research paradigm. Mixed methods research (MMR) offers creative and unique ways to study complex research questions in children and their families.

RECENT FINDINGS

A focused, methodological literature review revealed 20 empirical mixed methods research (MMR) studies that included children with T1D and/or their parents/caregivers. These studies were examined and synthesized to elicit themes and trends in MMR. Main themes that emerged included disease management, evaluation of interventions, and support. There were multiple inconsistencies between studies when reporting MMR definitions, rationales, and design. Limited studies use MMR approaches to examine concepts related to children with T1D. Findings from future MMR studies, especially ones that use child-report, may illuminate ways to improve disease management and lead to better glycemic levels and health outcomes.

Information and Communication Technologies in Lung Transplantation: Perception of Patients and Medical Teams

Optimal therapeutic management is a major determinant of patient prognosis and healthcare costs. Information and communication technologies (ICTs) represent an opportunity to enhance therapeutic management in complex chronic diseases, such as lung transplantation (LT). The objective of this study was to assess the preferences of LT patients and healthcare professionals regarding ICTs in LT therapeutic management. A cross-sectional opinion survey was conducted among lung transplant patients and healthcare professionals from the French lung transplantation centers. Five ICTs were defined (SMS, email, phone, internet, and smartphone application) in addition to face-to-face communication. An unsupervised approach by Principal Component Analysis (PCA) identified lung transplant patient profiles according to their preferences for ICTs. Fifty-three lung transplant patients and 15 healthcare professionals of the French LT centers were included. Both expected ICTs for treatment management and communication. Phone call, face-to-face, and emails were the most preferred communication tools for treatment changes and initiation. PCA identified four ICTs-related profiles (“no ICT”, “email”, “SMS”, and “oral communication”). “Email” and “oral communication” profiles are mainly concerned with treatment changes and transmission of new prescriptions. The “SMS” profile expected reminders for healthcare appointments and optimizing therapeutic management. This study provides practical guidance to enhance LT therapeutic management by ICT intervention. The type of ICT used should take into account patient profiles to improve adherence and thereby the prognosis. A combination of strategies including information, education by a multidisciplinary team, and reminders is a promising approach to ensure an optimal management of our patients.

Design and Redesign of the IACTA App, an Interactive Communication Tool Intended to Facilitate Young Children's Participation in Healthcare Situations

PURPOSE

To develop the storyboard of IACTA further, based on the child''s perspective, by testing and evaluating both re-designed and newly designed scenes.

DESIGN AND METHOD

A participatory design was used involving preschool children (n = 18) aged three to five who tested and evaluated evolving prototypes of the IACTA application. Think aloud and Active intervention were used to elicit verbal responses from the children. Additionally, observational protocols were used to capture, in a structured way, the children's interaction with the app.

RESULTS

By testing evolving prototypes, the children confirmed previous developments and challenged the newly added scenes of the app. By their interaction, important information regarding the children's ways of navigating the storyboard was obtained. Ways of becoming immersed in the storyboard and the eagerness of dealing with each scene provided information regarding likeability.

CONCLUSIONS

Overall, this article presents a participatory design process in which preschool aged children were involved in testing and evaluating prototypes of the re-designed IACTA app. In the process, the children provided their perspective on the design and content and eventually, based on their feedback, IACTA was proven to be an age-appropriate tool.

PRACTICAL IMPLICATIONS

Children are frequent visitors to healthcare services. Lack of knowledge might trigger fear and anxiety, whereas information provides understanding. Interactive, mobile solutions enable children to receive information within paediatric healthcare contexts. The IACTA application intends to provide children a situated understanding that facilitates their participation in healthcare situations.

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

Digital health and management of chronic disease: A multimodal technologies typology

This cross-sectional descriptive study aims to (1) describe the current digital technology (DT) use of people with chronic diseases (CD) by identifying different user profiles and (2) determine whether those profiles have specific characteristics regarding health-related variables and patient-doctor relationship quality (RQ). An online questionnaire assessing the uses of multiple types of DT (the Internet, mobile applications and connected devices) and several dimensions related to health and patient-doctor RQ was completed by 954 individuals living with CD. DT user groups were obtained by k-means cluster analysis and then compared using Mann-Whitney tests. The results show three profiles of DT users: (1) hyperconnected (8.9%, regular users of all DTs), (2) biconnected (19.1%, regular users of the Internet and mobile apps) and (3) hypoconnected (72%, casual users of the Internet only). The hyperconnected and biconnected groups are more empowered, more knowledgeable about their treatment and more committed to their doctors than the hypoconnected group. Nonadherence to treatment, health motivations, self-efficacy for health management and the trust dimension of the patient-doctor RQ did not differ between groups. We conclude by discussing the low use of the most recent technologies in the CD population, although these technologies seem to provide access to health information that empowers patients and leads to a better relationship with their doctors.

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.

Access to Technology and Preferences for an mHealth Intervention to Promote Medication Adherence in Pediatric Acute Lymphoblastic Leukemia: Approach Leveraging Behavior Change Techniques

Background

Suboptimal adherence to 6-mercaptopurine (6-MP) is prevalent in pediatric acute lymphoblastic leukemia (ALL) and associated with increased risk of relapse. Rapid uptake of personal technology makes mobile health (mHealth) an attractive platform to promote adherence.

Objective

Study objectives were to examine access to mobile technology and preferences for an mHealth intervention to improve medication adherence in pediatric ALL.

Methods

A cross-sectional survey was administered in oncology clinic to parents of children with ALL as well as adolescents and young adults (AYAs) with ALL receiving maintenance chemotherapy.

Results

A total of 49 parents (median age [IQR] 39 [33-42] years; female 76% [37/49]) and 15 patients (median age [IQR] 17 [16-19]; male 80% [12/15]) participated. All parents and AYAs owned electronic tablets, smartphones, or both. Parents’ most endorsed mHealth app features included a list of medications (71%, 35/49), information about 6-MP (71%, 35/49), refill reminders (71%, 35/49), and reminders to take 6-MP (71%, 35/49). AYAs' most endorsed features included refill reminders (73%, 11/15), reminders to take 6-MP (73%, 11/15), and tracking 6-MP (73%, 11/15).

Conclusions

Parents and AYAs reported ubiquitous access to mobile technology and strong interest in multiple adherence-specific mHealth app features. Parents and AYAs provided valuable insight into preferred features for a multifunctional behavioral intervention (mHealth app) to promote medication adherence in pediatric ALL.

"Counting Carbs to Be in Charge": A Comparison of an Internet-Based Education Module With In-Class Education in Adolescents With Type 1 Diabetes

Carbohydrate counting is an essential component of type 1 diabetes education but can be difficult for adolescents to learn. Because adolescents are avid users of technology, an Internet-based education module was compared with an in-class education session in terms of carbohydrate counting accuracy in adolescents with type 1 diabetes. Adolescent participants displayed increased carbohydrate counting accuracy after attending an in-class education session compared with an Internet-based education module. These results suggest that online education is best reserved as an adjunctive therapy to in-class teaching in this population.

Effects of mobile health interventions on improving glycemic stability and quality of life in patients with type 1 diabetes: A meta-analysis

This meta-analysis aimed to examine the effects of mobile-health-based (mHealth) interventions on improving glycemic stability and quality of life (QOL) in patients with type 1 diabetes (T1D). Various databases, including PubMed, Embase, CINAHL, Cochrane Library, ProQuest, Chinese Electronic Periodical Services, and China Knowledge Resource Integrated, were used to search for relevant articles. A fixed-effects model or random-effects model was used to examine the overall effect. Various methods, including Egger's test, Begg's test, and trim-and-fill, were adopted to examine publication bias. In total, 26 studies were recruited. Results of the random-effects model showed that the use of mHealth-based interventions significantly decreased glycated hemoglobin (HbA1c) (mean difference = -0.37, 95% confidence interval (CI) = -0.53 to -0.22, p < .001), and improved life satisfaction (Hedges' g = 0.30, 95% CI = 0.10 to 0.50, p = .003), worry of diabetes (Hedges' g = -0.25, 95% CI = -0.41 to 0.08, p = .004), and mental health (Hedges' g = 0.36, 95% CI = 0.08 to 0.64, p = .012). Both adults and youths with T1D can benefit from mHealth-based interventions to improve HbA1c (Hedges' g = -0.44, p = .002 vs. -0.30, p = .003). The effect of mHealth-based interventions on improving QOL in both adults and youths could not be examined due to only one study published in adults with T1D. Moreover, those studies that included the function of feedback from professionals showed a significant effect of decreasing HbA1c compared to those without that function (Hedges' g = -0.48 vs. -0.16, p = .019). Mobile devices are convenient, instantaneous, and easy to use to communicate. Applying mHealth-based interventions with the function of feedback from professionals can be considered an alternative healthcare service to achieve optimal glycemic stability in adults and youths with T1D.

eHealth Delivery of Educational Content Using Selected Visual Methods to Improve Health Literacy on Lifestyle-Related Diseases: Literature Review

BACKGROUND

Lifestyle-related diseases, such as stroke, heart disease, and diabetes, are examples of noncommunicable diseases. Noncommunicable diseases are now the leading cause of death in the world, and their major causes are lifestyle related. The number of eHealth interventions is increasing, which is expected to improve individuals' health literacy on lifestyle-related diseases.

OBJECTIVE

This literature review aims to identify existing literature published in the past decade on eHealth interventions aimed at improving health literacy on lifestyle-related diseases among the general population using selected visual methods, such as educational videos, films, and movies.

METHODS

A systematic literature search of the PubMed database was conducted in April 2019 for papers written in English and published from April 2, 2009, through April 2, 2019. A total of 538 papers were identified and screened in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram. Finally, 23 papers were included in this review.

RESULTS

The 23 papers were characterized according to study characteristics (author and year of publication, study design and region where the study was conducted, study objective, service platform, target disease and participant age, research period, outcomes, and research method); the playback time of the educational videos, films, and movies; and the evaluation of the study's impacts on health literacy. A total of 7 studies compared results using statistical methods. Of these, 5 studies reported significant positive effects of the intervention on health literacy and health-related measures (eg, physical activity, body weight). Although most of the studies included educational content aimed at improving health literacy, only 7 studies measured health literacy. In addition, only 5 studies assessed literacy using health literacy measurement tools.

CONCLUSIONS

This review found that the provision of educational content was satisfactory in most eHealth studies using selected visual methods, such as videos, films, and movies. These findings suggest that eHealth interventions influence people's health behaviors and that the need for this intervention is expected to increase. Despite the need to develop eHealth interventions, standardized measurement tools to evaluate health literacy are lacking. Further research is required to clarify acceptable health literacy measurements.

Parents' perspectives on dried blood spot self-sampling from children with epilepsy: A mixed-method study

AIM

Children with epilepsy often have concomitant diagnoses. Dried blood spot samples for drug monitoring can be collected by parents at home as an alternative to traditional sampling. This mixed-method study aimed to understand the parents' perspectives on blood self-sampling from their children and to identify factors contributing to successful sampling.

METHOD

Parents who had collected a sample from their child during a visit to the neuropediatric clinic were asked to fill in a questionnaire. To get in-depth information and individual perspectives, parents and nurses participated in semi-structured interviews and analysed with thematic analysis.

RESULTS

The results from questionnaires (n = 64) and interviews (n = 9) were interpreted together. Watching an instruction video and practical training contributed to successful sampling. 97% of the parents managed to collect a sample, 72% thought it was easy to perform, and 80% found self-sampling at home desirable. Factors for success were as follows: high motivation, prepared parents with pre-understanding, a pragmatic attitude, flexible education, effective communication and willingness to take on the role as a performer. Risk factors were as follows: conflict, fear, unprepared parents, confused or worried children.

CONCLUSION

Voluntary self-sampling at home for parents of children with epilepsy is feasible and can reduce stress factors in everyday life.

Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development

Background

The number of people with lifestyle-related diseases continues to increase worldwide. Improving lifestyle behavior with health literacy may be the key to address lifestyle-related diseases. The delivery of educational videos using mobile health (mHealth) services can replace the conventional way of educating individuals, and visualization can replace the provision of health checkup data.

Objective

This paper aimed to describe the development of educational content for MIRAMED, a mobile app aimed at improving users’ lifestyle behaviors and health literacy for lifestyle-related diseases.

Methods

All videos were based on a single unified framework to provide users with a consistent flow of information. The framework was later turned into a storyboard. The final video contents were created based on this storyboard and further discussions with leading experts and specialist physicians on effective communication with app users about lifestyle-related diseases.

Results

The app uses visualization of personal health checkup data and educational videos on lifestyle-related diseases based on the current health guidelines, scientific evidence, and expert opinions of leading specialist physicians in the respective fields. A total of 8 videos were created for specific lifestyle-related diseases affecting 8 organs: (1) brain–cerebrovascular disorder, (2) eyes–diabetic retinopathy, (3) lungs–chronic obstructive pulmonary disease, (4) heart–ischemic heart disease, (5) liver–fatty liver, (6) kidneys–chronic kidney disease (diabetic kidney disease), (7) blood vessels–peripheral arterial disease, and (8) nerves–diabetic neuropathy.

Conclusions

Providing enhanced mHealth education using novel digital technologies to visualize conventional health checkup data and lifestyle-related diseases is an innovative strategy. Future studies to evaluate the efficacy of the developed content are planned.

Efficacy of text messaging apprentices to reinforce ergonomics and safety voice training

INTRODUCTION

Injuries and work-related musculoskeletal disorders (MSDs) are common among masons. SAfety Voice for Ergonomics (SAVE) integrates training in ergonomic and safety problem-solving skills into masonry apprenticeship training. The purpose of this study was to assess the efficacy of text messaging to reinforce SAVE program content.

METHOD

SAVE effectiveness was evaluated at masonry apprenticeship training centers across the United States by comparing three experimental groups: (1) Ergonomics training, (2) Ergonomics and Safety Voice training, and a (3) Control. Apprentices received SAVE training with their standard instruction. To reinforce classroom training, refresher training was implemented by sending weekly text messages for six months. Half of the text messages required a response, which tested knowledge or assessed behavior, while the remaining reiterated knowledge. Apprentices (n = 119) received SAVE text messages. Response rates and percentage of correct responses were compared with chi-square tests and independent group t-tests. Multivariable logistic regression analysis predicted apprentice response with selected demographic and work experience variables. Finally, feedback on of the use of text messaging was obtained.

RESULT

Of 119 participants, 61% (n = 72) responded to at least one text message. Logistic regression revealed that being a high school graduate and a brick and block mason significantly affected the odds of responding. Sixty-nine percent of apprentices agreed that text messages reinforced SAVE content.

CONCLUSION

Even though there was no training center requirement to respond, the high response rate suggests that text messaging can effectively be used to reinforce ergonomics and safety voice training for both knowledge and behavior. Practical Application: The prevalent use of text messaging creates opportunities to reinforce health and safety training and engage workers, especially for populations that may be at various locations over time such as construction sites. Instructors and practitioners should consider the utility of text messaging for supporting their training and safety programs.

Impact of text message-based intervention for weight control and health-promoting lifestyle behaviors of overweight and obese children

BACKGROUND AND AIM

Little information is available on the use of text messages through mobile phones to address overweight/obesity in children. This study aims to evaluate the impact of a text message-based intervention for weight control and health-promoting lifestyle behaviors of overweight/obese children.

MATERIALS AND METHODS

This quasi-experimental study was conducted among overweight/obese school students. Data on sociodemographic, dietary intake, sleep, sedentary behavior, physical activity (PA), and anthropometry were collected before and after the intervention. Weight and height were examined according to the standard protocols. The intervention was consisted of tailored messages for weight control and healthy lifestyle, including diet, PA, sedentary behavior, and sleep. Child attitude and his practice were asked before and after the intervention. The paired t-test was performed to compare means of continuous variables before and after the intervention for normal distribution data. The Wilcoxon test was also used for nonnormal data.

RESULTS

A total of 71 boy students were included in the study (62% obese). The mean age was 10.07 years. The means of attitude score for PA, nutrition, and sleep after intervention were greater than before it, but it was significant only for PA. The mean of nighttime sleep duration of students after the intervention was significantly less. Furthermore, unhealthy score decreases after the intervention.

CONCLUSION

Three-month lifestyle intervention as text messages had positive effects on the nutritional intake of obese children and their attitudes toward PA, but no effect on child body mass index.

Oral health status and impact on the oral health-related quality of life of Egyptian children and early adolescents with type-1 diabetes: a case-control study

OBJECTIVES

The purpose of the present study is to (1) evaluate the oral health-related quality of life (OHRQoL) among a group of Egyptian children and early adolescents with type-1 diabetes mellitus (T₁DM) aged from 8 to 14 years and the impact of individual, environmental, oral health care and biological independent predictors (2) assess oral health status (OHS) in terms of oral hygiene, caries experience, untreated carious cavities and gingival condition.

MATERIALS AND METHODS

A case-control investigation conducted on eligible 444 participants who have been assigned into four groups (two case groups included 125 children and 97 early adolescents with T₁DM and two matched control groups). The OHRQoL was measured using a validated structured CPQ_8-10 for children and CPQ_11-14 short-form questionnaires for early adolescents. The questionnaire comprised of four parts that represented the study independent variables. Descriptive data were analysed using Mann-Whitney U test for the non-parametric data. Pearson's correlations have been calculated to inspect the interrelation between metabolic disease control and study of different OHS representatives. Log-linear Poisson model regression analyses performed to determine associations between the OHRQoL and independent predictors.

RESULTS

The prevalence of dental caries (DT ≥ 1) in children with diabetes was 49.6% (75.3%). The worse GI mean and median scores were recorded among early adolescents with T₁DM [mean (SD) = 2.24 ± 0.61; median (IQR) = 2.3(1)]. The social well-being of CPQ domains was a prominent concern that negatively affected children and early adolescents' life aspects. A strong correlation between OHRQoL and the level of HbA_1c in the two diabetic groups (r = 0.69 for children's group and 0.74 for the early adolescent group) was observed. The final model of log-linear Poisson regression analysis demonstrated that the odds ratio (OR) of poor OHRQoL among children and early adolescents with poor metabolic control was 1.30 [95% CI 1.18-1.47] and 1.22 [95% CI 1.11-1.38] times more than those with good metabolic control do.

CONCLUSIONS

The overall self-reported OHRQL appears to be adversely affected by T₁DM especially among children and early adolescents with poor metabolic control. Socioeconomic status and oral health care demonstrate a significant impact on the OHRQoL; however, the effect was obvious in the diabetic and non-diabetic groups.

CLINICAL RELEVANCE

1. In Egypt, the number of new cases rises progressively in a retrospective survey to figure out the prevalence of T1DM among children and adolescents. The available data is limited regarding the incidence and prevalence of dental caries and gingival condition among Egyptian children and early adolescents. 2. The present study is a premier study that assesses the OHRQoL and studies the impact of the individual, environmental, biological and oral health care variables. 3. This study highlights the urgent need for improving the oral health status of diabetic children and adolescents and the necessity for qualified oral health education programs for children and parents. There is an intense need to reinforce the role of preventive oral hygiene measures.

Smartphone App as Motivational Intervention to Improve Glycemic Control in Adolescents with Type 1 Diabetes

OBJECTIVES

Type 1 diabetes (T1D) adolescents often do not achieve good glycemic control. In the context of growing number of technologically savvy adolescents, this study was done to examine the effectiveness of a motivational smartphone app to improve their glycemic control.

METHODS

Eleven to eighteen year old adolescents, treated by Pediatric endocrine team of CMC, Vellore, who had T1D ≥ 1 y duration with poor glycemic control (mean HbA1c ≥ 8.5% in preceding 12 mo) were recruited. An app programmed to provide 3 reminders per day regarding insulin, meals and physical exercise was installed on their phone. Diabetes management was continued as per the standard of care. HbA1C was measured after 3 mo.

RESULTS

Thirty seven adolescents were recruited; 3 were excluded as the app became non-functional. Seventeen were boys, mean age was 13.8 y (11-18 y) and mean duration of diabetes was 4.9 y (0.8-16 y). The mean HbA1c levels over preceding 12 mo and at recruitment were 10.75% (1.88) and 10.6% (2.08) respectively. Twenty eight participants returned for repeat HbA1C after 3-4 mo. As compared to baseline there was significant reduction in HbA1c level: 10.6% (2.08) vs. 9.65% (1.6); p = 0.004. Twenty two of twenty eight participants showed reduction in HbA1c after app installation. The magnitude of change in HbA1c levels over a 3 mo period before and after the app use was analyzed. There was significant difference between mean HbA1c levels before and after app use; +0.28 (2.06) vs. -0.914 (1.52); p = 0.019.

CONCLUSIONS

Following usage of smartphone app as a motivational intervention in adolescents with Type 1 diabetes, there was significant reduction in HbA1c level after 3 mo. With continued use, this may benefit them to achieve target HbA1c levels. Use of mobile phone apps as motivational interventions is feasible in adolescents with Type 1 diabetes in India.

Mobile and Web-Based Apps That Support Self-Management and Transition in Young People With Chronic Illness: Systematic Review

BACKGROUND

More adolescents with chronic physical illness are living into adulthood, and they require the development of proficient self-management skills to maintain optimal physical health as they transition into adult care services. It is often during this vulnerable transition period that deterioration in illness control is seen as a result of inadequate self-management skills and understanding of their chronic illness. Mobile technology has been proposed as an innovative opportunity to assist in improving the management of chronic conditions as young people transition to adult care services. Over the past 5 years, there has been a significant increase in research into the use of health-related apps.

OBJECTIVE

This study aimed to evaluate the utility and effectiveness of mobile and Web-based health apps that support self-management and transition in young people with chronic physical health illnesses.

METHODS

We conducted a comprehensive review of the literature in 5 bibliographic databases, using key search terms, considering only articles published from 2013, as we were extending the data from 2 previous systematic reviews. Abstracts were screened for possible inclusion by 2 reviewers. Data extraction and quality assessment tools were used for the evaluation of included studies.

RESULTS

A total of 1737 records were identified from the combined electronic searches, and 854 records were removed as duplicates. A total of 68 full articles were further assessed for eligibility, and 6 articles met our review criteria: 3 pilot studies, 2 randomized controlled trials, and 1 prospective cohort study. Publication years ranged from 2015 to 2018. The apps reported were targeted at type 1 diabetes mellitus, epilepsy, asthma, beta thalassemia major, and sickle cell disease, with a combined sample size of 336. A total of 4 studies included in this review reported being effective in increasing knowledge of the targeted condition and increasing therapy adherence, including increased medication adherence. A total of 2 manuscripts only mentioned the word transition. Participant's satisfaction was reported for all studies. Heterogeneity of the studies prevented meta-analysis.

CONCLUSIONS

There remain limited data on the effectiveness and use of mobile and Web-based apps, which might facilitate the transition of adolescents with chronic illnesses from pediatric to adult health care services. This systematic review provides an updated overview of available apps for adolescents with chronic illnesses. This systematic review has been unable to provide evidence for effectiveness of this approach, but it does provide insights into future study design, with reference to the development, evaluation, and efficacy of apps tailored for adolescents with chronic illnesses, including the involvement of adolescents in such designs.

TRIAL REGISTRATION

PROSPERO CRD42018104611; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=104611.

The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis

A systematic review and meta-analysis were conducted to assess the effectiveness of app-based mobile interventions for improving nutrition behaviours and nutrition-related health outcomes, including obesity indices (eg, body mass index [BMI]) and clinical parameters (eg, blood lipids). Seven databases were searched for studies published between 2006 and 2017. Forty-one of 10 132 identified records were included, comprising 6348 participants and 373 outcomes with sample sizes ranging from 10 to 833, including 27 randomized controlled trials (RCTs). A beneficial effect of app-based mobile interventions was identified for improving nutrition behaviours (g = 0.19; CI, 0.06-0.32, P = .004) and nutrition-related health outcomes (g = 0.23; CI, 0.11-0.36, P < .001), including positive effects on obesity indices (g = 0.30; CI, 0.15-0.45, P < .001), blood pressure (g = 0.21; CI, 0.01-0.42, P = .043), and blood lipids (g = 0.15; CI, 0.03-0.28, P = .018). Most interventions were composed of four behaviour change technique (BCT) clusters, namely, "goals/planning," "feedback/monitoring," "shaping knowledge," and "social support." Moderating effects including study design, type of app (commercial/research app), sample characteristics (clinical/non-clinical sample), and intervention characteristics were not statistically significant. The inclusion of additional treatment components besides the app or the number or type of BCTs implemented did not moderate the observed effectiveness, which underscores the potential of app-based mobile interventions for implementing effective and feasible interventions operating at scale for fighting the obesity epidemic in a broad spectrum of the population.

Prevalence of dental caries in children and adolescents with type 1 diabetes: a systematic review and meta-analysis

Background

Dental caries and type 1 diabetes are responsible for a large burden of global disease; however, the exact prevalence of dental caries among children and adolescents with type 1 diabetes remains controversial, and no quantitative meta-analysis exists. Thus, we performed a meta-analysis to evaluate the prevalence of dental caries among children and adolescents with type 1 diabetes.

Methods

We performed a systematic search strategy using PubMed, EMBASE and China National Knowledge Infrastructure for relevant studies investigating the prevalence of dental caries in children and adolescents with type 1 diabetes from July 1971 until December 2018. The pooled prevalence with 95% confidence intervals (95%CIs) and subgroup analyses were calculated using a random effects model.

Results

After screening 358 non-duplicated articles, a total of 10 articles involving 538 individuals were included. The overall prevalence of dental caries among children and adolescents with type 1 diabetes was 67% (95% CI: 0.56–0.77%; I² = 83%). The prevalence was highest in South America (84%) and lowest in diabetic patients with good metabolic control (47%).

Conclusions

The prevalence of dental caries was high among children and adolescents with type 1 diabetes. Screening and preventive treatment should be included in dental clinical routines for diabetic children and adolescents, especially in those with poor metabolic control.

Electronic supplementary material

The online version of this article (10.1186/s12903-019-0903-5) contains supplementary material, which is available to authorized users.

Patients Attitude to Technology : A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application

Smartphone applications ("apps") have become ubiquitous with the advent of smartphones and tablets in recent years. Increasingly the utility of these apps is being explored in healthcare delivery. Hydrocephalus is a condition that is usually followed by a neurosurgeon for the patient's life. We explore patient acceptability of a mobile app as an adjunct to outpatient follow-up of patients with hydrocephalus. A questionnaire was circulated amongst patients with hydrocephalus (adults and children). Patients were asked questions about their hydrocephalus; expectations for outpatient follow up, whether they have smartphone/tablet/internet access and whether they would be interested in a mobile app for their long term hydrocephalus follow up. 191 patients completed questionnaires, 98 respondents were adults (mean age 46.1) and 93 were children less than 18 years old (mean age 8). Overall 36.1% of patients did not know the cause of their hydrocephalus. 96.7% have a shunt. 76.5% of adults and 80.6% of children had 1-4 shunt surgeries, 14.3% of adults and 11.8% of children had 5-9 shunt surgeries, 3.1% of adults and 5.4% of children had 10-14 shunt surgeries. 71.7% of patients expect to be followed-up routinely in clinic for life. All children had smartphones or tablets, compared to 86.7% of adults. Children were more interested in a hydrocephalus app, 84.9% saying yes, compared to 71.4% of adults. Adults who were not interested in the app did not have a smartphone or tablet. Hydrocephalus management is a lifelong task and innovations in technology for engaging patients in its management are vital. The majority of patients are interested in mobile apps for outpatient management of hydrocephalus. We will follow this up with a feasibility study of a custom designed hydrocephalus app.

Mobile health applications for atrial fibrillation: A readability and quality assessment

BACKGROUND

Mobile health applications may improve patient education and self-care for a complex condition such as atrial fibrillation (AF). Little is known about the accessibility of mobile health applications ("apps") and their readability. We evaluated the readability and quality of available apps for AF.

METHODS

We searched the Apple and Google Play app stores with the terms "atrial fibrillation" and "afib." We downloaded English-language apps (up to n = 100 for each term) and categorized them by name, App store, cost, content, uploading agency (heath care associated [HCA] versus non-HCA), target audience (health care professional [HCP] versus non-HCP), scientific validity (i.e., citation of peer-reviewed or validated medical information), and user ratings. We analyzed the text of apps intended for a non-HCP target audience for readability with 10 established measures.

RESULTS

Of the 206 downloaded apps, 50.5% were excluded as unrelated to AF, inaccessible, or non-English language. The majority of apps contained information about AF (63.2% Apple, 52.2% Google Play) and AF detection (52.6% Apple, 56.5% Google Play). A minority of non-HCP apps contained scientifically validated content (Apple, 15.8%; Google Play, 13.0%; P = NS). App mean readability was grade 12.1 ± 2.6.

CONCLUSIONS

Most AF apps lacked scientific validation and were written at excessively high reading-grade levels. Our results suggest caution with mobile health apps, particularly for users with limited health literacy. There is potential opportunity for a multi-disciplinary effort by regulatory agencies, healthcare organizations, and app stores to improve relevance, scientific validity, and readability of AF apps for patients with this complex and morbid disease.

The use of mobile technology to facilitate self-management in adults with type 1 diabetes: A qualitative explorative approach

AIMS

(a) To explore how mobile technology can support self-management in adults with type 1 diabetes (T1DM). (b) To inform a usability study in the design of a mobile application to facilitate self-management of T1DM.

DESIGN

Qualitative exploratory design.

METHODS

Semi-structured interviews were undertaken with adults with T1DM (N = 8). The data collected were analysed using a thematic analysis approach.

RESULTS

Mobile technology has the potential to support adults in their self-management of T1DM through facilitating their decision-making, saving time and enabling them to easily share their data with their healthcare professional. Participants identified four main visualization characteristics for technology to aid in decision-making; relationships between inputs, trends, graphs and colours, and identified essential features such as ease of use, convenience and connectivity.

The influence of mobile health applications on patient - healthcare provider relationships: A systematic, narrative review

OBJECTIVE

To explore the influence of mobile health applications on various dimensions of patient and healthcare provider relationships.

METHODS

A systematic, narrative review of English literature reporting experiences and outcomes of using mobile health applications was performed, evaluating communication and relationships between patients and healthcare professionals. Findings were framed thematically within the four dimensions of relationship-centred care. The methodological quality of included articles was appraised.

RESULTS

Thirty-seven articles were included, all of them meeting tenets of relationship-centred care. After adopting mobile health applications patients perceived an overall positive impact on their relationship with healthcare providers, indicating they are ready to transition from traditional clinical ecounters to a different modality. Use of the applications supported patients in assuming active roles in the management of their health in collaboration with health professionals. Reluctance of providers to using mobile health needs to be acknowledged and addressed when encouraging wider use of applications in clinical practice.

CONCLUSION

The use of mobile health applications can influence communication and relationships between patients and providers positively, facilitating relationship-centered healthcare.

PRACTICE IMPLICATION

Implementation of mobile health can support patients' self-efficacy, improve access to healthcare services and improve relationships between patients and providers in ambulatory and hospital settings.

Adolescent Perspectives on the Use of Social Media to Support Type 1 Diabetes Management: Focus Group Study

Background

A majority of adolescents report the use of some form of social media, and many prefer to communicate via social networking sites. Social media may offer new opportunities in diabetes management, particularly in terms of how health care teams provide tailored support and treatment to adolescents with diabetes.

Objective

The aim of this study was to explore the experiences and perspectives of adolescents with type 1 diabetes on the feasibility of social media use as a tool to collaboratively manage their diabetes with their diabetes care team.

Methods

Focus groups of adolescents with type 1 diabetes were conducted in the Seattle metropolitan area in Washington State. Semistructured questions were used to elicit views around the preferred means of communication with the adolescents’ diabetes care team, how to best support diabetes self-management, and how social media could be used outside of the clinic setting by the diabetes care team to engage with adolescents with type 1 diabetes. Focus groups were audio recorded and transcribed verbatim. Qualitative content analysis was carried out, and emergent themes were subsequently mapped onto 4 domains of feasibility, which included acceptability, demand, implementation, and practicality.

Results

Participants included 45 adolescents with type 1 diabetes (mean age 15.9, SD 1.7 years; 58% male; diabetes duration mean 6.2, SD 3.6 years; 76% on insulin pumps; 49% wore continuous glucose monitors; 93% reported use of social media; 84% used smartphones as the primary means for social media access). A total of 7 major topics were identified and mapped onto areas consistent with our focus on feasibility. For acceptability and demand, participants expressed how communication over social media could help facilitate (1) improved communication outside of clinic visits to optimize diabetes management, (2) independence in diabetes self-management, (3) connection to other youth with diabetes for additional diabetes support, and (4) delivery of more timely and personalized care. Addressing implementation and practicality, participants shared the need to (1) ensure patient privacy, (2) maintain professional nature of provider-patient relationship, and (3) recognize that social media is not currently used for medical care by youth with diabetes.

Conclusions

Adolescents with type 1 diabetes expressed interest in the use of social media as a tool to support diabetes management and increase engagement with their diabetes care team. Specific implementation measures around privacy and professionalism should be considered when developing a social media intervention to facilitate communication between adolescents and care teams.

Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals

BACKGROUND

The diffusion of information and communication technologies (ICTs) in type 1 diabetes (T1D) management has generated a debate on the ways in which ICTs can support the patient-provider relationship. Several studies have focused on text messages. Most of the literature proposes quantitative analysis of the impact of text messaging on the clinical conditions of patients and/or their satisfaction with the technology, while the qualitative studies have focused mainly on patients' perceptions about strengths and weaknesses of this technology.

OBJECTIVE

In contrast to past studies, we adopted a qualitative approach for the in-depth examination of patient-health care professionals' interactions in text messaging.

METHODS

The study focused on the use of the Trento Cartella Clinica del Cittadino Diabetes System (TreC-DS), a digital platform with a built-in messaging system, in two diabetes centers, integrating message analysis with interviews with patients and health care professionals. Each center focused on a specific patient profile: the first one focused on pregnant women with T1D and the second one focused on adult patients with poorly controlled diabetes.

RESULTS

The main results of the study were as follows: (1) Health care professionals and patients perceived the messaging system as useful for sharing information (ie, pregnant women for prescriptions and adults with poorly controlled diabetes for advice); (2) The content and communication styles of the two centers differed: in the case of pregnant women, interactions via text messaging were markedly prescriptive, while in the case of adult patients with poorly controlled diabetes, they were conceived as open dialogues; and (3) Conversations were initiated mainly by professionals; in the cases considered, it was mainly the diabetes center that decided whether a messaging conversation was needed.

CONCLUSIONS

The results show how the features of interactions of text messaging changed based on the patient profiles in two different centers. In addition, in both diabetes centers that were involved, the system seems to have laid a foundation for a closer relationship between patients and health care professionals.

Characteristics of Future Models of Integrated Outpatient Care

Replacement of fee-for-service with capitation arrangements, forces physicians and institutions to minimize health care costs, while maintaining high-quality care. In this report we described how patients and their families (or caregivers) can work with members of the medical care team to achieve these twin goals of maintaining-and perhaps improving-high-quality care and minimizing costs. We described how increased self-management enables patients and their families/caregivers to provide electronic patient-reported outcomes (i.e., symptoms, events) (ePROs), as frequently as the patient or the medical care team consider appropriate. These capabilities also allow ongoing assessments of physiological measurements/phenomena (mHealth). Remote surveillance of these communications allows longer intervals between (fewer) patient visits to the medical-care team, when this is appropriate, or earlier interventions, when it is appropriate. Systems are now available that alert medical care providers to situations when interventions might be needed.

Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study

Background

Problematic substance use in adolescence and emerging adulthood is a significant public health concern in the United States due to high recurrence of use rates and unmet treatment needs coupled with increased use. Consequently, there is a need for both improved service utilization and availability of recovery supports. Given the ubiquitous use of the internet and social media via smartphones, a viable option is to design digital treatments and recovery support services to include internet and social media platforms.

Objective

Although digital treatments delivered through social media and the internet are a possibility, it is unclear how interventions using these tools should be tailored for groups with problematic substance use. There is limited research comparing consumer trends of use of social media platforms, use of platform features, and vulnerability of exposure to drug cues online. The goal of this study was to compare digital platforms used among adolescents (Generation Zs, age 13-17) and emerging adults (Millennials, age 18-35) attending outpatient substance use treatment and to examine receptiveness toward these platforms in order to support substance use treatment and recovery.

Methods

Generation Zs and Millennials enrolled in outpatient substance use treatment (n=164) completed a survey examining social media use, digital intervention acceptability, frequency of substance exposure, and substance use experiences. Generation Zs (n=53) completed the survey in July 2018. Millennials (n=111) completed the survey in May 2016.

Results

Generation Zs had an average age of 15.66 (SD 1.18) years and primarily identified as male (50.9%). Millennials had an average age of 27.66 (SD 5.12) years and also primarily identified as male (75.7%). Most participants owned a social media account (Millennials: 82.0%, Generation Zs: 94.3%) and used it daily (Millennials: 67.6%, Generation Zs: 79.2%); however, Generation Zs were more likely to use Instagram and Snapchat, whereas Millennials were more likely to use Facebook. Further, Generation Zs were more likely to use the features within social media platforms (eg, instant messaging: Millennials: 55.0%, Generation Zs: 79.2%; watching videos: Millennials: 56.8%, Generation Zs: 81.1%). Many participants observed drug cues on social media (Millennials: 67.5%, Generation Zs: 71.7%). However, fewer observed recovery information on social media (Millennials: 30.6%, Generation Zs: 34.0%). Participants felt that social media (Millennials: 55.0%, Generation Zs: 49.1%), a mobile phone app (Millennials: 36.9%, Generation Zs: 45.3%), texting (Millennials: 28.8%, Generation Zs: 45.3%), or a website (Millennials: 39.6%, Generation Zs: 32.1%) would be useful in delivering recovery support.

Conclusions

Given the high rates of exposure to drug cues on social media, disseminating recovery support within a social media platform may be the ideal just-in-time intervention needed to decrease the rates of recurrent drug use. However, our results suggest that cross-platform solutions capable of transcending generational preferences are necessary and one-size-fits-all digital interventions should be avoided.

User Experience of an App-Based Treatment for Stress Urinary Incontinence: Qualitative Interview Study

Background

Stress urinary incontinence (SUI) affects 10%-39% of women. Its first-line treatment consists of lifestyle interventions and pelvic floor muscle training (PFMT), which can be performed supervised or unsupervised. Health apps are increasing in number and can be used to improve adherence to treatments. We developed the Tät app, which provides a 3-month treatment program with a focus on PFMT for women with SUI. The app treatment was evaluated in a randomized controlled trial, which demonstrated efficacy for improving incontinence symptoms and quality of life. In this qualitative interview study, we investigated participant experiences of the app-based treatment.

Objective

This study aimed to explore women’s experiences of using an app-based treatment program for SUI.

Methods

This qualitative study is based on telephone interviews with 15 selected women, with a mean age of 47 years, who had used the app in the previous randomized controlled trial. A semistructured interview guide with open-ended questions was used, and the interviews were transcribed verbatim. Data were analyzed according to the grounded theory.

Results

The results were grouped into three categories: “Something new!” “Keeping motivation up!” and “Good enough?” A core category, “Enabling my independence,” was identified. The participants appreciated having a new and modern way to access a treatment program for SUI. The use of new technology seemed to make incontinence treatment feel more prioritized and less embarrassing for the subjects. The closeness to their mobile phone and app features like reminders and visual graphs helped support and motivate the women to carry through the PFMT. The participants felt confident that they could perform the treatment program on their own, even though they expressed some uncertainty about whether they were doing the pelvic floor muscle contractions correctly. They felt that the app-based treatment increased their self-confidence and enabled them to take responsibility for their treatment.

Conclusions

Use of the app-based treatment program for SUI empowered the women in this study and helped them self-manage their incontinence treatment. They appreciated the app as a new tool for supporting their motivation to carry through a slightly challenging PFMT program.

Trial Registration

ClinicalTrials.gov NCT01848938; https://clinicaltrials.gov/ct2/show/NCT01848938 (Archived by WebCite at https://clinicaltrials.gov/ct2/show/NCT01848938)

The Role of Continuous Glucose Monitoring, Diabetes Smartphone Applications, and Self-Care Behavior in Glycemic Control: Results of a Multi-National Online Survey

Background: This study investigated the determinants (with a special emphasis on the role of diabetes app use, use of continuous glucose monitoring (CGM) device, and self-care behavior) of glycemic control of type 1 and type 2 diabetes mellitus (DM). Methods: A web-based survey was conducted using diabetes Facebook groups, online patient-forums, and targeted Facebook advertisements (ads). Demographic, CGM, diabetes app use, and self-care behavior data were collected. Glycemic level data were categorized into hyperglycemia, hypoglycemia, and good control. Multinomial logistic regression stratified by diabetes type was performed. Results: The survey URL was posted in 78 Facebook groups and eight online forums, and ten targeted Facebook ads were conducted yielding 1854 responses. Of those owning smartphones (n = 1753, 95%), 1052 (62.6%) had type 1 and 630 (37.4%) had type 2 DM. More than half of the type 1 respondents (n = 549, 52.2%) and one third the respondents with type 2 DM (n = 210, 33.3%) reported using diabetes apps. Increased odds of experiencing hyperglycemia were noted in persons with type 1 DM with lower educational status (Adjusted Odds Ratio (AOR) = 1.7; 95% Confidence Interval (CI): 1.21–2.39); smokers (1.63, 95% CI: 1.15–2.32), and high diabetes self-management concern (AOR = 2.09, 95% CI: 1.15–2.32). CGM use (AOR = 0.66, 95% CI: 0.44–1.00); “general diet” (AOR = 0.86, 95% CI: 0.79–0.94); and “blood glucose monitoring” (AOR = 0.88, 95%CI: 0.80–0.97) self-care behavior reduced the odds of experiencing hyperglycemia. Hypoglycemia in type 1 DM was reduced by using CGM (AOR = 0.24, 95% CI: 0.09–0.60), while it was increased by experiencing a high diabetes self-management concern (AOR = 1.94, 95% CI: 1.04–3.61). Hyperglycemia in type 2 DM was increased by age (OR = 1.02, 95% CI: 1.00–1.04); high self-management concern (AOR = 2.59, 95% CI: 1.74–3.84); and poor confidence in self-management capacity (AOR = 3.22, 2.07–5.00). Conversely, diabetes app use (AOR = 0.63, 95% CI: 0.41–0.96) and “general diet” self-care (AOR = 0.84, 95% CI: 0.75–0.94), were significantly associated with the reduced odds of hyperglycemia. Conclusion: Diabetes apps, CGM, and educational interventions aimed at reducing self-management concerns and enhancing dietary self-care behavior and self-management confidence may help patients with diabetes to improve glycemic control.

Impact of technology-based interventions for children and young people with type 1 diabetes on key diabetes self-management behaviours and prerequisites: a systematic review

BACKGROUND

The role of technology in the self-management of type 1 diabetes mellitus (T1DM) among children and young people is not well understood. Interventions should aim to improve key diabetes self-management behaviours (self-management of blood glucose, insulin administration, physical activity and dietary behaviours) and prerequisites (psychological outcomes and HbA1c) highlighted in the UK guidelines of the National Institute for Health and Care Excellence (NICE) for management of T1DM. The purpose was to identify evidence to assess the effectiveness of technological tools in promoting aspects of these guidelines amongst children and young people.

METHODS

A systematic review of English language articles was conducted using the following databases: Web of Science, PubMed, Scopus, NUSearch, SAGE Journals, SpringerLink, Google Scholar, Science Direct, Sport Discus, Embase, Psychinfo and Cochrane Trials. Search terms included paediatric, type one diabetes, technology, intervention and various synonyms. Included studies examined interventions which supplemented usual care with a health care strategy primarily delivered through a technology-based medium (e.g. mobile phone, website, activity monitor) with the aim of engaging children and young people with T1DM directly in their diabetes healthcare. Studies did not need to include a comparator condition and could be randomised, non-randomised or cohort studies but not single-case studies.

RESULTS

Of 30 included studies (21 RCTs), the majority measured self-monitoring of blood glucose monitoring (SMBG) frequency, clinical indicators of diabetes self-management (e.g. HbA1c) and/or psychological or cognitive outcomes. The most positive findings were associated with technology-based health interventions targeting SMBG as a behavioural outcome, with some benefits found for clinical and/or psychological diabetes self-management outcomes. Technological interventions were well accepted by children and young people. For the majority of included outcomes, clinical relevance was deemed to be little or none.

CONCLUSIONS

More research is required to assess which elements of interventions are most likely to produce beneficial behavioural outcomes. To produce clinically relevant outcomes, interventions may need to be delivered for at least 1 year and should consider targeting individuals with poorly managed diabetes. It is not possible to determine the impact of technology-based interventions on insulin administration, dietary habits and/or physical activity behaviour due to lack of evidence.

Type 1 diabetes self-management: developing a web-based telemedicine application

BACKGROUND

Self-management skills are essential for patients with diabetes mellitus to minimise the risks of complications from their condition. The aim of this research was to develop a web-based application for self-management of type 1 diabetes, suitable for use by patients, their carers and physicians.

METHOD

The study was comprised of two phases, the first being analysis of the kind of information and capabilities required by potential users of the system. Based on the results derived from the first phase of the study, the system prototype was designed and then evaluated using the 'think aloud' method and a standard questionnaire. The application was designed for use by patients, their carers and physicians. Patients could enter the level of blood glucose, insulin and activities on a daily basis, and physicians were able to supervise a patient's health status from a distance.

RESULTS

Users were generally satisfied with the final version of the system. People with a wide range of literacy skills were able to use the system effectively.

CONCLUSION

Patients or their carers could use the web-based application as a log book by entering the level of blood glucose and insulin doses on a regular basis, and as an educational resource to improve self-management skills. Physicians could use the system at any time convenient to them to support patients by giving medical advice. Further research is needed to report the effectiveness of the system in practice.

Technology in the management of type 1 diabetes mellitus - current status and future prospects

Type 1 diabetes mellitus (T1DM) represents 5-10% of diabetes cases worldwide. The incidence of T1DM is increasing, and there is no immediate prospect of a cure. As such, lifelong management is required, the burden of which is being eased by novel treatment modalities, particularly from the field of diabetes technologies. Continuous glucose monitoring has become the standard of care and includes factory-calibrated subcutaneous glucose monitoring and long-term implantable glucose sensing. In addition, considerable progress has been made in technology-enabled glucose-responsive insulin delivery. The first hybrid insulin-only closed-loop system has been commercialized, and other closed-loop systems are under development, including dual-hormone glucose control systems. This Review focuses on well-established diabetes technologies, including glucose sensing, pen-based insulin delivery, data management and data analytics. We also cover insulin pump therapy, threshold-based suspend, predictive low-glucose suspend and single-hormone and dual-hormone closed-loop systems. Clinical practice recommendations for insulin pump therapy and continuous glucose monitoring are presented, and ongoing research and future prospects are highlighted. We conclude that the management of T1DM is improved by diabetes technology for the benefit of the majority of people with T1DM, their caregivers and guardians and health-care professionals treating patients with T1DM.

Testing a Smartphone App (Young with Diabetes) to Improve Self-Management of Diabetes Over 12 Months: Randomized Controlled Trial

Background

Young people often struggle to self-manage type 1 diabetes during the transition from childhood to adulthood. Mobile health (mHealth) apps may have the potential to support self-management, but evidence is limited and randomized controlled trials are needed.

Objective

We assessed whether the mHealth app “Young with Diabetes” improved young people’s self-management measured by glycated hemoglobin (HbA_1c) and three self-reported psychometric scales.

Methods

Young people (14-22 years) with inadequate glycemic control and their parents were enrolled in a randomized controlled trial and assigned either to Young with Diabetes and usual care (Young with Diabetes group) or to usual care alone (control). Young with Diabetes use was monitored; functions included a chat room, contact the health care provider, reminders, tips, information about the diabetes department and type 1 diabetes topics, carbohydrate counting, and a parents’ section. Outcomes included HbA_1c and three self-reported psychometric scales: Perceived Competence in Diabetes Scale; Health Care Climate Questionnaire; and Problem Areas In Diabetes care survey. Data were collected at baseline and at 2, 7, and 12 months.

Results

A total of 151 young people were randomized (Young with Diabetes group=76, control=75) and 49 parents agreed to participate. At 12 months, HbA_1c was significantly higher (4.1 mmol/mol; 0.4 %) in the Young with Diabetes group, compared to the control group (P=.04); this finding did not occur when comparing app users (Young with Diabetes use ≥5 days) with nonusers. Young people used Young with Diabetes on a mean of 10.5 days. They spent the most time chatting about alcohol and searching for information about sex. Most young people and half of the parents reported that Young with Diabetes helped them. More than 80% would recommend Young with Diabetes to peers.

Conclusions

Young with Diabetes did not improve HbA_1c, but it may be a useful complement to self-management. Qualitative evaluation is needed to explore benefits and shortcomings of Young with Diabetes. Health care providers should address young peoples’ knowledge about sensitive topics, provide them with peer support, and be aware of parents’ need for information about how to support

Trial Registration

ClinicalTrials.gov NCT02632383; https://clinicaltrials.gov/ct2/show/NCT02632383 (Archived by WebCite at http://www.webcitation.org/6zCK2u7xM)

Advancing diabetes management in adolescents: Comparative effectiveness of mobile self-monitoring blood glucose technology and family-centered goal setting

BACKGROUND

As adolescents gain autonomy, it remains important for parents to be involved with diabetes management to avoid deterioration in glycemic control. Technologies for self-monitoring of blood glucose (SMBG) allow for remote monitoring in real-time by parents. This research compared 3 strategies for improving SMBG and diabetes self-care in the short-term. These strategies were: (1) health information technology (HIT)-enhanced blood glucose meter that shared blood glucose data among patients, their parent, and care providers, and allowed for text messaging; (2) family-centered goal setting; and (3) a combination of (1) and (2).

METHODS

One hundred twenty-eight participants enrolled; 97 adolescent-parent pairs attended clinic at 3-month intervals during the 6-month intervention. Differences between treatment groups were evaluated using analysis of variance (ANOVAs) for continuous variables and χ² tests for frequencies. Within patient changes were evaluated using paired t tests.

RESULTS

Participants in the HIT-enhanced SMBG group had no change in mean glycosylated hemoglobin (HbA1c). Participants assigned to family-centered goal setting had a non-significant decrease in HbA1c of -0.3% (P = .26) from baseline to 6 months. Participants in the combined approach had a significant decrease in HbA1c of -0.6% (P = .02) from baseline to 3 months, but the decrease of -0.4% at 6 months was non-significant (P = .51). The change in HbA1c from baseline to 3 months was greater for the combined approach than for the HIT-enhanced SMBG (P = .05) or family-centered goal setting (P = .01).

CONCLUSIONS

Our data suggest that utilizing the family-centered goal setting strategy when implementing HIT-enhanced diabetes technology deserves further study.

Mobile Application vs Paper Pictorial Blood Assessment Chart to Track Menses in Young Women: A Randomized Cross-over Design

STUDY OBJECTIVE

Heavy menstrual bleeding is a common symptom reported by approximately 30% of women. The Pictorial Blood Assessment Chart (PBAC) score is often used to quantify severity of menstrual bleeding. However, the traditional PBAC paper diary might be subject to recall bias and compliance issues, especially in adolescents. We developed a mobile application (app) version of the PBAC score and evaluated patient satisfaction and compliance with app reporting vs paper reporting. DESIGN, SETTING, PARTICIPANTS, INTERVENTIONS, AND MAIN OUTCOME MEASURES: This study was a randomized cross-over study of 25 postmenarchal female adolescents and young women ages 13-21 years. Participants agreed to track bleeding in 2 consecutive menstrual cycles and were randomized to use the PBAC paper diary or mobile app format first. At the end of each cycle, a satisfaction survey and system usability scale (app only) was used to assess the acceptability of the format used.

RESULTS

Twenty-five participants had a median age of 15 years. Cross-over analysis showed that satisfaction level was significantly higher for the app (P < .001). Twenty of 25 (80%) participants preferred the app over the paper diary. For the app, 20 of 25 participants (80%) had high compliance for reporting bleeding, with a mean of 2 app entries per day. Participants' PBAC scores did not vary significantly between the paper diary (median, 95) and mobile app (median, 114). All paper diaries met definition for high compliance. There was no significant period or carryover effect.

CONCLUSION

This study showed that a PBAC app compared with the paper diary was the preferred method of recording menstrual bleeding in adolescents and showed feasibility as a research data collection tool.

Improving Glycemic Control in Adults and Children With Type 1 Diabetes With the Use of Smartphone-Based Mobile Applications: A Systematic Review

OBJECTIVES

Management of type 1 diabetes is often challenging. Smartphone mobile applications (apps) may provide additional support and help to improve glycemic control and clinical outcomes. The objectives of this study were to examine the literature evaluating the use of mobile apps (stand-alone and text messaging/feedback) in type 1 diabetes and to review top-rated mobile apps applicable to type 1 diabetes.

METHODS

Medline, Cochrane and Embase databases were systematically searched to identify studies published from inception to February 2018. Top-rated relevant apps from Google Play Store and Apple App Store were reviewed in July 2017.

RESULTS

The literature search yielded 3,462 studies. Of these studies, 9 evaluated the stand-alone apps; 3 showed significant improvement in glycated hemoglobin (A1C) levels (0.5%, p<0.05, 0.57%, p<0.05, and 0.58%, p=0.02); 3 demonstrated improved adherence to glucose monitoring; and 1 study demonstrated a reduction in hypoglycemic events (glucose<3.0 mmol/L) in 6 of 10 participants who completed the study. Also, 5 studies evaluated a mobile app plus text-messaging/feedback system. Only 1 showed a significant reduction in severe hypoglycemic events (mobile app+text, IQR 0.33, 95% CI 0.17 to 0.63; vs. control, IQR 2.29, 95% CI 1.80 to 2.91), while another single study demonstrated a reduction in median glycated hemoglobin levels (0.3%; p<0.001). Most top-rated mobile apps logged parameters relevant to diabetes management, and some provided graphic analysis and set reminders.

CONCLUSIONS

This study highlights the need for larger and longer studies to explore the efficacy of apps to optimize outcomes in type 1 diabetes, the populations that would benefit most from these tools and the resources needed to support mobile apps plus text-messaging/feedback systems.

Exploring the Influence of a Smartphone App (Young with Diabetes) on Young People's Self-Management: Qualitative Study

Background

Adequate self-management is the cornerstone of preventing type 1 diabetes mellitus (T1DM) complications. However, T1DM self-management is challenging for young people, who often struggle during the transition from childhood to adulthood. The mobile health (mHealth) app Young with Diabetes (YWD) was developed in collaboration with young people to enhance their T1DM self-management during this transition.

Objective

The purpose of this study was to explore the influence of YWD on young people’s self-management during a 12-month period.

Methods

A qualitative explorative approach was used, comprising a purposive sample of 20 young people (11 females and 9 males, ages 15 to 23 years, with app use of 3 to 64 days) from 3 pediatric and 3 adult departments. Participants were interviewed individually using a semistructured interview guide. Data were collected from January to March 2017 and analyzed using thematic analysis.

Results

A total of 5 themes were identified: (1) not feeling alone anymore (“we are in this together”); (2) gaining competence by sharing experiences and practical knowledge (“they know what they are talking about”); (3) feeling safer (“it’s just a click away”); (4) breaking the ice by starting to share thoughts and feelings and asking for help (“it is an outstretched hand”); and (5) lack of motivating factors (“done with the app”). Young people reported that YWD promoted self-management by peer-to-peer social support, exchanging messages with health care providers, and sharing YWD with parents. Participants recommended YWD as a supplement to self-management for newly diagnosed young people with T1DM and suggested improvements in app content and functionality.

Conclusions

The mHealth app YWD has the potential to support self-management. In particular, peer-to-peer support reduced feelings of loneliness and helped young people to gain knowledge and skills for managing T1DM. A need exists for alternative ways to train health care providers in using YWD and to support collaboration between young people and their parents to further improve young people’s self-management of T1DM.

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.

End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review

BACKGROUND

Chronic noncommunicable diseases (NCDs) such as asthma, diabetes, cancer, and persistent musculoskeletal pain impose an escalating and unsustainable burden on young people, their families, and society. Exploring how mobile health (mHealth) technologies can support management for young people with NCDs is imperative.

OBJECTIVE

The aim of this study was to identify, appraise, and synthesize available qualitative evidence on users' experiences of mHealth technologies for NCD management in young people. We explored the perspectives of both end users (young people) and implementers (health policy makers, clinicians, and researchers).

METHODS

A systematic review and meta-synthesis of qualitative studies. Eligibility criteria included full reports published in peer-reviewed journals from January 2007 to December 2016, searched across databases including EMBASE, MEDLINE (PubMed), Scopus, and PsycINFO. All qualitative studies that evaluated the use of mHealth technologies to support young people (in the age range of 15-24 years) in managing their chronic NCDs were considered. Two independent reviewers identified eligible reports and conducted critical appraisal (based on the Joanna Briggs Institute Qualitative Assessment and Review Instrument: JBI-QARI). Three reviewers independently, then collaboratively, synthesized and interpreted data through an inductive and iterative process to derive emergent themes across the included data. External validity checking was undertaken by an expert clinical researcher and for relevant content, a health policy expert. Themes were subsequently subjected to a meta-synthesis, with findings compared and contrasted between user groups and policy and practice recommendations derived.

RESULTS

Twelve studies met our inclusion criteria. Among studies of end users (N=7), mHealth technologies supported the management of young people with diabetes, cancer, and asthma. Implementer studies (N=5) covered the management of cognitive and communicative disabilities, asthma, chronic self-harm, and attention deficit hyperactivity disorder. Quality ratings were higher for implementer compared with end user studies. Both complementary and unique user themes emerged. Themes derived for end users of mHealth included (1) Experiences of functionality that supported self-management, (2) Acceptance (technical usability and feasibility), (3) Importance of codesign, and (4) Perceptions of benefit (self-efficacy and empowerment). For implementers, derived themes included (1) Characteristics that supported self-management (functional, technical, and behavior change); (2) Implementation challenges (systems level, service delivery level, and clinical level); (3) Adoption considerations for specific populations (training end users; specific design requirements); and (4) Codesign and tailoring to facilitate uptake and person-centered care.

CONCLUSIONS

Synthesizing available data revealed both complementary and unique user perspectives on enablers and barriers to designing, developing, and implementing mHealth technologies to support young people's management of their chronic NCDs.

TRIAL REGISTRATION

PROSPERO CRD42017056317; http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD 42017056317 (Archived by WebCite at http://www.webcitation.org/6vZ5UkKLp).

Adherence to self-monitoring healthy lifestyle behaviours through mobile phone-based ecological momentary assessments and photographic food records over 6 months in mostly ethnic minority mothers

OBJECTIVE

Mobile phones can replace traditional self-monitoring tools through cell phone-based ecological momentary assessment (CEMA) of lifestyle behaviours and camera phone-based images of meals, i.e. photographic food records (PFR). Adherence to mobile self-monitoring needs to be evaluated in real-world treatment settings. Towards this goal, we examine CEMA and PFR adherence to the use of a mobile app designed to help mothers self-monitor lifestyle behaviours and stress. Design/Setting In 2012, forty-two mothers recorded CEMA of diet quality, exercise, sleep, stress and mood four times daily and PFR during meals over 6 months in Los Angeles, California, USA.

SUBJECTS

A purposive sample of mothers from mixed ethnicities.

RESULTS

Adherence to recording CEMA at least once daily was higher compared with recording PFR at least once daily over the study period (74 v. 11 %); adherence to both types of reports decreased over time. Participants who recorded PFR for more than a day (n 31) were more likely to be obese v. normal- to overweight and to have higher blood pressure, on average (all P<0·05). Based on random-effects regression, CEMA and PFR adherence was highest during weekdays (both P<0·01). Additionally, PFR adherence was associated with older age (P=0·04). CEMA adherence was highest in the morning (P<0·01). PFR recordings occurred throughout the day.

CONCLUSIONS

Variations in population and temporal characteristics should be considered for mobile assessment schedules. Neither CEMA nor PFR alone is ideal over extended periods.

Designing a Self-Management App for Young People With Type 1 Diabetes: Methodological Challenges, Experiences, and Recommendations

Background

Young people with type 1 diabetes often struggle to self-manage their disease. Mobile health (mHealth) apps show promise in supporting self-management of chronic conditions such as type 1 diabetes. Many health care providers become involved in app development. Unfortunately, limited information is available to guide their selection of appropriate methods, techniques, and tools for a participatory design (PD) project in health care.

Objective

The aim of our study was to develop an mHealth app to support young people in self-managing type 1 diabetes. This paper presents our methodological recommendations based on experiences and reflections from a 2-year research study.

Methods

A mixed methods design was used to identify user needs before designing the app and testing it in a randomized controlled trial. App design was based on qualitative, explorative, interventional, and experimental activities within an overall iterative PD approach. Several techniques and tools were used, including workshops, a mail panel, think-aloud tests, and a feasibility study.

Results

The final mHealth solution was “Young with Diabetes” (YWD). The iterative PD approach supported researchers and designers in understanding the needs of end users (ie, young people, parents, and health care providers) and their assessment of YWD, as well as how to improve app usability and feasibility. It is critical to include all end user groups during all phases of a PD project and to establish a multidisciplinary team to provide the wide range of expertise required to build a usable and useful mHealth app.

Conclusions

Future research is needed to develop and evaluate more efficient PD techniques. Health care providers need guidance on what tools and techniques to choose for which subgroups of users and guidance on how to introduce an app to colleagues to successfully implement an mHealth app in health care organizations. These steps are important for anyone who wants to design an mHealth app for any illness.