Importance Mobile health interventions are increasingly popular in pediatrics; however, it is unclear how effective these interventions are in changing health outcomes. Objective To determine the effectiveness of mobile health interventions for improving health outcomes in youth 18 years or younger. Data Sources Studies published through November 30, 2016, were collected through PubMed, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, and PsychINFO. Backward and forward literature searches were conducted on articles meeting study inclusion criteria. Search terms included telemedicine , eHealth , mobile health , mHealth , app , and mobile application . Study Selection Search results were limited to infants, children, adolescents, or young adults when possible. Studies were included if quantitative methods were used to evaluate an application of mobile intervention technology in a primary or secondary capacity to promote or modify health behavior in youth 18 years or younger. Studies were excluded if the article was an unpublished dissertation or thesis, the mean age of participants was older than 18 years, the study did not assess a health behavior and disease outcome, or the article did not include sufficient statistics. Inclusion and exclusion criteria were applied by 2 independent coders with 20% overlap. Of 9773 unique articles, 36 articles (containing 37 unique studies with a total of 29 822 participants) met the inclusion criteria. Data Extraction and Synthesis Of 9773 unique articles, 36 articles (containing 37 unique studies) with a total of 29 822 participants met the inclusion criteria. Effect sizes were calculated from statistical tests that could be converted to standardized mean differences. All aggregate effect sizes and moderator variables were tested using random-effects models. Main Outcomes and Measures Change in health behavior or disease control. Results A total of 29 822 participants were included in the studies. In studies that reported sex, the total number of females was 11 226 (53.2%). Of those reporting age, the average was 11.35 years. The random effects aggregate effect size of mobile health interventions was significant (n = 37; Cohen d  = 0.22; 95% CI, 0.14-0.29). The random effects model indicated that providing mobile health intervention to a caregiver increased the strength of the intervention effect. Studies that involved caregivers in the intervention produced effect sizes (n = 16; Cohen d  = 0.28; 95% CI, 0.18-0.39) larger than those that did not include caregivers (n = 21; Cohen d  = 0.13; 95% CI, 0.02-0.25). Other coded variables did not moderate study effect size. Conclusions and Relevance Mobile health interventions appear to be a viable health behavior change intervention modality for youth. Given the ubiquity of mobile phones, mobile health interventions offer promise in improving public health.

Mobile Health Interventions for Improving Health Outcomes in Youth: A Meta-analysis.

Distal technologies and type 1 diabetes management

Mobile phone text messaging in improving glycaemic control for patients with type 2 diabetes mellitus: A systematic review and meta-analysis.

Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Background:There is growing evidence for the feasibility of text-based interventions for pediatric patients with type 1 diabetes (T1D). However, less is known regarding whether the use of personalized text messages with high-risk youth and their caregivers is associated with improvements in youth health. This study examines the use of diabetes-specific texts and associated health outcomes for participants of the Novel Interventions in Children’s Healthcare (NICH) program.Methods:Text messages sent to youth with T1D and their caregivers during NICH intervention were coded regarding diabetes relevance and adherence-related content. Health outcome data (eg, HbA1c values, hospital admissions) prior to and following NICH program enrollment were collected.Results:Fewer than half (43%) of texts sent to patients and their caregivers were identified as being related to diabetes, and over 95% of diabetes-related texts were identified as adherence-related. Participants in the NICH program demonstrated a significant ...

NICH at Its Best for Diabetes at Its Worst: Texting Teens and Their Caregivers for Better Outcomes

We conducted a feasibility study of a mobile phone messaging service for children and adolescents with type 1 diabetes. Two hundred children with type 1 diabetes took part in a six-month trial. The children were provided - through their parents - with daily information messages, with weekly interactive messages, and on request, with multimedia video messages about procedures related to diabetes care. During the study, approximately 30,000 information messages and 2800 interactive messages were sent. One month before the trial, the mean fasting blood glucose level of the children was 150 mg/dl. After the trial, the mean fasting blood glucose level was 133 mg/dl (P < 0.001). There were also significant reductions in post prandial blood glucose level, HbA1c, frequency of simple hypoglycaemic attacks and frequency of blood glucose monitoring. A before and after questionnaire showed that the parents' knowledge of diabetes had improved significantly during the trial. Mobile phone text messaging offers a useful means of contact between clinic visits. The results of the trial suggest that it increases adherence to diabetes therapy and improves clinical outcomes in children and adolescents with type 1 diabetes.

Effect of mobile phone short text messages on glycaemic control in children with type 1 diabetes.

Background: Both everolimus and peptide receptor radionuclide therapy (PRRT) are approved as monotherapies for advanced neuroendocrine tumors (NETs). Research in animal models showed synergism between the two treatment modalities. This study aimed to evaluate the safety and efficacy of combining everolimus and PRRT in the treatment of unresectable NETs. Methods: Adult patients (≥18 years) with progressing and unresectable histologically confirmed grade 1-2 NETs of all origins were enrolled. Everolimus was started at a 5 mg daily dose and was increased after the initial three patients to 10 mg daily. Patients were treated concurrently with 177Lu-DOTATATE at an 8-week interval, with planned four cycles. Safety was the primary endpoint, with response rate and progression-free survival (PFS) being secondary. Results: Eleven patients were enrolled. The trial was terminated early for poor accrual. The median age was 51 years (18-64), and 4 were males. The median number of cycles of 177Lu-DOTATATE was 3, and the median cumulative dose was 300 mCi. The most frequent grade 1-2 toxicities were stomatitis (90.9%) and nausea (72.7%). Less frequent were fatigue (63.6%), anorexia, diarrhea, and skin changes (each at a 36.4% rate). Grade 3 toxicities occurred in 36% (fatigue, infection, pneumonitis, neutropenia, and stroke). No patient developed grade 4 toxicity. Treatment was stopped because of progression in three patients, and toxicity in another three patients, in addition, in four patients due to therapy interruption and in one patient who developed stroke. One patient achieved partial response, and nine had stable disease. One patient developed disease progression. At a median follow-up of 18.9 months, three died and one was lost to follow-up. The median PFS was 23.3 months. Conclusions: The combination of everolimus at a dose of 10 mg daily and 177Lu-DOTATATE appears not to be feasible. A larger trial at a lower dose of everolimus is warranted.

Abdelmoneim El-Dali

Papers

Effect of mobile phone short text messages on glycaemic control in children with type 1 diabetes.

Efficacy of Everolimus Combined with 177Lu-Dotatate in the Treatment of Neuroendocrine Tumors.