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 Studies were excluded if the article was an unpublished dissertation or thesis, the mean age of participants was older than 18 years, the study did not assess a health behavior and disease outcome, or the article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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037338 | PMC |
http://dx.doi.org/10.1001/jamapediatrics.2017.0042 | DOI Listing |
BMJ Open Qual
January 2025
Rheumatology and immunology department, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
Objectives: This study sought to assess the effectiveness of nurse-led care (NLC) in patients with rheumatoid arthritis (RA).
Methods: We conducted a comprehensive search of the Cochrane Library, Web of Science, PubMed, Embase, CINAHL, ClinicalTrials.gov databases and the references from relevant literature published prior to May 2023.
BMJ Glob Health
January 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.
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January 2025
Section of Palliative Care and Medical Ethics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Palliative Research Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; School of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Context: Specialty palliative care remains inaccessible for many with serious illness, especially in rural areas. Telehealth may be one solution.
Objectives: To describe how telehealth increases access to specialty palliative care, describe facilitators and barriers to its use, and summarize evidence of patient benefits.
Environ Res
January 2025
College of Water Sciences, Beijing Normal University, Beijing 100875, China. Electronic address:
Urban rivers are the main water bodies humans frequently come into contact with, so the risks posed are closely monitored. Antibiotic resistance genes (ARGs) residues in reclaimed water pose serious risks to human health. There are urgent needs to improve the understanding of distribution of and risks posed by ARGs in urban rivers.
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