Cited by 317Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsMobile Learning in Education

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

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

Open access

Fedele, David A., Cushing, Christopher C., Fritz, Alyssa, Amaro, Christina M., Ortega, Adrian·2017·JAMA Pediatrics

DOI 10.1001/jamapediatrics.2017.0042PMC PMC6037338

Open this paper in CoChat — free account

Abstract

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 Studies were excluded if the article was an unpublished dissertation or thesis, the mean age of participants was older than 18 years, the study did not assess a health behavior and disease outcome, or the article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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1001/jamapediatrics.2017.0042

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,415
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
Untitled work
(2000) · Cited by 9,198
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068 · cited 1×
“omnibus test, 634 null findings would be necessary to overturn the findings presented herein.(51)”
Background
Update on Key Emerging Challenges in Cystic Fibrosis
Jennings, M. T., Riekert, K. A., & Boyle, M. (2014) · Medical Principles and Practice · doi:10.1159/000357646 · Cited by 3,671
The Handbook of Research Synthesis.
Howel, D., Cooper, H., & Hedges, L. V. (1995) · Biometrics · doi:10.2307/2533295 · Cited by 3,657
Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1376 · Cited by 2,517
The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001363 · Cited by 1,187
Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review
Hamine, S., Gerth-Guyette, E., Faulx, D., Green, B. B., & Ginsburg, A. S. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3951 · Cited by 1,149 · cited 1×
“Theubiquitousnatureofmobilephoneusecoupledwith continual technological advances have given rise to a proliferation inmobilehealth (mHealth) interventions inwhichmobile devices target a range of health promotion and disease management foci.(5,6)”
Background
Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study
Cafazzo, J. A., Casselman, M., Hamming, N., Katzman, D. K., & Palmert, M. R. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2058 · Cited by 676

Flagged first, then by citations

Show all 56 references

Research works printed but not linked: 4

[2]Smith A. Chapter one: a portrait of smartphone ownership. PewResearchCenter. http://www.pewinternet.org/2015/04/01/chapter-one-a-portrait-of-smartphone-ownership/. Published April 1, 2015. Accessed September 10, 2016.
[14]Lu F, Turner KMB. Reducing adolescent obesity with a mobile fitness application: study results of youth age 15 to 17. Paper presented at: 2013 Institute of Electrical and Electronics Engineers 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013); Lisbon, Portugal. [Google Scholar]
[15]Higgins J, Green S. Cochrane Handbook for Systematic Reviews of Interventions. Chichester, England: Wiley-Blackwel; 2011. [Google Scholar]
[32]Hashemian TS, Kritz-Silverstein D, Baker R. Text2Floss: the feasibility and acceptability of a text messaging intervention to improve oral health behavior and knowledge. J Public Health Dent. 2015;75(1):34-41. [DOI] [PubMed] [Google Scholar]

Sorted by citations

Items 101–200 of 317

The effect of short message service intervention on glycemic control in diabetes: a systematic review and meta-analysis
Huang, L., Yan, Z., & Huang, H. (2019) · Postgraduate Medicine · doi:10.1080/00325481.2019.1668723 · Cited by 23
User-centred development of an mHealth app for youth with type 1 diabetes: the challenge of operationalizing desired features and feasibility of offering financial incentives
Krmpotic, K. R., Gallant, J., Zufelt, K., & Zuijdwijk, C. (2022) · Health and Technology · doi:10.1007/s12553-022-00656-9 · Cited by 19
Refinement of a Parent–Child Shared Asthma Management Mobile Health App: Human-Centered Design Study
Sonney, J., Cho, E., Zheng, Q., & Kientz, J. A. (2022) · JMIR Pediatrics and Parenting · doi:10.2196/34117 · Cited by 20
Harnessing Phones to Target Pediatric Populations with Socially Complex Needs: Systematic Review
Stiles‐Shields, C., Potthoff, L. M., Bounds, D. T., Burns, M. T. S., Draxler, J. M., Otwell, C. H., Wolodiger, E. D., Westrick, J. C., & Karnik, N. S. (2020) · JMIR Pediatrics and Parenting · doi:10.2196/19269 · Cited by 19
Development and preliminary testing of a technology-enhanced intervention to improve energy intake regulation in children
Reigh, N. A., Rolls, B. J., Savage, J. S., Johnson, S. L., & Keller, K. (2020) · Appetite · doi:10.1016/j.appet.2020.104830 · Cited by 19
Social Media to Promote Treatment Adherence Among Adolescents and Young Adults With Chronic Health Conditions: A Topical Review and TikTok Application
Psihogios, A. M., Ahmed, A. M., McKelvey, E. R., Toto, D. R., Avila, I., Hekimian-Brogan, E., Steward, Z., Schwartz, L. A., & Barakat, L. P. (2022) · Clinical Practice in Pediatric Psychology · doi:10.1037/cpp0000459 · Cited by 22
Adolescents’ Perspectives on a Mobile App for Relationships: Cross-Sectional Survey
O’Dea, B., Achilles, M. R., Werner‐Seidler, A., Batterham, P. J., Calear, A. L., Perry, Y., Shand, F., & Christensen, H. M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8831 · Cited by 18
Harnessing the Potential of Emerging Digital Health and Biological Sampling Technologies for Clinical Drug Development: Promise to Reality
Kothare, P. A., Jadhav, P. R., Gupta, P. K., Harrelson, J. C., & Dickmann, L. J. (2018) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1100 · Cited by 18
Acceptability of an mHealth App for Youth With Substance Use and Mental Health Needs: Iterative, Mixed Methods Design
Adams, Z. W., Grant, M., Hupp, S., Scott, T., Feagans, A. C., Phillips, M. L., Bixler, K., Nallam, P. T., & Putt, D. L. (2021) · JMIR Formative Research · doi:10.2196/30268 · Cited by 18
Digital Tools—Regulatory Considerations for Application in Clinical Trials
Gelis, L., Stoeckert, I., & Podhaisky, H.-P. (2023) · Therapeutic Innovation & Regulatory Science · doi:10.1007/s43441-023-00535-z · Cited by 19
Medication administration by caregiving youth: An inside look at how adolescents manage medications for family members
Nickels, M., Siskowski, C., Lebron, C. N., & Belkowitz, J. (2018) · Journal of Adolescence · doi:10.1016/j.adolescence.2018.09.001 · Cited by 17
Considering Culture: A Review of Pediatric Behavioral Intervention Research in Type 1 Diabetes
Rose, M., Aronow, L., Breen, S., Tully, C., Hilliard, M. E., Butler, A. M., & Streisand, R. M. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-0987-3 · Cited by 17
Introduction to the Special Issue on Adolescent and Young Adult Health: Why We Care, How Far We Have Come, and Where We Are Going
Devine, K. A., Monaghan, M. C., & Schwartz, L. A. (2017) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsx101 · Cited by 17
A Text Messaging Intervention With Financial Incentive for Adolescents With Type 1 Diabetes
Kaushal, T., Katz, L. E. L., JOSEPH, J., Marowitz, M., Morales, K. H., Atkins, D., RITTER, D. P., Simon, R., Laffel, L. M., & Lipman, T. H. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820952786 · Cited by 16
An mHealth Physical Activity Intervention for Latina Adolescents: Iterative Design of the Chicas Fuertes Study
Larsen, B. A., Greenstadt, E., Olesen, B., Marcus, B. H., Godino, J., & Zive, M. (2021) · JMIR Formative Research · doi:10.2196/26195 · Cited by 16
Designing User-Centered Mobile Health Initiatives to Promote Healthy Behaviors for Children With Disabilities: Development and Usability Study
Shikako‐Thomas, K., Mogo, E., Grand’Maison, V., Simpson, R., Pritchard, L., & Majnemer, A. (2021) · JMIR Formative Research · doi:10.2196/23877 · Cited by 19
Effectiveness of mHealth–Safe Kids Hospital for the prevention of hospitalized children safety incidents: A randomized controlled trial
Park, I. T., Oh, W., Jang, G., & Han, J. (2021) · Journal of Nursing Scholarship · doi:10.1111/jnu.12693 · Cited by 16
Reducing Dental Anxiety in Children Using a Mobile Health App: Usability and User Experience Study
del Carmen, M. D. C., Cagigas-Muñiz, D., García-Robles, R., & Oprescu, A. M. (2021) · JMIR Formative Research · doi:10.2196/30443 · Cited by 17
An mHealth App to Promote Adherence to Immunosuppressant Medication and Track Symptoms in Children After Hematopoietic Stem Cell Transplant: Protocol for a Mixed Methods Usability Study
Skeens, M. A., Sezgın, E., Stevens, J. H., Landier, W., Pai, A. L. H., & Gerhardt, C. A. (2022) · JMIR Research Protocols · doi:10.2196/39098 · Cited by 17
Lessons from early stage pilot studies to maximize the impact of digital health interventions for sexual and reproductive health
McCoy, S. I., & Packel, L. J. (2020) · mHealth · doi:10.21037/mhealth.2020.02.03 · Cited by 16
High cellphone use associated with greater risk of depression among young women aged 15–24 years in Soweto and Durban, South Africa
Dietrich, J. J., Otwombe, K. N., Pakhomova, T. E., Horvath, K. J., Hornschuh, S., Hlongwane, K. E., Closson, K., Mulaudzi, M., Smith, P. M., Beksinska, M. E., et al. (2021) · Global Health Action · doi:10.1080/16549716.2021.1936792 · Cited by 15
Technology-Based Obesity Prevention Interventions Among Hispanic Adolescents in the United States: Scoping Review
Soltero, E. G., Lopez, C., Hernandez, E., O’Connor, T. M., & Thompson, D. I. (2022) · JMIR Pediatrics and Parenting · doi:10.2196/39261 · Cited by 16
Participants’ experience and engagement in check it!: A positive psychology intervention for adolescents with type 1 diabetes.
Bergner, E. M., Whittemore, R., Patel, N. J., Savin, K. L., Hamburger, E., & Jaser, S. S. (2018) · Translational Issues in Psychological Science · doi:10.1037/tps0000161 · Cited by 14
Promoting Behavioral Change in Mobile Health Interventions for Older Adults: A Scoping Review
Zaslavsky, O., Roopsawang, I., & Chen, A. (2019) · Research in Gerontological Nursing · doi:10.3928/19404921-20191031-01 · Cited by 15
Evaluating Child Toothbrushing Behavior Changes Associated with a Mobile Game App: A Single Arm Pre/Post Pilot Study.
Jacobson, D., Jacobson, J., Leong, T. L., Lourenco, S. F., Mancl, L., & Chi, D. L. (2019) · PubMed · Cited by 15
Adaptive Mobile Health Intervention for Adolescents with Asthma: Iterative User-Centered Development
Fedele, D. A., Cushing, C. C., Koskela-Staples, N. C., Patton, S. R., McQuaid, E. L., Smyth, J. M., Prabhakaran, S., Gierer, S. A., & Nezu, A. M. (2020) · JMIR mhealth and uhealth · doi:10.2196/18400 · Cited by 15
Self-citation
Health Literacy and Primordial Prevention in Childhood—An Opportunity to Reduce the Burden of Cardiovascular Disease
Climie, R. E., Fuster, V., & Empana, J. P. (2020) · JAMA Cardiology · doi:10.1001/jamacardio.2020.2864 · Cited by 15
Mobile health apps use among Jordanian outpatients: A descriptive study
Qan’ir, Y., Khalifeh, A. H., Eid, M., Hammad, B., & Al-Batran, M. (2021) · Health Informatics Journal · doi:10.1177/14604582211017940 · Cited by 15
Feasibility and usability of a mobile health tool on anticoagulation management for patients with atrial fibrillation: a pilot study
Zhang, C., Pan, M.-M., Wang, N., Wang, W., Li, Z., Gu, Z., & Lin, H. (2021) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-021-03236-4 · Cited by 15
Theory-driven development of a mobile phone supported intervention for adolescents with perinatal depression
Kola, L., Abiona, D., Oladeji, B. D., Ayinde, O. O., Bello, T., & Gureje, O. (2021) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-021-02198-3 · Cited by 18
Chronic pediatric diseases and risk for reading difficulties: a narrative review with recommendations
Perazzo, D., Moore, R. P., Kasparian, N. A., Rodts, M. E., Horowitz‐Kraus, T., Crosby, L. E., Turpin, B. K., Beck, A. F., & Hutton, J. (2022) · Pediatric Research · doi:10.1038/s41390-022-01934-y · Cited by 19
Ethical considerations for developing pediatric mhealth interventions for teens with socially complex needs
Bounds, D. T., Stiles‐Shields, C., Schueller, S. M., Odgers, C. L., & Karnik, N. S. (2022) · Journal of Child and Adolescent Psychiatric Nursing · doi:10.1111/jcap.12396 · Cited by 15
Evaluating the Effectiveness of an Intervention Integrating Technology and In-Person Sexual Health Education for Adolescents (In the Know): Protocol for a Cluster Randomized Controlled Trial
Decker, M. J., Gutmann‐Gonzalez, A., Price, M. M., Romero, J., Sheoran, B., & Yarger, J. (2020) · JMIR Research Protocols · doi:10.2196/18060 · Cited by 15
The effectiveness of user-focused mobile health applications in paediatric chronic disease management: A systematic review
Karataş, N., Kaya, A., & İşler, A. (2021) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2021.09.018 · Cited by 14
Face-to-face physical activity incorporated into dietary intervention for overweight/obesity in children and adolescents: a Bayesian network meta-analysis
Liang, J., Zhao, Y., Chen, Y. C., Jiang, N., Zhang, S. X., Huang, S., Kakaer, A., & Chen, Y. J. (2022) · BMC Medicine · doi:10.1186/s12916-022-02462-6 · Cited by 15
“BRUSH UP”: AN INNOVATIVE TECHNOLOGICAL AID FOR PARENTS TO KEEP A CHECK OF THEIR CHILDREN’S ORAL HYGIENE BEHAVIOUR
Desai, R. V., Badrapur, N. C., Mittapalli, H., Srivastava, B. K., Eshwar, S., & Jain, V. K. (2021) · Revista Paulista de Pediatria · doi:10.1590/1984-0462/2021/39/2020085 · Cited by 14
The 4 Youth By Youth mHealth Photo Verification App for HIV Self-testing in Nigeria: Qualitative Analysis of User Experiences
Oladele, D. A., Iwelunmor, J., Gbaja-Biamila, T. A., Obiezu‐Umeh, C., Okwuzu, J. O., Nwaozuru, U., Musa, A. Z., Idigbe, I. E., Tahlil, K. M., Tang, W., et al. (2021) · JMIR Formative Research · doi:10.2196/25824 · Cited by 14
Research Priorities for the Pan-Canadian Oncology Symptom Triage and Remote Support Practice Guides: A Modified Nominal Group Consensus
Jibb, L., Stacey, D., Carley, M. E., Davis, A. L., Graham, I. D., Green, E., Jolicoeur, L. J. A., Kuziemsky, C. E., Ludwig, C., & Truant, T. L. O. (2019) · Current Oncology · doi:10.3747/co.26.4247 · Cited by 14
Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review
Lo, B., Shi, J., Hollenberg, E., Abi-Jaoudé, A., Johnson, A., & Wiljer, D. (2020) · JMIR Mental Health · doi:10.2196/15942 · Cited by 13
Exploring User Visions for Modeling mHealth Apps Toward Supporting Patient-Parent-Clinician Collaboration and Shared Decision-making When Treating Adolescent Knee Pain in General Practice: Workshop Study
Johansen, S. K., Kanstrup, A. M., Haseli, K., Stenmo, V. H., Thomsen, J. L., & Rathleff, M. S. (2023) · JMIR Human Factors · doi:10.2196/44462 · Cited by 13
Digital health interventions to treat overweight and obesity in children and adolescents: An umbrella review
Flølo, T. N., Tørris, C., Riiser, K., Almendingen, K., Chew, H. S. J., Fosså, A., Früh, E. A., Hennessy, E., Leung, M. M., Misvær, N., et al. (2025) · Obesity Reviews · doi:10.1111/obr.13905 · Cited by 13
Feasibility Testing of Tubes@HOME: A Mobile Application to Support Family-Delivered Enteral Care
Werner, N. E., Fleischman, A., Warner, G., Barton, H. J., Kelly, M. M., Ehlenbach, M. L., Wagner, T., Finesilver, S., Katz, B. J., Howell, K. D., et al. (2022) · Hospital Pediatrics · doi:10.1542/hpeds.2022-006532 · Cited by 13
Critical user-configurations in mHealth design: How mHealth-app design practices come to bias design against chronically ill children and young people as mHealth users
Bagge-Petersen, C. M., Langstrup, H., Larsen, J. E., & Frølich, A. (2022) · Digital Health · doi:10.1177/20552076221109531 · Cited by 13
Mobile application interventions to increase physical activity and their effect on kinanthropometrics, body composition and fitness variables in adolescent aged 12–16 years old: An umbrella review
Mateo‐Orcajada, A., Vaquero‐Cristóbal, R., & Abenza‐Cano, L. (2023) · Child Care Health and Development · doi:10.1111/cch.13146 · Cited by 14
Tailoring Individualized Evaluation of Pediatric Abdominal Pain Using Ecological Momentary Assessment (EMA)
Cushing, C. C., Kichline, T., Blossom, J. B., Friesen, C. A., & Schurman, J. V. (2019) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000750 · Cited by 13
Self-citation
Kindes- und Jugendalter
Lunkenheimer, F., Ebert, D. D., & Baumeister, H. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_19 · Cited by 15
Feasibility of a multiple‐component mindfulness intervention for Chinese adolescents living with overweight: A pilot randomized trial
Zhang, Q., O'Connor, D. B., & Hugh‐Jones, S. (2022) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12393 · Cited by 13
A Behavioral Family Intervention for Children With Overweight and Asthma
Fedele, D. A., Janicke, D. M., McQuaid, E. L., Abu‐Hasan, M., Baker, D., Zou, B., Netz, M., & Lawless, C. (2018) · Clinical Practice in Pediatric Psychology · doi:10.1037/cpp0000237 · Cited by 12
Self-citation
Electronic Assessment and Tracking of Pain at Home: A Prospective Study in Children With Hematologic or Solid Tumors
Tiozzo, E., Fondi, S., Biagioli, V., Piccinelli, E., Alibrandi, F., Gawronski, O., Dall’Oglio, I., Margarella, E., Piga, S., Ricci, R., et al. (2020) · Journal of Pediatric Oncology Nursing · doi:10.1177/1043454220975443 · Cited by 12
Strengths-Based Behavioral Intervention for Parents of Adolescents With Type 1 Diabetes Using an mHealth App (Type 1 Doing Well): Protocol for a Pilot Randomized Controlled Trial
Hilliard, M. E., Eshtehardi, S. S., Minard, C. G., Saber, R., Thompson, D. I., Karaviti, L. P., Rojas, Y., & Anderson, B. J. (2018) · JMIR Research Protocols · doi:10.2196/resprot.9147 · Cited by 12
A Mobile Phone App-Based Tai Chi Training in Parkinson's Disease: Protocol for a Randomized Controlled Study
Gao, S., Kaudimba, K. K., Cai, J., Tong, Y., Tian, Q., Liu, P., Liu, T., Chen, P., & Wang, R. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2020.615861 · Cited by 12
Electronic health interventions for preventing and treating negative psychological sequelae resulting from pediatric medical conditions: Systematic review
McGar, A. B., Kindler, C., & Marsac, M. (2019) · JMIR Pediatrics and Parenting · doi:10.2196/12427 · Cited by 9
‘Everyone knows everyone’: youth perceptions of relationships and sexuality education, condom access and health services in a rural town
Heslop, C. W., Burns, S. K., & Lobo, R. C. (2019) · Sex Education · doi:10.1080/14681811.2019.1566120 · Cited by 14
Potential normalization of an asthma mHealth intervention in community pharmacies: Applying a theory-based framework
Kosse, R. C., Murray, E., Bouvy, M. L., de Vries, T. W., Stevenson, F. A., & Koster, E. S. (2019) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2019.05.004 · Cited by 12
Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study
McKenna, K., Geoghegan, C., Swezey, T., Perry, B., Wood, W. A., Nido, V., Morin, S. L., Grabert, B. K., Hallinan, Z. P., & Corneli, A. L. (2020) · JMIR mhealth and uhealth · doi:10.2196/19242 · Cited by 11
Using an App to monitor postoperative pain at home in pediatric patients
Tiozzo, E., Biagioli, V., Brancaccio, M., Ricci, R., Marchetti, A., Dall’Oglio, I., Gawronski, O., Bonanni, F., Piga, S., Celesti, L., et al. (2021) · Journal of Child Health Care · doi:10.1177/1367493520919313 · Cited by 12
Directly observed therapy to promote medication adherence in adolescent heart transplant recipients
Killian, M., Clifford, S. A., Lustria, M. L. A., Skivington, G. L., & Gupta, D. (2022) · Pediatric Transplantation · doi:10.1111/petr.14288 · Cited by 12
Improving medication adherence monitoring and clinical outcomes through mHealth: A randomized controlled trial protocol in pediatric stem cell transplant
Ralph, J. E., Sezgın, E., Stanek, C. J., Landier, W., Pai, A. L. H., Gerhardt, C. A., & Skeens, M. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289987 · Cited by 10
Responsive Asthma Care for Teens (ReACT): development protocol for an adaptive mobile health intervention for adolescents with asthma
Cushing, C. C., Fedele, D. A., Patton, S. R., McQuaid, E. L., Smyth, J. M., Prabhakaran, S., Gierer, S. A., Koskela-Staples, N. C., Ortega, A., Fleming, K., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-030029 · Cited by 11
Self-citation
Mobile health application platform ‘Corrie’ personalises and empowers the heart attack recovery patient experience in the hospital and at home for an underserved heart attack survivor
Hung, G., Yang, W. E., Marvel, F. A., & Martin, S. S. (2020) · BMJ Case Reports · doi:10.1136/bcr-2019-231801 · Cited by 11
Mobile health intervention for promotion of eye health literacy
Sharma, I. P., Chaudhry, M., Sharma, D., & Kaiti, R. (2021) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000025 · Cited by 10
Assessing health behavior change and comparing remote, hybrid and in-person implementation of a school-based health promotion and coaching program for adolescents from low-income communities
Gefter, L., Morioka-Douglas, N., Srivastava, A., Jiang, C. A., Lewis, M., Sanders, L., & Rodriguez, E. (2024) · Health Education Research · doi:10.1093/her/cyae015 · Cited by 11
Youth and Provider Perspectives on Behavior-Tracking Mobile Apps: Qualitative Analysis
Armstrong, C. C., Odukoya, E. J., Sundaramurthy, K., & Darrow, S. M. (2021) · JMIR Mental Health · doi:10.2196/24482 · Cited by 12
Using Mobile Phones in Health Behaviour Change - an Exploration of Perceptions among Adolescents in Sweden
Seiterö, A., Thomas, K., Löf, M., & Müssener, U. (2021) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2021.1930561 · Cited by 10
A gamified mobile health intervention for children in day surgery care: Protocol for a randomized controlled trial
Rantala, A., Vuorinen, A., Koivisto, J., Similä, H., Helve, O., Lahdenne, P., Pikkarainen, M. A., Haljas, K., & Pölkki, T. (2021) · Nursing Open · doi:10.1002/nop2.1143 · Cited by 16
The A, B, Cs of Youth Technology Access: Promoting Effective Media Parenting
Gabrielli, J., & Tanski, S. E. (2020) · Clinical Pediatrics · doi:10.1177/0009922819901008 · Cited by 10
Preliminary Feasibility and Acceptability of the Remote Food Photography Method for Assessing Nutrition in Young Children With Type 1 Diabetes
Rose, M., Streisand, R. M., Aronow, L., Tully, C., Martin, C. K., & Mackey, E. R. (2018) · Clinical Practice in Pediatric Psychology · doi:10.1037/cpp0000240 · Cited by 9
Effectiveness of mHealth interventions targeting physical activity, sedentary behaviour, sleep or nutrition on emotional, behavioural and eating disorders in adolescents: a systematic review and meta-analysis
Baumann, H., Singh, B., Staiano, A. E., Gough, C., Ahmed, M., Fiedler, J., Timm, I., Wunsch, K., Button, A., Yin, Z., et al. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1593677 · Cited by 14
Parents’ Perspectives on the Theoretical Domains Framework Elements Needed in a Pediatric Health Behavior App: A Crowdsourced Social Validity Study
Cushing, C. C., Fedele, D. A., Brannon, E. E., & Kichline, T. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9808 · Cited by 9
Self-citation
Differences in perceptions of transition readiness between parents and teens with congenital heart disease: do parents and teens agree?
Harrison, D., Gurvitz, M. Z., Yu, S., Lowery, R., Afton, K., Yetman, A., Cramer, J. W., Rudd, N., Cohen, S. B., Gongwer, R., et al. (2021) · Cardiology in the Young · doi:10.1017/s1047951120004813 · Cited by 9
Successful telehealth transformation of a pediatric outpatient obesity teaching program due to the COVID-19 pandemic – the “Video KiCK” program
Reschke, F., Galuschka, L., Landsberg, S., Weiner, C., Guntermann, C., Sadeghian, E., Lange, K., & Danne, T. (2022) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2022-0104 · Cited by 9
Protection‐adjusted UV dose estimated for body areas: Daily self‐reported sun protection modification of wearable UV sensor dose
Robinson, J. K., Durst, D. A., Gray, E., & Kwasny, M. (2020) · Photodermatology Photoimmunology & Photomedicine · doi:10.1111/phpp.12557 · Cited by 9
Using a Systems Engineering Approach to Design an Interactive Mobile Health Application for Improving Asthma Self-management
Li, X., Wyatt, T. H., Rajashekaran, P. V., Bayless, A. K., & Odom, L. B. (2020) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000691 · Cited by 9
Associations of social media and health content use with sexual risk behaviours among adolescents in South Africa
Banougnin, B. H., Toska, E., Maughan‐Brown, B., Rudgard, W. E., Hertzog, L., Jochim, J., Armstrong, A., & Cluver, L. D. (2023) · Sexual and Reproductive Health Matters · doi:10.1080/26410397.2023.2267893 · Cited by 11
Development of an mHealth Platform for Adolescent Obesity Prevention: User-Centered Design Approach
Reis, C. I., Pernencar, C. A. D. C., Carvalho, M. C., Gaspar, P. J. S., Martinho, R., Frontini, R., Alves, R., & de Sousa, P. M. L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912568 · Cited by 8
Food Allergy Management for Adolescents Using Behavioral Incentives: A Randomized Trial
Dupuis, R., Feuerstein-Simon, R., Brown-Whitehorn, T. F., Spergel, J. M., Volpp, K. G. M., Marti, X. L., Troxel, A. B., Meisel, Z. F., Mollen, C. J., Kenney, E. L., et al. (2023) · PEDIATRICS · doi:10.1542/peds.2022-058876 · Cited by 9
Adolescents’ opinions on the use of a smartphone application as an oral health education tool: A qualitative study
Mumin, N. A., Yusof, Z. Y. M., Marhazlinda, J., & Obaidellah, U. H. B. (2022) · Digital Health · doi:10.1177/20552076221114190 · Cited by 9
Can behavior change techniques be delivered via short text messages?
Doğru, O. C., Webb, T. L., & Norman, P. E. (2022) · Translational Behavioral Medicine · doi:10.1093/tbm/ibac058 · Cited by 8
Wrist-Worn devices to encourage affected upper limb movement in unilateral cerebral palsy: Participatory design workshops
Brown, R., Pearse, J. E., Nappey, T., Jackson, D., Edmonds, G., Guan, Y., & Basu, A. P. (2022) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2022.1021760 · Cited by 8
Effects of mHealth Practice Patterns on Improving Metabolic Syndrome Using the Information–Motivation–Behavioral Skills Model
Park, N.-Y., & Jang, S. (2024) · Nutrients · doi:10.3390/nu16132099 · Cited by 7
Understanding the effectiveness and design of parent-oriented mobile health interventions: a systematic review and narrative synthesis
Kilfoy, A., Zaffino, I., McAtee, E., Panesar, P., Cleverley, K., Phạm, Q., Chu, C. H., & Jibb, L. (2025) · BMC Pediatrics · doi:10.1186/s12887-025-05656-y · Cited by 10
Assessing the effectiveness of an app-based child unintentional injury prevention intervention for caregivers of rural Chinese preschoolers: protocol for a cluster randomized controlled trial
He, J., Wang, W., Ning, P., Cheng, P., Li, J., Ming, Z., Yuan, S., Yang, L., Wu, Y., Zong, H., et al. (2021) · BMC Public Health · doi:10.1186/s12889-021-12156-y · Cited by 6
Design and evaluation of collaborative decision‐making application for patient care in the emergency department
Shams‐Vahdati, N., Vahdati, S. S., & Samad‐Soltani, T. (2024) · Health Science Reports · doi:10.1002/hsr2.1931 · Cited by 7
Enhancing medication adherence: A family-centered co-designed mHealth app for children undergoing hematopoietic stem cell transplant
Skeens, M. A., Kochashvili, M., Benhayoun, A., Ralph, J. E., Bajwa, R. P. S., Vannatta, K. A., Gerhardt, C. A., & Sezgın, E. (2024) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2024.10.009 · Cited by 8
Participatory Design of a Mobile App to Safeguard Mental Resilience in the Context of Drug Use in Young Adults: Multi-Method Study
Ben-Yehuda, O., Dreazen, E., Koren, D., & Mor Peleg, B. (2021) · JMIR Formative Research · doi:10.2196/34477 · Cited by 7
Mobile Applications and Healthy Habits of Adolescents, a Strange Couple: Pilot Study of the Efficacy of the Healthy Jeart App
Merino-Godoy, M.-D.-L.-Á., Yot‐Domínguez, C., Moreno, P. V., & Sánchez, E. M. (2022) · Sustainability · doi:10.3390/su14095249 · Cited by 7
Measurement of adherence to inhaled corticosteroids by self-report and electronic medication monitoring
Sun, Y., Jariwala, S. P., & Reznik, M. (2022) · Journal of Asthma · doi:10.1080/02770903.2022.2144352 · Cited by 8
Usability Testing an mHealth Program with Tailored Motivational Messages for Early Adolescents
Lin, C. A., Vosburgh, K. L., Roy, D., & Duffy, V. B. (2023) · Nutrients · doi:10.3390/nu15030574 · Cited by 7
Living Ambivalently with Chronic Illness
Bagge-Petersen, C. M. (2023) · Medical Anthropology · doi:10.1080/01459740.2023.2174023 · Cited by 7
Using a Design Thinking Approach to Develop a Social Media–Based Parenting Program for Parents of Children With Attention-Deficit/Hyperactivity Disorder: Mixed Methods Study
Yamubon, U., & Thongseiratch, T. (2023) · JMIR Pediatrics and Parenting · doi:10.2196/48201 · Cited by 7
mHealth Apps Use and Their Associations With Healthcare Decision-Making and Health Communication Among Informal Caregivers: Evidence From the National Cancer Institute’s Health Information National Trends Survey
Mahmood, A., Kim, H., Chang, C. F., Kedia, S., Arshad, H., & Dillon, P. (2023) · American Journal of Health Promotion · doi:10.1177/08901171231202861 · Cited by 9
The importance of trusting conditions for organizations’ readiness to implement mHealth to support healthy lifestyle behaviors: An interview study within Swedish child and school healthcare
Fagerström, M., Löf, M., Müssener, U., & Thomas, K. (2023) · Digital Health · doi:10.1177/20552076231181476 · Cited by 7
Development of the iManage SCD mobile health application for transition
Steinway, C. M., Shilly, S., Belton, T. D., Smith‐Whitley, K., Jan, S., Schwartz, L. A., & Crosby, L. E. (2024) · Health Care Transitions · doi:10.1016/j.hctj.2024.100074 · Cited by 6
Caring electronically for young outpatients who have epilepsy
Oppenheimer, J. E., Leviton, A., Chiujdea, M., Antonetty, A., Ojo, O. W., Garcia, S. M., Weas, S., Fleegler, E. W., Chan, E., & Loddenkemper, T. (2018) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2018.06.018 · Cited by 5
Assessing Feasibility of an Early Childhood Intervention Using Mobile Phones Among Low-Income Mothers of Newborns: Qualitative Interview Study
Zhang, D. “., Jin, L., Liang, D., Geng, R., Liu, Y., Ling, Y., Jiang, F., & Zhang, Y. (2020) · JMIR Formative Research · doi:10.2196/17179 · Cited by 7
Applications mobiles pour soutenir la santé mentale des jeunes : opportunités et défis
Ouellet‐Morin, I., Robitaille, M.-P., & Juster, R. (2021) · Santé mentale au Québec · doi:10.7202/1081508ar · Cited by 6
Study protocol: a pragmatic trial reviewing the effectiveness of the TransitionMate mobile application in supporting self-management and transition to adult healthcare services for young people with chronic illnesses
Yeung, J., Pérez, Y. I. V., Samarasinghe, S. C., Forsyth, V., Agarwalla, V., & Steinbeck, K. S. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08536-8 · Cited by 6
Caregivers’ Experiences With a Web- and Mobile-Based Platform for Children With Medical Complexity and the Role of a Live Platform Coach: Thematic Analysis
Shouldice, A. C., Beatty, M., Adams, S. L., Dharmaraj, B. G., Moore, C., Stinson, J., Desai, A. D., Bartlett, L., Culbert, E., Cohen, E., et al. (2023) · JMIR Pediatrics and Parenting · doi:10.2196/43214 · Cited by 6
Exploring the use of a digital therapeutic intervention to support the pediatric cardiac care journey: Qualitative study on clinician perspectives
Wali, S., Tharani, A. R., Balmer‐Minnes, D., Cafazzo, J. A., Laks, J. A., & Jeewa, A. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000371 · Cited by 6
Pre-implementation determinants for digital mental health integration in Chicago pediatric primary care
Stiles‐Shields, C., Gustafson, E. L., Lim, P. S., Bobadilla, G., Thorpe, D., Williams, F. S., Donenberg, G. R., Julion, W. A., & Karnik, N. S. (2024) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsae058 · Cited by 7

Authors: Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M., & Ortega, A.
Affiliations: University of Florida Health (US)
University of Kansas (US)
Corresponding author: Fedele, David A.
ORCID: Fedele, David A.
Cushing, Christopher C.
Amaro, Christina M.
Ortega, Adrian
Venue: JAMA Pediatrics
Publisher: American Medical Association (AMA)
Published: 2017-05-01
Volume: 171
Issue: 5
Pages: 461
ISSN: 1072-4710 (ISSN-L)
2168-6203
DOI: 10.1001/jamapediatrics.2017.0042
PMC: PMC6037338
OpenAlex: W2601896593
Cited by: 316
References: 56
Citations by year: 2026: 19 · 2025: 28 · 2024: 24 · 2023: 29 · 2022: 48 · 2021: 58 · 2020: 38 · 2019: 31 · 2018: 34 · 2017: 6
FWCI: 48.32
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Archives of Pediatrics and Adolescent Medicine (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords: mobile health intervention, mobile health, youth health, health behavior change, disease control, adolescents, children, caregivers, telemedicine, eHealth apps, intervention effectiveness, effect size, child health promotion, disease prevention, health disparities, healthcare workers
MeSH terms: Adolescent, Child, Female, Health Promotion, Humans, Infant, Male, Health Behavior, Telemedicine, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

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

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks