PreprintCited by 88Mobile Health and mHealth ApplicationsAdolescent and Pediatric HealthcareDigital Mental Health Interventions

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

Open access
Virella Pérez, Yisselle Ilene, Medlow, Sharon, Ho, Jane, Steinbeck, Katharine·2019·Journal of Medical Internet Research

Preprint — published as 10.2196/13579

Abstract

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.

Integrity signals

Registry

Crossref · 10.2196/preprints.13579

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • mHealth apps-medical apps in particular-offer the possibility to improve general health care issues and, more specifically, issues related to type 1 and type 2 diabetes mellitus.

    “Therefore, mHealth apps—medical apps in particular—offer the possibility to improve general health care issues and, more specifically, issues related to type 1 (T1DM) and type 2 (T2DM) diabetes mellitus [3,16-18].”

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 41 · Cited by 88

Authors
Virella Pérez, Y. I., Medlow, S., Ho, J., & Steinbeck, K.
Affiliations
  • The University of Sydney (AU)
  • Sydney Children's Hospital (AU)
Venue
Journal of Medical Internet Research
Published
2019-02-01
Volume
21
Issue
11
Pages
e13579-e13579
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2955007736
Cited by
88
References
41
Citations by year
2026: 4 · 2025: 18 · 2024: 10 · 2023: 20 · 2022: 12 · 2021: 14 · 2020: 10
FWCI
1.65
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Speech and Hearing › Adolescent and Pediatric Healthcare
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
mobile health apps, self-management, transition to adult care, adolescents with chronic illness, type 1 diabetes, epilepsy, asthma, beta-thalassemia major, sickle cell disease, medication adherence, patient knowledge, participant satisfaction, application effectiveness, digital health interventions, health literacy
MeSH terms
Self-Management, Adult, Chronic Disease, Humans, Prospective Studies, Young Adult, Mobile Applications

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