ArticleJMIR mHealth and uHealth2016
Developing mHealth Remote Monitoring Technology for Attention Deficit Hyperactivity Disorder: A Qualitative Study Eliciting User Priorities and Needs.
Article in JMIR mHealth and uHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Practitioner Review: It's time to bridge the gap - understanding the unmet needs of consumers with attention-deficit/hyperactivity disorder - a systematic review and recommendations.Journal of child psychology and psychiatry, and allied disciplines · 2023Pooled it
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Smartphone-Based Interventions and Internalizing Disorders in Youth: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Patients' Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies.JMIR mHealth and uHealth · 2019Pooled it
- End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review.Journal of medical Internet research · 2017Pooled it
- Influence of the intelligent knee osteoarthritis lifestyle app (iKOALA) on knee joint pain.BMC musculoskeletal disorders · 2024Trial
- Users' Experiences of a Mobile Health Self-Management Approach for the Treatment of Cystic Fibrosis: Mixed Methods Study.JMIR mHealth and uHealth · 2020Trial
- Trial
- Study of user experience of an objective test (QbTest) to aid ADHD assessment and medication management: a multi-methods approach.BMC psychiatry · 2017Trial
- Article
- Exploring the use of smartphone monitoring for young adults with Tuberous Sclerosis Complex (TSC): a qualitative analysis.Orphanet journal of rare diseases · 2026Article
- Digital health technologies for adults with ADHD: a scoping review.Frontiers in digital health · 2026Review
- Collecting Feedback From Neurologists and Patients to Guide Development of a Parkinson Disease App (DigiPark): Qualitative, Noninterventional Study.JMIR human factors · 2024Article
- Developing a Mood and Menstrual Tracking App for People With Premenstrual Dysphoric Disorder: User-Centered Design Study.JMIR formative research · 2024Article
- Improving the Acceptability and Implementation of Information and Communication Technology-Based Health Care Platforms for Older People With Dementia or Parkinson Disease: Qualitative Study Results of Key Stakeholders.JMIR formative research · 2024Article
- Barriers to and Facilitators of Using Remote Measurement Technology in the Long-Term Monitoring of Individuals With ADHD: Interview Study.JMIR formative research · 2023Article
- Article
- What adults with ADHD want to know: A Delphi consensus study on the psychoeducational needs of experts by experience.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Article
- Children and young people's concerns and needs relating to their use of health technology to self-manage long-term conditions: a scoping review.Archives of disease in childhood · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGuidelines in the United Kingdom recommend that medication titration for attention deficit hyperactivity disorder (ADHD) should be completed within 4-6 weeks and include regular reviews. However, most clinicians think that weekly clinic contact is infeasible, and audits have shown that this timeline is rarely achieved. Thus, a more effective monitoring and review system is needed; remote monitoring technology (RMT) may be one way to improve current practice. However, little is known about whether patients with ADHD, their families, and clinicians would be interested in using RMT.
objectiveTo explore patients', parents', and health care professionals' views and attitudes toward using digital technology for remote monitoring during titration for ADHD.
methodsThis was a qualitative study, and data were collected through 11 focus groups with adults and young people with ADHD, parents of children with ADHD, and health care professionals (N=59).
resultsAll participant groups were positive about using RMT in the treatment of ADHD, but they were also aware of barriers to its use, especially around access to technology and integrating RMT into clinical care. They identified that RMT had the most potential for use in the ongoing management and support of ADHD, rather than during the distinct titration period. Participants identified features of RMT that could improve the quality of consultations and support greater self-management.
conclusionsRMT has the potential to augment support and care for ADHD, but it needs to go beyond the titration period and offer more to patients and families than monitoring through outcome measures. Developing and evaluating an mHealth app that incorporates the key features identified by end users is required.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.