Digital health interventions with healthcare information and self-management resources for young people with ADHD: a mixed-methods systematic review and narrative synthesis
- Open Access
- 01.03.2025
- Review
Abstract
Introduction
Background
Digital health interventions
Clinical relevance and significance
Aims of the current review
-
Identify and assess the quality of research evidence on the feasibility, usability, and/or effectiveness of DHIs suitable for use by young people with ADHD, to help them access healthcare, and support self-management of their condition.
-
Identify and assess evidence on the potential usability of identified DHIs in a UK-based primary care setting.
Methods
Eligibility criteria
Population
Intervention
Outcomes and comparators
Additional criteria
Key criteria | Additional notes |
|---|---|
Young people (aged 16 to 25 years) (Population) | Include studies where it is reasonable to assume (considering the mean age and standard deviation) that at least one of the participants is within the target age range (16–25 years). Include studies where a young person and supporter are both included in sample. Exclude studies where supporter alone is included in the sample. |
Study focussed on people with ADHD (Population) | |
Digital health interventions (DHIs) (Intervention) | Digital health interventions defined as: • Health apps or software • Interactive tools (including websites where interactive elements are present) • Automated SMS or digital messaging • Exclude if SMS or digital messaging is not automated or requires clinician/administrator engagement beyond what would be deliverable in the context of UK primary healthcare |
DHIs for people with ADHD with: • Relevant healthcare information (e.g. care pathways/information/anecdotes about ADHD) • Support management and self-management (e.g. meds reminders, psychoeducation, support accessing services) (Intervention) | Include neuro/bio-feedback interventions only if the desired outcome is related to management or self-management (for example, exclude if neurofeedback is for memory training only) Exclude if educational or classroom aids are designed with educational attainment outcomes in mind Exclude if diagnostic or screening assessment tools |
Any measure of effectiveness, acceptability, usability, or participant engagement with or experiences of the DHI (Outcome) | |
Peer-reviewed, primary research, English language (Study features) | Exclude systematic reviews, commentaries, letters to editor (non-exhaustive) |
Search strategy
Study selection
Data extraction & synthesis
Study quality
Results
Description of study selection and included studies
Author (year, country)– Intervention name* | Study type (pilot, feasibility, etc.) | Sample size | Age range in years (mean age (SD)) | % Female | Ethnicity | Control/comparator group |
|---|---|---|---|---|---|---|
Psychoeducation** | ||||||
Kenter (2023, Norway)– MyADHD (37) | RCT– parallel (2-arm) | 110 (Intervention = 61, Control = 59) | 20–77 (40.9 (10.6)) (Intervention = 40.1 (10.0). Control = 41.2 (11.2)) | 80 | NR | Text-based psychoeducation module |
Nordby (2022, Norway)– MyADHD (38) | Multiple randomised trial– parallel (2-arm) | 109 | 22–62 (36.1 (9.1)) | 80.7 | NR | None |
Kenter (2022, Norway)– MyADHD (39) | Usability– think-aloud & usability evaluation | 5 | 25–62 (38.4 (16.3)) | 40 | NR | None |
Flobak (2021, Norway)– MyADHD (40) | Participatory design & evaluation, | 109 | 22–62 (36.1 (9.1)) | 80.7 | NR | None |
Nasri (2023, Sweden)– iCBT (41) | RCT– parallel (3-arm) | 104 (Intervention = 26, Active control = 27, TAU = 31) | Intervention = 36.7 (11.4), Active control = 35.897 (9.4), TAU = 37.2 (10.3) | 69.2 | NR | Active control = applied relaxation therapy. Inactive control = TAU |
Petterson (2017, Sweden)– InFocus (42) | RCT– parallel (3-arm) | 45 (Intervention = 13, Active control = 14, Waitlist group = 18) | Intervention = 38.92 (8.50), Active control = 39.64 (12.44), Waitlist group = 33.78 (10.07) | 54.8 | NR | Active control = internet-based CBT with weekly group sessions. Inactive control = waitlist group |
Ahlers (2022, Switzerland) -CANReduce (43) | RCT (subgroup analysis)– parallel (3-arm) | 367 (With ADHD = 94, Without ADHD = 273) | NR (27.9 (7.5)) | 28.3 | NR | Comparator group without ADHD |
Selasowski (2023, Germany)– Chatbot* (44) | RCT– parallel (2-arm) | 34 (Chatbot = 17, Control = 17) | Chatbot = 19–44 (29.6 (7.6)), Control = 20–52 (29.7 (9.5)) | 52.9 | NR | Self-guided app-based psychoeducation |
Knouse (2022, USA)– InFlow (45) | Feasibility & usability– Preliminary effect | 240 | 18–46 (29.15 (7.14)) | 69.2 | Caucasian (78.8%) African American (9.2%) Native American (4.2%) Asian/ Pacific Islander (5.8%) Other (9.6%) | None |
Jang (2021, Korea)– Tokadi (46) | Pilot (feasibility & usability)– Preliminary effect | 46 (Chatbot = 23, Control = 23) | NR (Chatbot = 26.7 (8.97), Control = 22.87 (5.44)) | 57 | NR | Paperback self-help book |
Shelton (2022, USA)– IBI* (47) | Feasibility & acceptability of concept | 235 (Minimal = 68, Full = 68, Tailored = 99) | 18–35 (27.54 (4.29)) (Minimal = 26.72 (4.48), Full = 27.75 (3.94), Tailored = 27.97 (4.36)) | 54.9 | White (76.2%) Mixed (6.8%) Black (6%) Asian (5.1%) Hispanic (3.4%) Other (2.5%) | Same intervention presented in 3 conditions (Full condition, tailored condition, minimal condition) |
Symptom monitoring** | ||||||
Surman (2022, USA)–Treatment Optimisation* (48) | Pilot (usability & utility) | 206 | NR (37.3 (13.1)) | 58.7 | Caucasian (76.7%) Asian (3.9%) Black/African American (0.5%) Multiple races (2.4%) NR (16.5%) | None |
Kennedy (2022, USA)– Ecological Momentary Assessment (49) | Preliminary effectiveness study | 90 | 13–18 (14.7 (NR)) | 34 | Caucasian (76.7%) Black/African American (13.3%) Asian (8.9%) Hispanic (3.3%) | None |
Leikauf (2019, USA)– StopWatch (50) | Pilot (feasibility)– Preliminary effect | 32 | 8–17 (11*) *Median | 47 | NR | None |
Schoenfelder (2017, USA)– FitBit Flex (51) | Pilot (feasibility)– Preliminary effect | 11 | 14–18 (15.5 (1.4)) | 54 | Caucasian (80%) Asian American (10%) Multi-racial (10%) | None |
Practical interventions** | ||||||
Biederman (2019, USA)–Medication Reminders* (52) | Preliminary effectiveness study | 552 (Intervention = 92, TAU = 460) | Intervention = NR (32.7 (9.8)) TAU = NR (31.5 (7.7)) | 39 | Intervention = Caucasian (82%) TAU = Caucasian (92%) | Treatment as usual |
Biederman (2020, USA)–Medication Reminders* (52) | Pilot (effectiveness & acceptability)– Preliminary effect in primary care setting | 448 (Intervention = 112, TAU = 336) | Intervention = NR (35.9 (10.0)) TAU = NR (33.7 (7.0)) | 55 | Intervention = Caucasian (86%) TAU = Caucasian (86%) | Treatment as usual |
Healthcare and self-management information** | ||||||
Wright (2023, USA)– IUEVO (53) | Development (co-design) | 11 (participants with ADHD = 5) | 11–17 (NR (NR)) | 63.63 | White (81.81%) Black/African American (18.18%) Hispanic/Latino (9.09%) | None |
Luiu (2018, Switzerland)– Luiu* (54) | Feasibility– qualitative evaluation | 6 | 20–55 (NR (NR)) | NR | NR | NR |
Study design
Participants
Quality of included studies
Narrative synthesis
-
Psychoeducation for people with ADHD involves delivering a validated therapeutic manual (E.g., Cognitive Behavioural Therapy) which may be adapted for ADHD [64, 65]. It includes information and empowering training for patients to promote awareness, and provides tools to manage, cope and live with ADHD, and promote behaviour change.
-
Symptom monitoring interventions involve collecting data through self-reports or devices such as smartwatches to track patients’ symptoms, often providing patients with visual summaries of the data.
-
Practical interventions vary in their nature but generally facilitate self-management strategies by providing stand-alone templates, prompts or activities which may help to alleviate levels of impairment.
-
Finally, healthcare & self-management information is the least intensive intervention type, and generally provides information about ADHD, healthcare, self-management strategies and signposting to other resources, provide tools, or encourage behaviour change without following therapeutic manuals.