Evidence map›Paper›PMID 37988139›Full record

ReviewJMIR mental health2023

Effectiveness of Technology-Based Interventions for School-Age Children With Attention-Deficit/Hyperactivity Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Ka Po Wong, Jing Qin, Yao Jie Xie, Bohan Zhang

Open access · goldAbstract readReview
In one paragraph

Review in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ka Po WongDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID https://orcid.org/0000-0002-9086-3701
Jing QinSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID https://orcid.org/0000-0002-7059-0929
Yao Jie XieSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID https://orcid.org/0000-0001-9289-4985
Bohan ZhangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID https://orcid.org/0000-0002-2165-9424
Hong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttention-deficit/hyperactivity disorder (ADHD) is relatively common among school-age children. Technology-based interventions, such as computer-assisted training programs, neurofeedback training, and virtual reality, show promise in regulating the behaviors and cognitive functions of children with ADHD. An increasing number of randomized controlled trials have been conducted to evaluate the effectiveness of these technologies in improving the conditions of children with ADHD.

objectiveThis study aims to conduct a systematic review of technological interventions for school-age children with ADHD and perform a meta-analysis of the outcomes of technology-based interventions.

methodsA total of 19 randomized controlled studies involving 1843 participants were selected from a pool of 2404 articles across 7 electronic databases spanning from their inception to April 2022. ADHD behaviors, cognitive functions, learning ability, and quality of life were addressed in this study.

resultsRandom effects meta-analyses found that children with ADHD receiving technology-based intervention showed small and significant effect sizes in computer-rated inattention (standardized mean difference [SMD] -0.35; P<.04), parent-rated overall executive function measured by the Behavior Rating Inventory of Executive Function (SMD -0.35; P<.04), parent-rated disruptive behavior disorder measured by the Child Behavior Checklist (SMD -0.50; P<.001) and Disruptive Behavior Disorder Rating Scale (SMD -0.31; P<.02), and computer-rated visual attention measured by the Continuous Performance Test (SMD -0.42; P<.001) and Reaction Time (SMD -0.43; P<.02).

conclusionsTechnology-based interventions are promising treatments for improving certain ADHD behaviors and cognitive functions among school-age children with ADHD.

trial registrationPROSPERO CRD42023446924; https://tinyurl.com/7ee5t24n.

Indexed as

ADHDattention-deficit/hyperactivity disordercognitive functionscomputer-assisted training programneurofeedback trainingschool-age childrenvirtual reality

Identifiers

PMID37988139
PMCPMC10698651
OpenAlexW4387859497

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.