An Analysis of the Impact of Digital Therapeutic Interventions on Attention and Working Memory in Children with Attention-Deficit/Hyperactivity Disorder: A Randomized Controlled Trial
Source abstract
Abstract
Previous research has investigated non-pharmacological digital therapeutic interventions to improve compliance and reduce side effects in attention-deficit/hyperactivity disorder (ADHD) medication treatments for children. This study focuses on validating the effects of game-based intervention content for enhancing working memory and concentration. It tracks quantitative changes to evaluate improvements in concentration and working memory when digital game-based content is used as adjunct therapy alongside medication for children with ADHD. Thirty children participated; one group received digital therapeutic intervention based on game content alongside medication (experimental) and the other group received conventional treatments (control). The study results show that children with ADHD in the experimental group, who use digital game-based content, exhibit a reduction of 8.13 ± 6.71 points in the K-ARS total score at the fourth week compared to baseline, while the control group shows a reduction of 7.14 ± 8.73 points. Inattention decreases by 36.84% in the experimental group and 28.56% in the control group, while hyperactivity–impulsivity decreases by 50.71% in the experimental group and 34.00% in the control group. All the results are analyzed using a paired t-test between baseline and the fourth week. Significant decreases in the K-CBCL total problem behavior score and internalizing and externalizing behaviors are consistently observed at 28 days compared with baseline. The FAIR attention–concentration test results show significant differences between the experimental and control groups in the Q-percentile and Q-standard scores, with repeated measures ANOVA results showing p = 0.006 and p = 0.007, respectively. Digital content was shown to influence digital therapeutic intervention—a non-pharmacological treatment for ADHD.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Attention Deficit Hyperactivity Disorder · Children's Physical and Motor Development
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedical Engineering, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Daegu 42601, Republic of Korea
Department of Psychiatry, School of Medicine, Keimyung University, Daegu 42601, Republic of Korea
Funding
Daegu Digital Innovation Promotion Agency (DIP)
References (41)
Show source-provided references
1. Luo, Y., Weibman, D., Halperin, J.M., and Li, X. (2019). A review of heterogeneity in attention deficit/hyperactivity disorder (ADHD). Front. Hum. Neurosci., 13.10.3389/fnhum.2019.00042 ↗
2. Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 201610.1080/15374416.2017.1417860 ↗
3. Davidovitch, M., Koren, G., Fund, N., Shrem, M., and Porath, A. (2017). Challenges in defining the rates of ADHD diagnosis and treatment: Trends over the last decade. BMC Pediatr., 17.10.1186/s12887-017-0971-0 ↗
4. Adult attention-deficit/hyperactivity disorder diagnosis, management, and treatment in the DSM-5 era
5. Núñez-Jaramillo, L., Herrera-Solís, A., and Herrera-Morales, W.V. (2021). ADHD: Reviewing the causes and evaluating solutions. J. Pers. Med., 11.10.3390/jpm11030166 ↗
6. Heterogeneity in ADHD: Neurocognitive predictors of peer, family, and academic functioning10.1080/09297049.2016.1205010 ↗
7. Leisman, G., and Melillo, R. (2022). Front and center: Maturational dysregulation of frontal lobe functional neuroanatomic connections in attention deficit hyperactivity disorder. Front. Neuroanat., 16.10.3389/fnana.2022.936025 ↗
8. Areces, D., García, T., Cueli, M., and Rodríguez, C. (2019). Is a virtual reality test able to predict current and retrospective ADHD symptoms in adulthood and adolescence?. Brain Sci., 9.10.3390/brainsci9100274 ↗
9. Long-term outcomes of ADHD: A systematic review of self-esteem and social function10.1177/1087054713486516 ↗
10. A literature review and meta-analysis on the effects of ADHD medications on functional outcomes10.1016/j.jpsychires.2020.01.006 ↗
11. Headache in ADHD as comorbidity and a side effect of medications: A systematic review and meta-analysis10.1017/S0033291721004141 ↗
12. Depression, anxiety and other cognitive consequences of social isolation: Drug and non-drug treatments
13. The effect of mobile neurofeedback training in children with attention deficit hyperactivity disorder: A randomized controlled trial10.9758/cpn.23.1054 ↗
14. Choi, E., Yoon, E.H., and Park, M.H. (2022). Game-based digital therapeutics for children and adolescents: Their therapeutic effects on mental health problems, the sustainability of the therapeutic effects and the transfer of cognitive functions. Front. Psychiatry, 13.10.3389/fpsyt.2022.986687 ↗
15. Effectiveness of neurofeedback with selected training program on motor function, anxiety, and sleep habits in children with attention deficit/hyperactivity disorder (ADHD)
16. Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD10.1038/s41746-021-00429-0 ↗
17. Randomized controlled trial of a dichoptic digital therapeutic for amblyopia10.1016/j.ophtha.2021.09.001 ↗
18. Gallen, C.L., Anguera, J.A., Gerdes, M.R., Simon, A.J., Cañadas, E., and Marco, E.J. (2021). Enhancing neural markers of attention in children with ADHD using a digital therapeutic. PLoS ONE, 16.10.1371/journal.pone.0261981 ↗
19. Neurocognitive and psychosocial profiles of children with Turner syndrome10.6065/apem.2244222.111 ↗
20. Normative data on the Korean ADHD Rating Scales (K-ARS) for parents and teacher
21. Attention-Deficit/Hyperactivity Disorder symptom characteristics in Korean elementary school children: Comparison with US population10.30773/pi.2019.03.26 ↗
22. The reliability and validity of Korean parent and teacher ADHD rating scale
23. Early predictors of ADHD: Evidence from a prospective birth cohort10.1177/1087054717696765 ↗
24. Rasch analysis of the Korean-Child Behavior Checklist (K-CBCL) to assess emotional and behavioral problems in children with autism spectrum disorder10.1177/21582440211040790 ↗
25. The validities and efficiencies of Korean ADHD Rating Scale and Korean Child Behavior Checklist for screening children with ADHD in the community10.4306/pi.2014.11.3.258 ↗
26. The effects of exergaming on attention in children with attention deficit/hyperactivity disorder: Randomized controlled trial10.2196/40438 ↗
27. Stressinduzierte Herabsetzung der Aufmerksamkeit bei Jungen Erwachsenen mit ADHS-ähnlicher Symptomatik10.1026/1616-3443/a000046 ↗
28. Dynamics of contractile function of the left atrium in patients, suffering ischemic mitral regurgitation
29. Analysis of covariance (ANCOVA) vs. moderated regression (MODREG): Why the interaction matters
30. Eltorai, A.E.M., Bakal, J.A., Kim, D.W., and Wazer, D.E. (2023). Continuous variable analyses: T-test, Mann–Whitney, Wilcoxin rank. Translational Radiation Oncology, Academic Press.
31. A comparison of apremilast monotherapy and combination therapy for plaque psoriasis in clinical practice: A Canadian multicenter retrospective study10.1016/j.jaad.2017.09.060 ↗
32. Application of student’s t-test, analysis of variance, and covariance10.4103/aca.ACA_94_19 ↗
33. Data distribution: Normal or abnormal?10.3346/jkms.2024.39.e35 ↗
34. Statistical tests for homogeneity of variance for clinical trials and recommendations10.1016/j.conctc.2023.101119 ↗
35. Zhou, H., Yu, K.-M., Lee, M.-G., and Han, C.-C. (2018, January 5–8). The application of last observation carried forward method for missing data estimation in the context of industrial wireless sensor networks. Proceedings of the IEEE Asia and the Pacific Conference on Antennas and Propagation (APCAP), Auckland, New Zealand.10.1109/APCAP.2018.8538147 ↗
36. From Consensus Statement to pills to pixels: New innovations in attention-deficit/hyperactivity disorder care10.1089/cap.2024.0022 ↗
37. Measuring impairment when diagnosing adolescent ADHD: Differentiating problems due to ADHD versus other sources10.1016/j.psychres.2018.03.083 ↗
38. A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): A randomised controlled trial10.1016/S2589-7500(20)30017-0 ↗
39. Davis, N.O., Bower, J., and Kollins, S.H. (2018). Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD. PLoS ONE, 13.10.1371/journal.pone.0189749 ↗
40. Camp, A., Pastrano, A., Gomez, V., Stephenson, K., Delatte, W., Perez, B., Syas, H., and Guiseppi-Elie, A. (2021). Understanding ADHD: Toward an innovative therapeutic intervention. Bioengineering, 8.10.3390/bioengineering8050056 ↗
41. He, F., Qi, Y., Zhou, Y., Cao, A., Yue, X., Fang, S., and Zheng, Y. (2023). Meta-analysis of the efficacy of digital therapies in children with attention-deficit hyperactivity disorder. Front. Psychiatry, 14.10.3389/fpsyt.2023.1054831 ↗