At-Home ADHD Testing Across Georgia
FDA Cleared, Objective, Computerized ADHD Testing & Treatment
From the Comfort of Your Home
The Process
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Get a Personalized Plan
Your expert clinician will review your results with you in detail, explain what they mean, and create a personalized treatment plan based on those results that may include medication, therapy strategies, accommodations, and follow-up care. Follow-up testing may be used to assess results.
QbCheck ADHD Neuropsychological Testing
What it’s clinically proven to do
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Objective measurement of hyperactivity, inattention, and impulsivity in a single assessment (3)
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Increased diagnostic accuracy when combined with clinical interviews and rating scales (6)
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Reduction in time to diagnosis and improved clinician confidence in decision-making (11)
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Ability to detect treatment response within hours of pharmacological intervention (4)
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Sensitivity to long-term symptom changes across different patient populations and treatments (8)
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Comparable validity and reliability in virtual and in-clinic settings (18)
How it works:
The Virtual ADHD tests, QbCheck and QbTest, involve motion tracking systems and computerized tasks that require continuous attention and impulse control. As a result, you are provided with data on core ADHD symptoms of hyperactivity, impulsivity, and inattention.
Who is it For:
ADHD testing may be helpful for children, teens, or adults who struggle with focus, distractibility, procrastination, impulsivity, forgetfulness, organization, or completing tasks. It can also be useful when symptoms overlap with anxiety, depression, sleep problems, or learning challenges and a clearer diagnosis is needed.
Our evaluation process is designed for individuals and families who want more than guesswork — they want clear answers, clinical guidance, and a personalized treatment plan.
The technology can be used in children (6–12 years) and adolescents and adults (12–60 years). The computerized tasks differ in cognitive demand between the child version (go/no-go paradigm) and the adolescent/adult version (unconditional identical pair paradigm).
For the science nerds...
Over 50 clinical studies using Qb testing, standardized approach to objective ADHD assessment,
have been published. A majority of these are peer-reviewed independent publications.
Diagnostic accuracy and support
A randomized controlled study (Hollis et al., 2018) showed that clinicians with access to QbTest results were 44% more likely to make a diagnostic decision within a 6-month period. At 6 months, 76% of patients had received a diagnosis compared to 60% of the control group.
QbTest reduced appointment length by 15%, and clinicians were twice as likely to exclude a diagnosis of ADHD. They reported being more confident in their diagnostic decision, without compromising diagnostic accuracy.
QbTest had a stand-alone accuracy of 79% in adults and 78% in children. This accuracy increased to 89.5% in adults and 86.7% in children when combined with subjective measures. (Emser et al., 2018).
Validity and reliability
A composite measure based on hyperactivity, inattention, and impulsivity yielded 86% sensitivity and 83% specificity (Edebol et al., 2013a).
QbCheck demonstrated good test–retest reliability, good diagnostic validity, and equivalence to QbTest in total symptom scoring (Ulberstad et al., 2020).
A high test–retest reliability of QbTest has been found after medication treatment intervention (Löhman et al., 2023).
Treatment response and monitoring
QbCheck demonstrated significant improvement in symptom measures following treatment, including a reduction in total symptom score by 42% (Sanyal et al., 2024).
QbTest can distinguish medication treatment effect within hours of pharmacological titration and can also be used as an aid for evaluation of long term-term treatment (>1 year) of ADHD (Gustafsson and Hansen 2023b)
QbTest was able to identify symptom level reduction across dose levels, including cases where subjective rating scales did not detect improvement (Edebol et al., 2013b).
Broader clinical insights
QbTest has been shown to differentiate ADHD from normative individuals and from other clinical groups, including Bipolar II disorder, borderline personality disorder, and autism spectrum disorder (Edebol et al., 2012; Groom et al., 2016).
Improvements in QbTest scores have been correlated with improvements in quality of life and daily functioning (Martin-Key et al., 2022).
QbTest as part of the diagnostic workup for attention deficit hyperactivity disorder in children (age < 18 years), when used in combination with clinical assessment, may be cost-effective (Tomlinson et al., 2025).
Learn more at https://www.qbtech.com/qb-testing-clinical-documentation/
References and sources
1. Bijlenga, D., Ulberstad, F., Thorell, L. B., Christiansen, H., Hirsch, O., & Kooij, J. J. S. (2019). Objective assessment of attention-deficit/hyperactivity disorder in older adults compared with controls using the QbTest. International Journal of Geriatric Psychiatry, 34(10), 1526–1533. https://doi.org/10.1002/gps.5163
2. Edebol, H., Helldin, L., & Norlander, T. (2012). Objective Measures of Behavior Manifestations in Adult ADHD and Differentiation from Participants with Bipolar II Disorder, Borderline Personality Disorder, Participants with Disconfirmed ADHD as Well as Normative Participants. Clinical Practice and Epidemiology in Mental Health: CP & EMH, 8, 134–143. https://doi.org/10.2174/1745017901208010134
3. Edebol, H., Helldin, L., & Norlander, T. (2013a). Measuring adult Attention Deficit Hyperactivity Disorder using the Quantified Behavior Test Plus. PsyCh Journal, 2(1), 48–62. https://doi.org/10.1002/pchj.17
4. Edebol, H., Helldin, L., & Norlander, T. (2013b). The weighed core symptom scale and prediction of ADHD in adults—Objective measures of remission and response to treatment with methylphenidate. Clinical Practice and Epidemiology in Mental Health: CP & EMH, 9, 171–179 https://doi.org/10.2174/1745017901309010171
5. Emser, T. S., Johnston, B. A., Steele, J. D., Kooij, S., Thorell, L., & Christiansen, H. (2018). Assessing ADHD symptoms in children and adults: Evaluating the role of objective measures. Behavioral and Brain Functions: BBF, 14(1), 11. https://doi.org/10.1186/s12993-018-0143-x
6. Groom, M. J., Young, Z., Hall, C. L., Gillott, A., & Hollis, C. (2016). The incremental validity of a computerised assessment added to clinical rating scales to differentiate adult ADHD from autism spectrum disorder. Psychiatry Research, 243, 168–173. https://doi.org/10.1016/j.psychres.2016.06.042
7. Gustafsson, U., & Hansen, M. (2023a). QbTest in the clinical assessment of attention deficit hyperactivity disorder: A review of the evidence. Mental Health Science. https://doi.org/10.1002/mhs2.43
8. Gustafsson, U., & Hansen, M. (2023b). QbTest for Monitoring Medication Treatment Response in ADHD: A Systematic Review. Clinical Practice and Epidemiology in Mental Health, 19(1). https://doi.org/10.2174/0117450179276630231030093814
9. Gustafsson, U., Larsson, S., Casals, N., Nolen, R., Sanyal, R. Y., & Hansen, M. (2025). Objective assessment of attention deficit hyperactivity disorder with QbMobile: A smartphone application for clinical use. Clinical Practice & Epidemiology in Mental Health, 21, e17450179444324. https://doi.org/10.2174/0117450179444324251118134538
10. Hall, S. S., McKenzie, C., Thomson, L., Ingall, B.-R., Groom, M. J., McGlennon, N., Dines-Allen, M., & Hall, C. L. (2024). A national evaluation of QbTest to support ADHD assessment: A real-world, mixed methods approach. BMC Health Services Research, 24(1), 1201.https://doi.org/10.1186/s12913-024-11693-7
11. Hollis, C., Hall, C. L., Guo, B., James, M., Boadu, J., Groom, M. J., Brown, N., Kaylor-Hughes, C., Moldavsky, M., Valentine, A. Z., Walker, G. M., Daley, D., Sayal, K., Morriss, R., & the AQUA Trial Group. (2018). The impact of a computerised test of attention and activity (QbTest) on diagnostic decision-making in children and young people with suspected attention deficit hyperactivity disorder: Single-blind randomised controlled trial. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 59(12), 1298–1308. https://doi.org/10.1111/jcpp.12921
12. Löhman, M., Domingo, B., Östlund, M., & Jansson, L. (2023). Contrasting expectancy effects with objective measures in adults with untreated ADHD during QBTEST. Scandinavian Journal of Psychology, sjop.12906. https://doi.org/10.1111/sjop.12906
13. Martin-Key, N. A., Stevenson, A., & Roy, P. (2022). Investigating the Clinical Utility of the Combined Use of Objective and Subjective Measures of ADHD During Treatment Optimization. Journal of Clinical Psychopharmacology, 42(2), 146–153. https://doi.org/10.1097/JCP.0000000000001350
14. Nolen, R., Sanyal, R., Larsson, S., Casals, N., Murdoch, T., Whelan, R., Hansen, M., & Anderton, P. (2025). Objective ADHD improvements align with patient-reported outcomes following remote treatment pathway. Qbtech. https://www.qbtech.com/blog/remote-objective-adhd-assessment-to-measure-quality_of_life_outcomes-2
15. Pellegrini, S., Murphy, M., & Lovett, E. (2020). The QbTest for ADHD assessment: Impact and implementation in Child and Adolescent Mental Health Services. Children and Youth Services Review, 114, 105032. https://doi.org/10.1016/j.childyouth.2020.105032
16. Sanyal, R., Nolen, R., Gustafsson, U., & Hansen, M. (2024). Utilizing Remote Objective ADHD Testing to Monitor Symptom Improvement Following Medication Treatment. International Journal of Psychiatry Research, 7(3). https://doi.org/10.33425/2641-4317.1195
17. Tomlinson, E., Ward, M., Walker, J., Benevente, M., Wang, H., Cooper, C., Jones, H. E., Owen-Smith, A., Lopez Manzano, C., James, S., Hank, D., Welton, N. J., & Whiting, P. (2025). Clinical and cost-effectiveness of technologies for the assessment of attention deficit hyperactivity disorder: A systematic review and economic model. Health Technology Assessment, 1–216. https://doi.org/10.3310/DRDR7171
18. Ulberstad, F., Boström, H., Chavanon, M.-L., Knollmann, M., Wiley, J., Christiansen, H., & Thorell, L. B. (2020). Objective measurement of attention deficit hyperactivity disorder symptoms outside the clinic using the QbCheck: Reliability and validity. International Journal of Methods in Psychiatric Research, 29(2), e1822. https://doi.org/10.1002/mpr.1822
19. Williams, L., Hall, C. L., Brown, S., Guo, B., James, M., Franceschini, M., Clarke, J., Selby, K., Vijayan, H., Kulkarni, N., Brown, N., Sayal, K., Hollis, C., & Groom, M. J. (2021). Optimising medication management in children and young people with ADHD using a computerised test (QbTest): A feasibility randomised controlled trial. Pilot and Feasibility Studies, 7(1), 68. https://doi.org/10.1186/s40814-021-00788-1