DotCheck: A Five-Minute Digital Dot-Counting Validity Screen for Brief and Remote ADHD Assessments
A quick digital test for adults to check if their ADHD symptoms are consistent with a diagnosis.
A tablet- or web-delivered Dot Counting Test that auto-scores both rounded and unrounded results against newly validated adult-ADHD cut-offs (≥14 / ≥13.38) and returns an instant validity flag — a memory-free check that works even when no full neuropsychological battery is administered.
Concept
A five-minute, digitally administered Dot Counting Test (DCT) for adult ADHD evaluations. The patient views dot arrays and reports counts; the software records responses, computes both the standard (rounded) and unrounded effort scores, and compares them to the newly validated adult-ADHD cut-offs, flagging likely invalid performance at ≥14 (rounded) or ≥13.38 (unrounded). The output is a one-page report showing the score, the cut-off applied, and the operating characteristics at that cut (92% specificity, 54.3% sensitivity), plus an explicit note that the same cut-off applies regardless of ADHD subtype or comorbid psychiatric conditions and that the validation sample was ethnoracially diverse. The wedge is that this is a standalone, non-memory-based performance validity test: it can be deployed in brief and remote ADHD assessments — telehealth diagnostic services, primary care, university clinics — where no WAIS/Stroop/Trail Making battery is administered and embedded validity scoring is therefore impossible, and it is not contaminated by the genuine working-memory and processing-speed weaknesses common in ADHD.
Why now
- The new validation [0] classified 210 consecutive adult ADHD referrals as valid (n=175) or invalid (n=35) using seven independent criterion PVTs; the DCT separated the groups with 92% specificity and 54.3% sensitivity at cut-scores of ≥14 (rounded) and ≥13.38 (unrounded), with no significant performance differences by ADHD subtype or presence of comorbid psychopathology — so one cut-score serves heterogeneous, real-world referrals without case-by-case adjustment.
- Embedded validity indicators — the basis of existing automated flags — are derived from memory, working-memory, and processing-speed measures that carry documented false-positive risk in genuinely impaired ADHD patients [2], and they require a full battery to have been administered in the first place [1]. A brief, memory-free standalone test closes both gaps.
- Comorbid psychiatric disorders are prevalent in adult ADHD and complicate interpretation [6]; the DCT's demonstrated invariance to comorbidity [0] means the validity check does not have to wait until the differential diagnosis is resolved.
Written by GLM · 12 Oct 2026
AI assessment
A highly focused, evidence-backed digital tool that solves the specific problem of performance validity in brief or remote ADHD assessments where full neuropsychological batteries are absent.
- Evidence strength 5/5
- The idea is directly derived from a cross-validation study [2] providing specific cut-off scores, specificity/sensitivity metrics, and evidence of invariance across subtypes and comorbidities.
- Market pull 4/5
- Telehealth ADHD providers (e.g., Cerebral, Mentavi) have a high urgency to screen for malingering/invalidity without requiring a 4-hour in-person battery.
- Novelty & moat 4/5
- Unlike the 'Two-Fail Flag' which relies on embedded indicators from a full battery, this is a standalone, memory-free test that fills the gap for brief/remote evaluations.
- Feasibility 5/5
- The product is a simple digital implementation of a dot-counting task with a basic scoring algorithm; it requires minimal engineering to build a demoable MVP.
- Wedge clarity 5/5
- The wedge is extremely sharp: a five-minute validity screen for clinicians who do not administer a full neuropsychological battery.
- Simplicity / focus 5/5
- The idea avoids 'platform creep' and focuses on a single, discrete utility: a validity flag based on one specific test.
Scored by Gemma 4 · 12 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
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Who benefits
Publishes and distributes performance validity tests for clinicians; a digitized, ADHD-validated DCT gives its catalog a brief, non-memory PVT aimed at the fast-growing adult ADHD referral market.
- Qbtechcompany
Sells computerized objective ADHD testing (QbTest) to clinics and NHS services; bundling a five-minute validity screen lets it offer credibility checks in the same session, reinforcing its objective-assessment pitch.
- Pearson Clinical Assessmentcompany
Runs the Q-interactive digital testing platform; an auto-scored DCT module with ADHD-specific cut-offs is a low-cost add-on that lets neuropsych customers attach a validity check to any evaluation.
- Mentavi Health (ADHD Online)company
Conducts online ADHD assessments; an auto-scored validity check would strengthen the credibility of remote diagnoses with payers, regulators, and referring clinicians.
- Cerebralcompany
Telehealth provider that treats and prescribes for ADHD; documented validity screening supports clinical governance around stimulant prescribing.
Research it builds on
- The prevalence of psychiatric comorbidities in adult ADHD compared with non-ADHD populations: A systematic literature reviewWon-Seok Choi, Young Sup Woo, Sheng‐Min Wang et al. · 2022 · 211 citationsAll ideas from this paper →
- Multivariate examination of embedded indicators of performance validity for ADHD evaluations: A targeted approachJohn‐Christopher A. Finley, Julia M. Brooks, Amanda N. Nili et al. · 2023 · 43 citationsAll ideas from this paper →
- Cross-validating the Dot Counting Test Among an Adult ADHD Clinical Sample and Analyzing the Effect of ADHD Subtype and Comorbid PsychopathologyDayna A. Abramson, Daniel J. White, Tasha Rhoads et al. · 2021 · 43 citationsAll ideas from this paper →
- Identifying Factors that Increase False-Positive Rates on Embedded Performance Validity Testing in ADHD EvaluationsJohn‐Christopher A. Finley, Logan M. Tufty, Steven A. Abalos et al. · 2024 · 4 citationsAll ideas from this paper →