ADHD Diagnostic Gap Audit and Case-Finder for GP Practices
A records-based audit tool for GP practices that measures how far a practice's recorded ADHD rate falls short of expected prevalence by age and sex, then mines the practice's own data to produce a clinician-reviewed shortlist of likely missed cases to invite for assessment.
Concept
A population-health module sold to English GP practices, Primary Care Networks, and Integrated Care Boards. Step one: it computes the practice's recorded ADHD prevalence for each age and sex band and benchmarks it against published expected prevalence, producing a diagnostic-gap score per stratum (for example, women aged 35-49 or adults 65+). Step two: it searches the practice's own records for indicator patterns associated with unrecognized ADHD — long antidepressant courses without recorded response, repeated mental-health consultations, historical references to school or behavioural difficulties, ADHD in a first-degree relative — and generates a prioritized, clinician-reviewed candidate list with a suggested invitation letter and pre-assessment questionnaire. The clinician remains the decision-maker; the product's single job is to convert a measured under-recognition problem into a manageable, stratum-by-stratum recall list.
Why now
The new CPRD Aurum study [0] is the first to quantify England's ADHD diagnostic gap at national scale: recorded point prevalence of 1.19% against published expected prevalence, with the gap ranging from 28.71% (males 18-24) to 93.51% (adults 65+), and incidence accelerating sharply from 2020. This turns underdiagnosis from anecdote into a stratified, benchmarkable number that any practice can be scored against. Older corpus papers show the hidden cases sit in identifiable clinical populations — adult ADHD is frequently overlooked in adult psychiatric settings [4][5], and adult ADHD itself is a valid, persistent condition [3] — supporting record-based indicators as a defensible case-finding route.
Written by GLM · 2 Oct 2026
AI assessment
A high-utility clinical decision support tool that leverages a newly quantified national diagnostic gap to drive targeted case-finding in primary care.
- Evidence strength 5/5
- The idea is directly grounded in the CPRD Aurum study [5], which provides the specific stratified gap data (by age/sex) necessary to power the audit's benchmarking engine.
- Market pull 4/5
- NHS GP practices and ICBs have strong incentives to reduce health inequalities and manage waiting lists, though budget cycles for 'audit tools' can be slow.
- Novelty & moat 3/5
- While it shares themes with the 'Later-Life Recognition Pathway', it differs by being a records-based population health tool rather than a clinical pathway for individual patients.
- Feasibility 4/5
- The logic is based on existing structured data (ICD codes, medication history, demographics) available in EMIS/TPP systems, making an MVP highly achievable.
- Wedge clarity 5/5
- The 'diagnostic-gap score' provides a sharp, quantifiable entry point that creates immediate urgency for the clinician to use the case-finder.
- Simplicity / focus 5/5
- The product has a single, focused objective: identify missed cases through a two-step audit and mine process.
Scored by Gemma 4 · 10 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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Business analysis
The framework reveals a high-leverage B2B model that transforms a systemic clinical failure (underdiagnosis) into a quantifiable performance metric for GP practices. Success depends heavily on deep technical integration with EHR providers and the ability to prove that record-mining reduces the burden on clinicians rather than adding to it.
Key Partners4
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The idea has clearly defined beneficiaries and a specific value proposition, making it the right time to map out the revenue streams and delivery channels. · Generated 2026-10-02 by Gemma 4AI-generatedFull Business Model Canvas →
Who benefits
- EMIS Healthcompany
Its EMIS Web system holds records for the majority of English GP practices and is the source of CPRD Aurum data, so the audit logic maps directly onto its installed base as a sellable population-health module for practices and PCNs.
This ICB has faced well-publicised ADHD assessment backlogs; a practice-level gap audit gives it quantified evidence of local under-recognition to justify and target investment in assessment capacity by age and sex strata.
- TPPcompany
Its SystmOne EHR serves thousands of NHS GP practices and also feeds CPRD Aurum; embedding the gap audit gives it a differentiated population-health feature for the same buyers.
- NHS Englandorganization
National body caught between rising assessment demand and public concern about stimulant overprescription; a two-sided, era-adjusted calibration view lets it target both missed cases and outlier practices with one tool.
- NHS North East London Integrated Care Boardorganization
Commissioner planning local ADHD assessment capacity; practice-level calibration shows where to add case-finding support for missed diagnoses and where to review assessment quality.
- Elevance Healthcompany
Payer monitoring behavioral-health prescribing across its networks; the over-tail flags practices diagnosing and prescribing implausibly often, complementing its existing utilization-review tooling with a prevalence-calibrated view.
- ADHD UKorganization
The charity campaigns on underdiagnosis and waiting lists; practice-level gap scores give it objective, local evidence to direct awareness campaigns and support calls for better services.
- ADHD Foundationorganization
It delivers ADHD training and awareness programmes to health and education services; stratified gap data lets it target its training where under-recognition is measurably worst, starting with older adults and women.
Research it builds on
- The global prevalence of ADHD in children and adolescents: a systematic review and meta-analysisNader Salari, Hooman Ghasemi, Nasrin Abdoli et al. · 2023 · 663 citationsAll ideas from this paper →
- The global prevalence of attention deficit hyperactivity disorder in children and adolescents: An umbrella review of meta-analysesGetinet Ayano, Sileshi Demelash, Yitbarek Gizachew et al. · 2023 · 452 citationsAll ideas from this paper →
- Annual Research Review: Attention‐deficit/hyperactivity disorder in girls and women: underrepresentation, longitudinal processes, and key directionsStephen P. Hinshaw, Phuc T. Nguyen, Sinclaire M. O’Grady et al. · 2021 · 435 citationsAll ideas from this paper →
- 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 →
- Late-Onset ADHD Reconsidered With Comprehensive Repeated Assessments Between Ages 10 and 25Margaret H. Sibley, Luís Augusto Rohde, James M. Swanson et al. · 2017 · 166 citationsAll ideas from this paper →
- Prevalence of attention deficit hyperactivity disorder in adults: Umbrella review of evidence generated across the globeGetinet Ayano, Light Tsegay, Yitbarek Gizachew et al. · 2023 · 161 citationsAll ideas from this paper →
- Psychiatric comorbidity in children and adolescents with ADHD: A systematic review and meta-analysisUrður Njarðvík, Gro Janne Wergeland, Eili N. Riise et al. · 2025 · 141 citationsAll ideas from this paper →
- ADHD Diagnostic Trends: Increased Recognition or Overdiagnosis?Elie Abdelnour, Madeline Owens Jansen, Jessica A. Gold · 2022 · 129 citationsAll ideas from this paper →
- Attention-Deficit/Hyperactivity Disorder Diagnosis, Treatment, and Telehealth Use in Adults — National Center for Health Statistics Rapid Surveys System, United States, October–November 2023Brooke S. Staley, Lara R. Robinson, Angelika Hartl Claussen et al. · 2024 · 87 citationsAll ideas from this paper →
- Attention‐deficit/hyperactivity disorder ( ADHD ) in adults: evidence base, uncertainties and controversiesSamuele Cortese, Mark A. Bellgrove, Isabell Brikell et al. · 2025 · 66 citationsAll ideas from this paper →
- Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Machine LearningTianhua Chen, Grigoris Antoniou, Marios Adamou et al. · 2021 · 44 citationsAll ideas from this paper →
- Screening for attention-deficit/hyperactivity disorder in borderline personality disorderSébastien Weibel, Rosetta Nicastro, Paco Prada et al. · 2017 · 34 citationsAll ideas from this paper →
- Adult ADHD: Translation and factor analysis of the ASRS-1.1Hervé M. Caci, Franck Jean Baylé, J. Bouchez · 2008 · 14 citationsAll ideas from this paper →
- Editorial Perspective: School exclusion is a mental health issueClaire Parker, Tamsin Jane Ford · 2013 · 13 citationsAll ideas from this paper →
- Attention deficit hyperactivity disorder diagnoses and prescriptions in UK primary care, 2000–2018: population-based cohort studyAlexandra Philipsen · 2024 · 2 citationsAll ideas from this paper →
- Attention-Deficit/Hyperactivity Disorder in Children and Adults in England, 2000–2025: Recorded Prevalence and Diagnostic Trends in a Population-Based Observational Study Using Routinely Collected Primary Care DataAmber John, Gavin Robert Stewart, William Mandy et al. · 2026 · 2 citationsAll ideas from this paper →