Evidence map›Paper›PMID 39379941›Full record

ArticleBMC health services research2024

A national evaluation of QbTest to support ADHD assessment: a real-world, mixed methods approach.

Sophie S Hall, Caitlin McKenzie, Louise Thomson, Benji-Rose Ingall, Madeleine J Groom, Nicole McGlennon, Mark Dines-Allen, Charlotte L Hall

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Sophie S HallNottingham Clinical Trials Unit, School of Medicine, University of Nottingham, Nottingham, UK.
Caitlin McKenzieNottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK.
Louise ThomsonSchool of Medicine, Academic Unit of Mental Health & Clinical Neurosciences, University of Nottingham, Nottingham, UK.
Benji-Rose IngallNottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK.
Madeleine J GroomSchool of Medicine, Academic Unit of Mental Health & Clinical Neurosciences, University of Nottingham, Nottingham, UK.
Nicole McGlennonHealth Innovation East Midlands, University of Nottingham, Nottingham, UK.
Mark Dines-AllenHealth Innovation East Midlands, University of Nottingham, Nottingham, UK.
Charlotte L HallSchool of Medicine, Academic Unit of Mental Health & Clinical Neurosciences, University of Nottingham, Nottingham, UK. Charlotte.hall@nottingham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQbTest is a commercially available, computerised test of attention, impulsivity, and activity designed to assist with the diagnosis of attention deficit hyperactivity disorder (ADHD). Health Innovation East Midlands (formerly East Midlands AHSN), led the implementation of the QbTest on behalf of the 15 Health Innovation Networks across Child and Adolescent Mental Health services (CAMHS) and Paediatric sites in England between April 2020 and March 2023. We evaluate the impact of this programme on diagnostic assessment at participating sites.

methodsA mixed-methods approach was used including: case-note data collected on 10-30 cases per site pre and post QbTest implementation; interviews with healthcare staff working with QbTest; and surveys to explore perspectives of healthcare staff and patients/carers. Case-note data was descriptively analysed to compare time to diagnosis (number of appointments and days) pre/post QbTest implementation. Survey data was analysed descriptively. Qualitative interview data was explored using thematic analysis.

resultsCase-note data was provided by 20 sites across England. Comparison of mean values pre- and post-QbTest implementation identified a decrease of 0.37 (11.5%) in number of appointments to reach a diagnostic decision, a 55-day (12.5%) increase in days from initial referral to diagnosis, and a 12-day (10.3%) increase in days to reach a diagnostic decision. Exploratory analyses indicated greater benefit for Paediatric services over CAMHS, in terms of a decrease in days from referral to diagnosis and number of appointments to diagnosis. Interviews with healthcare staff (n=21) revealed that the QbTest was perceived to support a faster, more efficient diagnostic process. Survey data (n=65 healthcare staff, n=22 patients/carers) identified that the QbTest helped patients understand their symptoms and the diagnostic decision.  Although some logistical issues (e.g., room requirements) and patient issues (e.g., sensory sensitivity) were identified, healthcare staff considered that QbTest was easily incorporated into the ADHD assessment pathway.

conclusionThe national implementation of QbTest in ADHD clinics resulted in a small reduction in the number of clinical appointments needed to reach a diagnostic decision, with greatest benefit demonstrated in Paediatric sites. Data were impacted by COVID-19 therefore, further evaluation is warranted.

Indexed as

Attention Deficit Disorder with HyperactivityAdolescentChildDiagnosis, Computer-AssistedEnglandFemaleHumansMaleADHDAssessmentCase-noteQbTestQualitativeReal-world evaluation

Identifiers

PMID39379941
PMCPMC11459991

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.