Evidence map›Paper›PMID 18197978›Full record

ArticleChild and adolescent psychiatry and mental health2008

The NICE ADHD health technology assessment: a review and critique.

Michael Schlander

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

1 author.

Michael SchlanderInstitute for Innovation & Valuation in Health Care (InnoValHC), Eschborn, Germany. ms@michaelschlander.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth technology assessments (HTAs) by the National Institute for Health and Clinical Excellence (NICE) enjoy high levels of international attention. The present analysis addresses NICE's appraisal of methylphenidate, atomoxetine and dexamphetamine for attention-deficit/hyperactivity disorder (ADHD) in children and adolescents, published in March 2006.

methodsA qualitative study of NICE Technology Appraisal No. 98 was done focusing on the >600-page technology assessment report, which aimed at evaluating ADHD treatment strategies by a clinical effectiveness review and an economic analysis using meta-analytical techniques and a cost-effectiveness model.

resultsThe technology assessment was unable to differentiate between the various drugs in terms of efficacy, and its economic model was ultimately driven by cost differences. While the assessment concluded that the economic model "clearly identified an optimal treatment strategy" with first-line dexamphetamine, the NICE appraisal committee subsequently found it impossible to distinguish between the different strategies on grounds of cost-effectiveness. Analyzing the assessment reveals gaps and inconsistencies concerning data selection (ultimately relying on a small number of short-term studies only), data synthesis (pooling of heterogeneous study designs and clinical endpoints), and economic model structure (identifying double-counting of nonresponders as a likely source of bias, alongside further methodological anomalies).

conclusionMany conclusions of the NICE technology assessment rest on shaky grounds. There remains a need for a new, state-of-the-art systematic review of ADHD treatment strategies including economic evaluation, which ideally should address outcomes beyond children's health-related quality of life, such as long-term sequelae of the disorder and caregiver burden.

Identifiers

PMID18197978
PMCPMC2265261

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.