Evidence map›Paper›PMID 34615680›Full record

ArticleBMJ open2021

Audit of data redaction practices in NICE technology appraisals from 1999 to 2019.

Leeza Osipenko

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. 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.

Leeza OsipenkoHealth Policy, London School of Economics and Political Science, London, UK l.osipenko@lse.ac.uk.ORCID 0000-0002-7758-509X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the extent and type of data redaction in all active technology appraisals (TA) and highly specialised technology (HST) evaluations issued by the National Institute for Health and Care Excellence (NICE) from its conception of the institute to September 2019. To propose policy recommendations for transparency.

methodsStructured audit to establish extent of data redaction-proportion of appraisals and specific data categories and assess redaction by: indication, appraisal process, manufacturer, type of data-price, adverse events (AEs), clinical (excluding AEs), incremental quality-adjusted life-years. Longitudinal analysis over 20 years.

resultsAll TAs with available documentation and active recommendations (n=408) and HSTs (n=10) published from March 2000 to 11 September 2019 have been assessed for data redaction. Overall, 333 TAs (81.6%) have data redaction, 86 (25.8%) of them are heavily redacted. Clinical data (excluding AEs) are redacted in 268 (65.7%) appraisals, AE data in 128 (31.4%), price in 238 (58.3%). In total, 87% of oncology appraisals have redacted data vs 78% of non-oncology appraisals. 91% of single TAs have redacted data vs 59% of multiple TAs. 25% of final guidance documents (e.g. Final Appraisal Determination - FAD) do not report one or more instance of clinical data. Data redaction increased substantially over time, and is currently at its highest level with 100% of TAs having at least some data redaction in 2019/2020, 96% of appraisals in 2018/2019% and 94% of appraisals in 2017/2018. All 10 HST evaluations have redacted data, with 4 of them being heavily redacted.

conclusionsDocuments supporting NICE TA and HST recommendations are significantly redacted, thereby concealing clinical and economic data of importance to patients, clinicians and researchers. Documents remain redacted on the NICE website for years. Policy change is required to ensure transparency of data underpinning NICE's decisions.

Indexed as

Biomedical TechnologyTechnology Assessment, BiomedicalCost-Benefit AnalysisHumansPolicyUnited Kingdomethics (see medical ethics)health policypublic healthquality in health care

Identifiers

PMID34615680
PMCPMC8496400

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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.