Evidence map›Paper›PMID 36575542›Full record

ArticleTrials2022

A good use of time? Providing evidence for how effort is invested in primary and secondary outcome data collection in trials.

Heidi Gardner, Adel Elfeky, David Pickles, Annabel Dawson, Katie Gillies, Violet Warwick, Shaun Treweek

Abstract read
In one paragraph

Article in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

7 authors.

Heidi GardnerHealth Services Research Unit, University of Aberdeen, Health Services Research Unit, Foresterhill, Aberdeen, AB25 2ZD, UK. heidi.gardner.10@aberdeen.ac.uk.ORCID http://orcid.org/0000-0002-2796-6898
Adel ElfekyHealth Services Research Unit, University of Aberdeen, Health Services Research Unit, Foresterhill, Aberdeen, AB25 2ZD, UK.
David PicklesRheumatology Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Annabel Dawson, Durham, UK.
Katie GilliesHealth Services Research Unit, University of Aberdeen, Health Services Research Unit, Foresterhill, Aberdeen, AB25 2ZD, UK.
Violet WarwickSchool of Medicine, University of Dundee, Dundee, UK.
Shaun TreweekHealth Services Research Unit, University of Aberdeen, Health Services Research Unit, Foresterhill, Aberdeen, AB25 2ZD, UK.

Funding

Chief Scientist Office HSRU1Chief Scientist Office, Scottish Government Health and Social Care Directorate HIPS/18/04
6 · The paper itself

Abstract

backgroundData collection is a substantial part of trial workload for participants and staff alike. How these hours of work are spent is important because stakeholders are more interested in some outcomes than others. The ORINOCO study compared the time spent collecting primary outcome data to the time spent collecting secondary outcome data in a cohort of trials.

methodsWe searched PubMed for phase III trials indexed between 2015 and 2019. From these, we randomly selected 120 trials evaluating a therapeutic intervention plus an additional random selection of 20 trials evaluating a public health intervention. We also added eligible trials from a cohort of 189 trials in rheumatology that had used the same core outcome set. We then obtained the time taken to collect primary and secondary outcomes in each trial. We used a hierarchy of methods that included data in trial reports, contacting the trial team and approaching individuals with experience of using the identified outcome measures. We calculated the primary to secondary data collection time ratio and notional data collection cost for each included trial.

resultsWe included 161 trials (120 phase III; 21 core outcome set; 20 public health), which together collected 230 primary and 688 secondary outcomes. Full primary and secondary timing data were obtained for 134 trials (100 phase III; 17 core outcome set; 17 public health). The median time spent on primaries was 56.1 h (range: 0.0-10,746.7, IQR: 226.89) and the median time spent on secondaries was 190.7 hours (range: 0.0-1,356,832.9, IQR: 617.6). The median primary to secondary data collection time ratio was 1.0:3.0 (i.e. for every minute spent on primary outcomes, 3.0 were spent on secondaries). The ratio varied by trial type: phase III trials were 1.0:3.1, core outcome set 1.0:3.4 and public health trials 1.0:2.2. The median notional overall data collection cost was £8015.73 (range: £52.90-£31,899,140.70, IQR: £20,096.64).

conclusionsDepending on trial type, between two and three times as much time is spent collecting secondary outcome data than collecting primary outcome data. Trial teams should explicitly consider how long it will take to collect the data for an outcome and decide whether that time is worth it given importance of the outcome to the trial.

Indexed as

Core outcome setsData collectionOutcomesRandomised trialsResearch waste

Identifiers

PMID36575542
PMCPMC9793601

What OpenQuestion holds

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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.