Evidence map›Paper›PMID 35766902›Full record

ArticleCancer2022

Envisioning clinical trials as complex interventions.

Kristian D Stensland, Laura J Damschroder, Anne E Sales, Anne F Schott, Ted A Skolarus

Abstract read
In one paragraph

Article in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Applying implementation frameworks to the clinical trial context.Implementation science communications · 2022
    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

5 authors.

Kristian D StenslandDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-3765-3393
Laura J DamschroderCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Anne E SalesDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Anne F SchottUniversity of Michigan Rogel Cancer Center, Ann Arbor, Michigan, USA.
Ted A SkolarusDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-5859-8151

Funding

De-implementation of low value castration for men with prostate cancerR37CA222885 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SAINI, SAMEER DEV, SKOLARUS, TED ALBERT · 2018 to 2023
$3.6M
Advanced Training in Urologic OncologyT32CA180984 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu, VAHAKN B SHAHINIAN · 2014 to 2026
$3.4M
Refining castration use for recurrent prostate cancerR01CA242559 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SKOLARUS, TED ALBERT, TSODIKOV, ALEXANDER · 2020 to 2023
$1.4M
Building capacity for clinical trial improvement through implementation scienceF32CA264874 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STENSLAND, KRISTIAN DONALD · 2021 to 2021
$84k
NCI NIH HHS F32 CA264874NCI NIH HHS R01 CA242559NCI NIH HHS R37 CA222885NCI NIH HHS T32 CA180984
6 · The paper itself

Abstract

Clinical trials are critical components of modern health care and infrastructure. Trials benefit society through scientific advancement and individual patients through trial participation. In fact, billions of dollars are spent annually in support of these benefits. Despite the massive investments, clinical trials often fail to accomplish their primary aims and trial enrollment rates remain low. Prior efforts to improve trial conduct and enrollment have had limited success, perhaps due to oversimplification of the complex, multilevel nature of trials. For these reasons, the authors propose applying implementation science to the clinical trials context. In this commentary, the authors posit clinical trials as complex, multilevel evidence-based interventions with significant societal and individual benefits yet with persistent gaps in implementation. An application of implementation science concepts to the clinical trials context as means to build common vocabulary and establish a platform for applying implementation science and practice to improve clinical trial conduct is introduced. Applying implementation science to the clinical trials context can augment improvement efforts and build capacity for better and more efficient evidence-based care for all patients and trial stakeholders throughout the clinical trials enterprise.

Indexed as

Clinical Trials as TopicDelivery of Health CareHumansclinical trialscomplex interventionshealth services researchimplementation sciencequality improvement

Identifiers

PMID35766902
PMCPMC9378578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.