Evidence map›Paper›PMID 28706090›Full record

ArticleBMJ open2017

Improving site selection in clinical studies: a standardised, objective, multistep method and first experience results.

Anahí Hurtado-Chong, Alexander Joeris, Denise Hess, Michael Blauth

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02297581 (A Prospective Multicenter Cohort Study to Evaluate the Benefit of the Geriatric Fracture Center), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

NCT02297581 completednot on this map

A Prospective Multicenter Cohort Study to Evaluate the Benefit of the Geriatric Fracture Center (GFC) Concept

TypeobservationalSponsorAO Innovation Translation CenterRan2015 to 2020Enrolled282ConditionsHip Fractures
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  12. Review
  13. Observational
  14. Article
  15. Drivers of Start-Up Delays in Global Randomized Clinical Trials.Therapeutic innovation & regulatory science · 2021
    Article
  16. Article
  17. Article
  18. Optimizing clinical trials recruitment via deep learning.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  19. Article
  20. 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

4 authors.

Anahí Hurtado-ChongAOClinical Investigation and Documentation (AOCID), AO Foundation, Dübendorf, Switzerland.
Alexander JoerisAOClinical Investigation and Documentation (AOCID), AO Foundation, Dübendorf, Switzerland.
Denise HessAOClinical Investigation and Documentation (AOCID), AO Foundation, Dübendorf, Switzerland.
Michael BlauthDepartment of Trauma Surgery, Medical University of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA considerable number of clinical studies experience delays, which result in increased duration and costs. In multicentre studies, patient recruitment is among the leading causes of delays. Poor site selection can result in low recruitment and bad data quality. Site selection is therefore crucial for study quality and completion, but currently no specific guidelines are available. MATERIAL AND

methodsSelection of sites adequate to participate in a prospective multicentre cohort study was performed through an open call using a newly developed objective multistep approach. The method is based on use of a network, definition of objective criteria and a systematic screening process. ILLUSTRATIVE EXAMPLE OF THE METHOD AT WORK: Out of 266 interested sites, 24 were shortlisted and finally 12 sites were selected to participate in the study. The steps in the process included an open call through a network, use of selection questionnaires tailored to the study, evaluation of responses using objective criteria and scripted telephone interviews. At each step, the number of candidate sites was quickly reduced leaving only the most promising candidates. Recruitment and quality of data went according to expectations in spite of the contracting problems faced with some sites.

conclusionThe results of our first experience with a standardised and objective method of site selection are encouraging. The site selection method described here can serve as a guideline for other researchers performing multicentre studies. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov: NCT02297581.

Indexed as

Clinical Studies as TopicHumansMulticenter Studies as TopicQuality ImprovementResearch DesignSurveys and Questionnairesclinical researchmethodologymulticenter studiessite selection

Identifiers

PMID28706090
PMCPMC5734283

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.