Literature DB >> 34041937

Clinical trials site recruitment optimisation: Guidance from Clinical Trials: Impact and Quality.

Christine Zahren1, Sonia Harvey2, Leanne Weekes2, Charlotte Bradshaw3, Radhika Butala4, John Andrews5, Sally O'Callaghan6.   

Abstract

BACKGROUND/AIMS: Participants are integral to the success of any clinical research study, yet participant recruitment into clinical trials poses ongoing and complex challenges. It is widely accepted and recognised that clinical trial sites often find it difficult to meet recruitment goals, both in terms of accrual targets and timelines. This can impact the validity of trials or cause major delays for research. There are very few frameworks available to clinical trial sites to improve recruitment. The GREET project (Guidance to Recruitment: Examining Experiences at clinical Trial sites) sought to identify barriers to recruitment and produce formal guidance to optimise recruitment outcomes.
METHODS: Clinical Trials: Impact and Quality, a collaborative of sector stakeholders, convened a project team with comprehensive knowledge of the Australian clinical trials sector to undertake the GREET project. The project scope included exploration of recruitment issues at a site level across all phases of clinical trials and all types of trial sites. The scope excluded upstream issues such as protocol design and general public clinical trial awareness, participant retention and elements of recruitment outside a site's capacity to directly influence or control. The project team's extensive knowledge and experience conducting clinical trials in Australia was used to collaboratively identify a list of 24 key barriers and 12 enablers to site recruitment which formed the basis of the project. Key stakeholder groups were surveyed to challenge project team assumptions. A national and international environmental scan and literature review was conducted to identify best-practice recruitment solutions.
RESULTS: A total of 343 people responded to a survey sent to sites, sponsors, and contract research organisations, and 162 people responded to a survey sent to consumers via consumer networks. The key barriers and enablers initially identified by the project team aligned with the key outcomes of the surveys, which in turn assisted in the development of best-practice recommendations in the form of a Clinical Trial Site Recruitment Guide. Recommendations were grouped into four key themes; conducting accurate study feasibility; proactive planning during start-up; selecting optimal recruitment methods; and participant involvement. Early intervention was identified as a key facilitator in maximising improved recruitment outcomes. The GREET Clinical Trial Site Recruitment Guide is publicly accessible on the Clinical Trials: Impact and Quality website.
CONCLUSION: Participant recruitment challenges experienced at a site level are widespread and varied, and there is no universal recruitment solution. However, this project identified that there are interventions and assessments that can be proactively implemented and selectively applied to facilitate improved recruitment outcomes.

Entities:  

Keywords:  Clinical trials; barriers; enablers; enrolment; feasibility; participant recruitment; patient recruitment; recruitment plan; site recruitment

Year:  2021        PMID: 34041937     DOI: 10.1177/17407745211015924

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  3 in total

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Journal:  BMC Med Res Methodol       Date:  2022-05-14       Impact factor: 4.612

2.  Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei.

Authors:  Chin Yee Shim; Si Yee Chan; Yuan Wei; Hazim Ghani; Liyana Ahmad; Hanisah Sharif; Mohammad Fathi Alikhan; Saifuddien Haji Bagol; Surita Taib; Chee Wah Tan; Xin Mei Ong; Lin-Fa Wang; Yan Wang; An Qi Liu; Hong Shen Lim; Justin Wong; Lin Naing; Anne Catherine Cunningham
Journal:  Front Public Health       Date:  2022-09-12

3.  A randomized controlled trial for evaluating the impact of integrating a computerized clinical decision support system and a socially assistive humanoid robot into grand rounds during pre/post-operative care.

Authors:  Izidor Mlakar; Urška Smrke; Vojko Flis; Andrej Bergauer; Nina Kobilica; Tadej Kampič; Samo Horvat; Damjan Vidovič; Bojan Musil; Nejc Plohl
Journal:  Digit Health       Date:  2022-09-25
  3 in total

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