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Assessment of automated clinical trial recruitment and enrolment using patient-facing technology

OBJECTIVE: Interactive patient care systems (IPCS) at the bedside are becoming increasingly common, but evidence is limited as to their potential for innovative clinical trial implementation. The objective of this study was to test the hypothesis that the IPCS could feasibly be used to automate recr...

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Autores principales: Bardach, Naomi S, Lam, Regina, Jasik, Carolyn B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843354/
https://www.ncbi.nlm.nih.gov/pubmed/33504589
http://dx.doi.org/10.1136/bmjhci-2019-100076
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author Bardach, Naomi S
Lam, Regina
Jasik, Carolyn B
author_facet Bardach, Naomi S
Lam, Regina
Jasik, Carolyn B
author_sort Bardach, Naomi S
collection PubMed
description OBJECTIVE: Interactive patient care systems (IPCS) at the bedside are becoming increasingly common, but evidence is limited as to their potential for innovative clinical trial implementation. The objective of this study was to test the hypothesis that the IPCS could feasibly be used to automate recruitment and enrolment for a clinical trial. METHODS: In medical-surgical units, we used the IPCS to randomise, recruit and consent eligible subjects. For participants not interacting with IPCS study materials within 48 hours, study staff-initiated recruitment in-person. Eligible study population included all caregivers and any patients >6 years old admitted to medical-surgical units and oncology units September 2015 to January 2016. Outcomes: randomisation assessed using between-group comparisons of patient characteristics; recruitment success assessed by rates of consent; paperless implementation using successful acquisition of electronic signature and email address. We used χ(2) analysis to assess success of randomisation and recruitment. RESULTS: Randomisation was successful (n=1012 randomised, p>0.05 for all between-group comparisons). For the subset of eligible, randomised patients who were recruited, IPCS-only recruitment (consented: 2.4% of n=213) was less successful than in-person recruitment (61.4% of n=87 eligible recruited, p<0.001). For those consenting (n=61), 96.7% provided an electronic signature and 68.9% provided email addresses. CONCLUSIONS: Our results suggest that as a tool at the bedside, the IPCS offers key efficiencies for study implementation, including randomisation and collecting e-consent and contact information, but does not offer recruitment efficiencies. Further research could assess the value that interactive technologies bring to recruitment when paired with in-person efforts, potentially focusing on more intensive user-interface testing for recruitment materials. TRIAL REGISTRATION NUMBER: NCT02491190.
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spelling pubmed-78433542021-01-29 Assessment of automated clinical trial recruitment and enrolment using patient-facing technology Bardach, Naomi S Lam, Regina Jasik, Carolyn B BMJ Health Care Inform Original Research OBJECTIVE: Interactive patient care systems (IPCS) at the bedside are becoming increasingly common, but evidence is limited as to their potential for innovative clinical trial implementation. The objective of this study was to test the hypothesis that the IPCS could feasibly be used to automate recruitment and enrolment for a clinical trial. METHODS: In medical-surgical units, we used the IPCS to randomise, recruit and consent eligible subjects. For participants not interacting with IPCS study materials within 48 hours, study staff-initiated recruitment in-person. Eligible study population included all caregivers and any patients >6 years old admitted to medical-surgical units and oncology units September 2015 to January 2016. Outcomes: randomisation assessed using between-group comparisons of patient characteristics; recruitment success assessed by rates of consent; paperless implementation using successful acquisition of electronic signature and email address. We used χ(2) analysis to assess success of randomisation and recruitment. RESULTS: Randomisation was successful (n=1012 randomised, p>0.05 for all between-group comparisons). For the subset of eligible, randomised patients who were recruited, IPCS-only recruitment (consented: 2.4% of n=213) was less successful than in-person recruitment (61.4% of n=87 eligible recruited, p<0.001). For those consenting (n=61), 96.7% provided an electronic signature and 68.9% provided email addresses. CONCLUSIONS: Our results suggest that as a tool at the bedside, the IPCS offers key efficiencies for study implementation, including randomisation and collecting e-consent and contact information, but does not offer recruitment efficiencies. Further research could assess the value that interactive technologies bring to recruitment when paired with in-person efforts, potentially focusing on more intensive user-interface testing for recruitment materials. TRIAL REGISTRATION NUMBER: NCT02491190. BMJ Publishing Group 2021-01-27 /pmc/articles/PMC7843354/ /pubmed/33504589 http://dx.doi.org/10.1136/bmjhci-2019-100076 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Bardach, Naomi S
Lam, Regina
Jasik, Carolyn B
Assessment of automated clinical trial recruitment and enrolment using patient-facing technology
title Assessment of automated clinical trial recruitment and enrolment using patient-facing technology
title_full Assessment of automated clinical trial recruitment and enrolment using patient-facing technology
title_fullStr Assessment of automated clinical trial recruitment and enrolment using patient-facing technology
title_full_unstemmed Assessment of automated clinical trial recruitment and enrolment using patient-facing technology
title_short Assessment of automated clinical trial recruitment and enrolment using patient-facing technology
title_sort assessment of automated clinical trial recruitment and enrolment using patient-facing technology
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843354/
https://www.ncbi.nlm.nih.gov/pubmed/33504589
http://dx.doi.org/10.1136/bmjhci-2019-100076
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