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How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study
The use of online surveys as a recruitment tool for clinical research has recently expanded; nevertheless, optimal recruitment strategies remain poorly identified. Objectives. The study aimed to identify the most effective recruitment strategies for online research studies and to determine the optim...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523174/ https://www.ncbi.nlm.nih.gov/pubmed/36178500 http://dx.doi.org/10.1007/s00296-022-05195-0 |
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author | Hmamouchi, Ihsane Abi Najm, Antonella El Kibbi, Lina Metawee, Mona Halabi, Hussein Abdulateef, Nizar Eissa, Mervat El Rakawi, Manal Masri, Basel Boutaiban, Fatma Hamdi, Wafa Adnan, Asal Felten, Renaud Arnaud, Laurent Ziadé, Nelly |
author_facet | Hmamouchi, Ihsane Abi Najm, Antonella El Kibbi, Lina Metawee, Mona Halabi, Hussein Abdulateef, Nizar Eissa, Mervat El Rakawi, Manal Masri, Basel Boutaiban, Fatma Hamdi, Wafa Adnan, Asal Felten, Renaud Arnaud, Laurent Ziadé, Nelly |
author_sort | Hmamouchi, Ihsane |
collection | PubMed |
description | The use of online surveys as a recruitment tool for clinical research has recently expanded; nevertheless, optimal recruitment strategies remain poorly identified. Objectives. The study aimed to identify the most effective recruitment strategies for online research studies and to determine the optimal survey channels for obtaining patients’ responses. This is a post-hoc analysis of the ARCOVAX (ArLAR COVID Vaccination) study. Multiple recruitment strategies were disseminated in Arabic, English, and French. The proportion of enrolled patients was correlated with each strategy. Channels used by patients to complete the survey were divided into three categories (social media (SoMe), doctor, and patients’ associations). These channels were correlated with the patients’ characteristics and the country’s Gross Domestic Product (GDP). A total of 1595 patients from 19 Arab countries completed the survey. Patients’ mean age was 39 years, 73.2% (1159) were females, 17.8% (284) had a university education level and 93.1% (1468) answered the survey in Arabic. The most effective recruitment strategies were personalized WhatsApp reminders to recruiters (30% of enrolled patients), technical support in response to access issues (27%) and sharing recruitment status by country on a WhatsApp group (24%). The channels used to complete the survey were: SoMe in 45% (711), doctor in 40% (647), and patients’ associations in 8.5% (233), and correlated with age and GDP. To optimize recruitment, it is recommended to combine multiple strategies and channels, use the native language and be active (mobilize teams), reactive (provide prompt technical support), and proactive (share regular updates and reminders). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00296-022-05195-0. |
format | Online Article Text |
id | pubmed-9523174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-95231742022-09-30 How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study Hmamouchi, Ihsane Abi Najm, Antonella El Kibbi, Lina Metawee, Mona Halabi, Hussein Abdulateef, Nizar Eissa, Mervat El Rakawi, Manal Masri, Basel Boutaiban, Fatma Hamdi, Wafa Adnan, Asal Felten, Renaud Arnaud, Laurent Ziadé, Nelly Rheumatol Int Observational Research The use of online surveys as a recruitment tool for clinical research has recently expanded; nevertheless, optimal recruitment strategies remain poorly identified. Objectives. The study aimed to identify the most effective recruitment strategies for online research studies and to determine the optimal survey channels for obtaining patients’ responses. This is a post-hoc analysis of the ARCOVAX (ArLAR COVID Vaccination) study. Multiple recruitment strategies were disseminated in Arabic, English, and French. The proportion of enrolled patients was correlated with each strategy. Channels used by patients to complete the survey were divided into three categories (social media (SoMe), doctor, and patients’ associations). These channels were correlated with the patients’ characteristics and the country’s Gross Domestic Product (GDP). A total of 1595 patients from 19 Arab countries completed the survey. Patients’ mean age was 39 years, 73.2% (1159) were females, 17.8% (284) had a university education level and 93.1% (1468) answered the survey in Arabic. The most effective recruitment strategies were personalized WhatsApp reminders to recruiters (30% of enrolled patients), technical support in response to access issues (27%) and sharing recruitment status by country on a WhatsApp group (24%). The channels used to complete the survey were: SoMe in 45% (711), doctor in 40% (647), and patients’ associations in 8.5% (233), and correlated with age and GDP. To optimize recruitment, it is recommended to combine multiple strategies and channels, use the native language and be active (mobilize teams), reactive (provide prompt technical support), and proactive (share regular updates and reminders). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00296-022-05195-0. Springer Berlin Heidelberg 2022-09-30 2023 /pmc/articles/PMC9523174/ /pubmed/36178500 http://dx.doi.org/10.1007/s00296-022-05195-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Observational Research Hmamouchi, Ihsane Abi Najm, Antonella El Kibbi, Lina Metawee, Mona Halabi, Hussein Abdulateef, Nizar Eissa, Mervat El Rakawi, Manal Masri, Basel Boutaiban, Fatma Hamdi, Wafa Adnan, Asal Felten, Renaud Arnaud, Laurent Ziadé, Nelly How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
title | How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
title_full | How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
title_fullStr | How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
title_full_unstemmed | How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
title_short | How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
title_sort | how to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study |
topic | Observational Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523174/ https://www.ncbi.nlm.nih.gov/pubmed/36178500 http://dx.doi.org/10.1007/s00296-022-05195-0 |
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