Participant Motivators and Expectations in the MEL-SELF Randomized Clinical Trial of Patient-Led Surveillance for Recurrent Melanoma: Content Analysis of Survey Responses.

SWATs cancer clinical trials dermatology dermatology clinical trials early detection melanoma mobile phone randomized controlled trial studies within a trial teledermatology trial recruitment and retention

Journal

JMIR dermatology
ISSN: 2562-0959
Titre abrégé: JMIR Dermatol
Pays: Canada
ID NLM: 101770607

Informations de publication

Date de publication:
17 Oct 2024
Historique:
received: 14 03 2024
accepted: 12 08 2024
revised: 11 08 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 17 10 2024
Statut: epublish

Résumé

Limited data exist on the motivations and expectations of participants when enrolling in dermatology clinical trials, including melanoma early detection trials. Understanding participant motivators for research engagement has been identified as a prioritized area for trial methodology research. The study aimed to determine motivators of participation and expectations from trial involvement among patients enrolled in the MEL-SELF randomized clinical trial of patient-led surveillance for new or recurrent melanoma. The MEL-SELF trial is recruiting patients previously treated for localized melanoma, who own a smartphone, have a partner to assist with skin self-examination (SSE), and attend routinely scheduled follow-up at specialist and primary care skin clinics in Australia. We evaluated responses from the first 100 randomized participants to 2 open-ended questions about their motivations and expectations for participating in the trial, administered through the internet-based baseline questionnaire. A total of 3 coders independently coded the free-text responses and resolved discrepancies through consensus. Qualitative content analysis by an iterative process was used to group responses into themes. Responses from potential participants who were not randomized and the 404 participants randomized subsequently into the trial, were also checked for new themes. Coding and analysis were conducted in Microsoft Excel. Out of the 100 survey participants, 98 (98%) answered at least 1 of the 2 questions. Overall, responses across the motivation and expectation items indicated 3 broad themes: community benefit, perceived personal benefit, and trusting relationship with their health care provider. The most common motivators for participation were related to community benefit. These included progressing medical research, benefitting future melanoma patients who may have similar experiences, and broader altruistic sentiments such as "helping others" or "giving back." The most common expectations from the trial related to personal benefit. These included perceived improved outcomes such as earlier diagnosis and treatment, access to additional care, and increased self-empowerment to take actions themselves that benefit their health. Patients expressed a desire to gain health-related knowledge and skills and were interested in the potential advantages of teledermatology. There were no new themes in responses from those who were not randomized or were randomized subsequent to the first 100. We report a tailorable, patient-focused approach to identify drivers of research engagement in clinical research. Clinical trials offer an opportunity to collate a substantial evidence base on determinants of research participation and to identify context-specific factors. Results from the MEL-SELF trial emphasized notable altruism, self-empowerment, and perceived advantages of teledermatology as specific motivators. These findings informed consent processes, recruitment, retention, response to trial tasks, and intervention adherence for the MEL-SELF host trial. Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12621000176864. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=379527.

Sections du résumé

BACKGROUND BACKGROUND
Limited data exist on the motivations and expectations of participants when enrolling in dermatology clinical trials, including melanoma early detection trials. Understanding participant motivators for research engagement has been identified as a prioritized area for trial methodology research.
OBJECTIVE OBJECTIVE
The study aimed to determine motivators of participation and expectations from trial involvement among patients enrolled in the MEL-SELF randomized clinical trial of patient-led surveillance for new or recurrent melanoma.
METHODS METHODS
The MEL-SELF trial is recruiting patients previously treated for localized melanoma, who own a smartphone, have a partner to assist with skin self-examination (SSE), and attend routinely scheduled follow-up at specialist and primary care skin clinics in Australia. We evaluated responses from the first 100 randomized participants to 2 open-ended questions about their motivations and expectations for participating in the trial, administered through the internet-based baseline questionnaire. A total of 3 coders independently coded the free-text responses and resolved discrepancies through consensus. Qualitative content analysis by an iterative process was used to group responses into themes. Responses from potential participants who were not randomized and the 404 participants randomized subsequently into the trial, were also checked for new themes. Coding and analysis were conducted in Microsoft Excel.
RESULTS RESULTS
Out of the 100 survey participants, 98 (98%) answered at least 1 of the 2 questions. Overall, responses across the motivation and expectation items indicated 3 broad themes: community benefit, perceived personal benefit, and trusting relationship with their health care provider. The most common motivators for participation were related to community benefit. These included progressing medical research, benefitting future melanoma patients who may have similar experiences, and broader altruistic sentiments such as "helping others" or "giving back." The most common expectations from the trial related to personal benefit. These included perceived improved outcomes such as earlier diagnosis and treatment, access to additional care, and increased self-empowerment to take actions themselves that benefit their health. Patients expressed a desire to gain health-related knowledge and skills and were interested in the potential advantages of teledermatology. There were no new themes in responses from those who were not randomized or were randomized subsequent to the first 100.
CONCLUSIONS CONCLUSIONS
We report a tailorable, patient-focused approach to identify drivers of research engagement in clinical research. Clinical trials offer an opportunity to collate a substantial evidence base on determinants of research participation and to identify context-specific factors. Results from the MEL-SELF trial emphasized notable altruism, self-empowerment, and perceived advantages of teledermatology as specific motivators. These findings informed consent processes, recruitment, retention, response to trial tasks, and intervention adherence for the MEL-SELF host trial.
TRIAL REGISTRATION BACKGROUND
Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12621000176864. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=379527.

Identifiants

pubmed: 39418647
pii: v7i1e58136
doi: 10.2196/58136
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

e58136

Informations de copyright

©Deonna Ackermann, Jolyn Hersch, Dana Jordan, Emily Clinton-Gray, Karen Bracken, Monika Janda, Robin Turner, Katy Bell. Originally published in JMIR Dermatology (http://derma.jmir.org), 17.10.2024.

Auteurs

Deonna Ackermann (D)

School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Jolyn Hersch (J)

School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Dana Jordan (D)

School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Emily Clinton-Gray (E)

School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Karen Bracken (K)

Kolling Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Monika Janda (M)

Centre for Health Services Research, The University of Queensland, Brisbane, Australia.

Robin Turner (R)

Biostatistics Centre, University of Otago, Dunedin, New Zealand.

Katy Bell (K)

School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

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Classifications MeSH