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      Can patient-led surveillance detect subsequent new primary or recurrent melanomas and reduce the need for routinely scheduled follow-up? A protocol for the MEL-SELF randomised controlled trial

      research-article
      1 , 2 , 3 , 4 , 1 , 5 , 3 , 5 , 6 , 2 , 3 , 1 , 1 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 3 , 7 , 13 , 14 , 14 , 1 , 5 , 15 , 16 , 3 , 7 , 13 , 3 , 7 , 17 , 18 , 19 , 18 , 19 , 1 ,
      Trials
      BioMed Central
      Melanoma, Cancer surveillance, Early detection of cancer, Self-examination, Teledermoscopy, Telehealth, Randomised controlled trial, Health services research

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          Abstract

          Background

          Most subsequent new primary or recurrent melanomas might be self-detected if patients are trained to systematically self-examine their skin and have access to timely medical review (patient-led surveillance). Routinely scheduled clinic visits (clinician-led surveillance) is resource-intensive and has not been shown to improve health outcomes; fewer visits may be possible if patient-led surveillance is shown to be safe and effective. The MEL-SELF trial is a randomised controlled trial comparing patient-led surveillance with clinician-led surveillance in people who have been previously treated for localised melanoma.

          Methods

          Stage 0/I/II melanoma patients ( n = 600) from dermatology, surgical, or general practice clinics in NSW Australia, will be randomised (1:1) to the intervention (patient-led surveillance, n = 300) or control (usual care, n = 300). Patients in the intervention will undergo a second randomisation 1:1 to polarised ( n = 150) or non-polarised ( n = 150) dermatoscope. Patient-led surveillance comprises an educational booklet, skin self-examination (SSE) instructional videos; 3-monthly email/SMS reminders to perform SSE; patient-performed dermoscopy with teledermatologist feedback; clinical review of positive teledermoscopy through fast-tracked unscheduled clinic visits; and routinely scheduled clinic visits following each clinician’s usual practice. Clinician-led surveillance comprises an educational booklet and routinely scheduled clinic visits following each clinician’s usual practice.

          The primary outcome, measured at 12 months, is the proportion of participants diagnosed with a subsequent new primary or recurrent melanoma at an unscheduled clinic visit. Secondary outcomes include time from randomisation to diagnosis (of a subsequent new primary or recurrent melanoma and of a new keratinocyte cancer), clinicopathological characteristics of subsequent new primary or recurrent melanomas (including AJCC stage), psychological outcomes, and healthcare use. A nested qualitative study will include interviews with patients and clinicians, and a costing study we will compare costs from a societal perspective. We will compare the technical performance of two different models of dermatoscope (polarised vs non-polarised).

          Discussion

          The findings from this study may inform guidance on evidence-based follow-up care, that maximises early detection of subsequent new primary or recurrent melanoma and patient wellbeing, while minimising costs to patients, health systems, and society.

          Trial registration

          Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12621000176864. Registered on 18 February 2021.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13063-021-05231-7.

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          Most cited references50

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The REDCap consortium: Building an international community of software platform partners

            The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses: Second Panel on Cost-Effectiveness in Health and Medicine.

              Since publication of the report by the Panel on Cost-Effectiveness in Health and Medicine in 1996, researchers have advanced the methods of cost-effectiveness analysis, and policy makers have experimented with its application. The need to deliver health care efficiently and the importance of using analytic techniques to understand the clinical and economic consequences of strategies to improve health have increased in recent years.
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                Author and article information

                Contributors
                katy.bell@sydney.edu.au
                Journal
                Trials
                Trials
                Trials
                BioMed Central (London )
                1745-6215
                4 May 2021
                4 May 2021
                2021
                : 22
                : 324
                Affiliations
                [1 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Sydney School of Public Health, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, Australia
                [2 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Cancer Epidemiology and Prevention Research, Sydney School of Public Health, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, Australia
                [3 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Melanoma Institute Australia, , The University of Sydney, ; Sydney, Australia
                [4 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Centre for Health Services Research, , The University of Queensland, ; Brisbane, Australia
                [5 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, NHMRC Clinical Trials Centre, , The University of Sydney, ; Sydney, Australia
                [6 ]GRID grid.29980.3a, ISNI 0000 0004 1936 7830, Biostatistics Centre, , University of Otago, ; Dunedin, New Zealand
                [7 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, Australia
                [8 ]GRID grid.413249.9, ISNI 0000 0004 0385 0051, Sydney Melanoma Diagnostic Centre, , Royal Prince Alfred Hospital, ; Sydney, Australia
                [9 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Dermatology Research Centre, The University of Queensland Diamantina Institute, , The University of Queensland, ; Brisbane, Australia
                [10 ]GRID grid.412744.0, ISNI 0000 0004 0380 2017, Department of Dermatology, , Princess Alexandra Hospital, ; Brisbane, Australia
                [11 ]GRID grid.267362.4, ISNI 0000 0004 0432 5259, Victorian Melanoma Service, , Alfred Health, ; Melbourne, Australia
                [12 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, School of Public Health and Preventive Medicine, , Monash University, ; Melbourne, Australia
                [13 ]GRID grid.413249.9, ISNI 0000 0004 0385 0051, Division of Surgery, , Royal Prince Alfred Hospital, ; Sydney, Australia
                [14 ]Cancer Voices NSW, Sydney, Australia
                [15 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, , University of Melbourne, ; Melbourne, Australia
                [16 ]GRID grid.7107.1, ISNI 0000 0004 1936 7291, Institute of Applied Health Sciences, , University of Aberdeen, ; Aberdeen, United Kingdom
                [17 ]GRID grid.413249.9, ISNI 0000 0004 0385 0051, Tissue Pathology and Diagnostic Oncology, , Royal Prince Alfred Hospital and NSW Health Pathology, ; Sydney, Australia
                [18 ]Newcastle Skin Check, Newcastle, Australia
                [19 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Faculty of Medicine, , University of Queensland, ; Brisbane, Australia
                Author information
                http://orcid.org/0000-0002-0137-3218
                Article
                5231
                10.1186/s13063-021-05231-7
                8096155
                33947444
                9bf257a1-10c7-45d0-a679-eb325319bec3
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 21 February 2021
                : 27 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: APP1163054
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2021

                Medicine
                melanoma,cancer surveillance,early detection of cancer,self-examination,teledermoscopy,telehealth,randomised controlled trial,health services research

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