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Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper
INTRODUCTION: Australia has the highest incidence of melanoma in the world with variable care provided by a diverse range of clinicians. Clinical quality registries aim to identify these variations in care and provide anonymised, benchmarked feedback to clinicians and institutions to improve patient...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442481/ https://www.ncbi.nlm.nih.gov/pubmed/36691164 http://dx.doi.org/10.1136/bmjopen-2022-062139 |
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author | Jobson, Dale Roffey, Benjamin Best, Renee Button-Sloan, Alison Cossio, Danica Evans, Sue Shang, Catherine Moore, Julie Arnold, Christopher Mann, Graham Shackleton, Mark Soyer, H Peter Morton, Rachel L Zalcberg, John Mar, Victoria |
author_facet | Jobson, Dale Roffey, Benjamin Best, Renee Button-Sloan, Alison Cossio, Danica Evans, Sue Shang, Catherine Moore, Julie Arnold, Christopher Mann, Graham Shackleton, Mark Soyer, H Peter Morton, Rachel L Zalcberg, John Mar, Victoria |
author_sort | Jobson, Dale |
collection | PubMed |
description | INTRODUCTION: Australia has the highest incidence of melanoma in the world with variable care provided by a diverse range of clinicians. Clinical quality registries aim to identify these variations in care and provide anonymised, benchmarked feedback to clinicians and institutions to improve patient outcomes. The Australian Melanoma Clinical Outcomes Registry (MelCOR) aims to collect population-wide, clinical-level data for the early management of cutaneous melanoma and provide anonymised feedback to healthcare providers. METHODS AND ANALYSIS: A modified Delphi process will be undertaken to identify key clinical quality indicators for inclusion in the MelCOR pilot. MelCOR will prospectively collect data relevant to these quality indicators, initially for all people over the age of 18 years living in Victoria and Queensland with a melanoma diagnosis confirmed by histopathology, via a two-stage recruitment and consent process. In stage 1, existing State-based cancer registries contact the treating clinician and provide an opportunity for them to opt themselves or their patients out of direct contact with MelCOR. After stage 1, re-identifiable clinical data are provided to the MelCOR under a waiver of consent. In stage 2, the State-based cancer registry will approach the patient directly and invite them to opt in to MelCOR and share identifiable data. If a patient elects to opt in, MelCOR will be able to contact patients directly to collect patient-reported outcome measures. Aggregated data will be used to provide benchmarked, comparative feedback to participating institutions/clinicians. ETHICS AND DISSEMINATION: Following the successful collection of pilot data, the feasibility of an Australia-wide roll out will be evaluated. Key quality indicator data will be the core of the MelCOR dataset, with additional data points added later. Annual reports will be issued, first to the relevant stakeholders followed by the public. MelCOR is approved by the Alfred Ethics Committee (58280/127/20). |
format | Online Article Text |
id | pubmed-9442481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-94424812022-09-14 Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper Jobson, Dale Roffey, Benjamin Best, Renee Button-Sloan, Alison Cossio, Danica Evans, Sue Shang, Catherine Moore, Julie Arnold, Christopher Mann, Graham Shackleton, Mark Soyer, H Peter Morton, Rachel L Zalcberg, John Mar, Victoria BMJ Open Health Informatics INTRODUCTION: Australia has the highest incidence of melanoma in the world with variable care provided by a diverse range of clinicians. Clinical quality registries aim to identify these variations in care and provide anonymised, benchmarked feedback to clinicians and institutions to improve patient outcomes. The Australian Melanoma Clinical Outcomes Registry (MelCOR) aims to collect population-wide, clinical-level data for the early management of cutaneous melanoma and provide anonymised feedback to healthcare providers. METHODS AND ANALYSIS: A modified Delphi process will be undertaken to identify key clinical quality indicators for inclusion in the MelCOR pilot. MelCOR will prospectively collect data relevant to these quality indicators, initially for all people over the age of 18 years living in Victoria and Queensland with a melanoma diagnosis confirmed by histopathology, via a two-stage recruitment and consent process. In stage 1, existing State-based cancer registries contact the treating clinician and provide an opportunity for them to opt themselves or their patients out of direct contact with MelCOR. After stage 1, re-identifiable clinical data are provided to the MelCOR under a waiver of consent. In stage 2, the State-based cancer registry will approach the patient directly and invite them to opt in to MelCOR and share identifiable data. If a patient elects to opt in, MelCOR will be able to contact patients directly to collect patient-reported outcome measures. Aggregated data will be used to provide benchmarked, comparative feedback to participating institutions/clinicians. ETHICS AND DISSEMINATION: Following the successful collection of pilot data, the feasibility of an Australia-wide roll out will be evaluated. Key quality indicator data will be the core of the MelCOR dataset, with additional data points added later. Annual reports will be issued, first to the relevant stakeholders followed by the public. MelCOR is approved by the Alfred Ethics Committee (58280/127/20). BMJ Publishing Group 2022-09-02 /pmc/articles/PMC9442481/ /pubmed/36691164 http://dx.doi.org/10.1136/bmjopen-2022-062139 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Informatics Jobson, Dale Roffey, Benjamin Best, Renee Button-Sloan, Alison Cossio, Danica Evans, Sue Shang, Catherine Moore, Julie Arnold, Christopher Mann, Graham Shackleton, Mark Soyer, H Peter Morton, Rachel L Zalcberg, John Mar, Victoria Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper |
title | Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper |
title_full | Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper |
title_fullStr | Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper |
title_full_unstemmed | Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper |
title_short | Developing an Australian Melanoma Clinical Outcomes Registry (MelCOR): a protocol paper |
title_sort | developing an australian melanoma clinical outcomes registry (melcor): a protocol paper |
topic | Health Informatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442481/ https://www.ncbi.nlm.nih.gov/pubmed/36691164 http://dx.doi.org/10.1136/bmjopen-2022-062139 |
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