Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study

Objective To characterise diagnostic pathways for patients with melanoma in routine practice and compare patient, disease and diagnostic interval (DI) characteristics across pathways.Design Descriptive cross-sectional study using administrative health data.Setting Population-based study in Ontario,...

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Main Authors: Frances C Wright, Timothy P Hanna, Patti A Groome, Nicole J Look Hong, Meaghan E Mavor, Yuka Asai, Hugh Langley
Format: Article
Language:English
Published: BMJ Publishing Group 2025-01-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/1/e086140.full
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author Frances C Wright
Timothy P Hanna
Patti A Groome
Nicole J Look Hong
Meaghan E Mavor
Yuka Asai
Hugh Langley
author_facet Frances C Wright
Timothy P Hanna
Patti A Groome
Nicole J Look Hong
Meaghan E Mavor
Yuka Asai
Hugh Langley
author_sort Frances C Wright
collection DOAJ
description Objective To characterise diagnostic pathways for patients with melanoma in routine practice and compare patient, disease and diagnostic interval (DI) characteristics across pathways.Design Descriptive cross-sectional study using administrative health data.Setting Population-based study in Ontario, Canada.Participants Patients with melanoma diagnosed from 2007 to 2019.Main outcome measures We used latent class cluster analysis to create clusters of patients with similar diagnostic experiences to characterise diagnostic pathways in routine practice. Indicator variables characterised the patient’s keratinocyte carcinoma and dermatologist history, presentation pattern, procedure types, number of visits and procedures, and the activity on the diagnosis date. χ2 tests and Pearson residuals were used. We characterised clusters by the lengths of their DI, primary care subinterval and specialist care subinterval.Results There were 33 371 patients diagnosed with melanoma from 2007 to 2019. We identified four diagnostic pathways: ‘primary care only’ (n=6107), ‘referred to specialist with immediate action’ (n=8987), ‘multiple visits and procedures in specialist care’ (n=11 893) and ‘specialist care only’ (n=6384). Patient, disease and DI characteristics varied across pathways. Pathway types varied regionally. A higher proportion in the ‘primary care only’ pathway lived in rural areas whereas a higher proportion in the ‘referred to specialist for immediate action’ and the ‘specialist care only’ pathways lived in major urban centres. Across pathways, the median DI varied from 1 to 67 days, the median primary care subinterval varied from 1 to 30 days and the median specialist care subinterval varied from 1 to 25 days. Patients in the ‘primary care only’ pathway experienced the shortest DIs, and patients in the ‘multiple visits and procedures in specialist care’ pathway experienced the longest DIs.Conclusions and relevance We identified four melanoma diagnostic pathways. The shortest DI, the ‘primary care only’ pathway, highlights the important role of primary care and the need to reduce the wait for specialists. Diagnostic processes varied across geographical locations. Future research should address reasons for these differences, including whether they are associated with inefficient or inappropriate care.
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spelling doaj-art-501a43bae1fd4354b3556c74d24952602025-02-01T04:10:10ZengBMJ Publishing GroupBMJ Open2044-60552025-01-0115110.1136/bmjopen-2024-086140Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based studyFrances C Wright0Timothy P Hanna1Patti A Groome2Nicole J Look Hong3Meaghan E Mavor4Yuka Asai5Hugh Langley6Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, CanadaDivision of Cancer Care and Epidemiology, Sinclair Cancer Research Institute, Queen`s University, Kingston, Ontario, CanadaDivision of Cancer Care and Epidemiology, Sinclair Cancer Research Institute, Queen`s University, Kingston, Ontario, CanadaDepartment of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, CanadaDivision of Cancer Care and Epidemiology, Sinclair Cancer Research Institute, Queen`s University, Kingston, Ontario, CanadaDivision of Dermatology, Department of Medicine, Queen`s University, Kingston, Ontario, CanadaDepartment of Oncology, Queen`s University, Kingston, Ontario, CanadaObjective To characterise diagnostic pathways for patients with melanoma in routine practice and compare patient, disease and diagnostic interval (DI) characteristics across pathways.Design Descriptive cross-sectional study using administrative health data.Setting Population-based study in Ontario, Canada.Participants Patients with melanoma diagnosed from 2007 to 2019.Main outcome measures We used latent class cluster analysis to create clusters of patients with similar diagnostic experiences to characterise diagnostic pathways in routine practice. Indicator variables characterised the patient’s keratinocyte carcinoma and dermatologist history, presentation pattern, procedure types, number of visits and procedures, and the activity on the diagnosis date. χ2 tests and Pearson residuals were used. We characterised clusters by the lengths of their DI, primary care subinterval and specialist care subinterval.Results There were 33 371 patients diagnosed with melanoma from 2007 to 2019. We identified four diagnostic pathways: ‘primary care only’ (n=6107), ‘referred to specialist with immediate action’ (n=8987), ‘multiple visits and procedures in specialist care’ (n=11 893) and ‘specialist care only’ (n=6384). Patient, disease and DI characteristics varied across pathways. Pathway types varied regionally. A higher proportion in the ‘primary care only’ pathway lived in rural areas whereas a higher proportion in the ‘referred to specialist for immediate action’ and the ‘specialist care only’ pathways lived in major urban centres. Across pathways, the median DI varied from 1 to 67 days, the median primary care subinterval varied from 1 to 30 days and the median specialist care subinterval varied from 1 to 25 days. Patients in the ‘primary care only’ pathway experienced the shortest DIs, and patients in the ‘multiple visits and procedures in specialist care’ pathway experienced the longest DIs.Conclusions and relevance We identified four melanoma diagnostic pathways. The shortest DI, the ‘primary care only’ pathway, highlights the important role of primary care and the need to reduce the wait for specialists. Diagnostic processes varied across geographical locations. Future research should address reasons for these differences, including whether they are associated with inefficient or inappropriate care.https://bmjopen.bmj.com/content/15/1/e086140.full
spellingShingle Frances C Wright
Timothy P Hanna
Patti A Groome
Nicole J Look Hong
Meaghan E Mavor
Yuka Asai
Hugh Langley
Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study
BMJ Open
title Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study
title_full Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study
title_fullStr Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study
title_full_unstemmed Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study
title_short Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study
title_sort characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in ontario canada a population based study
url https://bmjopen.bmj.com/content/15/1/e086140.full
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