Identifying the predictors of time to diagnosis and treatment for people with cancer: a protocol for a cross-sectional survey supported by linked cancer registry data

Hannah Jongebloed, Sharina Riva, M Bechelli, S Evans, Rebecca Bergin, Anna Chapman, T Botha, Helena Rodi, S Boffa, Charlene Wright, M Conlin, E Lavcanski, L te Marvelde, Laura Alston, A Wong Shee, Trish Livingston, Vicki White, Lan Gao, Skye Marshall, Anna Ugalde

Open source

DOI: 10.26187/deakin.34906887
Published: 2026
Container: Not recorded
Publisher: Deakin University
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.26187/deakin.34906887,
  title = {Identifying the predictors of time to diagnosis and treatment for people with cancer: a protocol for a cross-sectional survey supported by linked cancer registry data},
  author = {Hannah Jongebloed and Sharina Riva and M Bechelli and S Evans and Rebecca Bergin and Anna Chapman and T Botha and Helena Rodi and S Boffa and Charlene Wright and M Conlin and E Lavcanski and L te Marvelde and Laura Alston and A Wong Shee and Trish Livingston and Vicki White and Lan Gao and Skye Marshall and Anna Ugalde},
  year = {2026},
  doi = {10.26187/deakin.34906887},
  url = {https://doi.org/10.26187/deakin.34906887}
}

RIS

TY  - JOUR
TI  - Identifying the predictors of time to diagnosis and treatment for people with cancer: a protocol for a cross-sectional survey supported by linked cancer registry data
AU  - Hannah Jongebloed
AU  - Sharina Riva
AU  - M Bechelli
AU  - S Evans
AU  - Rebecca Bergin
AU  - Anna Chapman
AU  - T Botha
AU  - Helena Rodi
AU  - S Boffa
AU  - Charlene Wright
AU  - M Conlin
AU  - E Lavcanski
AU  - L te Marvelde
AU  - Laura Alston
AU  - A Wong Shee
AU  - Trish Livingston
AU  - Vicki White
AU  - Lan Gao
AU  - Skye Marshall
AU  - Anna Ugalde
PY  - 2026
DO  - 10.26187/deakin.34906887
UR  - https://doi.org/10.26187/deakin.34906887
ER  -

APA

Jongebloed, H., Riva, S., Bechelli, M., Evans, S., Bergin, R., Chapman, A., Botha, T., Rodi, H., Boffa, S., Wright, C., Conlin, M., Lavcanski, E., Marvelde, L. T., Alston, L., Shee, A. W., Livingston, T., White, V., Gao, L., Marshall, S., & Ugalde, A. (2026). Identifying the predictors of time to diagnosis and treatment for people with cancer: a protocol for a cross-sectional survey supported by linked cancer registry data. https://doi.org/10.26187/deakin.34906887

Source records

datacite · retrieved 2026-11-09T08:56:40.767Z