Evidence map›Paper›PMID 28119391›Full record

ArticleBMJ open2017

Quantifying Queensland patients with cancer health service usage and costs: study protocol.

Emily Callander, Stephanie M Topp, Sarah Larkins, Sabe Sabesan, Nicole Bates

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. End-of-life healthcare use and associated costs for First Nations Australians diagnosed with cancer in Queensland, Australia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  4. Article
  5. Article
  6. DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study.International journal of environmental research and public health · 2023
    Article
  7. Quantifying the hospital and emergency department costs for women diagnosed with breast cancer in Queensland.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Emily CallanderAustralian Institute of Tropical Health and Medicine (AITHM), James Cook University, Townsville, Queensland, Australia.
Stephanie M ToppAustralian Institute of Tropical Health and Medicine (AITHM), James Cook University, Townsville, Queensland, Australia.
Sarah LarkinsAustralian Institute of Tropical Health and Medicine (AITHM), James Cook University, Townsville, Queensland, Australia.
Sabe SabesanCollege of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia.
Nicole BatesCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia.ORCID 0000-0002-9628-1462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe overall mortality rate for cancer has declined in Australia. However, socioeconomic inequalities exist and the out-of-pocket costs incurred by patients in Australia are high compared with some European countries. There is currently no readily available data set to provide a systematic means of measuring the out-of-pocket costs incurred by patients with cancer within Australia. The primary aim of the project is to quantify the direct out-of-pocket healthcare expenditure of individuals in the state of Queensland, who are diagnosed with cancer. METHODS AND ANALYSIS: This project will build Australia's first model (called CancerCostMod) of out-of-pocket healthcare expenditure of patients with cancer using administrative data from Queensland Cancer Registry, for all individuals diagnosed with any cancer in Queensland between 1 July 2011 and 30 June 2012, linked to their Admitted Patient Data Collection, Emergency Department Information System, Medicare Benefits Schedule and Pharmaceutical Benefits Scheme records from 1 July 2011 to 30 June 2015. No identifiable information will be provided to the authors. The project will use a combination of linear and logistic regression modelling, Cox proportional hazards modelling and machine learning to identify differences in survival, total health system expenditure, total out-of-pocket expenditure and high out-of-pocket cost patients, adjusting for demographic and clinical confounders, and income group, Indigenous status and geographic location. Results will be analysed separately for different types of cancer. ETHICS AND DISSEMINATION: Human Research Ethics approval has been obtained from the Townsville Hospital and Health Service Human Research Ethics Committee (HREC/16/QTHS/110) and James Cook University Human Research Ethics Committee (H6678). Permission to waive consent has been sought from Queensland Health under the Public Health Act 2005.

Indexed as

Health ExpendituresEthnicityHealth ServicesHumansIncomeLinear ModelsNeoplasmsQueenslandSocioeconomic FactorsWhite PeopleCancerHealth service useInequitiesPatient costs

Identifiers

PMID28119391
PMCPMC5278294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.