Evidence map›Paper›PMID 31440086›Full record

ArticleCancer management and research2019

Predictors of health care use in Australian cancer patients.

Rezwanul Hasan Rana, Khorshed Alam, Jeff Gow, Nicholas Ralph

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 23% of its field
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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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
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  11. The utilization of allied and community health services by cancer patients living in regional and remote geographical areas in Australia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
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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

4 authors at 1 institution in 2 countries.

Rezwanul Hasan RanaSchool of Commerce, University of Southern Queensland, Toowoomba, Australia.ORCID 0000-0002-3347-3205
Khorshed AlamSchool of Commerce, University of Southern Queensland, Toowoomba, Australia.ORCID 0000-0003-2232-0745
Jeff GowSchool of Commerce, University of Southern Queensland, Toowoomba, Australia.ORCID 0000-0002-5726-298X
Nicholas RalphHealth Systems & Psycho-Oncology, Cancer Council Queensland, Queensland, Australia.
University of Southern Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study is to measure health care utilization in Australian cancer patients based on their demographic, geographic and socioeconomic backgrounds.

methodA total of 13,609 participants (aged 15 and over) from 7,230 households were interviewed as part of Wave 13 of the national Household, Income and Labour Dynamics in Australia (HILDA) survey. Five hundred and seventeen participants indicated a current cancer diagnosis with 90% of those receiving active treatment at the time of interview. Independent sample t-tests, Pearson Chi-sq tests, Kruskal‒Wallis H test, binary logistic regression and a zero-inflated Poisson regression were used to examine inequality in health care use.

resultsDemographic and sociocultural factors such as advancing age, gender, low income, low education status, rurality, no private health insurance, increased psychological distress and less access to specialist care are associated with lower health care utilization among cancer patients. However, models of care such as general practitioner-led cancer care is preferable in younger individuals with cancer, while accessing specialist care is associated with lower rates of hospitalization and higher levels of psychological distress increases hospital length of stay.

conclusionsThe findings of lower health care utilization by those cancer patients with characteristics of disadvantage have implications for policy development and intervention design. Broadly, policies targeting structural social inequities are likely to increase health care utilization among the most affected/disadvantaged populations. Further investigation is needed to identify potential links between health care utilization and cancer outcomes as a step toward targeted interventions for improving outcomes in the adversely affected groups.

Indexed as

cancerhealth care utilizationHILDAinequalityprimary preventive carepsychological distress

Identifiers

PMID31440086
PMCPMC6664209
OpenAlexW2963975953

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.