Evidence map›Paper›PMID 32521710›Full record

ReviewInternational journal of environmental research and public health2020

A Review of Models Used for Investigating Barriers to Healthcare Access in Australia.

Nagesh Shukla, Biswajeet Pradhan, Abhirup Dikshit, Subrata Chakraborty, Abdullah M Alamri

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Housing Australian Children: A Snapshot of Health Inequities in the First 2000 Days.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
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  7. Observational
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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

5 authors.

Nagesh ShuklaCentre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia.
Biswajeet PradhanCentre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia.ORCID 0000-0001-9863-2054
Abhirup DikshitCentre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia.ORCID 0000-0003-2876-4080
Subrata ChakrabortyCentre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia.ORCID 0000-0002-0102-5424
Abdullah M AlamriDepartment of Geology & Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding barriers to healthcare access is a multifaceted challenge, which is often highly diverse depending on location and the prevalent surroundings. The barriers can range from transport accessibility to socio-economic conditions, ethnicity and various patient characteristics. Australia has one of the best healthcare systems in the world; however, there are several concerns surrounding its accessibility, primarily due to the vast geographical area it encompasses. This review study is an attempt to understand the various modeling approaches used by researchers to analyze diverse barriers related to specific disease types and the various areal distributions in the country. In terms of barriers, the most affected people are those living in rural and remote parts, and the situation is even worse for indigenous people. These models have mostly focused on the use of statistical models and spatial modeling. The review reveals that most of the focus has been on cancer-related studies and understanding accessibility among the rural and urban population. Future work should focus on further categorizing the population based on indigeneity, migration status and the use of advanced computational models. This article should not be considered an exhaustive review of every aspect as each section deserves a separate review of its own. However, it highlights all the key points, covered under several facets which can be used by researchers and policymakers to understand the current limitations and the steps that need to be taken to improve health accessibility.

Indexed as

Health Services AccessibilityRural PopulationAustraliaHumansModels, StatisticalPopulation Groupsaccess barrierhealth outcomemodelreview

Identifiers

PMID32521710
PMCPMC7312585

What OpenQuestion holds

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LicenceCC BY
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.