Evidence map›Paper›PMID 29976166›Full record

ArticleBMC public health2018

Determinants of utilisation rates of preventive health services: evidence from Chile.

Elena S Rotarou, Dikaios Sakellariou

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Elena S RotarouDepartment of Economics, University of Chile, Diagonal Paraguay 257, Office 1506, 8330015, Santiago, Chile.
Dikaios SakellariouCardiff University, School of Healthcare Sciences, Eastgate House, Newport Road 35-43, Cardiff, CF24 0AB, UK. sakellarioud@cardiff.ac.uk.ORCID 0000-0002-2668-2834
Cardiff University · GBUniversity of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreventive health services play a vital role in population health. However, access to such services is not always equitably distributed. In this article, we examine the barriers affecting utilisation rates of preventive health services, using Chile as a case study.

methodsWe conducted a cross-sectional study analysing secondary data from 206,132 Chilean adults, taken from the 2015 National Socioeconomic Characterisation Survey of the Government of Chile. We carried out logistic regressions to explore the relationship between the dependent variable use of preventive services and various demographic and socioeconomic variables.

resultsCategories more likely to use preventive services were women (OR=1.16; 95%CI: 1.11-1.21) and inactive people (OR=1.41; 95%CI: 1.33-1.48). By contrast, single individuals (OR= 0.85 ; 95%CI: 0.80-0.91) and those affiliated with the private healthcare provider (OR= 0.89; 95%CI: 0.81-0.96) had fewer odds of undertaking preventive exams.

conclusionsThe findings underline the necessity of better information campaigns on the availability and necessity of preventive health services, addressing health inequality in accessing health services, and tackling lifestyle-related health risks. This is particularly important in countries - such as Chile - characterised by high income inequality and low utilisation rates of preventive health services.

Indexed as

AdolescentAdultAgedChileCross-Sectional StudiesFemaleHealthcare DisparitiesHumansMaleMiddle AgedPreventive Health ServicesSocioeconomic FactorsYoung AdultChileHealthcareHealth inequalityPreventive health servicesPrivate health providerPublic health provider

Identifiers

PMID29976166
PMCPMC6034328
OpenAlexW2810109786

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.