Evidence map›Paper›PMID 25928342›Full record

ArticleBMC family practice2014

Does health literacy affect patients' receipt of preventative primary care? A multilevel analysis.

Chandni Joshi, Upali W Jayasinghe, Sharon Parker, Chris Del Mar, Grant Russell, Jane Lloyd, Danielle Mazza, Elizabeth Denney-Wilson, Mieke van Driel, Richard Taylor and 2 more

Abstract read
In one paragraph

Article in BMC family practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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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

12 authors.

Chandni JoshiCentre for Primary Health Care and Equity, University of New South Wales, Sydney, 2052, Australia. c.joshi@unsw.edu.au.
Upali W JayasingheCentre for Primary Health Care and Equity, University of New South Wales, Sydney, 2052, Australia. upali.jay@unsw.edu.au.
Sharon ParkerCentre for Primary Health Care and Equity, University of New South Wales, Sydney, 2052, Australia. sharon.parker@unsw.edu.au.
Chris Del MarCentre for Research in Evidence-Based Practice, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, 4229, Australia. cdelmar@bond.edu.au.
Grant RussellSouthern Academic Primary Care Research Unit, School of Primary Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. grant.russell@monash.edu.
Jane LloydCentre for Primary Health Care and Equity, University of New South Wales, Sydney, 2052, Australia. j.lloyd@unsw.edu.au.
Danielle MazzaDepartment of General Practice, School of Primary Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. danielle.mazza@monash.edu.
Elizabeth Denney-WilsonFaculty of Health, University of Technology, Sydney, Australia. Elizabeth.Denney-Wilson@uts.edu.au.
Mieke van DrielDiscipline of General Practice, School of Medicine, The University of Queensland, Brisbane, Australia. m.vandriel@uq.edu.au.
Richard TaylorSchool of Public Health and Community Medicine, University of New South Wales, Sydney, 2052, Australia. r.taylor@unsw.edu.au.
Mark F HarrisCentre for Primary Health Care and Equity, University of New South Wales, Sydney, 2052, Australia. m.f.harris@unsw.edu.au.
Preventive Evidence into Practice (PEP) Partnership Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with limited health literacy are more likely to be socioeconomically disadvantaged and have risk factors for preventable chronic diseases. General practice is the ideal setting to address these inequalities however these patients engage less in preventive activities and experience difficulties navigating health services. This study aimed to compare primary care patients with and without sufficient health literacy in terms of their lifestyle risk factors, and explore factors associated with receiving advice and referral for these risk factors from their GPs.

methodsA mailed survey of 739 patients from 30 general practices across four Australian states was conducted in 2012. Health literacy was measured using the Health Literacy Management Scale. Patients with a mean score of <4 within any domain were defined as having insufficient health literacy. Multilevel logistic regression was used to adjust for clustering of patients within practices.

resultsPatients with insufficient health literacy (n = 351; 48%) were more likely to report being overweight or obese, and less likely to exercise adequately. Having insufficient health literacy increased a patient's chance of receiving advice on diet, physical activity or weight management, and referral to and attendance at lifestyle modification programs. Not speaking English at home; being overweight or obese; and attending a small sized practice also increased patients' chances of receiving advice on these lifestyle risks. Few (5%, n = 37) of all patients reported being referred to lifestyle modification program and of those around three-quarters had insufficient health literacy. Overweight or obese patients were more likely to be referred to lifestyle modification programs and patients not in paid employment were more likely to be referred to and attend lifestyle programs.

conclusionPatients with insufficient health literacy were more likely to report receiving advice and being referred by GPs to attend lifestyle modification. Although the number of patients referred from this sample was very low, these findings are positive in that they indicate that GPs are identifying patients with low health literacy and appropriately referring them for assistance with lifestyle modification. Future research should measure the effectiveness of these lifestyle programs for patients with low health literacy.

Indexed as

AdultAgedAustraliaCounselingExerciseFemaleHealthcare DisparitiesHealth LiteracyHumansMaleMiddle AgedMultilevel AnalysisObesityOverweightPreventive Health ServicesPrimary Health Care

Identifiers

PMID25928342
PMCPMC4212097

What OpenQuestion holds

Textmetadata
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.