Evidence map›Paper›PMID 30165836›Full record

ArticleBMC public health2018

Health behaviours of Australian men and the likelihood of attending a dedicated men's health service.

Andrew D Vincent, Phoebe G Drioli-Phillips, Jana Le, Lynette Cusack, Timothy J Schultz, Margaret A McGee, Deborah A Turnbull, Gary A Wittert

Abstract 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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

8 authors.

Andrew D VincentFreemasons Foundation Centre for Men's Health, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.
Phoebe G Drioli-PhillipsFreemasons Foundation Centre for Men's Health, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.
Jana LeFreemasons Foundation Centre for Men's Health, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.
Lynette CusackAdelaide Nursing School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.
Timothy J SchultzAdelaide Nursing School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.
Margaret A McGeeFreemasons Foundation Centre for Men's Health, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005. margaret.mcgee@adelaide.edu.au.ORCID http://orcid.org/0000-0002-0816-518X
Deborah A TurnbullFreemasons Foundation Centre for Men's Health, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.
Gary A WittertFreemasons Foundation Centre for Men's Health, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005.

Funding

The South Australian Department of Health, Minister's Men's Health Program N/A
6 · The paper itself

Abstract

backgroundRedesigning primary health services may enhance timely and effective uptake by men. The primary aim of this study was to assess the likelihood of Australian men attending a dedicated men's health service (DMHS). The further aims were to better understand the reasons for their preferences and determine how health behaviours influence likelihood.

methodsA survey on health service use and preferences, health help-seeking behaviours, and the likelihood of attending a DMHS was administered by telephone to 1506 randomly selected men (median age 56 years, range 19-95). Likelihood of attending a DMHS was rated using a single item Likert scale where 0 was not at all likely and 10 highly likely. Respondents were classified by age (< or > = 65 years) and health status. Principal component analyses were used to define health behaviours, specifically help-seeking and delay/avoidance regarding visiting a doctor. Multivariable linear and logistic regression analyses were used to examine predictors of likelihood of attending a DMHS.

resultsThe mean likelihood of attending a DMHS was 5.8 (SD 3.3, median 6, moderate likelihood) and 21%, 26% and 23% of men rated likelihood as moderate, high and very high respectively. Being happy with their existing doctor was the most common reason (52%) for being less likely to attend a DMHS. In unadjusted analyses, younger men reported being more likely to attend a DMHS (p < 0.001) with older-sick men reporting being least likely (p < 0.001). Younger men were more likely than older men to score higher on delay/avoidance and were more likely to self-monitor. In the full model, men with current health concerns (p ≤ 0.01), who scored higher on delay/avoidance (p ≤ 0.0006), who were more likely to be information-seekers (p < 0.0001) and/or were motivated to change their health (p ≤ 0.0001) reported a higher likelihood of attending a DMHS irrespective of age and health status.

conclusionsSeventy percent of men reported a moderate or higher likelihood of attending a DMHS. As young healthy men are more likely than older men to display health behaviours that are associated with a higher likelihood of attending a DHMS, such as delay/avoidance, marketing a DMHS to such men may be of value.

Indexed as

Health BehaviorHelp-Seeking BehaviorMen's HealthAdultAgedAged, 80 and overAustraliaHealth Care SurveysHealth ServicesHumansMaleMiddle AgedProbabilityYoung AdultHealth behavioursHealth help-seekingHealth servicesmen’s health

Identifiers

PMID30165836
PMCPMC6117954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.