Evidence map›Paper›PMID 26443661›Full record

ArticleBMJ open2015

Longitudinal cohort study describing persistent frequent attenders in Australian primary healthcare.

Carly Pymont, Peter Butterworth

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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

2 authors.

Carly PymontPsychiatric Epidemiology and Social Issues Unit, Centre for Research on Ageing, Health & Wellbeing, Research School for Population Health, Australian National University, Canberra, Australia.
Peter ButterworthPsychiatric Epidemiology and Social Issues Unit, Centre for Research on Ageing, Health & Wellbeing, Research School for Population Health, Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe patterns of frequent attendance in Australian primary care, and identify the prospective risk factors for persistent frequent attendance. DESIGN, SETTING AND

participantsThis study draws on data from the Personality and Total Health (PATH) Through Life Project, a representative community cohort study of residents from the Canberra region of Australia. Participants were assessed on 3 occasions over 8 years. The survey assessed respondents' experience of chronic physical conditions, self-reported health, symptoms of common mental disorders, personality, life events, sociodemographic characteristics and self-reported medication use. A balanced sample was used in analysis, comprising 1734 respondents with 3 waves of data. The survey data for each respondent were individually linked to their administrative health service use data which were used to generate an objective measure of general practitioner (GP) consultations in the 12 months surrounding their interview date.

main outcome measuresRespondents in the (approximate) highest decile of attenders on number of GP consultations over a 12-month period at each time point were defined as frequent attenders (FAs).

resultsBaseline FAs (8.4%) were responsible for 33.4% of baseline consultations, while persistent FAs (3.6%) for 15.5% of all consultations over the 3 occasions. While there was considerable movement between FA status over time, consistency was greater than expected by chance alone. While there were many factors that differentiated non-FAs from FAs in general, persistent frequent attendance was specifically associated with gender, baseline reports of depression, self-reported physical conditions and disability, and medication use.

conclusionsThe degree of persistence in GP consultations was limited. The findings of this study contribute to our understanding of the risk factors that predict subsequent persistent frequent attendance in primary care. However, further detailed investigation of longitudinal patterns of frequent attendance and consideration of time-varying determinants of frequent attendance is required.

Indexed as

Patient SatisfactionAustraliaFollow-Up StudiesHumansOffice VisitsPractice Management, MedicalPrimary Health CareProspective StudiesTime FactorsHEALTH SERVICES ADMINISTRATION & MANAGEMENTMENTAL HEALTHPRIMARY CAREQUALITATIVE RESEARCH

Identifiers

PMID26443661
PMCPMC4606421

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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.