Evidence map›Paper›PMID 21667328›Full record

ArticleIrish journal of medical science2011

Who goes where? A prospective study of referral patterns within a newly established primary care team.

E Coyle, K Hanley, J Sheerin

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Article in Irish journal of medical science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022
    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

3 authors at 1 institution in 1 country.

E CoyleDonegal Specialist General Practice Training Scheme, St Conal's Hospital, Letterkenny, Co. Donegal, Ireland. eamonncoyle@yahoo.com
K Hanley
J Sheerin
St. Conal's Psychiatric Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the introduction of primary care teams, referral patterns of General Practitioners (GPs) in Ireland have not been studied.

aimsTo study the referral patterns of GPs within a primary care team (PCT) to allied health care professionals in a PCT and to secondary care. To identify indirect referral pathways. To study variation in individual GP referral patterns.

methodQuestionnaire based survey. Statistical analysis was carried out using Epi Info version 3.5.1.

resultsOf 3,166 consultations, 2,841 (89.7%) were dealt with by the GP and required no referral, 107 (3.4%) were referred within the PCT, and 218 (6.9%) were referred elsewhere. Therefore, 93.1% of consultations were managed in primary care alone. Ninety percent of GPs refer patients to the PCT. Indirect referrals constituted 17% of all outpatient referrals. Females have significantly higher referral rates than males. Referral rates of GPs in single-handed practices are higher than GPs in group practices.

conclusionsGPs alone can manage the vast majority of presentations in general practice. Greater GP access to diagnostic and therapeutic interventions may reduce outpatient referrals. GPs in group practices may collectively have greater experience and expertise and therefore can manage more patients in primary care. There is a significant variation in referral rates between both genders.

Indexed as

FemaleGeneral PracticeHumansIrelandMalePrimary Health CareProspective StudiesReferral and Consultation

Identifiers

PMID21667328
OpenAlexW2049449165

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.