Evidence map›Paper›PMID 25758997›Full record

ArticleEuropean journal of human genetics : EJHG2015

A prospective cohort study assessing clinical referral management & workforce allocation within a UK regional medical genetics service.

Caroline Benjamin, Catherine Houghton, Claire Foo, Chris Edgar, Gail Mannion, Jan Birch, Ian Ellis, Astrid Weber

Erratum issuedAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  2. Article
  3. Article
  4. Towards establishing consistency in triage in a tertiary specialty.European journal of human genetics : EJHG · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Caroline Benjamin1] Health Research Methodology and Implementation Hub (HeRMI), School of Health, University of Central Lancashire (UCLan), Preston, UK [2] Merseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.
Catherine Houghton1] Merseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK [2] Manchester Centre for Genomic Medicine, Central Manchester University Hospitals (NHS) Foundation Trust, Manchester, UK.
Claire FooMerseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.
Chris EdgarMerseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.
Gail MannionMerseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.
Jan BirchMerseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.
Ian EllisMerseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.
Astrid WeberMerseyside and Cheshire Clinical Genetics Service, Liverpool Women's (NHS) Foundation Hospital Trust, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring patient access to genomic information in the face of increasing demand requires clinicians to develop innovative ways of working. This paper presents the first empirical prospective observational cohort study of UK multi-disciplinary genetic service delivery. It describes and explores collaborative working practices including the utilisation and role of clinical geneticists and non-medical genetic counsellors. Six hundred and fifty new patients referred to a regional genetics service were tracked through 850 clinical contacts until discharge. Referral decisions regarding allocation of lead health professional assigned to the case were monitored, including the use of initial clinical contact guidelines. Significant differences were found in the cases led by genetic counsellors and those led by clinical geneticists. Around a sixth, 16.8% (109/650) of referrals were dealt with by a letter back to the referrer or re-directed to another service provider and 14.8% (80/541) of the remaining patients chose not to schedule an appointment. Of the remaining 461 patients, genetic counsellors were allocated as lead health professional for 46.2% (213/461). A further 61 patients did not attend. Of those who did, 86.3% (345/400) were discharged after one or two appointments. Genetic counsellors contributed to 95% (784/825) of total patient contacts. They provided 93.7% (395/432) of initial contacts and 26.8% (106/395) of patients were discharged at that point. The information from this study informed a planned service re-design. More research is needed to assess the effectiveness and efficiency of different models of collaborative multi-disciplinary working within genetics services.

Indexed as

Genetic CounselingGenetics, MedicalCohort StudiesGenetic Diseases, InbornHumansSurveys and QuestionnairesUnited Kingdom

Identifiers

PMID25758997
PMCPMC4795118

What OpenQuestion holds

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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.