Evidence map›Paper›PMID 26223584›Full record

ArticleJournal of evaluation in clinical practice2016

Optimizing the pre-referral workup for gastroenterology and hepatology specialty care: consensus using the Delphi method.

Chanda K Ho, Christy K Boscardin, Nathaniel Gleason, Don Collado, Jonathan Terdiman, Norah A Terrault, Ralph Gonzales

Abstract read
In one paragraph

Article in Journal of evaluation in clinical practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  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
  2. Review
  3. Article
  4. Article
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

7 authors.

Chanda K HoDivision of Gastroenterology and Hepatology, Department of Medicine, University of California, San Francisco, CA, USA.
Christy K BoscardinDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, USA.
Nathaniel GleasonDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, USA.
Don ColladoDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, USA.
Jonathan TerdimanDivision of Gastroenterology and Hepatology, Department of Medicine, University of California, San Francisco, CA, USA.
Norah A TerraultDivision of Gastroenterology and Hepatology, Department of Medicine, University of California, San Francisco, CA, USA.
Ralph GonzalesDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, USA.

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
NRSA Hepatology Training GrantT32DK060414 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mandana Khalili, JACQUELYN J. MAHER · 2002 to 2026
$6.8M
NIDDK NIH HHS P30 DK026743NIDDK NIH HHS T32 DK060414
6 · The paper itself

Abstract

RATIONALE, AIMS AND

objectivesSpecialty care referrals have doubled in the last decade. Optimization of the pre-referral workup by a primary care doctor can lead to a more efficient first specialty visit with the patient. Guidance regarding pre-referral laboratory testing is a first step towards improving the specialty referral process. Our aim was to establish consensus regarding appropriate pre-referral workup for common gastrointestinal and liver conditions.

methodsThe Delphi method was used to establish local consensus for recommending certain laboratory tests prior to specialty referral for 13 clinical conditions. Seven conditions from The University of Michigan outpatient referral guidelines were used as a baseline. An expert panel of three PCPs and nine gastroenterologists from three academic hospitals participated in three iterative rounds of electronic surveys. Each panellist ranked each test using a 5-point Likert scale (strongly disagree to strongly agree). Local panellists could recommend additional tests for the initial diagnoses, and also recommended additional diagnoses needing guidelines: iron deficiency anaemia, abdominal pain, irritable bowel syndrome, fatty liver disease, liver mass and cirrhosis. Consensus was defined as ≥70% of experts scoring ≥4 (agree or strongly agree).

resultsApplying Delphi methodology to extrapolate externally developed referral guidelines for local implementation resulted in considerable modifications. For some conditions, many tests from the external group were eliminated by the local group (abdominal bloating; iron deficiency anaemia; irritable bowel syndrome). In contrast, for chronic diarrhoea, abnormal liver enzymes and viral hepatitis, all/most original tests were retained with additional tests added. For liver mass, fatty liver disease and cirrhosis, there was high concordance among the panel with few tests added or eliminated.

conclusionsConsideration of externally developed referral guidelines using a consensus-building process leads to significant local tailoring and adaption. Our next steps include implementation and dissemination of these guidelines and evaluating their impact on care efficiency in clinical practice.

Indexed as

Diagnostic Tests, RoutineGastroenterologyReferral and ConsultationSpecializationAdultConsensusDelphi TechniqueFemaleGastrointestinal DiseasesHumansLiverMaleMiddle AgedSurveys and QuestionnairesconsensusDelphi methodreferral guidelinesreferralsspecialty carespecialty referrals

Identifiers

PMID26223584
PMCPMC4809777

What OpenQuestion holds

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LicenceTDM
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.