Evidence map›Paper›PMID 25623810›Full record

ArticleArthritis care & research2015

Efficiency Gains for Rheumatology Consultation Using a Novel Electronic Referral System in a Safety-Net Health Setting.

Meghan M Scheibe, John B Imboden, Gabriela Schmajuk, Mary Margaretten, Jonathan D Graf, Alice H Chen, Edward H Yelin, Jinoos Yazdany

Abstract read
In one paragraph

Article in Arthritis care & research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Electronic consultations (E-consults) and their outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Managing patients using telerheumatology: Lessons from a pandemic.Best practice & research. Clinical rheumatology · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Electronic referral systems in health care: a scoping review.ClinicoEconomics and outcomes research : CEOR · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors.

Meghan M ScheibeCalifornia Pacific Medical Center, San Francisco, and University of Minnesota, Minneapolis.
John B ImbodenUniversity of California, San Francisco.
Gabriela SchmajukVeterans Administration, San Francisco, California.
Mary MargarettenUniversity of California, San Francisco.
Jonathan D GrafUniversity of California, San Francisco.
Alice H ChenUniversity of California, San Francisco.
Edward H YelinPhillip R. Lee Institute for Health Policy Studies, University of California, San Francisco.
Jinoos YazdanyUniversity of California, San Francisco.

Funding

The Interplay of Sociodemographic and Genetic Factors in SLE Health DisparitiesP60AR053308 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YELIN, EDWARD H · 2006 to 2016
$11.8M
A rational approach to liver toxicity monitoring in methotrexate usersK23AR063770 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHMAJUK, GABRIELA · 2013 to 2017
$670k
Evaluating Health Care Quality in Systemic Lupus ErythematosusK23AR060259 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAZDANY, JINOOS · 2011 to 2015
$638k
NIAMS NIH HHS K23 AR060259NIAMS NIH HHS K23-AR-060259NIAMS NIH HHS K23 AR063770NIAMS NIH HHS P60 AR053308NIAMS NIH HHS P60-AR-053308
6 · The paper itself

Abstract

objectiveHealth information technology (HIT) holds promise in increasing access to rheumatologists by improving the quality and efficiency of referrals, but few studies have examined its use for this purpose. We evaluated the use and impact of a novel electronic referral (eReferral) system in rheumatology in a safety-net health system.

methodsWe examined eReferrals over 4 years. Our primary outcome was use of preconsultation exchange, defined as back-and-forth communication between referring and specialty care providers, facilitating triage of referrals, requests for more information, or resolution of questions without a visit. We calculated the proportion of eReferrals that underwent preconsultation exchange, time to reviewer response, and number of visits scheduled. To increase generalizability, we selected a random sample of eReferrals to undergo additional blinded, adjudicated review to assess agreement on appropriateness for preconsultation exchange.

resultsBetween 2008 and 2012, 2,383 eReferrals were reviewed and 2,105 were eligible for analysis. One-fourth of eReferrals were resolved without a clinic visit. The proportion of eReferrals undergoing preconsultation exchange increased over time (55% in 2008 versus 74% in 2011), and the volume of referrals also steadily increased over time. Reviewer response time averaged between 1 and 4 days. In the random sample of eReferrals that underwent adjudicated review, agreement between reviewers was high (κ = 0.72).

conclusionHIT-enabled preconsultation exchange was used for a majority of eReferrals and facilitated communication between referring clinicians and rheumatologists. This redesigned system of care allowed for triage of a high number of referrals, with many referrals determined to be appropriate for preconsultation exchange.

Indexed as

Referral and ConsultationRheumatic DiseasesFemaleHumansMaleMedical InformaticsMiddle AgedOutcome and Process Assessment, Health CareRheumatology

Identifiers

PMID25623810
PMCPMC4515392

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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.