Evidence map›Paper›PMID 30952397›Full record

ReviewRheumatic diseases clinics of North America2019

Using Health Information Technology to Support Use of Patient-Reported Outcomes in Rheumatology.

Julie Gandrup, Jinoos Yazdany

Abstract readReview
In one paragraph

Review in Rheumatic diseases clinics of North America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. PostRegional anesthesia and pain medicine · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. The racial/ethnic and sociocultural aspects of the pandemic in rheumatology.Best practice & research. Clinical rheumatology · 2021
    Review
  8. Article
  9. Patient Perspectives on a Digital Mobile Health Application for RA.Open access rheumatology : research and reviews · 2021
    Article
  10. Digital crowdsourcing: unleashing its power in rheumatology.Annals of the rheumatic diseases · 2020
    Article
  11. 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

2 authors.

Julie GandrupDivision of Rheumatology, University of California, San Francisco, San Francisco, CA, USA.
Jinoos YazdanyDivision of Rheumatology, University of California, San Francisco, San Francisco, CA, USA. Electronic address: Jinoos.yazdany@ucsf.edu.

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Advancing Quality and Outcomes Measurement in RheumatologyK24AR074534 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jinoos Yazdany · 2019 to 2026
$1.5M
Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE-PRO) Dissemination ProjectR18HS025638 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAZDANY, JINOOS · 2018 to 2020
$1.5M
AHRQ HHS R18 HS025638NIAMS NIH HHS K24 AR074534NIAMS NIH HHS P30 AR070155
6 · The paper itself

Abstract

Technology can help health care providers understand their patients' experience of illness in a way that was previously impossible. Experience in using health information technology (IT) to capture this information through PROs within rheumatology suggests that careful attention to human centered design, including detailed workflow planning, consideration of patient and physician burden, integration into the health IT ecosystem, and delivering information to the right person at the right time are all important. Technology applications must be tested in diverse health systems and populations to ensure they are simple to interpret, useful for clinical decision making and effective in impacting outcomes.

Indexed as

Patient Reported Outcome MeasuresRheumatologyElectronic Health RecordsHumansMedical InformaticsTelemedicineeHealthHealth ITmHealthPatient-reported outcomesPROs

Identifiers

PMID30952397
PMCPMC6687295

What OpenQuestion holds

Textmetadata
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.