Evidence map›Paper›PMID 34288595›Full record

ArticleACR open rheumatology2021

The Development of the Rheumatology Informatics System for Effectiveness Learning Collaborative for Improving Patient-Reported Outcome Collection and Patient-Centered Communication in Adult Rheumatology.

Meera Subash, Lucy H Liu, Kimberly DeQuattro, Sonam Choden, Lindsay Jacobsohn, Patricia Katz, Puneet Bajaj, Jennifer L Barton, Christie Bartels, Bonnie Bermas and 9 more

Abstract read
In one paragraph

Article in ACR open rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Qualitative study of patient-reported outcome data collection among clinicians in dermatology at a single academic center.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Future challenges in rheumatology - is telemedicine the solution?Therapeutic advances in musculoskeletal disease · 2022
    Review
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

19 authors.

Meera SubashUniversity of California, San Francisco.
Lucy H LiuKaiser Permanente Northern California, Oakland.ORCID https://orcid.org/0000-0003-3181-0471
Kimberly DeQuattroHighland Hospital, Oakland, California.
Sonam ChodenZuckerberg San Francisco General Hospital, San Francisco, California.
Lindsay JacobsohnZuckerberg San Francisco General Hospital, San Francisco, California.
Patricia KatzUniversity of California, San Francisco.ORCID https://orcid.org/0000-0002-8146-2519
Puneet BajajUniversity of Texas Southwestern, Dallas.ORCID https://orcid.org/0000-0002-8688-4059
Jennifer L BartonOregon Health and Sciences University, Portland.ORCID https://orcid.org/0000-0002-6771-3465
Christie BartelsUniversity of Wisconsin, Madison.ORCID https://orcid.org/0000-0001-6523-0374
Bonnie BermasUniversity of Texas Southwestern, Dallas.
Maria I DanilaUniversity of Alabama at Birmingham.ORCID https://orcid.org/0000-0001-9246-6200
Christina DowneyLoma Linda University, Loma Linda, California.ORCID https://orcid.org/0000-0002-8285-5701
Sancia FergusonUniversity of Wisconsin, Madison.
Kimberly ReiterRaymond G Murphy Veterans Affairs Medical Center, Albuquerque, New Mexico.
Elizabeth WahlUniversity of Washington, Seattle.
Elena WeinsteinUniversity of Colorado Denver.
JoAnn ZellUniversity of Colorado Denver.
Gabriela SchmajukUniversity of California, San Francisco.ORCID https://orcid.org/0000-0003-2687-5043
Jinoos YazdanyZuckerberg San Francisco General Hospital, San Francisco, California.ORCID https://orcid.org/0000-0002-3508-4094

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

objectivePatient-reported outcomes (PROs) are an integral part of treat-to-target approaches in managing rheumatoid arthritis (RA). In clinical practice, however, routine collection, documentation, and discussion of PROs with patients are highly variable. The RISE LC (Rheumatology Informatics System for Effectiveness Learning Collaborative) was established to develop and share best practices in PRO collection and use across adult rheumatology practices in the United States

methodsThe goals of the RISE LC were developed through site surveys and in-person meetings. Participants completed a baseline survey on PRO collection and use in their practices. RISE LC learning sessions focused on improving communication around PROs with patients and enhancing shared decision-making in treatment plans. During the coronavirus disease 2019 (COVID-19) pandemic, the RISE LC pivoted to adapt PRO tools for telehealth.

resultsAt baseline, all responding sites (n = 15) had established workflows for collecting PROs. Most sites used paper forms alone. PRO documentation in electronic health records was variable, with only half of the sites using structured data fields. To standardize and improve the use of PROs, participants iteratively developed a Clinical Disease Activity Index-based RA Disease Activity Communication Tool to solicit treatment goals and improve shared decision-making across sites. The COVID-19 pandemic necessitated developing a tool to gauge PROs via telehealth.

conclusionThe RISE LC is a continuous, structured method for implementing strategies to improve PRO collection and use in rheumatological care, initially adapting from the Learning Collaborative model and extending to include features of a learning network. Future directions include measuring the impact of standardized PRO collection and discussion on shared decision-making and RA outcomes.

Identifiers

PMID34288595
PMCPMC8516100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.