Evidence map›Paper›PMID 36175929›Full record

ArticlePediatric rheumatology online journal2022

Capturing critical data elements in Juvenile Idiopathic Arthritis: initiatives to improve data capture.

Meghan E Ryan, Andrew Warmin, Bryce A Binstadt, Colleen K Correll, Emily Hause, Patricia Hobday, Alison Lerman, Shawn A Mahmud, Mona M Riskalla, Zachary Shaheen and 4 more

Abstract read
In one paragraph

Article in Pediatric rheumatology online journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Anti-βArchives of gynecology and obstetrics · 2023
    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

14 authors.

Meghan E RyanUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA. meghanryan0615@gmail.com.ORCID http://orcid.org/0000-0003-3469-746X
Andrew WarminCincinnati Children's Hospital, Cincinnati, OH, USA.
Bryce A BinstadtUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Colleen K CorrellUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Emily HauseUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Patricia HobdayUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Alison LermanUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Shawn A MahmudUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Mona M RiskallaUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Zachary ShaheenUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Richard K VeheUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Danielle R BullockUniversity of Minnesota and M Health Fairview Masonic Children's Hospital, Minneapolis, USA.
Pediatric Rheumatology Care
Outcomes Improvement Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDocumentation of critical data elements is a focus of the Pediatric Rheumatology Care and Outcomes Improvement Network to aid in clinical care and research for patients with juvenile idiopathic arthritis. We aimed to increase data capture for critical data elements and hypothesized that quality improvement methodology would improve data capture. We also hypothesized that data capture for all critical data elements would be lower for virtual visits compared to in-person visits.

methodsAll visits for patients with JIA between 9/14/2020 and 12/31/2021 at the University of Minnesota were included. We assessed completeness of critical data element capture. Sixteen interventions with providers were conducted, including email reminders, individual discussions, group meetings, and feedback reports. We used statistical process control charts to evaluate change over time.

resultsBaseline included 355 patient-visits: 221 (62%) in-person and 134 (38%) virtual with critical data elements entry ranging between 50 and 60%. Post-intervention included 1,596 patient-visits: 1,350 (85%) in-person and 246 (15%) virtual, with critical data elements entry reaching 91%. All providers improved data entry during this study. In-person visits had significantly higher data capture rates than virtual visits for all 4 critical data elements.

conclusionWe achieved our aim to increase critical data element documentation by focusing on provider buy-in, frequent reminders, and individualized feedback. We also found that collection of critical data elements occurred significantly less often with virtual visits than with in-person visits. Now that we improved capture of critical data elements, we can shift the focus to efforts aimed at improving outcomes for patients with juvenile arthritis.

Indexed as

Arthritis, JuvenileRheumatologyChildHumansQuality ImprovementData CollectionJuvenile idiopathic arthritisQuality ImprovementVirtual visits

Identifiers

PMID36175929
PMCPMC9521883

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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.