Evidence map›Paper›PMID 33570251›Full record

ArticleACR open rheumatology2021

Coupled Effect of Electronic Medical Record Modifications and Lean Six Sigma Methodology on Rheumatoid Arthritis Disease Activity Measurement and Treat-to-Target Outcomes.

Puneet Bajaj, Usha Kollipara, Rama Koganti, Dan Claire Wang, Navreet Chennu, Deepa Bhat, Jacqueline Mutz, Duwayne Willett, Jason Fish, David Karp

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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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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

10 authors.

Puneet BajajUniversity of Texas Southwestern Medical Center, Dallas.ORCID https://orcid.org/0000-0002-8688-4059
Usha KolliparaSouthwestern Health Resources, Dallas, Texas.
Rama KogantiSouthwestern Health Resources, Dallas, Texas.
Dan Claire WangUniversity of Texas Southwestern Medical Center, Dallas.
Navreet ChennuSaint Louis University, St. Louis, Missouri.
Deepa BhatSouthwestern Health Resources, Dallas, Texas.
Jacqueline MutzSouthwestern Health Resources, Dallas, Texas.
Duwayne WillettUniversity of Texas Southwestern Medical Center, Dallas.
Jason FishUniversity of Texas Southwestern Medical Center, Dallas.
David KarpUniversity of Texas Southwestern Medical Center, Dallas.ORCID https://orcid.org/0000-0002-9005-1690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) disease activity assessment is critical for treatment decisions and treat to target (T2T) outcomes. Utilization of the electronic medical record (EMR) and techniques to improve the routine capture of disease activity measures in clinical practice are not well described. We leveraged a Lean Six Sigma (LSS) approach, a data-driven five-step process improvement and problem-solving methodology, coupled with EMR modifications to evaluate improvement in disease activity documentation and patient outcomes.

methodsA RA registry was established, and structured fields for Routine Assessment of Patient Index Data (RAPID3) and Clinical Disease Activity Index (CDAI) were built in the EMR, along with a dashboard to display provider performance rates. An initial rapid-cycle improvement intervention was launched, and subsequent LSS improvement cycles helped in standardization of clinic workflow, modifying provider behaviors, and motivating better documentation practices. Trends related to CDAI score categories were compared over time using run charts.

resultsOur project included 1322 patients with RA and 10 241 encounters between April 2016 and December 2019. Initially, RAPID3 completion rates increased from 16% to 50%, and CDAI from 15% to 44% from the RCI intervention. Post LSS intervention, the RAPID3 rate increased to more than 90% (sustained at 85%), and CDAI rate increased to more than 80% (sustained at 72%). The patients in the low disease/remission category increased from 54% to 66% (p < 0.001), and those in the high disease category decreased from 15% to 7% (p < 0.001), demonstrating improved T2T outcomes.

conclusionCombining EMR modifications with systems redesign utilizing LSS approach led to impressive and sustained improvement in disease activity documentation and T2T outcomes.

Identifiers

PMID33570251
PMCPMC7966875

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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.