Evidence map›Paper›PMID 35665497›Full record

ArticleACR open rheumatology2022

Rheumatologist and Patient Mental Models for Treatment of Rheumatoid Arthritis Help Explain Low Treat-to-Target Rates.

Betty Hsiao, Julie Downs, Mandy Lanyon, Susan J Blalock, Jeffrey R Curtis, Leslie R Harrold, William Benjamin Nowell, Carole Wiedmeyer, Shilpa Venkatachalam, Liana Fraenkel

Open access · goldAbstract read
In one paragraph

Article in ACR open rheumatology, 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
1.4field-weighted citation impact, top 19% of its field
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, 8 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Betty HsiaoYale University, New Haven, Connecticut.ORCID https://orcid.org/0000-0003-4515-4591
Julie DownsCarnegie Mellon University, Pittsburgh, Pennsylvania.
Mandy LanyonCarnegie Mellon University, Pittsburgh, Pennsylvania.
Susan J BlalockThe University of North Carolina at Chapel Hill.ORCID https://orcid.org/0000-0002-8750-3385
Jeffrey R CurtisThe University of Alabama at Birmingham.ORCID https://orcid.org/0000-0002-8907-8976
Leslie R HarroldUniversity of Massachusetts Chan Medical School, Worcester.
William Benjamin NowellGlobal Healthy Living Foundation, Upper Nyack, New York.ORCID https://orcid.org/0000-0002-4951-6476
Carole WiedmeyerGlobal Healthy Living Foundation, Upper Nyack, New York.
Shilpa VenkatachalamGlobal Healthy Living Foundation, Upper Nyack, New York.
Liana FraenkelYale University, New Haven Connecticut, and Berkshire Medical Center, Pittsfield, Massachusetts.ORCID https://orcid.org/0000-0002-6148-610X
University of North Carolina at Chapel Hill · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863Rheumatology Research Foundation
6 · The paper itself

Abstract

objectiveDespite proven benefits, less than half of patients with rheumatoid arthritis (RA) are treated using a treat-to-target (TTT) strategy. Our objective was to identify critical discrepancies between rheumatologist and patient mental models related to the treatment of RA to inform interventions designed to increase implementation of TTT.

methodsWe developed rheumatologist and patient mental models using the Mental Models Approach to Risk Communication. We conducted semistructured interviews to elicit views related to RA treatment decisions with 14 rheumatologists and 30 patients with RA. We also included responses (n = 284) to an open-ended question on a survey fielded to augment qualitative descriptions from the interviews. Interviews were transcribed and coded independently by two members of the research team.

resultsRheumatologist and patient mental models for RA treatment are significantly more complex than the TTT model. Both consider domains (system factors and patient readiness) outside of disease activity measurement, target setting, and risk versus benefit assessment in their decision-making. Furthermore, specific factors were found to be unique to each model. For example, the physician model stresses the importance of evaluating disease activity over time and patient adherence. In contrast, patients discussed the impact of chronic disease weariness, medication-related fatigue, the importance of feeling adequately informed, and stress associated with changing medications.

conclusionWe found several discrepancies primarily related to information gaps and differences in how patients and physicians value trade-offs that can serve as specific targets to improve patient-physician communication and ultimately inform interventions to improve uptake of TTT.

Identifiers

PMID35665497
PMCPMC9374053
OpenAlexW4281999231

What OpenQuestion holds

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Registered trials

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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.