Evidence map›Paper›PMID 25172936›Full record

ArticleRheumatology (Oxford, England)2015

Understanding how patients (vs physicians) approach the decision to escalate treatment: a proposed conceptual model.

Liana Fraenkel, Elizabeth K Seng, Meaghan Cunningham, Kristin Mattocks

Open access · bronzeAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Liana FraenkelDepartment of Medicine, Yale University School of Medicine, Yale University, New Haven, Department of Medicine, VA Connecticut Health Care System, West Haven, CT, Department of Psychology, Yeshiva University, New York, NY and Department of Research, VA Central Western Massachusetts, North Hampton, MA, USA. Department of Medicine, Yale University School of Medicine, Yale University, New Haven, Department of Medicine, VA Connecticut Health Care System, West Haven, CT, Department of Psychology, Yeshiva University, New York, NY and Department of Research, VA Central Western Massachusetts, North Hampton, MA, USA. liana.fraenkel@yale.edu.
Elizabeth K SengDepartment of Medicine, Yale University School of Medicine, Yale University, New Haven, Department of Medicine, VA Connecticut Health Care System, West Haven, CT, Department of Psychology, Yeshiva University, New York, NY and Department of Research, VA Central Western Massachusetts, North Hampton, MA, USA.
Meaghan CunninghamDepartment of Medicine, Yale University School of Medicine, Yale University, New Haven, Department of Medicine, VA Connecticut Health Care System, West Haven, CT, Department of Psychology, Yeshiva University, New York, NY and Department of Research, VA Central Western Massachusetts, North Hampton, MA, USA.
Kristin MattocksDepartment of Medicine, Yale University School of Medicine, Yale University, New Haven, Department of Medicine, VA Connecticut Health Care System, West Haven, CT, Department of Psychology, Yeshiva University, New York, NY and Department of Research, VA Central Western Massachusetts, North Hampton, MA, USA.
Yale New Haven Health System · US

Funding

Improving Decision Making in Patients with Rheumatic DiseaseK24AR060231 · NIAMS · YALE UNIVERSITY · PI FRAENKEL, LIANA · 2011 to 2018
$1.2M
NIAMS NIH HHS AR060231-02NIAMS NIH HHS K24 AR060231
6 · The paper itself

Abstract

objectiveWe performed a qualitative study to better understand how patients with RA approach risk-benefit trade-offs inherent in the choice of remaining with their current treatment vs escalating care.

methodsWe used a think-aloud protocol to examine how patients with RA approach risk-benefit trade-offs inherent in the choice of remaining with their current treatment vs adding a biologic. The data emerging from the protocols were used to develop a conceptual model describing how patients approach the decision to escalate care.

resultsParticipants who were strongly impacted by their disease were not open to considering alternative options. For some patients, being highly impacted by their disease results in a strong preference to escalate care. For others, the same level of distress is reason to unconditionally refuse additional medications. In contrast, those who were moderately impacted were more open to consider treatment options. Among these participants, however, subjects' risk-benefit trade-offs were consistently modified by factors unrelated to medication, including sociodemographic characteristics, role responsibilities and the quality of the patient-physician relationship.

conclusionThe conceptual model indicates that patients approach the decision to escalate care differently from physicians. In order to improve care in RA, it is important to recognize that many patients with moderate to high disease activity are not open to alternative treatments, which is a prerequisite to engaging in decision making. Routine clinical encounters should enable health care providers to identify these patients in order to tailor education prior to recommending treatment escalation.

Indexed as

Decision MakingAdultAgedAged, 80 and overAntirheumatic AgentsArthritis, RheumatoidBiological FactorsDrug SubstitutionDrug Therapy, CombinationFemaleHumansMaleMiddle AgedPatient ParticipationPatient PreferencePhysician-Patient RelationsAntirheumatic AgentsBiological Factorsdecision makingpatient preferencequality of carerheumatoid arthritistreat to target

Identifiers

PMID25172936
PMCPMC4301710
OpenAlexW2171269647

What OpenQuestion holds

Textmetadata
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.