Evidence map›Paper›PMID 34144854›Full record

ArticlePatient education and counseling2022

Exploring variables related to medical surrogate decision-making accuracy during the COVID-19 pandemic.

Rachael L Spalding, Barry Edelstein

Open access · greenAbstract read
In one paragraph

Article in Patient education and counseling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 14 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

2 authors at 1 institution in 1 country.

Rachael L SpaldingDepartment of Psychology, West Virginia University, Morgantown, WV, USA. Electronic address: rls0046@mix.wvu.edu.
Barry EdelsteinDepartment of Psychology, West Virginia University, Morgantown, WV, USA.
West Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSurrogate medical decision making is common in the United States healthcare system. Variables that may influence surrogate decision making have been proposed. Little work has examined relations between these variables and outcomes of surrogate decision making. This study investigated whether surrogates' characteristics, including their knowledge of treatment options, and interpersonal factors predicted surrogates' accuracy and intervention selections. Specifically, predictor variables included: trust in the medical profession, trait-level anxiety, depression, anxiety about COVID-19, religiosity, perceived emotional support, understanding of treatment options, empathy, willingness to accept responsibility for medical decisions, reluctance to burden others, and perceived similarity between oneself and the patient.

methods154 pairs of patients and their surrogates completed an online survey. Patients indicated preferred treatments in hypothetical decision scenarios. Surrogates indicated the treatment that they thought the patient would prefer.

resultsWhen taken all together in a predictive model, the variables significantly predicted surrogates' accuracy, F (6) = 3.03, R

conclusionsConsistent with prior research, this study found that surrogates' characteristics influence the interventions they choose, with anxiety about COVID-19 having considerable bearing on their chosen interventions. PRACTICE IMPLICATIONS: These findings can inform development of decision-making interventions to improve surrogates' accuracy. Providers may attend to variables highlighted by this study to support surrogates, particularly within the stressful context of COVID-19 and possible future pandemics.

Indexed as

COVID-19PandemicsClinical Decision-MakingDecision MakingHumansSARS-CoV-2COVID-19 anxietyEnd-of-life decision makingMedical decision makingSurrogate decision makingTreatment preferences

Identifiers

PMID34144854
PMCPMC8805830
OpenAlexW3171127360

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.