Evidence map›Paper›PMID 33478269›Full record

ArticleHand (New York, N.Y.)2022

Understanding the Patient Experience: Analysis of 2-Word Assessment and Its Relationship to Likelihood to Recommend in Outpatient Hand Surgery.

Lauren M Shapiro, Kevin A Thomas, Sara L Eppler, Raj Behal, Jeffery Yao, Robin N Kamal

Open access · greenAbstract read
In one paragraph

Article in Hand (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Lauren M ShapiroStanford University, Redwood City, CA, USA.ORCID 0000-0001-5396-5488
Kevin A ThomasStanford University, Redwood City, CA, USA.ORCID 0000-0002-3546-330X
Sara L EpplerStanford University, Redwood City, CA, USA.ORCID 0000-0002-3296-8396
Raj BehalOne Medical, San Francisco, CA, USA.
Jeffery YaoStanford University, Redwood City, CA, USA.
Robin N KamalStanford University, Redwood City, CA, USA.ORCID 0000-0002-3011-6712
Stanford University · US

Funding

Developing and Testing a Tool for Preference Elicitation in Carpal Tunnel SyndromeK23AR073307 · NIAMS · STANFORD UNIVERSITY · PI KAMAL, ROBIN N · 2018 to 2022
$866k
NIAMS NIH HHS K23 AR073307
6 · The paper itself

Abstract

backgroundActionable feedback from patients after a clinic visit can help inform ways to better deliver patient-centered care. A 2-word assessment may serve as a proxy for lengthy post-visit questionnaires. We tested the use of a 2-word assessment in an outpatient hand clinic.

methodsNew patients were asked to provide a 2-word assessment of the following: (1) their physician; (2) their overall experience; and (3) recommendations for improvement and their likelihood to recommend (LTR) after their clinic visit. Sentiment analysis was used to categorize results into positive, neutral, or negative sentiment. Recommendations for improvement were classified into physician issue, system issue, or neither. We evaluated the relationship between LTR status, sentiment, actionable improvement opportunities, and classification (physician issue, system issue, or neither). Recommendations for improvement were classified into themes based on prior literature.

resultsSixty-seven (97.1%) patients noted positive sentiment toward their physician; 67 (97.1%) noted positive sentiment toward their overall experience. About 31% of improvement recommendations were system-based, 5.9% were physician-based, and 62.7% were neither. Patients not LTR were more likely to leave actionable opportunities for improvement than those LTR (

conclusionPatients not likely to recommend provided actionable opportunities for improvement using a simple 2-word assessment. Implementation of a 2-word assessment in a hand clinic can be used to obtain actionable, real-time patient feedback that can inform operational change and improve the patient experience.

Indexed as

HandPatient SatisfactionAmbulatory Surgical ProceduresHumansOutpatientsSurveys and Questionnaires2-word assessmentlikelihood to recommendpatient experiencequality improvement

Identifiers

PMID33478269
PMCPMC9608275
OpenAlexW3122074833

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.