Evidence map›Paper›PMID 39484093›Full record

ArticleArthroplasty today2024

Conversational Engagement Using a Short Message Service Chatbot After Total Joint Arthroplasty.

Joshua P Rainey, Emily A Treu, Kevin J Campbell, Brenna E Blackburn, Christopher E Pelt, Michael J Archibeck, Jeremy M Gililland, Lucas A Anderson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Arthroplasty today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Joshua P RaineyDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Emily A TreuDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Kevin J CampbellOrthopedic & Sports Institute of the Fox Valley, Appleton, WI, USA.
Brenna E BlackburnDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Christopher E PeltDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Michael J ArchibeckDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Jeremy M GilillandDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Lucas A AndersonDepartment of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Utilizing conversational analytics in orthopaedic surgery may provide insights into patients' experiences and outcomes. This study retrospectively assessed how patients interacted with a perioperative chatbot and whether the topic of patients' queries could offer insight on their outcomes after total knee or hip arthroplasty. Methods: We identified 1338 patients (746 knees and 592 hips) who enrolled in a short message service chatbot from 2020-2022 with greater than 3 months of follow-up. The total number and topics of patient-generated text responses to the chatbot were recorded. Independent Results: Readmitted patients interacted less with the perioperative chatbot than those who were not readmitted (3.9 messages vs 12.7 messages, Conclusions: The topic of chatbot queries and chatbot engagement were associated with patient outcomes after total knee arthroplasty or total hip arthroplasty and may provide insight to patients' perioperative courses.

Indexed as

Artificial intelligenceChatbotsCommunicationPatient engagement platformsTotal hip arthroplastyTotal knee arthroplasty

Identifiers

PMID39484093
PMCPMC11526051

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.