Evidence map›Paper›PMID 41399725›Full record

ArticlePEC innovation2026

Human interaction with a virtual assistant in preparation for in-hospital orthopedic consultation. A feasibility and acceptability study in older adults with osteoarthritis.

Walter van der Weegen, Thomas Timmers, Maud Jacobs, Katja Saris, Sebastiaan A W van de Groes

Abstract read
In one paragraph

Article in PEC innovation, 2026. 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
–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

0 citing papers in PubMed.

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

5 authors.

Walter van der WeegenSports & Orthopedics Research Centre, St. Anna Hospital, Geldrop, the Netherlands.
Thomas TimmersIQ Health, Radboud University Medical Center, Nijmegen, the Netherlands.
Maud JacobsSports & Orthopedics Research Centre, St. Anna Hospital, Geldrop, the Netherlands.
Katja SarisDepartment of Orthopaedic Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.
Sebastiaan A W van de GroesDepartment of Orthopaedic Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the feasibility and acceptability of an avatar-based history taking tool for patients referred for knee or hip osteoarthritis. Methods: In a single Centre study patients referred for knee or hip osteoarthritis were asked to use an avatar-based history taking tool. The technical basis of this tool was formed by speech recognition (Google Dialogflow), a "rule-based" model and ChatGPT 3.5. To assess feasibility and acceptability patients filled in a modified version of the Artificial-Social-Agent Questionnaire afterwards, with supplemental open questions. Results: Of the 40 participating patients (median age 67 years, min: 47.3, max 87.5, 26 women), 36 (87.5 %) scored the digital conversation as natural, 33 (82.5 %) found the avatar easy to use, 31 (77.5 %) were open to using the avatar more often in the future, and 26 (65 %) found the conversation captivating. Conclusion: Avatar-based history taking is feasible and accepted by older patients seeking orthopedic care for knee or hip osteoarthritis.Innovation:Avatar-based history taking applications could be offered to patients who are referred for knee or hip osteoarthritis, before they have their face-to-face consultation with an orthopedic surgeon.

Indexed as

AcceptabilityAvatarFeasibilityHistory takingOrthopedics

Identifiers

PMID41399725
PMCPMC12702030

What OpenQuestion holds

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LicenceCC BY
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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.