Evidence map›Paper›PMID 42017022›Full record

ArticleProceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences2026

Gown, Glove, Gadget: A Qualitative Study Exploring Surgeons' Use of Wearable Devices in the Operating Room.

Kristy Helscel, Nathaniel Spears, Alex Oberyszyn, Matthew Marquardt, Angela Emerson, Nicholas Leahy, Catherine Quatman-Yates, James Crick

Abstract read
In one paragraph

Article in Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences, 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

8 authors.

Kristy HelscelThe Ohio State University.
Nathaniel SpearsThe Ohio State University.
Alex OberyszynThe Ohio State University.
Matthew MarquardtThe Ohio State University.
Angela EmersonThe Ohio State University.
Nicholas LeahyThe Ohio State University.
Catherine Quatman-YatesThe Ohio State University.
James CrickThe Ohio State University.

Funding

AHRQ HHS T32 HS029590
6 · The paper itself

Abstract

This qualitative study explores surgeon experiences using wearable biometric devices in the operating room to support surgeon wellbeing and optimize personal performance. Through semi-structured interviews with attending surgeons and trainees across surgical subspecialties, we identified four themes: (1) increased self-awareness for behavior modification, (2) integration into surgical workflows, (3) challenges with wearable biometric device usability, and (4) future opportunities and broader implications. Participants valued devices that offered intuitive and actionable insights with minimal workflow disruption. However, data complexity and fragmented app ecosystems limited participant engagement. A Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework was used to translate qualitative insights into device implementation considerations. Ethical concerns, especially regarding employee privacy and data governance, were noted as potential barriers. These findings highlight both the promise and pitfalls of integrating these devices into surgical practice and suggest the need for thoughtful design, institutional support, and ethical safeguards to maximize device utility and efficacy.

Indexed as

biometric monitoringqualitative studysurgeon well-beingsurgerywearable technology

Identifiers

PMID42017022
PMCPMC13095232

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.