Evidence map›Paper›PMID 37228426›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2023

Augmented Reality Demonstration Survey Results From a Veteran Affairs Medical Center.

Thomas F Osborne, David M Arreola, Zachary P Veigulis, Christopher Morley, Osamah Choudhry, Wenbo Lan, Kristopher R Teague, Ryan Vega, Satish M Mahajan

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Thomas F OsborneUS Department of Veterans Affairs, Palo Alto Health Care System, California.
David M ArreolaUS Department of Veterans Affairs, Palo Alto Health Care System, California.
Zachary P VeigulisUS Department of Veterans Affairs, Palo Alto Health Care System, California.
Christopher MorleyMedivis, Inc., New York, New York.
Osamah ChoudhryMedivis, Inc., New York, New York.
Wenbo LanMedivis, Inc., New York, New York.
Kristopher R TeagueUS Department of Veterans Affairs, Washington, DC.
Ryan VegaUS Department of Veterans Affairs, Washington, DC.
Satish M MahajanUS Department of Veterans Affairs, Palo Alto Health Care System, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Augmented reality (AR) has a wide range of potential applications to enhance health care. Understanding how the introduction of a new technology may impact employees is essential for overall health care system success. Methods: Survey responses were obtained before and after a health care-focused interactive AR demonstration at a US Department of Veterans Affairs (VA) medical center. Data were assessed with descriptive statistics, Wilcoxon signed rank matched pairs test, pooled Results: A total of 166 individuals participated in the demonstration and survey. Statistically significant improvements were seen after the use of the new AR technology in each of the categories assessed using a 5-point Likert scale. Scores for perceptions of institutional innovativeness increased from 3.4 to 4.5 (a 22% increase; Conclusions: An AR demonstration significantly increased employee excitement and intention to continue employment at the VA and provided valuable insights about the most impactful uses of AR in health care.

Identifiers

PMID37228426
PMCPMC10204933

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.