Evidence map›Paper›PMID 37456123›Full record

ArticleData in brief2023

Dataset used to refine a treatment protocol of a biofeedback-based virtual reality intervention for pain and anxiety in children and adolescents undergoing surgery.

Zandantsetseg Orgil, Anitra Karthic, Nora Bell, Sara E Williams, Lili Ding, Susmita Kashikar-Zuck, Christopher D King, Vanessa A Olbrecht

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Zandantsetseg OrgilDepartment of Clinical Research Services, Nationwide Children's Hospital, Columbus, OH, USA.
Anitra KarthicDepartment of Anesthesiology & Pain Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
Nora BellDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Sara E WilliamsDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Lili DingDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Susmita Kashikar-ZuckDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Christopher D KingDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Vanessa A OlbrechtDepartment of Anesthesiology & Pain Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
Cincinnati Children's Hospital Medical Center · USNationwide Children's Hospital · USUniversity of Cincinnati Medical Center · US

Funding

Feasibility and acceptability of biofeedback-based virtual reality for postoperative pain management in children and adolescentsR34AT011218 · NCCIH · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI OLBRECHT, VANESSA ANNE · 2021 to 2023
$699k
NCCIH NIH HHS R34 AT011218
6 · The paper itself

Abstract

There is a great need for nonpharmacologic pain management strategies, given the catastrophic effects of the opioid epidemic and the role of opioid prescription in precipitating addiction [1], particularly in children and adolescents at risk of chronic pain and opioid use after surgery [2], [3], [4]. Biofeedback-based virtual reality (VR-BF) is an innovative approach to managing pain that compliments and may even increase accessibility [5] and acceptability [6] of existing mind-body therapies for pain management, like biofeedback (BF). BF teaches patients behavioral modification techniques that impact involuntary processes [7,8]. For example, slow breathing increases heart rate variability (HRV) [9] to reduce pain through the downregulation of the sympathetic nervous system [10,11]. However, barriers to widespread use, such as the need for trained personnel and high costs of direct intervention, have hindered its widespread clinical use and access to this therapy [5,12]. VR-BF has not yet been integrated into perioperative care, and as such, no defined treatment protocols for preoperative training and postoperative application of VR-BF exist, particularly in children. The dataset presented in this article may help fill the unmet, critical need for accessible, effective, alternative therapeutic options for reducing postoperative pain and opioid exposure in children. This investigation aimed to establish measurable outcomes impacting a perioperative treatment protocol of VR-BF, a novel VR-based therapy that teaches patients relaxation techniques and monitors the sensitivity of heart rate variability (HRV) to different frequencies and durations of VR-BF sessions. Achievement of target physiological parameters, including HRV, was measured in children and adolescents undergoing surgery anticipated to cause moderate to severe pain (e.g., orthopedic, chest) requiring postoperative pain management by the Acute Pain Services at Nationwide Children's Hospital (NCH). This dataset included 23 surgical patients evaluated quantitatively and qualitatively to refine a treatment protocol for the feasibility and acceptability of (a) preoperative education and training in relaxation, and (b) postoperative application of a VR-BF intervention for pain management [13]. Qualitative data was collected using an investigator-derived questionnaire to obtain feedback and understand the patient and family experience using VR-BF. Descriptive statistics (mean±SD or median with interquartile range [IQR] for continuous variables; frequencies and percentages for categorical variables) and exploratory spline regression analyses were generated to define measurable outcomes for a future pilot, randomized clinical trial protocol.

Indexed as

Acute postoperative painAnesthesiaAnxiety(BF), Biofeedback(HRV), Heart rate variability(VR-BF), Biofeedback-based virtual reality(VR), Virtual reality

Identifiers

PMID37456123
PMCPMC10338292
OpenAlexW4381550186

What OpenQuestion 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 OpenQuestion graph.