Evidence map›Paper›PMID 36445734›Full record

ArticleJMIR research protocols2022

A Digital Health Intervention for Stress and Anxiety Relief in Perioperative Care: Protocol for a Feasibility Randomized Controlled Trial.

Haridimos Kondylakis, Irene Alice Chicchi Giglioli, Dimitrios G Katehakis, Hatice Aldemir, Paul Zikas, George Papagiannakis, Santiago Hors-Fraile, Pedro L González-Sanz, Konstantinos C Apostolakis, Constantine Stephanidis and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05184725 (CARINAE), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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.

NCT05184725 nacompletednot on this map

CARINAE: A Digital Health Intervention for Stress Relief in Perioperative Care: Clinical Study

TypeinterventionalSponsorAdhera Health, Inc.Ran2022 to 2022Enrolled50ConditionsPsychological Stress, Cardiopulmonary Bypass Surgery, Coronary Artery Bypass Surgery, Cardiac Valve ReplacementArmsSaMD CARINAE
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

14 authors at 5 institutions in 2 countries.

Haridimos Kondylakis *Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.ORCID https://orcid.org/0000-0002-9917-4486
Irene Alice Chicchi Giglioli *Adhera Health, Inc, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0003-2577-0039
Dimitrios G Katehakis *Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.ORCID https://orcid.org/0000-0002-3763-191X
Hatice Aldemir *Digital Health Program, Barcelona Technology School, Barcelona University, Barcelona, Spain.ORCID https://orcid.org/0000-0002-8550-9062
Paul Zikas *ORamaVR SA, Heraklion, Greece.ORCID https://orcid.org/0000-0003-2422-1169
George Papagiannakis *Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.ORCID https://orcid.org/0000-0002-2977-9850
Santiago Hors-Fraile *Adhera Health, Inc, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0003-3979-2044
Pedro L González-Sanz *Adhera Health, Inc, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0002-0639-1490
Konstantinos C Apostolakis *Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.ORCID https://orcid.org/0000-0002-4609-4079
Constantine Stephanidis *Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.ORCID https://orcid.org/0000-0003-3687-4220
Francisco J Núñez-Benjumea *Virgen Macarena University Hospital, Andalusian Health Service, Sevilla, Spain.ORCID https://orcid.org/0000-0003-0292-5122
Rosa M Baños-Rivera *Polibienestar Institute, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0003-0626-7665
Luis Fernandez-Luque *Adhera Health, Inc, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0001-8165-9904
Angelina Kouroubali *Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.ORCID https://orcid.org/0000-0002-3023-8242
Foundation for Research and Technology Hellas · GRUniversity of Crete · GRAndalusian Health Service · ESBarcelona Graduate School of Mathematics · ESSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress and anxiety are psychophysiological responses commonly experienced by patients during the perioperative process that can increase presurgical and postsurgical complications to a comprehensive and positive recovery. Preventing and intervening in stress and anxiety can help patients achieve positive health and well-being outcomes. Similarly, the provision of education about surgery can be a crucial component and is inversely correlated with preoperative anxiety levels. However, few patients receive stress and anxiety relief support before surgery, and resource constraints make face-to-face education sessions untenable. Digital health interventions can be helpful in empowering patients and enhancing a more positive experience. Digital health interventions have been shown to help patients feel informed about the possible benefits and risks of available treatment options. However, they currently focus only on providing informative content, neglecting the importance of personalization and patient empowerment.

objectiveThis study aimed to explore the feasibility of a digital health intervention called the Adhera CARINAE Digital Health Program, designed to provide evidence-based, personalized stress- and anxiety-management methods enabled by a comprehensive digital ecosystem that incorporates wearable, mobile, and virtual reality technologies. The intervention program includes the use of advanced data-driven techniques for tailored patient education and lifestyle support.

methodsThe trial will include 5 hospitals across 3 European countries and will use a randomized controlled design including 30 intervention participants and 30 control group participants. The involved surgeries are cardiopulmonary and coronary artery bypass surgeries, cardiac valve replacement, prostate or bladder cancer surgeries, hip and knee replacement, maxillofacial surgery, or scoliosis. The control group will receive standard care, and the intervention group will additionally be exposed to the digital health intervention program.

resultsThe recruitment process started in January 2022 and has been completed. The primary impact analysis is currently ongoing. The expected results will be published in early 2023.

conclusionsThis manuscript details a comprehensive protocol for a study that will provide valuable information about the intervention program, such as the measurement of comparative intervention effects on stress; anxiety and pain management; and usability by patients, caregivers, and health care professionals. This will contribute to the evidence planning process for the future adoption of diverse digital health solutions in the field of surgery.

trial registrationClinicalTrials.gov NCT05184725; https://www.clinicaltrials.gov/ct2/show/NCT05184725. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38536.

Indexed as

CARINAEdigital healthhealth recommender systemHRSmHealthmobile healthpatient empowermentperioperative processstress and anxiety managementvirtual realityVR

Identifiers

PMID36445734
PMCPMC9748793
OpenAlexW4293915320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.