Health Condition 1: I708- Atherosclerosis of other arteries
Conditions
Interventions
Intervention1: Virtual reality based preoperative information: Participants allocated to the intervention arm will receive virtual reality (VR) based preoperative information prior to undergoing coron
Sponsors
Veeresh Kademani
Eligibility
Inclusion criteria
Inclusion criteria: Participants who are scheduled for elective coronary angiography. Participants who can understand and follow instructions in Kannada. Participants who are willing to participate and provide informed consent. Participants with stable hemodynamic status at the time of enrolment.
Exclusion criteria
Exclusion criteria: Participants with known visual or hearing impairments that limit the use of virtual reality. Participants with a history of seizures, vertigo, or motion sickness triggered by virtual reality exposure. Participants undergoing emergency coronary angiography. Participants with cognitive impairment or psychiatric illness that affects comprehension. Participants who have already received structured preoperative counselling using audiovisual or virtual reality methods.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Reduction in preoperative anxiety levels as measured by the State-Trait Anxiety Inventory (STAI) score, along with the maintenance of stable hemodynamic parameters.Timepoint: Baseline (Pre-intervention): The baseline assessment will be conducted before the patient receives any preparatory information, counselling, or exposure to the VR intervention at the stage when the patient has been scheduled for coronary angiography and is awaiting the procedure. This captures the patient s natural preoperative anxiety level and unmodified hemodynamic status. Post-intervention: The post-intervention assessment will be conducted immediately after the VR-based preoperative information session, before the patient is taken for coronary angiography, to determine the immediate effect of the intervention on anxiety and hemodynamic parameters. | — |
Secondary
| Measure | Time frame |
|---|---|
| NILTimepoint: NIL | — |
Countries
India
Contacts
Public ContactVeeresh Kademani
Lecturer, Department of Medical-Surgical Nursing, Nitte Usha Institute of Nursing Sciences (NUINS), Nitte (Deemed to be University), Mangalore.
Outcome results
None listed