NCT06730048

Brief Summary

However, no study has been found in the care of preeclampsia, which is highly effective on maternal and fetal health. Therefore, this study was planned to determine the effect of augmented reality-based training on the diagnosis and intervention planning skills of nursing students.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
84

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Dec 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 8, 2024

Completed
4 days until next milestone

First Posted

Study publicly available on registry

December 12, 2024

Completed
8 days until next milestone

Study Start

First participant enrolled

December 20, 2024

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 20, 2025

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 20, 2025

Completed
Last Updated

December 12, 2024

Status Verified

December 1, 2024

Enrollment Period

2 months

First QC Date

December 8, 2024

Last Update Submit

December 8, 2024

Conditions

Keywords

preeclampsianursing carepregnancyaugmented reality

Outcome Measures

Primary Outcomes (1)

  • Preeclampsia Nursing Care Plan

    he nursing care plan consists of 4 open-ended questions including nursing diagnosis, risks, interventions and evaluation. Students will receive 3 points for each correct diagnosis. If they write all of the diagnoses, they will receive a total of 48 points from the diagnoses. If they correctly write 2 of the risk factors related to the diagnosis of preeclampsia added to the diagnoses for each diagnosis, they will receive 1 point from each diagnosis. They will receive a maximum of 16 points from risks. If they write at least 5 nursing interventions for each diagnosis, they will receive 2 points for each diagnosis. A maximum of 32 points will be obtained from interventions. The evaluation part will be 0.25 points. If they write the evaluations of all diagnoses correctly, they will receive 4 points. A total of 100 points can be obtained from the nursing care plan, with a minimum of 0 and a maximum of 48+16+32+32+4.

    one month

Secondary Outcomes (3)

  • Participant Information Form

    one month

  • Preeclampsia Knowledge Test

    one month

  • Presence Scale

    one month

Study Arms (2)

experimental group

EXPERIMENTAL

An appointment will be made to meet with the students in the experimental group in a suitable classroom of the school. After the pre-test data, the students in the experimental group will be shown the preeclampsia case with virtual glasses for about 5-10 minutes. Then the post-test will be applied. A scenario including preeclampsia case and nursing care practices will be created in the virtual reality environment, and 10 experts will be consulted about the scenario before the students are shown it. This application will not have any side effects.

Other: Experimental Group

control group

OTHER

After the pre-test data, the preeclampsia case will be explained to the students in the control group with the classical lecture method in the Women's Health and Diseases Nursing course and the post-test will be applied.

Other: Control group (placebo)

Interventions

An appointment will be made to meet with the students in the experimental group in a suitable classroom of the school. After the pre-test data, the students in the experimental group will be shown the preeclampsia case with virtual glasses for about 5-10 minutes. Then the post-test will be applied. A scenario including preeclampsia case and nursing care practices will be created in the virtual reality environment, and 10 experts will be consulted about the scenario before the students are shown it. This application will not have any side effects.

experimental group

After the pre-test data, the preeclampsia case will be explained to the students in the control group with the classical lecture method in the Women's Health and Diseases Nursing course and the post-test will be applied.

control group

Eligibility Criteria

Age18 Years - 45 Years
Sexfemale(Gender-based eligibility)
Gender Eligibility DetailsInclusion criteria; * Continuing the course of Women's Health and Diseases Nursing, * Volunteering to participate in the research, * No physical or psychological health problems preventing the completion of the research forms. Exclusion criteria * Not watching the whole case given with virtual glasses, * Failure to attend class during the week of the preeclampsia lecture in the course syllabus.
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Continuing the course of Women's Health and Diseases Nursing,
  • Volunteering to participate in the research,
  • No physical or psychological health problems preventing the completion of the research forms.

You may not qualify if:

  • \- Not watching the whole case given with virtual glasses,
  • Failure to attend class during the week of the preeclampsia lecture in the course syllabus.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Inonu University

Malatya, 44200, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Pre-Eclampsia

Interventions

Control Groups

Condition Hierarchy (Ancestors)

Hypertension, Pregnancy-InducedPregnancy ComplicationsFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital Diseases

Intervention Hierarchy (Ancestors)

Epidemiologic Research DesignEpidemiologic MethodsInvestigative TechniquesResearch DesignMethods

Central Study Contacts

simge öztürk, Ph.D

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, OUTCOMES ASSESSOR
Masking Details
experimental group will use augmented reality sension and outcome assessments will be performend by a investigator who was blinded to group allocation.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: two-group study, experimental and control group
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Ph.D Student

Study Record Dates

First Submitted

December 8, 2024

First Posted

December 12, 2024

Study Start

December 20, 2024

Primary Completion

February 20, 2025

Study Completion

August 20, 2025

Last Updated

December 12, 2024

Record last verified: 2024-12

Data Sharing

IPD Sharing
Will not share

Locations