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Management of Shoulder Dystocia in Flipped Learning

The Effect of a Flipped Learning Approach on Midwifery Students Learning Shoulder Dystocia Management: A Randomized Controlled Trial.

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06105268
Enrollment
68
Registered
2023-10-27
Start date
2024-06-06
Completion date
2025-06-30
Last updated
2025-07-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Shoulder Dystocia - Delivered

Keywords

Shoulder Dystocia, flipped learning, midwifery student

Brief summary

Flipped learning is an innovative learning method in midwifery education. Studies that apply this learning method together with shoulder dystocia training have not been found in the current literature. For this reason, the study was designed as a randomized controlled study to examine the effectiveness of the flipped learning technique in shoulder dystocia management using high-valid simulation in midwifery undergraduate education.

Detailed description

Flipped learning is an innovative learning method in midwifery education. Studies that apply this learning method together with shoulder dystocia training have not been found in the current literature. For this reason, the study was designed as a randomized controlled study to examine the effectiveness of the flipped learning technique in shoulder dystocia management using high-valid simulation in midwifery undergraduate education. Hypotheses of the research; First Hypothesis H1: The use of flipped learning model in midwifery education has an effect on midwifery students' shoulder dystocia knowledge levels. Second Hypothesis H1: The use of flipped learning model in midwifery education has an effect on midwifery students' levels of Student Satisfaction and Self-Confidence in Learning. Third Hypothesis H1: The use of flipped learning model in midwifery education has an effect on midwifery students' Pagana Clinical Stress levels.

Interventions

OTHERflipped learning training group

flipped learning training group. Applying a flipped learning model in addition to routine training in a fully equipped simulation

Sponsors

Karabuk University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
SINGLE (Investigator)

Masking description

Single (Investigator)

Intervention model description

The sample of the study will consist of two groups: experimental and control. The number of students in each group is the difference between the experimental and control groups in order to determine the effectiveness of shoulder dystocia management given using the flipped learning technique; With 95% confidence (1-α), 95% test power (1-β), d = 1.3000000 effect size and two-sided t test, the number of samples to be taken in each group will be 17 and the study should be conducted with a total of 34 students (16). . Since there is no case of data loss and there is no sample study where the flipped learning technique and shoulder dystocia are used together, a total of 68 students will be studied, 34 students in each group.

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 35 Years
Healthy volunteers
Yes

Inclusion criteria

* \- Agreeing to participate in the study, * Being a 4th year student at the Department of Midwifery,

Exclusion criteria

* \- Refusing to participate in the study, * Being a 1st, 2nd and 3rd year student in the midwifery department

Design outcomes

Primary

MeasureTime frameDescription
H112 monthsUsing the flipped learning model in midwifery education increases the knowledge level score of midwifery students on shoulder dystocia.

Other

MeasureTime frameDescription
Measurement and evaluation materials to be used in the studyScales will be administered immediately after the educational intervention.In the study, a personal data form containing students' personal information,

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026