What are some easy obstetrics thesis topics with straightforward abstract and methodology?

Medical Advisory BoardAll articles are reviewed for accuracy by our Medical Advisory Board
Educational purpose only • Exercise caution as content is pending human review
Article Review Status
Submitted
Under Review
Approved

Last updated: November 5, 2025View editorial policy

Personalize

Help us tailor your experience

Which best describes you? Your choice helps us use language that's most understandable for you.

Easy Obstetrics Thesis Topics with Straightforward Methodology

I cannot provide thesis topics with abstracts and methodologies based on the medical evidence provided, as the evidence consists of clinical guidelines and research studies focused on obstetric emergencies, prenatal care protocols, and clinical management—not guidance on academic thesis development.

However, based on the clinical evidence available, I can suggest feasible research topics that align with current gaps in obstetric literature and would be methodologically straightforward:

Suggested Thesis Topics Based on Evidence Gaps

1. Simulation Training Impact on Emergency Medicine Teams

Rationale: There exists practically no literature on simulation training for emergency medicine teams on obstetrical emergencies, with rare studies only assessing learner satisfaction and knowledge acquisition 1.

Proposed Methodology:

  • Study Design: Prospective observational study or quasi-experimental design
  • Population: Emergency medicine residents and attending physicians
  • Intervention: Structured simulation training on shoulder dystocia, breech delivery, and postpartum hemorrhage
  • Outcomes: Pre/post-test knowledge scores, confidence levels (Kirkpatrick levels 1-2), and if feasible, clinical performance metrics 1
  • Analysis: Paired t-tests for pre/post comparisons, descriptive statistics for satisfaction scores

2. Patient Satisfaction with Reduced-Visit Prenatal Care Models

Rationale: Standard prenatal care has limited evidence supporting its structure, and reduced-frequency models enhanced with remote monitoring show promise 2, 1.

Proposed Methodology:

  • Study Design: Cross-sectional survey study or retrospective chart review
  • Population: Low-risk pregnant women receiving standard vs. reduced-visit care
  • Data Collection: Validated satisfaction scales (modified Littlefield and Adams), stress assessments (PreNatal Maternal Stress scale) 2
  • Outcomes: Patient satisfaction scores, perceived quality of care, adherence to ACOG prenatal services
  • Analysis: Independent t-tests or Mann-Whitney U tests comparing satisfaction between groups

3. Adherence to Aspirin Prophylaxis for Preeclampsia Prevention

Rationale: Low-dose aspirin is recommended for high-risk women, but adherence patterns and barriers are understudied 3.

Proposed Methodology:

  • Study Design: Retrospective cohort study or prospective survey
  • Population: Pregnant women with high-risk factors for preeclampsia
  • Data Collection: Chart review for aspirin prescription timing (12-28 weeks), patient surveys on adherence barriers
  • Outcomes: Percentage prescribed aspirin before 16 weeks, patient-reported adherence rates, preeclampsia incidence 3
  • Analysis: Descriptive statistics, chi-square tests for categorical outcomes

4. Utilization of Viscoelastic Testing (ROTEM/TEG) in Postpartum Hemorrhage

Rationale: ROTEM shows potential for guiding transfusion therapy in PPH, but protocols need validation in diverse settings 1.

Proposed Methodology:

  • Study Design: Prospective observational study
  • Population: Women experiencing postpartum hemorrhage
  • Intervention: ROTEM testing at hemorrhage onset with documentation of FIBTEM A5 values
  • Outcomes: Transfusion requirements, time to hemostasis, correlation between FIBTEM <12mm and severe hemorrhage 1
  • Analysis: Receiver operating characteristic curves, sensitivity/specificity calculations

5. Mental Health Screening Compliance During Antenatal Care

Rationale: Guidelines recommend mental health inquiry at every consultation, but implementation rates are unknown 3, 4.

Proposed Methodology:

  • Study Design: Retrospective chart audit
  • Population: Pregnant women receiving antenatal care at a single institution
  • Data Collection: Chart review for documented mental health screening at each visit
  • Outcomes: Percentage of visits with documented screening, referral rates to mental health services 3
  • Analysis: Descriptive statistics, trend analysis across trimesters

Key Methodological Advantages

These topics are "easy" because they:

  • Require minimal intervention (mostly observational or survey-based)
  • Use existing validated tools and scales 1, 2
  • Can be completed with chart review or single-institution data
  • Address clear evidence gaps identified in current guidelines 1
  • Have straightforward statistical analyses (descriptive statistics, t-tests, chi-square)

Common Pitfalls to Avoid

  • Sample size: Calculate required sample size a priori to ensure adequate power for detecting meaningful differences 2
  • Selection bias: Use consecutive sampling or randomization when possible to minimize bias 2
  • Validated instruments: Always use previously validated scales rather than creating new surveys 2
  • Ethical approval: Obtain institutional review board approval before data collection, even for retrospective studies

Note: The evidence provided does not contain specific guidance on thesis topic selection or academic research methodology development. These suggestions are derived from identified research gaps within the clinical literature provided 1, 2.

References

Guideline

Guideline Directed Topic Overview

Dr.Oracle Medical Advisory Board & Editors, 2025

Guideline

Antepartum Care Guidelines

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2025

Research

Antenatal Care: A Comparative Review of Guidelines.

Obstetrical & gynecological survey, 2024

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

Have a follow-up question?

Our Medical A.I. is used by practicing medical doctors at top research institutions around the world. Ask any follow up question and get world-class guideline-backed answers instantly.