Multidimensional Determinants of Nursing Workforce Attrition in Conflict-Affected Yemen: A Nationwide Cross-Sectional Analysis

This repository contains all materials, data, and code for the research study: "Multidimensional Determinants of Nursing Workforce Attrition in Conflict-Affected Yemen: A Nationwide Cross-Sectional Analysis". Study Overview: This study investigates the alarming rate of nursing workforce attrition in Yemen, the world's worst humanitarian crisis. Through a nationwide survey of 900 nurses across five conflict-affected governorates, we identify the key drivers behind nurses' intention to leave their positions, with particular focus on economic, psychological, workload, and safety-related factors. Key Findings: · 68.4% of nurses intend to leave within 12 months · Main drivers: Inadequate income (aOR=3.42), high burnout (aOR=2.87), job dissatisfaction (aOR=2.65), unsafe nurse-patient ratios (aOR=2.31) · Critical issues: Workplace violence (63.7% exposed), inadequate staffing (69.8%), lack of psychological support (57.1%) Study Design: · Type: Multi-governorate, facility-based cross-sectional study · Sample: 900 registered nurses from public/private facilities · Location: Five Yemeni governorates (Aden, Al-Dhalea, Ibb, Lahj, Taiz) · Period: March-December 2025 · Methods: Two-stage cluster sampling, interviewer-administered questionnaires, multivariable logistic regression Replication Instructions: 1. Download all files to a single directory 2. Open yemen_nurse_attrition_analysis.do in Stata 3. Set working directory path (line 22) 4. Run the complete do-file to reproduce all analyses