This repository contains an end-to-end data analysis of a healthcare safety culture survey conducted across multiple hospitals in Kajiado County, Kenya. # 🏥 Patient Safety Culture Survey(Kajiado County Hospitals) This repository contains all files and data related to the analysis of a **Patient Safety Culture Survey** conducted across hospitals within **Kajiado County, Kenya**. The goal of this study was to measure safety-related perceptions among hospital staff and provide actionable insights to support continuous improvement in healthcare service delivery. ## 🎯 Objective of the Study To understand how healthcare workers perceivekey patient safety dimensions, including:: * Teamwork and collaboration * Staffing adequacy and workload * Communication and handover efficiency * Unit-level operational support * Shift handovers * Safety culture & blame climate * Overall patient safety environment The results provide a foundation for **policy decisions**, **hospital management strategies**, and **future quality improvement interventions**. ### The analysis aims to answer: How do staff across different hospitals perceive patient safety? What are the common views on teamwork, staffing, shift handovers, and safety climate? Which departments contributed insights, and where are the data gaps? What strengths and improvement areas can hospital leadership act on? ## 📊 Dataset Description * **Type:** Primary survey data * **Format:** Likert-scale responses (Strongly Agree → Strongly Disagree) * **Participants:** Health workers across multiple departments and units * **Location:** Kajiado County, Kenya The dataset records perceptions across various patient safety culture dimensions. ## 🧠 Analytical Approach * **Data Cleaning** * Handling invalid and ambiguous values * Structuring tabular data * **Descriptive Analysis** * Frequency tables * Percentage distribution * **Safety Culture Interpretation** * Favorability scoring * Identifying areas of strength vs. concern * **Graphical Summaries** * Top units represented * Likert response behaviors * Distribution trends The analysis includes: * 🔍 **Frequency counts and …