Michelle Wambaya

Kenyan Health Facilities Data Exploration An in-depth analysis of health facilities in Kenya. Introduction This presentation focuses on exploring and cleaning a comprehensive dataset of health facilities across Kenya, comprising over 10,000 entries. It highlights key attributes such as facility types, ownership, locations, and service availability indicators, providing insights into the healthcare landscape. 01 Dataset Overview Health Facilities Attributes The dataset includes crucial information on health facilities like facility codes, names, locations (province, county, district), type, ownership, and various service indicators such as inpatient and outpatient services, and tuberculosis labs. Dataset Size and Structure The dataset contains over 10,000 rows, representing numerous health facilities in Kenya. It is structured to allow in-depth analysis of both quantitative and qualitative data, facilitating insights into health service distribution. Geographical Coverage The dataset covers various regions of Kenya, enabling identification of health facilities' geographical distribution and density. This coverage includes diverse counties and urban versus rural differences in health service availability. 02 County Distribution Top Counties by Facility Count Nairobi and Kiambu lead in the number of health facilities, with 942 and 506 respectively. Other notable counties include Meru, Nyeri, and Nakuru. This distribution emphasizes the urban concentration of healthcare services in specific regions. Urban Concentration Observations The concentration of health facilities in urban areas like Nairobi suggests accessibility challenges for rural populations. Analyzing this distribution can help in planning equitable healthcare service provisions across the country. County-Specific Insights Service availability varies significantly among counties. Certain counties such as Nairobi and Kiambu not only have the highest number of facilities but also showcase better service availability. In contrast, rural areas may lack essential health services, indicating a need for targeted improvements in health infrastructure. 03 Facility Types Common Facility Types The most prevalent facility types include dispensaries, medical clinics, and health centers. Dispensaries account for over 40% of the facilities, indicating a foundational role in Kenya's healthcare system, while hospitals and nursing homes serve more specialized needs. Facility Type Distribution The distribution of facility types demonstrates a predominance of basic healthcare providers such as dispensaries and medical clinics. This distribution highlights existing gaps in higher-level healthcare services, suggesting a need for enhanced support for hospitals and specialized facilities. Implications for Health Services Understanding facility types and their distribution is critical for healthcare planning and resource allocation. The predominance of basic services suggests that while initial healthcare access is high, there is an essential need to strengthen advanced care facilities to meet comprehensive health needs. 04 Data Quality and Visualization Data Quality Issues Data quality challenges, such as inconsistencies and missing values, have been identified within the dataset. These issues are paramount as they can significantly impact the reliability of conclusions drawn from the data and necessitate meticulous data cleaning efforts. Visualization Techniques Used Effective visualization techniques, including bar charts for facility counts and pie charts for service type distribution, have been employed. Heatmaps are also utilized to represent service availability, allowing for quick geographical insights into health service distribution. Insights from Visualizations Visualizations reveal important trends such as the concentration of health facilities in urban areas. They provide a compelling visual summary of the data, highlighting disparities in service availability and guiding strategic planning for health service enhancements. Conclusions The exploration of health facilities in Kenya reveals crucial insights into service distribution and the types of facilities available. Addressing data quality issues and enhancing facility types can significantly improve healthcare access, especially in underserved regions. Thank you! Do you have any questions? CREDITS: This presentation template was created by Slidesgo Slidesgo, and includes icons Flaticon by Flaticon, and infographics & images by Freepik Freepik + 0 0 0