National variation in patterns of bone disease treatment-seeking behaviors: A study of more than 50,000 hospital admissions between 2008 and 2021
National variation in patterns of bone disease treatment-seeking behaviors: A study of more than 50,000 hospital admissions between 2008 and 2021
Blog Article
Understanding disease treatment-seeking behaviors is a fundamental issue for national and regional healthcare management.However, treatment-seeking behaviors are complex and affected by various factors, including disease incidence, healthcare resources, and population accessibility to hospitals.Geospatial analysis is a practical approach to investigating treatment-seeking behaviors.Still, methods and cases are limited due to the lack of long-term data, interdisciplinary knowledge, and data analytic techniques.We develop a new paradigm for investigating spatial patterns and factors affecting bone disease treatment-seeking behaviors.
We leverage consecutive long-term records of over 50,000 nationwide bone disease patients outside Beijing who had surgeries in a prestigious hospital in Beijing, China.Five categories of patient individual-level geographical and environmental variables are derived from multi-source remote sensing and geospatial data to explain treatment-seeking behaviors.First, we develop behringer wireless in ear monitor a scaling approach to assess the relationships between bone patients and population migration.Next, we develop a treatment-seeking index to measure treatment-seeking behaviors and develop spatial models to identify their regional disparities, i.e.
, hotspots and coldspots.Finally, we develop spatial heterogeneity models to explore the complex factors affecting treatment-seeking behaviors.Results show that the developed paradigm is effective in examining national variations of the patterns of disease treatment-seeking behaviors.We find that (i) population migration is an effective predictor of the treatment-seeking behaviors of bone patients, (ii) significant hotspots and coldspots are identified for informing regional disparities, and (iii), multiple types of factors affecting the treatment-seeking behaviors through a geospatially overlapped approach.This study pioneers the development of geospatial models and implementation of patient tsc apparel houston individual-level data derived from satellite remote sensing for large-scale disease treatment-seeking behaviors assessment.
The proposed paradigm provides solid evidence for previous and future policies and actions to address the regional inequality of disease treatments.