Geographic Accessibility to Healthcare: Study Case Dengue Fever in Purwosari Sub-District, Gunungkidul Regency, Yogyakarta, Indonesia

The distribution and spatial analysis of public healthcare in Indonesia are rarely discussed, with most studies predominantly focusing on quantity and quality. Therefore, this study aims to investigate the relationship between health facilities selection and geographic conditions by integrating medical facilities data and the number of doctors using spatial analysis approach. The selected study areas were referral health facilities chosen by Dengue Hemorrhagic Fever (DHF) patients in Purwosari District, Gunungkidul Regency. Furthermore, data were collected through interviews, field measurements (altitude and location plotting), and secondary sources (hospital type, number of doctors, and number of beds). The data collection and analysis employed GPS, Altimeter, ArcGIS, and SPSS. Spatial analysis method included kernel density, buffer, ruler, and altitude of each facility. Meanwhile, the medical analysis approach used Pearson's correlation and multinomial logistic regression in SPSS. Spatial analysis results showed that DHF patients in Purwosari dominantly chose hospitals located in Bantul Regency due to closer proximity, relatively short travel time, lower elevation, and the availability of numerous health facilities centers. Puskesmas Purwosari (Sub-district level Primary Health center) was primarily chosen as an early reference and a place for treating mild dengue patients. In addition, distance, duration of travel time, and the number of doctors exhibited a strong relationship based on Pearson's correlation. These three variables demonstrated strong linear relationship with the response variable. Some variables like elevation, number of doctors, hospital type, and number of beds were considered by patients in choosing a hospital, as revealed by multinomial logistic regression analysis. ©2023 by the authors.