Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
Autor: | Niclas Rudolfson, Edison Nihiwacu, Frederick Kateera, Kristin A. Sonderman, Robert Riviello, Bethany Hedt-Gauthier, Bahati Ramadhan, Magdalena Gruendl, Theoneste Nkurunziza |
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Rok vydání: | 2020 |
Předmět: |
Adult
Waiting time Emergency Medical Services medicine.medical_specialty Time Factors Geographic information system Concordance 030231 tropical medicine MEDLINE Health Services Accessibility Surgery in Low and Middle Income Countries 03 medical and health sciences 0302 clinical medicine Linear regression Health care Information system Emergency medical services Humans Medicine 030212 general & internal medicine Travel Cesarean Section business.industry Rwanda Hospitals District ddc Surgery Geographic Information Systems Female Health Facilities business |
Zdroj: | World Journal of Surgery |
ISSN: | 1432-2323 0364-2313 |
DOI: | 10.1007/s00268-020-05480-8 |
Popis: | Background Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the “Three Delays Framework,” namely “delay in reaching a health facility.” Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients traveling to a district hospital in rural Rwanda for emergency obstetric care. Methods Our study includes 664 women who traveled to undergo a Cesarean delivery in Kirehe, Rwanda. We compared self-reported travel time from home to the hospital (excluding waiting time) with GIS estimated travel times, which were computed using the World Health Organization tool AccessMod, using linear regression. Results The majority of patients used multiple modes of transportation (walking = 48.5%, public transport = 74.2%, private transport = 2.9%, and ambulance 70.6%). Self-reported times were longer than GIS estimates by a factor of 1.49 (95% CI 1.40–1.57). Concordance was higher when the GIS model took into account that all patients in Rwanda are referred via their health center (β = 1.12; 95% CI 1.05–1.18). Conclusions To our knowledge, in this largest to date GIS validation study for geographical access to healthcare in low- and middle-income countries, a standard GIS model was found to significantly underestimate real travel time, which likely is in part because it does not model the actual route patients are travelling. Therefore, previous studies of 2-h access to surgery will need to be interpreted with caution, and future studies should take local travelling conditions into account. |
Databáze: | OpenAIRE |
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