Cargando…

Effect of removing the barrier of transportation costs on surgical utilisation in Guinea, Madagascar and the Republic of Congo

BACKGROUND: 81 million people face impoverishment from surgical costs every year. The majority of this impoverishment is attributable to the non-medical costs of care—for transportation, for food and for lodging. Of these, transportation is the largest, but because it is not viewed as an actual medi...

Descripción completa

Detalles Bibliográficos
Autores principales: Shrime, Mark G, Hamer, Mirjam, Mukhopadhyay, Swagoto, Kunz, Lauren M, Claus, Nathan H, Randall, Kirsten, Jean-Baptiste, Joannita H, Maevatombo, Pierre H, Toh, Melissa P S, Biddell, Jasmin R, Bos, Ria, White, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717941/
https://www.ncbi.nlm.nih.gov/pubmed/29225959
http://dx.doi.org/10.1136/bmjgh-2017-000434
Descripción
Sumario:BACKGROUND: 81 million people face impoverishment from surgical costs every year. The majority of this impoverishment is attributable to the non-medical costs of care—for transportation, for food and for lodging. Of these, transportation is the largest, but because it is not viewed as an actual medical cost, it is frequently unaddressed. This paper examines the effect on surgical utilisation of paying for transportation. METHODS: A hierarchical logistic regression was performed on 2692 patients presenting for surgical care to a non-governmental organisation operating in the Republic of the Congo, Guinea and Madagascar. Controlling for distance from the hospital, age, gender, the need for air travel and time between appointments, the effect of payment for transportation on the surgical no-show rate was evaluated. RESULTS: After adjustment for observed confounders, paying for transportation drops the surgical no-show rate by 45% (OR 0.55; 95% CI 0.40 to 0.77; p<0.001). Age, delay between appointments and the number of hours travelled for surgery also predict surgical no-show. For 28% of no-show patients, the cost of transportation from their homes to a nearby predetermined pick-up point remained a barrier, even when transportation from the pick-up point to the hospital was free. CONCLUSION: Transportation costs are a significant barrier to surgical care in low-resource settings, and paying for it halves the no-show rate. This finding highlights that decreasing demand-side barriers to surgical care cannot be limited only to the removal of user fees.