RESUMO
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.
RESUMO
Over two-thirds of the world's population lack access to surgical care. Non-governmental organisation's providing free surgeries may overcome financial barriers, but other barriers to care still exist. This analysis paper discusses two different case-finding strategies in Madagascar that aimed to increase the proportion of poor patients, women and those for whom multiple barriers to care exist. From October 2014 to June 2015, we used a centralised selection strategy, aiming to find 70% of patients from the port city, Toamasina, and 30% from the national capital and two remote cities. From August 2015 to June 2016, a decentralised strategy was used, aiming to find 30% of patients from Toamasina and 70% from 11 remote locations, including the capital. Demographic information and self-reported barriers to care were collected. Wealth quintile was calculated for each patient using a combination of participant responses to asset-related and demographic questions, and publicly available data. A total of 2971 patients were assessed. The change from centralised to decentralised selection resulted in significantly poorer patients undergoing surgery. All reported barriers to prior care, except for lack of transportation, were significantly more likely to be identified in the decentralised group. Patients who identified multiple barriers to prior surgical care were less likely to be from the richest quintile (p=0.037) and more likely to be in the decentralised group (p=0.046). Our country-specific analysis shows that decentralised patient selection strategies may be used to overcome barriers to care and allow patients in greatest need to access surgical care.
