TY - JOUR
T1 - Accessibility to First-Mile health services: A time-cost model for rural Uganda
AU - Moro Visconti, Roberto
AU - Larocca, Alberto
AU - Marconi, Michele
PY - 2020
Y1 - 2020
N2 - This study estimates the geographical disconnection in rural Low-Middle-Income Countries (LMIC) between
First-Mile suppliers of healthcare services and end-users. This detachment is due to geographical barriers and to a
shortage of technical, financial, and human resources that enable peripheral health facilities to perform effective
and prompt diagnosis. End-users typically have easier access to cell-phones than hospitals, so mHealth can help
to overcome such barriers, transforming inpatients/outpatients into home-patients, decongesting hospitals,
especially during epidemics. This generates savings for patients and the healthcare system. The advantages of
mHealth are well known, but there is a literature gap in the description of its economic returns. This study
applies a geographical model to a typical LMIC, Uganda, quantifying the time-cost to reach an equipped medical
center. Time-cost measures the disconnection between First-Mile hubs and end-users, the potential demand of
mHealth by remote end-users, and the consequent savings. The results highlight an average time-cost of 75 min,
well above the recommended thresholds, and estimate that mHealth leads to significant savings (1.5 monthly
salaries and 21% of public health budget). Community health workers and private actors may re-engineer
healthcare resources through Public-Private Partnerships (PPP), remunerated with results-based financing
(RBF). These findings can contribute to improving healthcare resource allocation in LMIC.
AB - This study estimates the geographical disconnection in rural Low-Middle-Income Countries (LMIC) between
First-Mile suppliers of healthcare services and end-users. This detachment is due to geographical barriers and to a
shortage of technical, financial, and human resources that enable peripheral health facilities to perform effective
and prompt diagnosis. End-users typically have easier access to cell-phones than hospitals, so mHealth can help
to overcome such barriers, transforming inpatients/outpatients into home-patients, decongesting hospitals,
especially during epidemics. This generates savings for patients and the healthcare system. The advantages of
mHealth are well known, but there is a literature gap in the description of its economic returns. This study
applies a geographical model to a typical LMIC, Uganda, quantifying the time-cost to reach an equipped medical
center. Time-cost measures the disconnection between First-Mile hubs and end-users, the potential demand of
mHealth by remote end-users, and the consequent savings. The results highlight an average time-cost of 75 min,
well above the recommended thresholds, and estimate that mHealth leads to significant savings (1.5 monthly
salaries and 21% of public health budget). Community health workers and private actors may re-engineer
healthcare resources through Public-Private Partnerships (PPP), remunerated with results-based financing
(RBF). These findings can contribute to improving healthcare resource allocation in LMIC.
KW - GIS
KW - barriers to care
KW - home patient
KW - result based financing
KW - GIS
KW - barriers to care
KW - home patient
KW - result based financing
UR - http://hdl.handle.net/10807/161605
U2 - 10.1016/j.socscimed.2020.113410
DO - 10.1016/j.socscimed.2020.113410
M3 - Article
SN - 0277-9536
SP - 1
EP - 12
JO - SOCIAL SCIENCE & MEDICINE
JF - SOCIAL SCIENCE & MEDICINE
ER -