Cost of illness (COI) data can be generated in two ways: it can be measured empirically through patient and facility surveys and administrative data, or it can be modeled when cost data are available to researchers from secondary sources. COI data from empirical studies provide insights on the use of healthcare resources at the patient level including out-of-pocket payments and the opportunity costs of receiving treatment. Such estimates are evidence of the level of economic burden borne by the population and the institutions that serve it.

To better understand and categorize the existing evidence around the COI of childhood diseases, we conducted a systematic literature review to build a cost of illness database by childhood disease. It includes peer-reviewed articles estimating COI from primary data sources rather than secondary or modeled data and limited to low- and middle-income countries (LMICs). Ten childhood diseases are considered in this review: hepatitis B, Haemophilus influenzae type B (Hib), human papillomavirus (HPV), Japanese encephalitis (JE), rubella, yellow fever (YF), pneumococcal pneumonia, measles, meningitis and rotavirus.

This data will be used to update parameters in the DOVE COI and Return on Investment (ROI) models to reflect the most recent economic and health data available.

For more information, please contact Gatien de Broucker