IMPROVING THE QUALITY OF CARE IN PAEDIATRIC HOSPITAL ENVIRONMENT BY OPTIMIZING BUDGET ALLOCATION BETWEEN INVESTMENT IN VACCINATION AND FUTURE INSTITUTIONAL DEVELOPMENT

Author(s)

Dort T1, Schecroun N2, Standaert B3
1Navigha S.A. on behalf of GSK Vaccines, Brussels, Belgium, 2Keyrus Biopharma C/O GSK, Wavre, Belgium, 3GSK Vaccines, Wavre, Belgium

Winter seasons show a decrease in hospital quality of care (QoC) due to the surge of paediatric diseases (rotavirus, RSV, influenza and pneumococcal infection) leading to overcrowded paediatric wards. Bed occupancy rates often reach 95%, above the 85% good management threshold, resulting in chaotic conditions. An evaluation study in Belgium reports an increase in QoC after rotavirus vaccine introduction. QoC could be improved by investing in more hospital beds and/or a larger vaccination programme while accounting for budget restrictions. We used the Cobb-Douglas model (1928), that defines the improvement in QoC (% growth) as a function of rotavirus vaccine coverage (%) and extra hospital beds (% of existing beds), to produce iso-QoC curves. The coordinates (vaccine coverage and extra hospital beds) of one specific iso-QoC curve identify the targeted QoC improvement. We determined which combination of these two strategies should be made to reach a given QoC improvement with the minimum budget. Data from Jessa Hospital (Hasselt, Belgium) were used as an example. The annual birth cohort in the catchment area is around 7,000 children, the winter period is 120 days (January – April) and 34 paediatric beds are available. The rotavirus vaccination cost per course is €114 and the daily cost of a paediatric bed is €298. We target a 50% increase in QoC and try to find the best budget allocation between vaccine prevention and extra hospital beds. Calibration is made with standard parameter values.

Conference/Value in Health Info

2016-05, ISPOR 2016, Washington DC, USA

Value in Health, Vol. 19, No. 3 (May 2016)

Code

PRM198

Topic

Methodological & Statistical Research

Topic Subcategory

Confounding, Selection Bias Correction, Causal Inference

Disease

Infectious Disease (non-vaccine)

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