Budget Impact Analysis
An assessment of how adopting a health technology or policy would change spending for a particular budget holder over a specified period.
Explore comprehensive, evidence-informed explanations of key health economics concepts, including their development, application and relationships to other concepts. Published entries are validated through human expert review.
An assessment of how adopting a health technology or policy would change spending for a particular budget holder over a specified period.
The analytical structure, typically built in a spreadsheet, used to estimate the financial consequences of adopting a new health technology.
The practice of building and applying budget impact models to estimate the financial consequences of adopting a health technology.
A measure of predictive discrimination equivalent to the area under the ROC curve, the probability of correctly ranking a random pair of individuals.
A measure of the frequency of healthcare-associated Clostridioides difficile infections within a facility, tracking infection prevention and stewardship performance.
The process of adjusting a model's unobserved or uncertain parameters so its predicted outputs match observed real-world data as closely as possible.
An evaluation of how closely a calibrated model's predicted outputs match the observed data used as calibration targets, typically using formal fit statistics.
A measure of the extent to which an organisation's available capacity, such as beds, is actually used relative to its maximum potential.
A payment methodology giving a fixed amount per enrolled patient over a defined period, regardless of services used, unlike fee-for-service.
The specific fixed amount received per enrolled patient under capitation, typically adjusted for risk factors such as age and health status.
The proportion of people diagnosed with a disease who die from it within a defined period, a measure of disease severity.
A summary statistic representing average patient resource intensity, calculated by averaging relative weights of diagnosis-related groups across a provider's cases.
A relative value assigned to a diagnosis-related group reflecting its expected resource intensity, used to scale payment from a base rate.
An observational design comparing individuals who have experienced an outcome, the cases, against similar individuals who have not, the controls, on prior exposure.
Out-of-pocket healthcare spending by a household exceeding a defined threshold share of its total income, threatening basic financial stability.
The statistical and epistemological methods used to determine whether an observed association between an exposure and outcome reflects a genuine causal relationship.
The probability of surviving without dying from a specific cause of interest, treating deaths from other causes as censoring rather than a competing risk.
A measure of the frequency of catheter-associated urinary tract infections within a facility, tracking infection prevention performance for catheter care.
A situation in survival analysis where the exact time of an event is not observed, either because the study ended or follow-up was lost.
A finite-difference method that approximates a derivative using function values taken at equally spaced points on either side of the point of interest.