A stochastic model to measure patient effects stemming from hospital-acquired infections
1982
Operations Research
6
30
1105-1133
Journal_Article
Infectious_Disease_Medicine
Probability_Markov_processes||Statistics
Yes
No
Article Link
Kastner, G. T. S., Richard H. (1982). A Stochastic Model to Measure Patient Effects Stemming from Hospital-Acquired Infections. [Journal Article]. Operations Research, 30(6), 1105-1133.
We introduce a Markov chain model to represent a patient's path in terms of the number and type of infections s/he may have acquired during a hospitalization period. The model allows for categories of patient diagnoses, surgery, the four major types of nosocomial (hospital-acquired) infections, and discharge or death Data from a national medical records survey including 58,647 patients enable us to estimate transition probabilities and, ultimately, perform statistical tests of fit, including a validation test. Novel parameterizations (functions of the transition matrix) are introduced to answer research questions on time-dependent infection rates, time to discharge or death as a function of patient diagnostic groups and conditional infection rates reflecting intervening variables (e.g., surgery).