This study aims to determine whether specific items from two questionnaires currently in use at Kaiser Permanente Northern California (the Your Current Life Situation questionnaire and selected functional status questionnaires from the National Institutes of Health’s Patient Reported Outcomes Measurement System) could enhance the ability to predict a patient’s risk of rehospitalization. To achieve this goal, approximately 2,000 patients will be approached on the day of discharge at three hospitals with a target goal of enrolling 1,600. Data from the questionnaires will be combined with other electronic data in order to modify existing algorithms used in the current Kaiser Permanente Northern California real-time rehospitalization prediction model.
Social and Functional Predictors of Rehospitalization: YCLS and PROMIS
Investigator: Escobar, Gabriel
Funder: Kaiser Permanente Program Offices