Measuring Patient-Reported Outcomes Can Help Identify Patients at Higher Risk for Hospital Readmission, AHRQ Study Finds
Despite widespread efforts to accurately predict which patients are at greatest risk for being readmitted to the hospital within 30 days of discharge, patient-reported outcome measures are infrequently used in predictive models. To find out whether patients’ self-reported views of their health services can accurately predict readmission, a research team at Cook County Health and Hospital System in Chicago administered the Memorial Symptom Assessment Scale and the Patient Reported Outcomes Measurement Information System (PROMIS) Global Health short form to 196 patients at discharge. Patients also took the health assessment surveys at 30, 90 and 180 days after discharge. Patients who scored poorly on the PROMIS measures of general self-rated health and mental health were at greater risk of rehospitalization within 14 days of discharge, researchers found. However, low scores by patients on the Memorial Symptom Assessment Scale and the PROMIS measures of global physical health were better able to predict readmission. Because the sample size of the population was relatively small, researchers acknowledged that the findings may be limited. They recommended that systems to obtain patient-reported outcomes be developed as a routine part of clinical care. The study, “When Do Patient-Reported Outcome Measures Inform Readmission Risk?” andabstract were published online on April 9 in Journal of Hospital Medicine.
J Hosp Med. 2015 May;10(5):294-300. doi: 10.1002/jhm.2366. Epub 2015 Apr 9.
When do patient-reported outcome measures inform readmission risk?
© 2015 Society of Hospital Medicine.
- [PubMed - in process]