Literature DB >> 25914304

When do patient-reported outcome measures inform readmission risk?

Keiki Hinami1, Jennifer Smith, Catherine D Deamant, Kayle DuBeshter, William E Trick.   

Abstract

OBJECTIVE: To characterize changes in patient-reported outcome measures from hospital discharge to assess when they best inform risk of utilization as defined by readmissions or emergency department use. PARTICIPANTS: Patients discharged from an urban safety-net hospital.
DESIGN: Longitudinal cohort study. MAIN MEASURES: We serially administered the Memorial Symptom Assessment Scale (MSAS) and the PROMIS Global Health short form assessing General Self-Rated Health (GSRH), Global Physical (GPH), and Mental (GMH) Health at 0, 30, 90, and 180 days from hospital discharge. Time to first utilization from each survey was plotted by dichotomizing our sample on each patient-reported measure, and equivalence of the time-to-event curves was assessed using the log-rank test. Cox proportional hazard models were used to control for available covariates including prior utilization during the study, Charlson score, age, gender, and race/ethnicity. We assessed each measure's effect on the fit of the predictive models using the likelihood ratio test. KEY
RESULTS: We recruited 196 patients, of whom 100%, 98%, 90%, and 88% completed each respective survey wave. Participants' mean age was 52 years, 51% were women, 60% were non-Hispanic black, and 21% completed the questionnaires in Spanish. In-hospital assessments revealed high symptom burden and poor health status. In-hospital assessments of GMH and GSRH predicted 14-day reutilization, whereas posthospitalization assessments of MSAS and GPH predicted subsequent utilizations. Each measure selectively improved predictive model fit.
CONCLUSIONS: Routine measurement of patient-reported outcomes can help identify patients at higher risk for utilizations. At different time points, MSAS, GPH, GMH, and GSRH all informed utilization risk.
© 2015 Society of Hospital Medicine.

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Year:  2015        PMID: 25914304     DOI: 10.1002/jhm.2366

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  5 in total

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2.  PROMIS®-29 v2.0 profile physical and mental health summary scores.

Authors:  Ron D Hays; Karen L Spritzer; Benjamin D Schalet; David Cella
Journal:  Qual Life Res       Date:  2018-03-22       Impact factor: 4.147

3.  Using electronic health record data for substance use Screening, Brief Intervention, and Referral to Treatment among adults with type 2 diabetes: Design of a National Drug Abuse Treatment Clinical Trials Network study.

Authors:  Li-Tzy Wu; Kathleen T Brady; Susan E Spratt; Ashley A Dunham; Brooke Heidenfelder; Bryan C Batch; Robert Lindblad; Paul VanVeldhuisen; Shelley A Rusincovitch; Therese K Killeen; Udi E Ghitza
Journal:  Contemp Clin Trials       Date:  2015-11-10       Impact factor: 2.226

4.  Impact of using patient-reported outcome measures in routine clinical care of paediatric patients with chronic conditions: a systematic review protocol.

Authors:  Sumedh Bele; Bijan Mohamed; Ashton Chugh; Lotte Haverman; Maria-Jose Santana
Journal:  BMJ Open       Date:  2019-03-30       Impact factor: 2.692

5.  Predictive model of multiple emergency department visits among adults: analysis of the data from the National Survey of Drug Use and Health (NSDUH).

Authors:  Georgiy Bobashev; Lauren Warren; Li-Tzy Wu
Journal:  BMC Health Serv Res       Date:  2021-03-25       Impact factor: 2.655

  5 in total

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