title: A prediction rule for the use of postdischarge medical services.
abstract: OBJECTIVE
  To develop and validate a prediction rule screening instrument, easily incorporated into the routine hospital admission assessment, that could facilitate discharge planning by identifying patients at the time of admission who are most likely to need postdischarge medical services.
  
  
  METHODS
  Prospective cohort study with separate phases for prediction rule development and validation.
  
  
  METHODS
  Urban teaching hospital.
  
  
  METHODS
  General medical service patients, 381 in the derivation phase and 323 in the validation phase, who provided self-reported medical history, health status, and demographic data as a part of their admission nursing assessment, and were subsequently discharged alive.
  
  
  RESULTS
  Use of postdischarge medical services such as visiting nurse or physical therapy, medical equipment, or placement in a rehabilitation or long-term care facility was determined. A prediction rule based on a patient's age and Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) physical function and social function scores stratified patients with regard to their risk of using postdischarge medical services. In the validation set, the rate of actual postdischarge medical service use was 15% (15 of 97), 36% (39 of 107), and 58% (57 of 98) among patients characterized by the prediction rule as being at "low", "intermediate," and "high" risk of using postdischarge medical services, respectively.
  
  
  CONCLUSIONS
  This prediction rule stratified general medical patients with regard to their likelihood of needing discharge planning to arrange for postdischarge medical services. Further research is necessary to determine whether prospective identification of patients likely to need discharge planning will make the hospital discharge planning process more efficient.
authors.affiliation: Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass., USA.
authors.forename: D G
authors.initials: DG
authors.lastname: Fairchild
authors.forename: M L
authors.initials: ML
authors.lastname: Hickey
authors.forename: E F
authors.initials: EF
authors.lastname: Cook
authors.forename: R M
authors.initials: RM
authors.lastname: McCarthy
authors.forename: L P
authors.initials: LP
authors.lastname: Rossi
authors.forename: S C
authors.initials: SC
authors.lastname: Timmons
authors.forename: C M
authors.initials: CM
authors.lastname: Mangione
authors.forename: T H
authors.initials: TH
authors.lastname: Lee
mesh_terms: D005260:Female; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010351:Patient Discharge; D011182:Postoperative Care