OBJECTIVE: To develop and validate a prediction rule screening instrum
ent, easily incorporated into the routine hospital admission assessmen
t, that could facilitate discharge planning by identifying patients at
the time of admission who are most likely to need postdischarge medic
al services. DESIGN: prospective cohort study with separate phases for
prediction rule development and validation. SETTING: Urban teaching h
ospital. PATIENTS/PARTICIPANTS: 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 di
scharged alive. MEASUREMENTS AND MAIN RESULTS: Use of postdischarge me
dical services such as visiting nurse or physical therapy, medical equ
ipment, or placement in a rehabilitation or longterm care facility was
determined. A prediction rule based on a patient's age and Medical Ou
tcomes Study 36-Item Short Form Health Survey (SF-36) physical functio
n and social function scores stratified patients with regard to their
risk of using postdischarge medical services. In the validation set, t
he 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. CONCLUSI
ONS: This prediction rule stratified general medical patients with reg
ard to their likelihood of needing discharge planning to arrange for p
ostdischarge medical services. Further research is necessary to determ
ine whether prospective identification of patients likely to need disc
harge planning will make the hospital discharge planning process more
efficient.