The evidence suggests that a discharge plan tailored to the individual patient probably brings about reductions in hospital length of stay and readmission rates for older people admitted to hospital with a medical condition. The impact of discharge planning on mortality, health outcomes and cost remains uncertain.
The feasibility and efficacy of early discharge planning initiated by the admitting department in two acute care hospitals.
To determine the feasibility and efficacy of early discharge planning, initiated by admitting department personnel, a randomized, controlled trial was undertaken in 2 acute care, university-affiliated hospitals. The intervention tested was referral of patients by admitting personnel to nursing, social work, physiotherapy, occupational therapy, or dietary services for potential discharge planning. A 1-page, 65-item questionnaire was designed to identify patients for referral to the various allied health services. A copy of this was sent to the appropriate service, according to predefined criteria. The questionnaire took an average of 4 min to complete. The criteria used were highly predictive of length of stay, the most important being age, followed by living outside St. John's, admission within the previous 3 months, emergency admission, and being in need of community services. In Hospital A, the cases (n = 421) referred for early discharge planning had significantly shorter length of stay (Mantel-Cox, p = 0.03) than controls (n = 420), who were identical for all factors predictive of prolonged length of stay. The reduction in length of stay amounted to a mean of 0.8 d. In Hospital B (n = 758), the intervention was less effective because of a lower proportion of patients with factors associated with prolonged hospital stay and, perhaps, because of inadequate implementation of the program. We conclude that identification, by admitting department personnel, of patients who may benefit from early discharge planning is feasible. This process will reduce length of hospital stay, but its effectiveness is dependent on case mix variables and enthusiastic implementation of the program.