The Relationships Among Nursing Diagnoses in Discharge Planning for Patients With Lung Cancer

An explanatory study was designed to investigate whether nursing diagnoses present at discharge from the hospital accurately describe the complexity of care required in the community. A sample of 196 patients with lung cancer referred to community agencies at discharge was described by types of nursing diagnoses; types of agencies needed and services required; and by age, gender, race, economic status, and hospital length of stay. Using multiple logistic regression, a model for home care referral resulted in four significant predictor diagnoses: altered nutrition: less than body requirements, bathing/hygiene self-care deficit, high risk for infection, and high risk for injury. The model for hospice referral resulted in four significant predictor diagnoses: anticipatory grieving, impaired skin integrity, high risk for impaired skin integrity, and pain. The data suggest that the nursing diagnoses described the discharge planning needs, which predicted the type of agency referral needed.