PURPOSE. To identify nursing diagnoses identified in patients in a medical-surgical unit.
METHODS. Data were collected through interviews and physical examination of 60 patients on a female ward in order to formulate NANDA diagnoses. The data collection tool was based on Gordon's 11 Functional Health Patterns. Four researchers with medical-surgical nursing expertise reached the nursing diagnosis through consensus.
FINDINGS. A total of 338 diagnoses were identified from 49 different categories. Nineteen categories were identified in more than 10% of the sample: risk for infection (58%), pain (50%), constipation (42%), activity intolerance (35%), sleep pattern disturbance (28%), altered physical mobility (27%), impaired skin integrity (27%), fatigue (25%), sexual pattern dysfunction (23%), anxiety (23%), risk for ineffective manipulation of therapeutic regimen (20%), risk for trauma (20%), risk for impaired skin integrity (18%), ineffective coping (18%), altered nutrition: more than body requirements (12%), impaired communication (12%), urinary incontinence (10%), fluid volume excess (10%), and altered nutrition: less than body requirements (10%).
The most frequent diagnoses related to Health Functional Patterns were identified in health control and perception, with 28% of the 338 formulated diagnoses, activity-exercise and nutritional-metabolic with 20% each.
CONCLUSIONS. There was great diversity in the quality of the reported needs in the studied sample, which demands extensive knowledge and a wide range of abilities to identify needs as well as implement care in the affected patients. Studies such as this one will enhance delineation of the nursing knowledge base in order to justify allocation of human resources in specific areas.
