Purpose: As part as a large research with the objective of defining a model of management of quality nursing care based on reflection for / on valid information (from the learning model of Argirys & Schön, 1982), we tried to identify the outcomes of patients and families in context of long-term care at home.
Methodology: We analyzed the nurse records (software - SAPE®) and exported the data to a Microsoft Access© database.
The analysis was performed through the Statistical Package for Social Sciences - SPSS (version 18.0, SPSS Inc, Chicago, USA). A data analysis was carried out to characterize the sample through a descriptive and inferential statistical analysis (Pollit & Hungler 1995; Gil, 1999). The information records (diagnostics, interventions, outcomes) by the nurses in the clinical records (Software - SAPE®), between September and December 2012 were the material for analysis.
Results: We have gathered the outcomes by several areas, those that belong to the patient's condition like the patient's knowledge, the patient's capacities, prevention (potential problems), and those about the condition of the family caregiver like the family caregiver's knowledge, and total outcomes. It was impossible to generate outcomes in all areas in the 191 cases. Regarding the integumentary system, it was possible to generate indicators in 158 patients, 110 patients had outcomes related to their condition, 103 with the knowledge of family caregivers, 100 related to potential problems, 68 with family caregivers capacities, 40 patients had outcomes related to knowledge and 13 with the capabilities. Regarding self-care outcomes indicators were generated in 155 patients. Therefore, the indicators generated, 145 cases had outcomes related to their condition, 116 to the knowledge of the family caregiver, 100 to the capacities of the family caregiver, 67 outcomes about the patient's knowledge and 56 about the abilities.
Conclusion: In order to better understand the nursing outcomes in patients in the context of long-term care, a model based on 4 variables was generated through clusters analysis. Like the proportion of outcomes in the patient global condition, proportion of outcomes in independence, proportion of outcomes in the patient capacities and proportion of outcomes in the patient knowledge; which is good (0,6). This model has 2 clusters, the largest with 33 cases (57.9%) that we designated as "Patient with a lower percentage of outcomes"; and the lowest with 24 cases (42.1%) "Patient with a higher percentage of outcomes". The ratio of highest to lowest is 1.38. The outcomes are important to reflect the nursing practice turned to quality of care