Using standardized nursing data for knowledge generation – Ward level analysis of point of care nursing documentation

Background: Standardized nursing terminology is a prerequisite for describing nursing care processes and generating knowledge for decision-making and management. The structure of the Finnish Care Classification (FinCC) facilitates documentation of nationally agreed core nursing data: nursing diagnoses, interventions, and outcomes. Purpose: To analyze the use of FinCC to assess patient care needs (nursing diagnoses), care implementations (interventions) and evaluation of the outcomes of nursing care in electronic health records. Methods and materials: The descriptive study applied purposeful sampling of nursing data from nursing data repositories in three surgical wards in tertiary and secondary care hospitals. The aggregated, anonymous ward level data from a six-month period was analyzed to show distributions within frequencies and means of component, main and subcategory level use of FinCC in the three hospitals. Results: Each of the three levels of the FinCC (component, main and subcategory) were used for recording nursing care. In all hospitals, the three most used diagnosis components covered about one third of the use of all the 17 components. The five most used intervention components cover about one third of the components. The most often used components for diagnoses and interventions were Coordination of care and follow-up care, Pain Management, Activities of daily living and independence and Medication. The prevalence of different components and the main and subcategory level usage for both diagnoses and interventions varied between the hospitals. Conclusion: Standardized point-of-care nursing data makes patients’ daily nursing care transparent. Structured, standardized, and point-of-care nursing data can be utilized to generate new knowledge of nursing care processes and nursing care practice at ward leve