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PURPOSE. To increase awareness of the many issues involved in measuring the dose of nursing intervention in nursing interventions effectiveness research. METHODS. Identify critical issues in measurement of the dose of nursing intervention and discuss decisions regarding dosage measurement made in a study of the effectiveness of nursing interventions. FINDINGS. A single method can be applied to resolve two critical issues in intervention dosage measurement. CONCLUSIONS. Those conducting nursing interventions effectiveness research must think explicitly about how intervention dosage will be measured and reported so that dosage can be replicated in research and practice. PRACTICE IMPLICATIONS. Measuring and reporting the dose of nursing intervention in research is essential to the development of an evidence base adequate to support practice. [ABSTRACT FROM AUTHOR]

Objective: To determine the impact of patient characteristics, clinical conditions, hospital unit characteristics, and health care interventions on hospital cost of patients with heart failure., Data Sources/study Setting: Data for this study were part of a larger study that used electronic clinical data repositories from an 843-bed, academic medical center in the Midwest., Study Design: This retrospective, exploratory study used existing administrative and clinical data from 1,435 hospitalizations of 1,075 patients 60 years of age or older. A cost model was tested using generalized estimating equations (GEE) analysis., Data Collection/extraction Methods: Electronic databases used in this study were the medical record abstract, the financial data repository, the pharmacy repository; and the Nursing Information System repository. Data repositories were merged at the patient level into a relational database and housed on an SQL server., Principal Findings: The model accounted for 88 percent of the variability in hospital costs for heart failure patients 60 years of age and older. The majority of variables that were associated with hospital cost were provider interventions. Each medical procedure increased cost by $623, each unique medication increased cost by $179, and the addition of each nursing intervention increased cost by $289. One medication and several nursing interventions were associated with lower cost. Nurse staffing below the average and residing on 2-4 units increased hospital cost., Conclusions: The model and data analysis techniques used here provide an innovative and useful methodology to describe and quantify significant health care processes and their impact on cost per hospitalization. The findings indicate the importance of conducting research using existing clinical data in health care.