Background & Aim: Healthcare classification systems help to gather information and process health data. Nursing management focus on developing computerized records to answer legal, managerial and clinical needs. The Classification systems help organizations to use nursing data. This study investigated informational and structural needs of nursing data classification.

Methods & Materials: This descriptive-comparative study was carried out in 2009. Current classification systems for nursing were investigated and their specifications were gathered in a questionnaire. The items were prioritized by experts in four degrees. Using statistical analysis items with a priority over 80 percent (average 2.4) were selected.

Results: Findings about nursing diagnosis, intervention and outcomes showed that diagnosis item (average 2.93 out of 3), intervention item (average 2.52 out of 3), and outcome item (average 2.84 out of 3) should be presented in the system. Structure of nursing data classification was identified as a hierarchical and combinational classification. The computerized terminology (average 1.86 out of 3) had no priority.

Conclusion: It is suggested to make decisions for standardizing nursing data to use in computerized systems. Since, nursing system in Iran is moving toward defining tariff for nursing services, coding nursing care components will help this plan to be developed.

Background & Aim: Randomized controlled trials often suffer from two major problems, i.e., noncompliance and missing outcomes. One potential solution to this problem is using the intention-to-treat (ITT) analysis approach. Therefore, the aim of this study was to review the concept of ITT and the most important issues related to it in practice since RCT researchers utilize it as a guide in order to improve the quality of RCT studies.

Methods & Materials: A review study was performed using available resources and comprehensive analysis. For this purpose, we searched the relevant articles in databases including Ovid/Medline, SCOPUS, Web of Science, Google scholar and Magiran. The key words that were used included randomized clinical trials, randomized controlled trials, intention-to-treat analysis, per-protocol analysis, ITT, as-treated.

Results: The advantages of ITT, the critique of ITT, the alternatives of ITT and their limitations, missing data and their management in clinical trial studies were discussed in this paper.

Conclusion: ITT approach, due to its adherence to the principles of randomization, protects clinical trials from confounding and bias and therefore leads to the generation of the highest quality scientific evidence in the clinical research field. ITT should be considered a strategy at all stages of research, including the design of study, implementation and data analysis, and it should not be considered only a statistical approach.