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: Patients often build their perceptions about the quality of health services on the care provided for them in hospitals by nurses. The present study aimed to assess the relationship between the job satisfaction and burnout among nurses with patients' satisfaction in Shiraz hospitals in 2012 .

  Methods & Materials: In this cross-sectional study, participants were selected through a multi-stage sampling . A total of 280 nurses and 560 patients were recruited to the study. Data were collected using the Spector's job satisfaction and the Maslach Burnout questionnaire s. The structural equation modeling and the confirmatory factor analysis were used to analyze the data in the SPSS and AMOS . 

  Results: There were significant relationships between the nurses' job satisfaction and burnout with the patients' satisfaction. Also , there was a negative and significant relationship between the job satisfaction with burnout among nurses (P<0.001) .

  Conclusion: T he factors affecting job satisfaction and burnout among nurses should be considered in promoting health care provided by nurses .