[Factors influencing nurses' readiness to implementation of electronic health records]

Introduction: Personnel readiness is the major factor for implementation of Electronic Health Records [EHR]. On the other hand, nurses play an important role to the delivery of care. This study aimed to determine factors influencing nurses' readiness to implement EHR

Methods: This descriptive - cross sectional study was conducted on the nurses in the teaching hospital affiliated to Golestan University of Medical Sciences in 2013. The data was collected by a valid and reliable structured questionnaire. Data was analyzed using Descriptive statistics

Results: Data analysis indicated that the factor of perception and awareness of the characteristics and advantages of EHR [4.76 +/- 0.45] had the highest score, whereas the factor of ensuring the security and confidentiality in the EHR [4.21 +/- 0.81] and participation in the design and implementation phase of EHR [4.29 +/- 0.71] had the lowest score

Conclusion: The most obvious finding to emerge from this study is that most nurses believe that awareness of benefits and understanding of EHR concepts, increases their readiness to implement EHR. Thus, this issue should be considered by policy makers of information technologies

Effects of Nigella sativa L. seed oil in type II diabetic patients: a randomized, double-blind, placebo - controlled clinical trial

Nigella sativa [N. sativa] seeds are used to treat diabetes mellitus in traditional medicine. Moreover, N. sativa oil has reduced the fasting blood glucose level in non-diabetic volunteers. The present study was undertaken to explore the possible anti-hyperglycemic effect of N. sativa oil in type 2 diabetic patients. A randomized clinical trial was conducted in 70 type 2 diabetic patients referring to Baqiyatallah Hospital. The subjects were enrolled into two groups of 35 each. One group received 2.5 ml N. sativa oil and the other group received similarly 2.5 ml mineral oil two times a day for three months. The fasting and 2 hour postprandial blood glucose, glycosylated hemoglobin [HbA1c], lipid profile, BMI [body mass index], liver and renal function test were determined at the baseline and after three months. The blood levels of fasting and 2 hours postprandial glucose and HbA1c were significantly decreased in the N. sativa group compared with the placebo group at the end of the study. The BMI of the N. sativa group was decreased significantly from baseline. No side effects were reported. N. sativa oil improves glycernic control in type 2 diabetic patients without any side effects

[A comparison of data elements of nursing minimum data set]

Introduction: Standard data processing plays an important role in patient care. Nursing data forms the first level of nursing informatics. These are essential tools for documentation of nursing process by methodology of assessment, diagnosis, interventions, outcomes, evaluation and documentation of patient care. Nursing minimum data set [NMDS] is the first action for standardization of gathering unified and essential nursing data for using in multiple sets and patient groups. The objective of this research was comparison of data elements of nursing minimum data set

Methods: This was a descriptive-comparative study and was done at 2009. Nursing minimum data set in the US, Thailand, Belgium, Finland, Canada, Netherlands, Swiss surveyed. Data collection was performed through internet search, books and journals. Results presented in statistical tables

Result: Findings showed that all countries had a national NMDS. In all NMDSs, Nursing data elements divided to three groups: Nursing care, patient and service elements. There is a nursing minimum data set for nursing management in US. There is no NMDS in Iran

Conclusion: Since every countries of this study have a domestic NMDS and also there is no standard in Iran for which data elements must include in Electronic Health Records, then creating an Iranian Nursing Minimum Data Set [IrNMDS] is essential. For identifying Iranian NMDS, we recommend that a professional and legal organization administer to creating of a NMDS

[Informational and structural needs of nursing data classification in computerized systems]

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. 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. 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. 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