Modeling of Electronic Health Management for Islamic Republic of Iran Social Security Organization

Background: Social Security Organization with more than 40 million insured people, supplies therapeutic services to nearly fifty percent of the country’s population. This volume of service needs a good update and on line planning, organizing, coordination, staffing, and budgeting. Electronic health is improving day to day and is a good tool in helping the Social Security Organization in conducting its managerial tasks quickly, accurately and appropriately. This study aimed to design a model for electronic health management in Social Security Organization. Methods: This study was conducted in terms of applied and descriptive – analytical method. Based on literature review and searching scientific articles published in the field of electronic health and conducting a comparative study between selected countries including Turkey, India, Sweden, England, Estonia and Pakistan, a conceptual model for electronic health management was designed for Islamic Republic of Iran Social Security Organization. Then, a questionnaire was developed based on these studies. Validity and reliability of the questionnaire were calculated and was completed by 557 experts in Social Security Organization in the health section. For confirmation and fitting of the factors, exploratory and confirmatory factor analysis were done.   Results: Model fit indices such as Kaiser-Meyer-Olkin evaluation and Bartlett test indicate the appropriateness and sufficient number of samples and the existence of correlations between items in the questionnaire (22 items). Based on the result, after performing the Varimax rotation, 5 factors with special values ​​greater than one were selected, which indicates that the items of this tool were loaded on these 5 factors in the analysis. The first factor alone explains about 23%, the second factor 15%, the third factor 14%, the fourth factor about 11% and the third factor about 9% of the total variance. And in total 5 identified factors explain 72.57% of the total variance of the sample. Indicators, comparative comparators and Tucker-Lewis index are acceptable in the range greater than 0.9. The average square root of the approximation error and the remainder of the standard square root must be less than 0.80. This is the case in Model 5. Of course, the SRMR value is 9,000ths of a percent higher. Also, a model with a smaller value is more appropriate than a model with a lower five-factor index. In general, according to the results, the model with 5 factors is the most suitable model. This model contains 20 items out of 22 items. Conclusion: Based on the results and the study of factors and its relationship with items, 20 items had significant relationship with the related factors. As a result, the obtained model will be able to be implemented in the Social Security Organization. If this model is implemented, future studies for evaluation and monitoring will be necessary to improve the model.