جستجوی مقالات مرتبط با کلیدواژه "organization (sso)" در نشریات گروه "پزشکی"

Social Security Organization (SSO) provides healthcare services to the insured directly and indirectly. The purpose of this study was performance trend analysis of direct and indirect treatment of the SSO over the past 25 years and examining the correlation between them.

In this descriptive study that required data were obtained from SSO website, trend of direct and indirect treatment sectors performance of SSO was analyzed during the past 25 years (1993 to 2018) using Dynamic Multiple Attribute Decision Making (DMADM) with the help of Excel 2010 software by considering each year as an alternative and 21 key attributes that weights were determined using Entropy method. Also, Pearson correlation coefficient between direct and indirect treatment performance was calculated with the help of SPSS 16 software.

The trend of both types of treatment was incremental until 2007, then direct treatment was decreasing, but indirect treatment up to 2013 had a decreasing trend and after that had an increasing trend. The correlation coefficient of Pearson was equal to 0.912 until 2013 and from 2013 onwards equal to -0.991 (p-value ≤0.05 for both) which shows a direct, strong and significant relationship between the performance of direct and indirect treatment up to 2013 and strong, significant and inverse relationship afterwards.

According to the results of data analysis, it seems that new strategy of SSO has been providing more healthcare services indirectly by healthcare purchasing from government and private sectors.

Nowadays efficiency analysis due to identification of weaknesses, strengths and amount utilization of available resources is important. The purpose of this study was efficiency analysis and ranking of provincial units of Social Security Organization (SSO) in indirect treatment sector.

In this descriptive cross-sectional study, technical, managerial and scale efficiencies of SSO in 31 provinces of Iran by input oriented model of Data Envelopment Analysis (DEA) with assuming variable returns to scale were analyzed and the provinces were ranked using the Anderson-Peterson model. The input variables included number of specialized staff, number of support staff, income amount of each province and the output variables included number and cost of prescriptions that have been investigated. The required data were adapted from the 2017 SSO Statistical Yearbook and data analysis was performed using DEAP 2.1 and EMS 1.3.0 software.

Average scores of technical efficiency 0.880, managerial efficiency 0.818, and scale efficiency 0.928 were calculated. Based on above efficiency scores, Kohgiluyeh and Boyerahmad and Tehran ranked first and Kerman ranked last.

In general, there is capacity of technical, managerial and scale efficiency improvement respectively 12%, 18.2% and 7.2% in indirect treatment sector of SSO. Therefore, weak and inefficient provinces should be placed in the priority of improving efficiency. This can be achieved through imitation of efficient provinces, implementing electronic prescribing and more accurate management of SSO revenues and number of human resources employed in the indirect treatment sector.