IDEAS home Printed from https://ideas.repec.org/a/alu/journl/v1y2014i16p22.html
   My bibliography  Save this article

Modeling User Satisfaction Of Medical Educational Services

Author

Listed:
  • Ivona Stoica
  • Anamaria-Cătălina Radu
  • Andra Dobrescu
  • OlguÅ£a Anca Orzan

Abstract

This study aims to create a conceptual model for users satisfaction of medical educational services who attended the training professional sessions in the project called †Professional training for implementing new technologies in the health care system." The results of the research obtaind from the multivariate analysis on user satisfaction of medical educational services was conceptualized and testedby creating a model to identify the main factors that influence the participants' satisfaction. The main factors that define the conceptual model are quality medical education, medical utility of the provided information, the location where the professional medical education training sessions were developed, and the control effects such as graduate institution prestige, respondents' age, medical specialty, number of years of practice of the medical specialty. To test the model, data were operated and analyzed using the IBM SPSS Statistics 20.

Suggested Citation

  • Ivona Stoica & Anamaria-Cătălina Radu & Andra Dobrescu & OlguÅ£a Anca Orzan, 2014. "Modeling User Satisfaction Of Medical Educational Services," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(16), pages 1-22.
    • Handle: RePEc:alu:journl:v:1:y:2014:i:16:p:22
    as

    Download full text from publisher

    File URL: http://oeconomica.uab.ro/upload/lucrari/1620141/22.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    satisfaction; medical educational services; european funds; conceptual modeling;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • I10 - Health, Education, and Welfare - - Health - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alu:journl:v:1:y:2014:i:16:p:22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dan-Constantin Danuletiu (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.