IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v30y1990i7p811-818.html
   My bibliography  Save this article

Patient sociodemographic characteristics as predictors of satisfaction with medical care: A meta-analysis

Author

Listed:
  • Hall, Judith A.
  • Dornan, Michael C.

Abstract

A meta-analysis was performed to examine the relation of patients' sociodemographic characteristics to their satisfaction with medical care. The sociodemographic characteristics were age, ethnicity, sex, socioeconomic status (three indices), marital status, and family size. Greater satisfaction was significantly associated with greater age and less education, and marginally significantly associated with being married and having higher social status (scored as a composite variable emphasizing occupational status). The average magnitudes of relations were very small, with age being the strongest correlate of satisfaction (mean r = 0.13). No overall relationship was found for ethnicity, sex, income, or family size. For all sociodemographic variables, the distribution of correlations was significantly heterogeneous, and statistical contrasts revealed the operation of several moderating variables. The meaning of the overall results and their relation to earlier reviews is discussed.

Suggested Citation

  • Hall, Judith A. & Dornan, Michael C., 1990. "Patient sociodemographic characteristics as predictors of satisfaction with medical care: A meta-analysis," Social Science & Medicine, Elsevier, vol. 30(7), pages 811-818, January.
    • Handle: RePEc:eee:socmed:v:30:y:1990:i:7:p:811-818
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0277-9536(90)90205-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:socmed:v:30:y:1990:i:7:p:811-818. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.