IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v12y1988i2p153-169.html
   My bibliography  Save this article

Reliable Assessment Data in Multisite Programs

Author

Listed:
  • Ruby Abrahams

    (Brandeis University)

  • Jay N. Greenberg

    (Life Plans, Inc.)

  • Leonard Gruenberg

    (Brandeis University)

  • Sara Lamb

    (Kaiser Permanente, Portland, OR)

Abstract

Evaluation of long-term care programs has suffered from a lack of comparable, reliable data, both within and across programs. This article discusses a methodology for development of clinical/research assessment tools, training of assessment interviewers, and ongoing checking of interrater reliability, applied to a multisite national health and long-term care demonstration. Audio tapes of case managers' clinical assessment interviews are extensively used. Reliability results are fed back into an ongoing training program. First year results are reported, showing steady improvement across all sites in reliability of data from a complex assessment instrument. The program has potential for wide application and improvement of data bases that are important for future development of public policy in long-term care.

Suggested Citation

  • Ruby Abrahams & Jay N. Greenberg & Leonard Gruenberg & Sara Lamb, 1988. "Reliable Assessment Data in Multisite Programs," Evaluation Review, , vol. 12(2), pages 153-169, April.
    • Handle: RePEc:sae:evarev:v:12:y:1988:i:2:p:153-169
    DOI: 10.1177/0193841X8801200203
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X8801200203
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X8801200203?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. German, P.S., 1981. "Measuring functional disability in the older population," American Journal of Public Health, American Public Health Association, vol. 71(11), pages 1197-1199.
    2. repec:mpr:mprres:590 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Catherine Hagan Hennessy & John K.M. Shen, 1986. "Sources of "Unreliability" in Multidisciplinary Team Assessment of the Elderly," Evaluation Review, , vol. 10(2), pages 178-192, April.

    More about this item

    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:sae:evarev:v:12:y:1988:i:2:p:153-169. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (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.