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Predicting Patient Follow-Through on Telephone Nursing Advice

Author

Listed:
  • Barbara G. Valanis

    (Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon)

  • Christina M. Gullion

    (Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon)

  • Susan Randles Moscato

    (School of Nursing, University of Portland, Oregon)

  • Christine Tanner

    (School of Nursing, Oregon Health & Science University, Portland, Oregon)

  • Shigeko Izumi

    (School of Nursing, Oregon Health & Science University, Portland, Oregon)

  • Susan E. Shapiro

    (Education, Research, and Clinical Practice, UCSF Medical Center, Department of Nursing, San Francisco, California)

Abstract

Although use of telephone advice nursing services continues to grow, little research has addressed factors that affect crucial call outcomes like follow-through on the advice given. This article describes aspects of the advice call process and examines predictors of caller follow-through, using a conceptual model derived from the literature and the authors' preliminary work. Calls to call centers and medical offices of a large health maintenance organization were taped, then content was coded and matched with caller questionnaire (CQ) data. Out of 1,863 participants, 1,489 reported following all the advice. In the final multivariate predictive model, statistically significant predictors of follow-through were patient health status, caller's rating of nurse helpfulness, and the extent to which caller expectations for collaboration were met and the caller understood the advice given. Results suggest that nurses should receive continuous training on effective communication techniques, and advice nurse performance standards that create barriers to communication should be modified.

Suggested Citation

  • Barbara G. Valanis & Christina M. Gullion & Susan Randles Moscato & Christine Tanner & Shigeko Izumi & Susan E. Shapiro, 2007. "Predicting Patient Follow-Through on Telephone Nursing Advice," Clinical Nursing Research, , vol. 16(3), pages 251-269, August.
    • Handle: RePEc:sae:clnure:v:16:y:2007:i:3:p:251-269
    DOI: 10.1177/1054773807303055
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