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Predictors of Patient Satisfaction With Telephone Nursing Services

Author

Listed:
  • Susan Randles Moscato

    (University of Portland, School of Nursing, Oregon)

  • Barbara Valanis

    (Kaiser Permanente Northwest, Portland, Oregon)

  • Christina M. Gullion

    (Kaiser Permanente Northwest, Portland, Oregon)

  • Christine Tanner

    (Oregon Health and Science University, Portland)

  • Susan E. Shapiro

    (University of California—San Francisco Medical Center)

  • Shigeko Izumi

    (Oregon Health and Science University, Portland)

Abstract

Patient satisfaction has been shown to be a factor in clinical outcomes, health care quality, and patient follow-through. Thus, a high level of satisfaction is a desired outcome of patient care. This article examines predictors of patient satisfaction with telephone nursing services among a sample of 1,939 respondents, using a conceptual model derived from the literature and preliminary work. The study was conducted in medical offices and call centers of a large national health maintenance organization. Calls were taped and content coded and then matched with caller questionnaire data. In the final multivariate predictive models, patient health status; caller ratings of expectations met by the nurse for listening, clarity, and collaboration; and nurse competence were the strongest predictors of satisfaction. Consistent with the literature, findings suggest that nurses should expand interpersonal communication skills, and systems should reduce barriers to effective listening, clarity, and collaboration with callers.

Suggested Citation

  • Susan Randles Moscato & Barbara Valanis & Christina M. Gullion & Christine Tanner & Susan E. Shapiro & Shigeko Izumi, 2007. "Predictors of Patient Satisfaction With Telephone Nursing Services," Clinical Nursing Research, , vol. 16(2), pages 119-137, May.
    • Handle: RePEc:sae:clnure:v:16:y:2007:i:2:p:119-137
    DOI: 10.1177/1054773806298507
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    References listed on IDEAS

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    1. Guadagnoli, Edward & Ward, Patricia, 1998. "Patient participation in decision-making," Social Science & Medicine, Elsevier, vol. 47(3), pages 329-339, August.
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