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Research article summary:

A paradigm shift in patient satisfaction assessment.

Abstract Extract:
The authors investigated the relationships between patients reactions to health care attributes and their overall satisfaction with primary care. The study found the following: (1) patients overall satisfaction levels are disproportionately influenced by ... (Full abstract text below)

Published 2003Sep in Journal: Med Care Res Rev (Language : eng)

Full Pubmed Extract

This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:

1. Med Care Res Rev. 2003 Sep;60(3):347-65

A paradigm shift in patient satisfaction assessment.

Otani K, Harris LE, Tierney WM

Indiana University-Purdue University, Fort Wayne, USA.

The authors investigated the relationships between patients' reactions to health care attributes and their overall satisfaction with primary care. The study found the following: (1) patients' overall satisfaction levels are disproportionately influenced by low levels of their reactions (less satisfied) to the primary care attribute, rather than simply averaged out among attribute reactions. This is a noncompensatory relationship. (2) The marginal impact of primary care attributes on overall satisfaction decreases at higher levels of patients' reactions (more satisfied) to primary care attributes, indicating a nonlinear relationship. Patients combine their reactions to the health care attributes by means of noncompensatory and nonlinear models to form their overall satisfaction. Decision makers should selectively concentrate training resources on those areas of attributes showing high dissatisfaction rather than attempt to improve an attribute that showed the largest parameter estimate. This approach would not only save resources but result in better outcomes of patient satisfaction.

PMID : 12971233 [PubMed - Indexed for MEDLINE]


This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.

Full Author Information

First NameLastNameInitials
KoichiroOtaniK
Lisa EHarrisLE
William MTierneyWM

Affiliation: Indiana University-Purdue University, Fort Wayne, USA.

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MESH categories and related page links

This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.

Category links from this article:

  • Adult
  • Aged
  • Decision Making
  • Female
  • Health Care Surveys
  • Health Resources - utilization
  • Health Services Accessibility
  • Humans
  • Indiana
  • Male
  • Middle Aged
  • Nonlinear Dynamics
  • Organizational Innovation
  • Patient Satisfaction - ethnology, statistics & numerical data
  • Primary Health Care - standards
  • Psychometrics
  • Quality Indicators, Health Care
  • Quality of Health Care
  • Questionnaires
   

Related Memletics topics:

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