Cited by 736Patient Satisfaction in HealthcareCustomer Service Quality and LoyaltyHealthcare Quality and Management

Assessment of patient satisfaction: Development and refinement of a Service Evaluation Questionnaire

Nguyen, Tuan D., Attkisson, C.Clifford, Stegner, Bruce L.·1983·Evaluation and Program Planning

Abstract

A series of seven studies was conducted by the authors and their colleagues to produce an efficient measure of service satisfaction that can easily be related to symptom level, demographic characteristics, and type and extent of service utilization. The resulting measure, the Service Evaluation Questionnaire (SEQ) is a brief, global index that has excellent internal consistency and solid psychometric properties. Data from an extensive SEQ field study can be used as a comparison base for future applications of the two SEQ component scales, the CSQ-8 and the SCL-10. A new hypothesis has emerged from this series of studies that will guide future research: Service recipients may find if difficult to formally express dissatisfaction in the face of significant caring--however ineffectual--when the technical capacity to offer definitive treatment is not yet fully developed and when criteria for evaluating the efficacy of treatment are not yet crystal clear.

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Crossref · 10.1016/0149-7189(83)90010-1

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Authors
Nguyen, T. D., Attkisson, C. C., & Stegner, B. L.
Affiliations
University of California, San Francisco (US)
Corresponding author
Attkisson, C.Clifford
Venue
Evaluation and Program Planning
Publisher
Elsevier BV
Published
1983-01
Volume
6
Issue
3-4
Pages
299-313
ISSN
0149-7189 (ISSN-L)
OpenAlex
W1987764639
Cited by
736
References
25
Citations by year
2026: 24 · 2025: 20 · 2024: 25 · 2023: 21 · 2022: 29 · 2021: 31 · 2020: 34 · 2019: 33 · 2018: 29 · 2017: 41 · 2016: 27 · 2015: 34 · 2014: 37 · 2013: 26 · 2012: 28
FWCI
24.45
Type
journal article
Language
en
Open access
closed
Locations
  • Evaluation and Program Planning (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
National Institutes of Health (2s07rr005755-18)
Topics
  • Health Sciences › Health Professions › General Health Professions › Patient Satisfaction in Healthcare
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
  • Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
Keywords
patient satisfaction, psychometric properties, internal consistency, symptom levels, service utilization, treatment efficacy, patient dissatisfaction, psychosocial services
MeSH terms
Analysis of Variance, Consumer Behavior, Health Services Research, Surveys and Questionnaires, United States

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