Abstract | BACKGROUND: Patient satisfaction represents an essential part of quality management. Measuring the degree of patient satisfaction can be achieved with a variety of tools such as postoperative visits and patient questionnaires. The primary aim of this study was to quantify the degree of patient satisfaction with anaesthesia. A secondary aim was to compare the questionnaire technique with standardised face-to-face interviewing. METHODS: The authors prospectively studied 700 patients on the second postoperative day. Patients were randomised and allocated to complete either a written questionnaire or to answer the same questions during a standardised face-to-face interview. The questionnaire was subdivided into a set of questions on anaesthesia-related discomfort and another set on satisfaction with anaesthesia care in general. The questions on discomfort were assessed on a 3-point scale, and those on patient satisfaction on a 4-point scale. RESULTS: Response rate was 84% (589 of 700 patients). Internal consistency, as measured by Cronbach's alpha, was 0.84. When evaluating the questions on anaesthesia-related discomfort, the most frequent sensations were "drowsiness" (>75%), " pain at the surgical site" (>55%), and "thirst" (>50%). The data on patient satisfaction showed a high degree of satisfaction (>90%). The responses to questions on anaesthesia-related discomfort revealed only minor differences between the questionnaire and the face-to-face interview. The questions on satisfaction with anaesthesia, however, were answered consistently in a more critical manner during the interview (P<0.0001). CONCLUSIONS:
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Authors | M Bauer, H Böhrer, G Aichele, A Bach, E Martin |
Journal | Acta anaesthesiologica Scandinavica
(Acta Anaesthesiol Scand)
Vol. 45
Issue 1
Pg. 65-72
(Jan 2001)
ISSN: 0001-5172 [Print] England |
PMID | 11152036
(Publication Type: Clinical Trial, Comparative Study, Journal Article, Randomized Controlled Trial)
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Topics |
- Anesthesia
- Data Interpretation, Statistical
- Humans
- Interviews as Topic
- Patient Satisfaction
(statistics & numerical data)
- Quality Assurance, Health Care
- Reproducibility of Results
- Surveys and Questionnaires
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