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Comparing Inpatient Satisfaction Collected via a Web-Based Questionnaire Self-Completion and Through a Telephone
Sarah F Feldman1,2, Nathanael Lapidus1,2, Jacques Cosnes3
1Institut Pierre Louis d'Épidémiologie et de Santé Publique, Unité Mixte de Recherche en Santé 1136, Sorbonne Universités, Université Pierre et Marie Curie, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Internet surveys yield higher quality patient satisfaction data but have lower response rates compared to telephone surveys. This study compared these methods for collecting inpatient satisfaction using the I-Satis questionnaire.
Area of Science:
- Health Services Research
- Patient Experience Measurement
- Survey Methodology
Background:
- Assessing patient satisfaction with healthcare is common.
- France uses the I-Satis questionnaire for inpatient satisfaction.
- Internet and telephone surveys for patient satisfaction have not been compared in a large multicenter trial.
Purpose of the Study:
- To compare Internet self-completion versus telephone interview for collecting inpatient satisfaction data.
- To evaluate participation rates, questionnaire consistency, and satisfaction scores between the two methods.
Main Methods:
- A multicenter randomized controlled trial (SENTIPAT) enrolled discharged inpatients with home internet access.
- Patients were randomized to either Internet self-completion or telephone interview for the I-Satis questionnaire.
- Analysis compared response rates, Cronbach's alpha for consistency, and mean satisfaction scores.
Main Results:
- 1680 patients were randomized; 392 (Internet) and 389 (telephone) were analyzed.
- Response rates were significantly lower for Internet (39.3%) vs. telephone (88.4%).
- Internet group showed higher internal consistency (Cronbach's alpha=0.89 vs. 0.84) but lower mean satisfaction scores (68.9 vs. 72.1).
Conclusions:
- Internet administration resulted in a lower response rate but potentially higher quality satisfaction estimates.
- The interviewer effect in telephone surveys may influence satisfaction scores.
- Balancing response rates with data quality is crucial when choosing survey methods.
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