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Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes
Tsair-Wei Chien1, Weir-Sen Lin
1Chi Mei Medical Center, Taiwan, Research Department, Chi Mei Medical Center, Taiwan, Tainan, Taiwan.
JMIR Medical Informatics
|March 4, 2016
Summary
Computerized adaptive testing (CAT) reduces inpatient survey length and maintains accuracy. This efficient method, accessible via mobile QR codes, offers a patient-friendly alternative for feedback collection.
Area of Science:
- Health informatics
- Patient-reported outcomes
- Survey methodology
Background:
- The National Health Service (NHS) 70-item inpatient questionnaire burdens patients.
- Computerized adaptive testing (CAT) can shorten surveys without losing precision.
Purpose of the Study:
- To assess CAT's efficiency in reducing survey items.
- To evaluate CAT's feasibility using mobile-scannable QR codes.
Main Methods:
- Simulated patient data using Rasch partial credit model.
- Compared CAT against all items answered (AAI) and randomized selection (RSM).
- Developed a web-based CAT program accessible via QR codes on mobile phones.
Main Results:
- CAT demonstrated greater efficiency (fewer items) than AAI or RSM.
- CAT maintained measurement accuracy compared to AAI and RSM.
- Web-based CAT via mobile QR codes proved viable for patient feedback.
Conclusions:
- CAT offers an efficient alternative for inpatient surveys, reducing patient burden.
- Web-based CAT with QR code access provides an innovative feedback method for healthcare.
- Technological advancements enable patient-centered survey alternatives.
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