Determining good and statistically significant response rates

In healthcare, data is only as good as the number and diversity of voices behind it. This guide explains what constitutes a “good” survey response rate, helping providers interpret patient feedback with confidence.

It breaks down the statistical concepts of confidence levels, margins of error, and sample reliability into practical terms, offering benchmarks and response rate norms across care settings. The paper also shares real-world response rate averages from Cemplicity programmes, and actionable strategies for improving participation to ensure your data is representative, trustworthy, and decision-ready.