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. 2020 Apr 26;20:93. doi: 10.1186/s12874-020-00979-z

Table 4.

Multiple-ordinal logistic regression models per clinical vignette

Vignette 1a Vignette 2b
Variables tested Odds ratio 95% CI p-value Odds ratio 95% CI p-value
Belief of greater effectiveness of the new drug (vs. clinical equipoise) 0.74 0.60–0.92 0.008
Random allocation of study drugs (vs. medical decision) 1.05 .84–1.30 0.689
Public research funding (vs. research financed by a drug company) 1.29 1.04–1.60 0.022
Rare disease (vs. frequent, heart diseases) 0.90 0.71–1.14 0.387
Genetic analysis of specimens (vs. blood protein analyses) 1.19 0.94–1.50 0.147
Automatic reporting of test results to the participant (vs. only upon request) 1.12 0.89–1.42 0.334
Excellent/very good health status (vs. good/fair/poor) 0.78 0.60–1.02 0.065 1.42 1.07–1.89 0.016
Opinion on research (from “very negative” to “very positive”) 2.38 2.04–2.76 < 0.001 2.71 2.31–3.18 < 0.001
Previous participation in clinical studies (vs. no participation) 1.48 1.14–1.91 0.003 1.45 1.10–1.90 0.008
Blood or organ donor (vs. not) 1.51 1.21–1.88 < 0.001 2.16 1.70–2.74 < 0.001

Abbreviation: CI Confidence interval

a Among respondents, 1066 of 1118 (95.3%) had no missing data

b Among respondents, 1056 of 1109 (95.2%) had no missing data