Table 4.

Multivariate ordinal logistic regression of factors contributing to number of urology app downloads.^a,b

Variables	Estimatesc	SE	P value	95% CI
App age	0.001	.0004	.24	–0.0003 to 0.001
Other HCP participation	0.469	.602	.44	–0.71 to 1.65
Urologist participation	1.43	.479	.003	0.49 to 2.37
Number of reviews	0.440	.102	<.001	0.24 to 0.64
Actual price in euros	–0.071	.020	<.001	–0.11 to –0.03
Average user rating	0.337	.089	<.001	0.16 to 0.51
App size	0.018	.017	.30	–0.02 to 0.05
No age restriction	0.498	.346	.15	–0.18 to 1.18
Number of screenshots	0.047	.048	.33	–0.05 to 0.14
Length of description	–0.0004	.0002	.09	–0.001 to 0.00006349
Availability in the Apple App Store	–0.641	.441	.15	–1.5 to 0.22
Version	–0.372	.340	.27	–1.04 to 0.29
In-app purchases	1.67	.682	.01	0.33 to 3.0
Nagelkerke R2			.48

^aThe dependent variable is the level of downloads.

^bThe reference level for health care professional (HCP) participation is “No HCP participation.”

^cEstimates are the ordered log-odds regression coefficients and they show the relative magnitude (ie, relative impact of the factor) and direction (ie, positive or negative) of the impact of the listed variables on the level of downloads.