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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: AIDS Behav. 2017 Nov;21(11):3122–3128. doi: 10.1007/s10461-017-1743-4

Table I.

Mean acceptability and comparative acceptability of subscales measuring the type of information, methods, and frequency of receiving information

Mean (SD) Mean acceptability of subscalesa Significant differences in acceptability between subscalesb
Type of Information
Locations 4.03 (1.21) 12.64*** NA
PrEP 4.00 (1.27) 11.76*** ns
Partner discussion 4.00 (1.09) 13.73*** ns
HIV home testing 3.88 (1.37) 9.65*** 2.16*
HIV support groups 3.82 (1.36) 9.12*** ns
Risk reduction 3.82 (1.22) 10.07*** ns
Online physician chat 3.64 (1.42) 6.83*** 3.15**
Drug and alcohol use in association with HIV risk 3.62 (1.38) 6.72*** ns
Method of Delivery
Sexual health section within app 3.86 (1.29) 9.98*** NA
Advertisement banner 3.54 (1.42) 5.65*** 3.53**
Alert 2.92 (1.48) ns 6.45***
Frequency of Delivery
Only when actively seek information 3.79 (1.37) 8.56*** NA
Alert once per week 3.74 (1.38) 7.93*** ns
Every time the app is opened 2.67 (1.48) −3.37** 8.59***
Before starting a new conversation 2.53 (1.41) −4.94*** ns
Alert once per day 2.43 (1.35) −6.22*** 2.46*
*

p < .05,

**

p < .01,

***

p < .001

a

Compared to 3, the “neutral” response option; dfs 219–223

b

Groupings of acceptability were determined by testing for significant differences between the highest acceptability variable in each category and each subsequent variable until significance was reached. For example, “Locations” was compared to “PrEP,” then “Partner discussion,” then “HIV home testing,” with a significance difference emerging between “Locations” and “HIV home testing.” “HIV home testing” was then compared to “HIV support groups,” “Risk reduction,” and “Online physician chat,” with significance emerging with “Online physician chat.” dfs 219–223