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. 2019 Sep 25;21(9):e14567. doi: 10.2196/14567

Table 4.

App usage based on app incorporated technique (N=93).

Incorporated technique Apps, n Installation category, median (IQR) Open rate (%), median (IQR)a Sessions per active user, median (IQR) Daily minutes of use per active user, median (IQR)a
Primary technique





Mindfulness/meditation 26 100,000 (650,000) 4.1 (3.3) 2.96 (1.66) 21.47 (15.00)*

Tracker 22 50,000 (90,000) 6.3 (10.2)* 4.58 (4.47) 07.27 (08.83)**

Breathing exerciseb 7 10,000 (40,000) 1.6 (1.6)** 2.19 (1.23) 08.32 (19.02)**

Psychoeducation 3 10,000 (10,000-100,000b) 3.0 (2.5-3.3c) 4.16 (2.57-4.80c) 03.53 (02.07-19.23c)**

Peer supportd 2 300,000 (N/Ae) 17.0 (N/A)* 8.67 (N/A) 35.08 (N/A)*
Number of primary techniques



2 techniques 17 50,000 (90,000) 4.0 (5.6%) 3.18 (1.40) 07.83 (11.93)

≥3 techniquesf 16 100,000 (50,000) 3.2 (3.1%) 4.06 (3.91) 12.88 (07.13)

aCategories with different number of asterisks (*, **) within a column are significantly different (P<.05) based on our analytical approach, which included Kruskal-Wallis one-way ANOVA at the variable level, followed by Mann-Whitney U tests.

bNot including mindfulness/meditation.

cDue to the small number of included apps, brackets in this cell reflect the range (minimum-maximum value) and not the IQR.

dDue to the small number of included apps, IQR or range could not be calculated (marked with N/A).

eN/A: not applicable.

fIncludes two apps that use a chatbot (Wysa, Woebot), which did not have a different pattern of results emerging for a certain direction.