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Table 1 General attributes of apps

From: Suicide prevention and depression apps’ suicide risk assessment and management: a systematic assessment of adherence to clinical guidelines

FeatureDM (n = 20)DM and SP
(n = 3)
SP
(n = 46)
Total
(n = 69)
p*
Cost of the app
 Free8 (40%)1 (33%)44 (98%)53 (77%)< 0.001
 In-app purchases10 (50%)2 (67%)2 (2%)14 (20%)
 Paid2 (10%)2 (3%)
App category on the app store
 Education18 (39%)18 (26%)< 0.001
 Health & Fitness15 (75%)20 (44%)35 (51%)
 Lifestyle1 (5%)3 (100%)4 (6%)
 Medical4 (20%)8 (17%)12 (17%)
App ratings
 Not enough ratings2 (67%)18 (39%)20 (29%)0.001
 1–3.52 (10%)5(11%)7 (10%)
 3.5–518 (90%)1 (33%)23 (50%)42 (61%)
Target group
 General population20 (100%)3 (100%)34 (74%)57 (83%)0.137
 Students9 (20%)9 (13%)
 Veterans3 (6%)3 (4%)
Number of suicide prevention strategies
 1–23 (15%)2 (67%)11 (24%)16 (23%)0.374
 310 (50%)14 (30%)24 (35%)
 45 (25%)12 (26%)17 (25%)
 51 (5%)1 (33%)5(11%)7 (10%)
 61 (5%)4 (9%)5 (7%)
Directly connect to emergency helplines
 No11 (55%)1 (33%)10 (22%)22 (32%)0.019
 Yes9 (45%)2 (67%)36 (78%)47 (68%)
User can remain anonymous
 No7 (35%)1 (33%)3 (7%)11 (16%)0.009
 Yes13 (65%)2 (67%)43 (93%)58 (84%)
Password-protected account
 No8 (40%)1 (33%)37 (80%)46 (67%)0.002
 Yes12 (60%)2 (67%)9 (20%)23 (33%)
App crashes or malfunctions
 No17 (85%)3 (100%)37 (80%)57 (83%)0.857
 Yes3 (15%)9 (20%)12 (17%)
App was created or commissioned by
 Government body, university2 (10%)19 (41%)21 (30%)0.02
 NGO, healthcare providers10 (50%)3 (100%)18 (39%)31 (45%)
 Private developer8 (40%)9 (20%)17 (25%)
Export data (pdf/excel/other)
 No12 (60%)3 (100%)42 (91%)57 (83%)0.012
 Yes8 (40%)4 (9%)12 (17%)
  1. DM depression management, SP suicide prevention; *In italics, statistically significant p values (< 0.05)