Table 8 Smart Phone usage, barriers and app preferences, by institution and role
| Â | Overall | Public General | Public Cancer | Private Cancer | Hospice | |||||
|---|---|---|---|---|---|---|---|---|---|---|
100% (92) | 29% (27) | 33% (30) | 30% (28) | 8% (7) | ||||||
Roles % within row total(n) | Total | Nurse | Physician | Nurse | Physician | Nurse | Physician | Nurse | Physician | Nurse |
100%(92) | 70%(64) | 30% (28) | 78% (21) | 22% (6) | 47% (14) | 53% (16) | 79% (22) | 21% (6) | 100% (7) | |
Access to Smart Phone % within column total (n) | ||||||||||
 Yes | 98%(90) | 97%(62) | 100% (28) | 100% (21) | 100% (6) | 86% (12) | 100% (16) | 100% (22) | 100% (6) | 100% (7) |
 No | 2% (2) | 3% (2) | 0%(0) | 0%(0) | 0%(0) | 14% (2) | 0%(0) | 0%(0) | 0%(0) | 0%(0) |
Type of Smart Phone Used (Asked of those with access to a smart phone) % within column total (n) | ||||||||||
 Android | 82%(74) | 87% (54) | 71% (20) | 81% (17) | 83% (5) | 92% (11) | 63% (10) | 96% (21) | 83% (5) | 71% (5) |
 IOS | 17% (15) | 11% (7) | 29% (8) | 19% (4) | 17% (1) | 8% (1) | 38% (6) | 5% (1) | 17% (1) | 14% (1) |
 Other | 1% (1) | 2% (1) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 14% (1) |
Frequency of Smart Phone Use (Asked of those with access to a smart phone) % within column total (n) | ||||||||||
 Daily | 100%(89) | 100%(61) | 100% (28) | 100% (20) | 100% (6) | 100% (12) | 100% (16) | 100% (22) | 100% (6) | 100% (7) |
 Few times/week | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) |
 Few times/month | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) |
 Few times/year | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) |
 Other | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 0%(0) |
Barriers to Smart Phone use^ % within column total (n) | ||||||||||
 Lack of mobile service at home | 3% (3) | 5% (3) | 0%(0) | 0%(0) | 0%(0) | 7% (1) | 0%(0) | 5% (1) | 0%(0) | 14% (1) |
 Lack of mobile service at work | 13% (12) | 19% (12) | 0%(0) | 5% (1) | 0%(0) | 36% (5) | 0%(0) | 23% (5) | 0%(0) | 14% (1) |
 Not allowed to use mobile phone at work | 43% (40) | 61% (39) | 4% (1) | 81% (17) | 0%(0) | 43% (6) | 0%(0) | 68% (15) | 17% (1) | 14% (1) |
 Cost of data access | 61% (56) | 70% (45) | 39% (11) | 52% (11) | 17% (1) | 79% (11) | 44% (7) | 91% (20) | 50% (3) | 43% (3) |
 Cost of Smart Phone | 15% (14) | 22% (14) | 0%(0) | 5% (1) | 0%(0) | 29% (4) | 0%(0) | 32% (7) | 0%(0) | 29% (2) |
 Concern about using in presence of patients | 42% (39) | 53% (34) | 18% (5) | 48% (10) | 0%(0) | 14% (2) | 25% (4) | 82% (18) | 17% (1) | 57% (4) |
 I am not interested in using a Smart Phone | 1% (1) | 2% (1) | 0%(0) | 0%(0) | 0%(0) | 7% (1) | 0%(0) | 0%(0) | 0%(0) | 0%(0) |
 I encounter no barriers in using a Smart Phone | 16% (15) | 3% (2) | 46% (13) | 0%(0) | 67% (4) | 14% (2) | 44% (7) | 0%(0) | 33% (2) | 0%(0) |
 Other | 2% (2) | 2% (1) | 4% (1) | 0%(0) | 17% (1) | 0%(0) | 0%(0) | 0%(0) | 0%(0) | 14% (1) |
How could an app help better manage cancer pain^ % within column total (n) | ||||||||||
 Assess cancer pain | 73%(67) | 73% (47) | 71% (20) | 81% (17) | 83% (5) | 50% (7) | 69% (11) | 82% (18) | 67% (4) | 71% (5) |
 Understand cancer pain physiology | 75%(69) | 84% (54) | 54% (15) | 95% (20) | 33% (2) | 57% (8) | 44% (7) | 86% (19) | 100% (6) | 100% (7) |
 Prescribe/give opioid medications | 78%(72) | 73% (47) | 89% (25) | 86% (18) | 100% (6) | 43% (6) | 81% (13) | 91% (20) | 100% (6) | 43% (3) |
 Prescribe/give non-opioid medications | 73%(67) | 69% (44) | 82% (23) | 76% (16) | 67% (4) | 36% (5) | 81% (13) | 91% (20) | 100% (6) | 43% (3) |
 Prescribe/give non-pharmacological treatments | 63%(58) | 67% (43) | 54% (15) | 67% (14) | 50% (3) | 57% (8) | 44% (7) | 86% (19) | 83% (5) | 29% (2) |
 Educate patients/family members | 86%(79) | 92%(59) | 71% (20) | 100% (21) | 83% (5) | 71% (10) | 63% (10) | 100% (22) | 83% (5) | 86% (6) |
 Review reports of patient symptoms | 66%(61) | 69% (44) | 61% (17) | 81% (17) | 67% (4) | 43% (6) | 50% (8) | 82% (18) | 83% (5) | 43% (3) |
 Share information with/learn from other Healthcare-Providers (HCPs) | 82%(75) | 84% (54) | 75% (21) | 91% (19) | 83% (5) | 64% (9) | 69% (11) | 91% (20) | 83% (5) | 86% (6) |
 Other | 4% (4) | 6% (4) | 0%(0) | 5% (1) | 0%(0) | 7% (1) | 0%(0) | 0%(0) | 0%(0) | 29% (2) |
How to know if app to manage cancer pain is making a positive difference^ % within column total (n) | ||||||||||
 Patients will be in less pain | 76%(70) | 78% (50) | 71% (20) | 76% (16) | 100% (6) | 64% (9) | 56% (9) | 91% (20) | 83% (5) | 71% (5) |
 Families will be less stressed | 79%(73) | 84% (54) | 68% (19) | 81% (17) | 83% (5) | 79% (11) | 50% (8) | 91% (20) | 100% (6) | 86% (6) |
 HCPs will use the app often | 79%(73) | 78% (50) | 82% (23) | 86% (18) | 67% (4) | 57% (8) | 88% (14) | 91% (20) | 83% (5) | 57% (4) |
 HCPs will feel more confident prescribing/giving pain therapies | 88%(81) | 88% (56) | 89% (25) | 95% (20) | 67% (4) | 50% (7) | 94% (15) | 100% (22) | 100% (6) | 100% (7) |
 Cancer pain management guidelines will be followed more consistently | 90%(83) | 89%(57) | 93% (26) | 100% (21) | 83% (5) | 50% (7) | 94% (15) | 100% (22) | 100% (6) | 100% (7) |
 Morphine will be more available to patients in need | 57% (52) | 58% (37) | 54% (15) | 71% (15) | 33% (2) | 29% (4) | 63% (10) | 73% (16) | 50% (3) | 29% (2) |
 Other | 4% (4) | 5% (3) | 4% (1) | 5% (1) | 0%(0) | 7% (1) | 6% (1) | 0%(0) | 0%(0) | 14% (1) |
Frequency of app use, clinical care^^ | ||||||||||
 Mean(n) | 6.38(92) | 6.33(64) | 6.50(28) | 6.14(21) | 6.50(6) | 5.86(14) | 5.94(16) | 7.18(22) | 8.00(6) | 5.14(7) |
Frequency of app use, personal reasons^^ | ||||||||||
 Mean(n) | 7.65(92) | 7.44(64) | 8.14(28) | 8.81(21) | 7.83(6) | 5.50(14) | 8.6(16) | 7.55(22) | 8.67(6) | 6.86(7) |