Table 3 Characteristics of participants
Patient participants | ||
Characteristics | Australia (n = 13) | Hong Kong (n = 7) |
Age in years (mean/SD) | 63.0 (18) | 72.4 (13.4) |
Gender n (%): | ||
-  Female | 9 (62.9%) | 4 (57.1%) |
-  Male | 9 (30.8%) | 3 (42.9%) |
Diagnosis n (%): | ||
-  Breast cancer | 4 (30.8%) | 0 (0.0%) |
-  Colorectal cancer | 2 (15.4%) | 2 (28.6%) |
-  Gastric cancer | 1 (7.7%) | 0 (0.0%) |
-  Kidney cancer | 0 (0.0%) | 1(14.3%) |
-  Lung cancer | 0 (0.0%) | 4 (57.1%) |
-   Oesophageal cancer | 1 (7.7%) | 0 (0.0%) |
-  Ovarian cancer | 1 (7.7%) | 0 (0.0%) |
-  Pancreatic cancer | 3 (23.1%) | 0 (0.0%) |
-  Skin cancer | 1 (7.7%) | 0 (0.0%) |
MST score n (%): | ||
-  0 | 2 (40.0%) | 0 (0.0%) |
-  1 | 2 (40.0%) | 0 (0.0%) |
-  2 | 0 (0.0%) | 6 (85.7%) |
-  3 | 0 (0.0%) | 1 (14.3%) |
-  N/A | 1 (20.0%) | 0 (0.0%) |
PG-SGA SF score (median/IQR) | 7 (5–12) | 10(1–14) |
Family participants | ||
Characteristics | Australia (n = 4) | Hong Kong (n = 11) |
Age in years n (%): | ||
-   < 21 | 0 (0.0%) | 0 (0.0%) |
-  21–30 | 1 (25.0%) | 0 (0.0%) |
-  31–40 | 0 (0.0%) | 2 (18.2%) |
-  41–50 | 0 (0.0%) | 4 (36.4%) |
-  51–60 | 0 (0.0%) | 0 (0.0%) |
-  61–65 | 1 (25.0%) | 2 (18.2%) |
-   > 65 | 2 (50.0%) | 2 (18.2%) |
- Prefer not to respond | 0 (0.0%) | 1 (9.1%) |
Gender n (%): | ||
-  Female | 4 (100.0%) | 7 (63.6%) |
-  Male | 0 (0.0%) | 4 (36.4%) |
Relationship to patient n (%): | ||
-  Spouse/de factor partner | 4 (100%) | 3 (27.3%) |
-  Child | 0 (0.0%) | 6 (54.6%) |
-  Daughter in law | 0 (0.0%) | 1 (9.1%) |
-  Domestic helper | 0 (0.0%) | 1 (9.1%) |
Approximate combined household income per year in AUD n (%): | ||
-  40,001-60,000 | 1 (25.0%) | N/A |
-  100,001-120,000 | 1 (25.0%) | N/A |
-  Prefer not to respond | 2 (50.0%) | N/A |
Approximate combined household income per month in HKD n (%): | ||
-   < 10,000 | N/A | 3 (27.3%) |
-  15,000- 20,000 | N/A | 2 (18.2%) |
-  25,00-30,000 | N/A | 1 (9.1%) |
-  Prefer not to respond | N/A | 5 (45.5%) |
Highest level of education complete n (%): | ||
-  Elementary school | 0 (0.0%) | 2 (18.2%) |
-  Middle school | 0 (0.0%) | 4 (36.4%) |
-  Some high school | 1 (25.0%) | 3 (27.3%) |
-  Some college/university | 1 (25.0%) | 2 (18.2%) |
-  Bachelor’s Degree | 2 (50.0%) | (0.0%) |
Health care professionals | ||
Characteristics | Australia (n = 6) | Hong Kong (n = 11) |
Age in years n (%): | ||
-  21–30 | 4 (22.2%) | 0 (0.0%) |
-  31–40 | 7 (38.9%) | 6 (54.5%) |
-  41–50 | 4 (22.2%) | 0 (0.0%) |
-  51–60 | 3 (16.7%) | 5 (45.5%) |
Gender n (%): | ||
-  Female | 17 (94.4) | 7 (63.6%) |
-  Male | 1 (5.6%) | 4 (36.4%) |
Discipline n (%): | ||
-  Nurse | 13 (72.2%) | 6 (54.5%) |
-  Dietitian | 4 (22.2%) | 2 (18.2%) |
-  Doctor | 1 (5.6%) | 3 (27.3%) |
Employment status n (%): | ||
-  Full time | 7 (38.9%) | 11 (100.0%) |
-  Part time | 11 (61.1%) | 0 (0.0%) |
Highest level of education qualification n (%): | ||
-  Doctoral Degree | 1 (5.6%) | 5 (45.5%) |
-  Master’s Degree | 3 (16.7%) | 0 (0.0%) |
-  Post graduate speciality qualification | 2 (11.1%) | 1 (9.1%) |
-  Bachelor’s Degree | 10 (55.6%) | 1 (9.1%) |
-  Diploma | 2 (11.1%) | 1 (9.1%) |
-  Specialist training | 0 (0.0%) | 3 (27.2%) |
Clinical experience in years n (%): | ||
-   ≤ 5 | 5 (27.8%) | 0 (0.0%) |
-  6–10 | 4 (22.2%) | 2 (18.2%) |
-  11–15 | 5 (27.8%) | 1 (9.1%) |
-   > 15 | 4 (22.2%) | 8 (72.7%) |
Involvement with the care of a patient in the (intervention name blinded for peer review) study or their family member n (%): | ||
-  Yes | 7 (38.9%) | 1 (9.1%) |
-  No | 7 (38.9%) | 9 (81.8%) |
-  Unsure | 0 (0.0%) | 1(9.1%) |