Skip to main content

Table 3 Characteristics of participants

From: End-user perceptions of a patient- and family-centred intervention to improve nutrition intake among oncology patients: a descriptive qualitative analysis

Patient participants
CharacteristicsAustralia (n = 13)Hong Kong (n = 7)
Age in years (mean/SD)63.0 (18)72.4 (13.4)
Gender n (%):
-  Female9 (62.9%)4 (57.1%)
-  Male9 (30.8%)3 (42.9%)
Diagnosis n (%):
-  Breast cancer4 (30.8%)0 (0.0%)
-  Colorectal cancer2 (15.4%)2 (28.6%)
-  Gastric cancer1 (7.7%)0 (0.0%)
-  Kidney cancer0 (0.0%)1(14.3%)
-  Lung cancer0 (0.0%)4 (57.1%)
-   Oesophageal cancer1 (7.7%)0 (0.0%)
-  Ovarian cancer1 (7.7%)0 (0.0%)
-  Pancreatic cancer3 (23.1%)0 (0.0%)
-  Skin cancer1 (7.7%)0 (0.0%)
MST score n (%):
-  02 (40.0%)0 (0.0%)
-  12 (40.0%)0 (0.0%)
-  20 (0.0%)6 (85.7%)
-  30 (0.0%)1 (14.3%)
-  N/A1 (20.0%)0 (0.0%)
PG-SGA SF score (median/IQR)7 (5–12)10(1–14)
Family participants
CharacteristicsAustralia (n = 4)Hong Kong (n = 11)
Age in years n (%):
-   < 210 (0.0%)0 (0.0%)
-  21–301 (25.0%)0 (0.0%)
-  31–400 (0.0%)2 (18.2%)
-  41–500 (0.0%)4 (36.4%)
-  51–600 (0.0%)0 (0.0%)
-  61–651 (25.0%)2 (18.2%)
-   > 652 (50.0%)2 (18.2%)
- Prefer not to respond0 (0.0%)1 (9.1%)
Gender n (%):
-  Female4 (100.0%)7 (63.6%)
-  Male0 (0.0%)4 (36.4%)
Relationship to patient n (%):
-  Spouse/de factor partner4 (100%)3 (27.3%)
-  Child0 (0.0%)6 (54.6%)
-  Daughter in law0 (0.0%)1 (9.1%)
-  Domestic helper0 (0.0%)1 (9.1%)
Approximate combined household income per year in AUD n (%):
-  40,001-60,0001 (25.0%)N/A
-  100,001-120,0001 (25.0%)N/A
-  Prefer not to respond2 (50.0%)N/A
Approximate combined household income per month in HKD n (%):
-   < 10,000N/A3 (27.3%)
-  15,000- 20,000N/A2 (18.2%)
-  25,00-30,000N/A1 (9.1%)
-  Prefer not to respondN/A5 (45.5%)
Highest level of education complete
n (%):
-  Elementary school0 (0.0%)2 (18.2%)
-  Middle school0 (0.0%)4 (36.4%)
-  Some high school1 (25.0%)3 (27.3%)
-  Some college/university1 (25.0%)2 (18.2%)
-  Bachelor’s Degree2 (50.0%)(0.0%)
Health care professionals
CharacteristicsAustralia (n = 6)Hong Kong (n = 11)
Age in years n (%):
-  21–304 (22.2%)0 (0.0%)
-  31–407 (38.9%)6 (54.5%)
-  41–504 (22.2%)0 (0.0%)
-  51–603 (16.7%)5 (45.5%)
Gender n (%):
-  Female17 (94.4)7 (63.6%)
-  Male1 (5.6%)4 (36.4%)
Discipline n (%):
-  Nurse13 (72.2%)6 (54.5%)
-  Dietitian4 (22.2%)2 (18.2%)
-  Doctor1 (5.6%)3 (27.3%)
Employment status n (%):
-  Full time7 (38.9%)11 (100.0%)
-  Part time11 (61.1%)0 (0.0%)
Highest level of education qualification n (%):
-  Doctoral Degree1 (5.6%)5 (45.5%)
-  Master’s Degree3 (16.7%)0 (0.0%)
-  Post graduate speciality qualification2 (11.1%)1 (9.1%)
-  Bachelor’s Degree10 (55.6%)1 (9.1%)
-  Diploma2 (11.1%)1 (9.1%)
-  Specialist training0 (0.0%)3 (27.2%)
Clinical experience in years n (%):
-   ≤ 55 (27.8%)0 (0.0%)
-  6–104 (22.2%)2 (18.2%)
-  11–155 (27.8%)1 (9.1%)
-   > 154 (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 (%):
-  Yes7 (38.9%)1 (9.1%)
-  No7 (38.9%)9 (81.8%)
-  Unsure0 (0.0%)1(9.1%)
  1. AUD – Australian dollars; HKD – Hong Kong dollars; IQR – interquartile range; MST – malnutrition screening tool; PG-SGA SF – Patient-generated Subjective Global Assessment Short Form