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Table 5 Associations between patient characteristics and clinician monitoring of medication adherence

From: Are Australian clinicians monitoring medication adherence in hematological cancer survivors? Two cross-sectional studies

  

Monitoring by Hematologist

Monitoring by GP or regular doctor

Characteristic

 

Always (n = 64)

Sometimes or never (n = 94)

Exact p value

Always (n = 45)

Sometimes or never (n = 112)

Exact p-value

  

n (%)

n (%)

 

n (%)

n (%)

 

Sexa

Male

30 (48 %)

52 (60 %)

0.185

21 (48 %)

61 (59 %)

0.278

Female

32 (52 %)

35 (40 %)

 

23 (52 %)

43 (41 %)

 

Agea

18–39 years

2 (3.2 %)

3 (3.4 %)

0.655

2 (4.5 %)

3 (2.9 %)

0.878

40–49 years

7 (11 %)

5 (5.7 %)

 

4 (9 %)

8 (7.7 %)

 

50–59 years

19 (31 %)

24 (28 %)

 

14 (32 %)

28 (27 %)

 

60–69 years

18 (29 %)

25 (29 %)

 

12 (27 %)

30 (29 %)

 

70 years and over

16 (26 %)

30 (34 %)

 

12 (27 %)

35 (34 %)

 

Cancer typea

Non-Hodgkin Lymphoma

16 (26 %)

21 (24 %)

0.599

14 (32 %)

22 (21 %)

0.253

Acute Leukaemia

7 (11 %)

12 (14 %)

 

3 (6.8 %)

16 (15 %)

 

Chronic Lymph Leukaemia

7 911 %)

7 (8 %)

 

3 (6.8 %)

11 (11 %)

 

Myeloma

22 (35 %)

35 (40 %)

 

17 (39 %)

40 (38 %)

 

Hodgkin Lymphoma

5 (8 %)

2 (2.3 %)

 

4 (9 %)

3 (2.9 %)

 

Other

5 (8 %)

10 (11 %)

 

3 (6.8 %)

12 (12 %)

 

Usual residencea

Urban

52 (84 %)

72 (83 %)

1.000

37 (84 %)

86 (83 %)

1.000

Rural

10 (16 %)

15 (17 %)

 

7 (16 %)

18 (17 %)

 

Time since diagnosisa

Less than 2 years

24 (39 %)

28 (32 %)

0.486

20 (45 %)

31 (30 %)

0.088

2 years and over

38 (61 %)

59 (68 %)

 

24 (55 %)

73 % (70 %)

 

Marital statusa

Married/living with partner

17 (27 %)

18 (20 %)

0.336

13 (29 %)

22 (20 %)

0.291

Single, never married

47 (73 %)

73 (80 %)

 

32 (71 %)

87 (80 %)

 

Educationa

High school or below

27 (45 %)

44 (51 %)

0.309

19 (46 %)

53 (51 %)

0.786

Trade or TAFE

21 (35 %)

20 (23 %)

 

13 (32 %)

27 (26 %)

 

University degree

12 (20 %)

22 (26 %)

 

9 (22 %)

24 (23 %)

 

Employmenta

Currently employed

23 (36 %)

32 (34 %)

0.866

16 (36 %)

38 (34 %)

1.000

Not employed

41 (64 %)

61 (66 %)

 

29 (64 %)

73 (66 %)

 

No. of daily medications

2 or less

31 (48 %)

46 (49 %)

1.000

21 (47 %)

56 (50 %)

0.727

3 or more

33 (52 %)

48 (51 %)

 

24 (53 %)

56 (50 %)

 
  1. aTotals may not equal sample size due to missing data values