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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 28, No 6, November/December 2017

352

AFRICA

For each model, response options for the dependent

variable were categorised as either ‘poor adherence’ or ‘optimal

adherence’. The predictor variables were categorised as follows:

(1) gender: males and females; (2) age: 18–39 years, 40–49 years,

50–59 years, ≥ 60 years; (3) marital status: married and single

(includes divorced and widowed); (4) level of education: low–

intermediate (0–12 years) for those who completed secondary

school or less, and high (

>

12 years) for those who had a diploma,

bachelor degree or postgraduate degree; (5) residence: Khartoum,

Khartoum North, Omdurman and outside Khartoum State; (6)

hospitals: Ahmed Gasim Hospital, Elshaab Teaching Hospital

and Sudan Heart Institute; (7) monthly income: low

<

1 000

Sudanese pounds (SP), middle 1 000–2 000 SP, and high

>

2 000

SP; (8) number of chronic diseases: one to two chronic diseases,

and ≥ three chronic diseases; (9) number of medications taken:

one to four medications, and ≥ five medications); (10) duration

of medication use:

>

three months to one year,

>

one to five

years,

>

five to 10 years, and

>

10 years.

Results

Table 1 summarises the sociodemographic characteristics of

respondents. A total of 433 Sudanese subjects were approached

to be included in the study; 386 agreed to participate, giving a

response rate of 89.1%. Of the respondents, 43% were 60 years

or over, 57% were females and 81.6% had low–intermediate

education.

Table 2 shows the clinical characteristics of the study

participants. One-half of respondents had hypertension, 30.3%

had dyslipidaemia and 28.5% had ischaemic heart disease. The

mean (

±

SD) number of chronic diseases among the study

population was 2.3 (

±

1.3) and that of medication use was 4.2

(

±

1.9). Two hundred and thirty-six patients (61.1%) were using

beta-blockers, and above two-fifths were using loop diuretics

(47.2%), statins (47.4%), low-dose aspirin (42.7%) and warfarin

(40.7%). The mean (

±

SD) duration of medication use among

participants was 6.4 (

±

5.4) years.

Table 3 presents the distribution of responses to the MMAS-

8 among the participants. Seven in 10 participants (

n

=

274;

71.0%; 95% CI: 66.1–75.4) reported that they never or rarely

had difficulty remembering to take all their medications. Half of

the respondents indicated that they felt hassled about sticking to

their treatment plan (

n

=

194; 50.3%; 95% CI: 45.2–55.4). Over

one-third of the study population reported that they had cut

back or stopped their medication without telling their physicians

because they felt worse (

n

=

140; 36.3; 95% CI: 31.5–41.3) and

that they sometimes forgot to take their pills (

n

=

133; 34.5; 95%

CI: 29.8–39.5).

Optimal adherence was defined as having a score of greater

than six on the MMAS-8. Using this cut-off point, 49% (

n

=

189; 95% CI: 43.9–54.1) of respondents had optimal medication

adherence and 51% (

n

=

197; 95% CI: 45.9–56.1) had poor

medication adherence. The mean (

±

SD) score for the medication

Table 1. Sociodemographic characteristics of the respondents (

n

=

386)

Characteristic

Frequency (%)

Gender

Male

166 (43)

Female

220 (57)

Marital status

Single*

239 (61.9)

Married

147 (38.1)

Age (years)

18–39

79 (20.5)

40–59

42 (10.9)

50–59

99 (25.6)

≥ 60

166 (43.0)

Educational level

Low–intermediate education

315 (81.6)

High education

71 (18.4)

Residence (cities in Khartoum State)

Khartoum

75 (19.4)

Khartoum North

102 (26.4)

Omdurman

92 (23.8)

Outside Khartoum State

117 (30.3)

Hospitals

Ahmed Gasim Cardiac Surgery and Renal

Transplantation Centre

110 (28.5)

Elshaab Teaching Hospital

146 (37.8)

Sudan Heart Institute

130 (33.7)

Monthly income

Low income

140 (36.3)

Middle income

136 (35.2)

High income

110 (28.5)

*Includes divorced and widowed

Table 2. Clinical characteristics of the respondents (

n

=

386)

Characteristic

Frequency (%; 95% CI)

Types of chronic diseases

Hypertension

195 (50.5; 45.42–55.6)

Dyslipidaemia

117 (30.3; 25.8–35.2)

Ischaemic heart disease

110 (28.5; 24.1–33.3)

Chronic heart failure

85 (22.0; 18.1–26.6)

Arrhythmia

81 (21.0; 17.1–25.5)

Cardiac valve replacement

74 (19.2; 15.4–23.5)

Rheumatic heart disease

71 (18.4; 14.7–22.7)

Cerebrovascular disease

25 (6.5; 4.3–9.5)

Drug class/drug

Beta-blockers

236 (61.1; 56.1–66.0)

Statins

183 (47.4; 42.4–52.5)

Furosemide

182 (47.2; 42.1–52.3)

Low-dose aspirin

165 (42.7; 37.8–47.9)

Warfarin

157 (40.7; 35.8–45.8)

Angiotensin converting enzyme inhibitors

147 (38.1; 33.3–43.2)

Potassium-sparing diuretics

115 (29.8; 25.3–34.7)

Calcium-channel blockers

63 (16.3; 12.9–20.5)

Clopidogrel

60 (15.5; 12.2–19.6)

Angiotensin receptor blockers

48 (12.4; 9.4–16.2)

Nitrates

44 (11.4; 8.5–15.1)

Digoxin

31 (8.0; 5.6–11.3)

Thiazide diuretic

15 (3.9; 2.3–6.5)

Number of chronic diseases

1–2

234 (60.6; 55.5–65.5)

≥ 3

152 (39.4; 34.5–44.5)

Number of medications

1–4

216 (56.0; 50.8–61.0)

≥ 5

170 (44.0; 39.1–49.2)

Duration of medication use (years)

≥ 0.25–1

75 (19.4; 15.7–23.8)

>

1–5

143 (37.0; 32.3–42.1)

>

5–10

95 (24.6; 20.5–29.3)

>

10

73 (18.9; 15.7–23.8)