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An assessment of adherence to antihypertensive treatment and associated factors in patients at the Yaounde general hospital


par Roland Muntoh Chiabi
Faculty of medicine and biomedical sciences, Yaounde I University - Pharmaciae Doctor 2017
  

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CHAPTER IV: RESULTS

IV.1 STUDY FLOW PROFILE

In this study, 181 potential participants were identified during consultations. Of the 6 patients not included 3 did not have time to participate in the study and 3 gave incomplete information. 175 patients were finally retained for the study as they complied with the stated inclusion criteria.

Figure 8 below illustrates a flow diagram of the recruitment process.

Figure 8: Participant flow chart

I- SOCIODEMOGRAPHIC AND SOCIOECONOMIC CHARACTERISTICS OF THE STUDY POPULATION

Table VIII shows the sociodemographic characteristics of study participants.

Of the 175 patients recruited into the study, 54.90% were men and 45.10% were women with a sex ratio of 1.2.

The mean age of the study participants was 60.1 #177; 11.1 years with extremes from 33 to 88 years and with the age group =60 years being the most represented (48%; n =48).

The majority of the participants lived in an urban setting (88.60%), while 11.40% of them lived in rural communities.

Among the 175 participants, 51.43% had a non-liberal profession and 21.14% were unemployed. The non-liberal class was represented in majority by public servants.

Of the 175 participants, 66.30% of participants lived as a couple either legally married or not while 33.7% were single (either divorced, never married or widowed).

Most participants in our study (40%) had a higher education. 2.3% never went to a formal system of education.

Among the 175 participants, 84.60% spent less than 1 hour to reach the YGH. The mean trip duration was 38.6 #177; 30.8 minutes with extremes between 5 minutes and 3 hours.

Three sociodemographic factors were found to be significantly associated with poor therapeutic adherence: single marital status (OR = 4.66; CI95 =2.07 - 11.28 ; p <0.001); 1st cycle secondary education (OR = 3.03; CI95 =1.22 - 8.42 ; p <0.001); and more than 1 hour trip duration (OR = 7.39; CI95 =1.93 - 47.51; p <0.001).

Urban place of residence (OR = 0; CI95 =0 - 0.29 ; p <0.001); living as a couple (OR = 0.21; CI95 = 0.09 - 0.48 ; p <0.001) and <1 hour trip duration (OR = 0.14; CI95 =0.02 - 0.52; p <0.001) were significantly associated with good adherence.

Table VIII: Sociodemographic characteristics of the study population

 

Poor adherence

Good adherence

Total

P-value*

PA**

Sociodemographic variables

n (%)

n (%)

n (%)

 

 

Gender

 
 
 
 
 

Male

66 (68.8)

30 (31.3)

96 (54.9)

0.400

 

Female

52 (65.8)

27 (34.2)

79 (45.1)

0.400

 

Age (years)

 
 
 
 
 

<40

4 (80)

1 (20)

5 (2.9)

0.470

 

[40-50[

18 (75)

6 (25)

24 (13.7)

0.270

 

[50-60[

43 (70.5)

18 (29.5)

61 (34.9)

0.320

 

=60

53 (62.4)

32 (37.6)

85 (48.6)

0.110

 

Place of residence

 
 
 
 
 

Urban

98 (63.2)

57 (36.8)

155 (88.6)

<0.001

 

Rural

20 (100)

0 (0)

20 (11.4)

0.000

 

Profession

 
 
 

 

 

Liberal

28 (58.3)

20 (41.7)

48 (27.4)

0.080

 

Non-Liberal

61 (67.8)

29 (32.2)

90 (51.4)

0.520

 

Unemployed

29 (78.4)

8 (21.6)

37 (21.1)

0.080

 

Marital status

 
 
 
 
 

Single

51 (86.4)

8 (13.6)

59 (33.7)

<0.001

0.0003

Couple

67 (57.8)

49 (42.2)

116 (66.3)

<0.001

 

Level of education

 
 
 
 
 

Never gone to school

3 (75)

1 (25)

4 (2.3)

0.610

 

Primary

19 (70.4)

8 (29.6)

27 (15.4)

0.460

 

Secondary-1st cycle

31 (83.8)

6 (16.2)

37 (21.1)

0.010

0.0209

Secondary-2nd cycle

22 (59.5)

15 (40.5)

37 (21.1)

0.170

 

Higher education

43 (61.4)

27 (38.6)

70 (40)

0.110

 

Trip duration (hour)

 
 
 

 

 

<1

93 (62.8)

55 (37.2)

148 (84.6)

<0.001

 

=1

25 (92.6)

2 (7.4)

27 (15.4)

<0.001

0.008

*p-value from Chi-square test; **PA is p-value adjusted for significant factors obtained from logistic regression analysis using variables with P < 0.05 in bivariate analysis as candidate variables.

Figure 9 shows the distribution of participants according to socioeconomic status. The high socioeconomic status group was greatly represented (60%) in our study followed middle socioeconomic status group (39.40%).Middle socioeconomic status was found to be significantly associated to poor therapeutic adherence (OR = 2.68; CI95 = 1.33-5.53; p < 0.001).

Figure 9: Distribution according to socioeconomic status

Figure 10 shows the distribution of participants according to possession of health insurance. Only 11.00% of our study population had a health insurance.

Figure 10:Distribution according to possession of health insurance

II- CLINICAL AND THERAPEUTIC CHARACTERISTICS OF THE STUDY POPULATION

Figure 11 shows the BP distribution of the study participants. The High Normal BP group was the most represented (n=43; 24.60%). Only 4.60% had a Grade III hypertension.

Figure 11: Blood pressure distribution of the study population on enrolment

Figure 12 shows the distribution of participants according to BP status. 57.70% of the study population had a controlled BP and 42.30% were uncontrolled.

Figure 12: Blood pressure status distribution of the study population

Figure 13 illustrates the distribution of comorbidities of the study population. The most frequently associated pathology to HBP was heart failure (24.57%) followed by hypercholesterolemia (20.00%).

*Other comorbidities encountered in the study included : gout, arthritis, gastritis, hyperthyroidism, epilepsy, anemia, asthma, benign prostate hypertrophy, depression, glaucoma, haemorrhoids, and deep venous thrombosis

Figure 13: Distribution of comorbidities of the study population

Figure 14 shows the distribution of participants according to type of handicap.32 participants had a form of handicap. 16.57% of the study population had a motor handicap and 1.71% had a sensory handicap. Presence of handicap was found to be significantly associated to poor therapeutic adherence (OR = 4.12; CI95 = 1.45-14.34; p < 0.001).

Figure 14: Distribution according to type of handicap

Table IX shows the different classes screened in the study. Calcium channel blockers was the most encountered (31.90%) monotherapy drug class in our study. ACE inhibitors/thiazide diuretics was the most encountered fixed-dose combination bitherapy (40.96%). ACE inhibitors/Thiazide diuretics/CCBs was the most frequent fixed-dose combination tritherapy encountered (81.80%).

Table IX: Distribution according to class of antihypertensive used by the study population on enrolment

Fixed-dose therapies

Number

Percentage (%)

Monotherapy

 
 

CCBs*

69

31.90

BBs**

40

18.50

Loop diuretics

39

18.10

ACE*** inhibitors

29

13.40

Thiazide diuretics

18

8.30

Potassium-sparing diuretics

11

5.10

ARA2****

7

3.20

Centrally acting antihypertensives

3

1.40

Total

216

100.00

Bitherapy

 
 

ACE inhibitors/Thiazide diuretics

34

40.96

ACE inhibitors/CCBs

18

21.69

ARA2/Thiazide diuretics

8

9.64

Thiazide diuretics/CCBs

7

8.43

BB/Thiazide diuretics

5

6.02

Potassium-sparing diuretics/Thiazide diuretics

5

6.02

CCBs/ARA2

4

4.82

BB/Thiazide diuretics

1

1.20

Thiazide diuretics/Rauwolfia alkaloid

1

1.20

Total

83

100.00

Tritherapy

 
 

ACE inhibitors/Thiazide diuretics/CCBs

9

81.80

CCBs/ARA2/Thiazide diuretics

2

18.20

Total

11

100.00

***ACE: Angiotensin Converting Enzyme; ****ARA2: Angiotensin 2 Receptor Antagonist; **BB: Beta Blocker; *CCB: Calcium Channel Blocker

Table X portrays the therapeutic characteristics of the study population.

In this study, 81.10% of participants had less than 3 different antihypertensives at the moment of enrolment.

Of the 175 participants, 46.30% had a monthly medication cost between 10000FCFA and 20000FCFA followed by 33.10% whose monthly drug cost was <10000FCFA. Only 5.10% had a monthly drug cost of =30000FCFA. The mean monthly drug cost was 14543 #177; 8613 FCFA with extremes between 800FCFA and 50000FCFA.

Among the 175 participants, 98.30% were on a once daily medication schedule and 92.60% took their medication(s) in the morning with breakfast. In this study, 65.70% were on monotherapy and 88.60% were on a specialty drug. Of the 175 participants, 38.30% experienced side effects with respect to ongoing treatment.

Among the 175 participants, 55.40% were on treatment for less than 10 years. Mean duration on treatment was 9.4 #177; 7.3 years with extremes from 7 months to 36 years.

3 therapeutic variables were found to be significantly associated with poor adherence; monotherapy (OR = 2.07; CI95 =1.07 - 4; p = 0.020); drug taking in the evening (OR = 2.55; CI95 =1.07-6.62; p = 0.030); presence of side effects (OR = 11.51; CI95 =4.47-34.2; p = 0.000).

<10000FCFA monthly treatment cost was found to be significantly associated with good therapeutic adherence(OR = 0.5; CI95 =0.26-0.97; p = 0.030).

Table X: Distribution of therapeutic variables

 

Poor adherence

Good adherence

Total

P-value*

PA**

Therapeutic variables

n (%)

n (%)

n (%)

 

 

Antihypertensive taken

 
 
 

<3

92 (64.8)

50 (35.2)

142 (81.1)

0.090

 

=3

26 (78.8)

7 (21.2)

33 (18.9)

0.090

 

Therapy type

 
 
 
 
 

Monotherapy

84 (73)

31 (27)

115 (65.7)

0.020

0.0295

Bitherapy

55 (66.3)

28 (33.7)

83 (47.4)

0.440

 

Tritherapy

5 (45.5)

6 (54.5)

11 (6.3)

0.100

 

Posology

 
 
 
 
 

Once daily

116 (67.4)

56 (32.6)

172 (98.3)

0.700

 

Twice daily

22 (78.6)

6 (21.4)

28 (16)

0.120

 

Thrice daily

1 (100)

0 (0)

1 (0.6)

0.670

 

Moment the drug was taken

 
 
 
 
 

Morning

109 (67.3)

53 (32.7)

162 (92.6)

0.580

 

Afternoon

6 (60)

4 (40)

10 (5.7)

0.420

 

Evening

31 (81.6)

7 (18.4)

38 (21.7)

0.030

0.0399

Morning, evening

22 (81.5)

5 (18.5)

27 (15.4)

0.070

 

Morning, afternoon, evening

1 (100)

0 (0)

1 (0.6)

0.670

 

Side-effects

 
 
 
 
 

Yes

62 (92.5)

5 (7.5)

67 (38.3)

<0.001

<0.001

No

56 (51.9)

52 (48.1)

108 (61.7)

 
 

Type of medication taken

 
 
 
 
 

Specialty

106 (68.4)

49 (31.6)

155 (88.6)

0.300

 

Generic

44 (71)

18 (29)

62 (35.4)

0.290

 

Monthly drug cost (FCFA)

 
 
 

 

<10000

33 (56.9)

25 (43.1)

58 (33.1)

0.030

[10000-20000[

59 (72.8)

22 (27.2)

81 (46.3)

0.100

[20000-30000[

20 (74.1)

7 (25.9)

27 (15.4)

0.290

=30000

6 (66.7)

3 (33.3)

9 (5.1)

0.610

Duration on treatment (years)

 
 
 
 

<10

66 (68)

31 (32)

97 (55.4)

0.423

[10-20[

37 (71.2)

15 (28.8)

52 (29.7)

0.252

=20

15 (57.7)

11 (42.3)

26 (14.9)

0.132

*p-value from Chi-square test; **PA is p-value adjusted for significant factors obtained from logistic regression analysis using variables with P < 0.05 in bivariate analysis as candidate variables.

III- ASSESSMENT OF ADHERENCE TO ANTIHYPERTENSIVE TREATMENT

Of the 175 participants, 32.60% were high adherers; 40.60% of participants were medium adherers; and 26.90% were low adherers. Table XIshows the adherence profiles of the study population while figure 15 illustrates the level of adherence.

Table XI: Distribution of adherence profiles

Adherence profile (Morisky score)

Number

Percentage (%)

Low adherers

47

26.90

Medium adherers

71

40.60

High adherers

57

32.60

Total

175

100.00

Figure 15: Distribution of adherence levels

IV- ASSOCIATION OF ADHERENCE WITH BP STATUS

Table XII shows the distribution according to BP status and good adherence. 36.57% of the study participants who had a poor adherence to medication equally had an uncontrolled BP. Of the 74 participants having an uncontrolled BP, 86.49% had poor therapeutic adherence.

Uncontrolled (OR = 5.57; CI95 =2.6-12.48; p = 0.000) BP was found to be significantly associated with poor therapeutic adherence.

A controlled BP status (OR = 0.18; CI95 =0.08-0.38; p = 0.000) was found to be significantly associated to good therapeutic adherence.

Table XII: Distribution according to blood pressure status and good adherence

BP status

Good adherence

 

Yes (%)

No (%)

Total (%)

Controlled

47 (26.86)

54 (30.86)

101 (57.71)

Uncontrolled

10 (5.71)

64 (36.57)

74 (42.29)

Total

57 (32.57)

118 (67.42)

175 (100)

V- LEVEL OF KNOWLEDGE OF STUDY POPULATION

Figure 16 shows the distribution according to level of knowledge on hypertension. Of the 175 participants, 54.30% were knowledgeable about hypertension and 37.7 % had good knowledge.

Figure 16: Distribution according to level knowledge on hypertension

After multivariate analysis with logistic regression 9 predictive factors of poor therapeutic drug adherence were identified (Table XIII): 1st cycle secondary education(p=0.0209; OR = 3.0287); Single marital status (p = 0.0003; OR = 4.6623); trip duration of= 1 hour away from the hospital (p = 0.008; OR = 7.3925); middle socioeconomic status (p = 0.006; OR = 2.6814);uncontrolled BP status(p = 0; OR = 5.5704); presence of handicap(p = 0.0117; OR = 4.1222); Monotherapy(p = 0.0295; OR = 2.0721); presence of side effects(p = 0; OR = 11.5143);and taking medication in the evening (p = 0.0399; OR = 2.5452).

Table XIII: Predictive factors of poor therapeutic adherence

Variable

Odds Ratio

C.I. 95%

P-Value

Level of education: Secondary-1st cycle

3.0287

1.1831-7.7536

0.0209

Marital status: Single

4.6623

2.0302-10.7068

0.0003

Trip duration: = 1 hour

7.3925

1.6856-32.4209

0.008

Socioeconomic status: Middle

2.6814

1.3272-5.4172

0.006

BP status: Uncontrolled

5.5704

2.5723-12.0626

<0.001

Presence of handicap

4.1222

1.3706-12.3976

0.0117

Type of therapy: Monotherapy

2.0721

1.0752-3.9932

0.0295

Presence of side effects

11.5143

4.2945-30.8719

<0.001

Moment drug is taken: Evening

2.5452

1.0443-6.2033

0.0399

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