Personal factors

Patients adherent (n=105)

Patients non adherent (n=25)

P value

Sexe

 

 

 

Female

64 (61.0%)

19 (76.0%)

p=0.15*

Male

41 (39.0%)

6 (24.0%)

 

Group Age

 

 

 

18 – 34 years

39 (37.1%)

7 (28%)

p=0.04*

35 – 42 years

28 (26.7%)

13 (52%)

 

43 – 63 years

38 (36.2%)

5 (20%)

 

Marital status

 

 

 

Monogamous

38 (36.2%)

7 (28%)

 

p=0.54***

Polygamous

37 (35.2%)

11 (44%)

Single

12 (11.4%)

2 (8%)

Divorced

6 (5.7%)

0 (0%)

Widow

12 (11.4%)

5 (20%)

Level of education

 

 

 

None

73 (69.5%)

17 (68%)

p=0.70***

Primary

23 (21.9%)

7 (28%)

 

Secondary

9 (8.6%)

1 (4%)

 

Average monthly income

 

 

 

Less than 25 000 FCFA

68 (64.8%)

23 (92.0%)

p<0.01*

25 000 FCFA and more

37 (35.2%)

2 (8.0%)

 

Clinical and biological factors

 

 

 

WHO stage at the start of ARV
treatment

 

 

 

Stage I

5 (4.8%)

2 (8%)

p=0.66***

Stage II

12 (11.4%)

4 (16%)

 

Personal factors

Patients adherent (n=105)

Patients non adherent (n=25)

P value

Stage III

74 (70.5%)

15 (60%)

 

Stage IV

14 (13.3%)

4 (16%)

 

CD4 count at start of ARV treatment

 

 

 

< 250 CD4/mm3

94 (89.5%)

17 (68%)

p=0.01 **

≥ 250 CD4/mm3

11 (10.5%)

8 (32%)

 

CD4 count at time of data gathering

 

 

 

< 75 CD4/mm3

11 (10.5%)

8 (32%)

p=0.01 **

≥ 75 CD4/mm3

94 (89.5%)

17 (68%)

 

Facility-related factors

 

 

 

Patient-specific location of care

 

 

 

Discrete

92 (87.6%)

15 (60%)

p<0.01 **

Non-discrete

13 (12.4%)

10 (40%)

 

Physician availability according to
patient

 

 

 

Yes

94 (89.5%)

20 (80%)

p=0.19 **

No

11 (10.5%)

5 (20%)

 

Time to arrive at the hospital

 

 

 

≤ 1 hour

70 (66.7%)

10 (40%)

p=0.02*

> 1 hour

35 (33.3%)

15 (60%)

 

Attendance at adherence club

 

 

 

Yes

17 (16.2%)

3 (12%)

p=0.76 **

No

88 (83.8%)

22 (88%)

 

Factors related to ARV treatment

 

 

 

Single product combination therapy

 

 

 

Yes

62 (59%)

16 (64%)

p=0.64*

No

43 (41%)

9 (36%)

 

Duration of ARV treatment

 

 

 

< 55 months

87 (82.9%)

16 (64%)

p=0.03*

≥ 55 months

18 (17.1%)

9 (36%)

 

Factors related to knowledge
about ARV treatment

 

 

 

Cure of the disease by ARVs

 

 

 

Yes

9 (08.6%)

1 (04.0%)

p=0.39***

No

96 (91.4%)

24 (96.0%)

 

Regression of the disease by ARVs

 

 

 

Yes

91 (86.7%)

16 (64.0%)

p=0.01 **

No

14 (13.3%)

9 (36%)

 

Improvement of health by ARVs

 

 

 

Yes

99 (94.3%)

18 (72.0%)

p<0.01***

No

6 (5.7%)

7 (28.0%)

 

Possibility of discomfort even with
correct use of ARVs

 

 

 

Yes

60 (57.1%)

7 (28.0%)

p<0.01*

No

45 (42.9%)

18 (72.0%)

 

Knowledge of the risks of taking
ARVs incorrectly

 

 

 

Yes

94 (89.5%)

13 (52.0%)

p<0.01 **

No

11 (10.5%)

12 (48.0%)

 

* Pearson’s Chi-square, ** Yates’ corrected chi-square, *** Fischer test exact de Table 1: Distribution of factors by adherent and non-adherent patients

Associated factors

Model 1
OR [95 % CI]

Model 2
OR [95 % CI]

Model 3
OR [95 % CI]

Model 4
OR [95 % ICI]

Personal factors

 

 

 

 

Group Age

 

 

 

 

18 - 34 years

1

1

1

1

35 - 42 years

3.02 [1.03 – 8.81]

2.35 [0.74 – 7.48]

2.91 [0.83 – 0.13]

4.14 [0.97 – 17.56]

43 – 63 years

0.97 [0.26 – 3.56]

0.75 [0.19 – 2.93]

0.97 [0.23 – 4.12]

0.99 [0.18 – 5.20]

Sexe

 

 

 

 

Male

1

1

1

1

Female

2.10 [0.72 – 6.10]

1.75 [0.56 – 5.50]

1.92 [0.55 – 6.63]

2.19 [0.53 – 8.95]

Facility-related factors

 

 

 

 

Time to arrive at the hospital

 

 

 

 

≤ 1 hour

 

1

1

1

> 1 hour

 

2.74 [1.04 – 7.17]

2.76 [1– 7.57]

2.46 [0.82 – 7.40]

Patient-specific location of care

 

 

 

 

Discrete

 

1

1

1

Non-discrete

 

3.45 [1.16 – 10.22]

3.50 [1.12 – 10.94]

1.33 [0.33 – 5.35]

Clinical and biological factors

 

 

 

 

CD4 count at time of
data gathering

 

 

 

 

≥ 75 CD4/mm3

 

 

1

1

< 75 CD4/mm3

 

 

4.59 [1.35 – 15.57]

4.50 [1.22 – 16.55]

Oral lesion

 

 

 

 

Yes

 

 

1

1

No

 

 

0.49 [0.16 – 1.54]

0.52 [0.14 – 1.81]

Factors related to knowledge
about ARV treatment

 

 

 

 

Knowledge of the risks of
taking ARVs incorrectly

 

 

 

 

Yes

 

 

 

1

No

 

 

 

6.44 [1.90 – 21.85]

Duration of ARV treatment

 

 

 

 

≤ 55 months

 

 

 

1

> 55 months

 

 

 

3.65 [0.97 – 13.79]

Table 2: Multivariate Analysis Model 1 : AIC=127.39, sensibility (Se)=52%, specificity (Sp)=73%, Aréa Under the Curve (AUC)=0.642, test d’Hosmer et Lemeshow (p=0.46) Model 2 : AIC=120.49, Se=88%, Sp=51.4%, AUC=0.755, test d’Hosmer et Lemeshow (p=0.90) Model 3 : AIC=117.34, Se=80,4%, Sp=72.4%, AUC=0.801, test d’Hosmer et Lemeshow (p=0.75) Model 4 : AIC=108.45, Se=80%, Sp=81.9%, AUC=0.869, test d’Hosmer et Lemeshow (p=0.73)

At the end Of 2010, the estimated number Of person living HIV (PLHIV) was 34 million and 68% Of them were living in sub-Saharan Africa [11. According to ONUSIDA, Since 20E at least 6 millions Of PLHIV with 4.1 million in sub —Saharan Africa were suffering Of an opportunistic disease associated with HIV at advanced Stage and having the need Of anti retroviral treatment [2].

In the commitment Of Malian authorities conducted to the establishment Of national policy against HIV/AID This policy is about making ARV free Of charge for all people living with HIV and having the need Of treatment with any discrimination [3]. In Mali the prevalence Of HIV decreased from 1.7 in 2001 to 1.3 in 2006 [4]. The number Of patients put in ARV treatment is growing, from 6815 subjects under ARV treatment in 2005 to 41925 in 2011 [5,6] This supports the fact that the treatment and care are improved particularly in favour Of antiretroviral (ARV) treatment.

Kayes is the first administrative region Of Mali with a population Of 1, 9993,615 inhabitants among them 40.3% are 15 and 49 years Old [7]. with the prevalence Of 0.7%[4], a total Of 2,358 were put under ARV treatment at the end Of 201 in the region Of Kayes [6].

The health professional in charge of those patient have been quickly faced many difficulties as the adverse reactions, the noncompliance to treatment and the treatment failure. Despite the fact that noticeable progress has been made in the treatment of HI, some barriers are still present for the long term success [8].

A Study conducted in Bamako (Mali) during the first year Of free Of charge Of ARV in 2004 reported 70 % Of patients' adherence to ARV One year later, 58.5% Of non-adherence to treatment has been registered in the patients followed at the University hospital Of Point G in Bamako [10]. This lack Of non-adherence was also observed in Burkina Faso in 2005 (70%) and in Cöte d'Ivoire (76%) [11, 121. Most Of these studies were from the first years Of access to free Of Charge Of ARV. Cambiano et al. in 2010 reported that the median time limit Of adhesion less or equal to 60% was 4 years starting from the beginning Of ARV treatment [13].

Many factors are associated to treatment adherence. Some of those factors were investigated in Morocco notably the difficulty related to the changes of work time or resting, involuntary omission [14]. Others factors including the marital status, the economic level and social support have investigated in Uganda [15]. In these studies, the estimation of adherence rates was only based on the information giving by the patients. Since 1976, Sackett et Haynes in their theoretical module categorized the non-adherence factors in 3 groups (the factors related to treatment, to patients and to the health services [16].

Therefore, the investigation Of these factors will allow strengthening the treatment follow up strategies, to avoid the emergence Of drug resistance and to the reduction Of economic COSt Of ARV treatment. This Study was initiated to Study the factors associated to non-adherence to ARV treatrnent 8 years after the access to free Of Charge ARV in the region Of Kayes in Mali.

Study design and population

This study was a cross sectional study conducted among the patients under ARV treatment in the hospital Fousseyni DAOU of Kayes in 2012. The patients included were aged of at least 18 years old and infected by the HIVI and /or the HIV2 and their ARV treatment initiated in the hospital Fousseyni DAOU for at least 6 months. The patients affected by TB or any other disease which lead to long term treatment and capable of interacting with ARV treatment were excluded from the study.

Sampling

With the prevalence Of 68% Of ARV treatment adherence reported in the literature and the confidence interval Of 95% and a precision Of O.(b 130 participants has been included in this study by using the sample calculation method Of Schwartz [15, 171. using the eligible patients register, a simple random sampling was performed to recruit the participants.

Calculation of the adherence rate

The adherence has been defined as the uptake of 95% of the prescribed doses by the patient during the last 7 days prior to the interview of the patient. This definition has been inspired from the work done by Knobel et 01 (2Q) and Laniece et al (2003) which work was subject of a large consensus in matter of treatment measure in the person living with HIV [18,19].

The adhesion rate in percentage has been calculated by the following formula: Adhesion rate = [No — Nm / No] x 100

NO = Number Of tablets which may be swallowed normally in the 7 days prior to this survey. Nm = Number Of tablets none swallowed in the 7 days prior to this survey.

The patient was classified non adherent to ARV treatment if the adherence rate was strictically inferior to 95%

Data collection

The data was collected at 3 levels:

  1. Patient : by direct interview, here the socio demographic, cultural, and economic (sex, age, marital status, education level, profession, montly income, time to hospital access and disease perception) information have been collected;
  2. At the drug store, here duration the drug delivery, some factors related to the treatment were collected (treatment regimen, the number Of tablets lost, the reason Of none drug uptake, treatment duration and the Sides effect. This Step also helps to verify the information from the patient during the direct interview;
  3. During the medical consultation: here the factors like co morbidities, baseline CD4 rate, the most recent CD4 rates and the clinical signs Of the patient have been collected.

The quality control of the collected data was certified by two supervisors from the Start to the end Of the data collection

Data analysis

The data was analysed using the R version 2.12.2 software. The dependent variable was the adhesion to ARV With two modalities (adherent and none adherent). The explicative variables were grouped in personal factors, factors linked to health services, clinical and biological factors and factors associated to ARV treatment. The bi variate analysis between the adhesion to ARV and the others categorical explicative variables were conducted regarding the conditions Of Pearson and Yates corrected Khi2 application and the Fisher exact test. The variables with P values less than 0.20 have been included in the multivariate analysis (20). In the first Step, a backward analysis was conducted to perform logistic regression. The models were compared using the likelihood Ratio tefl The Akaike criteria the most lower have been used to choose the final model for each group Of variables. In second Step, a forward analysis was conducted for the variables Of concern in model Of the grouped factors with the objective to come with a final model. The adequation Of this final model and the intermediate models was verified using the test Of Hosmer et Lemeshow [21]

Ethical considerations

All the participants signed the informed consent before their inclusion in the study.

Personal factors

From the 130 patients included, the sex ratio was in favour of men with 1.7(83/47). And the mean age of the participants was 39.31 years old with the range of 18 and 63 years. The majority of the patient was not educated (69.2%). Among those patients, 36.9% were from polygamy couple and more than the half of patients (70%) had very low monthly income (< $ US 45 per month) for the family of 4 member as a mean.

Clinical and biological factors

According to world health Organization (WHO) clinical classification, 68.5% (89/130) of the patients were in stage Ill, The buccal lesion was observed in of the All the infections was due to HIVIexCluding one case due to HIV2. The median Of CD4 level at the Of the treatment was 105.5 CD4/mm3 with the range Of 4 to 1,050 CD4/mm3 were noticed.

Factors associated to health services and ARV treatment

In total, 60 % (78/130) of the patients had their combined tritherapy in a single tablet et with a median duration under ARV treatment of 20 months and a range of 6 to 72 months. Only 15.4% (20/130) of the patients was attending the meeting helping for treatment observance. The knowledge of ARV treatment by the patients was relatively acceptable, because 90% (117/130) the patients thought that the ARV treatment improve their health status, 82.3% (107/130) of the patients reported that the ARV treatment slowed the progress of the infection, 47.7% (62/130) of the patients knew that the ARV do not eliminate the virus in the blood and 51.5% (67/130) said that ARV drugs may produce sides effect even if they were swallowed correctly. To reach the health center, 38.5% of the patients had more than one hour. The discretion Of health buildings where the patients were take care was satisfactory according to 82. 3 % (107/130) of the patients and 87.7%(114/130) were satisfied for the disponibility of the physician.

None adhesion to ARV treatment

During this study, 24.6% (32/130) Of the patient had lost one dose Of their ARV treatment 7 days before the survey. The most common reasons listed were the feeling Of being in depression, the sides effects of ARV inadequate timeframe Of ARV and the diffculty to swallow the tablets [3.1%(1/32)].among those patients were classified as non adherents with the overall adhesion rate less than 95%. The table I shows the comparison of patient's proportion adherents and none adherents regarding personal, clinical, biological factors associated to health services and those assxiated to ARV treatment. The of multivariate analysis are presented in the table II. In 1 adjustedfor the age group of 35-42 years old were retrieve to factors for non-adhesion [Adjusted OR = 3.02 Cl 95% (1.03 - 8.81)]. The time used to reach the health centre higher than 1 hour and the none discrete roorn of patient management to patient judgernent were associated to a high risk of non adhesion to ARV in model II adjusted for factors and to the factors to health services with respectively [Adjusted OR = 2.74 Cl 95% et [Adjusted OR = 3.45 a 95% (1.16 - 10.22)). By adjusting the model 2 according to clinical and biological rs, the factors associated to health services remained to the none adhesion and the level of CD4 < 75/mm3 was highly associated to none adhesion [Adjusted OR: 4.59 Cl 95% (1.35- 15.57)). In the final adjusted for all the group of factors (personal, health services, clinical, biological, ARV treatment), the patients do not knowing the risk of incorrect uptake of ARV drugs had 6 times rnore risk of being none adherent to ARV treatment [Adjusted OR- 6.44 Cl 95% (1.90-21.85)]

The objective Of this study was to study the factors asscxiated to none adherence to ARV treatment. During this Study the evaluation Of none adhesion from blood test Of antiretroviral concentration in patient under ARV has not been conducted. This may led to the misunderstanding Of some associated factors. But this method Of none adhesion evaluation requires highly plafform and high cost. using the method Of triangulation based on patient interview, his clinical Status and the information obtained at the ARV drug store, the result Showed that 19.2 % Of the patient was none adherent to ARV treatment. Les main factors Of none adhesion identified during this Study include the time used to reach health center more than 1 hour, indiscreet room for patient management and the unawareness Of patient regarding the incorrect uptake Of his ARV treatment.

The unawareness of the patient regarding the risk of incorrect uptake of her ARV treatment has been also reported by the authors from Tunisia. They had showed that the perception of drug uptake importance by the patient is significantly linked to the observance [221, The pre thera#utic advice should reinforced and an important accent should regard the risk of incorrect uptake of ARV drugs regardless the therapeutic regimen, The knowledge of unwanted observance consequences can give more beneficial effect on the adhesion of patient to ARV compare to simplistic regimens. But in Benin, the complexity of regimen has not been an unwanted factor of adhesion [231. Some studies conducted in 2002 in Ghana and Nepal had reported that the time used by the patients to reach health centres played a major obstacle to the adhesion to ARV treatment (24, 251. Thus in Nepal, the displacement time to reach hospital more than 1 hour contributed to approximately 3 times the risk Of being none adherent [251. It is obvious that those patients even if they are engaged to take correctly their treatment become non adherent due to the difficulties to reach the management centre because Of lack Of adequate means Of transport, to very distant place Of residence and to the worsening of roads during the raining season.

These different risk factors identified in this study reveals in somehow the lack of health system in relation to the health facilities accessibility for HIV/AID management and the communication related to HIV treatment but other studies pointed out the role of played by the factors related to patient by itself and to the ARV drugs [26,27, 28]. These studies had showed that the old are more likely to be adherent than young person in South Africa; the forgetfulness of the patient and feeling of were the risk factors of none adhesion reported in Nigeria and the side effects were the main barriers to adhesion in Botswana [26, 27, 281. It iS diffcult to reduce these risks related to personal characters of the patient or to the ARV drugs. On the other side, the factors related to health system in relation to the accessibility and the communication should be corrected easily to prevent the risk. The suitable access to ARV treatment could considerably change the life of the person living with HIV [29, 301. In resource limited countries, the reinforcement of the decentralization of the access to ARV could improve the quality of care and provide a positive impact on the of the patients. Many studies had demonstrated the effectiveness of communication (health professional —patient) in the adhesion to treatment [31, 32, 331. The competence of the health agents involved in the management of HIV/AID should reinforced i n communication related to ARV treatment.

This study showed that a big proportion of patients under ARV in the region of Kayes in Mali are not adherents. The lack of supply notably the information of the patients in relation to the risks of none adhesion and the barriers to access to health services were identified as the ridk factors Of none adhesion au ARV treatment, Therefore, the communication and access to health services should be taken priority by the prcVammes to improve the adhesion of ARV treatment by the person living With HIV.


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