| Literature DB >> 31069001 |
Imad Nouamou1, Monia El Mourid1, Yassine Ragbaoui1, Rachida Habbal1.
Abstract
The treatment of coronary artery diseases has made significant progress. Medication adherence among patients with coronary artery disease, in particular among elderly patients, is a major challenge to disease control and prevention of its complications. Medication adherence could be influenced by the demographic and socio-economic vulnerable situation in the African countries. We conducted a cross-sectional study of elderly patients treated for stable coronary artery disease on an ambulatory basis from March to October 2016. Medication adherence was evaluated by a questionnaire: Morisky Medication Adherence Scale. The informations about predictive factors of medication adherence were obtained from a multidimensional adherence model. The study involved 115 elderly patients (age > 65 years). Medication adherence accounted for 72.2%, according to Morisky Medication Adherence Scale. Physical inactivity was found in 59% of patients, hypertension and diabetes in 42.6% and 41.7% of patients respectively. Poor compliance predictive factors were: the absence of a mutual health (p = 0.02), the severity of symptoms (p = 0.001), patients who had acute coronary syndrome (p = 0.006), the level of social support (p = 0.011) and depression (p = 0.006). Medication adherence is a health problem in Morocco, particularly among elderly subjects. Health care providers should be aware of factors associated with a higher probability of stopping treatment, in particular of variable factors, in order to implement personalized strategies to improve adherence to treatment.Entities:
Keywords: Medication adherence; coronary artery disease; elderly subject; social and personal factors
Mesh:
Year: 2019 PMID: 31069001 PMCID: PMC6492307 DOI: 10.11604/pamj.2019.32.8.12415
Source DB: PubMed Journal: Pan Afr Med J
Caractéristiques sociodémographique, clinique et psychosociale
| Effectif (n=115) | % | |
|---|---|---|
| Masculin | 71 | 61,7 |
| Féminin | 44 | 38,3 |
| 28 | 24,3 | |
| 29 | 25,2 | |
| 32 | 27,8 | |
| HTA | 39 | 42,6 |
| Diabète | 48 | 41,7 |
| Dyslipidémie | 29 | 25,2 |
| Tabagisme | 33 | 28,7 |
| Sédentarité | 68 | 59,1 |
| Faible | 9 | 7,8 |
| Moyenne | 81 | 70,4 |
| Elevée | 21 | 18,3 |
| Très élevée | 2 | 1,7 |
| Extrêmement élevée | 2 | 1,7 |
| Dyspnée ou angor ≤ Stade II (NYHA[ | 69 | 60 |
| Dyspnée ou angor ≥ Stade III (NYHA;CCS) | 46 | 40 |
| < 40% | 15 | 13 |
| 40-49% | 63 | 54,8 |
| ≥ 50% | 37 | 32,2 |
| SCA | 70 | 60,9 |
| Sans SCA | 45 | 39,1 |
NYHA: New York Heart Association
CCS: Canadian Cardiovascular Society
Facteurs prédictifs de l'adhésion médicamenteuse
| Observant n (%) | Non observant n (%) | P | |
|---|---|---|---|
| Masculin | 50 | 21 | 0,59 |
| Féminin | 33 | 11 | |
| 25 | 3 | 0,02[ | |
| 18 | 11 | 0,16 | |
| 24 | 8 | 0,675 | |
| HTA | 35 | 14 | 0,878 |
| Diabète | 33 | 15 | 0,488 |
| Dyslipidémie | 21 | 8 | 0,973 |
| Tabagisme | 22 | 11 | 0,403 |
| Sédentarité | 49 | 19 | 0,974 |
| Dyspnée ou angor ≤ Stade II (NYHA;CCS) | 42 | 27 | 0,001[ |
| Dyspnée ou angor ≥ Stade III (NYHA;CCS) | 41 | 5 | |
| 0,006[ | |||
| SCA | 57 | 13 | |
| Sans SCA | 26 | 19 | |
| 62 | 16 | 0,011[ | |
| 31 | 21 | 0,006[ |
NYHA: New York Heart Association
CCS: Canadian Cardiovascular Society