| Literature DB >> 35950071 |
Khaoula Houguig1, Samia Rkha1, Mahassine Rayadi2, Nadia Ouzennou1,3.
Abstract
Background: Therapeutic observance remains a major problem in managing diabetic subjects, just like in other pathologies treated by medication and lifestyle modification. This study aims to determine the rate of therapeutic observance among diabetic subjects in the province of Essaouira and to identify the factors that influence it.Entities:
Keywords: Diabetes; Morocco; medical treatment; observance
Mesh:
Year: 2022 PMID: 35950071 PMCID: PMC9341019 DOI: 10.4314/ejhs.v32i4.11
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
Conditions for evaluation of therapeutic observance
| Questions to assess medication adherence | Answer | Interpretation of results |
| Yes or No | Each “No” answer was counted as | |
| Yes or | “ | |
| Yes or | “ | |
| Yes or | “ |
Description of socio-demographic characteristics of the study population (n=498)
| Population (n=498) | ||
|
| ||
| Characteristics | Effective | % |
|
| ||
| Male | 109 | 29.1 |
| Female | 389 | 78.1 |
|
| ||
| <40 | 39 | 7.8 |
| [40–60] | 281 | 56.4 |
| >60 | 178 | 35.7 |
|
| ||
| Illiterate | 415 | 83.3 |
| Primary school | 46 | 9.2 |
| High school and university | 37 | 7.4 |
|
| ||
| SPC1 | 374 | 75.1 |
| SPC2 | 111 | 22.3 |
| SPC3 | 11 | 2.2 |
| SPC4 | 2 | 0.4 |
|
| ||
| <2 000 MAD | 437 | 87.8 |
| [2 000–4 000 MAD] | 43 | 8.6 |
| >4 000 MAD | 18 | 3.6 |
|
| ||
| Married | 356 | 71.5 |
| Divorced | 28 | 5.6 |
| Widowed | 97 | 19.5 |
| Single | 17 | 3.4 |
|
| ||
| Urban | 304 | 61 |
| Rural | 194 | 39 |
SPC: Socio-professional categories; MAD: official monetary currency of Morocco
Figure 1The prevalence rate of therapeutic observance
Association of therapeutic observance with different variables (n=498)
| Variables | Therapeutic observance | ||
|
| |||
| Yes | No | ||
|
| |||
| Female | 293(75.3) | 96(24.7) | 0,16 |
| Male | 89(81.7) | 20(18.3) | |
|
| |||
| <40 | 24(61.5) | 15(38.5) | 0,003 |
| [40–60] | 208(74) | 73(26) | |
| >60 | 150(84.3) | 28(15.7) | |
|
| |||
| <2000Dh | 340(77.8) | 97(22.2) | 0,27 |
| [2000–4000Dh] | 29(67.4) | 14(32.6) | |
| >4000Dh | 13(72.2) | 5(27.8) | |
|
| 0,047 | ||
| ≤8–6 years | 214(73.5) | 77(26.5) | |
| >8–6 years | 168(81.2) | 39(18.8) | |
|
| |||
| Yes | 125 (66.1) | 64(33.9) | |
| No | 257(83.2 ) | 52(16.8) | 0,000 |
|
| |||
| Good | 226(78.7) | 61(21.3) | |
| Poor | 156(73.9) | 55(26.1) | 0,2 |
|
| |||
| Good | 75(88.2) | 10(11.8) | |
| Poor | 307(74,3) | 106(25,7) | 0,006 |
|
| |||
| Good | 305(79.2) | 80(20.8) | |
| Poor | 77(68,1) | 36(31,9) | 0,014 |
|
| |||
| Yes | 65(63.7) | 37(36.3) | 0,001 |
| No | 317(80,1) | 79(19,9) | |
Bivariate analysis of factors influencing therapeutic observance
| Variables | Odds | Confidence Interval 95% | |
|
| 0.502 | 0.304–0.829 | 0.007 |
|
| 0.554 | 0.347 – 0.886 | 0.014 |
|
| 2.607 | 1.658 – 4.097 | 0.000 |
|
| 0.438 | 0.213 – 0.902 | 0.025 |
|
| 1.582 | 0.959 – 2.610 | 0.072 |
|
| 3.000 | 1.789 – 5.031 | 0.000 |
Odds ratio calculated using logistic regression. A value of p < 0.05 is considered significant