| Literature DB >> 34046126 |
Nourelhouda Nouira1, Wided Bahria1, Dhekra Hamdi1, Amira Lahouegue1, Wiem Demni1, Maamoun Ben Cheikh1.
Abstract
INTRODUCTION: elderly frequently present a poly-pathology recurring polypharmacy. Therefore, strict medication adherence is essential to avoid poor health outcomes especially during health crises like the current COVID-19 pandemic. The aims of our study were to identify the predictors of medication non-adherence in elderly and to expose the role of the emergency department (ED) to improve the therapeutic adherence during COVID-19 pandemic.Entities:
Keywords: COVID-19; Elderly; adherence; emergency; medication
Mesh:
Year: 2021 PMID: 34046126 PMCID: PMC8140679 DOI: 10.11604/pamj.2021.38.220.26555
Source DB: PubMed Journal: Pan Afr Med J
elderly medication adherence according to the morisky medication adherence scale (MMAS)
| MMAS | % |
|---|---|
| 0 (Adherent) | 3 |
| 1 (Moderately Adherent) | 56 |
| 2 (Moderately Adherent) | 2 |
| 3 (Non-Adherent) | 25 |
| 4 (Non-Adherent) | 14 |
| 100 |
Patients who had a score of 0, 1 or 2 is considered as adherent to his medication and patients with 3 or 4 points on this scale were considered as non-adherent
comparison between the characteristics of adherent elderly group and the non-adherent to the medication group (univariate analyze)
| Characteristics | Population (n=100) | Non observants (n=39) | Observants (n=61) | OR | IC [95%] | p |
|---|---|---|---|---|---|---|
| Age (Years) | 73±8 | 71±6 | 76±10 | - | [-7.15; -0.57] | 0.01 |
| Female | 61 | 23 | 18 | 2.86 | [1.24; 6.58] | 0.03 |
| Origins | ||||||
| Urban area | 82 | 54 | 28 | 3.03 | [1.05; 8.67] | 0.03 |
| Rural area | 18 | 11 | 7 | |||
| Medical history | ||||||
| Metabolic | 58 | 20 | 38 | - | - | 0.27 |
| Cardiovascular | 75 | 32 | 43 | - | - | 0.19 |
| Neurological | 17 | 9 | 8 | - | - | 0.06 |
| Respiratory | 19 | 11 | 8 | - | - | 0.06 |
| Prescription | ||||||
| Long term | 49 | 31 | 18 | 0.10 | [0.04; 0.28] | 0.01 |
| Punctual | 23 | 10 | 13 | - | - | 0.61 |
| Self-medication | 19 | 4 | 15 | - | - | 0.07 |
| Total number of medications | 4±2 | 5±2 | 3±1 | - | [-3.17; -1.75] | 0.01 |
| Orientation | ||||||
| Hospitalization | 52 | 28 | 24 | 0.25 | [0.10; 0.60] | 0.02 |
| Back home | 48 | 11 | 37 | - | - | - |
n: number, OR: Odds ratio, CI: confidence interval
baseline characteristics of the elderly patients consulting the emergency department during the COVID-19 confinement (n = 816)
| Characteristics | Value |
|---|---|
| Sex ratio | 1.2 |
| Age years mean (SD) | 73±7 |
| Urban area | 689 (84%) |
| Rural area | 127 (16%) |
| Hypertension | 374 (45%) |
| Diabetes | 283 (34%) |
| Coronaropathy | 104 (12) |
| Chronic heart failure | 61 (7%) |
| Chronic renal failure | 35 (4%) |
| Less than 3 months | 114 (14%) |
| Between 3 and 6 months | 367 (45%) |
| More than 6 months | 335 (41%) |
| Yes | 255 (31%) |
| No | 561 (69%) |
| Dyspnea | 281 (34%) |
| Chest pain | 186 (23%) |
| Nausea, vomiting | 69 (8%) |
| Abdominal pain | 54 (7%) |
| Sore throat | 29 (3%) |
| Other | 197 (24%) |
SD: standard deviation, COVID-19: coronavirus disease-19