| Literature DB >> 29046815 |
Asnakew Achaw Ayele1, Henok Getachew Tegegn1.
Abstract
BACKGROUND: Asthma is a chronic inflammatory condition of the airways that affects roughly 358 million people globally. It is a serious global health problem with an increasing prevalence worldwide. Most people affected are in low- and middle-income countries including Ethiopia. The association between non -adherence and poor disease control is clearly stated in different literatures. The main objective of the present study was to assess self-reported non- adherence level and to identify the potential factors associated with non-adherence.Entities:
Keywords: Asthma; Ethiopia; Gondar; Inhalational; Non adherence
Year: 2017 PMID: 29046815 PMCID: PMC5639592 DOI: 10.1186/s40733-017-0035-0
Source DB: PubMed Journal: Asthma Res Pract ISSN: 2054-7064
Socio-demographic characteristics of the respondent-UOGTRH, 2016
| Patient characteristics and clinical data | N (%) |
|---|---|
| Total number of study population, N | 164 |
| Sex | |
| Male, n (%) | 70 (42.7) |
| Female, n (%) | 94 (57.3) |
| Age | |
| 18–30, n (%) | (77, 47) |
| 31–45, n (%) | (56, 34) |
| 46–64, n (%) | (18, 11) |
| > 65, n (%) | (13, 7.9) |
| Education level | |
| Unable to read and write, n (%) | 97 59.1 |
| Primary education, n (%) | 31 18.9 |
| Secondary education n (%) | 29 17.7 |
| Higher education, n (%) | 7 4.3 |
| Patient’s clinical data, n (%) | |
| Previous history of ADR | |
| Yes, n (%) | 31 (18.9) |
| No, n (%) | 133 (81.1) |
| Duration of disease, years mean (SD) | 6.09 + 3.13 |
| Previous inhaler education | |
| Yes, n (%) | 52 (81.1) |
| No, n (%) | 112 (19) |
| Smoking history | |
| Yes, n (%) | 11 (6.7) |
| No, n (%) | 153 (93.3) |
| Poly pharmacy | |
| Present | 47 (28.6) |
| Absent | 117 (71.4) |
| Co-morbidity | |
| Yes | 64 (39.1) |
| No | 100 (60.9) |
| Adherence level | |
| Adherent (TAI score≥50), n (%) | 81 (49.4) |
| Intermediate adherent (TAI score 46–49), n (%) | 53 (32.3) |
| Non-adherent (TAI score ≤ 45), n (%) | 30 (18.3) |
Response of the respondents to TAI questionnaires- UOGTRH, 2016
| TAI questions | TAI scores | ||||
|---|---|---|---|---|---|
| All n (%) | More than half n (%) | About half n (%) | Less than half n (%) | None n (%) | |
| How many times did you forget to take your regular inhalers in the last 7 days? | 6 (3.7) | 11 (6.7) | 13 (7.9) | 18 (11.6) | 115 (70.1) |
| Always | Almost always | Sometimes | Almost never | Never | |
| You forget to take your inhalers: | 7 (4.3) | 10 (6.1) | 11 (6.7) | 15 (9.1) | 121 (73.8) |
| When you are feeling well, you stop taking your inhalers: | 7 (4.3) | 13 (7.9) | 7 (4.3) | 34 (20.7) | 103 (62.8) |
| At the weekend or when you go on holiday, you stop taking your inhalers: | 12 (7.3) | 8 (4.9) | 5 (3) | 18 (11) | 121 (73.8) |
| When you are anxious or sad, you stop taking your inhalers: | 4 (2.4) | 5 (3) | 12 (7.3) | 13 (7.9) | 130 (79.3) |
| You don’t take your inhalers out of fear of potential side effects | 7 (4.3) | 8 (4.9) | 15 (9.1) | 2 (1.2) | 132 (80.5) |
| You stop taking your inhalers because you believe that they are of little help in treating your disease: | 3 (1.8) | 9 (5.5) | 14 (8.5) | 38 (13.2) | 100 (61) |
| You take fewer inhalations than prescribed by your doctor: | 6 (3.7) | 6 (3.7) | 16 (9.8) | 39 (23.8) | 97 (59.1) |
| You stop taking your inhalers because you believe that they interfere with your day-to-day or work life: | 4 (2.4) | 7 (4.3) | 11 (6.7) | 44 (26.8) | 98 (59.8) |
| You stop taking your inhalers because you have trouble paying for them: | 11 (6.7) | 6 (3.7) | 7 (4.3) | 26 (15.9) | 114 (69.5) |
Patient’s clinical and demographic data associated with non-adherence-
| Variables | Non - adherence | OR (95% CI) |
| ||
|---|---|---|---|---|---|
| Yes | No | COR | AOR | ||
| Age | |||||
| 18–30 | 5 | 72 | 1 | 1 | – |
| 31–45 | 6 | 50 | 0.769 (0.39–1.52) | 0.83 (0.35, 1.97) | 0.671 |
| 46–64 | 7 | 11 | 0.79 (0.27–2.30) | 1.39 (0.20–9.56) | 0.545 |
| > 65 | 10 | 3 | 1.24 (0.28–5.34) | 1.38 (0.18–10.22) | 0.432 |
| Education level | |||||
| Unable to read and write | 23 | 74 | 1.8 (0.92–3.24) | 2.71 (1.62, 7.66)a | 0.032 |
| Primary education | 7 | 24 | 2.48 (0.37–18.25) | 0.08 (0.10–0.79) | 0.553 |
| Secondary education | 4 | 25 | 0.66 (0.11–3.84) | 0.38 (0.03–4.37) | 0.653 |
| Higher education | 2 | 5 | 1 | 1 | – |
| Patients clinical data | |||||
| Previous inhaler education | |||||
| Yes | 5 | 49 | 1 | 1 | – |
| No | 64 | 48 | 2.24 (0.59–8.37) | 8.14 (1.27,47.29)a | 0.002 |
| Previous history of severe ADR | |||||
| Yes | 20 | 11 | 6.67 (0.61–73.03) | 29.87 (1.26, 708.6)a | 0.035 |
| No | 26 | 107 | 1 | 1 | _ |
| Poly pharmacy | |||||
| Present | 39 | 8 | 2.09 (0.88–4.30) | 6.488 (3.310, 15.770)a | 0.027 |
| Absent | 28 | 89 | 1 | 1 | – |
| Co-morbidity | |||||
| Yes | 44 | 20 | 0.76 (0.55, 1.03) | 4.60 (2.39, 12.945)a | 0.026 |
| No | 23 | 77 | 1 | 1 | – |
COR crude odds ratio, AOR adjusted odds ratio, ADR adverse drug reactions
a-statically significant