| Literature DB >> 35505447 |
Amira S A Said1,2,3, Nadia Hussain4,5, Zelal Kharaba6,4, Amal H I Al Haddad7, Lamiaa N Abdelaty8, Raghda R S Hussein9,10.
Abstract
BACKGROUND: Asthma is a significant public health issue that poses a substantial health and economic burden. Despite the availability of effective asthma medications, its management remain suboptimal. Recent asthma guidelines have highlighted the importance of pharmacist unique position and its interventional strategies in positively impacting asthma treatment outcomes. Therefore, this study aimed to assess the degree of Egyptian pharmacists' knowledge, attitudes, as well as their practices towards asthma management in line with the recent asthma guidelines.Entities:
Keywords: Asthma; Attitude; Knowledge; Pharmacists; Practice
Year: 2022 PMID: 35505447 PMCID: PMC9062855 DOI: 10.1186/s40545-022-00432-0
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Demographic characteristics of recruited participants (n = 550)
| Characteristic | Category | Number (%) |
|---|---|---|
| Gender | Male Female | 316 (57.4) 234 (42.5) |
| Age (yr) | < 35 36–34 > 47 | 325 (59%) 135 (24.5%) 90 (16.3) |
| Education Level | BS Pharmacy Pharm. D Master Ph.D. | 340 (61.8) 80 (14.5) 70 (12.7) 60 (10.9) |
| Pharmacy Type | Hospital pharmacy Community pharmacy | 223 (40.5) 327 (59.4) |
| Years of pharmacy practice experience (yr) | < 5 6–10 > 10 | 150 (27.3) 232 (42.1) 168 (30.5) |
| Pharmacy position | Owner Staff | 300 (54.5) 250 (45.4) |
| Weekly working hours | 1–20 h 20–40 h > 40 h | 67 (12.2) 210 (38.2) 273 (49.6) |
| Number of Daily patients | < 10 10–50 50–100 > 100 | 55 (10) 212 (38.5) 224 (40.7) 56 (10.2) |
The responses of pharmacists and the reliability analysis on various statements regarding KAP and barriers towards asthma management (n = 550)
| Yes, Response (%) or (Mean ± SD) | Cronbach’s alpha | |||
|---|---|---|---|---|
| Knowledge | 1. | Do you know the typical respiratory symptoms of asthma | 522 (94.4) | 0.85 |
| 2. | Do you know how to use the peak flow meter | 509 (92.5) | ||
| 3. | Do you how to assess severity of your asthma patient? | 426 (77.5) | ||
| 4. | Do you know that using Steroid inhalation can affect significantly child's growth | 381 (69.2) | ||
| 5. | Are you aware of the recent asthma treatment guidelines | 183 (33.4) | ||
| 6. | Do you know that GINA no longer recommends SABA treatment alone without ICS even with mild intermittent asthma | 124 (22.5) | ||
| 7. | Do you know the recent concerns about using SABA only | 200 (36.3) | ||
| 8. | Do you know that you should advise patients to avoid using nebulizer as possible for fear of infection transmission in the current epidemic situation | 208 (37.8) | ||
| 9. | Do you know that patients should avoid spirometry with confirmed or suspected COVID-19 cases | 210 (38.8) | ||
| Attitude | 1. | The pharmacist plays a very important role in the asthma care team | 4.14 ± 1.10 | 0.78 |
| 2. | Do you consider yourself able to manage asthma patients? | 3.97 ± 1.07 | ||
| 3. | Pharmacist need to attend more CME programs to qualify as a competent asthma educator | 4.37 ± 0.94 | ||
| 4. | The outcome of asthma management is greatly dependent on patient behaviors rather than pharmacists’ efforts | 3.52 ± 1.15 | ||
| 5. | Asthmatic patients may benefit from disease monitoring with peak flow meter | 3.89 ± 1.9 | ||
| 6. | Proper asthmatic patient counseling greatly affects the success of asthma management | 3.60 ± 1.13 | ||
| Practice | 1. | Do you perform a detailed history examination for asthma | 2.63 ± 0.97 | 0.81 |
| 2. | Do you identify the modifiable risk factors for poor asthma outcomes? | 3.55 ± 1.32 | ||
| 3. | Do you check if the patient has a written asthma plan? | 2.81 ± 1.16 | ||
| 4. | Do you check patients inhalation technique | 3.10 ± 0.77 | ||
| 5. | Do you ask patients about their preference in asthma treatment | 2.64 ± 1.36 | ||
| 6. | Do you ask the patient about their treatment side effects? | 2.50 ± 0.88 | ||
| 7. | Do you open an empathic discussion with patients about their adherence | 2.69 ± 0.97 | ||
| 8. | Do you advise patients to regularly take their ICS as that might worsen their asthma medications | 3.32 ± 1.22 | ||
| 9. | Do you advise patients to discuss with you before stopping any of their medication | 3.04 ± 0.91 | ||
| 10. | Do you teach patients about self-monitoring of symptoms | 3.17 ± 1.56 | ||
| 11. | Do you assess symptoms control over the last 4 weeks? | 3.30 ± 0.59 | ||
| 12. | Do you use PEFM for follow-up of asthma patient? | 3.29 ± 0.92 | ||
| 13. | Do you consider stepping down asthma treatment after proper asthma | 3.61 ± 1.11 | ||
| 14. | Do you schedule a follow-up visit for asthma patients control for 3 months | 3.50 ± 1.21 | ||
| Barriers | 1. | Lack of time by the pharmacist | 4.02 ± 2.1 | 0.83 |
| 2. | Lack of time by the patient | 4.13 ± 0.84 | ||
| 3. | Pharmacists’ perception that it is not their role | 2.91 ± 0.92 | ||
| 4. | Patient’s perception that it is not the pharmacist’s role | 3.84 ± 0.69 | ||
| 5. | No financial incentive | 3.43 ± 0.92 | ||
| 6. | Lack of pharmacist confidence and skills in asthma management | 3.16 ± 0.88 | ||
| 7. | Lack of pharmacist confidence and skills in asthma counseling | 2.69 ± 0.59 | ||
| 8. | Lack of pharmacist confidence and skills in asthma monitoring | 3.56 ± 1.10 | ||
Fig. 1a Knowledge among pharmacists regarding asthma (n = 550). b Mean weighted score of pharmacists’ attitude towards asthma (n = 550). c Mean weighted score of pharmacists practices towards asthma (n = 550). d Mean weighted score of pharmacists encountered barriers towards asthma (n = 550).
Bivariate analysis of factors associated with the knowledge, attitude, and practice scores
| Variable | Knowledge (Mean ± SD) | Attitude (Mean ± SD) | Practice (Mean ± SD) | Barriers (Mean ± SD) |
|---|---|---|---|---|
| Gender | ||||
| Male | 5.69 ± 2.31 | 22.69 ± 3.15 | 45.86 ± 5.94 | 30.62 ± 3.69 |
| Female | 5.48 ± 1.12 | 23.97 ± 3.25 | 45.97 ± 5.36 | 29.82 ± 4.85 |
| | 0.31 | 0.07* | 0.23 | 0.07 |
| Age (yr) | ||||
| < 35 | 5.48 ± 1.01 | 23.74 ± 2.15 | 44.16 ± 5.47 | 32.21 ± 4.32 |
| 36–34 | 5.51 ± 0.75 | 24.11 ± 3.01 | 43.28 ± 4.97 | 32.11 ± 5.11 |
| > 47 | 5.68 ± 1.1 | 23.58 ± 1.69 | 42.91 ± 4.25 | 32.91 ± 4.23 |
| 0.33 | 0.6 | 0.09 | 0.07 | |
| Education level | ||||
| BS Pharmacy | 5.48 ± 1.25 | 23.45 ± 4.02 | 43.71 ± 5.14 | 34.45 ± 3.36 |
| Pharm. D | 5.55 ± 1.36 | 23.83 ± 3.17 | 45.67 ± 5.55 | 35.15 ± 3.25 |
| Master | 5.71 ± 1.04 | 23.86 ± 4.01 | 44.28 ± 6.15 | 34.66 ± 3.15 |
| Ph.D. | 5.23 ± 0.98 | 23.65 ± 4.15 | 43.61 ± 5.97 | 34.15 ± 3.66 |
| | 0.7 | 0.41 | 0.06 | 0.09 |
| Pharmacist | ||||
| Hospital pharmacist | 5.69 ± 0.36 | 23.91 ± 1.54 | 44.91 ± 3.85 | 31.52 ± 3.17 |
| Community pharmacist | 5.01 ± 0.48 | 23.69 ± 2.51 | 41.11 ± 4.87 | 30.31 ± 3.74 |
| | < 0.001* | 0.27 ± 1.25 | < 0.001* | 0.008 |
| Years of experience (yr) | ||||
| < 5 | 5.53 ± 1.25 | 23.26 ± 2.36 | 41.21 ± 4.85 | 32.62 ± 3.17 |
| 6–10 | 5.61 ± 1.01 | 23.58 ± 3.01 | 43.14 ± 5.94 | 32.22 ± 3.15 |
| > 10 | 6.35 ± 1.61 | 23.81 ± 3.11 | 44.28 ± 3.69 | 33.11 ± 3.66 |
| | 0.039* | 0.68 | < 0.001* | 0.08 |
| Pharmacy position | ||||
| Owner | 5.97 ± 2.15 | 23.67 ± 4.05 | 41.39 ± 5.13 | 31.86 ± 2.97 |
| Staff | 5.69 ± 1.02 | 23.47 ± 3.94 | 41.69 ± 5.19 | 31.42 ± 3.48 |
| | 0.41 | 0.25 | 0.62 | 0.117 |
| Weekly working hours | ||||
| 1–20 h | 5.33 ± 0.15 | 23.45 ± 4.15 | 42.16 ± 5.47 | 32.84 ± 3.15 |
| 20–40 h | 5.74 ± 0.95 | 23.83 ± 3.25 | 42.11 ± 5.17 | 32.90 ± 4.01 |
| > 40 h | 5.67 ± 0.36 | 23.65 ± 3.74 | 42.66 ± 5.36 | 32.81 ± 3.69 |
| | 0.3 | 0.5 | 0.1 | 0.9 |
| Number of Daily patients | ||||
| < 10 | 5.19 ± 0.94 | 22.82 ± 1.64 | 43.71 ± 5.17 | 31.45 ± 3.97 |
| 10–50 | 5.61 ± 0.47 | 22.49 ± 3.62 | 43.28 ± 6.11 | 32.91 ± 1.69 |
| 50–100 | 5.39 ± 0.25 | 22.46 ± 2.58 | 43.69 ± 4.97 | 33.14 ± 2.87 |
| > 100 | 5.75 ± 1.20 | 22.63 ± 4.15 | 44.13 ± 5.28 | 30.25 ± 3.84 |
| | 0.37 | 0.5 | 0.049* | 0.02 |
In addition, the Pearson correlation tests showed a positive and significant correlation amid KAP scores as follows: knowledge–attitude (r = 0.294, p < 0.001), attitude–practice (r = 0.211, p < 0.001), and knowledge–practice (r = 0.234, p < 0.001)
*p < 0.05
Fig. 2Mean knowledge, attitudes, practices, and barrier scores of study pharmacists. Knowledge score < 5 = poor knowledge, 5–6 score = moderate knowledge, and ≥ 7 score = good knowledge. Attitude score < 15 = poor attitude, 15–21 score = moderate attitude, and > 21 score = good attitude. Practice score < 35 = poor practice, 35–52 score = moderate practice, and > 52 score = good practice. Barrier score < 20 = poor barrier, 20–30 score = moderate barrier, and > 30 = good barrier