| Literature DB >> 35083130 |
Ashenafi Kibret Sendekie1, Adeladlew Kassie Netere1.
Abstract
INTRODUCTION: Community pharmacy professionals are among the initial healthcare providers and could play crucial roles in preventing and managing cardiovascular disorders. This study aimed to assess perceptions and involvements of community pharmacy professionals in the prevention and management of cardiovascular disorders in Gondar city and nearby rural towns, Northwest Ethiopia.Entities:
Keywords: Ethiopia; cardiovascular disease; community pharmacists; involvements; perceptions
Year: 2022 PMID: 35083130 PMCID: PMC8784253 DOI: 10.2147/IPRP.S348260
Source DB: PubMed Journal: Integr Pharm Res Pract ISSN: 2230-5254
Socio-Demographic Characteristics of the Community Pharmacy Professionals, Northwest Ethiopia, 2021 (N=210)
| Variables | Category | Frequency | Percent |
|---|---|---|---|
| Sex | Male | 110 | 52.4 |
| Female | 100 | 47.6 | |
| Age in (year): Mean (± SD) | 31.6±(8.2) | ||
| Settings participants involved | Gondar city | 146 | 69.5 |
| Rural towns | 64 | 30.5 | |
| Work experience | <1 year | 39 | 18.6 |
| 1–5 Years | 101 | 48.1 | |
| >5 years | 70 | 33.3 | |
| Qualification status | Pharmacy technician | 96 | 45.7 |
| Druggist | 73 | 34.8 | |
| Degree holder | 41 | 19.5 | |
| Monthly income (Birr) | 1500–2999 | 63 | 30 |
| 3000–4999 | 93 | 44.3 | |
| ≥ 5000 | 54 | 25.7 | |
| Type of CMROs respondents involved from | Drug store | 91 | 43.3 |
| Pharmacy | 119 | 56.7 | |
| Numbers of clients served per day | <50 | 115 | 54.8 |
| 50–100 | 82 | 39 | |
| >100 | 13 | 6.2 | |
| Working hours/day | ≤ 8 hours | 91 | 43.3 |
| >8 hours | 119 | 56.7 | |
| Previously trained on the CVDs prevention and management methods | Yes | 71 | 33.8 |
| No | 139 | 66.2 | |
| Knowing whether there is always better prevention and management of CVDs | Yes | 181 | 86.2 |
| No | 29 | 13.8 | |
Percentage Distribution of Community Pharmacy Professionals’ Perception on the Risks, Preventions and Treatment of Cardiovascular Disease
| Items to Assess Perceptions on the Risks, Preventions and Treatment of CVDs | Strongly Disagree (%) | Disagree (%) | Neutral (%) | Agree (%) | Strongly Agree (%) | Mean (±SD) |
|---|---|---|---|---|---|---|
| CVDs are common and is increasing in Ethiopia | 1 (0.5) | 7 (3.3) | 33(15.7) | 107 (51) | 62(29.5) | 4.06(±0.79) |
| CVDs relates largely to obesity and sedentary lifestyles | 0 | 9(4.3) | 21 (10) | 124 (59) | 56(26.7) | 4.08(±0.73) |
| More attentions must be given for lifestyles modification to general population | 2 (1) | 12(5.7) | 18 (8.6) | 115(54.8) | 63 (30) | 4.07(±0.84) |
| Patients with CVDs need to be early identified so that risk factors could be reduce | 0 | 9 (4.3) | 22(10.5) | 123(58.6) | 56(26.7) | 4.08(±0.74) |
| Weight loss program decrease CV risks | 2 (1) | 11 (5.2) | 14 6.7) | 116(55.2) | 67(31.4) | 4.12(±0.82) |
| Physical exercises could decrease CV risks | 3 (1.4) | 7(3.3) | 15 (7.1) | 111 (52.9) | 74(37.2) | 4.17(±0.81) |
| Prescribed medications could be important for the treatment of CVDs | 0 | 8(3.8) | 14 (6.7) | 114(54.3) | 74(35.2) | 4.21(±0.73) |
| Dietary modifications and herbals are used to decrease CV risks | 4(1.9) | 18(8.6) | 31(14.8) | 123(58.6) | 34(16.2) | 3.79(±0.88) |
| Alcohol restriction is used to prevent CVs risks | 2 (1) | 11 (5.2) | 9 (4.3) | 108(51.4) | 80(38.1) | 4.20(±0.83) |
| Early screening of patients is important to prevent severe outcomes | 1 (0.5) | 10 (4.8) | 20 (9.5) | 82 (39) | 97(46.2) | 4.26(±0.85) |
| Documenting drug refill history is important for CVDs evaluation | 1 (0.5) | 10 (4.8) | 32(15.2) | 105 (50) | 62(29.5) | 4.03(±0.83) |
Figure 1Mean involvement score of pharmacy professionals on counseling in the prevention and management of cardiovascular diseases in Northwestern Ethiopia from June to July 2021.
Percentage Distribution of Community Pharmacy Professionals’ Involvement Towards the Preventions and Treatments of CVDs
| Item Focused on Advising and Counseling Involvement of CPPs | Not Involved | Little Involved | Uncertain | Involved | Very Involved |
|---|---|---|---|---|---|
| Weight reduction by low calorie diet | 3 (1.4%) | 28 (13.3%) | 18 (8.6%) | 105 (50%) | 56(26.7%) |
| Physical activity promotion | 3 (1.4%) | 22 (10.5%) | 12 (5.7%) | 103(49.1%) | 70 (33.3%) |
| Alcohol consumption | 4 (1.9%) | 19 (9.1%) | 15 (7.1%) | 89 (42.4%) | 83 (39.5%) |
| Smoking cessation | 6 (2.9%) | 16 (7.6%) | 15(7.1%) | 90 (42.9%) | 83 (39.5%) |
| Salt restriction | 3 (1.4%) | 16 (7.6%) | 14 (6.7%) | 88 (41.9%) | 89 (42.4%) |
| Cholesterol-lowering diets consumption | 3 (1.4%) | 27 (12.9%) | 26(12.4%) | 119(56.7%) | 35 (16.7%) |
| Vegetables consumption | 3 (1.4%) | 32 (15.2%) | 23 (11%) | 102(48.6%) | 50 (23.8%) |
| Increasing soluble fiber consumption | 4 (1.9%) | 33 (15.7%) | 35(16.7%) | 107 (51%) | 31 (14.8%) |
| Cautions of OTC drugs or herbal products | 6 (2.9%) | 50 (23.8%) | 24(11.4%) | 95(45.2%) | 35 (16.7%) |
| Review medication refill history to adherence | 4 (1.9%) | 34 (16.2%) | 30(14.3%) | 102(48.6%) | 40 (19.0%) |
| Follow-ups on weight, BP and BG target goals | 2(1%) | 31 (14.8%) | 12 (5.7%) | 99 (47.1%) | 66 (31.4%) |
| Screen & measure BP, weight and glucose level (BG) | 7 (3.3%) | 46 (21.9%) | 20 (9.5%) | 81 (38.6%) | 56 (26.7%) |
| Dispensing home BP and BG monitoring apparatus | 23 (11%) | 61(29.0%) | 31(14.8%) | 57 (27.1%) | 38 (18.1%) |
| On prescription treatment of CVDs | 1 (0.5) | 32(15.2%) | 20(9.5%) | 109(51.9%) | 48 (22.9%) |
| Encourage patient treatment adherence | 1 (0.5) | 22 (10.5%) | 19 (9%) | 109(51.9%) | 59 (28.1%) |
| Monitor patients’ treatment response | 4 (1.9%) | 50(23.8%) | 33(15.7%) | 92 (43.8%) | 31 (14.8%) |
| Keeping medical records in the pharmacy | 11(5.2%) | 50(23.3%) | 29(13.8%) | 86 (41%) | 34 (16.2%) |
| Refer patients to physicians if required | 3 (1.4%) | 27 (12.9%) | 16 (7.6%) | 89 (42.4%) | 75 (35.7%) |
Abbreviations: OTC, over the counter; BP, blood pressure; BG, blood glucose.
Independent t-Test of Differences Among Categories of the Respondents in Overall Involvement Towards Prevention and Management of Cardiovascular Diseases
| Variables | Category | Overall Involvement Towards Prevention and Management of CVDs | ||
|---|---|---|---|---|
| Mean (±SD) | t | P-value | ||
| Sex | Male | 3.79(0.58) | 0.50 | 0.621 |
| Female | 3.75(0.60) | |||
| Setting participants involved | Gondar city | 3.90(0.55) | 5.21 | 0.000* |
| Rural towns | 3.47(0.56) | |||
| Type of CMROs respondents involved | Drug store | 3.74(0.58) | −0.71 | 0.480 |
| Pharmacy | 3.79(0.59) | |||
| Working hour per day | ≤8 hours | 3.69(0.62) | −1.75 | 0.083 |
| >8 hours | 3.83(0.55) | |||
| Previous training on CVDs | Yes | 3.82(0.59) | 0.91 | 0.367 |
| No | 3.74(0.58) | |||
| Do you know about the risks, the prevention and management of CVDs | Yes | 3.76(0.58) | −0.44 | 0.663 |
| No | 3.82(0.65) | |||
Note: * Denotes significantly associated at p-value <0.05.
Statistical Test (One-Way ANOVA) of Differences Among Categories of the Respondents in Overall Involvement Towards Prevention and Management of Cardiovascular Diseases
| Variables | Category | Overall Involvement Towards Prevention and Management of CVDs | ||
|---|---|---|---|---|
| Mean (±SD) | F | P-value | ||
| Work experience: Years | < 1 | 3.69(0.69) | 0.97 | 0.380 |
| 1–5 | 3.82(0.53) | |||
| > 5 | 3.73(0.59) | |||
| Qualification level | Pharmacy technician | 3.75(0.62) | 0.60 | 0.549 |
| Druggist | 3.83(0.56) | |||
| Graduate degree and above | 3.71(0.55) | |||
| Monthly income (birr) | 1500–2999 | 3.71(0.65) | 1.34 | 0.265 |
| 3000–4999 | 3.74(0.59) | |||
| ≥ 5000 | 3.88(0.48) | |||
| Clients served/day | < 50 | 3.77(0.58) | 3.72 | 0.026* |
| 50–100 | 3.83(0.58) | |||
| > 100 | 3.36(0.49) | |||
Note: * Indicates significantly associated at p-value < 0.05.
Figure 2Barriers of community pharmacy professionals to involve in the prevention and management of cardiovascular diseases in Northwestern Ethiopia from June to July 2021.