| Literature DB >> 25132879 |
Asrul A Shafie1, Mohamed A Hassali2.
Abstract
OBJECTIVE: The aim of this pilot study was to assess the value of the dispensing service of pharmacists from the general public's perspective using the contingent valuation technique in the State of Penang, Malaysia.Entities:
Keywords: Community Pharmacy Services; Fees; Malaysia; Pharmaceutical
Year: 2010 PMID: 25132879 PMCID: PMC4133065 DOI: 10.4321/s1886-36552010000200006
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Description of the nature and benefit of the pharmacists’ dispensing service.
| Assume that you are taking your prescription to a pharmacy for filling. At first, the pharmacist will screen your prescription to identify any potential medication errors, including incorrect medicine usage or possibility of the medicine in the prescription interacting with your condition or other medicine you are taking. |
| Research has found that three out of ten prescriptions have medication errors. It is important to identify and solve these problems because they will lead to adverse reactions, such as rash, diarrhoea or reduced effectiveness of the medicine. Other research by the Food and Drug Administration (FDA) found that there is at least one death per day and 1.3 million people are injured each year due to medication errors, including wrong medicine and improper dose. |
| Here, the role of the pharmacist is to assist you in the prevention of the undesired outcomes by correcting any medication errors through professional screening, counselling and evaluation. The Jonna Briggs Institute in Australia has found that community pharmacists can reduce the risk of medication errors by 20%. |
Factors associated with the participants’ willingness to pay, N=100.
| Variable | n (%) | Total | P | |
|---|---|---|---|---|
| Not Willing to pay | Willing to pay | |||
| Income | ||||
| 1. No income | 16 (41.0) | 23 (59.0) | 39 | 0.037a* |
| 2. < MYR1000 | 3 (16.7) | 15 (83.3) | 18 | |
| 3. MYR1000-1999 | 11 (47.8) | 12 (52.2) | 23 | |
| 4. > MYR2000 | 3 (15.0) | 17 (85.0) | 20 | |
| Ethnicity | ||||
| 1. Malay | 13 (31.7) | 28 (68.3) | 41 | |
| 2. Chinese | 13 (32.5) | 27 (67.5) | 40 | 0.922b |
| 3. Indian | 7 (36.8) | 12 (68.2) | 19 | |
| Education | ||||
| 1. No formal education | 1 (100.0) | - | 1 | |
| 2. Primary education | 2 (25.0) | 6 (75.0) | 8 | 0.286a |
| 3. Secondary education | 15 (40.5) | 22 (59.5) | 37 | |
| 4. Tertiary education | 15 (27.8) | 39 (72.2) | 54 | |
| Occupation | ||||
| 1. High and medium level non-manual worker | - | 8 (100.0) | 8 | 0.131a |
| 2. Low level non-manual worker | 5 (38.5) | 8 (61.5) | 13 | |
| 3. Manual worker | 15 (31.3) | 33 (68.8) | 48 | |
| 4. Unemployed | 13 (41.9) | 18 (58.1) | 31 | |
| Age | ||||
| 1. 18 - 35 | 16 (28.1) | 41 (71.9) | 57 | |
| 2. 36 - 50 | 10 (35.7) | 18 (64.3) | 28 | 0.370b |
| 3. > 50 | 7 (46.7) | 8 (53.3) | 15 | |
a = Fisher’s exact test, b = Chi-square test
Factors associated with the amount the participants were willing to pay for a pharmacist’s dispensing service, N = 67.
| Variable | n (%) | Willing to pay (MYR) | P | ||
|---|---|---|---|---|---|
| Min | Max | Mean (SD, Med) | |||
| Gender | |||||
| 1. Male | 36 (53.7) | 4 | 50 | 13.06 (7.95, 10) | 0.759a |
| 2. Female | 31 (46.3) | 2 | 30 | 12.97 (8.14, 10) | |
| Ethnicity | |||||
| 1. Malay | 28 (41.8) | 6 | 22 | 12.57 (4.21, 10) | |
| 2. Chinese | 27 (40.3) | 2 | 50 | 14.15 (10.94, 10) | 0.553b |
| 3. Indian | 12 (17.9) | 4 | 30 | 11.50 (7.04, 10) | |
| Age | |||||
| 1. 18-35 | 41 (61.3) | 2 | 30 | 12.20 (6.35, 10) | |
| 2. 36-50 | 18 (26.9) | 4 | 30 | 11.89 (7.21, 10) | 0.099b |
| 3. > 50 | 8 (11.9) | 4 | 50 | 19.75 (13.58, 17) | |
| Education | |||||
| 1. No formal education | - | - | - | - | |
| 2. Primary education | 6 (9.0) | 4 | 24 | 11.00 (7.55, 9) | 0.178b |
| 3. Secondary education | 22 (32.8) | 4 | 30 | 15.36 (9.33, 14) | |
| 4. Tertiary education | 39 (58.2) | 2 | 50 | 12.00 (7.09, 10) | |
| Occupation | |||||
| 1. High and medium level non-manual worker | 8 (11.9) | 4 | 30 | 17.00 (10.14, 17) | |
| 2. Low level non-manual worker | 8 (11.9) | 8 | 18 | 11.25 (3.69, 10) | 0.139b |
| 3. Manual worker | 33 (49.3) | 2 | 30 | 13.27 (6.36, 12) | |
| 4. Unemployed | 18 (26.9) | 2 | 50 | 11.56 (10.57, 10) | |
| Income | |||||
| 1. No income | 23 (34.3) | 2 | 30 | 10.87 (5.68, 10) | |
| 2. < MYR1000 | 15 (22.4) | 2 | 50 | 15.33(12.16, 12) | 0.172b |
| 3. MYR1000-1999 | 12 (17.9) | 4 | 16 | 10.67 (3.75, 10) | |
| 4. > MYR2000 | 17 (25.4) | 4 | 30 | 15.53 (7.53, 16) | |
| First Illness Reference | |||||
| 1. Doctor | 29 (43.28) | 2 | 30 | 14.07 (6.79, 12) | 0.954b |
| 2. Pharmacist | 25 (37.31)) | 4 | 30 | 10.64 (5.56, 10) | |
| 3. Family members | 8 (11.94) | 4 | 30 | 13.75 (8.78, 10) | |
| 4. Friends | 3 (4.48) | 8 | 50 | 22.67 (23.69, 10) | |
| 5. Others | 2 (2.99) | 6 | 14 | 10.00 (5.66, 10) | |
| Pharmacy visit | |||||
| 1. Never | 23 (34.33)) | 2 | 50 | 13.39 (9.99, 10) | |
| 2. 1-3 | 34 (50.75) | 4 | 30 | 12.24 (6.34, 10) | 0.301b |
| 3. 4-6 | 7 (10.45) | 2 | 24 | 12.29 (7.34, 12) | |
| 4. >6 | 3 (4.48) | 14 | 30 | 20.67 (8.33, 18) | |
| Physician visit | |||||
| 1. Never | 12 (17.91) | 6 | 20 | 10.33 (2.81, 10) | |
| 2. 1-3 | 35 (52.23) | 4 | 30 | 12.86 (6.46, 10) | 0.493b |
| 3. 4-6 | 14 (20.90) | 2 | 30 | 13.00 (9.15, 10) | |
| 4. >6 | 6 (8.96) | 4 | 50 | 19.33 (15.98, 17) | |
a = Mann-Whitney, b = Kruskal-Wallis