| Literature DB >> 30341138 |
Kate MacKrill1, Keith J Petrie1.
Abstract
OBJECTIVE: Following a switch from either a generic or branded antidepressant (venlafaxine) to a new generic, we investigated the factors associated with a preference for branded medicines, side effects reported following switching and efficacy ratings of the new generic drug.Entities:
Keywords: drug switching; generic medicine; nocebo; perceptions; side effects
Mesh:
Substances:
Year: 2018 PMID: 30341138 PMCID: PMC6196872 DOI: 10.1136/bmjopen-2018-023667
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Demographic characteristics for the population of venlafaxine users and comparison between branded and generic switch study samples
| Variable | Population | Brand sample | Generic sample | t/χ2 | P values |
| n (%) | n (%) | n (%) | |||
| Age (mean, SD) | 45.0 (13.16) | 44.3 (14.18) | 0.38 | 0.703 | |
| Age group | 5.44 | 0.364 | |||
| >19 years | 1155 (2.3) | 0 | 1 (1.0) | ||
| 20–29 years | 7309 (14.9) | 27 (13.2) | 20 (19.0) | ||
| 30–39 years | 8202 (16.7) | 50 (24.4) | 20 (19.0) | ||
| 40–49 years | 10 899 (22.2) | 50 (24.4) | 21 (20.0) | ||
| 50–69 years | 16 677 (33.9) | 51 (24.9) | 26 (24.8) | ||
| <70 years | 4933 (10.0) | 27 (13.2) | 17 (16.2) | ||
| Gender | 0.70 | 0.401 | |||
| Male | 17 478 (35.5) | 42 (20.7) | 17 (16.7) | ||
| Female | 31 695 (64.5) | 161 (79.3) | 85 (83.3) | ||
| Ethnicity | 0.22 | 0.896 | |||
| European | 42 944 (87.3) | 184 (90.6) | 91 (89.2) | ||
| Māori | 4210 (8.6) | 13 (6.4) | 8 (7.8) | ||
| Other | 2021 (4.1) | 6 (3.0) | 3 (2.9) | ||
| Education level | 3.26 | 0.196 | |||
| Secondary school or below | 44 (22.0) | 33 (31.4) | |||
| Diploma/trade certificate | 68 (34.0) | 32 (30.5) | |||
| University degree | 88 (44.0) | 40 (38.1) | |||
| Relationship status | 5.83 | 0.120 | |||
| Married, civil union, cohabiting | 124 (61.7) | 53 (51.5) | |||
| Single | 48 (23.9) | 32 (31.1) | |||
| Divorced, separated | 25 (12.4) | 18 (17.5) | |||
| Widow, widower | 4 (2.0) | 0 |
t/χ2 analyses were conducted between the brand sample and generic sample.
Population data were obtained from PHARMAC.
Figure 1Comparison of the people on branded venlafaxine and those on generic venlafaxine in their beliefs about the efficacy, safety and side effects of branded and generic medicines. *P<0.05.
Factors associated with a preference for branded medicines
| Variable | B | Wald | OR | P values | 95% CI for OR |
| Age | 0.04 | 10.66 | 1.04 | 0.001 | 1.01 to 1.05 |
| Gender | −0.16 | 0.21 | 0.86 | 0.647 | 0.44 to 1.67 |
| Education level | −0.23 | 0.68 | 0.80 | 0.411 | 0.46 to 1.37 |
| Ethnicity | 0.33 | 0.72 | 1.40 | 0.396 | 0.65 to 3.01 |
| Preswitch medication type | 0.71 | 5.55 | 2.02 | 0.019 | 1.13 to 3.64 |
| Time on previous brand | 0.00 | 0.00 | 1.00 | 0.961 | 0.86 to 1.18 |
| Perceived efficacy of old brand | 0.11 | 2.97 | 1.11 | 0.085 | 0.99 to 1.25 |
| Perceived efficacy of new generic | 0.00 | 0.01 | 1.00 | 0.940 | 0.92 to 1.10 |
| Perceived sensitivity to medicines | 0.11 | 14.17 | 1.12 | <0.001 | 1.06 to 1.19 |
| Trust in pharmaceutical agencies | −0.02 | 1.60 | 0.98 | 0.206 | 0.95 to 1.01 |
| Look up medicine information on internet | 0.03 | 0.34 | 1.03 | 0.560 | 0.93 to 1.14 |
Factors associated with the efficacy ratings of the new generic medicine for brand switchers and generic switchers
| Variable | Brand switchers | Generic switchers | ||||||
| B | β | P values | 95% CI for B | B | β | P values | 95% CI for B | |
| Age | −0.01 | −0.03 | 0.656 | −0.04 to 0.03 | 0.02 | 0.07 | 0.457 | −0.03 to 0.06 |
| Gender | 0.53 | 0.07 | 0.304 | −0.48 to 1.54 | −0.98 | −0.12 | 0.187 | −2.44 to 0.48 |
| Education level | −0.78 | −0.13 | 0.079 | −1.66 to 0.09 | −0.58 | −0.09 | 0.339 | −1.77 to 0.62 |
| Ethnicity | −1.16 | −0.13 | 0.086 | −2.49 to 0.17 | 0.03 | 0.00 | 0.966 | −1.44 to 1.51 |
| Time on previous brand | −0.16 | −0.09 | 0.245 | −0.42 to 0.11 | −0.07 | −0.04 | 0.677 | −0.38 to 0.25 |
| Perceived efficacy of old brand | 0.16 | 0.13 | 0.083 | −0.02 to 0.34 | 0.02 | −0.01 | 0.891 | −0.25 to 0.29 |
| Perceived sensitivity to medicines | 0.02 | 0.03 | 0.679 | −0.07 to 0.10 | −0.03 | −0.04 | 0.682 | −0.15 to 0.10 |
| Trust in pharmaceutical agencies | 0.09 | 0.26 | <0.001 | 0.04 to 0.13 | 0.18 | 0.45 | <0.001 | 0.11 to 0.24 |
| Look up medicine information on internet | −0.02 | −0.01 | 0.854 | −0.18 to 0.15 | −0.01 | −0.01 | 0.959 | −0.22 to 0.21 |
| Number of side effects | −0.17 | −0.24 | 0.002 | −0.28 to –0.07 | −0.27 | −0.33 | <0.001 | −0.42 to –0.13 |
Factors associated with side effect reporting for brand switchers and generic switchers
| Variable | Brand switchers | Generic switchers | ||||||
| B | β | P values | 95% CI for B | B | β | P values | 95% CI for B | |
| Age | 0.06 | 0.18 | 0.017 | 0.01 to 0.10 | 0.01 | 0.04 | 0.671 | −0.05 to 0.07 |
| Gender | 1.41 | 0.14 | 0.047 | 0.02 to 2.79 | −0.96 | −0.10 | 0.347 | −2.99 to 1.06 |
| Education level | −1.61 | −0.20 | 0.008 | −2.81 to –0.42 | −1.04 | −0.13 | 0.210 | −2.68 to 0.60 |
| Ethnicity | −0.39 | −0.03 | 0.680 | −2.23 to 1.46 | −1.23 | −0.12 | 0.229 | −3.24 to 0.79 |
| Time on previous brand | −0.50 | −0.20 | 0.007 | −0.86 to –0.14 | 0.07 | 0.03 | 0.766 | −0.37 to 0.50 |
| Perceived efficacy of old brand | 0.21 | 0.12 | 0.102 | −0.04 to 0.46 | 0.13 | 0.08 | 0.461 | −0.24 to 0.51 |
| Perceived efficacy of new generic | −0.33 | −0.24 | 0.002 | −0.53 to –0.13 | −0.52 | −0.42 | <0.001 | −0.79 to –0.24 |
| Perceived sensitivity to medicines | −0.04 | −0.05 | 0.486 | −0.16 to 0.08 | 0.03 | 0.04 | 0.718 | −0.14 to 0.20 |
| Trust in pharmaceutical agencies | −0.01 | −0.02 | 0.760 | −0.07 to 0.06 | 0.06 | 0.13 | 0.245 | −0.04 to 0.17 |
| Look up medicine information on internet | −0.05 | −0.03 | 0.664 | −0.28 to 0.18 | 0.16 | 0.12 | 0.282 | −0.13 to 0.46 |