| Literature DB >> 36011946 |
Adriano Friganović1,2, Wioletta Mędrzycka-Dąbrowska3, Sabina Krupa4, Ber Oomen5, Nico Decock6, Alessandro Stievano7.
Abstract
INTRODUCTION: The increasing availability of biosimilars can increase patient access to these drugs and reduce the economic burden. Nurses play a key role in the education, administration, pharmacovigilance and management of the side effects of biosimilars. The aim of this study was to assess the knowledge and attitudes of nurses towards biosimilar drugs in different countries.Entities:
Keywords: EBCNP; biosimilars; health care; interchangeable products; knowledge; pharmacists
Mesh:
Substances:
Year: 2022 PMID: 36011946 PMCID: PMC9408045 DOI: 10.3390/ijerph191610311
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Sociodemographic factors (N = 866).
| N | % | ||
|---|---|---|---|
|
| Male | 288 | (33.3%) |
| Female | 578 | (66.7%) | |
|
| 20–30 years old | 206 | (23.8%) |
| 31–40 years old | 201 | (23.2%) | |
| 41–50 years old | 307 | (35.5%) | |
| 51–60 years old | 80 | (9.2%) | |
| Over 60 years old | 72 | (8.3%) | |
|
| Croatia | 205 | (23.7%) |
| Malta | 108 | (12.5%) | |
| Italy | 89 | (10.3%) | |
| United Kingdom | 88 | (10.2%) | |
| Bosnia and Herzegovina | 73 | (8.4%) | |
| Poland | 70 | (8.1%) | |
| Finland | 42 | (4.8%) | |
| Pakistan | 39 | (4.5%) | |
| North Macedonia | 73 | (8.4%) | |
| Belgium | 38 | (4.4%) | |
| Netherlands | 41 | (4.7%) | |
|
| ≤5 yrs | 150 | (17.3%) |
| 6–10 yrs | 100 | (11.5%) | |
| 11–15 yrs | 195 | (22.5%) | |
| 16–20 yrs | 61 | (7.0%) | |
| 21–25 yrs | 141 | (16.3%) | |
| 26–30 yrs | 73 | (8.4%) | |
| 31+ yrs | 146 | (16.9%) | |
|
| Master’s degree studies | 573 | (66.2%) |
| Bachelor’s degree studies | 179 | (20.7%) | |
| Doctorate | 114 | (13.2%) | |
|
| No Specialization | 299 | (34.5%) |
| Surgical Nursing | 217 | (25.1) | |
| Infection Control | 114 | (13.2%) | |
| Anaesthesiology and Intensive Care | 73 | (8.4%) | |
| Neurology | 39 | (4.5%) | |
| Wound Healing | 38 | (4.4%) | |
| Psychiatry | 37 | (4.3%) | |
| Clinical Nutrition | 28 | (3.2%) | |
| Oncology | 21 | (2.4%) | |
|
| Anaesthesiology and Intensive Care | 224 | (27%) |
| Oncology | 107 | (12.9%) | |
| No Job | 70 | (8.5%) | |
| Emergency | 60 | (7.2%) | |
| Surgical Nursing | 56 | (6.8%) | |
| Infection Control | 39 | (4.5%) | |
| Neurology | 39 | (4.7%) | |
| Trauma Center | 39 | (4.7%) | |
| eHospital | 39 | (4.7%) | |
| Dermatology | 38 | (4.6%) | |
| Psychiatry | 37 | (4.5%) | |
| Neonatology | 34 | (4.1%) | |
| Palliative Care | 34 | (4.1%) | |
| Clinical Nutrition | 28 | (3.4%) | |
| Charge Nurse | 22 | (2.7%) | |
| M | SD ** = 11.01 | ||
* M = mean; ** SD = standard deviation.
The level of knowledge about biosimilar drugs vs. sociodemographic data.
|
| Level on Biosimilar Knowledge | Statistic | ||||
|---|---|---|---|---|---|---|
| N | Mean | SD | ||||
|
| Female | 578 | 1.31 | 0.57 | 7.98 | 0.000 a |
| Male | 288 | 1.74 | 0.82 | |||
|
| 20–30 | 206 | 1.35 | 0.5 | 57.19 | 0.000 b |
| 31–40 | 201 | 1.46 | 0.51 | |||
| 41–50 | 307 | 1.51 | 0.82 | |||
| 51–60 | 80 | 1.03 | 0.24 | |||
| >60 | 72 | 1.95 | 0.99 | |||
|
| Belgium | 38 | 1.02 | 0.16 | 525.94 | 0.000 b |
| Bosnia and Herzegovina | 73 | 1.99 | 1 | |||
| Croatia | 205 | 1.45 | 0.49 | |||
| United Kingdom | 88 | 1.01 | 0.1 | |||
| Finland | 42 | 1 | 0 | |||
| Italy | 89 | 1.03 | 0.18 | |||
| Malta | 108 | 1 | 0 | |||
| Netherlands | 40 | 2.89 | 0 | |||
| North Macedonia | 73 | 2.46 | 0.5 | |||
| Pakistan | 39 | 2 | 0 | |||
| Poland | 70 | 1.12 | 0.33 | |||
|
| Master’s degree studies | 179 | 2.19 | 0.72 | 274.69 | 0.000 b |
| Bachelor’s degree studies | 573 | 1.31 | 0.58 | |||
| Doctorate | 114 | 1 | 0 | |||
|
| No specialization | 299 | 1.66 | 0.67 | 338.06 | 0.000 b |
| Anesthesiology and intensive care | 73 | 1 | 0 | |||
| Surgical nursing | 217 | 1.57 | 0.75 | |||
| Infection control | 114 | 1 | 0 | |||
| Clinical nutrition | 28 | 1 | 0 | |||
| Psychiatry | 37 | 3 | 0 | |||
| Wound healing | 38 | 1 | 0 | |||
| Neurology | 39 | 1 | 0 | |||
| Oncology | 21 | 2 | 0 | |||
|
| No job | 33 | 1 | 0 | 474.77 | 0.000 b |
| Anesthesiology and intensive care | 224 | 1.62 | 0.73 | |||
| Surgical nursing | 56 | 1.57 | 0.68 | |||
| Emergency | 60 | 1 | 0 | |||
| Oncology | 107 | 1.69 | 0.86 | |||
| Infection control | 39 | 1 | 0 | |||
| Psychiatric ward | 37 | 3 | 0 | |||
| Charge nurse | 22 | 2 | 0 | |||
| Clinical nutrition | 28 | 1 | 0 | |||
| Dermatology | 38 | 1 | 0 | |||
| eHospital | 39 | 2 | 0 | |||
| Neonatology | 34 | 3 | 0 | |||
| Neurology | 39 | 1 | 0 | |||
| Palliative care | 34 | 1 | 0 | |||
| Trauma center | 39 | 1 | 0 | |||
| Years of work in the profession | rHO | |||||
| 0.18 | 0.000 c | |||||
SD = standard deviation; * a = Mann–Whitney’s test; b = Kruskal–Wallis test; c = Spearman’s correlation test; p—level of significance; rHO—Spearman’s rank correlation.
Attitude to biosimilars vs. sociodemographic data.
| Variables | Attitude to Biosimilars | Statistic | ||||
|---|---|---|---|---|---|---|
| I Think They Are the Future | I Have No Opinion about It | |||||
|
| Female | 308 | 270 | 6.63 | 0.010 a | |
| Male | 180 | 108 | ||||
|
| 20–30 | 144 | 62 | 114.7 | 0.000 a | |
| 31–40 | 96 | 105 | ||||
| 41–50 | 204 | 103 | ||||
| 51–60 | 41 | 39 | ||||
| >60 | 3 | 69 | ||||
|
| Belgium | 4 | 34 | 367.25 | 0.000 a | |
| Bosnia and Herzegovina | 70 | 3 | ||||
| Croatia | 125 | 80 | ||||
| United Kingdom | 9 | 79 | ||||
| Finland | 38 | 4 | ||||
| Italy | 76 | 13 | ||||
| Malta | 40 | 68 | ||||
| Netherlands | 2 | 35 | ||||
| North Macedonia | 70 | 3 | ||||
| Pakistan | 37 | 2 | ||||
| Poland | 15 | 55 | ||||
|
| Master’s degree studies | 172 | 7 | 164.74 | 0.000 a | |
| Bachelor’s degree studies | 242 | 331 | ||||
| Doctorate | 74 | 40 | ||||
|
| No specialization | 204 | 95 | 176.53 | 0.000 a | |
| Anesthesiology and intensive care | 37 | 36 | ||||
| Surgical nursing | 107 | 110 | ||||
| Infection control | 42 | 72 | ||||
| Clinical nutrition | 1 | 27 | ||||
| Psychiatry | 2 | 35 | ||||
| Wound healing | 37 | 1 | ||||
| Neurology | 38 | 1 | ||||
| Oncology | 20 | 1 | ||||
|
| No job | 32 | 1 | 335.63 | 0.000 a | |
| Anesthesiology and IC | 112 | 112 | ||||
| Surgical nursing | 22 | 34 | ||||
| Emergency | 37 | 23 | ||||
| Oncology | 41 | 66 | ||||
| Infection control | 2 | 37 | ||||
| Psychiatric ward | 2 | 35 | ||||
| Charge nurse | 21 | 1 | ||||
| Clinical nutrition | 1 | 27 | ||||
| Dermatology | 37 | 1 | ||||
| eHospital | 37 | 2 | ||||
| Neonatology | 34 | 0 | ||||
| Neurology | 38 | 1 | ||||
| Palliative care | 1 | 33 | ||||
| Trauma center | 37 | 2 | ||||
| Years of work in the profession | N | * M | ** SD | Statistic | ||
| 488 | 16.71 | 11.73 | 4.23 a | 0.000 b | ||
| 377 | 20.14 | 11.89 | ||||
* M = mean; ** SD= standard deviation; a = chi square test; b = Student’s t test; p—level of significance.