Pharmacists’ Perceptions of 3D Printing and Bioprinting as Part of Personalized Pharmacy: A Cross-Sectional Pilot Study in Bulgaria
Abstract
:1. Introduction
1.1. 3D Printing and Bioprinting in Pharmaceutical Practice
1.2. Applications of 3D Printing in Personalized Pharmacy
- Pharmacogenomics, which explores how genetic variations affect individual responses to drugs;
- Biomarkers, measurable indicators that assist in selecting the most appropriate therapeutic strategies;
- 3D-printed pharmaceuticals, which allow for the development of individualized dosages and drug delivery forms tailored to specific patient profiles;
- Data analytics and artificial intelligence, used to predict the most effective therapeutic interventions for individual patients [16].
1.3. Pharmacists’ Role in Personalized Pharmacy
1.4. Barriers to Implementation and Training Needs. Regulatory Challenges
2. Materials and Methods
2.1. Study Design and Participants
2.2. Questionnaire Development and Structure
2.3. Data Collection
2.4. Ethical Approval
2.5. Statistical Analysis
3. Results
3.1. Demographic Characteristics
3.2. Awareness and Knowledge of 3D (Bio)Printing
3.3. Attitudes and Perceptions of Personalized Medicine and Personalized Pharmacy
3.4. Disadvantages of 3D (Bio)Printing
3.5. Attitudes Towards Regulation and Implementation of 3D Bioprinting in the Pharmaceutical Sector
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristic | n | % |
---|---|---|
Gender | ||
Women | 243 | 68.8% |
Men | 110 | 31.2% |
Age (years) | ||
Mean (SD) | 38.37 (10.58) | |
Age groups | ||
Up to 25 | 54 | 15.3% |
26–35 | 88 | 24.9% |
36–45 | 139 | 39.4% |
Over 46 | 72 | 20.4% |
Years of Experience | ||
Less than 4 years | 76 | 21.5% |
5–9 years | 47 | 13.3% |
10–14 years | 81 | 22.9% |
15–19 years | 69 | 19.5% |
More than 20 years | 80 | 22.7% |
Mean (SD) | 12.46 (8.79) |
Statement | I Agree n (%) | I Cannot Decide n (%) | I Disagree n (%) |
---|---|---|---|
The patient’s genetic profile can influence their response to personalized drug therapy. | 248 (70.3%) | 67 (19%) | 38 (10.8%) |
Personalized medicine will help overcome differences in the patient’s genetic and metabolic profile. | 261 (73.9%) | 31 (8.8%) | 61 (17.3%) |
Personalization of dosage and administration form will improve patient adherence to treatment. | 275 (77.9%) | 15 (4.2%) | 63 (17.8%) |
The safety and efficacy of drug therapy can be improved by using 3D (bio)printing in the preparation of personalized drugs. | 295 (83.6%) | 36 (10.2%) | 22 (6.2%) |
3D (bio)printing will allow the preparation of personalized drugs for all age groups. | 293 (83%) | 37 (10.5%) | 23 (6.5%) |
3D (bio)printing will support the production of drugs for rare diseases and reduce drug waste. | 279 (79%) | 15 (4.2%) | 59 (16.7%) |
3D (bio)printing has a place in the pharmaceutical manufacturing activity in the pharmacy (preparation of extemporaneous forms). | 237 (67.1%) | 56 (15.9%) | 60 (17%) |
Statement | I Agree n (%) | I Cannot Decide n (%) | I Disagree n (%) |
---|---|---|---|
The application of 3D (bio)printing in personalized medicine should be exempt from legal regulation | 36 (10.2%) | 11 (3.1%) | 306 (86.7%) |
The possession and use of 3D (bio)printers should be regulated and controlled by an official institution | 328 (92.9%) | 5 (1.4%) | 20 (5.7%) |
Application of (bio)printing when conventional methods have been exhausted, despite the risk of irreversible consequences for the patient | 180 (51%) | 109 (30.9%) | 64 (18.1%) |
Potential risks would turn the patient into a “test guinea pig” | 142 (40.2%) | 98 (27.8%) | 113 (32%) |
Category | n (%) |
---|---|
Right to use (bio)printers | |
Research centers | 318 (90.1%) |
Health organizations (hospitals, hospital pharmacies, etc.) | 222 (62.9%) |
Pharmaceutical companies and pharmacies | 174 (49.3%) |
Medical and dental centers | 108 (30.6%) |
Specialized medical care clinics | 65 (18.4%) |
Independent medical and technical laboratories | 49 (13.9%) |
Cannot assess | 13 (3.7%) |
Impact on pharmaceutical manufacturing activity | |
Will have a negative effect | 16 (4.5%) |
Will have a positive effect | 208 (58.9%) |
Cannot assess | 129 (36.5%) |
Readiness for additional training/courses | |
Yes | 316 (89.5%) |
No | 22 (6.2%) |
Cannot assess | 15 (4.2%) |
Preferred forms of training | |
Live demonstrations | 256 (72.5%) |
Seminars | 245 (69.4%) |
Lectures | 199 (56.4%) |
Workshops | 164 (46.5%) |
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Mihaylova, A.; Yaneva, A.; Shopova, D.; Kasnakova, P.; Harizanova, S.; Parahuleva, N.; Etova, R.; Raykova, E.; Semerdzhieva, M.; Bakova, D. Pharmacists’ Perceptions of 3D Printing and Bioprinting as Part of Personalized Pharmacy: A Cross-Sectional Pilot Study in Bulgaria. Pharmacy 2025, 13, 88. https://doi.org/10.3390/pharmacy13030088
Mihaylova A, Yaneva A, Shopova D, Kasnakova P, Harizanova S, Parahuleva N, Etova R, Raykova E, Semerdzhieva M, Bakova D. Pharmacists’ Perceptions of 3D Printing and Bioprinting as Part of Personalized Pharmacy: A Cross-Sectional Pilot Study in Bulgaria. Pharmacy. 2025; 13(3):88. https://doi.org/10.3390/pharmacy13030088
Chicago/Turabian StyleMihaylova, Anna, Antoniya Yaneva, Dobromira Shopova, Petya Kasnakova, Stanislava Harizanova, Nikoleta Parahuleva, Rumyana Etova, Ekaterina Raykova, Mariya Semerdzhieva, and Desislava Bakova. 2025. "Pharmacists’ Perceptions of 3D Printing and Bioprinting as Part of Personalized Pharmacy: A Cross-Sectional Pilot Study in Bulgaria" Pharmacy 13, no. 3: 88. https://doi.org/10.3390/pharmacy13030088
APA StyleMihaylova, A., Yaneva, A., Shopova, D., Kasnakova, P., Harizanova, S., Parahuleva, N., Etova, R., Raykova, E., Semerdzhieva, M., & Bakova, D. (2025). Pharmacists’ Perceptions of 3D Printing and Bioprinting as Part of Personalized Pharmacy: A Cross-Sectional Pilot Study in Bulgaria. Pharmacy, 13(3), 88. https://doi.org/10.3390/pharmacy13030088