| Literature DB >> 34285498 |
Kazunari Sugimitsu1,2, Yoshinobu Manome2.
Abstract
BACKGROUND: The recent trend of pharmaceutical companies commercializing new objects as new drugs based on the findings of academic medical researchers, commonly categorizing them as "academic drug discovery" is increasingly gaining popularity in the pharmaceutical industry. Studies state that academic researchers based in universities have lower motivation to apply for patents. However, none of the studies evaluated the existence and extent of the "motivation for patent" in academic researchers, being lower than that of pharmaceutical companies. This study assesses two hypotheses; H1: academic medical researchers are less likely to believe that the patent system is necessary for pharmaceuticals, and thus have diminished interest in the commercialization of their research findings when compared to those in the pharmaceutical industry, H2: apprehension of the raison d'être of the patent system affects positive impressions on patents among academic medical researchers.Entities:
Keywords: academic drug discovery; drug development; drug patent; industry university cooperation; intellectual property
Year: 2021 PMID: 34285498 PMCID: PMC8286079 DOI: 10.2147/JMDH.S321834
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Figure 16-point Likert scale used for Q1, Q2, and Q3, ranging from option A to option B.
Demographic Characteristics
| Variables | Academic Medical Researchers | Pharmaceutical Company Personnel | IP Researchers | |
|---|---|---|---|---|
| Title | Professor or Associate Professor | 20(26.7%) | – | 36(67.9%) |
| Assistant Professor or instructor | 35(46.6%) | – | 7(13.2%) | |
| Executive | – | 2(3.8%) | – | |
| Division chief | – | 15(28.3%) | – | |
| Section chief | – | 29(54.7%) | – | |
| Others | 20(26.7%) | 7(13.2%) | 10(18.9%) | |
| Education | Medical school | 55(73.3%) | 1(1.9%) | – |
| School of medicine | 20(26.7%) | 23 (43.4%) | – | |
| Chemistry | – | 10 (18.9%) | – | |
| Engineering | – | 5(9.4%) | 14(26.4%) | |
| Agriculture | – | 4(7.5%) | 3(5.7%) | |
| Biology | – | 3(5.7%) | – | |
| Science | – | 9(17.0%) | ||
| Law | – | – | 17(32.1%) | |
| Economics | – | – | 4(7.5%) | |
| Others | – | 7(13.2%) | 6(11.3%) | |
| Clinical experience | No | 44(58.6%) | – | – |
| Yes (past) | 7(9.3%) | – | – | |
| Yes (present) | 24(32%) | – | – | |
| Research field | Basic medicine | 29(38.7%) | – | – |
| Clinical medicine | 20(26.7%) | – | – | |
| Both basic and clinical medicine | 25(33.3%) | – | – |
Figure 2Bar graph of mean scores.
Main Effect of Attributes
| F-value | df1 | df2 | p -value |
|---|---|---|---|
| 21.655 | 2 | 178 | 0.000** |
Note: **P-value is <0.01.
Multiple Comparisons Adjusted with Holm’s Method
| Pair | Main Effect p-value.000** | |||
|---|---|---|---|---|
| t-value | Df | p-value | Adjusted p-value | |
| med–corp | −5.657 | 178 | 0.000 | 0.000** |
| med–ipr | −5.403 | 178 | 0.000 | 0.000** |
| corp–ipr | 0.234 | 178 | 0.815 | n.s. |
Note: **P-value is <0.01. Abbreviations: med, academic medical researchers; corp, pharmaceutical company personnel; ipr, IP researchers.
Figure 3The hypothesized conceptual model with standardized path coefficients for H2.
Figure 4Scree plot.
Factor Analysis
| Item | Factor |
|---|---|
| Questions (abbreviated) | |
| Q1: Patents are necessary. (“Necessity”) | 0.948 |
| Q2: Filing should be encouraged (“Evaluation”) | 0.727 |
| Q3: Patents should be obtained. (“Future”) | 0.720 |