Analysis of the Professional Aspects of Medical Drugs Industry in the Republic of Serbia in Times of COVID-19 Pandemic
Abstract
:1. Introduction
2. Method
- Step 1. Defining the problem and research objective—a literature review was conducted to verify research models and key variables to be included in the research.
- Step 2. Defining the statement and designing the survey; initial items were pre-tested.
- Step 3. Collect the data and generate the final set of variables.
- Step 4. Statistical analysis—the collected data were tested for reliability and dimensionality (Cronbach’s alpha). Some suggestions were made about items to exclude/include and the scale was adapted.
- Step 5. Prepare the final scale and the data were collected, the final sample was obtained.
- Step 6. Final statistical analysis (Chi square and binary logistic regression).
- Step 7. Discussion and interpretation of results.
3. Results and Discussion
Binary Logistic Regression Models
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Chebli, A.; Ben Said, F. The Impact of COVID-19 on Tourist Consumption Behaviour: A Perspective Article. J. Tour. Manag. Res. 2020, 7, 196–207. [Google Scholar] [CrossRef]
- Sarkodie, S.A.; Owusu, P.A. Global assessment of environment, health and economic impact of the novel coronavirus (COVID-19). Environ. Dev. Sustain. 2021, 23, 5005–5015. [Google Scholar] [CrossRef] [PubMed]
- Nicola, M.; Alsafi, Z.; Sohrabi, C.; Kerwan, A.; Al-Jabir, A.; Iosifidis, C.; Agha, M.; Agha, R. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. Int. J. Surg. 2020, 78, 185–193. [Google Scholar] [CrossRef] [PubMed]
- Watson, K.E.; Schindel, T.J.; Barsoum, M.E.; Kung, J.Y. COVID the Catalyst for Evolving Professional Role Identity? A Scoping Review of Global Pharmacists’ Roles and Services as a Response to the COVID-19 Pandemic. Pharmacy 2021, 9, 99. [Google Scholar] [CrossRef] [PubMed]
- Quak, S.; Heilbron, J.; Meijer, J. Ranking, coordination, and global governance: The case of the Access to Medicine Index. Bus. Politics 2019, 21, 172–204. [Google Scholar] [CrossRef]
- Mittal, S.; Sharma, D. The Impact of COVID-19 on Stock Returns of the Indian Healthcare and Pharmaceutical Sector. Australas. Account. Bus. Financ. J. 2021, 15, 5–21. [Google Scholar] [CrossRef]
- Kaur, M.; Goyal, P.; Goyal, M. Individual, interpersonal and economic challenges of underemployment in the wake of COVID-19. Work. A J. Prev. Assess. Rehabil. 2020, 67, 21–28. [Google Scholar] [CrossRef]
- Modrego, F.; Canales, A.; Bahamonde, H. Employment effects of COVID-19 across Chilean regions: An application of the translog cost function. Reg. Sci. Policy Pract. 2020, 12, 1151–1167. [Google Scholar] [CrossRef]
- Webb, A.; McQuaid, R.; Rand, S. Employment in the informal economy: Implications of the COVID-19 pandemic. Int. J. Sociol. Soc. Policy 2020, 40, 1005–1019. [Google Scholar] [CrossRef]
- Barbosa, D.M.E.; Ayala, A.H.; Sandoval, A.A. The Colombian pharmaceutical industry: Factors affecting export. Eur. J. Manag. Bus. Econ. 2016, 25, 39–46. [Google Scholar] [CrossRef]
- Lozano-Diez, J.; Marmolejo-Saucedo, J.; Rodriguez-Aguilar, R. Designing a resilient supply chain: An approach to reduce drug shortages in epidemic outbreaks. EAI Endorsed Trans. Pervasive Health Technol. 2020, 6, e2. [Google Scholar] [CrossRef]
- Hoff, T. COVID-19 and The Study of Professionals and Professional Work. J. Manag. Stud. 2021, 58, 1395–1399. [Google Scholar] [CrossRef]
- Solanki, S. An Exploratory Study on Behavioral Science of HR Mangers to Respond the COVID-19 Challenge. 2020. Available online: https://ssrn.com/abstract=3590050 (accessed on 8 January 2021).
- Elaziz, M.A.; Dahou, A.; Alsaleh, N.A.; Elsheikh, A.H.; Saba, A.I.; Ahmadein, M. Boosting COVID-19 Image Classification Using MobileNetV3 and Aquila Optimizer Algorithm. Entropy 2021, 23, 1383. [Google Scholar] [CrossRef] [PubMed]
- Elsheikh, A.H.; Saba, A.I.; Panchal, H.; Shanmugan, S.; Alsaleh, N.A.; Ahmadein, M. Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview. Healthcare 2021, 9, 1614. [Google Scholar] [CrossRef] [PubMed]
- Azhar, H.; Tauseef, A.; Usman, T.; Azhar, Y.; Tomas Petrović, A.; Pavlović, N.; Stilinović, N.; Lalović, N.; Paut Kusturica, M.; Dugandžija, T.; et al. Self-medication perceptions and practice of medical and pharmacy students in Serbia. Int. J. Environ. Res. Public Health 2022, 19, 1193. [Google Scholar]
- Azhar, H.; Tauseef, A.; Usman, T.; Azhar, Y.; Ahmed, M.; Umer, K.; Shoaib, M. Prevalence, Attitude and Knowledge of Self Medication during COVID-19 Disease Pandemic. Pak. J. Med Health Sci. 2021, 15, 902–905. [Google Scholar] [CrossRef]
- Malik, M.; Tahir, M.J.; Jabbar, R.; Ahmed, A.; Hussain, R. Self-medication during COVID-19 pandemic: Challenges and opportunities. Drugs Ther. Perspect. 2020, 36, 565–567. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. Available online: https://covid19.who.int/?gclid=CjwKCAjwkdL6BRAREiwA-kiczFVgD9G2jqjziCEtALuFBCwLGVS3hXLfiP4Fcvpq4nPcz8cwu1G8SRoCs8kQAvD_BwE (accessed on 25 August 2022).
- Noone, J.; Blanchette, C.M. The value of self-medication: Summary of existing evidence. J. Med. Econ. 2018, 21, 201–211. [Google Scholar] [CrossRef]
- DE VET, J.M.; Nigohosyan, D.; Núñez Ferrer, J.; Gross, A.-K.; Kuehl, S.; Flickenschild, M. Impacts of the COVID-19 Pandemic on EU Industries’, Study for the ITRE Committee. 2021. Available online: https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662903/IPOL_STU(2021)662903_EN.pdf (accessed on 10 April 2022).
- Republic Statistical Office. Available online: https://www.stat.gov.rs/ (accessed on 15 June 2022).
- Vukotić–Cotič, G.; Simonović, V.; Kovačević, M.; Nikolić, I.; Stančić, K.; Stamenković, S.; Jovandić, I.; Korović, P.; Bumbić, D. Macroeconomic Analyses and Trends, No 320. 2021. Available online: https://api.pks.rs/storage/assets/MAT%20320%202021-09.pdf (accessed on 15 June 2022).
- Ayati, N.; Saiyarsarai, P.; Nikfar, S. Short and long term impacts of COVID-19 on the pharmaceutical sector. DARU J. Pharm. Sci. 2020, 28, 799–805. [Google Scholar] [CrossRef]
- Bukhari, N.; Rasheed, H.; Nayyer, B.; Babar, Z.-U. Pharmacists at the frontline beating the COVID-19 pandemic. J. Pharm. Policy Pract. 2020, 13, 8. [Google Scholar] [CrossRef]
- Ahmad, A.; Alkharfy, K.M.; Alrabiah, Z.; Alhossan, A. Saudi Arabia, pharmacists and COVID-19 pandemic. J. Pharm. Policy Pract. 2020, 13, 41. [Google Scholar] [CrossRef]
- Florio, M.; Gamba, S. Biomed Europa: After the coronavirus, a public infrastructure to overcome the pharmaceutical oligopoly. Ann. Public Coop. Econ. 2021, 92, 387–409. [Google Scholar] [CrossRef]
- Jha, R.; Sharma, A. India’s pharmaceutical industry: Global supply chain and governance in the post-COVID-19 world. ASARC Working Paper 2020/01. 2020. Available online: https://ssrn.com/abstract=3622794 (accessed on 15 June 2022).
- Van Bavel, J.J.; Baicker, K.; Boggio, P.S.; Capraro, V.; Cichocka, A.; Cikara, M.; Crockett, M.J.; Crum, A.J.; Douglas, K.M.; Druckman, J.N.; et al. Using social and behavioural science to support COVID-19 pandemic response. Nat. Hum. Behav. 2020, 4, 460–471. [Google Scholar] [CrossRef] [PubMed]
- Ashiru-Oredope, D.; Chan, A.H.Y.; Olaoye, O.; Rutter, V.; Babar, Z.-U.; Anderson, C.; Anderson, R.; Halai, M.; Matuluko, A.; Nambatya, W.; et al. Needs assessment and impact of COVID-19 on pharmacy professionals in 31 commonwealth countries. J. Pharm. Policy Pract. 2020, 13, 72. [Google Scholar] [CrossRef] [PubMed]
- Eisen, D. Employee presenteeism and occupational acquisition of COVID-19. Med. J. Aust. 2020, 213, 140. [Google Scholar] [CrossRef] [PubMed]
- Chamorro, C.; Carreras-Presas, C.M.; Sanz-Marchena, A.; A Rodríguez-Fernández, M.; Suárez-Quintanilla, J.M.; Rivas-Mundiña, B.; Suárez-Quintanilla, J.; Pérez-Sayáns, M. Assessment of the Economic and Health-Care Impact of COVID-19 (SARS-CoV-2) on Public and Private Dental Surgeries in Spain: A Pilot Study. Int. J. Environ. Res. Public Health 2020, 17, 5139. [Google Scholar] [CrossRef]
- Patel, N. Impact on Dental Economics and Dental Healthcare Utilization in COVID-19: An Exploratory Study. J. Adv. Oral Res. 2020, 11, 128–136. [Google Scholar] [CrossRef]
- Manabe, T.; Nakagawa, K. The value of reputation capital during the COVID-19 crisis: Evidence from Japan. Financ. Res. Lett. 2022, 46, 102370. [Google Scholar] [CrossRef]
- Pollak, F.; Markovic, P.; Malinak, B.; Belovodska, K. Reputation Management in Times of the Pandemic—Empirical Analysis of Selected Health Care Providers Operating in the Slovak Market. SHS Web Conf. 2022, 135, 1010. [Google Scholar] [CrossRef]
- Ignjatijević, S.; Janjetović, R.; Aničić, A. Uslovi poslovanja u republici Srbiji i rizici u međunarodnom poslovanju. Oditor-Časopis Za Menadžment Finans. I Pravo. 2016, 2, 7–20. [Google Scholar] [CrossRef]
- Krasavac, B.C.; Karamata, E.; Soldić-Aleksić, J.; Radosavljević, K. Some Aspects of Corporate Social Responsibility and Company Reputation. Manag. Sustain. Bus. Manag. Solut. Emerg. Econ. 2021, 26, 3. [Google Scholar] [CrossRef]
- Amarat, M.; Akbolat, M.; Dizlek, K. The mediating role of patient satisfaction in the effect of corporate reputation on patient loyalty. Int. J. Health Manag. Tour. 2022, 7, 64–75. [Google Scholar] [CrossRef]
- Arief, N.N.; Pangestu, A.B. Perception and Sentiment Analysis on Empathic Brand Initiative during the COVID-19 Pandemic: Indonesia Perspective. J. Creat. Commun. 2021, 17, 162–178. [Google Scholar] [CrossRef]
- Dwiedienawati, D.; Tjahjana, D.; Faisal, M.; Gandasari, D.; Abdinagoro, S.B. Determinants of perceived effectiveness in crisis management and company reputation during the COVID-19 pandemic. Cogent Bus. Manag. 2021, 8, 1912535. [Google Scholar] [CrossRef]
- Rockers, P.C.; O Laing, R.; Scott, N.; Ashigbie, P.; Lucca, E.H.; Umeh, C.A.; Wirtz, V.J. Evaluation of pharmaceutical industry-led access programmes: A standardised framework. BMJ Glob. Health 2019, 4, e001659. [Google Scholar] [CrossRef] [PubMed]
- Rockers, P.C.; Wirtz, V.J.; Umeh, C.A.; Swamy, P.M.; Laing, R.O. Industry-Led Access-to-Medicines Initiatives in Low- and Middle-Income Countries: Strategies and Evidence. Health Aff. 2017, 36, 706–713. [Google Scholar] [CrossRef]
- Jovanović, S.; Matović, D.; Petrović, S. Inovativna i generička farmaceutska industrija i tržište lekova. Industrija 2010, 38, 105–119. [Google Scholar]
- OECD. WTO Trade in Value Added. Available online: http://stats.oecd.org/ (accessed on 25 August 2021).
- Biljan-August, M.; Pivac, S.; Štambuk, A. Uporaba Statistike u Ekonomiji; Ekonomski fakultet Sveučilišta u Rijeci: Rijeka, Croatia, 2009. [Google Scholar]
- Vuković, I.-T.; Brdarević, M.; Čukljek, S.; Babić, J. The attitudes of nurses towards internship in the Republic of Croatia. Croat. Nurs. J. 2019, 3, 79–92. [Google Scholar] [CrossRef]
- Biljan-August, M.; Pivac, S.; Štambuk, A. Upotreba Statistike, Regresijska i Korelacijska Analiza; Ekonomski fakultet Sveučilišta u Rijeci: Rijeka, Croatia, 2007. [Google Scholar]
- Julie, P. SPSS Survival Manual: A Step by Stem Guide to Data Analysis Using SPSS for Windows (Version 15), 3rd ed.; McGraw-Hill Education: New York, NY, USA, 2007. [Google Scholar]
- Tsiantou, V.; Zavras, D.; Kousoulakou, H.; Geitona, M.; Kyriopoulos, J. Generic medicines: Greek physicians’ perceptions and prescribing practices. J. Clin. Pharm. Ther. 2009, 34, 547–554. [Google Scholar] [CrossRef]
- Woolson, R.F.; Clarke, W.R. Statistical Methods for the Analysis of Biomedical Data; John Wiley & Sons. Inc.: New York, NY, USA, 2002. [Google Scholar] [CrossRef]
- Sandoval, J.L.; Friedlaender, A.; Addeo, A.; Weiss, G.J. Payments to key opinion leader physicians and drug sales of top pharmaceutical companies during the COVID-19 pandemic. medRxiv 2022, 1, 22268942. [Google Scholar] [CrossRef]
- Robinson, J.C. Funding of Pharmaceutical Innovation during and after the COVID-19 Pandemic. JAMA 2020, 325, 825. [Google Scholar] [CrossRef] [PubMed]
- Stevanović, P. Lečenje kritično obolelih COVID-19 pacijenata: Praktične smernice. Med. Podml. 2021, 72, 49–64. [Google Scholar] [CrossRef]
- Auyeung, A.; Wang, H.; Pirvulescu, I.; Knežević, N.N. Uticaj COVID-19 pandemije na lečenje pacijenata sa hroničnim bolom. Serb. J. Med. Chamb. 2021, 2, 197–212. [Google Scholar] [CrossRef]
- Iyengar, K.P.; Jain, V.K.; Vaishya, R. Current situation with doctors and healthcare workers during COVID-19 pandemic in India. Postgrad. Med. J. 2022, 98, e121–e122. [Google Scholar] [CrossRef]
- Clark, J.J.; Dwyer, D.; Pinwill, N.; Clark, P.; Johnson, P.; Hackshaw, A. The effect of clinical decision making for initiation of systemic anticancer treatments in response to the COVID-19 pandemic in England: A retrospective analysis. Lancet Oncol. 2021, 22, 66–73. [Google Scholar] [CrossRef]
- Schwartz, J.I.; Muddu, M.; Kimera, I.; Mbuliro, M.; Ssennyonjo, R.; Ssinabulya, I.; Semitala, F.C. Impact of a COVID-19 National Lockdown on Integrated Care for Hypertension and HIV. Glob. Hear. 2021, 16, 9. [Google Scholar] [CrossRef]
- Ghosal, S.; Sinha, B.; Majumder, M.; Misra, A. Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis. Diabetes Metab. Syndr. Clin. Res. Rev. 2020, 14, 319–323. [Google Scholar] [CrossRef]
- Armstrong-Hough, M.; Kishore, S.P.; Byakika, S.; Mutungi, G.; Nunez-Smith, M.; Schwartz, J.I. Disparities in availability of essential medicines to treat non-communicable diseases in Uganda: A Poisson analysis using the Service Availability and Readiness Assessment. PLoS ONE 2018, 13, e0192332. [Google Scholar] [CrossRef]
- Kabagenyi, A.; Kyaddondo, B.; Nyachwo, E.B.; Wasswa, R.; Bwanika, J.M.; Kabajungu, E.; Kiragga, A. Disruption in Essential Health Service Delivery: A Qualitative Study on Access to Family Planning Information and Service Utilization during the First Wave of COVID-19 Pandemic in Uganda. Open Access J. Contracept. 2022, ume 13, 75–82. [Google Scholar] [CrossRef]
- Ashforth, B.E. Identity and Identification During and After the Pandemic: How Might COVID-19 Change the Research Questions we Ask? J. Manag. Stud. 2020, 57, 1763–1766. [Google Scholar] [CrossRef]
- Bapuji, H.; de Bakker, F.G.A.; Brown, J.A.; Higgins, C.; Rehbein, K.; Spicer, A. Business and Society Research in Times of the Corona Crisis. Bus. Soc. 2020, 59, 1067–1078. [Google Scholar] [CrossRef]
- He, H.; Harris, L. The impact of COVID-19 pandemic on corporate social responsibility and marketing philosophy. J. Bus. Res. 2020, 116, 176–182. [Google Scholar] [CrossRef]
- Rivera, A. The Impact of COVID-19 on Transport and Logistics Connectivity in the Landlocked Countries of South America; Economic Commission for Latin America and the Caribbean (ECLAC): Santiago, Chile, 2020. [Google Scholar]
- Boiral, O.; Brotherton, M.-C.; Rivaud, L.; Guillaumie, L. Organizations’ Management of the COVID-19 Pandemic: A Scoping Review of Business Articles. Sustainability 2021, 13, 3993. [Google Scholar] [CrossRef]
- Webster, P. Virtual health care in the era of COVID-19. Lancet 2020, 395, 1180–1181. [Google Scholar] [CrossRef]
General Data and Characteristics of the Company | Percent | |
---|---|---|
Which group does your company belong to? | Innovative * | 59.3 |
Generic ** | 40.7 | |
How many employees does your company have in Serbia (at the time of completing the questionnaire)? | less than 25 employees | 37.0 |
more than 25 employees | 63.0 | |
What was the income of your company in Serbia in the year before the COVID-19 pandemic? | up to EUR 8 million | 55.6 |
more than EUR 8 million | 44.4 | |
Economic parameters of business during the pandemic | ||
What is the percentage of employees in your company in Serbia who, due to the pandemic, did not come to office either due to impossibility or due to non-obligation? | up to 20% | 55.6 |
more than 20% | 44.4 | |
Did your company encounter financial difficulties during the previous period, and after the outbreak of the COVID-19 pandemic? | no financial difficulties | 81.5 |
suppliers debt | 7.4 | |
salaries debt | 11.1 | |
Did your company encounter problems during the COVID-19 pandemic? | no problems | 18.5 |
logistical problems | 48.1 | |
Other | 33.3 | |
What was the total income of your company in Serbia in 2020 compared to 2019? | the same | 7.4 |
increased up to 10% | 33.3 | |
increased over 10% | 33.3 | |
decreased up to and more than 10% | 14.8 | |
I do not know | 11.1 | |
What were the total costs of your company in Serbia in 2020 compared to 2019? | the same | 22.2 |
increased up and more than 10% | 37.0 | |
decreased up to and more than 10% | 33.3 | |
I do not know | 7.4 |
Statement | Respondents’ Answers | Percent |
---|---|---|
In your opinion, has the drug-free donation program been altered due to the COVID-19 pandemic? | its volume has been the same | 44.4% |
its volume has been increased/compared to time before the pandemic | 14.8% | |
its volume has been reduced/compared to time before the pandemic | 14.8% | |
we do not have a donation program | 25.9% | |
In your opinion, will the number of employees in the company in Serbia change after the end of the pandemic is announced? | it will remain the same | 51.9% |
it will be enlarged | 29.6% | |
I do not know | 18.5% | |
In your opinion, do you expect some employees to continue working from home office? | everyone is coming back to the office | 33.3% |
less than 10% are working from home office | 22.2% | |
10% to 50% are working from home office | 29.6% | |
I do not know | 14.8% |
What is the percentage of employees in your company in Serbia who, due to the pandemic, did not come to the office either due to impossibility or due to non-obligation? | ||||||||||
Which group does your company belong to? | Up to 20% | More than 20% | I do not know | |||||||
Innovative | 37.5% | 56.3% | 6.3% | |||||||
Generic | 81.8% | 18.2% | 0.0% | |||||||
Chi2 = 5.31; p= 0.049; | ||||||||||
Lack of medicines, medical devices, gases, etc., which are not used in the treatment of SARS-CoV-2 virus infections; | ||||||||||
Which group does your company belong to? | No | Yes | ||||||||
Innovative | 18.8% | 81.3% | ||||||||
Generic | 72.7% | 27.3% | ||||||||
Chi2 = 7.867; p= 0.005; | ||||||||||
Patient access to the chosen physician has been significantly hampered in a COVID-19 pandemic. | ||||||||||
Which group does your company belong to? | Disagree | Indifferent | Partially agree | Fully agree | ||||||
Innovative | 0.0% | 6.3% | 50.0% | 43.8% | ||||||
Generic | 9.1% | 0.0% | 0.0% | 90.9% | ||||||
Chi2 = 9.945; p= 0.019 | ||||||||||
In your opinion, do you expect some employees to continue working from home? | ||||||||||
Which group does your company belong to? | Everyone is coming back to the office | Less than 10% are working from home | 10% to 50% are working from home | I do not know | ||||||
Innovative | 25.0% | 6.3% | 50.0% | 18.8% | ||||||
Generic | 45.5% | 45.5% | 0.0% | 9.1% | ||||||
Chi2 = 11.237; p= 0.011 | ||||||||||
In your opinion, you expect your company’s revenue after the end of the pandemic to be? | ||||||||||
Which group does your company belong to? | No change | Growth up to 10% | Growth more than 10% | Drop up to 10% | I can’t estimate | |||||
Innovative | 12.5% | 31.3% | 50.0% | 0.0% | 6.3% | |||||
Generic | 9.1% | 27.3% | 9.1% | 36.4% | 18.2% | |||||
Chi2 = 10.029; p= 0.040. |
Block 1: Method = Forward Stepwise (Likelihood Ratio) | Block 2: Method = Forward Stepwise (Likelihood Ratio) | Block 3: Method = Forward Stepwise (Likelihood Ratio) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
B | Sig | Exp(B) | B | Sig | Exp(B) | B | Sig | Exp(B) | |||
Lack of medicines, medical devices, gases, etc. which are not used in the treatment of SARS-CoV-2 virus infections | −1.502 | 0.003 | 0.223 | Lack of medicines, medical devices, gases, etc., which are not used in the treatment of SARS-CoV-2 virus infections | −1.072 | 0.045 | 0.342 | Lack of medicines, medical devices, gases, etc., which are not used in the treatment of SARS-CoV-2 virus infections | −0.943 | 0.095 | 0.389 |
Introduction of digital technologies, such as tele-medicine | −1.715 | 0.000 | 0.180 | Introduction of digital technologies, such as tele-medicine | −1.777 | 0.001 | 0.169 | Introduction of digital technologies, such as tele-medicine | −2.779 | 0.000 | 0.062 |
Constant | 0.644 | 0.036 | 1.905 | Patient access to the chosen physician has been significantly hampered in pandemic | −0.902 | 0.049 | 0.406 | Patient access to the chosen physician has been significantly hampered in pandemic | −2.276 | 0.006 | 0.103 |
Predicted (Overall Percentage) = 77.8 Chi-square (df) Sig. = 22.144 (2) 0.000; −2 Log likelihood = 123.851; Cox and Snell R Square = 0.185; Nagelkerke R Square = 0.250. | The drug-free donation program has been altered due to the COVID-19 pandemic. | −0.547 | 0.009 | 0.579 | The drug-free donation program has been altered due to the COVID-19 pandemic | −0.645 | 0.010 | 0.525 | |||
Constant | 4.989 | 0.006 | 146.86 | A part of the employees will continue to work from home. | −0.028 | 0.011 | 0.972 | ||||
Predicted (Overall Percentage) = 74.1; Chi-square (df) Sig. = 37.411 (4) 0.000; −2 Log likelihood = 108.583; Cox and Snell R Square = 0.293; Nagelkerke R Square = 0.395. | Slowdown in the process of obtaining import licenses | −0.084 | 0.056 | 0.920 | |||||||
Constant | 11.392 | 0.002 | 8626.8 | ||||||||
Predicted (Overall Percentage) = 88.9; Chi-square (df) Sig. = 55.701 (6) 0.000; −2 Log likelihood = 90.293; Cox and Snell R Square = 0.403; Nagelkerke R Square = 0.544. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Milenković, J.; Lakić, D.; Bogavac-Stanojević, N. Analysis of the Professional Aspects of Medical Drugs Industry in the Republic of Serbia in Times of COVID-19 Pandemic. Sustainability 2023, 15, 8584. https://doi.org/10.3390/su15118584
Milenković J, Lakić D, Bogavac-Stanojević N. Analysis of the Professional Aspects of Medical Drugs Industry in the Republic of Serbia in Times of COVID-19 Pandemic. Sustainability. 2023; 15(11):8584. https://doi.org/10.3390/su15118584
Chicago/Turabian StyleMilenković, Jovana, Dragana Lakić, and Nataša Bogavac-Stanojević. 2023. "Analysis of the Professional Aspects of Medical Drugs Industry in the Republic of Serbia in Times of COVID-19 Pandemic" Sustainability 15, no. 11: 8584. https://doi.org/10.3390/su15118584
APA StyleMilenković, J., Lakić, D., & Bogavac-Stanojević, N. (2023). Analysis of the Professional Aspects of Medical Drugs Industry in the Republic of Serbia in Times of COVID-19 Pandemic. Sustainability, 15(11), 8584. https://doi.org/10.3390/su15118584