Analysis of generational differences in professionalism in Latin American physicians
Keywords:
age groups, decision trees, ethics, medical, professionalismAbstract
Introduction: Medical professionalism is a component that impacts the quality of care and patient trust. As generations of physicians evolve, differences may arise in how values related to professionalism are expressed.
Objective: To identify characteristics associated with professional behavior in physicians of different age groups.
Methods: A cross-sectional study based on data from 424 physicians from Paraguay, Peru, and Cuba. CHAID analysis was applied to examine variables related to professionalism. The dependent variable was age group, while the independent variables were 43 indicators and 7 dimensions related to medical professionalism.
Results: In young adults, recording unexamined physical findings (61.50%) and leaving work without completing tasks (47.90%) were more prevalent. Middle-aged adults were more likely to prescribe medications in exchange for compensation (61.30%) and avoid eye contact due to the use of electronic devices (45.10%). In terms of academic ethics, middle-aged adults reported less misconduct in research and publication (45.90%), while younger adults were more vulnerable to these violations (62.40%). Regarding respect for colleagues and patients, middle-aged adults reported greater workplace stress and confidentiality violations.
Conclusions: There are generational differences in medical professionalism, with younger adults making mistakes due to pressure and evading responsibility; middle-aged adults face ethical-work conflicts; and older adults have difficulty adapting to standards and teamwork.
Downloads
References
1. Kirk LM. Professionalism in medicine: Definitions and considerations for teaching [Internet]. Proc (Bayl Univ Med Cent). 2007; 20(1):13–6. DOI: 10.1080/08998280.2007.11928225
2. Lin Y, Yin S, Lai S, Tang J, Huang J, Du L. The influence factors of medical professionalism: A stratified-random sampling study based on the physicians and patients in ambulatory care clinics of Chengdu, China [Internet]. Medicine (Baltimore). 2016; 95(43):e5128. DOI: 10.1097/md.0000000000005128
3. Medical professionalism and the generation gap [Internet]. Am J Med. 2005 [acceso: 12/02/2025]; 118(4):439–42. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0002934305000355
4. Nimjee T, Miller E, Solomon S. Exploring generational differences in physicians’ perspectives on the proliferation of technology within the medical field: A narrative study [Internet]. Healthc Q. 2020; 23(SP):53–9. DOI: 10.12927/hcq.2020.26172
5. Peck BM. Age-related differences in doctor-patient interaction and patient satisfaction [Internet]. Curr Gerontol Geriatr Res. 2011; 2011:1–10. DOI: 10.1155/2011/137492
6. A guide to CHAID: A decision tree algorithm for data analysis [Internet]. Adience. 2023. [acceso: 24/04/2025]. Disponible en: https://www.adience.com/blog/how-to/a-guide-to-chaid-a-decision-tree-algorithm-for-data-analysis/
7. Kwon H-J, Lee Y-M, Lee Y-H, Chang H-J. Development an instrument assessing residents’ attitude towards professionalism lapses in training [Internet]. Korean J Med Educ. 2017; 29(2):81–91. DOI: 10.3946/kjme.2017.55
8. Choi H-Y, Kim E-Y, Kim J. Prognostic factors in diabetes: Comparison of Chi-square automatic interaction detector (CHAID) decision tree technology and logistic regression [Internet]. Medicine (Baltimore). 2022; 101(42):e31343. DOI: 10.1097/md.0000000000031343
9. Cuesta-Briand B, Coleman M, Ledingham R, Moore S, Wright H, Oldham D, et al. Understanding the factors influencing junior doctors’ career decision-making to address rural workforce issues: Testing a conceptual framework [Internet]. Int J Environ Res Public Health. 2020; 17(2):537. DOI: 10.3390/ijerph17020537
10. Bigdeli S, Baradaran HR, Ghanavati S, Soltani Arabshahi SK. A qualitative approach to identify clinical uncertainty in practicing physicians and clinical residents [Internet]. J Educ Health Promot. 2022; 11(1):278. DOI: 10.4103/jehp.jehp_14_22
11. Addis BA, Gelaw YM, Eyowas FA, Bogale TW, Aynalem ZB, Guadie HA. “Time wasted by health professionals is time not invested in patients”: time management practice and associated factors among health professionals at public hospitals in Bahir Dar, Ethiopia: a multicenter mixed method study [Internet]. Front Public Health. 2023; 11(2023):1159275. DOI: 10.3389/fpubh.2023.1159275
12. Thirumoorthy T. Conflicts of interest in medicine: understanding the concepts to preserve the integrity of professional judgement and promote trust in the profession [Internet]. Singapore Med J. 2023; 64(2):121–6. DOI: 10.4103/singaporemedj.smj-2022-217
13. Administrative burden is driving physician burnout, and puts access to care at risk [Internet]. Canadian Medical Association. 2024. [acceso: 24/04/2025]. Disponible en: https://www.cma.ca/our-focus/administrative-burden/facts
14. Bravo Acuña J, Merino Moína M. Uso de nuevas tecnologías en la comunicación con los pacientes, su utilidad y sus riesgos [Internet]. An Pediatr (Engl Ed). 2020; 92(5):251–2. DOI: 10.1016/j.anpedi.2020.02.010
15. Spiers J, Kokab F, Buszewicz M, Chew-Graham CA, Dunning A, Taylor AK, et al. Recommendations for improving the working conditions and cultures of distressed junior doctors, based on a qualitative study and stakeholder perspectives [Internet]. BMC Health Serv Res. 2022; 22(1):08728. DOI: 10.1186/s12913-022-08728-2
16. De Andrade AL, Drumond Moraes T, Martins Silva P, Silveira de Queiroz S. Conflicto trabajo-familia en profesionales del contexto hospitalario: análisis de predictores [Internet]. Rev Psicol. 2020; 38(2):451–78. DOI: 10.18800/psico.202002.004
17. Čartolovni A, Malešević A, Poslon L. Critical analysis of the AI impact on the patient-physician relationship: A multi-stakeholder qualitative study [Internet]. Digit Health. 2023; 9:20552076231220833. DOI: 10.1177/20552076231220833
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Alberto Guevara Tirado, Raúl Emilio Real-Delor2

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who have publications with this Journal accept the following terms:
- The authors will retain their copyright and guarantee the Journal the right of first publication of their work, which will simultaneously be subject to the Creative Commons Attribution License. The content presented here can be shared, copied and redistributed in any medium or format; Can be adapted, remixed, transformed or created from the material, using the following terms: Attribution (giving appropriate credit to the work, providing a link to the license, and indicating if changes have been made); non-commercial (you cannot use the material for commercial purposes) and share-alike (if you remix, transform or create new material from this work, you can distribute your contribution as long as you use the same license as the original work).
- The authors may adopt other non-exclusive license agreements for the distribution of the published version of the work (for example: depositing it in an institutional electronic archive or publishing it in a monographic volume) as long as the initial publication in this Journal is indicated.
- Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional electronic archives or on their website) before and during the submission process, which can produce interesting exchanges and increase citations. of the published work.