Hablamos de los criterios para elegir a un médico y los componentes de formación detrás del prestigio y capacidad percibidos por los pacientes.

Notas y referencias:
“Physician Age and Outcomes in Elderly Patients in Hospital in the US: Observational Study,” by Yusuke Tsugawa, Joseph P. Newhouse, John D. MacArthur, Alan M. Zaslavsky, Daniel M. Blumenthal, Anupam B. Jena, and Ruth L. Newhouse (BMJ, 2017).
https://www.bmj.com/content/357/bmj.j1797

“Variation in Physician Spending and Association With Patient Outcomes,” by Yusuke Tsugawa, Ashish K. Jha, Joseph P. Newhouse, Alan M. Zaslavsky, and Anupam B. Jena (JAMA Internal Medicine, 2017).
https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2608538

“The Effects of Training Institution Practice Costs, Quality, and Other Characteristics on Future Practice,” by Robert L. Phillips, Stephen M. Petterson, Andrew W. Bazemore, Peter Wingrove, and James C. Puffer (Annals of Family Medicine, 2017).
https://www.annfammed.org/content/15/2/140

“Quality of care delivered by general internists in US hospitals who graduated from foreign versus US medical schools: observational study,” by Yusuke Tsugawa, Anupam B. Jena, Ruth L. Newhouse, E. John Orav, and Ashish K. Jha (BMJ, 2017)
https://www.bmj.com/content/356/bmj.j273

Ranking ENARM 2022
https://www.saludiario.com/enarm-2022-universidades-puntajes-mas-altos/

Especialidades con puntajes más altos
https://www.saludiario.com/enarm-2022-especialidades-puntajes-mas-altos/?amp

Vivencias de los residentes en México 
https://www.sciencedirect.com/science/article/pii/S200750571630076X 

Satisfacción académica en residentes de la zona norte, ciudad de México
Víctor Manuel Camarillo-Nava, Miriam Ramirez-Cortez. 
Rev Med Inst Mex Seguro Soc. 2023 Jul-Aug; 61(4): 457–465.  Spanish. doi: 10.5281/zenodo.8200319
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484548/

Gradientes de idoneidad para impulsar la mejora continua de campos clínicos utilizados en programas de Especialidades Médicas en México. Gregorio Martínez-Ozuna
https://www.sciencedirect.com/science/article/pii/S1575181318300020

“Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations,” by Ziad Obermeyer, Brian Powers, Christine Vogeli, and Sendhil Mullainathan (Science, 2019). 
https://www.science.org/doi/10.1126/science.aax2342