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Updated: Jul 7, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[Allocation of resources in patients with bad prognosis: the need for debate]
J F Solsona1, Y Díaz, M L Iglesias
1Servicio de Medicina Intensiva, Hospital Universitario del Mar, Barcelona, España. 13713@imas.imim.es
Objective:
Assess the opinion of health care professions on the awarding of resources when the patient has a bad prognosis.
Design:
Survey type test where a scenario of a patient with a 6 month life prognosis is posed, differentiating between good and bad quality of life. It is evaluated if the following resources would be indicated if necessary: admission to ICU, hemodialysis, hip prosthesis, transplant, Hospital admission, antibiotics for bacterial infection, permanent pacemaker and surgery. To analyze the possible association between the variables, the Pearson's Chi Square Test or that of linear tendency was used. To determine if each person interviewed was appropriate in a different way based on the patient's quality of life status, the McNemar test was used.
Setting:
University Hospital of 480 beds.
Participants:
Sample of 256 volunteers (physicians and nurses) from the Emergency Service, Intensive Care Unit and Operating Room.
Interventions:
A responsible physician was in charge of personally distributing the survey during a 2-week period and to explain the possible doubts that could arise on it.
Results:
A total of 23.8% of those surveyed considered that transplant would be indicated and 79.8% that permanent pacemaker would be indicated if the patient had a good quality of life. If there was bad quality of life, 9.1% would have always indicated hemodialysis (60.5% never), 2.8% hip prosthesis (81.1% never) and 4% complex surgery (78.8% never). There were also significant differences in all the variables studied, depending on whether the patient had good or bad quality of life.
Conclusion:
There is great variability on the allotment of resources for patients with limited possibilities of survival.
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