When the Need is Greater Than Feasible

Olivero, Carlos Alfredo Fraile; Sarceda, José Ramón Jarabo; Santacruz, Carlos Cerdán; Santos, Passio; Manzanal, Pedro Daniel Arribas; Barriuso, Rafael; Trancho, Florentino Hernando

doi:10.1016/j.arbres.2020.05.020

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…5 In surgical subspecialities, it has presented low development, 5 in spite of the fact that several studies show that it can be a viable, safe and effective alternative for the preoperative evaluation and the postoperative controls in different pathologies. 1,6 However, the recent SARS-CoV-2 pandemic has obliged us to take exceptional measures to, on the one hand, achieve a continuity of care and, on the other hand, control the infection and reduce the risk of transmission, 7 having the need to adapt to telemedicine through phone calls, as necessary measure, although improvised. 1,8 Due to emergency situations, the implementation could not be done in a regulated and gradual way which allows us patients' triage, technological resources management, training (physician and patients) and programming.…”

Section: Introductionmentioning

confidence: 99%

Patients’ Perceived Satisfaction Through Telephone-Assisted Tele-Consultation During the SARS-CoV-2 Pandemic Period: Observational Single-Centre Study at a Tertiary-Referral Colorectal Surgery Department

et al. 2021

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Introduction: The pandemic produced by SARS-CoV-2 has obliged us to set up the tele-assistance to offer a continuity of care. This implies an innovation, being the degree of satisfaction of patients unknown. Methods: A telephonic survey was conducted with the validated in the Spanish tool Telehealth Usability Questionnaire (Telehealth Usability Questionnaire; rating from 1-7) of all candidate patients assisted consecutively in the Coloproctology Unit. We included demographic variables, education level, job status, diagnosis and consultation type. A descriptive study was done. The relationship between the willingness of consultation model in the future (telemedicine vs traditional) and the categorical variables was analysed through the chi-squared test. Results: A total of 115 patients were included. The average age was 59.9 years, being 60% women. The average score in each of the survey items was higher than 6 in all the questions but 1. 26.1% of the surveyed patients confessed being advocated to tele-assistance in the future. The only factors related to greater willingness to tele-assistance were male gender (37% vs 18.8%; P = .03) and a higher academic preparation level in favour of higher technical studies (35.9%) and university studies (32.4%) opposite to the rest ( P = .043). The rest of variables studied, job status, labour regimen, diagnostic group and consultation type did not show any relationship. Conclusions: A vast majority of patients answered favourably to almost all the items of the survey. However, only 26.1% of them would choose a model of tele-assistance without restrictions.

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Section: Introductionmentioning

confidence: 99%

Patients’ Perceived Satisfaction Through Telephone-Assisted Tele-Consultation During the SARS-CoV-2 Pandemic Period: Observational Single-Centre Study at a Tertiary-Referral Colorectal Surgery Department

et al. 2021

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Risk Factors of Mortality in Hospitalized Patients With COVID-19 Applying a Machine Learning Algorithm

Nieto-Codesido¹,

Calvo-Alvarez²,

Diego³

et al. 2022

Open Respiratory Archives

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Introducción: La estratificación del riesgo de los pacientes con COVID-19 puede ser fundamental para apoyar la toma de decisiones clínicas y optimizar los recursos. El objetivo de nuestro estudio es identificar, entre los parámetros clínicos y analíticos probados de forma rutinaria, aquellos que nos permitirían determinar a los pacientes con mayor riesgo de morir por COVID-19. Material y Métodos: Se realizó un estudio multicéntrico de cohorte retrospectiva de forma consecutiva, incluyendo pacientes hospitalizados con COVID-19 ingresados en cualquiera de los 11 hospitales de la red sanitaria de HM Hospitales-España. Los datos clínicos, demográficos, analíticos y radiológicos se recopilaron de las historias clínicas de los pacientes. Para evaluar el impacto predictivo de cada uno de los biomarcadores y medir la significación estadística de las variables involucradas en el análisis, se aplicó un bosque aleatorio con un método de permutación. Utilizamos la medida de similitud inducida por un modelo de clasificación previo y ajustamos el algoritmo de agrupación de grupos k en función de la distancia de energía para estratificar a los pacientes en un grupo de alto y bajo riesgo. Finalmente, ajustamos dos árboles de clasificación óptimos para tener una representación esquemática de los puntos de corte. Resultados: Se incluyeron 1246 pacientes (edad promedio de 65,36 años, 62% varones). Durante el estudio murieron ciento sesenta y ocho pacientes (13%). Los factores que identifican a los pacientes de alto riesgo de mortalidad son los valores elevados de edad, Dímero D, glóbulos blancos, Na, PCR y creatinina. Conclusiones : La edad parece ser el principal predictor de mortalidad en pacientes con infección por SARS-CoV-2, mientras que el impacto de los reactantes de fase aguda y la celularidad sanguínea también es muy relevante.

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When the Need is Greater Than Feasible

Cited by 2 publications

References 2 publications

Patients’ Perceived Satisfaction Through Telephone-Assisted Tele-Consultation During the SARS-CoV-2 Pandemic Period: Observational Single-Centre Study at a Tertiary-Referral Colorectal Surgery Department

Patients’ Perceived Satisfaction Through Telephone-Assisted Tele-Consultation During the SARS-CoV-2 Pandemic Period: Observational Single-Centre Study at a Tertiary-Referral Colorectal Surgery Department

Risk Factors of Mortality in Hospitalized Patients With COVID-19 Applying a Machine Learning Algorithm

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