OBJECTIVE: To develop models to improve accessibility of performing laboratory tests on chronic oncology patients, as well as a more flexible choice of sample collection in both primary and specialized care. MATERIAL AND METHODS: Circuit analysis of cancer patients. Patient survey to study access to laboratory tests. High Resolution Consultation Development Model (MCAR) and Patient Access Analytical Model (MAAP). RESULTS: The percentage of cancer patients on treatment has increased by 8.76% in the past two years. There was a 32% increased in the use of the MAAP model in the two years of its implementation, and has been the choice of 74% due to greater accessibility, with 8% of the patients having used both models to suit their needs. CONCLUSIONS: The implementation of optimized and preferred care systems has shown that both models improve accessibility and flexibility of the diagnostic testing laboratory in the patients studied.
OBJECTIVE: To develop models to improve accessibility of performing laboratory tests on chronic oncology patients, as well as a more flexible choice of sample collection in both primary and specialized care. MATERIAL AND METHODS: Circuit analysis of cancerpatients. Patient survey to study access to laboratory tests. High Resolution Consultation Development Model (MCAR) and Patient Access Analytical Model (MAAP). RESULTS: The percentage of cancerpatients on treatment has increased by 8.76% in the past two years. There was a 32% increased in the use of the MAAP model in the two years of its implementation, and has been the choice of 74% due to greater accessibility, with 8% of the patients having used both models to suit their needs. CONCLUSIONS: The implementation of optimized and preferred care systems has shown that both models improve accessibility and flexibility of the diagnostic testing laboratory in the patients studied.
Authors: I Magallón-Pedrera; J Pérez-Altozano; J A Virizuela Echaburu; C Beato-Zambrano; P Borrega-García; J C de la Torre-Montero Journal: Clin Transl Oncol Date: 2020-04-30 Impact factor: 3.405