Joseph L Dieleman and colleagues (June 18, p 2521)1 should be congratulated for their study on health spending prediction. However, this is a multifactorial and complex problem. The ongoing global financial crisis, rapid development of novel technologies that can increase or reduce total health expenditures, the emergence of often unexpected diseases such as the Zika virus, changing population genetics and epigenetics, and environmental changes and disasters are key parameters that impede the accuracy of spending prediction models.
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2pq8FBp
via IFTTT
Εγγραφή σε:
Σχόλια ανάρτησης (Atom)
Δημοφιλείς αναρτήσεις
-
Pulmonary complications post hematopoietic stem cell transplant in dyskeratosis congenita: analysis of oxidative stress in lung fibrobl...
-
Predictive Success Factors in Selective Upper Airway Stimulation. ORL J Otorhinolaryngol Relat Spec. 2017 Feb 24;79(1-2):121-128 Auth...
-
Abstract Background The introduction of aggressive chemo-radiotherapy regimens has improved overall survival in children with primitive ...
-
Background. Antitumor necrosis factor (anti-TNF) therapy is a highly effective but costly treatment for inflammatory bowel disease (IBD). Me...
-
Abstract Desmoplastic small round cell tumor (DSCRT) is a rare malignancy most often seen in the abdomen or pelvis of young men. Unfortuna...
-
Abstract Nonmotor symptoms (NMS) have been described in several neurodegenerative diseases but have not been systematically evaluated in sp...
-
Article content meets expectations Minimal relevance to assigned subject matter. Article content fails to meet all requirements Not Rubric f...
-
Objective To determine the association between neuroendocrine tumor (NET) biomarker levels and the extent of disease as assessed by 68 Ga DO...
-
Elementary school kids, on the other hand, can read, write, reason and think highly complex thoughts. Adele Faber and Elaine Mazlish, author...
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου