Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data.
The following is the review from the article “Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data” from Segagni et al. (2014). [1].
Introduction and Background
Therapy adherence of patients with chronic illnesses represents a tremendous challenge for physicians due to the fact that the lifestyle and treatment of the patients occurs outside the controlled and monitored clinical setting and treatment responsibility now lies on the patient. Thus, the behavior expressed by chronic patients in their daily base has an impact on the potential improvement of their course of treatment. Type 2 Diabetes Mellitus (T2DM) is condition presented in almost 90% of the total diabetic cases and a prominent issue in the realm of chronic diseases due to the improper adherence of patient’s treatment, hence the need to implement innovative procedures to create an impact in the current clinical practices.
Goal and Methods
The pathway proposed to achieve such objective by Segagni et al. (2014) consisted on the development of a software which could analyze inputted data from the Electronic Medical Record (EMR) of the IRCCS Fondazione Maugeri (FSM) hospital of Pavia, Italy and consequently combine it with administrative, pharmaceutical and open environmental data of the same region so that clinical follow-up treatment could be enhanced in T2DM patients. A 433 patients sample was used in this study.
Results
Adherent subjects expressed optimal clinical values in comparison with the under and over adherent groups. Those which didn’t present good adherence resulted in patients developing metabolic disorders regardless of their under or over adherence to the therapy.
Conclusions
Authors concluded that providing information in advance through the CDS about chronic T2DM patients and their behaviors in regards to therapy adherence can definitely improve the treatment of such followed-up patients and improve our understanding of behavior of this diabetic populations at individual and group levels.
References
- ↑ Segagni, D., Sacchi, L., Dagliati, A., Tibollo, V., Leporati, P., De Cata, P., ... & Bellazzi, R. (2014). Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data. Studies in health technology and informatics, 216, 682-686. http://www.ncbi.nlm.nih.gov/pubmed/26262138
