The study of the mural painting in the 12th century monastery of Santa Maria delle Cerrate (Puglia-Italy): characterization of materials and techniques used

none6A multidisciplinary research was conducted by the University of Salento in collaboration with the Lecce Provincial Museum, in order to study different forms of art widespread in the Salento peninsula (Southern Italy) very valuable from an artistic point of view and important as driving force for the tourism of the area. In this research, the archaeometrical analysis was used to study the first cycle of paintings of the church of Santa Maria delle Cerrate, an italo-greek monastery located in the country about 15 km north-east of Lecce, probably built in the 12th century. Microscopic, chromatographic and spectrometric techniques were used: optical microscopy was used to study samples and the relevant stratigraphy, micro-Raman Spectroscopy to identify pigments and Gas Chromatography with Mass Spectrometric Detection to investigate the techniques masters used to decorate the monastery church. Further information on organic and inorganic materials present in the samples were obtained from Fourier transform infrared analysis in attenuated total reflectance. Materials and techniques were clearly ascertained, and, interestingly, pigments were applied both by fresco and egg-based tempera. Among the various pigments detected, the identification of both lapis lazuli and lead white opened new perspectives both from the historical and conservative points of view. Copyright © 2013 John Wiley & Sons, Ltd.Giuseppe E. De Benedetto;Daniela Fico;Eleonora Margapoti;Antonio Pennetta;Antonio Cassiano;Brizia MinervaDE BENEDETTO, Giuseppe, Egidio; Fico, Daniela; Eleonora, Margapoti; Pennetta, Antonio; Antonio, Cassiano; Brizia, Minerv

Performance assessment of a closed-loop system for diabetes management

Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/ doctor applications over a service-oriented architecture that has been evaluated in an international trial (83,905 operation records). The proposed system integrates three types of running environments and data engines in a single serviceoriented architecture. This feature is used to assess key performance indicators comparing them with other type of architectures. Data sustainability across the applications has been evaluated showing better outcomes for full integrated sensors. At the same time, runtime performance of clients has been assessed spotting no differences regarding the operative environmentThe authors wish to acknowledge the consortium of the METABO project (funded by the European Commission, Grant nr. 216270) for their commitment during concept development and trial execution.Martínez Millana, A.; Fico, G.; Fernández Llatas, C.; Traver Salcedo, V. (2015). Performance assessment of a closed-loop system for diabetes management. Medical and Biological Engineering and Computing. 53(12):1295-1303. doi:10.1007/s11517-015-1245-3S129513035312Bellazzi R, Larizza C, Montani A et al (2002) A telemedicine support dor diabetes management: the T-IDDM project. Comput Methods Programs Biomed 69:147–161Boloor K, Chirkova R, Salo T, Viniotis Y (2011) Analysis of response time percentile service level agreements in soa-based applications. IEEE global telecommunications conference (GLOBECOM 2011), dec. 2011, pp 1–6Cartwright M et al (2013) Effect of telehealth on quality of life and psychological outcomes over 12 months: nested study of patient reported outcomes in a pragmatic, cluster randomised controlled trial. BMJ 346:f653Chen I-Y et al (2008) Pervasive digital monitoring and transmission of pre-care patient biostatics with an OSGi, MOM and SOA based remote health care system. In: Proceedings of the 6th annual IEEE international conference on PerCom. Hong KongFico G, Fioravanti A, Arredondo MT, Leuteritz JP, Guillén A, Fernandez D (2011) A user centered design approach for patient interfaces to a diabetes IT platform. Conf Proc IEEE Eng Med Biol Soc 2011:1169–1172Fioravanti A, Fico G, Arredondo MT, Salvi D, Villalar JL (2010) Integration of heterogeneous biomedical sensors into an ISO/IEEE 11073 compliant application. In: Engineering in medicine and biology society (EMBC), 2010 Annual international conference of the IEEE, pp 1049–1052García Saez G et al (2009) Architecture of a wireless personal assistant for telemedical diabetes care. Int J Med Inform 9(78):391–403Gómez EJ, Hernando ME et al (2008) The INCA system: a further step towards a telemedical artificial pancreas. IEEE Trans Inf Technol Biomed 12(4):470–479Harrison’s Principles of Internal Medicine (2011) McGraw-Hill. ISBN:978-0071748896. Ed. July 2011Ke X, Li W et al (2010) WCDMA KPI framework definition methods and applications. ICCET proceedings V4-471–V4-475Klonof D (2013) Twelve modern digital technologies that are transforming decision making for diabetes and all areas of health care. J Diabetes Sci Technol 7(2):291–295Lanzola G et al (2007) Going mobile with a multiaccess service for the management of diabetic patients. J Diabetes Sci Technol 1(5):730–737Ma C et al (2006) Empowering patients with essential information and communication support in the context of diabetes. Int J Med Inform 75(8):577–596Müller AJ, Knuth M, Nikolaus KS, Krivánek R, Küster F, Hasslacher C (2013) First clinical evaluation of a new percutaneous optical fiber glucose sensor for continuous glucose monitoring in diabetes. J Diabetes Sci Technol 7:13Nundy S et al (2012) Using mobile health to support chronic care model: developing an institutional model. Int J Telemed Appl 2012, Art Id 871925. doi: 10.1155/2012/871925Obstfelder A, Engeseth KH, Wynn R (2007) Characteristic of succesfully implemented telemedical applications. Implement Sci 2:25Pravin P et al (2012) A framework for the comparison of mobile patient monitoring systems. J Biomed Inf 45:544–556Reichel A, Rietzsch H, Ludwig B, Röthig K, Moritz A, Bornstein S (2013) Self-adjustment of insulin dose using graphically depicted self-monitoring of blood glucose measurements in patients with type 1 diabetes mellitus. J Diabetes Sci Technol 7(1):156–162Ryan D et al (2012) Clinical and cost effectiveness of mobile phone supported self-monitoring of asthma: multicenter randomized controlled trial. BMJ 344:e1756Schade DS et al (2005) To pump or not to pump. Diabetes Technol Therapeutics 7:845–848Stravroula G, Bartsocas CS et al (2010) SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients. IEEE Trans Inf Technol Biomed 14(3):622–633The Diabetes Control and Complications Trial Research Group (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329(14):977–986Trief PM, Morin PC, Izquierdo R, Teresi JA, Eimicke JP, Goland R, Starren J, Shea S, Winstock RS (2006) Depression and glycaemic control in elderly etchnically diverse patients with diabetes: the IDEATel project. Diabetes Care 29(4):830–835van der Weegentres S et al (2013) The development of a mobile monitoring and feedback tool to stimulate physical activity of people with a chronic disease in primary care: a user-centered design. JMIR 1(2):e8Wakefield BJ et al (2014) Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes. Telemed e-Health 20(3):199–205. doi: 10.1089/tmj.2013.0151Winkler S et al (2011) A new telemonitoring system intended for chronic heart failure patients using mobile technology—Feasibility Study. Int J Cardiol 153:55–58Zhou YY, Kanter MH, Wang JJ, Garrido T (2010) Improved quality at kaiser permanente through e-mail between physicians and patients. Health Aff 29(7):1370–137

Clinical-pathological features and treatment of acute appendicitis in the very elderly: an interim analysis of the FRAILESEL Italian multicentre prospective study

Emergency abdominal surgery in the elderly represents a global issue. Diagnosis of AA in old patients is often more difficult. Appendectomy remains the gold standard of treatment and, even though it is performed almost exclusively with a minimally invasive technique, it can still represent a great risk for the elderly patient, especially above 80 years of age. A careful selection of elderly patients to be directed to surgery is, therefore, fundamental. The primary aim was to critically appraise and compare the clinical-pathological characteristics and the outcomes between oldest old (≥ 80 years) and elderly (65-79 years) patients with Acute Appendicitis (AA)

MEASURE OF ANTIOXIDANT POTENTIAL OF PLASMA BY LC-MS/MS

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User Centered Design to Improve Information Exchange in Diabetes Care Through eHealth: Results from a Small Scale Exploratory Study

[EN] Heterogeneity of people with diabetes makes maintaining blood glucose control and achieving therapy adherence a challenge. It is fundamental that patients get actively involved in the management of the disease in their living environments. The objective of this paper is to evaluate the use and acceptance of a self-management system for diabetes developed with User Centered Design Principles in community settings. Persons with diabetes and health professionals were involved the design, development and evaluation of the self-management system; which comprised three iterative cycles: scenario definition, user archetype definition and system development. A comprehensive system was developed integrating modules for the management of blood glucose levels, medication, food intake habits, physical activity, diabetes education and messaging. The system was adapted for two types of principal users (personas): Type 1 Diabetes user and Type 2 Diabetes user. The system was evaluated by assessing the use, the compliance, the attractiveness and perceived usefulness in a multicenter randomized pilot study involving 20 patients and 24 treating professionals for a period of four weeks. Usage and compliance of the co-designed system was compared during the first and the last two weeks of the study, showing a significantly improved behaviour of patients towards the system for each of the modules. This resulted in a successful adoption by both type of personas. Only the medication module showed a significantly different use and compliance (p= 0.01) which can be explained by the different therapeutic course of the two types of diabetes. The involvement of patients to make their own decisions and choices form design stages was key for the adoption of a self-management system for diabetes.This study was funded by European Commission under the 7th Framework Program grant agreement number 216270.3.Fico, G.; Martinez-Millana, A.; Leuteritz, J.; Fioravanti, A.; Beltrán-Jaunsarás, ME.; Traver Salcedo, V.; Arredondo, MT. (2019). User Centered Design to Improve Information Exchange in Diabetes Care Through eHealth: Results from a Small Scale Exploratory Study. Journal of Medical Systems. 44(1):1-12. https://doi.org/10.1007/s10916-019-1472-5S112441Nolte, E, and McKee, M, Caring for People with Chronic Conditions: A Health System Perspective. UK: McGraw-Hill Education, 2008. ISBN 9780335236909.Bodenheimer, T, Lorig, K, Holman, H, and Grumbach K, PAtient self-management of chronic disease in primary care. JAMA 288(19):2469–2475, 2002. https://doi.org/10.1001/jama.288.19.2469. ISSN 0098-7484.American Diabetes Association, Standards of Medical Care in Diabetes—2008. Diabetes Care 31(Supplement 1): S12–S54, 2008. https://doi.org/10.2337/dc08-S012, http://care.diabetesjournals.org/content/31/Supplement_1/S12.Inzucchi, S E, Bergenstal, R M, Buse, J B, Diamant, M, Ferrannini, E, Nauck, M, Peters, A L, Tsapas, A, Wender, R, and Matthews, D R, Management of hyperglycemia in type 2 Diabetes, 2015: a patient-centered approach: update to a position statement of the American diabetes association and the European association for the study of diabetes. Diabetes Care 38(1):140–149, 2015. https://doi.org/10.2337/dc14-2441. ISSN 19355548.Zarkogianni, K, Litsa, E, Mitsis, K, Wu, P, Kaddi, C, Cheng, C, Wang, M, and Nikita, K, A review of emerging technologies for the management of diabetes mellitus. IEEE Trans. Bio-Med. Eng. PP(99):1, 2015. https://doi.org/10.1109/TBME.2015.2470521. http://www.ncbi.nlm.nih.gov/pubmed/26292334.Reutens, A T, Hutchinson, R, Binh, T V, Cockram, C, Deerochanawong, C, Ho, L T, Ji, L, Khalid, B A K, Kong, A P S, Lim-Abrahan, M A, Tan, C E, Tjokroprawiro, A, Yoon, K H, Zmmet, P Z, and Shaw, J E, The GIANT study, a cluster-randomised controlled trial of efficacy of education of doctors about type 2 diabetes mellitus management guidelines in primary care practice. Diabetes Res. Clin. Pract. 98(1): 38–45, 2012. https://doi.org/10.1016/j.diabres.2012.06.002. ISSN 01688227.Aslan, S., Ciocca, G., and Schettini, R.: Semantic segmentation of food images for automatic dietary monitoring. In: 2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1–4, 2018, https://doi.org/10.1109/SIU.2018.8404824.Gómez, E J, Hernando Pérez, M E, Vering, T, Cros, M R, Bott, O, García-Sáez, G, Pretschner, P, Bruguéz, E, Schnell, O, Patte, C, Bergmann, J, Dudde, R, and de Leiva, A, The INCA system: A further step towards a telemedical artificial pancreas. IEEE Trans. Inf. Technol. Biomed. 12(4): 470–479, 2008. https://doi.org/10.1109/TITB.2007.902162. ISSN 10897771.Martinez-Millana, A, Fico, G, Fernández-Llatas, C, and Traver, V, Performance assessment of a closed-loop system for diabetes management. Med. Biol. Eng. Comput. 53(12):1295–1303, 2015. https://doi.org/10.1007/s11517-015-1245-3. ISSN 1741-0444.Oreskovic, N M, Maniates, J, Weilburg, J, and Choy, G, Optimizing the use of electronic health records to identify high-risk psychosocial determinants of Health. JMIR Med. Inf. 5 (3): e25, 2017. https://doi.org/10.2196/medinform.8240. http://medinform.jmir.org/2017/3/e25/.Conte, R., Sansone, F., Grande, A., Tonacci, A., Napoli, F., Pala, A. P., Raciti, M., and Landi, P.: Development of an integrated ict system for data production, standardization and elaboration in health care. In: 2017 E-Health and Bioengineering Conference (EHB). https://doi.org/10.1109/EHB.2017.7995426, pp. 321–324, 2017.Ryu, B, Kim, N, Heo, E, Yoo, S, Lee, K, Hwang, H, Kim, J.-W., Kim, Y, Lee, J, and Jung, S Y, Impact of an electronic health record-integrated personal health record on patient participation in health care: development and randomized controlled trial of MyHealthKeeper. J. Med. Int. Res. 19(12):e401, 2017. https://doi.org/10.2196/jmir.8867. http://www.jmir.org/2017/12/e401/.Chavez, S, Fedele, D, Guo, Y, Bernier, A, Smith, M, Warnick, J, and Modave, F, Mobile Apps for the management of diabetes. Diabetes Care 40(10):e145–e146, 2017. https://doi.org/10.2337/dc17-0853. http://care.diabetesjournals.org/lookup/doi/10.2337/dc17-0853.Irace, C, Schweitzer, M A, Tripolino, C, Scavelli, F B, and Gnasso, A, Diabetes data management system to improve glycemic control in people with type 1 Diabetes: Prospective cohort study. JMIR mHealth uHealth 5(11):e170, 2017. https://doi.org/10.2196/mhealth.8532. http://mhealth.jmir.org/2017/11/e170/.Helal, A, Cook, D J, and Schmalz, M, Smart home-based health platform for behavioral monitoring and alteration of diabetes patients. J. Diabetes Sci. Technol. 3(1):141–148, 2009. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769843/.Synnott, J, Chen, L, Nugent, C D, and Moore, G: Flexible and customizable visualization of data generated within intelligent environments. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/EMBC.2012.6347317, pp. 5819–5822, 2012.Shahar, Y, Goren-Bar, D, Boaz, D, and Tahan, G, Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions. Artif. Intell. Med. 38(2):115–135, 2006. https://doi.org/10.1016/j.artmed.2005.03.001.Fico, G., Fioravanti, A., Teresa Arredondo, M., Gorman, J., Diazzi, C., Arcuri, G., Conti, C., and Pirini, G., Integration of personalized healthcare pathways in an ict platform for diabetes managements: a small-scale exploratory study. IEEE J. Biomed. Health Inf. 20(1):29–38, 2016. https://doi.org/10.1109/JBHI.2014.2367863. ISSN 2168-2194.Salzburg Global Seminar, Salzburg statement on shared decision making. BMJ 342:d1745, 2011. https://doi.org/10.1136/bmj.d1745, http://www.bmj.com/content/342/bmj.d1745.Stacey, D, Bennett, C L, Barry, M J, Col, N F, Eden, K B, Holmes-Rovner, M, Llewellyn-Thomas, H, Lyddiatt, A, Légaré, F, and Thomson, R, Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst. Rev. 10:CD001431, 2011. https://doi.org/10.1002/14651858.CD001431.pub3. ISSN 1469-493X.Gabert, R, Thomson, B, Gakidou, E, and Roth, G, Identifying high-risk neighborhoods using electronic medical records: a population-based approach for targeting diabetes prevention and treatment interventions. PloS one 11(7):e0159227, 2016. https://doi.org/10.1371/journal.pone.0159227. ISSN 19326203.Barry, M J, and Edgman-Levitan S, Shared decision making — the pinnacle of patient-centered care. England J. Med. 366(9):780–781, 2012. https://doi.org/10.1056/NEJMp1109283. ISSN 0028-4793.Fico, G, Cancela, J, Arredondo, M T, Dagliati, A, Sacchi, L, Segagni, D, Millana, A M, Fernandez-Llatas, C, Traver, V, Sambo, F, et al: User requirements for incorporating diabetes modeling techniques in disease management tools. In: 6th European Conference of the International Federation for Medical and Biological Engineering, pp. 992–995. Springer, 2015.Draznin, B, Gilden, J, Golden, S H, and Inzucchi, S E, Pathways to quality inpatient management of hyperglycemia and diabetes: A call to action. Diabetes Care 36(7):1807–1814, 2013. https://doi.org/10.2337/dc12-2508. ISSN 01495992.Nielsen, J, and Molich, R: Heuristic evaluation of user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’90, pp. 249–256. ACM, New York, 1990.. http://doi.acm.org/10.1145/97243.97281Flores, A E, Ph, D, and Vergara, V M: Functionalities of open electronic health records system. Biomed. Eng. 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a multi analytical approach for the characterisation of the oldest pictorial cycle in the 12th century monastery santa maria delle cerrate

A multidisciplinary research, currently in progress at the University of Salento in collaboration with the Lecce Provincial Museum, interests different artistic expressions widespread in the Salento peninsula (South Italy). In the present study, the characterisation of organic and inorganic materials used in the oldest pictorial cycle found in the 12th century monastery Santa Maria delle Cerrate was carried out thanks to a multi-analytical approach. Previous investigations have focused on the problem of dating the frescoes mainly on the basis of the stylistic aspects and the material characterisation has been definitely underinvestigated. Chromatographic and spectrometric techniques were used: micro-Raman spectroscopy was used for recognising pigments and gas chromatography with mass spectrometric detection for analysing organic binders. These techniques enabled us to characterise pigments and binders. The presence of both true fresco and tempera bound pigments was assessed. Among the different pigments detected, the results relevant to the blue paints were interesting: two different blue pigments were, indeed, identified, lapis lazuli and smalt (cobalt blue glass) both unexpected. As a result, Santa Maria delle Cerrate appears to be the first known example of their use in South Italy. From a conservation point of view, moreover, the knowledge of the palette permitted to highlight the reason of observed decay of some paints: for instance, lead white was used in some panels, explaining their blackening

NOPAL: Natural Origin Protective for Artistic buildings in Lecce stone. Preliminary results.

EnThe work presents the preliminary results of the experimentation of innovative coatings for the protection of artefacts in Lecce stone. Starting from the cladodium of the species Opuntia Ficus-Indica (NOPAL), plant extracts were obtained and their performance have been studied through aging tests and the use of optical and spectroscopic methods, in order to develop a new ecofriendly product, that meets the requirements of non-toxicity, biodegradability, and low cost, and able to efficiently preserve the built heritage made of Lecce stone.ItIl lavoro presenta i risultati preliminari ottenuti dalla sperimentazione in laboratorio di innovativi protettivi green per la protezione dei materiali artistici in pietra leccese. A partire dalla specie Opuntia Ficus-Indica (NOPAL) sono stati ottenuti degli estratti vegetali e le loro performance sono state studiate attraverso test di invecchiamento e l'uso di metodologie ottiche e spettroscopiche, con il fine ultimo di formulare un nuovo prodotto ecofriendly che risponda ai requisiti di non tossicità, biodegradabilità, biocompatibilità, economicità

Involvement of substance P (SP) and its related NK1 receptor in primary Sjögren’s syndrome (pSS) pathogenesis

Primary Sjogren's Syndrome (pSS) is a systemic autoimmune disease that primarily attacks the lacrimal and salivary glands, resulting in impaired secretory function characterized by xerostomia and xerophthalmia. Patients with pSS have been shown to have impaired salivary gland innervation and altered circulating levels of neuropeptides thought to be a cause of decreased salivation, including substance P (SP). Using Western blot analysis and immunofluorescence studies, we examined the expression levels of SP and its preferred G protein-coupled TK Receptor 1 (NK1R) and apoptosis markers in biopsies of the minor salivary gland (MSG) from pSS patients compared with patients with idiopathic sicca syndrome. We confirmed a quantitative decrease in the amount of SP in the MSG of pSS patients and demonstrated a significant increase in NK1R levels compared with sicca subjects, indicating the involvement of SP fibers and NK1R in the impaired salivary secretion observed in pSS patients. Moreover, the increase in apoptosis (PARP-1 cleavage) in pSS patients was shown to be related to JNK phosphorylation. Since there is no satisfactory therapy for the treatment of secretory hypofunction in pSS patients, the SP pathway may be a new potential diagnostic tool or therapeutic target

A dashboard-based system for supporting diabetes care

[EN] Objective To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice. Methods The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications. The dashboard has 2 components, designed for (1) clinical decision support during follow-up consultations and (2) outcome assessment on populations of interest. To assess the impact of the clinical decision support component, a pre-post study was conducted considering visit duration, number of screening examinations, and lifestyle interventions. A pilot sample of 700 Italian patients was investigated. Judgments on the outcome assessment component were obtained via focus groups with clinicians and health care managers. Results The use of the decision support component in clinical activities produced a reduction in visit duration (P¿¿¿.01) and an increase in the number of screening exams for complications (P¿<¿.01). We also observed a relevant, although nonstatistically significant, increase in the proportion of patients receiving lifestyle interventions (from 69% to 77%). Regarding the outcome assessment component, focus groups highlighted the system¿s capability of identifying and understanding the characteristics of patient subgroups treated at the center. Conclusion Our study demonstrates that decision support tools based on the integration of multiple-source data and visual and predictive analytics do improve the management of a chronic disease such as type 2 diabetes by enacting a successful implementation of the learning health care system cycle.This work was supported by the European Union in the Seventh Framework Programme, grant number 600914.Dagliati, A.; Sacchi, L.; Tibollo, V.; Cogni, G.; Teliti, M.; Martinez-Millana, A.; Traver Salcedo, V.... (2018). A dashboard-based system for supporting diabetes care. Journal of the American Medical Informatics Association. 25(5):538-547. https://doi.org/10.1093/jamia/ocx159S538547255Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., & Tang, P. C. (2001). Clinical Decision Support Systems for the Practice of Evidence-based Medicine. Journal of the American Medical Informatics Association, 8(6), 527-534. doi:10.1136/jamia.2001.0080527Palmer, A. J., Roze, S., Valentine, W. J., Minshall, M. E., Foos, V., Lurati, F. M., … Spinas, G. A. (2004). The CORE Diabetes Model: Projecting Long-term Clinical Outcomes, Costs and Costeffectiveness of Interventions in Diabetes Mellitus (Types 1 and 2) to Support Clinical and Reimbursement Decision-making. Current Medical Research and Opinion, 20(sup1), S5-S26. doi:10.1185/030079904x1980O’Connor, P. J., Bodkin, N. L., Fradkin, J., Glasgow, R. E., Greenfield, S., Gregg, E., … Wysham, C. H. (2011). Diabetes Performance Measures: Current Status and Future Directions. Diabetes Care, 34(7), 1651-1659. doi:10.2337/dc11-0735Donsa, K., Beck, P., Höll, B., Mader, J. K., Schaupp, L., Plank, J., … Pieber, T. R. (2016). Impact of errors in paper-based and computerized diabetes management with decision support for hospitalized patients with type 2 diabetes. A post-hoc analysis of a before and after study. 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