Could Behavioral Economics Mitigate Shortcomings in Shared Decision-Making?

While shared decision-making (SDM) is generally considered to be the standard in current clinical practice, strict application of SDM can result in adverse outcomes in certain contexts. This article examines two illustrative cases-antibiotic over-prescription and decision-making at or near the end of life-to highlight how strictly applied SDM can result in suboptimal outcomes. The article continues to describe how strategies from libertarian paternalism, particularly default setting, framing, and nudging, can be valuable tools in supplementing strict applications of SDM, resulting in improved outcomes and patient care on both individual and societal levels.

Real-time in vivo mitochondrial redox assessment confirms enhanced mitochondrial reactive oxygen species in diabetic nephropathy.

While increased mitochondrial reactive oxygen species have been commonly implicated in a variety of disease states, their in vivo role in the pathogenesis of diabetic nephropathy remains controversial. Using a two-photon imaging approach with a genetically encoded redox biosensor, we monitored mitochondrial redox state in the kidneys of experimental models of diabetes in real-time in vivo. Diabetic (db/db) mice that express a redox-sensitive Green Fluorescent Protein biosensor (roGFP) specifically in the mitochondrial matrix (db/dbmt-roGFP) were generated, allowing dynamic monitoring of redox changes in the kidneys. These db/dbmt-roGFP mice exhibited a marked increase in mitochondrial reactive oxygen species in the kidneys. Yeast NADH-dehydrogenase, a mammalian Complex I homolog, was ectopically expressed in cultured podocytes, and this forced expression in roGFP-expressing podocytes prevented high glucose-induced increases in mitochondrial reactive oxygen species. Thus, in vivo monitoring of mitochondrial roGFP in diabetic mice confirms increased production of mitochondrial reactive oxygen species in the kidneys.

An antibiotic stewardship program in a French teaching hospital.

OBJECTIVES: An antibiotic stewardship program was implemented in our teaching hospital in 1999, and strengthened in 2005. We report its organization and impact on antibiotic use. METHODS: This observational study was conducted during a 10-year period (2002-2011). RESULTS: Many interventions were implemented: Infectious Diseases Specialists (IDS) led systematic ward rounds in several departments (1999); nominative antibiotic order form (2005); documentation of IDS advice in the patient's electronic medical record (2007); IDS advice triggered by the pharmacist (formulary restriction, 2007) or because of positive blood cultures (2009); automated weekly extraction of advice given into a database (2011). Seven thousand two hundred and five pieces of advice were recorded between 2007 and 2011: 63% following physician request, 26% triggered by the pharmacist and 9% because of positive blood cultures. Advice was provided by IDS in 95% of cases (63% by phone). The number of antibiotic prescriptions remained stable since 2005 at around 400 defined daily doses (DDD)/1000 patient-days. Documenting, sharing, and choice of action were improved due to the database. CONCLUSIONS: Our antibiotic stewardship program is well accepted by physicians and allows controlling antibiotic use in our hospital.

[Computerized management of a medical department, disease-related group management, clinical research and evaluations]. / Gestion de services, tarification à l'activité, recherche clinique et évaluation des pratiques professionnelles: un même outil informatique.

The current French hospital reform is based on the disease-related group (DRG) approach and the constitution of bigger units pooling several departments of different specialties. This reform needed an efficient assessment of various medical activities. We report our experience of a medical table of our hospital activities used for 27 months. This medical table was made with a basic software integrating 24 parameters. The original concept was the translation of the specific final diagnosis for DRG defined by the site of infection. To create this medical table, we first simplified the conclusions of the patient's chart using a consensual and systematic plan. The number of patients per DRG and their evolution were therefore specifically determined. The medical table helped us in the daily management of our department, to identify the area of recruitment, the potential for heterogeneous care, allowing the implementation of protocols and their applications. Moreover, the table quantified morbidity and mortality, indicating our need for cooperation with other departments. All this data used medical-lexical terms, allowing other than economic analyses, even if this table identifies hospitalization-related costs, namely duration of hospital-stay, nosocomial infections and iatrogenic events. Finally, our table supports medical research and evaluation of practice. Our future goals are to introduce this table in several infectious-diseases units, and create specific tables for the main RDG, including economic parameters.