Operational rules for the implementation of INN prescribing

INN or brand name drug prescriptions: a multilevel, cross-sectional study in general practice

PURPOSE

The prescription in International Nonproprietary Names (INN) is a legal obligation for all physicians in France since January 2015. The objective of this study was to analyze the frequency and main factors of INN drug prescribing in general practice.

METHODS

Multicenter cross-sectional study conducted with 11 interns acting as observers of 23 GP trainers between November 2015 and January 2016. Two evaluators analyzed all GPs' drug prescriptions to identify INN or brand name prescriptions.

RESULTS

The database included 4957 drugs prescribed during 1647 visits. Of these, 1462 (29.5% [95% CI 28.2-30.8%]) were prescribed only in INN. According to the multivariate analyses, the factors favoring INN prescribing were as follows: at the drug level, its initial prescribing (OR = 1.4), a nonspecific prescribing objective (OR = 1.6), its listing in the generic drug index with (OR = 7.7) or without (OR = 2.9) efficiency objective included in the payment for public health objectives (PPHO) program, and the oral route of administration (OR from 0.4 for the percutaneous route to 0.2 for the pulmonary route); at the patient level, the male gender (OR = 1.3), the age of 15 years or more (OR = 1.9), and the absence of a long-term condition (OR = 1.3); at the physician level, the reception of a public healthcare insurance representative (OR = 4.1), the nonreception of pharmaceutical sales representatives (OR = 3.0), and the urban practice environment (OR = 2.8).

CONCLUSIONS

In 2015, less than one third of drugs were prescribed in INN only in general practice. The use of various incentives and regulatory measures is likely to favor the prescription of INNs by practitioners.

Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets

Genome-wide association studies (GWAS) have identified over two hundred chromosomal loci that modulate risk of coronary artery disease (CAD). The genes affected by variants at these loci are largely unknown and an untapped resource to improve our understanding of CAD pathophysiology and identify potential therapeutic targets. Here, we prioritized 68 genes as the most likely causal genes at genome-wide significant loci identified by GWAS of CAD and examined their regulatory roles in 286 metabolic and vascular tissue gene-protein sub-networks (“modules”). The modules and genes within were scored for CAD druggability potential. The scoring enriched for targets of cardiometabolic drugs currently in clinical use and in-depth analysis of the top-scoring modules validated established and revealed novel target tissues, biological processes, and druggable targets. This study provides an unprecedented resource of tissue-defined gene–protein interactions directly affected by genetic variance in CAD risk loci.

Additional Candidate Genes for Human Atherosclerotic Disease Identified Through Annotation Based on Chromatin Organization

Background—

As genome-wide association efforts, such as CARDIoGRAM and METASTROKE, are ongoing to reveal susceptibility loci for their underlying disease—atherosclerotic disease—identification of candidate genes explaining the associations of these loci has proven the main challenge. Many disease susceptibility loci colocalize with DNA regulatory elements, which influence gene expression through chromatin interactions. Therefore, the target genes of these regulatory elements can be considered candidate genes. Applying these biological principles, we used an alternative approach to annotate susceptibility loci and identify candidate genes for human atherosclerotic disease based on circular chromosome conformation capture followed by sequencing.

Methods and Results—

In human monocytes and coronary endothelial cells, we generated 63 chromatin interaction data sets for 37 active DNA regulatory elements that colocalize with known susceptibility loci for coronary artery disease (CARDIoGRAMplusC4D) and large artery stroke (METASTROKE). By circular chromosome conformation capture followed by sequencing, we identified a physical 3-dimensional interaction with 326 candidate genes expressed in at least 1 of these cell types, of which 294 have not been reported before. We highlight 16 genes based on expression quantitative trait loci.

Conclusions—

Our findings provide additional candidate-gene annotation for 37 disease susceptibility loci for human atherosclerotic disease that are of potential interest to better understand the complex pathophysiology of cardiovascular diseases.

Clinical malaria diagnosis: rule-based classification statistical prototype

In this study, we identified predictors of malaria, developed data mining, statistically enhanced rule-based classification to diagnose malaria and developed an automated system to incorporate the rules and statistical models. The aim of the study was to develop a statistical prototype to perform clinical diagnosis of malaria given its adverse effects on the overall healthcare, yet its treatment remains very expensive for the majority of the patients to afford. Model validation was performed using records from two hospitals (training and predictive datasets) to evaluate system sensitivity, specificity and accuracy. The overall sensitivity of the rule-based classification obtained from the predictive dataset was 70 % [68–74; 95 % CI] with a specificity of 58 % [54–66; 95 % CI]. The values for both sensitivity and specificity varied by age, generally showing better performance for the data mining classification rules for the adult patients. In summary, the proposed system of data mining classification rules provides better performance for persons aged at least 18 years. However, with further modelling, this system of classification rules can provide better sensitivity, specificity and accuracy levels. In conclusion, using the system provides a preliminary test before confirmatory diagnosis is conducted in laboratories.

Attitudes of physicians and pharmacists towards International Non-proprietary Name prescribing in Belgium

International Non-proprietary Name (INN) prescribing is the use of the name of the active ingredient(s) instead of the brand name for prescribing. In Belgium, INN prescribing began in 2005 and a major policy change occurred in 2012. The aim was to explore the opinions of Dutch-speaking general practitioners (GPs) and pharmacists. An electronic questionnaire with 39 five-point Likert scale statements and one open question was administered in 2013. Multivariate analysis was performed with multiple linear regression on a sum score for benefit statements and for drawback statements. Answers to the open question were qualitatively analysed. We received 745 valid responses with a representable sample for both subgroups. Participants perceived the motives to introduce INN prescribing as purely economic (to reduce pharmaceutical expenditures for the government and the patient). Participants accepted the concept of INN prescribing, but 88% stressed the importance of guaranteed treatment continuity, especially in older, chronic patients, to prevent patient confusion, medication non-adherence and erroneous drug use. In conclusion, the current way in which INN prescribing is applied in Belgium leads to many concerns among primary health professionals about patient confusion and medication adherence. Slightly adapting the current concept of INN prescribing to these concerns can turn INN prescribing into one of the major policies in Belgium to reduce pharmaceutical expenditures and to stimulate rational drug prescribing.