Operational rules for the implementation of INN prescribing

Bever, Elien Van; Wirtz, Veronika J.; Azermai, Majda; Loof, Geert De; Christiaens, Thierry; Nicolas, Luc; Bortel, Lucas Van; Stichele, Robert Vander

doi:10.1016/j.ijmedinf.2013.09.004

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…The prototype relied on two sources of information in order to guide exploration; approximate model using information from Training data set and a utility-model using test data which is used to refine the approximate model’s predictions (Van Bever et al 2013 ; Wesonga 2015 ). The prototype was able to achieve its intended objectives.…”

Section: Discussionmentioning

confidence: 99%

Clinical malaria diagnosis: rule-based classification statistical prototype

2016

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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.

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Section: Discussionmentioning

confidence: 99%

Clinical malaria diagnosis: rule-based classification statistical prototype

2016

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“…We also tested for the distribution of drug categories that targeted any of the genes in the 25 top-scoring modules (Table 2 ). To this end, we used the ATC (Anatomic Therapeutic Chemical classification system) codes from MedNet INN 49 and ATC/DDD 50 . As expected, we noted a significant enrichment (Fisher’s exact test right-tail P < 0.05) in cardiovascular drugs targeting the genes/proteins in four of the 25 top-scoring modules, and two modules were enriched in drugs targeting blood and blood-forming organs), with one overlap (module 84_3).…”

Section: Resultsmentioning

confidence: 99%

“…In the analysis where the enrichment of cardiometabolic drug targets was compared to other drug targets, the gene was considered cardiometabolic drug target if one or more cardiometabolic drugs targeted the gene, and other drug target if no cardiometabolic drugs targeted the gene and the gene was on the list of all genes targeted by drugs derived from the DGIdb 48 . Second, we created a dictionary of Anatomical Therapeutic Chemical Classification System (ATC) codes based on information from MedNet INN 49 and ATC/DDD 50 . ATC codes reflect standard practices in drug administration, according to diseases for which each drug is most prescribed.…”

Section: Methodsmentioning

confidence: 99%

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

Lempiäinen

Brænne²,

Michoel

et al. 2018

Sci Rep

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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.

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“…Initiatives were already taken by the Belgian government to implement INN prescribing in electronic prescribing and register INN prescriptions using a unique identification number [13]. Additionally, GPs reported the need for (detailed) information on the dispensed medicinal product package when prescribed by INN.…”

Section: Financial Detrimentmentioning

confidence: 99%

“…This list is called the 'NO SWITCH' list and includes narrow therapeutic index drugs (NTIDs). An additional smaller list was established with products exempted from INN prescribing [13].…”

mentioning

confidence: 99%

Attitudes of Physicians and Pharmacists Towards International Non‐Proprietary Name Prescribing in Belgium

Bever

Elseviers

Plovie

et al. 2014

Basic Clin Pharma Tox

Self Cite

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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.

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Operational rules for the implementation of INN prescribing

Cited by 6 publications

References 10 publications

Clinical malaria diagnosis: rule-based classification statistical prototype

Clinical malaria diagnosis: rule-based classification statistical prototype

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

Attitudes of Physicians and Pharmacists Towards International Non‐Proprietary Name Prescribing in Belgium

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